From bb0b3f1047bdc13c72eb4bd14c6024aa2603d046 Mon Sep 17 00:00:00 2001 From: Thibaut Lienart Date: Fri, 21 Feb 2020 00:30:38 +0100 Subject: [PATCH] fd-update --- .../getting-started/ensembles-3/code/ex1.jl | 3 + .../getting-started/ensembles-3/code/ex2.jl | 8 + .../getting-started/ensembles-3/code/ex3.jl | 5 + .../getting-started/ensembles-3/code/ex4.jl | 2 + .../getting-started/ensembles-3/code/ex5.jl | 2 + .../getting-started/ensembles-3/code/ex6.jl | 18 + .../getting-started/ensembles-3/code/ex7.jl | 18 + .../getting-started/ensembles-3/code/ex8.jl | 2 + .../ensembles-3/code/output/e1.svg | 754 ++++++++++++ .../ensembles-3/code/output/e2.svg | 844 +++++++++++++ .../ensembles-3/code/output/ex1.out | 0 .../ensembles-3/code/output/ex1.res | 1 + .../ensembles-3/code/output/ex2.out | 0 .../ensembles-3/code/output/ex2.res | 1 + .../ensembles-3/code/output/ex3.out | 0 .../ensembles-3/code/output/ex3.res | 1 + .../ensembles-3/code/output/ex4.out | 0 .../ensembles-3/code/output/ex4.res | 9 + .../ensembles-3/code/output/ex5.out | 0 .../ensembles-3/code/output/ex5.res | 1 + .../ensembles-3/code/output/ex6.out | 0 .../ensembles-3/code/output/ex6.res | 1 + .../ensembles-3/code/output/ex7.out | 0 .../ensembles-3/code/output/ex7.res | 1 + .../ensembles-3/code/output/ex8.out | 0 .../ensembles-3/code/output/ex8.res | 1 + .../learning-networks-2/code/output/s1.svg | 736 +++++++++++ .../learning-networks-2/code/output/s2.svg | 487 ++++++++ .../learning-networks-2/code/output/s3.svg | 538 ++++++++ .../learning-networks-2/code/output/s4.svg | 458 +++++++ .../getting-started/stacking/code/ex1.jl | 5 + .../getting-started/stacking/code/ex10.jl | 5 + .../getting-started/stacking/code/ex11.jl | 15 + .../getting-started/stacking/code/ex12.jl | 3 + .../getting-started/stacking/code/ex13.jl | 2 + .../getting-started/stacking/code/ex14.jl | 3 + .../getting-started/stacking/code/ex15.jl | 3 + .../getting-started/stacking/code/ex16.jl | 4 + .../getting-started/stacking/code/ex17.jl | 4 + .../getting-started/stacking/code/ex18.jl | 2 + .../getting-started/stacking/code/ex19.jl | 8 + .../getting-started/stacking/code/ex2.jl | 7 + .../getting-started/stacking/code/ex20.jl | 7 + .../getting-started/stacking/code/ex21.jl | 9 + .../getting-started/stacking/code/ex22.jl | 3 + .../getting-started/stacking/code/ex23.jl | 3 + .../getting-started/stacking/code/ex24.jl | 5 + .../getting-started/stacking/code/ex25.jl | 8 + .../getting-started/stacking/code/ex26.jl | 6 + .../getting-started/stacking/code/ex27.jl | 4 + .../getting-started/stacking/code/ex28.jl | 2 + .../getting-started/stacking/code/ex29.jl | 3 + .../getting-started/stacking/code/ex3.jl | 14 + .../getting-started/stacking/code/ex30.jl | 5 + .../getting-started/stacking/code/ex31.jl | 3 + .../getting-started/stacking/code/ex32.jl | 2 + .../getting-started/stacking/code/ex33.jl | 4 + .../getting-started/stacking/code/ex34.jl | 14 + .../getting-started/stacking/code/ex35.jl | 11 + .../getting-started/stacking/code/ex36.jl | 4 + .../getting-started/stacking/code/ex4.jl | 3 + .../getting-started/stacking/code/ex5.jl | 16 + .../getting-started/stacking/code/ex6.jl | 3 + .../getting-started/stacking/code/ex7.jl | 2 + .../getting-started/stacking/code/ex8.jl | 2 + .../getting-started/stacking/code/ex9.jl | 2 + .../stacking/code/output/e1.svg | 783 ++++++++++++ .../stacking/code/output/ex1.out | 0 .../stacking/code/output/ex1.res | 1 + .../stacking/code/output/ex10.out | 0 .../stacking/code/output/ex10.res | 1 + .../stacking/code/output/ex11.out | 0 .../stacking/code/output/ex11.res | 1 + .../stacking/code/output/ex12.out | 0 .../stacking/code/output/ex12.res | 7 + .../stacking/code/output/ex13.out | 0 .../stacking/code/output/ex13.res | 3 + .../stacking/code/output/ex14.out | 0 .../stacking/code/output/ex14.res | 1 + .../stacking/code/output/ex15.out | 0 .../stacking/code/output/ex15.res | 1 + .../stacking/code/output/ex16.out | 0 .../stacking/code/output/ex16.res | 1 + .../stacking/code/output/ex17.out | 0 .../stacking/code/output/ex17.res | 1 + .../stacking/code/output/ex18.out | 0 .../stacking/code/output/ex18.res | 1 + .../stacking/code/output/ex19.out | 0 .../stacking/code/output/ex19.res | 1 + .../stacking/code/output/ex2.out | 0 .../stacking/code/output/ex2.res | 1 + .../stacking/code/output/ex20.out | 0 .../stacking/code/output/ex20.res | 1 + .../stacking/code/output/ex21.out | 0 .../stacking/code/output/ex21.res | 1 + .../stacking/code/output/ex22.out | 0 .../stacking/code/output/ex22.res | 1 + .../stacking/code/output/ex23.out | 0 .../stacking/code/output/ex23.res | 1 + .../stacking/code/output/ex24.out | 0 .../stacking/code/output/ex24.res | 1 + .../stacking/code/output/ex25.out | 0 .../stacking/code/output/ex25.res | 1 + .../stacking/code/output/ex26.out | 4 + .../stacking/code/output/ex26.res | 1 + .../stacking/code/output/ex27.out | 0 .../stacking/code/output/ex27.res | 14 + .../stacking/code/output/ex28.out | 0 .../stacking/code/output/ex28.res | 1 + .../stacking/code/output/ex29.out | 18 + .../stacking/code/output/ex29.res | 1 + .../stacking/code/output/ex3.out | 0 .../stacking/code/output/ex3.res | 1 + .../stacking/code/output/ex30.out | 0 .../stacking/code/output/ex30.res | 1 + .../stacking/code/output/ex31.out | 0 .../stacking/code/output/ex31.res | 1 + .../stacking/code/output/ex32.out | 0 .../stacking/code/output/ex32.res | 1 + .../stacking/code/output/ex33.out | 0 .../stacking/code/output/ex33.res | 1 + .../stacking/code/output/ex34.out | 8 + .../stacking/code/output/ex34.res | 1 + .../stacking/code/output/ex35.out | 0 .../stacking/code/output/ex35.res | 1 + .../stacking/code/output/ex36.out | 2 + .../stacking/code/output/ex36.res | 1 + .../stacking/code/output/ex4.out | 0 .../stacking/code/output/ex4.res | 11 + .../stacking/code/output/ex5.out | 6 + .../stacking/code/output/ex5.res | 1 + .../stacking/code/output/ex6.out | 0 .../stacking/code/output/ex6.res | 1 + .../stacking/code/output/ex7.out | 0 .../stacking/code/output/ex7.res | 1 + .../stacking/code/output/ex8.out | 0 .../stacking/code/output/ex8.res | 1 + .../stacking/code/output/ex9.out | 0 .../stacking/code/output/ex9.res | 8 + .../stacking/code/output/s1.svg | 736 +++++++++++ .../stacking/code/output/s2.svg | 501 ++++++++ .../stacking/code/output/s3.svg | 552 +++++++++ .../stacking/code/output/s4.svg | 472 +++++++ __site/assets/literate/A-ensembles-3.md | 103 ++ .../assets/literate/A-ensembles-3_script.jl | 60 + __site/assets/literate/A-stacking.md | 475 ++++++++ __site/assets/literate/A-stacking_script.jl | 198 +++ __site/data/categorical/index.html | 2 +- __site/data/dataframe/index.html | 2 +- __site/data/loading/index.html | 2 +- __site/data/scitype/index.html | 2 +- __site/e1.svg | 754 ++++++++++++ __site/e2.svg | 764 ++++++++++++ __site/end-to-end/AMES/index.html | 2 +- __site/end-to-end/crabs-xgb/index.html | 2 +- __site/end-to-end/horse/index.html | 2 +- __site/end-to-end/wine/index.html | 2 +- .../generated/notebooks/A-ensembles-3.ipynb | 258 ++++ __site/generated/notebooks/A-stacking.ipynb | 1082 +++++++++++++++++ __site/generated/scripts/A-ensembles-3-raw.jl | 69 ++ __site/generated/scripts/A-ensembles-3.jl | 81 ++ __site/generated/scripts/A-stacking-raw.jl | 207 ++++ __site/generated/scripts/A-stacking.jl | 271 +++++ .../choosing-a-model/index.html | 2 +- .../composing-models/index.html | 2 +- __site/getting-started/ensembles-2/index.html | 2 +- __site/getting-started/ensembles-3/index.html | 71 ++ __site/getting-started/ensembles/index.html | 2 +- .../fit-and-predict/index.html | 2 +- .../learning-networks-2/index.html | 2 +- .../learning-networks/index.html | 2 +- .../getting-started/model-tuning/index.html | 2 +- __site/getting-started/stacking/index.html | 290 +++++ __site/index.html | 8 +- __site/isl/lab-10/index.html | 2 +- __site/isl/lab-2/index.html | 2 +- __site/isl/lab-3/index.html | 2 +- __site/isl/lab-4/index.html | 2 +- __site/isl/lab-5/index.html | 2 +- __site/isl/lab-6b/index.html | 2 +- __site/isl/lab-8/index.html | 2 +- __site/isl/lab-9/index.html | 2 +- __site/libs/lunr/lunr_index.js | 2 +- __site/search/index.html | 2 +- _layout/head.html | 2 + _libs/lunr/lunr_index.js | 4 +- _literate/A-ensembles-3.jl | 87 ++ _literate/A-stacking.jl | 405 ++++++ getting-started/ensembles-3.md | 6 + getting-started/stacking.md | 6 + index.md | 2 + 191 files changed, 12468 insertions(+), 30 deletions(-) create mode 100644 __site/assets/getting-started/ensembles-3/code/ex1.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex2.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex3.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex4.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex5.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex6.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex7.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/ex8.jl create mode 100644 __site/assets/getting-started/ensembles-3/code/output/e1.svg create mode 100644 __site/assets/getting-started/ensembles-3/code/output/e2.svg create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex1.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex1.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex2.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex2.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex3.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex3.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex4.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex4.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex5.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex5.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex6.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex6.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex7.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex7.res create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex8.out create mode 100644 __site/assets/getting-started/ensembles-3/code/output/ex8.res create mode 100644 __site/assets/getting-started/learning-networks-2/code/output/s1.svg create mode 100644 __site/assets/getting-started/learning-networks-2/code/output/s2.svg create mode 100644 __site/assets/getting-started/learning-networks-2/code/output/s3.svg create mode 100644 __site/assets/getting-started/learning-networks-2/code/output/s4.svg create mode 100644 __site/assets/getting-started/stacking/code/ex1.jl create mode 100644 __site/assets/getting-started/stacking/code/ex10.jl create mode 100644 __site/assets/getting-started/stacking/code/ex11.jl create mode 100644 __site/assets/getting-started/stacking/code/ex12.jl create mode 100644 __site/assets/getting-started/stacking/code/ex13.jl create mode 100644 __site/assets/getting-started/stacking/code/ex14.jl create mode 100644 __site/assets/getting-started/stacking/code/ex15.jl create mode 100644 __site/assets/getting-started/stacking/code/ex16.jl create mode 100644 __site/assets/getting-started/stacking/code/ex17.jl create mode 100644 __site/assets/getting-started/stacking/code/ex18.jl create mode 100644 __site/assets/getting-started/stacking/code/ex19.jl create mode 100644 __site/assets/getting-started/stacking/code/ex2.jl create mode 100644 __site/assets/getting-started/stacking/code/ex20.jl create mode 100644 __site/assets/getting-started/stacking/code/ex21.jl create mode 100644 __site/assets/getting-started/stacking/code/ex22.jl create mode 100644 __site/assets/getting-started/stacking/code/ex23.jl create mode 100644 __site/assets/getting-started/stacking/code/ex24.jl create mode 100644 __site/assets/getting-started/stacking/code/ex25.jl create mode 100644 __site/assets/getting-started/stacking/code/ex26.jl create mode 100644 __site/assets/getting-started/stacking/code/ex27.jl create mode 100644 __site/assets/getting-started/stacking/code/ex28.jl create mode 100644 __site/assets/getting-started/stacking/code/ex29.jl create mode 100644 __site/assets/getting-started/stacking/code/ex3.jl create mode 100644 __site/assets/getting-started/stacking/code/ex30.jl create mode 100644 __site/assets/getting-started/stacking/code/ex31.jl create mode 100644 __site/assets/getting-started/stacking/code/ex32.jl create mode 100644 __site/assets/getting-started/stacking/code/ex33.jl create mode 100644 __site/assets/getting-started/stacking/code/ex34.jl create mode 100644 __site/assets/getting-started/stacking/code/ex35.jl create mode 100644 __site/assets/getting-started/stacking/code/ex36.jl create mode 100644 __site/assets/getting-started/stacking/code/ex4.jl create mode 100644 __site/assets/getting-started/stacking/code/ex5.jl create mode 100644 __site/assets/getting-started/stacking/code/ex6.jl create mode 100644 __site/assets/getting-started/stacking/code/ex7.jl create mode 100644 __site/assets/getting-started/stacking/code/ex8.jl create mode 100644 __site/assets/getting-started/stacking/code/ex9.jl create mode 100644 __site/assets/getting-started/stacking/code/output/e1.svg create mode 100644 __site/assets/getting-started/stacking/code/output/ex1.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex1.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex10.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex10.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex11.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex11.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex12.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex12.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex13.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex13.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex14.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex14.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex15.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex15.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex16.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex16.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex17.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex17.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex18.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex18.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex19.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex19.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex2.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex2.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex20.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex20.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex21.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex21.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex22.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex22.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex23.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex23.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex24.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex24.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex25.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex25.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex26.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex26.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex27.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex27.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex28.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex28.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex29.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex29.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex3.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex3.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex30.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex30.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex31.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex31.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex32.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex32.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex33.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex33.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex34.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex34.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex35.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex35.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex36.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex36.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex4.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex4.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex5.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex5.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex6.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex6.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex7.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex7.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex8.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex8.res create mode 100644 __site/assets/getting-started/stacking/code/output/ex9.out create mode 100644 __site/assets/getting-started/stacking/code/output/ex9.res create mode 100644 __site/assets/getting-started/stacking/code/output/s1.svg create mode 100644 __site/assets/getting-started/stacking/code/output/s2.svg create mode 100644 __site/assets/getting-started/stacking/code/output/s3.svg create mode 100644 __site/assets/getting-started/stacking/code/output/s4.svg create mode 100644 __site/assets/literate/A-ensembles-3.md create mode 100644 __site/assets/literate/A-ensembles-3_script.jl create mode 100644 __site/assets/literate/A-stacking.md create mode 100644 __site/assets/literate/A-stacking_script.jl create mode 100644 __site/e1.svg create mode 100644 __site/e2.svg create mode 100644 __site/generated/notebooks/A-ensembles-3.ipynb create mode 100644 __site/generated/notebooks/A-stacking.ipynb create mode 100644 __site/generated/scripts/A-ensembles-3-raw.jl create mode 100644 __site/generated/scripts/A-ensembles-3.jl create mode 100644 __site/generated/scripts/A-stacking-raw.jl create mode 100644 __site/generated/scripts/A-stacking.jl create mode 100644 __site/getting-started/ensembles-3/index.html create mode 100644 __site/getting-started/stacking/index.html create mode 100644 _literate/A-ensembles-3.jl create mode 100644 _literate/A-stacking.jl create mode 100644 getting-started/ensembles-3.md create mode 100644 getting-started/stacking.md diff --git a/__site/assets/getting-started/ensembles-3/code/ex1.jl b/__site/assets/getting-started/ensembles-3/code/ex1.jl new file mode 100644 index 00000000..c5b643dd --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex1.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +using MLJ, PyPlot +import Statistics \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex2.jl b/__site/assets/getting-started/ensembles-3/code/ex2.jl new file mode 100644 index 00000000..20a80b77 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex2.jl @@ -0,0 +1,8 @@ +# This file was generated, do not modify it. # hide +Xs = source() +ys = source(kind=:target) + +atom = @load DecisionTreeRegressor +atom.n_subfeatures = 4 # to ensure diversity among trained atomic models + +machines = (machine(atom, Xs, ys) for i in 1:100) \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex3.jl b/__site/assets/getting-started/ensembles-3/code/ex3.jl new file mode 100644 index 00000000..ff0ffbd7 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex3.jl @@ -0,0 +1,5 @@ +# This file was generated, do not modify it. # hide +Statistics.mean(v...) = mean(v) +Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...) + +yhat = mean([predict(m, Xs) for m in machines]); \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex4.jl b/__site/assets/getting-started/ensembles-3/code/ex4.jl new file mode 100644 index 00000000..977e693e --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex4.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex5.jl b/__site/assets/getting-started/ensembles-3/code/ex5.jl new file mode 100644 index 00000000..ab9dcb86 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex5.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +X, y = @load_boston; \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex6.jl b/__site/assets/getting-started/ensembles-3/code/ex6.jl new file mode 100644 index 00000000..7c4ce013 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex6.jl @@ -0,0 +1,18 @@ +# This file was generated, do not modify it. # hide +r = range(atom, + :min_samples_split, + lower=2, + upper=100, scale=:log) + +mach = machine(atom, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e1.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex7.jl b/__site/assets/getting-started/ensembles-3/code/ex7.jl new file mode 100644 index 00000000..b6df5ed6 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex7.jl @@ -0,0 +1,18 @@ +# This file was generated, do not modify it. # hide +r = range(one_hundred_models, + :(atom.min_samples_split), + lower=2, + upper=100, scale=:log) + +mach = machine(one_hundred_models, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e2.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/ex8.jl b/__site/assets/getting-started/ensembles-3/code/ex8.jl new file mode 100644 index 00000000..db395e38 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/ex8.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +PyPlot.close_figs() # hide \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/e1.svg b/__site/assets/getting-started/ensembles-3/code/output/e1.svg new file mode 100644 index 00000000..d10ba432 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/e1.svg @@ -0,0 +1,754 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/ensembles-3/code/output/e2.svg b/__site/assets/getting-started/ensembles-3/code/output/e2.svg new file mode 100644 index 00000000..a279dfe8 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/e2.svg @@ -0,0 +1,844 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex1.out b/__site/assets/getting-started/ensembles-3/code/output/ex1.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex1.res b/__site/assets/getting-started/ensembles-3/code/output/ex1.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex1.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex2.out b/__site/assets/getting-started/ensembles-3/code/output/ex2.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex2.res b/__site/assets/getting-started/ensembles-3/code/output/ex2.res new file mode 100644 index 00000000..d112101d --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex2.res @@ -0,0 +1 @@ +Base.Generator{UnitRange{Int64},Main.FD_SANDBOX_15866893453267974565.var"#1#2"}(Main.FD_SANDBOX_15866893453267974565.var"#1#2"(), 1:100) \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex3.out b/__site/assets/getting-started/ensembles-3/code/output/ex3.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex3.res b/__site/assets/getting-started/ensembles-3/code/output/ex3.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex3.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex4.out b/__site/assets/getting-started/ensembles-3/code/output/ex4.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex4.res b/__site/assets/getting-started/ensembles-3/code/output/ex4.res new file mode 100644 index 00000000..266bd6f4 --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex4.res @@ -0,0 +1,9 @@ +OneHundredModels( + atom = DecisionTreeRegressor( + max_depth = -1, + min_samples_leaf = 5, + min_samples_split = 2, + min_purity_increase = 0.0, + n_subfeatures = 4, + post_prune = false, + merge_purity_threshold = 1.0)) @ 1…12 \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex5.out b/__site/assets/getting-started/ensembles-3/code/output/ex5.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex5.res b/__site/assets/getting-started/ensembles-3/code/output/ex5.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex5.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex6.out b/__site/assets/getting-started/ensembles-3/code/output/ex6.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex6.res b/__site/assets/getting-started/ensembles-3/code/output/ex6.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex6.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex7.out b/__site/assets/getting-started/ensembles-3/code/output/ex7.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex7.res b/__site/assets/getting-started/ensembles-3/code/output/ex7.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex7.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex8.out b/__site/assets/getting-started/ensembles-3/code/output/ex8.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/ensembles-3/code/output/ex8.res b/__site/assets/getting-started/ensembles-3/code/output/ex8.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/ensembles-3/code/output/ex8.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/learning-networks-2/code/output/s1.svg b/__site/assets/getting-started/learning-networks-2/code/output/s1.svg new file mode 100644 index 00000000..56a1f3e6 --- /dev/null +++ b/__site/assets/getting-started/learning-networks-2/code/output/s1.svg @@ -0,0 +1,736 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/learning-networks-2/code/output/s2.svg b/__site/assets/getting-started/learning-networks-2/code/output/s2.svg new file mode 100644 index 00000000..f11cad0b --- /dev/null +++ b/__site/assets/getting-started/learning-networks-2/code/output/s2.svg @@ -0,0 +1,487 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/learning-networks-2/code/output/s3.svg b/__site/assets/getting-started/learning-networks-2/code/output/s3.svg new file mode 100644 index 00000000..bbd746a6 --- /dev/null +++ b/__site/assets/getting-started/learning-networks-2/code/output/s3.svg @@ -0,0 +1,538 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/learning-networks-2/code/output/s4.svg b/__site/assets/getting-started/learning-networks-2/code/output/s4.svg new file mode 100644 index 00000000..de464f0c --- /dev/null +++ b/__site/assets/getting-started/learning-networks-2/code/output/s4.svg @@ -0,0 +1,458 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/stacking/code/ex1.jl b/__site/assets/getting-started/stacking/code/ex1.jl new file mode 100644 index 00000000..5355d495 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex1.jl @@ -0,0 +1,5 @@ +# This file was generated, do not modify it. # hide +using MLJ, PyPlot +MLJ.color_off() # hide +import Random.seed! +seed!(1234) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex10.jl b/__site/assets/getting-started/stacking/code/ex10.jl new file mode 100644 index 00000000..09d1592d --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex10.jl @@ -0,0 +1,5 @@ +# This file was generated, do not modify it. # hide +MLJ.restrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> restrict(XX, ff, i), X, f); +MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> corestrict(XX, ff, i), X, f); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex11.jl b/__site/assets/getting-started/stacking/code/ex11.jl new file mode 100644 index 00000000..47c3dea5 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex11.jl @@ -0,0 +1,15 @@ +# This file was generated, do not modify it. # hide +figure(figsize=(8,6)) +steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1) +x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4] +Xraw = (x = x, ) +yraw = steps.(x); +idxsort = sortperm(x) +xsort = x[idxsort] +ysort = yraw[idxsort] +step(xsort, ysort, label="truth", where="mid") +plot(x, yraw, ls="none", marker="o", label="data") +xlim(-4.5, 4.5) +legend() + +savefig(joinpath(@OUTPUT, "s1.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex12.jl b/__site/assets/getting-started/stacking/code/ex12.jl new file mode 100644 index 00000000..ce374a7b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex12.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +model1 = linear +model2 = knn \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex13.jl b/__site/assets/getting-started/stacking/code/ex13.jl new file mode 100644 index 00000000..c56c5f7d --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex13.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +judge = linear \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex14.jl b/__site/assets/getting-started/stacking/code/ex14.jl new file mode 100644 index 00000000..8a241026 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex14.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +X = source(Xraw) +y = source(yraw; kind=:target) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex15.jl b/__site/assets/getting-started/stacking/code/ex15.jl new file mode 100644 index 00000000..cc355127 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex15.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +f = folds(X, 3) +f() \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex16.jl b/__site/assets/getting-started/stacking/code/ex16.jl new file mode 100644 index 00000000..159c6fd7 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex16.jl @@ -0,0 +1,4 @@ +# This file was generated, do not modify it. # hide +m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1)) +m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2)) +m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3)) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex17.jl b/__site/assets/getting-started/stacking/code/ex17.jl new file mode 100644 index 00000000..4d8f4565 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex17.jl @@ -0,0 +1,4 @@ +# This file was generated, do not modify it. # hide +y11 = predict(m11, restrict(X, f, 1)); +y12 = predict(m12, restrict(X, f, 2)); +y13 = predict(m13, restrict(X, f, 3)); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex18.jl b/__site/assets/getting-started/stacking/code/ex18.jl new file mode 100644 index 00000000..51baca74 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex18.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +y1_oos = vcat(y11, y12, y13); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex19.jl b/__site/assets/getting-started/stacking/code/ex19.jl new file mode 100644 index 00000000..d420a147 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex19.jl @@ -0,0 +1,8 @@ +# This file was generated, do not modify it. # hide +fit!(y1_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y1_oos(), ls="none", marker="o", label="linear oos") + +savefig(joinpath(@OUTPUT, "s2.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex2.jl b/__site/assets/getting-started/stacking/code/ex2.jl new file mode 100644 index 00000000..4f35af29 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex2.jl @@ -0,0 +1,7 @@ +# This file was generated, do not modify it. # hide +linear = @load LinearRegressor pkg=MLJLinearModels +ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01 +knn = @load KNNRegressor; knn.K = 4 +tree = @load DecisionTreeRegressor; min_samples_leaf=1 +forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500 +svm = @load SVMRegressor; \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex20.jl b/__site/assets/getting-started/stacking/code/ex20.jl new file mode 100644 index 00000000..4d5efce1 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex20.jl @@ -0,0 +1,7 @@ +# This file was generated, do not modify it. # hide +m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1)) +m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2)) +m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3)) +y21 = predict(m21, restrict(X, f, 1)); +y22 = predict(m22, restrict(X, f, 2)); +y23 = predict(m23, restrict(X, f, 3)); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex21.jl b/__site/assets/getting-started/stacking/code/ex21.jl new file mode 100644 index 00000000..bd959dc8 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex21.jl @@ -0,0 +1,9 @@ +# This file was generated, do not modify it. # hide +y2_oos = vcat(y21, y22, y23); +fit!(y2_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y2_oos(), ls="none", marker="o", label="knn oos") + +savefig(joinpath(@OUTPUT, "s3.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex22.jl b/__site/assets/getting-started/stacking/code/ex22.jl new file mode 100644 index 00000000..9456402c --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex22.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +X_oos = MLJ.table(hcat(y1_oos, y2_oos)) +m_judge = machine(judge, X_oos, y) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex23.jl b/__site/assets/getting-started/stacking/code/ex23.jl new file mode 100644 index 00000000..503d4899 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex23.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +m1 = machine(model1, X, y) +m2 = machine(model2, X, y) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex24.jl b/__site/assets/getting-started/stacking/code/ex24.jl new file mode 100644 index 00000000..ca5df7a7 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex24.jl @@ -0,0 +1,5 @@ +# This file was generated, do not modify it. # hide +y1 = predict(m1, X); +y2 = predict(m2, X); +X_judge = MLJ.table(hcat(y1, y2)) +yhat = predict(m_judge, X_judge) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex25.jl b/__site/assets/getting-started/stacking/code/ex25.jl new file mode 100644 index 00000000..53d9fab1 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex25.jl @@ -0,0 +1,8 @@ +# This file was generated, do not modify it. # hide +fit!(yhat, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, yhat(), ls="none", marker="o", label="yhat") + +savefig(joinpath(@OUTPUT, "s4.svg")) # hide \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex26.jl b/__site/assets/getting-started/stacking/code/ex26.jl new file mode 100644 index 00000000..ecd451d0 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex26.jl @@ -0,0 +1,6 @@ +# This file was generated, do not modify it. # hide +e1 = rms(y1(), y()) +e2 = rms(y2(), y()) +emean = rms(0.5*y1() + 0.5*y2(), y()) +estack = rms(yhat(), y()) +@show e1 e2 emean estack; \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex27.jl b/__site/assets/getting-started/stacking/code/ex27.jl new file mode 100644 index 00000000..8b954d89 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex27.jl @@ -0,0 +1,4 @@ +# This file was generated, do not modify it. # hide +@from_network MyTwoModelStack(regressor1=model1, + regressor2=model2, + judge=judge) <= yhat \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex28.jl b/__site/assets/getting-started/stacking/code/ex28.jl new file mode 100644 index 00000000..e7bba5b1 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex28.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +X0, y0 = @load_reduced_ames; \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex29.jl b/__site/assets/getting-started/stacking/code/ex29.jl new file mode 100644 index 00000000..593a3ba0 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex29.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +s = schema(X0) +(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex3.jl b/__site/assets/getting-started/stacking/code/ex3.jl new file mode 100644 index 00000000..c19a4502 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex3.jl @@ -0,0 +1,14 @@ +# This file was generated, do not modify it. # hide +X = source() +y = source(kind=:target) + +model1 = linear +model2 = knn + +m1 = machine(model1, X, y) +y1 = predict(m1, X) + +m2 = machine(model2, X, y) +y2 = predict(m2, X) + +yhat = 0.5*y1 + 0.5*y2 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex30.jl b/__site/assets/getting-started/stacking/code/ex30.jl new file mode 100644 index 00000000..697a1135 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex30.jl @@ -0,0 +1,5 @@ +# This file was generated, do not modify it. # hide +X1 = coerce(X0, :OverallQual => Continuous, + :GarageCars => Continuous, + :YearRemodAdd => Continuous, + :YearBuilt => Continuous); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex31.jl b/__site/assets/getting-started/stacking/code/ex31.jl new file mode 100644 index 00000000..14165850 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex31.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0) +X = transform(hot_mach, X1); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex32.jl b/__site/assets/getting-started/stacking/code/ex32.jl new file mode 100644 index 00000000..6604a745 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex32.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +scitype(X) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex33.jl b/__site/assets/getting-started/stacking/code/ex33.jl new file mode 100644 index 00000000..2a5e3803 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex33.jl @@ -0,0 +1,4 @@ +# This file was generated, do not modify it. # hide +y1 = log.(y0) +y = transform(fit!(machine(UnivariateStandardizer(), y1), + verbosity=0), y1); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex34.jl b/__site/assets/getting-started/stacking/code/ex34.jl new file mode 100644 index 00000000..50044d10 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex34.jl @@ -0,0 +1,14 @@ +# This file was generated, do not modify it. # hide +avg = MyAverageTwo(regressor1=forest, + regressor2=ridge) + + +stack = MyTwoModelStack(regressor1=forest, + regressor2=ridge, + judge=linear) + +all_models = [forest, ridge, avg, stack]; + +for model in all_models + print_performance(model, X, y) +end; \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex35.jl b/__site/assets/getting-started/stacking/code/ex35.jl new file mode 100644 index 00000000..d2e21434 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex35.jl @@ -0,0 +1,11 @@ +# This file was generated, do not modify it. # hide +r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log) +tuned_stack = TunedModel(model=stack, + ranges=r, + tuning=Grid(), + measure=rms, + resampling=Holdout()) + +mach = fit!(machine(tuned_stack, X, y), verbosity=0) +best_stack = fitted_params(mach).best_model +best_stack.regressor2.lambda \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex36.jl b/__site/assets/getting-started/stacking/code/ex36.jl new file mode 100644 index 00000000..02219841 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex36.jl @@ -0,0 +1,4 @@ +# This file was generated, do not modify it. # hide +print_performance(best_stack, X, y) + +PyPlot.close_figs() # hide \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex4.jl b/__site/assets/getting-started/stacking/code/ex4.jl new file mode 100644 index 00000000..bce128ea --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex4.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +avg = @from_network MyAverageTwo(regressor1=model1, + regressor2=model2) <= yhat \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex5.jl b/__site/assets/getting-started/stacking/code/ex5.jl new file mode 100644 index 00000000..874e0660 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex5.jl @@ -0,0 +1,16 @@ +# This file was generated, do not modify it. # hide +function print_performance(model, data...) + e = evaluate(model, data...; + resampling=CV(rng=1234, nfolds=8), + measure=rms, + verbosity=0) + μ = round(e.measurement[1], sigdigits=5) + ste = round(std(e.per_fold[1])/sqrt(8), digits=5) + println("\n $model = $μ ± $(2*ste)") +end; + +X, y = @load_boston + +print_performance(linear, X, y) +print_performance(knn, X, y) +print_performance(avg, X, y) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex6.jl b/__site/assets/getting-started/stacking/code/ex6.jl new file mode 100644 index 00000000..e7ca185e --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex6.jl @@ -0,0 +1,3 @@ +# This file was generated, do not modify it. # hide +folds(data, nfolds) = + partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex7.jl b/__site/assets/getting-started/stacking/code/ex7.jl new file mode 100644 index 00000000..af749c42 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex7.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +f = folds(1:10, 3) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex8.jl b/__site/assets/getting-started/stacking/code/ex8.jl new file mode 100644 index 00000000..f54f0a92 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex8.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X); \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/ex9.jl b/__site/assets/getting-started/stacking/code/ex9.jl new file mode 100644 index 00000000..4dda2f56 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/ex9.jl @@ -0,0 +1,2 @@ +# This file was generated, do not modify it. # hide +corestrict(string.(1:10), f, 2) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/e1.svg b/__site/assets/getting-started/stacking/code/output/e1.svg new file mode 100644 index 00000000..a7c87fe4 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/e1.svg @@ -0,0 +1,783 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/stacking/code/output/ex1.out b/__site/assets/getting-started/stacking/code/output/ex1.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex1.res b/__site/assets/getting-started/stacking/code/output/ex1.res new file mode 100644 index 00000000..840e3910 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex1.res @@ -0,0 +1 @@ +MersenneTwister(UInt32[0x000004d2]) @ 1002 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex10.out b/__site/assets/getting-started/stacking/code/output/ex10.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex10.res b/__site/assets/getting-started/stacking/code/output/ex10.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex10.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex11.out b/__site/assets/getting-started/stacking/code/output/ex11.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex11.res b/__site/assets/getting-started/stacking/code/output/ex11.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex11.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex12.out b/__site/assets/getting-started/stacking/code/output/ex12.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex12.res b/__site/assets/getting-started/stacking/code/output/ex12.res new file mode 100644 index 00000000..3a98db3b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex12.res @@ -0,0 +1,7 @@ +KNNRegressor( + K = 4, + algorithm = :kdtree, + metric = Distances.Euclidean(0.0), + leafsize = 10, + reorder = true, + weights = :uniform) @ 1…34 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex13.out b/__site/assets/getting-started/stacking/code/output/ex13.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex13.res b/__site/assets/getting-started/stacking/code/output/ex13.res new file mode 100644 index 00000000..72b18687 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex13.res @@ -0,0 +1,3 @@ +LinearRegressor( + fit_intercept = true, + solver = nothing) @ 5…31 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex14.out b/__site/assets/getting-started/stacking/code/output/ex14.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex14.res b/__site/assets/getting-started/stacking/code/output/ex14.res new file mode 100644 index 00000000..cfc8c6e5 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex14.res @@ -0,0 +1 @@ +Source{:target} @ 1…80 diff --git a/__site/assets/getting-started/stacking/code/output/ex15.out b/__site/assets/getting-started/stacking/code/output/ex15.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex15.res b/__site/assets/getting-started/stacking/code/output/ex15.res new file mode 100644 index 00000000..d88b1bba --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex15.res @@ -0,0 +1 @@ +([1, 2, 3], [4, 5, 6], [7, 8, 9]) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex16.out b/__site/assets/getting-started/stacking/code/output/ex16.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex16.res b/__site/assets/getting-started/stacking/code/output/ex16.res new file mode 100644 index 00000000..10c1ad73 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex16.res @@ -0,0 +1 @@ +NodalMachine @ 2…93 = machine(LinearRegressor @ 5…31, 8…47, 6…53) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex17.out b/__site/assets/getting-started/stacking/code/output/ex17.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex17.res b/__site/assets/getting-started/stacking/code/output/ex17.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex17.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex18.out b/__site/assets/getting-started/stacking/code/output/ex18.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex18.res b/__site/assets/getting-started/stacking/code/output/ex18.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex18.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex19.out b/__site/assets/getting-started/stacking/code/output/ex19.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex19.res b/__site/assets/getting-started/stacking/code/output/ex19.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex19.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex2.out b/__site/assets/getting-started/stacking/code/output/ex2.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex2.res b/__site/assets/getting-started/stacking/code/output/ex2.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex2.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex20.out b/__site/assets/getting-started/stacking/code/output/ex20.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex20.res b/__site/assets/getting-started/stacking/code/output/ex20.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex20.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex21.out b/__site/assets/getting-started/stacking/code/output/ex21.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex21.res b/__site/assets/getting-started/stacking/code/output/ex21.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex21.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex22.out b/__site/assets/getting-started/stacking/code/output/ex22.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex22.res b/__site/assets/getting-started/stacking/code/output/ex22.res new file mode 100644 index 00000000..508d0418 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex22.res @@ -0,0 +1 @@ +NodalMachine @ 1…19 = machine(LinearRegressor @ 5…31, 1…60, 1…80) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex23.out b/__site/assets/getting-started/stacking/code/output/ex23.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex23.res b/__site/assets/getting-started/stacking/code/output/ex23.res new file mode 100644 index 00000000..8b496cd5 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex23.res @@ -0,0 +1 @@ +NodalMachine @ 8…74 = machine(KNNRegressor @ 1…34, 6…44, 1…80) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex24.out b/__site/assets/getting-started/stacking/code/output/ex24.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex24.res b/__site/assets/getting-started/stacking/code/output/ex24.res new file mode 100644 index 00000000..49f8439c --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex24.res @@ -0,0 +1 @@ +Node @ 4…11 = predict(1…19, table(hcat(predict(1…75, 6…44), predict(8…74, 6…44)))) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex25.out b/__site/assets/getting-started/stacking/code/output/ex25.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex25.res b/__site/assets/getting-started/stacking/code/output/ex25.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex25.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex26.out b/__site/assets/getting-started/stacking/code/output/ex26.out new file mode 100644 index 00000000..7c1f1695 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex26.out @@ -0,0 +1,4 @@ +e1 = 0.2581988897471611 +e2 = 0.25 +emean = 0.22126530078919587 +estack = 0.19577994695380313 diff --git a/__site/assets/getting-started/stacking/code/output/ex26.res b/__site/assets/getting-started/stacking/code/output/ex26.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex26.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex27.out b/__site/assets/getting-started/stacking/code/output/ex27.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex27.res b/__site/assets/getting-started/stacking/code/output/ex27.res new file mode 100644 index 00000000..261f295e --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex27.res @@ -0,0 +1,14 @@ +MyTwoModelStack( + regressor1 = LinearRegressor( + fit_intercept = true, + solver = nothing), + regressor2 = KNNRegressor( + K = 4, + algorithm = :kdtree, + metric = Distances.Euclidean(0.0), + leafsize = 10, + reorder = true, + weights = :uniform), + judge = LinearRegressor( + fit_intercept = true, + solver = nothing)) @ 1…65 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex28.out b/__site/assets/getting-started/stacking/code/output/ex28.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex28.res b/__site/assets/getting-started/stacking/code/output/ex28.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex28.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex29.out b/__site/assets/getting-started/stacking/code/output/ex29.out new file mode 100644 index 00000000..775d54d1 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex29.out @@ -0,0 +1,18 @@ +┌──────────────┬───────────────────┐ +│ names │ scitypes │ +│ Symbol │ DataType │ +│ Unknown │ Unknown │ +├──────────────┼───────────────────┤ +│ OverallQual │ OrderedFactor{10} │ +│ GrLivArea │ Continuous │ +│ Neighborhood │ Multiclass{25} │ +│ x1stFlrSF │ Continuous │ +│ TotalBsmtSF │ Continuous │ +│ BsmtFinSF1 │ Continuous │ +│ LotArea │ Continuous │ +│ GarageCars │ Count │ +│ MSSubClass │ Multiclass{15} │ +│ GarageArea │ Continuous │ +│ YearRemodAdd │ Count │ +│ YearBuilt │ Count │ +└──────────────┴───────────────────┘ diff --git a/__site/assets/getting-started/stacking/code/output/ex29.res b/__site/assets/getting-started/stacking/code/output/ex29.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex29.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex3.out b/__site/assets/getting-started/stacking/code/output/ex3.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex3.res b/__site/assets/getting-started/stacking/code/output/ex3.res new file mode 100644 index 00000000..594288fc --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex3.res @@ -0,0 +1 @@ +Node @ 7…82 = +(#80(predict(1…58, 2…95)), #80(predict(5…88, 2…95))) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex30.out b/__site/assets/getting-started/stacking/code/output/ex30.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex30.res b/__site/assets/getting-started/stacking/code/output/ex30.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex30.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex31.out b/__site/assets/getting-started/stacking/code/output/ex31.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex31.res b/__site/assets/getting-started/stacking/code/output/ex31.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex31.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex32.out b/__site/assets/getting-started/stacking/code/output/ex32.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex32.res b/__site/assets/getting-started/stacking/code/output/ex32.res new file mode 100644 index 00000000..713143ba --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex32.res @@ -0,0 +1 @@ +Table{AbstractArray{Continuous,1}} \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex33.out b/__site/assets/getting-started/stacking/code/output/ex33.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex33.res b/__site/assets/getting-started/stacking/code/output/ex33.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex33.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex34.out b/__site/assets/getting-started/stacking/code/output/ex34.out new file mode 100644 index 00000000..2dc2bed9 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex34.out @@ -0,0 +1,8 @@ + + RandomForestRegressor @ 1…05 = 0.3625 ± 0.02022 + + RidgeRegressor @ 1…79 = 0.33029 ± 0.01908 + + MyAverageTwo @ 2…57 = 0.34601 ± 0.01464 + + MyTwoModelStack @ 6…91 = 0.33028 ± 0.01938 diff --git a/__site/assets/getting-started/stacking/code/output/ex34.res b/__site/assets/getting-started/stacking/code/output/ex34.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex34.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex35.out b/__site/assets/getting-started/stacking/code/output/ex35.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex35.res b/__site/assets/getting-started/stacking/code/output/ex35.res new file mode 100644 index 00000000..5ac790b5 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex35.res @@ -0,0 +1 @@ +10.27808532802195 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex36.out b/__site/assets/getting-started/stacking/code/output/ex36.out new file mode 100644 index 00000000..4845786f --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex36.out @@ -0,0 +1,2 @@ + + MyTwoModelStack @ 1…18 = 0.32861 ± 0.01914 diff --git a/__site/assets/getting-started/stacking/code/output/ex36.res b/__site/assets/getting-started/stacking/code/output/ex36.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex36.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex4.out b/__site/assets/getting-started/stacking/code/output/ex4.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex4.res b/__site/assets/getting-started/stacking/code/output/ex4.res new file mode 100644 index 00000000..9d1642cf --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex4.res @@ -0,0 +1,11 @@ +MyAverageTwo( + regressor1 = LinearRegressor( + fit_intercept = true, + solver = nothing), + regressor2 = KNNRegressor( + K = 4, + algorithm = :kdtree, + metric = Distances.Euclidean(0.0), + leafsize = 10, + reorder = true, + weights = :uniform)) @ 1…06 \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex5.out b/__site/assets/getting-started/stacking/code/output/ex5.out new file mode 100644 index 00000000..4a96ce4e --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex5.out @@ -0,0 +1,6 @@ + + LinearRegressor @ 5…31 = 4.9779 ± 0.90056 + + KNNRegressor @ 1…34 = 6.3794 ± 0.89744 + + MyAverageTwo @ 1…06 = 4.9802 ± 0.94746 diff --git a/__site/assets/getting-started/stacking/code/output/ex5.res b/__site/assets/getting-started/stacking/code/output/ex5.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex5.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex6.out b/__site/assets/getting-started/stacking/code/output/ex6.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex6.res b/__site/assets/getting-started/stacking/code/output/ex6.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex6.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex7.out b/__site/assets/getting-started/stacking/code/output/ex7.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex7.res b/__site/assets/getting-started/stacking/code/output/ex7.res new file mode 100644 index 00000000..256d0a8c --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex7.res @@ -0,0 +1 @@ +([1, 2, 3], [4, 5, 6], [7, 8, 9, 10]) \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex8.out b/__site/assets/getting-started/stacking/code/output/ex8.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex8.res b/__site/assets/getting-started/stacking/code/output/ex8.res new file mode 100644 index 00000000..97896a0b --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex8.res @@ -0,0 +1 @@ +nothing \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/ex9.out b/__site/assets/getting-started/stacking/code/output/ex9.out new file mode 100644 index 00000000..e69de29b diff --git a/__site/assets/getting-started/stacking/code/output/ex9.res b/__site/assets/getting-started/stacking/code/output/ex9.res new file mode 100644 index 00000000..be6ee3dc --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/ex9.res @@ -0,0 +1,8 @@ +7-element Array{String,1}: + "1" + "2" + "3" + "7" + "8" + "9" + "10" \ No newline at end of file diff --git a/__site/assets/getting-started/stacking/code/output/s1.svg b/__site/assets/getting-started/stacking/code/output/s1.svg new file mode 100644 index 00000000..ec0cf02d --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/s1.svg @@ -0,0 +1,736 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/stacking/code/output/s2.svg b/__site/assets/getting-started/stacking/code/output/s2.svg new file mode 100644 index 00000000..dbf09b82 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/s2.svg @@ -0,0 +1,501 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/stacking/code/output/s3.svg b/__site/assets/getting-started/stacking/code/output/s3.svg new file mode 100644 index 00000000..f53df234 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/s3.svg @@ -0,0 +1,552 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/getting-started/stacking/code/output/s4.svg b/__site/assets/getting-started/stacking/code/output/s4.svg new file mode 100644 index 00000000..798e2be8 --- /dev/null +++ b/__site/assets/getting-started/stacking/code/output/s4.svg @@ -0,0 +1,472 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/__site/assets/literate/A-ensembles-3.md b/__site/assets/literate/A-ensembles-3.md new file mode 100644 index 00000000..cd572469 --- /dev/null +++ b/__site/assets/literate/A-ensembles-3.md @@ -0,0 +1,103 @@ + +# Simple example of a homogeneous ensemble using learning networks + +In this simple example, no bagging is used, so every atomic model +gets the same learned parameters, unless the atomic model training +algorithm has randomness, eg, DecisionTree with random subsampling +of features at nodes. + +Note that MLJ has a built in model wrapper called `EnsembleModel` +for creating bagged ensembles with a few lines of code. + +## Definition of composite model type + +```julia:ex1 +using MLJ, PyPlot +import Statistics +``` + +learning network (composite model spec): + +```julia:ex2 +Xs = source() +ys = source(kind=:target) + +atom = @load DecisionTreeRegressor +atom.n_subfeatures = 4 # to ensure diversity among trained atomic models + +machines = (machine(atom, Xs, ys) for i in 1:100) +``` + +overload `mean` for nodes: + +```julia:ex3 +Statistics.mean(v...) = mean(v) +Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...) + +yhat = mean([predict(m, Xs) for m in machines]); +``` + +new composite model type and instance: + +```julia:ex4 +one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat +``` + +## Application to data + +```julia:ex5 +X, y = @load_boston; +``` + +tune regularization parameter for a *single* tree: + +```julia:ex6 +r = range(atom, + :min_samples_split, + lower=2, + upper=100, scale=:log) + +mach = machine(atom, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e1.svg")) # hide +``` + +\fig{e1.svg} + +tune regularization parameter for all trees in ensemble simultaneously: + +```julia:ex7 +r = range(one_hundred_models, + :(atom.min_samples_split), + lower=2, + upper=100, scale=:log) + +mach = machine(one_hundred_models, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e2.svg")) # hide +``` + +\fig{e2} + +```julia:ex8 +PyPlot.close_figs() # hide +``` + diff --git a/__site/assets/literate/A-ensembles-3_script.jl b/__site/assets/literate/A-ensembles-3_script.jl new file mode 100644 index 00000000..6c75381e --- /dev/null +++ b/__site/assets/literate/A-ensembles-3_script.jl @@ -0,0 +1,60 @@ +# This file was generated, do not modify it. + +using MLJ, PyPlot +import Statistics + +Xs = source() +ys = source(kind=:target) + +atom = @load DecisionTreeRegressor +atom.n_subfeatures = 4 # to ensure diversity among trained atomic models + +machines = (machine(atom, Xs, ys) for i in 1:100) + +Statistics.mean(v...) = mean(v) +Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...) + +yhat = mean([predict(m, Xs) for m in machines]); + +one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat + +X, y = @load_boston; + +r = range(atom, + :min_samples_split, + lower=2, + upper=100, scale=:log) + +mach = machine(atom, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e1.svg")) # hide + +r = range(one_hundred_models, + :(atom.min_samples_split), + lower=2, + upper=100, scale=:log) + +mach = machine(one_hundred_models, X, y) + +curve = learning_curve!(mach, + range=r, + measure=mav, + resampling=CV(nfolds=9), + verbosity=0) + +plot(curve.parameter_values, curve.measurements) +xlabel(curve.parameter_name) + +savefig(joinpath(@OUTPUT, "e2.svg")) # hide + +PyPlot.close_figs() # hide + diff --git a/__site/assets/literate/A-stacking.md b/__site/assets/literate/A-stacking.md new file mode 100644 index 00000000..0b7f65b2 --- /dev/null +++ b/__site/assets/literate/A-stacking.md @@ -0,0 +1,475 @@ + +In stacking one blends the predictions of different regressors or +classifiers to gain, in some cases, better performance than naive +averaging or majority vote. + +Here we illustrate how to build a two-model stack as an MLJ learning +network, which we export as a new stand-alone composite model +type `MyTwoStack`. This will make the stack that we build completely +re-usable (new data, new models) and means we can apply +meta-algorithms, such as performance evaluation and tuning, to the +stack, exaclty as we would for any other model. + +Our main purpose here is to demonstrate the flexibility of MLJ's +composite model interface. Eventually, MLJ will provide built-in +composite types or macros to achieve the same results in a few +lines, which will suffice for routine stacking tasks. + +After defining the `MyTwoStack` model type, we instantiate it for an +application to the Ames House Price data set. + +## Basic stacking using out-of-sample base learner predictions + +A rather general stacking protocol was first described in a [1992 +paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608005800231) +by David Wolpert. For a generic introduction to the basic two-layer +stack described here, see [this blog +post](https://burakhimmetoglu.com/2016/12/01/stacking-models-for-improved-predictions/) +of Burak Himmetoglu. + +A basic stack consists of a number of base learners (two, in this +illustration) and a single adjudicating model. + +When a stacked model is called to make a prediction, the individual +predictions of the base learners are made the columns of an *input* +table for the adjudicating model, which then outputs the final +prediction. However, it is crucial to understand that the flow of +data *during training* is not the same. + +The base model predictions used to train the adjudicating model are +*not* the predictions of the base learners fitted to all the +training data. Rather, to prevent the adjudicator giving too much +weight to the base learners with low *training* error, the input +data is first split into a number of folds (as in cross-validation), +a base learner is trained on each fold complement individually, and +corresponding predictions on the folds are spliced together to form +a full-length prediction called the *out-of-sample.prediction*. + +For illustrative purposes we use just three folds. Each base learner +will get three separate machines, for training on each fold +complement, and a fourth machine, trained on all the supplied data, +for use in the prediction flow. + +We build the learning network with dummy data at the source nodes, +so the reader inspect the workings of the network as it is built (by +calling `fit!` on nodes, and by calling the nodes themselves). As +usual, this data is not seen by the exported composite model type, +and the component models we choose are just default values for the +hyperparameters of the composite model. + +```julia:ex1 +using MLJ, PyPlot +MLJ.color_off() # hide +import Random.seed! +seed!(1234) +``` + +Some models we will use: + +```julia:ex2 +linear = @load LinearRegressor pkg=MLJLinearModels +ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01 +knn = @load KNNRegressor; knn.K = 4 +tree = @load DecisionTreeRegressor; min_samples_leaf=1 +forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500 +svm = @load SVMRegressor; +``` + +### Warm-up exercise: Define a model type to average predictions + +Let's define a composite model type `MyAverageTwo` that +averages the predictions of two deterministic regressors. Here's the learning network: + +```julia:ex3 +X = source() +y = source(kind=:target) + +model1 = linear +model2 = knn + +m1 = machine(model1, X, y) +y1 = predict(m1, X) + +m2 = machine(model2, X, y) +y2 = predict(m2, X) + +yhat = 0.5*y1 + 0.5*y2 +``` + +And the macro call to define `MyAverageTwo` and an instance `average_two`: + +```julia:ex4 +avg = @from_network MyAverageTwo(regressor1=model1, + regressor2=model2) <= yhat +``` + +Evaluating this average model on the Boston data set, and comparing +with the base model predictions: + +```julia:ex5 +function print_performance(model, data...) + e = evaluate(model, data...; + resampling=CV(rng=1234, nfolds=8), + measure=rms, + verbosity=0) + μ = round(e.measurement[1], sigdigits=5) + ste = round(std(e.per_fold[1])/sqrt(8), digits=5) + println("\n $model = $μ ± $(2*ste)") +end; + +X, y = @load_boston + +print_performance(linear, X, y) +print_performance(knn, X, y) +print_performance(avg, X, y) +``` + +## Stacking proper +### Helper functions: + +To generate folds for generating out-of-sample predictions, we define + +```julia:ex6 +folds(data, nfolds) = + partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...); +``` + +For example, we have: + +```julia:ex7 +f = folds(1:10, 3) +``` + +In our learning network, the folds will depend on the input data, +which will be wrapped as a source node. We therefore need to +overload the `folds` function for nodes: + +```julia:ex8 +folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X); +``` + +It will also be convenient to use the MLJ method `restrict(X, f, i)` +that restricts data `X` to the `i`th element (fold) of `f`, and +`corestrict(X, f, i)` that restricts to the corresponding fold +complement (the concatenation of all but the `i`th +fold). + +For example, we have: + +```julia:ex9 +corestrict(string.(1:10), f, 2) +``` + +Overloading these functions for nodes: + +```julia:ex10 +MLJ.restrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> restrict(XX, ff, i), X, f); +MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> corestrict(XX, ff, i), X, f); +``` + +All the other data manipulations we will need (`vcat`, `hcat`, +`MLJ.table`) are already overloaded to work with nodes. + +### Choose some test data (optional) and some component models (defaults for the composite model): + +```julia:ex11 +figure(figsize=(8,6)) +steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1) +x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4] +Xraw = (x = x, ) +yraw = steps.(x); +idxsort = sortperm(x) +xsort = x[idxsort] +ysort = yraw[idxsort] +step(xsort, ysort, label="truth", where="mid") +plot(x, yraw, ls="none", marker="o", label="data") +xlim(-4.5, 4.5) +legend() + +savefig(joinpath(@OUTPUT, "s1.svg")) # hide +``` + +\fig{s1.svg} + +Some models to stack: + +```julia:ex12 +model1 = linear +model2 = knn +``` + +The adjudicating model: + +```julia:ex13 +judge = linear +``` + +### Define the training nodes + +Let's instantiate some input and target source nodes for the +learning network, wrapping the play data defined above: + +Wrapped as source node: + +```julia:ex14 +X = source(Xraw) +y = source(yraw; kind=:target) +``` + +Our first internal node represents the three folds (vectors of row +indices) for creating the out-of-sample predictions: + +```julia:ex15 +f = folds(X, 3) +f() +``` + +Constructing machines for training `model1` on each fold-complement: + +```julia:ex16 +m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1)) +m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2)) +m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3)) +``` + +Define each out-of-sample prediction of `model1`: + +```julia:ex17 +y11 = predict(m11, restrict(X, f, 1)); +y12 = predict(m12, restrict(X, f, 2)); +y13 = predict(m13, restrict(X, f, 3)); +``` + +Splice together the out-of-sample predictions for model1: + +```julia:ex18 +y1_oos = vcat(y11, y12, y13); +``` + +Optionally, to check our network so far, we can fit and plot +`y1_oos`: + +```julia:ex19 +fit!(y1_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y1_oos(), ls="none", marker="o", label="linear oos") + +savefig(joinpath(@OUTPUT, "s2.svg")) # hide +``` + +\fig{s2.svg} + +We now repeat the procedure for the other model: + +```julia:ex20 +m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1)) +m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2)) +m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3)) +y21 = predict(m21, restrict(X, f, 1)); +y22 = predict(m22, restrict(X, f, 2)); +y23 = predict(m23, restrict(X, f, 3)); +``` + +And testing the knn out-of-sample prediction: + +```julia:ex21 +y2_oos = vcat(y21, y22, y23); +fit!(y2_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y2_oos(), ls="none", marker="o", label="knn oos") + +savefig(joinpath(@OUTPUT, "s3.svg")) # hide +``` + +\fig{s3.svg} + +Now that we have the out-of-sample base learner predictions, we are +ready to merge them into the adjudicator's input table and construct +the machine for training the adjudicator: + +```julia:ex22 +X_oos = MLJ.table(hcat(y1_oos, y2_oos)) +m_judge = machine(judge, X_oos, y) +``` + +Are we done with constructing machines? Well, not quite. Recall that +when use the stack to make predictions on new data, we will be +feeding the adjudicator ordinary predictions on the base +learners. But so far, we have only defined machines to train the +base learners on fold complements, not on the full data, which we do +now: + +```julia:ex23 +m1 = machine(model1, X, y) +m2 = machine(model2, X, y) +``` + +### Define nodes still needed for prediction + +To obtain the final prediction, `yhat`, we get the base learner +predictions, based on training with all data, and feed them to the +adjudicator: + +```julia:ex24 +y1 = predict(m1, X); +y2 = predict(m2, X); +X_judge = MLJ.table(hcat(y1, y2)) +yhat = predict(m_judge, X_judge) +``` + +Let's check the final prediction node can be fit and called: + +```julia:ex25 +fit!(yhat, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, yhat(), ls="none", marker="o", label="yhat") + +savefig(joinpath(@OUTPUT, "s4.svg")) # hide +``` + +\fig{s4} + +Although of little statistical significance here, we note that +stacking gives a lower *training* error than naive averaging: + +```julia:ex26 +e1 = rms(y1(), y()) +e2 = rms(y2(), y()) +emean = rms(0.5*y1() + 0.5*y2(), y()) +estack = rms(yhat(), y()) +@show e1 e2 emean estack; +``` + +## Export the learning network as a new model type + +The learning network (less the data wrapped in the source nodes) +amounts to a specification of a new composite model type for +two-model stacks, trained with three-fold resampling of base model +predictions. Let's create the new type `MyTwoModelStack`: + +```julia:ex27 +@from_network MyTwoModelStack(regressor1=model1, + regressor2=model2, + judge=judge) <= yhat +``` + +And this completes the definition of our re-usable stacking model type. + +## Applying `MyTwoModelStack` to Ames House Price data + +Without undertaking any hyperparameter optimization, we evaluate the +performance of a random forest and ridge regressor on the well-known +Ames House Prices data, and compare the performance with a stack +(and simple averaging) using the random forest and ridge regressors +as base learners. We then indicate some options for tuning the +stack. + +#### Data pre-processing + +Here we use a 12-feature reduced subset of the Ames House Price data +set: + +```julia:ex28 +X0, y0 = @load_reduced_ames; +``` + +Inspect scitypes: + +```julia:ex29 +s = schema(X0) +(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty +``` + +Coerce counts and ordered factors to continuous: + +```julia:ex30 +X1 = coerce(X0, :OverallQual => Continuous, + :GarageCars => Continuous, + :YearRemodAdd => Continuous, + :YearBuilt => Continuous); +``` + +One-hot encode the multiclass: + +```julia:ex31 +hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0) +X = transform(hot_mach, X1); +``` + +Check the final scitype: + +```julia:ex32 +scitype(X) +``` + +transform the target: + +```julia:ex33 +y1 = log.(y0) +y = transform(fit!(machine(UnivariateStandardizer(), y1), + verbosity=0), y1); +``` + +#### Define the stack and compare performance: + +```julia:ex34 +avg = MyAverageTwo(regressor1=forest, + regressor2=ridge) + + +stack = MyTwoModelStack(regressor1=forest, + regressor2=ridge, + judge=linear) + +all_models = [forest, ridge, avg, stack]; + +for model in all_models + print_performance(model, X, y) +end; +``` + +#### Tuning a stack + +A standard abuse of good data hygiene practice is to optimize stack +component models *separately* and then tune the adjudicating model +hyperparameters (using the same resampling of the data) with the +base learners fixed. Although more computationally expensive, better +generalization might be expected by applying tuning to the stack as +a whole, either simultaneously, or in in cheaper sequential +steps. Since our stack is a stand-alone model, this is readily +implemented. + +As a proof of concept, let's see how to tune one of the base model +hyperparameters, based on performance of the stack as a whole: + +```julia:ex35 +r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log) +tuned_stack = TunedModel(model=stack, + ranges=r, + tuning=Grid(), + measure=rms, + resampling=Holdout()) + +mach = fit!(machine(tuned_stack, X, y), verbosity=0) +best_stack = fitted_params(mach).best_model +best_stack.regressor2.lambda +``` + +Let's evaluate the best stack using the same data resampling used to +the evaluate the assorted untuned models earlier (now we are neglecting +data hygeine!): + +```julia:ex36 +print_performance(best_stack, X, y) + +PyPlot.close_figs() # hide +``` + diff --git a/__site/assets/literate/A-stacking_script.jl b/__site/assets/literate/A-stacking_script.jl new file mode 100644 index 00000000..a25a0060 --- /dev/null +++ b/__site/assets/literate/A-stacking_script.jl @@ -0,0 +1,198 @@ +# This file was generated, do not modify it. + +using MLJ, PyPlot +MLJ.color_off() # hide +import Random.seed! +seed!(1234) + +linear = @load LinearRegressor pkg=MLJLinearModels +ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01 +knn = @load KNNRegressor; knn.K = 4 +tree = @load DecisionTreeRegressor; min_samples_leaf=1 +forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500 +svm = @load SVMRegressor; + +X = source() +y = source(kind=:target) + +model1 = linear +model2 = knn + +m1 = machine(model1, X, y) +y1 = predict(m1, X) + +m2 = machine(model2, X, y) +y2 = predict(m2, X) + +yhat = 0.5*y1 + 0.5*y2 + +avg = @from_network MyAverageTwo(regressor1=model1, + regressor2=model2) <= yhat + +function print_performance(model, data...) + e = evaluate(model, data...; + resampling=CV(rng=1234, nfolds=8), + measure=rms, + verbosity=0) + μ = round(e.measurement[1], sigdigits=5) + ste = round(std(e.per_fold[1])/sqrt(8), digits=5) + println("\n $model = $μ ± $(2*ste)") +end; + +X, y = @load_boston + +print_performance(linear, X, y) +print_performance(knn, X, y) +print_performance(avg, X, y) + +folds(data, nfolds) = + partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...); + +f = folds(1:10, 3) + +folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X); + +corestrict(string.(1:10), f, 2) + +MLJ.restrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> restrict(XX, ff, i), X, f); +MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) = + node((XX, ff) -> corestrict(XX, ff, i), X, f); + +figure(figsize=(8,6)) +steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1) +x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4] +Xraw = (x = x, ) +yraw = steps.(x); +idxsort = sortperm(x) +xsort = x[idxsort] +ysort = yraw[idxsort] +step(xsort, ysort, label="truth", where="mid") +plot(x, yraw, ls="none", marker="o", label="data") +xlim(-4.5, 4.5) +legend() + +savefig(joinpath(@OUTPUT, "s1.svg")) # hide + +model1 = linear +model2 = knn + +judge = linear + +X = source(Xraw) +y = source(yraw; kind=:target) + +f = folds(X, 3) +f() + +m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1)) +m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2)) +m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3)) + +y11 = predict(m11, restrict(X, f, 1)); +y12 = predict(m12, restrict(X, f, 2)); +y13 = predict(m13, restrict(X, f, 3)); + +y1_oos = vcat(y11, y12, y13); + +fit!(y1_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y1_oos(), ls="none", marker="o", label="linear oos") + +savefig(joinpath(@OUTPUT, "s2.svg")) # hide + +m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1)) +m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2)) +m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3)) +y21 = predict(m21, restrict(X, f, 1)); +y22 = predict(m22, restrict(X, f, 2)); +y23 = predict(m23, restrict(X, f, 3)); + +y2_oos = vcat(y21, y22, y23); +fit!(y2_oos, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, y2_oos(), ls="none", marker="o", label="knn oos") + +savefig(joinpath(@OUTPUT, "s3.svg")) # hide + +X_oos = MLJ.table(hcat(y1_oos, y2_oos)) +m_judge = machine(judge, X_oos, y) + +m1 = machine(model1, X, y) +m2 = machine(model2, X, y) + +y1 = predict(m1, X); +y2 = predict(m2, X); +X_judge = MLJ.table(hcat(y1, y2)) +yhat = predict(m_judge, X_judge) + +fit!(yhat, verbosity=0) + +figure(figsize=(8,6)) +step(xsort, ysort, label="truth", where="mid") +plot(x, yhat(), ls="none", marker="o", label="yhat") + +savefig(joinpath(@OUTPUT, "s4.svg")) # hide + +e1 = rms(y1(), y()) +e2 = rms(y2(), y()) +emean = rms(0.5*y1() + 0.5*y2(), y()) +estack = rms(yhat(), y()) +@show e1 e2 emean estack; + +@from_network MyTwoModelStack(regressor1=model1, + regressor2=model2, + judge=judge) <= yhat + +X0, y0 = @load_reduced_ames; + +s = schema(X0) +(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty + +X1 = coerce(X0, :OverallQual => Continuous, + :GarageCars => Continuous, + :YearRemodAdd => Continuous, + :YearBuilt => Continuous); + +hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0) +X = transform(hot_mach, X1); + +scitype(X) + +y1 = log.(y0) +y = transform(fit!(machine(UnivariateStandardizer(), y1), + verbosity=0), y1); + +avg = MyAverageTwo(regressor1=forest, + regressor2=ridge) + + +stack = MyTwoModelStack(regressor1=forest, + regressor2=ridge, + judge=linear) + +all_models = [forest, ridge, avg, stack]; + +for model in all_models + print_performance(model, X, y) +end; + +r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log) +tuned_stack = TunedModel(model=stack, + ranges=r, + tuning=Grid(), + measure=rms, + resampling=Holdout()) + +mach = fit!(machine(tuned_stack, X, y), verbosity=0) +best_stack = fitted_params(mach).best_model +best_stack.regressor2.lambda + +print_performance(best_stack, X, y) + +PyPlot.close_figs() # hide + diff --git a/__site/data/categorical/index.html b/__site/data/categorical/index.html index d752cf5b..5fb37ab6 100644 --- a/__site/data/categorical/index.html +++ b/__site/data/categorical/index.html @@ -1,4 +1,4 @@ - Handling categorical data

Handling categorical data

Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save).
  1. Defining a categorical vector
  2. Working with categoricals
    1. Ordered categoricals
    2. Missing values
This tutorial follows loosely the docs.

Defining a categorical vector

using CategoricalArrays
+         Handling categorical data    
   
 
 
Handling categorical data
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Defining a categorical vector
  2. Working with categoricals
    1. Ordered categoricals
    2. Missing values
This tutorial follows loosely the docs.
 
Defining a categorical vector
 
using CategoricalArrays
 
 v = categorical(["AA", "BB", "CC", "AA", "BB", "CC"])
6-element CategoricalArrays.CategoricalArray{String,1,UInt32}:
  "AA"
diff --git a/__site/data/dataframe/index.html b/__site/data/dataframe/index.html
index b6eddc2d..4e15d83b 100644
--- a/__site/data/dataframe/index.html
+++ b/__site/data/dataframe/index.html
@@ -1,4 +1,4 @@
-         Manipulating a DataFrame    
   
 
 
Manipulating a DataFrame
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Basics
    1. Accessing data
    2. Describing the data
    3. Converting the data
    4. Adding columns
    5. Missing values
  2. Split-Apply-Combine
    1. groupby
    2. by
    3. aggregate
This tutorial is loosely adapted from this pandas tutorial as well as the DataFrames.jl documentation. It is by no means meant to be a complete introduction, rather, it focuses on some key functionalities that are particularly useful in a classical machine learning context.
 
Basics
 
To start with, we will use the Boston dataset which is very simple.
 
using RDatasets, DataFrames
+         Manipulating a DataFrame    
   
 
 
Manipulating a DataFrame
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Basics
    1. Accessing data
    2. Describing the data
    3. Converting the data
    4. Adding columns
    5. Missing values
  2. Split-Apply-Combine
    1. groupby
    2. by
    3. aggregate
This tutorial is loosely adapted from this pandas tutorial as well as the DataFrames.jl documentation. It is by no means meant to be a complete introduction, rather, it focuses on some key functionalities that are particularly useful in a classical machine learning context.
 
Basics
 
To start with, we will use the Boston dataset which is very simple.
 
using RDatasets, DataFrames
 
 boston = dataset("MASS", "Boston");
 
The dataset function returns a DataFrame object:
 
typeof(boston)
DataFrames.DataFrame

 
Accessing data

diff --git a/__site/data/loading/index.html b/__site/data/loading/index.html
index ae6765e9..14facbae 100644
--- a/__site/data/loading/index.html
+++ b/__site/data/loading/index.html
@@ -1,4 +1,4 @@
-         Loading and elementary processing of data    
   
 
 
Loading and elementary processing of data
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Using RDatasets
  2. Using CSV
    1. Basic usage
    2. Example 1
    3. Example 2
In this short tutorial we discuss two ways to easily load data in Julia:
 
     
  1. loading a standard dataset via RDatasets.jl,
     
  2. loading a local file with CSV.jl,
     
 
Using RDatasets
 
The package RDatasets.jl provides access to most of the many datasets listed on this page. These are well known, standard datasets that can be used to get started with data processing and classical machine learning such as for instance iris, crabs, Boston, etc.
 
To load such a dataset, you will need to specify which R package it belongs to as well as its name; for instance Boston is part of MASS.
 
using RDatasets
+         Loading and elementary processing of data    
   
 
 
Loading and elementary processing of data
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Using RDatasets
  2. Using CSV
    1. Basic usage
    2. Example 1
    3. Example 2
In this short tutorial we discuss two ways to easily load data in Julia:
 
     
  1. loading a standard dataset via RDatasets.jl,
     
  2. loading a local file with CSV.jl,
     
 
Using RDatasets
 
The package RDatasets.jl provides access to most of the many datasets listed on this page. These are well known, standard datasets that can be used to get started with data processing and classical machine learning such as for instance iris, crabs, Boston, etc.
 
To load such a dataset, you will need to specify which R package it belongs to as well as its name; for instance Boston is part of MASS.
 
using RDatasets
 
 boston = dataset("MASS", "Boston");
 
The fact that Boston is part of MASS is clearly indicated on the list linked to earlier. While it can be a bit slow, loading a dataset via RDatasets is very simple and convenient as you don't have to worry about setting the names of columns etc.
 
The dataset function returns a DataFrame object from the DataFrames.jl package.
 
typeof(boston)
DataFrames.DataFrame

 
For a short introduction to DataFrame objects, see this tutorial.

diff --git a/__site/data/scitype/index.html b/__site/data/scitype/index.html
index c322ed89..a43c145a 100644
--- a/__site/data/scitype/index.html
+++ b/__site/data/scitype/index.html
@@ -1,4 +1,4 @@
-         Data interpretation: Scientific Types    
   
 
 
Data interpretation: Scientific Types
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Machine type vs Scientific Type
    1. Why make a distinction?
    2. The Scientific Types
    3. Inspecting the scitype
    4. Changing the scitype
    5. String and Unknown
  2. Tips and tricks
    1. Type to Type coercion
    2. Autotype
Machine type vs Scientific Type
 
Why make a distinction?
 
When analysing data, it is important to distinguish between
 
     
  • how the data is encoded (e.g. Int), and
     
  • how the data should be interpreted (e.g. a class label, a count, ...)
     
 
How the data is encoded will be referred to as the machine type whereas how the data should be interpreted will be referred to as the scientific type (or scitype).
 
In some cases, this may be un-ambiguous, for instance if you have a vector of floating point values, this should usually be interpreted as a continuous feature (e.g.: weights, speeds, temperatures, ...).
 
In many other cases however, there may be ambiguities, we list a few examples below:
 
     
  • A vector of Int e.g. [1, 2, ...] which should be interpreted as categorical labels,
     
  • A vector of Int e.g. [1, 2, ...] which should be interpreted as count data,
     
  • A vector of String e.g. ["High", "Low", "High", ...] which should be interpreted as ordered categorical labels,
     
  • A vector of String e.g. ["John", "Maria", ...] which should not interpreted as informative data,
     
  • A vector of floating points [1.5, 1.5, -2.3, -2.3] which should be interpreted as categorical data (e.g. the few possible values of some setting), etc.
     
 
The Scientific Types
 
The package ScientificTypes.jl defines a barebone type hierarchy which can be used to indicate how a particular feature should be interpreted; in particular:
 
Found
+         Data interpretation: Scientific Types    
   
 
 
Data interpretation: Scientific Types
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Machine type vs Scientific Type
    1. Why make a distinction?
    2. The Scientific Types
    3. Inspecting the scitype
    4. Changing the scitype
    5. String and Unknown
  2. Tips and tricks
    1. Type to Type coercion
    2. Autotype
Machine type vs Scientific Type
 
Why make a distinction?
 
When analysing data, it is important to distinguish between
 
     
  • how the data is encoded (e.g. Int), and
     
  • how the data should be interpreted (e.g. a class label, a count, ...)
     
 
How the data is encoded will be referred to as the machine type whereas how the data should be interpreted will be referred to as the scientific type (or scitype).
 
In some cases, this may be un-ambiguous, for instance if you have a vector of floating point values, this should usually be interpreted as a continuous feature (e.g.: weights, speeds, temperatures, ...).
 
In many other cases however, there may be ambiguities, we list a few examples below:
 
     
  • A vector of Int e.g. [1, 2, ...] which should be interpreted as categorical labels,
     
  • A vector of Int e.g. [1, 2, ...] which should be interpreted as count data,
     
  • A vector of String e.g. ["High", "Low", "High", ...] which should be interpreted as ordered categorical labels,
     
  • A vector of String e.g. ["John", "Maria", ...] which should not interpreted as informative data,
     
  • A vector of floating points [1.5, 1.5, -2.3, -2.3] which should be interpreted as categorical data (e.g. the few possible values of some setting), etc.
     
 
The Scientific Types
 
The package ScientificTypes.jl defines a barebone type hierarchy which can be used to indicate how a particular feature should be interpreted; in particular:
 
Found
 ├─ Known
 │  ├─ Textual
 │  ├─ Finite
diff --git a/__site/e1.svg b/__site/e1.svg
new file mode 100644
index 00000000..80abc2a6
--- /dev/null
+++ b/__site/e1.svg
@@ -0,0 +1,754 @@
+
+
+
+
+ 
+  
+ 
+ 
+  
+   
+  
+  
+   
+    
+   
+   
+    
+     
+      
+       
+      
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+     
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+     
+     
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+     
+    
+   
+   
+    
+     
+      
+       
+      
+      
+       
+      
+     
+     
+      
+      
+       
+       
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+       
+      
+     
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+  
+ 
+ 
+  
+   
+  
+ 
+
diff --git a/__site/e2.svg b/__site/e2.svg
new file mode 100644
index 00000000..bdf9a587
--- /dev/null
+++ b/__site/e2.svg
@@ -0,0 +1,764 @@
+
+
+
+
+ 
+  
+ 
+ 
+  
+   
+  
+  
+   
+    
+   
+   
+    
+     
+      
+       
+      
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+     
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+     
+     
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+      
+     
+    
+   
+   
+    
+     
+      
+       
+      
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+    
+     
+      
+       
+      
+     
+     
+      
+      
+       
+       
+       
+      
+     
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+   
+    
+   
+  
+ 
+ 
+  
+   
+  
+ 
+
diff --git a/__site/end-to-end/AMES/index.html b/__site/end-to-end/AMES/index.html
index 06426500..1d6835dc 100644
--- a/__site/end-to-end/AMES/index.html
+++ b/__site/end-to-end/AMES/index.html
@@ -1,4 +1,4 @@
-         AMES    
   
 
 
AMES
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Baby steps
  2. Dummy model
  3. KNN-Ridge blend
    1. Using the expanded syntax
    2. Using the "arrow" syntax
    3. Tuning the model
Baby steps
 
Let's load a reduced version of the well-known Ames House Price data set (containing six of the more important categorical features and six of the more important numerical features). As "iris" the dataset is so common that you can load it directly with @load_ames and the reduced version via @load_reduced_ames 
using MLJ, PrettyPrinting, DataFrames, Statistics
+         AMES    
   
 
 
AMES
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Baby steps
  2. Dummy model
  3. KNN-Ridge blend
    1. Using the expanded syntax
    2. Using the "arrow" syntax
    3. Tuning the model
Baby steps
 
Let's load a reduced version of the well-known Ames House Price data set (containing six of the more important categorical features and six of the more important numerical features). As "iris" the dataset is so common that you can load it directly with @load_ames and the reduced version via @load_reduced_ames 
using MLJ, PrettyPrinting, DataFrames, Statistics
 
 X, y = @load_reduced_ames
 X = DataFrame(X)
diff --git a/__site/end-to-end/crabs-xgb/index.html b/__site/end-to-end/crabs-xgb/index.html
index 1783c22a..c176b786 100644
--- a/__site/end-to-end/crabs-xgb/index.html
+++ b/__site/end-to-end/crabs-xgb/index.html
@@ -1,4 +1,4 @@
-         Crabs with XGBoost    
   
 
 
Crabs with XGBoost
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. First steps
  2. XGBoost machine
    1. More tuning (1)
    2. More tuning (2)
    3. More tuning (3)
This example is inspired from this post showing how to use XGBoost.
 
First steps
 
Again, the crabs dataset is so common that there is a simple load function for it:
 
using MLJ, StatsBase, Random, PyPlot, CategoricalArrays
+         Crabs with XGBoost    
   
 
 
Crabs with XGBoost
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. First steps
  2. XGBoost machine
    1. More tuning (1)
    2. More tuning (2)
    3. More tuning (3)
This example is inspired from this post showing how to use XGBoost.
 
First steps
 
Again, the crabs dataset is so common that there is a simple load function for it:
 
using MLJ, StatsBase, Random, PyPlot, CategoricalArrays
 using PrettyPrinting, DataFrames, LossFunctions
 X, y = @load_crabs
 X = DataFrame(X)
diff --git a/__site/end-to-end/horse/index.html b/__site/end-to-end/horse/index.html
index 4889af31..e553a18c 100644
--- a/__site/end-to-end/horse/index.html
+++ b/__site/end-to-end/horse/index.html
@@ -1,4 +1,4 @@
-         Horse colic data    
   
 
 
Horse colic data
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Initial data processing
    1. Getting the data
    2. Inspecting columns
    3. Dealing with missing values
  2. A baseline model
  3. Trying another model
Initial data processing
 
In this example, we consider the UCI "horse colic" dataset
 
This is a reasonably messy classification problem with missing values etc and so some work should be expected in the feature processing.
 
Getting the data
 
The data is pre-split in training and testing and we will keep it as such
 
using MLJ, StatsBase
+         Horse colic data    
   
 
 
Horse colic data
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Initial data processing
    1. Getting the data
    2. Inspecting columns
    3. Dealing with missing values
  2. A baseline model
  3. Trying another model
Initial data processing
 
In this example, we consider the UCI "horse colic" dataset
 
This is a reasonably messy classification problem with missing values etc and so some work should be expected in the feature processing.
 
Getting the data
 
The data is pre-split in training and testing and we will keep it as such
 
using MLJ, StatsBase
 using HTTP, CSV, DataFrames
 req1 = HTTP.get("https://archive.ics.uci.edu/ml/machine-learning-databases/horse-colic/horse-colic.data")
 req2 = HTTP.get("https://archive.ics.uci.edu/ml/machine-learning-databases/horse-colic/horse-colic.test")
diff --git a/__site/end-to-end/wine/index.html b/__site/end-to-end/wine/index.html
index 19738c6b..406d2e35 100644
--- a/__site/end-to-end/wine/index.html
+++ b/__site/end-to-end/wine/index.html
@@ -1,4 +1,4 @@
-         Wine    
   
 
 
Wine
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Initial data processing
    1. Getting the data
    2. Setting the scientific type
  2. Getting a baseline
  3. Visualising the classes
Initial data processing
 
In this example, we consider the UCI "wine" dataset
 
 
These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.
 
 
Getting the data
 Let's download the data thanks to the HTTP.jl package and load it into a DataFrame via the CSV.jl package:
 
using HTTP, CSV, MLJ, StatsBase, PyPlot
+         Wine    
   
 
 
Wine
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Initial data processing
    1. Getting the data
    2. Setting the scientific type
  2. Getting a baseline
  3. Visualising the classes
Initial data processing
 
In this example, we consider the UCI "wine" dataset
 
 
These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.
 
 
Getting the data
 Let's download the data thanks to the HTTP.jl package and load it into a DataFrame via the CSV.jl package:
 
using HTTP, CSV, MLJ, StatsBase, PyPlot
 req = HTTP.get("https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data")
 data = CSV.read(req.body,
                 header=["Class", "Alcool", "Malic acid",
diff --git a/__site/generated/notebooks/A-ensembles-3.ipynb b/__site/generated/notebooks/A-ensembles-3.ipynb
new file mode 100644
index 00000000..3d7cc805
--- /dev/null
+++ b/__site/generated/notebooks/A-ensembles-3.ipynb
@@ -0,0 +1,258 @@
+{
+ "cells": [
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Before running this, please make sure to activate and instantiate the environment\n",
+    "corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)\n",
+    "so that you get an environment which matches the one used to generate the tutorials:\n",
+    "\n",
+    "```julia\n",
+    "cd(\"MLJTutorials\") # cd to folder with the *.toml\n",
+    "using Pkg; Pkg.activate(\".\"); Pkg.instantiate()\n",
+    "```"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "# Simple example of a homogeneous ensemble using learning networks"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "In this simple example, no bagging is used, so every atomic model\n",
+    "gets the same learned parameters, unless the atomic model training\n",
+    "algorithm has randomness, eg, DecisionTree with random subsampling\n",
+    "of features at nodes."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Note that MLJ has a built in model wrapper called `EnsembleModel`\n",
+    "for creating bagged ensembles with a few lines of code."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Definition of composite model type"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "using MLJ, PyPlot\n",
+    "import Statistics"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "learning network (composite model spec):"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "Xs = source()\n",
+    "ys = source(kind=:target)\n",
+    "\n",
+    "atom = @load DecisionTreeRegressor\n",
+    "atom.n_subfeatures = 4 # to ensure diversity among trained atomic models\n",
+    "\n",
+    "machines = (machine(atom, Xs, ys) for i in 1:100)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "overload `mean` for nodes:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "Statistics.mean(v...) = mean(v)\n",
+    "Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...)\n",
+    "\n",
+    "yhat = mean([predict(m, Xs) for  m in machines]);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "new composite model type and instance:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Application to data"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X, y = @load_boston;"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "tune regularization parameter for a *single* tree:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "r = range(atom,\n",
+    "          :min_samples_split,\n",
+    "          lower=2,\n",
+    "          upper=100, scale=:log)\n",
+    "\n",
+    "mach = machine(atom, X, y)\n",
+    "\n",
+    "curve = learning_curve!(mach,\n",
+    "                        range=r,\n",
+    "                        measure=mav,\n",
+    "                        resampling=CV(nfolds=9),\n",
+    "                        verbosity=0)\n",
+    "\n",
+    "plot(curve.parameter_values, curve.measurements)\n",
+    "xlabel(curve.parameter_name)\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"e1.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{e1.svg}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "tune regularization parameter for all trees in ensemble simultaneously:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "r = range(one_hundred_models,\n",
+    "          :(atom.min_samples_split),\n",
+    "          lower=2,\n",
+    "          upper=100, scale=:log)\n",
+    "\n",
+    "mach = machine(one_hundred_models, X, y)\n",
+    "\n",
+    "curve = learning_curve!(mach,\n",
+    "                        range=r,\n",
+    "                        measure=mav,\n",
+    "                        resampling=CV(nfolds=9),\n",
+    "                        verbosity=0)\n",
+    "\n",
+    "plot(curve.parameter_values, curve.measurements)\n",
+    "xlabel(curve.parameter_name)\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"e2.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{e2}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "PyPlot.close_figs() # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "---\n",
+    "\n",
+    "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*"
+   ],
+   "metadata": {}
+  }
+ ],
+ "nbformat_minor": 3,
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.5.0-DEV.145"
+  },
+  "kernelspec": {
+   "name": "julia-1.5",
+   "display_name": "Julia 1.5.0-DEV.145",
+   "language": "julia"
+  }
+ },
+ "nbformat": 4
+}
diff --git a/__site/generated/notebooks/A-stacking.ipynb b/__site/generated/notebooks/A-stacking.ipynb
new file mode 100644
index 00000000..5bc9687d
--- /dev/null
+++ b/__site/generated/notebooks/A-stacking.ipynb
@@ -0,0 +1,1082 @@
+{
+ "cells": [
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Before running this, please make sure to activate and instantiate the environment\n",
+    "corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)\n",
+    "so that you get an environment which matches the one used to generate the tutorials:\n",
+    "\n",
+    "```julia\n",
+    "cd(\"MLJTutorials\") # cd to folder with the *.toml\n",
+    "using Pkg; Pkg.activate(\".\"); Pkg.instantiate()\n",
+    "```"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "In stacking one blends the predictions of different regressors or\n",
+    "classifiers to gain, in some cases, better performance than naive\n",
+    "averaging or majority vote."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Here we illustrate how to build a two-model stack as an MLJ learning\n",
+    "network, which we export as a new stand-alone composite model\n",
+    "type `MyTwoStack`. This will make the stack that we build completely\n",
+    "re-usable (new data, new models) and means we can apply\n",
+    "meta-algorithms, such as performance evaluation and tuning, to the\n",
+    "stack, exaclty as we would for any other model."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Our main purpose here is to demonstrate the flexibility of MLJ's\n",
+    "composite model interface. Eventually, MLJ will provide built-in\n",
+    "composite types or macros to achieve the same results in a few\n",
+    "lines, which will suffice for routine stacking tasks."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "After defining the `MyTwoStack` model type, we instantiate it for an\n",
+    "application to the Ames House Price data set."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Basic stacking using out-of-sample base learner predictions"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "A rather general stacking protocol was first described in a [1992\n",
+    "paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608005800231)\n",
+    "by David Wolpert. For a generic introduction to the basic two-layer\n",
+    "stack described here, see [this blog\n",
+    "post](https://burakhimmetoglu.com/2016/12/01/stacking-models-for-improved-predictions/)\n",
+    "of Burak Himmetoglu."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "A basic stack consists of a number of base learners (two, in this\n",
+    "illustration) and a single adjudicating model."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "When a stacked model is called to make a prediction, the individual\n",
+    "predictions of the base learners are made the columns of an *input*\n",
+    "table for the adjudicating model, which then outputs the final\n",
+    "prediction. However, it is crucial to understand that the flow of\n",
+    "data *during training* is not the same."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "The base model predictions used to train the adjudicating model are\n",
+    "*not* the predictions of the base learners fitted to all the\n",
+    "training data. Rather, to prevent the adjudicator giving too much\n",
+    "weight to the base learners with low *training* error, the input\n",
+    "data is first split into a number of folds (as in cross-validation),\n",
+    "a base learner is trained on each fold complement individually, and\n",
+    "corresponding predictions on the folds are spliced together to form\n",
+    "a full-length prediction called the *out-of-sample.prediction*."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "For illustrative purposes we use just three folds. Each base learner\n",
+    "will get three separate machines, for training on each fold\n",
+    "complement, and a fourth machine, trained on all the supplied data,\n",
+    "for use in the prediction flow."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "We build the learning network with dummy data at the source nodes,\n",
+    "so the reader inspect the workings of the network as it is built (by\n",
+    "calling `fit!` on nodes, and by calling the nodes themselves). As\n",
+    "usual, this data is not seen by the exported composite model type,\n",
+    "and the component models we choose are just default values for the\n",
+    "hyperparameters of the composite model."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "using MLJ, PyPlot\n",
+    "MLJ.color_off() # hide\n",
+    "import Random.seed!\n",
+    "seed!(1234)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Some models we will use:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "linear = @load LinearRegressor pkg=MLJLinearModels\n",
+    "ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01\n",
+    "knn = @load KNNRegressor; knn.K = 4\n",
+    "tree = @load DecisionTreeRegressor; min_samples_leaf=1\n",
+    "forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500\n",
+    "svm = @load SVMRegressor;"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "### Warm-up exercise: Define a model type to average predictions"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Let's define a composite model type `MyAverageTwo` that\n",
+    "averages the predictions of two deterministic regressors. Here's the learning network:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X = source()\n",
+    "y = source(kind=:target)\n",
+    "\n",
+    "model1 = linear\n",
+    "model2 = knn\n",
+    "\n",
+    "m1 = machine(model1, X, y)\n",
+    "y1 = predict(m1, X)\n",
+    "\n",
+    "m2 = machine(model2, X, y)\n",
+    "y2 = predict(m2, X)\n",
+    "\n",
+    "yhat = 0.5*y1 + 0.5*y2"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "And the macro call to define `MyAverageTwo` and an instance `average_two`:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "avg = @from_network MyAverageTwo(regressor1=model1,\n",
+    "                                 regressor2=model2) <= yhat"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Evaluating this average model on the Boston data set, and comparing\n",
+    "with the base model predictions:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "function print_performance(model, data...)\n",
+    "    e = evaluate(model, data...;\n",
+    "                 resampling=CV(rng=1234, nfolds=8),\n",
+    "                 measure=rms,\n",
+    "                 verbosity=0)\n",
+    "    μ = round(e.measurement[1], sigdigits=5)\n",
+    "    ste = round(std(e.per_fold[1])/sqrt(8), digits=5)\n",
+    "    println(\"\\n $model = $μ ± $(2*ste)\")\n",
+    "end;\n",
+    "\n",
+    "X, y = @load_boston\n",
+    "\n",
+    "print_performance(linear, X, y)\n",
+    "print_performance(knn, X, y)\n",
+    "print_performance(avg, X, y)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Stacking proper\n",
+    "### Helper functions:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "To generate folds for generating out-of-sample predictions, we define"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "folds(data, nfolds) =\n",
+    "    partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "For example, we have:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "f = folds(1:10, 3)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "In our learning network, the folds will depend on the input data,\n",
+    "which will be wrapped as a source node. We therefore need to\n",
+    "overload the `folds` function for nodes:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "It will also be convenient to use the MLJ method `restrict(X, f, i)`\n",
+    "that restricts data `X` to the `i`th element (fold) of `f`, and\n",
+    "`corestrict(X, f, i)` that restricts to the corresponding fold\n",
+    "complement (the concatenation of all but the `i`th\n",
+    "fold)."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "For example, we have:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "corestrict(string.(1:10), f, 2)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Overloading these functions for nodes:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "MLJ.restrict(X::AbstractNode, f::AbstractNode, i) =\n",
+    "    node((XX, ff) -> restrict(XX, ff, i), X, f);\n",
+    "MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) =\n",
+    "    node((XX, ff) -> corestrict(XX, ff, i), X, f);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "All the other data manipulations we will need (`vcat`, `hcat`,\n",
+    "`MLJ.table`) are already overloaded to work with nodes."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "### Choose some test data (optional) and some component models (defaults for the composite model):"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "figure(figsize=(8,6))\n",
+    "steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1)\n",
+    "x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4]\n",
+    "Xraw = (x = x, )\n",
+    "yraw = steps.(x);\n",
+    "idxsort = sortperm(x)\n",
+    "xsort = x[idxsort]\n",
+    "ysort = yraw[idxsort]\n",
+    "step(xsort, ysort, label=\"truth\", where=\"mid\")\n",
+    "plot(x, yraw, ls=\"none\", marker=\"o\", label=\"data\")\n",
+    "xlim(-4.5, 4.5)\n",
+    "legend()\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"s1.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{s1.svg}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Some models to stack:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "model1 = linear\n",
+    "model2 = knn"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "The adjudicating model:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "judge = linear"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "### Define the training nodes"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Let's instantiate some input and target source nodes for the\n",
+    "learning network, wrapping the play data defined above:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Wrapped as source node:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X = source(Xraw)\n",
+    "y = source(yraw; kind=:target)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Our first internal node represents the three folds (vectors of row\n",
+    "indices) for creating the out-of-sample predictions:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "f = folds(X, 3)\n",
+    "f()"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Constructing machines for training `model1` on each fold-complement:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1))\n",
+    "m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2))\n",
+    "m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3))"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Define each out-of-sample prediction of `model1`:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "y11 = predict(m11, restrict(X, f, 1));\n",
+    "y12 = predict(m12, restrict(X, f, 2));\n",
+    "y13 = predict(m13, restrict(X, f, 3));"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Splice together the out-of-sample predictions for model1:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "y1_oos = vcat(y11, y12, y13);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Optionally, to check our network so far, we can fit and plot\n",
+    "`y1_oos`:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "fit!(y1_oos, verbosity=0)\n",
+    "\n",
+    "figure(figsize=(8,6))\n",
+    "step(xsort, ysort, label=\"truth\", where=\"mid\")\n",
+    "plot(x, y1_oos(), ls=\"none\", marker=\"o\", label=\"linear oos\")\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"s2.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{s2.svg}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "We now repeat the procedure for the other model:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1))\n",
+    "m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2))\n",
+    "m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3))\n",
+    "y21 = predict(m21, restrict(X, f, 1));\n",
+    "y22 = predict(m22, restrict(X, f, 2));\n",
+    "y23 = predict(m23, restrict(X, f, 3));"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "And testing the knn out-of-sample prediction:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "y2_oos = vcat(y21, y22, y23);\n",
+    "fit!(y2_oos, verbosity=0)\n",
+    "\n",
+    "figure(figsize=(8,6))\n",
+    "step(xsort, ysort, label=\"truth\", where=\"mid\")\n",
+    "plot(x, y2_oos(), ls=\"none\", marker=\"o\", label=\"knn oos\")\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"s3.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{s3.svg}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Now that we have the out-of-sample base learner predictions, we are\n",
+    "ready to merge them into the adjudicator's input table and construct\n",
+    "the machine for training the adjudicator:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X_oos = MLJ.table(hcat(y1_oos, y2_oos))\n",
+    "m_judge = machine(judge, X_oos, y)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Are we done with constructing machines? Well, not quite. Recall that\n",
+    "when use the stack to make predictions on new data, we will be\n",
+    "feeding the adjudicator ordinary predictions on the base\n",
+    "learners. But so far, we have only defined machines to train the\n",
+    "base learners on fold complements, not on the full data, which we do\n",
+    "now:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "m1 = machine(model1, X, y)\n",
+    "m2 = machine(model2, X, y)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "### Define nodes still needed for prediction"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "To obtain the final prediction, `yhat`, we get the base learner\n",
+    "predictions, based on training with all data, and feed them to the\n",
+    "adjudicator:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "y1 = predict(m1, X);\n",
+    "y2 = predict(m2, X);\n",
+    "X_judge = MLJ.table(hcat(y1, y2))\n",
+    "yhat = predict(m_judge, X_judge)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Let's check the final prediction node can be fit and called:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "fit!(yhat, verbosity=0)\n",
+    "\n",
+    "figure(figsize=(8,6))\n",
+    "step(xsort, ysort, label=\"truth\", where=\"mid\")\n",
+    "plot(x, yhat(), ls=\"none\", marker=\"o\", label=\"yhat\")\n",
+    "\n",
+    "savefig(joinpath(@OUTPUT, \"s4.svg\")) # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "\\fig{s4}"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Although of little statistical significance here, we note that\n",
+    "stacking gives a lower *training* error than naive averaging:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "e1 = rms(y1(), y())\n",
+    "e2 = rms(y2(), y())\n",
+    "emean = rms(0.5*y1() + 0.5*y2(), y())\n",
+    "estack = rms(yhat(), y())\n",
+    "@show e1 e2 emean estack;"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Export the learning network as a new model type"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "The learning network (less the data wrapped in the source nodes)\n",
+    "amounts to a specification of a new composite model type for\n",
+    "two-model stacks, trained with three-fold resampling of base model\n",
+    "predictions. Let's create the new type `MyTwoModelStack`:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "@from_network MyTwoModelStack(regressor1=model1,\n",
+    "                              regressor2=model2,\n",
+    "                              judge=judge) <= yhat"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "And this completes the definition of our re-usable stacking model type."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "## Applying `MyTwoModelStack` to Ames House Price data"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Without undertaking any hyperparameter optimization, we evaluate the\n",
+    "performance of a random forest and ridge regressor on the well-known\n",
+    "Ames House Prices data, and compare the performance with a stack\n",
+    "(and simple averaging) using the random forest and ridge regressors\n",
+    "as base learners. We then indicate some options for tuning the\n",
+    "stack."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "#### Data pre-processing"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Here we use a 12-feature reduced subset of the Ames House Price data\n",
+    "set:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X0, y0 = @load_reduced_ames;"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Inspect scitypes:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "s = schema(X0)\n",
+    "(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Coerce counts and ordered factors to continuous:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "X1 = coerce(X0, :OverallQual => Continuous,\n",
+    "            :GarageCars => Continuous,\n",
+    "            :YearRemodAdd => Continuous,\n",
+    "            :YearBuilt => Continuous);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "One-hot encode the multiclass:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0)\n",
+    "X = transform(hot_mach, X1);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Check the final scitype:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "scitype(X)"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "transform the target:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "y1 = log.(y0)\n",
+    "y = transform(fit!(machine(UnivariateStandardizer(), y1),\n",
+    "                   verbosity=0), y1);"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "#### Define the stack and compare performance:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "avg = MyAverageTwo(regressor1=forest,\n",
+    "                   regressor2=ridge)\n",
+    "\n",
+    "\n",
+    "stack = MyTwoModelStack(regressor1=forest,\n",
+    "                        regressor2=ridge,\n",
+    "                        judge=linear)\n",
+    "\n",
+    "all_models = [forest, ridge, avg, stack];\n",
+    "\n",
+    "for model in all_models\n",
+    "    print_performance(model, X, y)\n",
+    "end;"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "#### Tuning a stack"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "A standard abuse of good data hygiene practice is to optimize stack\n",
+    "component models *separately* and then tune the adjudicating model\n",
+    "hyperparameters (using the same resampling of the data) with the\n",
+    "base learners fixed. Although more computationally expensive, better\n",
+    "generalization might be expected by applying tuning to the stack as\n",
+    "a whole, either simultaneously, or in in cheaper sequential\n",
+    "steps. Since our stack is a stand-alone model, this is readily\n",
+    "implemented."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "As a proof of concept, let's see how to tune one of the base model\n",
+    "hyperparameters, based on performance of the stack as a whole:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log)\n",
+    "tuned_stack = TunedModel(model=stack,\n",
+    "                         ranges=r,\n",
+    "                         tuning=Grid(),\n",
+    "                         measure=rms,\n",
+    "                         resampling=Holdout())\n",
+    "\n",
+    "mach = fit!(machine(tuned_stack,  X, y), verbosity=0)\n",
+    "best_stack = fitted_params(mach).best_model\n",
+    "best_stack.regressor2.lambda"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "Let's evaluate the best stack using the same data resampling used to\n",
+    "the evaluate the assorted untuned models earlier (now we are neglecting\n",
+    "data hygeine!):"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "print_performance(best_stack, X, y)\n",
+    "\n",
+    "PyPlot.close_figs() # hide"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "outputs": [],
+   "cell_type": "markdown",
+   "source": [
+    "---\n",
+    "\n",
+    "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*"
+   ],
+   "metadata": {}
+  }
+ ],
+ "nbformat_minor": 3,
+ "metadata": {
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.5.0-DEV.145"
+  },
+  "kernelspec": {
+   "name": "julia-1.5",
+   "display_name": "Julia 1.5.0-DEV.145",
+   "language": "julia"
+  }
+ },
+ "nbformat": 4
+}
diff --git a/__site/generated/scripts/A-ensembles-3-raw.jl b/__site/generated/scripts/A-ensembles-3-raw.jl
new file mode 100644
index 00000000..b32b7acc
--- /dev/null
+++ b/__site/generated/scripts/A-ensembles-3-raw.jl
@@ -0,0 +1,69 @@
+# Before running this, please make sure to activate and instantiate the environment
+# corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)
+# so that you get an environment which matches the one used to generate the tutorials:
+#
+# ```julia
+# cd("MLJTutorials") # cd to folder with the *.toml
+# using Pkg; Pkg.activate("."); Pkg.instantiate()
+# ```
+
+using MLJ, PyPlot
+import Statistics
+
+Xs = source()
+ys = source(kind=:target)
+
+atom = @load DecisionTreeRegressor
+atom.n_subfeatures = 4 # to ensure diversity among trained atomic models
+
+machines = (machine(atom, Xs, ys) for i in 1:100)
+
+Statistics.mean(v...) = mean(v)
+Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...)
+
+yhat = mean([predict(m, Xs) for  m in machines]);
+
+one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat
+
+X, y = @load_boston;
+
+r = range(atom,
+          :min_samples_split,
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(atom, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+
+
+r = range(one_hundred_models,
+          :(atom.min_samples_split),
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(one_hundred_models, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+
+
+
+
+# This file was generated using Literate.jl, https://github.com/fredrikekre/Literate.jl
+
diff --git a/__site/generated/scripts/A-ensembles-3.jl b/__site/generated/scripts/A-ensembles-3.jl
new file mode 100644
index 00000000..cd5abe43
--- /dev/null
+++ b/__site/generated/scripts/A-ensembles-3.jl
@@ -0,0 +1,81 @@
+# Before running this, please make sure to activate and instantiate the environment
+# corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)
+# so that you get an environment which matches the one used to generate the tutorials:
+#
+# ```julia
+# cd("MLJTutorials") # cd to folder with the *.toml
+# using Pkg; Pkg.activate("."); Pkg.instantiate()
+# ```
+
+# # Simple example of a homogeneous ensemble using learning networks
+# In this simple example, no bagging is used, so every atomic model# gets the same learned parameters, unless the atomic model training# algorithm has randomness, eg, DecisionTree with random subsampling# of features at nodes.
+# Note that MLJ has a built in model wrapper called `EnsembleModel`# for creating bagged ensembles with a few lines of code.
+# ## Definition of composite model type
+using MLJ, PyPlot
+import Statistics
+
+# learning network (composite model spec):
+Xs = source()
+ys = source(kind=:target)
+
+atom = @load DecisionTreeRegressor
+atom.n_subfeatures = 4 # to ensure diversity among trained atomic models
+
+machines = (machine(atom, Xs, ys) for i in 1:100)
+
+# overload `mean` for nodes:
+Statistics.mean(v...) = mean(v)
+Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...)
+
+yhat = mean([predict(m, Xs) for  m in machines]);
+
+# new composite model type and instance:
+one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat
+
+# ## Application to data
+X, y = @load_boston;
+
+# tune regularization parameter for a *single* tree:
+r = range(atom,
+          :min_samples_split,
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(atom, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+
+
+# \fig{e1.svg}
+# tune regularization parameter for all trees in ensemble simultaneously:
+r = range(one_hundred_models,
+          :(atom.min_samples_split),
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(one_hundred_models, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+
+
+# \fig{e2}
+
+
+# This file was generated using Literate.jl, https://github.com/fredrikekre/Literate.jl
+
diff --git a/__site/generated/scripts/A-stacking-raw.jl b/__site/generated/scripts/A-stacking-raw.jl
new file mode 100644
index 00000000..1727c752
--- /dev/null
+++ b/__site/generated/scripts/A-stacking-raw.jl
@@ -0,0 +1,207 @@
+# Before running this, please make sure to activate and instantiate the environment
+# corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)
+# so that you get an environment which matches the one used to generate the tutorials:
+#
+# ```julia
+# cd("MLJTutorials") # cd to folder with the *.toml
+# using Pkg; Pkg.activate("."); Pkg.instantiate()
+# ```
+
+using MLJ, PyPlot
+
+import Random.seed!
+seed!(1234)
+
+linear = @load LinearRegressor pkg=MLJLinearModels
+ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01
+knn = @load KNNRegressor; knn.K = 4
+tree = @load DecisionTreeRegressor; min_samples_leaf=1
+forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500
+svm = @load SVMRegressor;
+
+X = source()
+y = source(kind=:target)
+
+model1 = linear
+model2 = knn
+
+m1 = machine(model1, X, y)
+y1 = predict(m1, X)
+
+m2 = machine(model2, X, y)
+y2 = predict(m2, X)
+
+yhat = 0.5*y1 + 0.5*y2
+
+avg = @from_network MyAverageTwo(regressor1=model1,
+                                 regressor2=model2) <= yhat
+
+function print_performance(model, data...)
+    e = evaluate(model, data...;
+                 resampling=CV(rng=1234, nfolds=8),
+                 measure=rms,
+                 verbosity=0)
+    μ = round(e.measurement[1], sigdigits=5)
+    ste = round(std(e.per_fold[1])/sqrt(8), digits=5)
+    println("\n $model = $μ ± $(2*ste)")
+end;
+
+X, y = @load_boston
+
+print_performance(linear, X, y)
+print_performance(knn, X, y)
+print_performance(avg, X, y)
+
+folds(data, nfolds) =
+    partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...);
+
+f = folds(1:10, 3)
+
+folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X);
+
+corestrict(string.(1:10), f, 2)
+
+MLJ.restrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> restrict(XX, ff, i), X, f);
+MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> corestrict(XX, ff, i), X, f);
+
+figure(figsize=(8,6))
+steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1)
+x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4]
+Xraw = (x = x, )
+yraw = steps.(x);
+idxsort = sortperm(x)
+xsort = x[idxsort]
+ysort = yraw[idxsort]
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yraw, ls="none", marker="o", label="data")
+xlim(-4.5, 4.5)
+legend()
+
+
+
+model1 = linear
+model2 = knn
+
+judge = linear
+
+X = source(Xraw)
+y = source(yraw; kind=:target)
+
+f = folds(X, 3)
+f()
+
+m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1))
+m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2))
+m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3))
+
+y11 = predict(m11, restrict(X, f, 1));
+y12 = predict(m12, restrict(X, f, 2));
+y13 = predict(m13, restrict(X, f, 3));
+
+y1_oos = vcat(y11, y12, y13);
+
+fit!(y1_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y1_oos(), ls="none", marker="o", label="linear oos")
+
+
+
+m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1))
+m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2))
+m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3))
+y21 = predict(m21, restrict(X, f, 1));
+y22 = predict(m22, restrict(X, f, 2));
+y23 = predict(m23, restrict(X, f, 3));
+
+y2_oos = vcat(y21, y22, y23);
+fit!(y2_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y2_oos(), ls="none", marker="o", label="knn oos")
+
+
+
+X_oos = MLJ.table(hcat(y1_oos, y2_oos))
+m_judge = machine(judge, X_oos, y)
+
+m1 = machine(model1, X, y)
+m2 = machine(model2, X, y)
+
+y1 = predict(m1, X);
+y2 = predict(m2, X);
+X_judge = MLJ.table(hcat(y1, y2))
+yhat = predict(m_judge, X_judge)
+
+fit!(yhat, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yhat(), ls="none", marker="o", label="yhat")
+
+
+
+e1 = rms(y1(), y())
+e2 = rms(y2(), y())
+emean = rms(0.5*y1() + 0.5*y2(), y())
+estack = rms(yhat(), y())
+@show e1 e2 emean estack;
+
+@from_network MyTwoModelStack(regressor1=model1,
+                              regressor2=model2,
+                              judge=judge) <= yhat
+
+X0, y0 = @load_reduced_ames;
+
+s = schema(X0)
+(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty
+
+X1 = coerce(X0, :OverallQual => Continuous,
+            :GarageCars => Continuous,
+            :YearRemodAdd => Continuous,
+            :YearBuilt => Continuous);
+
+hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0)
+X = transform(hot_mach, X1);
+
+scitype(X)
+
+y1 = log.(y0)
+y = transform(fit!(machine(UnivariateStandardizer(), y1),
+                   verbosity=0), y1);
+
+avg = MyAverageTwo(regressor1=forest,
+                   regressor2=ridge)
+
+
+stack = MyTwoModelStack(regressor1=forest,
+                        regressor2=ridge,
+                        judge=linear)
+
+all_models = [forest, ridge, avg, stack];
+
+for model in all_models
+    print_performance(model, X, y)
+end;
+
+r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log)
+tuned_stack = TunedModel(model=stack,
+                         ranges=r,
+                         tuning=Grid(),
+                         measure=rms,
+                         resampling=Holdout())
+
+mach = fit!(machine(tuned_stack,  X, y), verbosity=0)
+best_stack = fitted_params(mach).best_model
+best_stack.regressor2.lambda
+
+print_performance(best_stack, X, y)
+
+
+
+# This file was generated using Literate.jl, https://github.com/fredrikekre/Literate.jl
+
diff --git a/__site/generated/scripts/A-stacking.jl b/__site/generated/scripts/A-stacking.jl
new file mode 100644
index 00000000..ecd7d434
--- /dev/null
+++ b/__site/generated/scripts/A-stacking.jl
@@ -0,0 +1,271 @@
+# Before running this, please make sure to activate and instantiate the environment
+# corresponding to [this `Project.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Project.toml) and [this `Manifest.toml`](https://raw.githubusercontent.com/alan-turing-institute/MLJTutorials/master/Manifest.toml)
+# so that you get an environment which matches the one used to generate the tutorials:
+#
+# ```julia
+# cd("MLJTutorials") # cd to folder with the *.toml
+# using Pkg; Pkg.activate("."); Pkg.instantiate()
+# ```
+
+# In stacking one blends the predictions of different regressors or# classifiers to gain, in some cases, better performance than naive# averaging or majority vote.
+# Here we illustrate how to build a two-model stack as an MLJ learning# network, which we export as a new stand-alone composite model# type `MyTwoStack`. This will make the stack that we build completely# re-usable (new data, new models) and means we can apply# meta-algorithms, such as performance evaluation and tuning, to the# stack, exaclty as we would for any other model.
+# Our main purpose here is to demonstrate the flexibility of MLJ's# composite model interface. Eventually, MLJ will provide built-in# composite types or macros to achieve the same results in a few# lines, which will suffice for routine stacking tasks.
+# After defining the `MyTwoStack` model type, we instantiate it for an# application to the Ames House Price data set.
+# ## Basic stacking using out-of-sample base learner predictions
+# A rather general stacking protocol was first described in a [1992# paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608005800231)# by David Wolpert. For a generic introduction to the basic two-layer# stack described here, see [this blog# post](https://burakhimmetoglu.com/2016/12/01/stacking-models-for-improved-predictions/)# of Burak Himmetoglu.
+# A basic stack consists of a number of base learners (two, in this# illustration) and a single adjudicating model.
+# When a stacked model is called to make a prediction, the individual# predictions of the base learners are made the columns of an *input*# table for the adjudicating model, which then outputs the final# prediction. However, it is crucial to understand that the flow of# data *during training* is not the same.
+# The base model predictions used to train the adjudicating model are# *not* the predictions of the base learners fitted to all the# training data. Rather, to prevent the adjudicator giving too much# weight to the base learners with low *training* error, the input# data is first split into a number of folds (as in cross-validation),# a base learner is trained on each fold complement individually, and# corresponding predictions on the folds are spliced together to form# a full-length prediction called the *out-of-sample.prediction*.
+# For illustrative purposes we use just three folds. Each base learner# will get three separate machines, for training on each fold# complement, and a fourth machine, trained on all the supplied data,# for use in the prediction flow.
+# We build the learning network with dummy data at the source nodes,# so the reader inspect the workings of the network as it is built (by# calling `fit!` on nodes, and by calling the nodes themselves). As# usual, this data is not seen by the exported composite model type,# and the component models we choose are just default values for the# hyperparameters of the composite model.
+using MLJ, PyPlot
+
+import Random.seed!
+seed!(1234)
+
+# Some models we will use:
+linear = @load LinearRegressor pkg=MLJLinearModels
+ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01
+knn = @load KNNRegressor; knn.K = 4
+tree = @load DecisionTreeRegressor; min_samples_leaf=1
+forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500
+svm = @load SVMRegressor;
+
+# ### Warm-up exercise: Define a model type to average predictions
+# Let's define a composite model type `MyAverageTwo` that# averages the predictions of two deterministic regressors. Here's the learning network:
+X = source()
+y = source(kind=:target)
+
+model1 = linear
+model2 = knn
+
+m1 = machine(model1, X, y)
+y1 = predict(m1, X)
+
+m2 = machine(model2, X, y)
+y2 = predict(m2, X)
+
+yhat = 0.5*y1 + 0.5*y2
+
+# And the macro call to define `MyAverageTwo` and an instance `average_two`:
+avg = @from_network MyAverageTwo(regressor1=model1,
+                                 regressor2=model2) <= yhat
+
+# Evaluating this average model on the Boston data set, and comparing# with the base model predictions:
+function print_performance(model, data...)
+    e = evaluate(model, data...;
+                 resampling=CV(rng=1234, nfolds=8),
+                 measure=rms,
+                 verbosity=0)
+    μ = round(e.measurement[1], sigdigits=5)
+    ste = round(std(e.per_fold[1])/sqrt(8), digits=5)
+    println("\n $model = $μ ± $(2*ste)")
+end;
+
+X, y = @load_boston
+
+print_performance(linear, X, y)
+print_performance(knn, X, y)
+print_performance(avg, X, y)
+
+# ## Stacking proper# ### Helper functions:
+# To generate folds for generating out-of-sample predictions, we define
+folds(data, nfolds) =
+    partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...);
+
+# For example, we have:
+f = folds(1:10, 3)
+
+# In our learning network, the folds will depend on the input data,# which will be wrapped as a source node. We therefore need to# overload the `folds` function for nodes:
+folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X);
+
+# It will also be convenient to use the MLJ method `restrict(X, f, i)`# that restricts data `X` to the `i`th element (fold) of `f`, and# `corestrict(X, f, i)` that restricts to the corresponding fold# complement (the concatenation of all but the `i`th# fold).
+# For example, we have:
+corestrict(string.(1:10), f, 2)
+
+# Overloading these functions for nodes:
+MLJ.restrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> restrict(XX, ff, i), X, f);
+MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> corestrict(XX, ff, i), X, f);
+
+# All the other data manipulations we will need (`vcat`, `hcat`,# `MLJ.table`) are already overloaded to work with nodes.
+# ### Choose some test data (optional) and some component models (defaults for the composite model):
+figure(figsize=(8,6))
+steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1)
+x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4]
+Xraw = (x = x, )
+yraw = steps.(x);
+idxsort = sortperm(x)
+xsort = x[idxsort]
+ysort = yraw[idxsort]
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yraw, ls="none", marker="o", label="data")
+xlim(-4.5, 4.5)
+legend()
+
+
+
+# \fig{s1.svg}
+# Some models to stack:
+model1 = linear
+model2 = knn
+
+# The adjudicating model:
+judge = linear
+
+# ### Define the training nodes
+# Let's instantiate some input and target source nodes for the# learning network, wrapping the play data defined above:
+# Wrapped as source node:
+X = source(Xraw)
+y = source(yraw; kind=:target)
+
+# Our first internal node represents the three folds (vectors of row# indices) for creating the out-of-sample predictions:
+f = folds(X, 3)
+f()
+
+# Constructing machines for training `model1` on each fold-complement:
+m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1))
+m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2))
+m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3))
+
+# Define each out-of-sample prediction of `model1`:
+y11 = predict(m11, restrict(X, f, 1));
+y12 = predict(m12, restrict(X, f, 2));
+y13 = predict(m13, restrict(X, f, 3));
+
+# Splice together the out-of-sample predictions for model1:
+y1_oos = vcat(y11, y12, y13);
+
+# Optionally, to check our network so far, we can fit and plot# `y1_oos`:
+fit!(y1_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y1_oos(), ls="none", marker="o", label="linear oos")
+
+
+
+# \fig{s2.svg}
+# We now repeat the procedure for the other model:
+m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1))
+m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2))
+m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3))
+y21 = predict(m21, restrict(X, f, 1));
+y22 = predict(m22, restrict(X, f, 2));
+y23 = predict(m23, restrict(X, f, 3));
+
+# And testing the knn out-of-sample prediction:
+y2_oos = vcat(y21, y22, y23);
+fit!(y2_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y2_oos(), ls="none", marker="o", label="knn oos")
+
+
+
+# \fig{s3.svg}
+# Now that we have the out-of-sample base learner predictions, we are# ready to merge them into the adjudicator's input table and construct# the machine for training the adjudicator:
+X_oos = MLJ.table(hcat(y1_oos, y2_oos))
+m_judge = machine(judge, X_oos, y)
+
+# Are we done with constructing machines? Well, not quite. Recall that# when use the stack to make predictions on new data, we will be# feeding the adjudicator ordinary predictions on the base# learners. But so far, we have only defined machines to train the# base learners on fold complements, not on the full data, which we do# now:
+m1 = machine(model1, X, y)
+m2 = machine(model2, X, y)
+
+# ### Define nodes still needed for prediction
+# To obtain the final prediction, `yhat`, we get the base learner# predictions, based on training with all data, and feed them to the# adjudicator:
+y1 = predict(m1, X);
+y2 = predict(m2, X);
+X_judge = MLJ.table(hcat(y1, y2))
+yhat = predict(m_judge, X_judge)
+
+# Let's check the final prediction node can be fit and called:
+fit!(yhat, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yhat(), ls="none", marker="o", label="yhat")
+
+
+
+# \fig{s4}
+# Although of little statistical significance here, we note that# stacking gives a lower *training* error than naive averaging:
+e1 = rms(y1(), y())
+e2 = rms(y2(), y())
+emean = rms(0.5*y1() + 0.5*y2(), y())
+estack = rms(yhat(), y())
+@show e1 e2 emean estack;
+
+# ## Export the learning network as a new model type
+# The learning network (less the data wrapped in the source nodes)# amounts to a specification of a new composite model type for# two-model stacks, trained with three-fold resampling of base model# predictions. Let's create the new type `MyTwoModelStack`:
+@from_network MyTwoModelStack(regressor1=model1,
+                              regressor2=model2,
+                              judge=judge) <= yhat
+
+# And this completes the definition of our re-usable stacking model type.
+# ## Applying `MyTwoModelStack` to Ames House Price data
+# Without undertaking any hyperparameter optimization, we evaluate the# performance of a random forest and ridge regressor on the well-known# Ames House Prices data, and compare the performance with a stack# (and simple averaging) using the random forest and ridge regressors# as base learners. We then indicate some options for tuning the# stack.
+# #### Data pre-processing
+# Here we use a 12-feature reduced subset of the Ames House Price data# set:
+X0, y0 = @load_reduced_ames;
+
+# Inspect scitypes:
+s = schema(X0)
+(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty
+
+# Coerce counts and ordered factors to continuous:
+X1 = coerce(X0, :OverallQual => Continuous,
+            :GarageCars => Continuous,
+            :YearRemodAdd => Continuous,
+            :YearBuilt => Continuous);
+
+# One-hot encode the multiclass:
+hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0)
+X = transform(hot_mach, X1);
+
+# Check the final scitype:
+scitype(X)
+
+# transform the target:
+y1 = log.(y0)
+y = transform(fit!(machine(UnivariateStandardizer(), y1),
+                   verbosity=0), y1);
+
+# #### Define the stack and compare performance:
+avg = MyAverageTwo(regressor1=forest,
+                   regressor2=ridge)
+
+
+stack = MyTwoModelStack(regressor1=forest,
+                        regressor2=ridge,
+                        judge=linear)
+
+all_models = [forest, ridge, avg, stack];
+
+for model in all_models
+    print_performance(model, X, y)
+end;
+
+# #### Tuning a stack
+# A standard abuse of good data hygiene practice is to optimize stack# component models *separately* and then tune the adjudicating model# hyperparameters (using the same resampling of the data) with the# base learners fixed. Although more computationally expensive, better# generalization might be expected by applying tuning to the stack as# a whole, either simultaneously, or in in cheaper sequential# steps. Since our stack is a stand-alone model, this is readily# implemented.
+# As a proof of concept, let's see how to tune one of the base model# hyperparameters, based on performance of the stack as a whole:
+r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log)
+tuned_stack = TunedModel(model=stack,
+                         ranges=r,
+                         tuning=Grid(),
+                         measure=rms,
+                         resampling=Holdout())
+
+mach = fit!(machine(tuned_stack,  X, y), verbosity=0)
+best_stack = fitted_params(mach).best_model
+best_stack.regressor2.lambda
+
+# Let's evaluate the best stack using the same data resampling used to# the evaluate the assorted untuned models earlier (now we are neglecting# data hygeine!):
+print_performance(best_stack, X, y)
+
+
+
+# This file was generated using Literate.jl, https://github.com/fredrikekre/Literate.jl
+
diff --git a/__site/getting-started/choosing-a-model/index.html b/__site/getting-started/choosing-a-model/index.html
index 7a501787..77042f0c 100644
--- a/__site/getting-started/choosing-a-model/index.html
+++ b/__site/getting-started/choosing-a-model/index.html
@@ -1,4 +1,4 @@
-         Choosing and evaluating a model    
   
 
 
Choosing and evaluating a model
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Data and its interpretation
    1. Machine type and scientific type
    2. Unpacking data
  2. Choosing a model
    1. Model search
    2. Loading a model
Data and its interpretation
 
Machine type and scientific type
 
using RDatasets, MLJ
+         Choosing and evaluating a model    
   
 
 
Choosing and evaluating a model
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Data and its interpretation
    1. Machine type and scientific type
    2. Unpacking data
  2. Choosing a model
    1. Model search
    2. Loading a model
Data and its interpretation
 
Machine type and scientific type
 
using RDatasets, MLJ
 iris = dataset("datasets", "iris")
 
 first(iris, 3) |> pretty
┌─────────────┬────────────┬─────────────┬────────────┬────────────────────────────────────────────┐
diff --git a/__site/getting-started/composing-models/index.html b/__site/getting-started/composing-models/index.html
index acc3a512..297ec8a0 100644
--- a/__site/getting-started/composing-models/index.html
+++ b/__site/getting-started/composing-models/index.html
@@ -1,4 +1,4 @@
-         Composing models    
   
 
 
Composing models
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Generating dummy data
  2. Declaring a pipeline
Generating dummy data
 
Let's start by generating some dummy data with both numerical values and categorical values:
 
using MLJ, PrettyPrinting
+         Composing models    
   
 
 
Composing models
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Generating dummy data
  2. Declaring a pipeline
Generating dummy data
 
Let's start by generating some dummy data with both numerical values and categorical values:
 
using MLJ, PrettyPrinting
 @load KNNRegressor
 # input
 X = (age    = [23, 45, 34, 25, 67],
diff --git a/__site/getting-started/ensembles-2/index.html b/__site/getting-started/ensembles-2/index.html
index accbaf9d..c3a7c0dd 100644
--- a/__site/getting-started/ensembles-2/index.html
+++ b/__site/getting-started/ensembles-2/index.html
@@ -1,4 +1,4 @@
-         Ensemble models (2)    
   
 
 
Ensemble models (2)
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Prelims
  2. Random forest
    1. Tuning
    2. Reporting
Prelims
 
This tutorial builds upon the previous ensemble tutorial with a home-made Random Forest regressor on the "boston" dataset.
 
using MLJ, PyPlot, PrettyPrinting, Random,
+         Ensemble models (2)    
   
 
 
Ensemble models (2)
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Prelims
  2. Random forest
    1. Tuning
    2. Reporting
Prelims
 
This tutorial builds upon the previous ensemble tutorial with a home-made Random Forest regressor on the "boston" dataset.
 
using MLJ, PyPlot, PrettyPrinting, Random,
       DataFrames
 X, y = @load_boston
 sch = schema(X)
diff --git a/__site/getting-started/ensembles-3/index.html b/__site/getting-started/ensembles-3/index.html
new file mode 100644
index 00000000..21e072cb
--- /dev/null
+++ b/__site/getting-started/ensembles-3/index.html
@@ -0,0 +1,71 @@
+         Ensemble models - extended tutorial    
   
 
 
Ensemble models - extended tutorial
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Definition of composite model type
  2. Application to data
Simple example of a homogeneous ensemble using learning networks
 
In this simple example, no bagging is used, so every atomic model gets the same learned parameters, unless the atomic model training algorithm has randomness, eg, DecisionTree with random subsampling of features at nodes.
 
Note that MLJ has a built in model wrapper called EnsembleModel for creating bagged ensembles with a few lines of code.
 
Definition of composite model type
 
using MLJ, PyPlot
+import Statistics
 
learning network (composite model spec):
 
Xs = source()
+ys = source(kind=:target)
+
+atom = @load DecisionTreeRegressor
+atom.n_subfeatures = 4 # to ensure diversity among trained atomic models
+
+machines = (machine(atom, Xs, ys) for i in 1:100)
Base.Generator{UnitRange{Int64},Main.FD_SANDBOX_15866893453267974565.var"#1#2"}(Main.FD_SANDBOX_15866893453267974565.var"#1#2"(), 1:100)

+
overload mean for nodes:

+
Statistics.mean(v...) = mean(v)
+Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...)
+
+yhat = mean([predict(m, Xs) for  m in machines]);

+
new composite model type and instance:

+
one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat
OneHundredModels(
+    atom = DecisionTreeRegressor(
+            max_depth = -1,
+            min_samples_leaf = 5,
+            min_samples_split = 2,
+            min_purity_increase = 0.0,
+            n_subfeatures = 4,
+            post_prune = false,
+            merge_purity_threshold = 1.0)) @ 1…12

+
Application to data

+
X, y = @load_boston;

+
tune regularization parameter for a single tree:

+
r = range(atom,
+          :min_samples_split,
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(atom, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)

+
+
tune regularization parameter for all trees in ensemble simultaneously:

+
r = range(one_hundred_models,
+          :(atom.min_samples_split),
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(one_hundred_models, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)

+
+
+

+  

+    © Anthony Blaom, Thibaut Lienart and collaborators. Last modified: February 20, 2020. Website built with Franklin.jl.
+  

+

+
+

+
+      
 
+  
 
+  
\ No newline at end of file
diff --git a/__site/getting-started/ensembles/index.html b/__site/getting-started/ensembles/index.html
index 372ea228..b56df0f6 100644
--- a/__site/getting-started/ensembles/index.html
+++ b/__site/getting-started/ensembles/index.html
@@ -1,4 +1,4 @@
-         Ensemble models    
   
 
 
Ensemble models
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Homogenous ensembles
    1. Training and testing an ensemble
    2. Systematic tuning
    3. Reporting results
Preliminary steps
 
Let's start by loading the relevant packages and generating some dummy data.
 
using MLJ, DataFrames, Statistics, PrettyPrinting
+         Ensemble models    
   
 
 
Ensemble models
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Homogenous ensembles
    1. Training and testing an ensemble
    2. Systematic tuning
    3. Reporting results
Preliminary steps
 
Let's start by loading the relevant packages and generating some dummy data.
 
using MLJ, DataFrames, Statistics, PrettyPrinting
 Xraw = rand(300, 3)
 y = exp.(Xraw[:,1] - Xraw[:,2] - 2Xraw[:,3] + 0.1*rand(300))
 X = DataFrame(Xraw)
diff --git a/__site/getting-started/fit-and-predict/index.html b/__site/getting-started/fit-and-predict/index.html
index 9a466880..a813159c 100644
--- a/__site/getting-started/fit-and-predict/index.html
+++ b/__site/getting-started/fit-and-predict/index.html
@@ -1,4 +1,4 @@
-         Fit, predict, transform    
   
 
 
Fit, predict, transform
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
    1. Data
    2. MLJ Machine
  2. Training and testing a supervised model
    1. Splitting the data
    2. Fitting and testing the machine
  3. Unsupervised models
 
Preliminary steps
 
Data
 
As in "choosing a model", let's load the Iris dataset and unpack it:
 
using MLJ, Statistics, PrettyPrinting
+         Fit, predict, transform    
   
 
 
Fit, predict, transform
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
    1. Data
    2. MLJ Machine
  2. Training and testing a supervised model
    1. Splitting the data
    2. Fitting and testing the machine
  3. Unsupervised models
 
Preliminary steps
 
Data
 
As in "choosing a model", let's load the Iris dataset and unpack it:
 
using MLJ, Statistics, PrettyPrinting
 X, y = @load_iris;
 
let's also load the DecisionTreeClassifier:
 
@load DecisionTreeClassifier
 tree_model = DecisionTreeClassifier()
DecisionTreeClassifier(
     max_depth = -1,
diff --git a/__site/getting-started/learning-networks-2/index.html b/__site/getting-started/learning-networks-2/index.html
index 40e3d542..0770f461 100644
--- a/__site/getting-started/learning-networks-2/index.html
+++ b/__site/getting-started/learning-networks-2/index.html
@@ -1,4 +1,4 @@
-         Learning networks 2    
   
 
 
Learning networks 2
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Using the @from_network macro
  3. Defining a model from scratch
Preliminary steps
 
Let's start as with the previous tutorial:
 
using MLJ, DataFrames, Random
+         Learning networks 2    
   
 
 
Learning networks 2
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Using the @from_network macro
  3. Defining a model from scratch
Preliminary steps
 
Let's start as with the previous tutorial:
 
using MLJ, DataFrames, Random
 @load RidgeRegressor pkg=MultivariateStats
 
 Random.seed!(5) # for reproducibility
diff --git a/__site/getting-started/learning-networks/index.html b/__site/getting-started/learning-networks/index.html
index 18fd2ec4..08ef71e5 100644
--- a/__site/getting-started/learning-networks/index.html
+++ b/__site/getting-started/learning-networks/index.html
@@ -1,4 +1,4 @@
-         Learning networks    
   
 
 
Learning networks
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Defining a learning network
    1. Sources and nodes
    2. Modifying hyperparameters
  3. "Arrow" syntax
Preliminary steps
 
Let's generate a DataFrame with some dummy regression data, let's also load the good old ridge regressor.
 
using MLJ, DataFrames, Random
+         Learning networks    
   
 
 
Learning networks
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Preliminary steps
  2. Defining a learning network
    1. Sources and nodes
    2. Modifying hyperparameters
  3. "Arrow" syntax
Preliminary steps
 
Let's generate a DataFrame with some dummy regression data, let's also load the good old ridge regressor.
 
using MLJ, DataFrames, Random
 @load RidgeRegressor pkg=MultivariateStats
 
 Random.seed!(5) # for reproducibility
diff --git a/__site/getting-started/model-tuning/index.html b/__site/getting-started/model-tuning/index.html
index cbf4d24e..d2e34e13 100644
--- a/__site/getting-started/model-tuning/index.html
+++ b/__site/getting-started/model-tuning/index.html
@@ -1,4 +1,4 @@
-         Tuning a model    
   
 
 
Tuning a model
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Tuning a single hyperparameter
    1. Specifying a range of value
    2. Fitting and inspecting a tuned model
  2. Tuning nested hyperparameters
 
Tuning a single hyperparameter
 
In MLJ, tuning is implemented as a model wrapper. After wrapping a model in a tuning strategy (e.g. cross-validation) and binding the wrapped model to data in a machine, fitting the machine initiates a search for optimal model hyperparameters.
 
Let's use a decision tree classifier and tune the maximum depth of the tree. As usual, start by loading data and the model
 
using MLJ, PrettyPrinting
+         Tuning a model    
   
 
 
Tuning a model
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Tuning a single hyperparameter
    1. Specifying a range of value
    2. Fitting and inspecting a tuned model
  2. Tuning nested hyperparameters
 
Tuning a single hyperparameter
 
In MLJ, tuning is implemented as a model wrapper. After wrapping a model in a tuning strategy (e.g. cross-validation) and binding the wrapped model to data in a machine, fitting the machine initiates a search for optimal model hyperparameters.
 
Let's use a decision tree classifier and tune the maximum depth of the tree. As usual, start by loading data and the model
 
using MLJ, PrettyPrinting
 X, y = @load_iris
 @load DecisionTreeClassifier
DecisionTreeClassifier(
     max_depth = -1,
diff --git a/__site/getting-started/stacking/index.html b/__site/getting-started/stacking/index.html
new file mode 100644
index 00000000..0d47429c
--- /dev/null
+++ b/__site/getting-started/stacking/index.html
@@ -0,0 +1,290 @@
+         Stacking    
   
 
 
Stacking
 Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
  1. Basic stacking using out-of-sample base learner predictions
    1. Warm-up exercise: Define a model type to average predictions
  2. Stacking proper
    1. Helper functions:
    2. Choose some test data (optional) and some component models (defaults for the composite model):
    3. Define the training nodes
    4. Define nodes still needed for prediction
  3. Export the learning network as a new model type
  4. Applying MyTwoModelStack to Ames House Price data
In stacking one blends the predictions of different regressors or classifiers to gain, in some cases, better performance than naive averaging or majority vote.
 
Here we illustrate how to build a two-model stack as an MLJ learning network, which we export as a new stand-alone composite model type MyTwoStack. This will make the stack that we build completely re-usable (new data, new models) and means we can apply meta-algorithms, such as performance evaluation and tuning, to the stack, exaclty as we would for any other model.
 
Our main purpose here is to demonstrate the flexibility of MLJ's composite model interface. Eventually, MLJ will provide built-in composite types or macros to achieve the same results in a few lines, which will suffice for routine stacking tasks.
 
After defining the MyTwoStack model type, we instantiate it for an application to the Ames House Price data set.
 
Basic stacking using out-of-sample base learner predictions
 
A rather general stacking protocol was first described in a 1992 paper by David Wolpert. For a generic introduction to the basic two-layer stack described here, see this blog post of Burak Himmetoglu.
 
A basic stack consists of a number of base learners (two, in this illustration) and a single adjudicating model.
 
When a stacked model is called to make a prediction, the individual predictions of the base learners are made the columns of an input table for the adjudicating model, which then outputs the final prediction. However, it is crucial to understand that the flow of data during training is not the same.
 
The base model predictions used to train the adjudicating model are not the predictions of the base learners fitted to all the training data. Rather, to prevent the adjudicator giving too much weight to the base learners with low training error, the input data is first split into a number of folds (as in cross-validation), a base learner is trained on each fold complement individually, and corresponding predictions on the folds are spliced together to form a full-length prediction called the out-of-sample.prediction.
 
For illustrative purposes we use just three folds. Each base learner will get three separate machines, for training on each fold complement, and a fourth machine, trained on all the supplied data, for use in the prediction flow.
 
We build the learning network with dummy data at the source nodes, so the reader inspect the workings of the network as it is built (by calling fit! on nodes, and by calling the nodes themselves). As usual, this data is not seen by the exported composite model type, and the component models we choose are just default values for the hyperparameters of the composite model.
 
using MLJ, PyPlot
+import Random.seed!
+seed!(1234)
MersenneTwister(UInt32[0x000004d2]) @ 1002

+
Some models we will use:

+
linear = @load LinearRegressor pkg=MLJLinearModels
+ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01
+knn = @load KNNRegressor; knn.K = 4
+tree = @load DecisionTreeRegressor; min_samples_leaf=1
+forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500
+svm = @load SVMRegressor;

+
Warm-up exercise: Define a model type to average predictions

+
Let's define a composite model type MyAverageTwo that averages the predictions of two deterministic regressors. Here's the learning network:

+
X = source()
+y = source(kind=:target)
+
+model1 = linear
+model2 = knn
+
+m1 = machine(model1, X, y)
+y1 = predict(m1, X)
+
+m2 = machine(model2, X, y)
+y2 = predict(m2, X)
+
+yhat = 0.5*y1 + 0.5*y2
Node @ 7…82 = +(#80(predict(1…58, 2…95)), #80(predict(5…88, 2…95)))

+
And the macro call to define MyAverageTwo and an instance average_two:

+
avg = @from_network MyAverageTwo(regressor1=model1,
+                                 regressor2=model2) <= yhat
MyAverageTwo(
+    regressor1 = LinearRegressor(
+            fit_intercept = true,
+            solver = nothing),
+    regressor2 = KNNRegressor(
+            K = 4,
+            algorithm = :kdtree,
+            metric = Distances.Euclidean(0.0),
+            leafsize = 10,
+            reorder = true,
+            weights = :uniform)) @ 1…06

+
Evaluating this average model on the Boston data set, and comparing with the base model predictions:

+
function print_performance(model, data...)
+    e = evaluate(model, data...;
+                 resampling=CV(rng=1234, nfolds=8),
+                 measure=rms,
+                 verbosity=0)
+    μ = round(e.measurement[1], sigdigits=5)
+    ste = round(std(e.per_fold[1])/sqrt(8), digits=5)
+    println("\n $model = $μ ± $(2*ste)")
+end;
+
+X, y = @load_boston
+
+print_performance(linear, X, y)
+print_performance(knn, X, y)
+print_performance(avg, X, y)

+ LinearRegressor @ 5…31 = 4.9779 ± 0.90056
+
+ KNNRegressor @ 1…34 = 6.3794 ± 0.89744
+
+ MyAverageTwo @ 1…06 = 4.9802 ± 0.94746
+

+
Stacking proper
  
Helper functions:

+
To generate folds for generating out-of-sample predictions, we define

+
folds(data, nfolds) =
+    partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...);

+
For example, we have:

+
f = folds(1:10, 3)
([1, 2, 3], [4, 5, 6], [7, 8, 9, 10])

+
In our learning network, the folds will depend on the input data, which will be wrapped as a source node. We therefore need to overload the folds function for nodes:

+
folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X);

+
It will also be convenient to use the MLJ method restrict(X, f, i) that restricts data X to the ith element (fold) of f, and corestrict(X, f, i) that restricts to the corresponding fold complement (the concatenation of all but the ith fold).

+
For example, we have:

+
corestrict(string.(1:10), f, 2)
7-element Array{String,1}:
+ "1"
+ "2"
+ "3"
+ "7"
+ "8"
+ "9"
+ "10"

+
Overloading these functions for nodes:

+
MLJ.restrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> restrict(XX, ff, i), X, f);
+MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> corestrict(XX, ff, i), X, f);

+
All the other data manipulations we will need (vcat, hcat, MLJ.table) are already overloaded to work with nodes.

+
Choose some test data (optional) and some component models (defaults for the composite model):

+
figure(figsize=(8,6))
+steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1)
+x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4]
+Xraw = (x = x, )
+yraw = steps.(x);
+idxsort = sortperm(x)
+xsort = x[idxsort]
+ysort = yraw[idxsort]
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yraw, ls="none", marker="o", label="data")
+xlim(-4.5, 4.5)
+legend()

+
+
Some models to stack:

+
model1 = linear
+model2 = knn
KNNRegressor(
+    K = 4,
+    algorithm = :kdtree,
+    metric = Distances.Euclidean(0.0),
+    leafsize = 10,
+    reorder = true,
+    weights = :uniform) @ 1…34

+
The adjudicating model:

+
judge = linear
LinearRegressor(
+    fit_intercept = true,
+    solver = nothing) @ 5…31

+
Define the training nodes

+
Let's instantiate some input and target source nodes for the learning network, wrapping the play data defined above:

+
Wrapped as source node:

+
X = source(Xraw)
+y = source(yraw; kind=:target)
Source{:target} @ 1…80
+

+
Our first internal node represents the three folds (vectors of row indices) for creating the out-of-sample predictions:

+
f = folds(X, 3)
+f()
([1, 2, 3], [4, 5, 6], [7, 8, 9])

+
Constructing machines for training model1 on each fold-complement:

+
m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1))
+m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2))
+m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3))
NodalMachine @ 2…93 = machine(LinearRegressor @ 5…31, 8…47, 6…53)

+
Define each out-of-sample prediction of model1:

+
y11 = predict(m11, restrict(X, f, 1));
+y12 = predict(m12, restrict(X, f, 2));
+y13 = predict(m13, restrict(X, f, 3));

+
Splice together the out-of-sample predictions for model1:

+
y1_oos = vcat(y11, y12, y13);

+
Optionally, to check our network so far, we can fit and plot y1_oos:

+
fit!(y1_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y1_oos(), ls="none", marker="o", label="linear oos")

+
+
We now repeat the procedure for the other model:

+
m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1))
+m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2))
+m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3))
+y21 = predict(m21, restrict(X, f, 1));
+y22 = predict(m22, restrict(X, f, 2));
+y23 = predict(m23, restrict(X, f, 3));

+
And testing the knn out-of-sample prediction:

+
y2_oos = vcat(y21, y22, y23);
+fit!(y2_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y2_oos(), ls="none", marker="o", label="knn oos")

+
+
Now that we have the out-of-sample base learner predictions, we are ready to merge them into the adjudicator's input table and construct the machine for training the adjudicator:

+
X_oos = MLJ.table(hcat(y1_oos, y2_oos))
+m_judge = machine(judge, X_oos, y)
NodalMachine @ 1…19 = machine(LinearRegressor @ 5…31, 1…60, 1…80)

+
Are we done with constructing machines? Well, not quite. Recall that when use the stack to make predictions on new data, we will be feeding the adjudicator ordinary predictions on the base learners. But so far, we have only defined machines to train the base learners on fold complements, not on the full data, which we do now:

+
m1 = machine(model1, X, y)
+m2 = machine(model2, X, y)
NodalMachine @ 8…74 = machine(KNNRegressor @ 1…34, 6…44, 1…80)

+
Define nodes still needed for prediction

+
To obtain the final prediction, yhat, we get the base learner predictions, based on training with all data, and feed them to the adjudicator:

+
y1 = predict(m1, X);
+y2 = predict(m2, X);
+X_judge = MLJ.table(hcat(y1, y2))
+yhat = predict(m_judge, X_judge)
Node @ 4…11 = predict(1…19, table(hcat(predict(1…75, 6…44), predict(8…74, 6…44))))

+
Let's check the final prediction node can be fit and called:

+
fit!(yhat, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yhat(), ls="none", marker="o", label="yhat")

+
+
Although of little statistical significance here, we note that stacking gives a lower training error than naive averaging:

+
e1 = rms(y1(), y())
+e2 = rms(y2(), y())
+emean = rms(0.5*y1() + 0.5*y2(), y())
+estack = rms(yhat(), y())
+@show e1 e2 emean estack;
e1 = 0.2581988897471611
+e2 = 0.25
+emean = 0.22126530078919587
+estack = 0.19577994695380313
+

+
Export the learning network as a new model type

+
The learning network (less the data wrapped in the source nodes) amounts to a specification of a new composite model type for two-model stacks, trained with three-fold resampling of base model predictions. Let's create the new type MyTwoModelStack:

+
@from_network MyTwoModelStack(regressor1=model1,
+                              regressor2=model2,
+                              judge=judge) <= yhat
MyTwoModelStack(
+    regressor1 = LinearRegressor(
+            fit_intercept = true,
+            solver = nothing),
+    regressor2 = KNNRegressor(
+            K = 4,
+            algorithm = :kdtree,
+            metric = Distances.Euclidean(0.0),
+            leafsize = 10,
+            reorder = true,
+            weights = :uniform),
+    judge = LinearRegressor(
+            fit_intercept = true,
+            solver = nothing)) @ 1…65

+
And this completes the definition of our re-usable stacking model type.

+
Applying MyTwoModelStack to Ames House Price data

+
Without undertaking any hyperparameter optimization, we evaluate the performance of a random forest and ridge regressor on the well-known Ames House Prices data, and compare the performance with a stack (and simple averaging) using the random forest and ridge regressors as base learners. We then indicate some options for tuning the stack.

+
Data pre-processing

+
Here we use a 12-feature reduced subset of the Ames House Price data set:

+
X0, y0 = @load_reduced_ames;

+
Inspect scitypes:

+
s = schema(X0)
+(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty
┌──────────────┬───────────────────┐
+│ names        │ scitypes          │
+│ Symbol       │ DataType          │
+│ Unknown      │ Unknown           │
+├──────────────┼───────────────────┤
+│ OverallQual  │ OrderedFactor{10} │
+│ GrLivArea    │ Continuous        │
+│ Neighborhood │ Multiclass{25}    │
+│ x1stFlrSF    │ Continuous        │
+│ TotalBsmtSF  │ Continuous        │
+│ BsmtFinSF1   │ Continuous        │
+│ LotArea      │ Continuous        │
+│ GarageCars   │ Count             │
+│ MSSubClass   │ Multiclass{15}    │
+│ GarageArea   │ Continuous        │
+│ YearRemodAdd │ Count             │
+│ YearBuilt    │ Count             │
+└──────────────┴───────────────────┘
+

+
Coerce counts and ordered factors to continuous:

+
X1 = coerce(X0, :OverallQual => Continuous,
+            :GarageCars => Continuous,
+            :YearRemodAdd => Continuous,
+            :YearBuilt => Continuous);

+
One-hot encode the multiclass:

+
hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0)
+X = transform(hot_mach, X1);

+
Check the final scitype:

+
scitype(X)
Table{AbstractArray{Continuous,1}}

+
transform the target:

+
y1 = log.(y0)
+y = transform(fit!(machine(UnivariateStandardizer(), y1),
+                   verbosity=0), y1);

+
Define the stack and compare performance:

+
avg = MyAverageTwo(regressor1=forest,
+                   regressor2=ridge)
+
+
+stack = MyTwoModelStack(regressor1=forest,
+                        regressor2=ridge,
+                        judge=linear)
+
+all_models = [forest, ridge, avg, stack];
+
+for model in all_models
+    print_performance(model, X, y)
+end;

+ RandomForestRegressor @ 1…05 = 0.3625 ± 0.02022
+
+ RidgeRegressor @ 1…79 = 0.33029 ± 0.01908
+
+ MyAverageTwo @ 2…57 = 0.34601 ± 0.01464
+
+ MyTwoModelStack @ 6…91 = 0.33028 ± 0.01938
+

+
Tuning a stack

+
A standard abuse of good data hygiene practice is to optimize stack component models separately and then tune the adjudicating model hyperparameters (using the same resampling of the data) with the base learners fixed. Although more computationally expensive, better generalization might be expected by applying tuning to the stack as a whole, either simultaneously, or in in cheaper sequential steps. Since our stack is a stand-alone model, this is readily implemented.

+
As a proof of concept, let's see how to tune one of the base model hyperparameters, based on performance of the stack as a whole:

+
r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log)
+tuned_stack = TunedModel(model=stack,
+                         ranges=r,
+                         tuning=Grid(),
+                         measure=rms,
+                         resampling=Holdout())
+
+mach = fit!(machine(tuned_stack,  X, y), verbosity=0)
+best_stack = fitted_params(mach).best_model
+best_stack.regressor2.lambda
10.27808532802195

+
Let's evaluate the best stack using the same data resampling used to the evaluate the assorted untuned models earlier (now we are neglecting data hygeine!):

+
print_performance(best_stack, X, y)

+ MyTwoModelStack @ 1…18 = 0.32861 ± 0.01914
+

+

+  

+    © Anthony Blaom, Thibaut Lienart and collaborators. Last modified: February 20, 2020. Website built with Franklin.jl.
+  

+

+
+

+
+      
 
+  
 
+  
\ No newline at end of file
diff --git a/__site/index.html b/__site/index.html
index 1878a68b..e83398ec 100644
--- a/__site/index.html
+++ b/__site/index.html
@@ -1,4 +1,4 @@
-         MLJ Tutorials    
   
 
 
MLJ Tutorials
 
 
 
Learning by doing
 
This website offers tutorials for MLJ.jl and related packages. On each tutorial page, you will find a link to download the raw script and the notebook corresponding to the page.
 
Feedback and PRs are always welcome to help make these tutorials better, from the presentation to the content.
 
In order to reproduce the environment that was used to generate these tutorials, please download this Project.toml and this Manifest.toml in a folder and, in that folder, do
 
julia> using Pkg; Pkg.activate("."); Pkg.instantiate();

+         MLJ Tutorials    
   
 
 
MLJ Tutorials
 
 
 
Learning by doing
 
This website offers tutorials for MLJ.jl and related packages. On each tutorial page, you will find a link to download the raw script and the notebook corresponding to the page.
 
Feedback and PRs are always welcome to help make these tutorials better, from the presentation to the content.
 
In order to reproduce the environment that was used to generate these tutorials, please download this Project.toml and this Manifest.toml in a folder and, in that folder, do
 
julia> using Pkg; Pkg.activate("."); Pkg.instantiate();

 
Elementary data manipulations

 
If you have some programming experience but are otherwise fairly new to data processing in Julia, you may appreciate the following few tutorials before moving on. In these we provide an introduction to some of the fundamental packages in the Julia data processing universe such as DataFrames, CSV and CategoricalArrays.

 
@@ -25,12 +25,16 @@ 
ensemble models (2)

 
+
  • More on ensembles
    
+
 
  • How to compose models
    
 
 
  • How to build a learning network
    
 
 
  • How to create models from learning networks
    
 
+
  • An extended tutorial on stacking
    
+
 
 
    Additionally, you can refer to the documentation for more detailed information.
    
 
    Introduction to Statistical Learning with MLJ
    
@@ -71,7 +75,7 @@ 
    Franklin.jl.
+    © Anthony Blaom, Thibaut Lienart and collaborators. Last modified: February 20, 2020. Website built with Franklin.jl.
   
    • 
 
    
 
diff --git a/__site/isl/lab-10/index.html b/__site/isl/lab-10/index.html
index ea532cb0..83888552 100644
--- a/__site/isl/lab-10/index.html
+++ b/__site/isl/lab-10/index.html
@@ -1,4 +1,4 @@
-         Lab 10 - PCA and Clustering    
       
     
     
    Lab 10 - PCA and Clustering
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
    2. PCA pipeline
    3. More interesting data...
      1. PCA pipeline
      2. Clustering
    Getting started
     
    using MLJ, RDatasets, Random
+         Lab 10 - PCA and Clustering    
       
     
     
    Lab 10 - PCA and Clustering
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
    2. PCA pipeline
    3. More interesting data...
      1. PCA pipeline
      2. Clustering
    Getting started
     
    using MLJ, RDatasets, Random
 
 data = dataset("datasets", "USArrests")
 names(data)
    5-element Array{Symbol,1}:
diff --git a/__site/isl/lab-2/index.html b/__site/isl/lab-2/index.html
index 86647518..6354acff 100644
--- a/__site/isl/lab-2/index.html
+++ b/__site/isl/lab-2/index.html
@@ -1,4 +1,4 @@
-         Lab 2    
       
     
     
    Lab 2
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Basic commands
    2. Loading data
    3. Plotting data
    Basic commands
     
    This is a very brief and rough primer if you're new to Julia and wondering how to do simple things that are relevant for data analysis.
     
    Defining a vector
     
    x = [1, 3, 2, 5]
+         Lab 2    
       
     
     
    Lab 2
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Basic commands
    2. Loading data
    3. Plotting data
    Basic commands
     
    This is a very brief and rough primer if you're new to Julia and wondering how to do simple things that are relevant for data analysis.
     
    Defining a vector
     
    x = [1, 3, 2, 5]
 @show x
 @show length(x)
    x = [1, 3, 2, 5]
 length(x) = 4
diff --git a/__site/isl/lab-3/index.html b/__site/isl/lab-3/index.html
index 6f07dd51..889f29dc 100644
--- a/__site/isl/lab-3/index.html
+++ b/__site/isl/lab-3/index.html
@@ -1,4 +1,4 @@
-         Lab 3 - Linear Regression    
       
     
     
    Lab 3 - Linear Regression
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Simple linear regression
    2. Interaction and transformation
    Simple linear regression
     MLJ essentially serves as a unified path to many existing Julia packages each of which provides their own functionalities and models, with their own conventions.
     
    The simple linear regression demonstrates this. Several packages offer it (beyond just using the backslash operator): here we will use MLJLinearModels but we could also have used GLM, ScikitLearn etc.
     
    To load the model from a given package use @load ModelName pkg=PackageName 
    using MLJ
+         Lab 3 - Linear Regression    
       
     
     
    Lab 3 - Linear Regression
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Simple linear regression
    2. Interaction and transformation
    Simple linear regression
     MLJ essentially serves as a unified path to many existing Julia packages each of which provides their own functionalities and models, with their own conventions.
     
    The simple linear regression demonstrates this. Several packages offer it (beyond just using the backslash operator): here we will use MLJLinearModels but we could also have used GLM, ScikitLearn etc.
     
    To load the model from a given package use @load ModelName pkg=PackageName 
    using MLJ
 
 @load LinearRegressor pkg=MLJLinearModels
    LinearRegressor(
     fit_intercept = true,
diff --git a/__site/isl/lab-4/index.html b/__site/isl/lab-4/index.html
index da8d55a9..71761172 100644
--- a/__site/isl/lab-4/index.html
+++ b/__site/isl/lab-4/index.html
@@ -1,4 +1,4 @@
-         Lab 4 - Logistic Regression, LDA, QDA, KNN    
       
     
     
    Lab 4 - Logistic Regression, LDA, QDA, KNN
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Stock market data
      1. Logistic Regression
      2. LDA
      3. QDA
      4. KNN
    2. Caravan insurance data
      1. ROC and AUC
    Stock market data
     
    Let's load the usual packages and the data
     
    using MLJ, RDatasets, DataFrames, Statistics
+         Lab 4 - Logistic Regression, LDA, QDA, KNN    
       
     
     
    Lab 4 - Logistic Regression, LDA, QDA, KNN
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Stock market data
      1. Logistic Regression
      2. LDA
      3. QDA
      4. KNN
    2. Caravan insurance data
      1. ROC and AUC
    Stock market data
     
    Let's load the usual packages and the data
     
    using MLJ, RDatasets, DataFrames, Statistics
 import StatsBase: countmap
 using PrettyPrinting
 
diff --git a/__site/isl/lab-5/index.html b/__site/isl/lab-5/index.html
index 9de8cba0..3dc8707c 100644
--- a/__site/isl/lab-5/index.html
+++ b/__site/isl/lab-5/index.html
@@ -1,4 +1,4 @@
-         Lab 5 - Cross validation and the bootstrap    
       
     
     
    Lab 5 - Cross validation and the bootstrap
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Polynomial regression
    2. K-Folds Cross Validation
    3. The Bootstrap
    Getting started
     
    using MLJ, RDatasets
+         Lab 5 - Cross validation and the bootstrap    
       
     
     
    Lab 5 - Cross validation and the bootstrap
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Polynomial regression
    2. K-Folds Cross Validation
    3. The Bootstrap
    Getting started
     
    using MLJ, RDatasets
 auto = dataset("ISLR", "Auto")
 y, X = unpack(auto, ==(:MPG), col->true)
 train, test = partition(eachindex(y), 0.5, shuffle=true, rng=444);
     
    Note the use of rng= to seed the shuffling of indices so that the results are reproducible.
     
    Polynomial regression
     
    @load LinearRegressor pkg=MLJLinearModels
    LinearRegressor(
diff --git a/__site/isl/lab-6b/index.html b/__site/isl/lab-6b/index.html
index e208463d..191119ca 100644
--- a/__site/isl/lab-6b/index.html
+++ b/__site/isl/lab-6b/index.html
@@ -1,4 +1,4 @@
-          Lab 6b - Ridge and Lasso regression    
       
     
     
    Lab 6b - Ridge and Lasso regression
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Data preparation
    2. Ridge pipeline
      1. Baseline
      2. Basic Ridge
      3. Cross validating
    3. Lasso pipeline
    4. Elastic net pipeline
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting
+          Lab 6b - Ridge and Lasso regression    
       
     
     
    Lab 6b - Ridge and Lasso regression
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Data preparation
    2. Ridge pipeline
      1. Baseline
      2. Basic Ridge
      3. Cross validating
    3. Lasso pipeline
    4. Elastic net pipeline
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting
 import Distributions
 const D = Distributions
 
diff --git a/__site/isl/lab-8/index.html b/__site/isl/lab-8/index.html
index fba477bf..a161dc3a 100644
--- a/__site/isl/lab-8/index.html
+++ b/__site/isl/lab-8/index.html
@@ -1,4 +1,4 @@
-         Lab 8 - Tree-based models    
       
     
     
    Lab 8 - Tree-based models
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Decision Tree Classifier
      2. Tuning a DTC
      3. Decision Tree Regressor
    2. Random Forest
    3. Gradient Boosting Machine
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting
+         Lab 8 - Tree-based models    
       
     
     
    Lab 8 - Tree-based models
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Decision Tree Classifier
      2. Tuning a DTC
      3. Decision Tree Regressor
    2. Random Forest
    3. Gradient Boosting Machine
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting
 @load DecisionTreeClassifier pkg=DecisionTree
 
 carseats = dataset("ISLR", "Carseats")
diff --git a/__site/isl/lab-9/index.html b/__site/isl/lab-9/index.html
index 56f6f191..c282b6ae 100644
--- a/__site/isl/lab-9/index.html
+++ b/__site/isl/lab-9/index.html
@@ -1,4 +1,4 @@
-         Lab 9 - Support Vector Machine    
       
     
     
    Lab 9 - Support Vector Machine
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Basic tuning
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting, Random
    false
    
+         Lab 9 - Support Vector Machine    
       
     
     
    Lab 9 - Support Vector Machine
     Download the notebook, the raw script, or the annotated script for this tutorial (right-click on the link and save). 
    1. Getting started
      1. Basic tuning
    Getting started
     
    using MLJ, RDatasets, PrettyPrinting, Random
    false
    
 
    We start by generating a 2D cloud of points
    
 
    Random.seed!(3203)
 X = randn(20, 2)
diff --git a/__site/libs/lunr/lunr_index.js b/__site/libs/lunr/lunr_index.js
index 208acd80..6ee72bfd 100644
--- a/__site/libs/lunr/lunr_index.js
+++ b/__site/libs/lunr/lunr_index.js
@@ -1,2 +1,2 @@
-const LUNR_DATA = {"version":"2.3.8","fields":["t","b"],"fieldVectors":[["t/0",[0,2.085,1,0.018,2,0.111]],["b/0",[0,2.654,1,0.036,2,0.204,3,0.023,4,0.032,5,0.024,6,0.024,7,0.039,8,0.023,9,0.024,10,0.024,11,0.023,12,0.023,13,0.024,14,0.024,15,0.023,16,0.279,17,0.023,18,0.023,19,0.023,20,0.023,21,0.084,22,0.163,23,0.023,24,0.092,25,0.084,26,0.024,27,0.024,28,0.398,29,0.035,30,0.023,31,0.023,32,0.023,33,0.023,34,0.023,35,0.023,36,0.031,37,0.033,38,0.023,39,0.023,40,0.023,41,0.024,42,0.023,43,0.074,44,0.074,45,0.074,46,0.093,47,0.126,48,0.126,49,0.126,50,0.074,51,0.126,52,1.015,53,3.754,54,3.754,55,3.754,56,3.754,57,1.866,58,3.091,59,2.327,60,1.958,61,0.107,62,2.654,63,4.461,64,4.721,65,4.817,66,5.7,67,4.692,68,3.754,69,1.367,70,4.721,71,2.327,72,3.091,73,3.091,74,2.654,75,2.327,76,3.091,77,3.337,78,5.164,79,1.85,80,3.887,81,4.029,82,5.419,83,3.65,84,1.109,85,1.85,86,4.252,87,1.594,88,1.664,89,0.813,90,5.164,91,3.754,92,2.289,93,1.238,94,0.807,95,0.159,96,0.807,97,1.357,98,3.754,99,0.407,100,1.85,101,0.721,102,2.654,103,1.258,104,1.85,105,5.164,106,4.721,107,0.618,108,0.9,109,2.066,110,3.754,111,5.7,112,4.029,113,3.359,114,0.807,115,3.754,116,3.754,117,1.85,118,3.754,119,3.754,120,1.525,121,1.015,122,2.327,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024]],["t/1",[136,2.107,137,0.445]],["b/1",[1,0.026,2,0.185,3,0.011,4,0.026,5,0.011,6,0.022,7,0.039,8,0.017,9,0.011,10,0.011,11,0.011,12,0.021,13,0.011,14,0.022,15,0.011,16,0.183,17,0.011,18,0.011,19,0.011,20,0.011,21,0.048,22,0.158,23,0.011,24,0.068,25,0.048,26,0.011,27,0.011,28,0.325,29,0.034,30,0.029,31,0.027,32,0.011,33,0.021,34,0.021,35,0.021,36,0.018,37,0.022,38,0.011,39,0.011,40,0.011,41,0.011,42,0.011,43,0.034,44,0.034,45,0.034,46,0.054,47,0.058,48,0.058,49,0.058,50,0.034,51,0.058,58,1.433,60,1.219,61,0.106,69,0.809,77,2.702,83,1.23,85,2.047,89,0.506,94,1.162,95,0.092,96,0.588,99,0.437,103,0.728,107,0.228,108,0.417,120,1.129,121,0.726,123,0.011,124,0.011,125,0.011,126,0.011,127,0.011,128,0.018,129,0.022,130,0.011,131,0.018,132,0.011,133,0.011,134,0.011,135,0.011,136,1.079,137,0.762,138,1.74,139,1.74,140,1.74,141,1.74,142,1.74,143,1.74,144,1.495,145,1.74,146,1.433,147,1.74,148,0.629,149,1.932,150,1.433,151,1.365,152,1.433,153,1.23,154,1.079,155,1.74,156,1.433,157,1.433,158,1.23,159,0.228,160,1.74,161,1.883,162,0.996,163,1.302,164,0.573,165,0.464,166,0.958,167,1.662,168,1.74,169,1.883,170,1.23,171,1.433,172,0.857,173,0.996,174,1.538,175,1.302,176,0.996,177,1.74,178,1.23,179,3.552,180,3.552,181,3.375,182,2.702,183,2.385,184,1.381,185,2.047,186,2.702,187,2.702,188,2.702,189,2.702,190,2.702,191,2.702,192,2.37,193,3.822,194,0.734,195,0.771,196,1.811,197,1.433,198,1.74,199,1.295,200,2.427,201,3.931,202,3.259,203,3.42,204,1.507,205,2.25,206,2.25,207,2.25,208,2.25,209,2.778,210,2.25,211,3.42,212,2.25,213,2.25,214,3.796,215,1.496,216,3.796,217,2.25,218,2.25,219,2.25,220,2.778,221,2.778,222,2.778,223,2.25,224,2.25,225,3.42,226,1.433,227,1.433,228,1.433,229,1.433,230,1.23,231,3.822,232,1.74,233,1.74,234,1.74,235,1.74,236,1.74,237,1.74,238,1.74,239,1.74,240,1.74,241,1.74,242,0.708,243,1.23,244,1.694,245,1.23,246,0.629,247,1.74,248,0.857,249,3.374,250,2.25,251,1.504,252,1.74,253,1.74,254,1.093,255,1.74,256,2.733,257,1.74,258,1.74,259,1.74,260,2.37,261,2.091,262,2.385,263,1.079,264,1.74,265,2.25,266,2.733,267,1.74,268,0.771,269,1.74,270,1.74,271,1.74,272,1.74,273,0.857,274,1.932,275,1.74,276,1.74,277,1.74,278,1.74,279,1.433,280,2.702,281,1.662,282,1.093,283,1.74,284,2.25,285,4.154,286,3.822,287,2.936,288,1.74,289,1.381,290,1.346,291,1.661,292,2.25,293,1.74,294,2.778,295,2.733,296,1.433,297,2.25,298,2.778,299,1.433,300,1.74,301,1.74,302,2.778,303,2.733,304,1.433,305,1.433,306,1.433,307,1.74,308,1.74,309,1.433,310,1.433,311,1.093,312,1.74,313,1.74,314,1.433,315,1.74,316,1.433,317,1.211,318,1.74,319,1.433,320,1.74,321,1.433,322,1.74,323,1.74,324,1.433,325,1.74,326,1.433,327,1.433,328,1.433,329,2.25,330,1.433,331,1.74,332,1.74,333,1.433,334,1.74,335,1.433,336,1.932,337,1.74,338,1.74,339,1.433,340,1.74,341,1.433,342,1.346,343,1.74,344,1.433,345,1.74,346,1.433,347,1.932,348,1.74,349,1.74,350,1.433,351,1.74,352,1.433,353,2.25,354,1.74,355,1.433,356,1.74,357,1.433,358,1.932,359,0.464,360,1.841,361,1.857,362,0.809,363,1.23,364,1.74,365,1.74,366,1.74,367,1.74,368,1.079,369,1.74,370,1.74,371,1.74,372,1.23,373,1.74,374,2.733,375,1.74,376,1.079,377,0.374,378,1.74,379,1.74,380,1.433,381,1.23,382,3.374,383,1.74,384,1.74,385,1.433,386,2.25,387,1.74,388,1.433,389,0.958,390,1.932,391,1.23,392,1.74,393,1.74,394,1.74,395,1.74,396,1.433,397,1.932,398,1.23,399,1.74,400,1.74,401,1.74,402,0.857,403,1.079,404,0.629,405,1.74,406,2.733,407,1.74,408,1.74,409,1.74,410,1.694,411,1.74,412,1.433,413,1.433,414,1.74,415,1.74,416,1.74,417,1.74,418,1.74,419,1.74,420,1.74,421,1.74,422,1.74,423,1.74,424,1.74,425,1.74,426,3.374,427,1.433,428,1.74,429,1.23,430,1.74,431,1.74,432,1.74,433,3.374,434,1.74,435,1.74,436,1.74,437,1.23,438,1.74,439,1.74,440,0.958,441,1.74,442,1.74,443,0.629,444,1.433,445,1.433,446,1.433,447,2.104,448,1.23,449,1.433,450,1.433,451,2.25,452,2.25,453,3.42,454,2.25,455,4.401,456,1.433,457,1.433,458,2.25,459,2.778,460,3.552,461,1.433,462,1.079,463,1.433,464,1.433,465,1.079,466,3.374,467,1.346,468,1.932,469,0.807,470,1.433,471,1.662,472,1.23,473,1.433,474,1.74,475,1.433,476,1.74,477,1.346,478,1.694,479,1.74,480,3.147,481,3.147,482,2.733,483,1.74,484,0.958,485,2.733,486,1.74,487,1.74,488,1.74,489,1.74,490,1.74,491,1.74,492,1.433,493,1.74,494,1.74,495,0.417,496,3.374,497,1.74,498,1.433,499,1.74,500,1.74,501,0.166,502,1.74,503,2.733,504,0.588,505,1.346,506,0.988,507,2.733,508,1.74,509,1.74,510,2.733,511,2.733,512,1.74,513,1.74,514,1.23,515,0.958,516,0.569,517,2.733,518,2.733,519,1.74,520,2.733,521,2.733,522,2.733,523,2.733,524,0.514,525,1.433,526,1.74,527,1.74,528,1.74,529,1.74,530,1.74,531,1.74,532,1.74,533,1.74,534,1.74,535,1.74,536,1.74,537,1.74,538,1.74,539,1.74,540,1.74]],["t/2",[2,0.098,8,0.016,541,1.841,542,1.283]],["b/2",[1,0.02,2,0.219,3,0.02,4,0.032,5,0.021,6,0.027,7,0.039,8,0.035,9,0.021,10,0.021,11,0.02,12,0.02,13,0.021,14,0.031,15,0.02,16,0.258,17,0.02,18,0.02,19,0.02,20,0.02,21,0.075,22,0.153,23,0.02,24,0.09,25,0.075,26,0.021,27,0.021,28,0.384,29,0.03,30,0.02,31,0.02,32,0.02,33,0.02,34,0.02,35,0.02,36,0.027,37,0.031,38,0.02,39,0.02,40,0.026,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.084,51,0.16,60,1.146,61,0.113,85,2.347,89,0.834,93,0.76,94,0.91,95,0.16,96,0.91,97,1.146,99,0.451,108,1.015,120,1.406,121,0.91,122,1.966,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.712,148,1.529,149,2.241,154,1.966,158,2.241,159,0.415,161,2.608,162,1.668,163,0.936,164,0.476,165,1.269,166,1.746,167,2.085,169,1.562,173,0.936,174,1.25,176,1.25,196,1.66,199,1.139,200,3.061,204,1.939,244,1.966,246,1.146,261,1.966,282,1.268,358,2.241,359,1.127,377,1.024,391,3.367,447,1.746,450,2.611,467,1.562,475,2.611,501,0.302,504,0.682,524,0.936,541,2.241,542,2.085,543,3.171,544,3.171,545,3.171,546,3.171,547,3.171,548,2.623,549,3.171,550,1.875,551,1.127,552,1.875,553,4.232,554,3.171,555,5.294,556,3.484,557,1.66,558,2.623,559,1.692,560,2.991,561,2.611,562,2.241,563,1.127,564,1.529,565,1.146,566,3.171,567,2.623,568,4.232,569,2.611,570,2.611,571,2.241,572,3.171,573,1.966,574,3.171,575,0.845,576,3.171,577,2.797,578,2.611,579,4.359,580,3.171,581,3.171,582,2.611,583,3.171,584,4.232,585,3.921,586,3.171,587,3.171,588,3.171,589,5.446,590,3.171,591,3.171,592,3.171,593,3.171,594,3.171,595,3.171,596,3.171,597,3.171,598,3.171,599,3.171,600,3.171,601,1.966,602,4.232,603,1.405,604,3.171,605,3.171,606,2.611,607,4.578,608,1.746,609,1.562,610,1.966,611,1.405,612,3.171,613,3.171,614,3.171,615,1.146,616,2.611,617,1.966,618,4.232,619,3.484,620,3.367,621,2.611,622,3.171,623,2.241,624,1.562,625,3.171,626,4.232,627,3.171,628,4.232,629,4.232,630,4.232,631,4.232,632,4.232,633,4.232,634,4.232,635,4.232,636,2.611,637,4.232,638,3.171,639,3.171,640,3.171,641,3.171,642,3.171,643,3.171,644,3.171,645,3.171,646,3.171,647,4.232,648,3.171,649,3.171,650,3.171,651,3.171,652,3.171,653,3.171,654,3.171,655,3.171,656,3.171,657,3.171,658,3.171,659,3.171]],["t/3",[2,0.098,11,0.016,12,0.016,660,0.941]],["b/3",[1,0.033,2,0.217,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.017,9,0.017,10,0.017,11,0.035,12,0.037,13,0.017,14,0.017,15,0.023,16,0.235,17,0.017,18,0.017,19,0.017,20,0.017,21,0.067,22,0.14,23,0.017,24,0.077,25,0.067,26,0.017,27,0.017,28,0.369,29,0.017,30,0.017,31,0.017,32,0.017,33,0.017,34,0.017,35,0.017,36,0.024,37,0.028,38,0.017,39,0.017,40,0.017,41,0.017,42,0.017,43,0.053,44,0.053,45,0.053,46,0.074,47,0.089,48,0.089,49,0.089,50,0.053,51,0.089,52,0.807,59,1.648,60,1.958,61,0.107,65,3.087,67,3.576,69,0.899,74,1.88,80,3.576,84,1.393,85,1.31,87,1.157,89,0.746,92,1.178,93,0.899,94,0.934,95,0.089,96,0.572,99,0.342,100,1.31,103,0.999,108,0.638,112,1.88,113,2.325,114,0.572,121,0.807,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.024,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,159,0.675,161,1.848,162,1.107,165,0.708,166,1.464,174,1.283,176,0.785,179,2.651,180,2.651,181,2.651,182,3.649,183,2.651,184,1.355,185,1.848,186,2.651,187,3.749,188,3.649,189,2.651,190,2.651,191,2.651,192,2.325,195,1.925,199,1.29,200,2.982,204,0.869,242,0.639,265,2.189,274,1.88,289,1.355,359,0.999,362,1.272,376,2.325,377,0.934,390,3.071,404,1.355,467,1.31,469,0.785,471,1.31,472,1.88,484,1.464,492,3.087,501,0.253,504,0.934,505,1.848,506,0.961,524,0.785,557,0.869,558,1.648,559,1.5,560,1.88,562,1.88,563,0.999,564,0.961,575,0.708,582,3.087,620,3.516,660,2.141,661,3.75,662,2.659,663,2.659,664,2.659,665,2.659,666,2.659,667,2.659,668,2.659,669,2.659,670,2.189,671,1.31,672,2.659,673,1.178,674,1.107,675,3.358,676,4.718,677,1.464,678,2.339,679,2.651,680,2.659,681,3.829,682,2.091,683,2.659,684,3.75,685,2.651,686,1.5,687,0.999,688,1.794,689,1.063,690,2.659,691,2.659,692,1.88,693,2.659,694,2.659,695,2.651,696,2.189,697,3.087,698,2.659,699,2.659,700,1.88,701,2.189,702,3.071,703,3.2,704,2.659,705,3.576,706,3.576,707,2.693,708,2.189,709,2.659,710,2.659,711,2.659,712,2.659,713,2.659,714,2.659,715,1.178,716,2.659,717,2.659,718,1.648,719,2.659,720,4.718,721,4.718,722,4.718,723,4.718,724,3.884,725,2.189,726,2.659,727,2.659,728,2.189,729,1.88,730,0.869,731,2.189,732,1.464,733,2.659,734,2.659,735,2.738,736,2.659,737,3.576,738,1.31,739,2.659,740,2.659,741,2.325,742,2.659,743,3.75,744,2.659,745,2.659,746,2.659,747,2.659,748,2.659,749,2.659,750,2.189,751,2.659,752,2.064,753,2.659,754,2.659,755,2.659,756,2.659,757,2.189,758,2.659,759,2.651,760,2.189,761,4.095,762,2.189,763,3.087,764,1.648,765,2.189,766,3.75,767,0.869,768,2.659,769,1.88,770,2.189,771,1.88,772,1.648,773,2.659,774,2.189,775,2.659,776,3.087,777,2.659,778,3.087,779,2.189,780,2.659,781,2.659]],["t/4",[38,0.025]],["b/4",[1,0.027,2,0.195,3,0.021,4,0.021,5,0.015,6,0.015,7,0.039,8,0.029,9,0.015,10,0.015,11,0.014,12,0.014,13,0.015,14,0.026,15,0.014,16,0.321,17,0.032,18,0.031,19,0.032,20,0.034,21,0.06,22,0.138,23,0.014,24,0.092,25,0.087,26,0.015,27,0.015,28,0.354,29,0.027,30,0.021,31,0.029,32,0.014,33,0.021,34,0.014,35,0.025,36,0.028,37,0.015,38,0.025,39,0.014,40,0.014,41,0.015,42,0.014,43,0.045,44,0.045,45,0.045,46,0.066,47,0.077,48,0.077,49,0.077,50,0.045,51,0.077,52,1.053,57,1.212,60,0.823,61,0.109,69,1.053,79,1.122,81,1.61,84,0.673,85,1.122,89,0.659,93,0.546,94,0.945,95,0.157,96,0.721,97,1.212,99,0.18,101,0.437,103,0.607,107,0.64,117,1.122,121,0.49,123,0.015,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.015,130,0.015,131,0.015,132,0.015,133,0.015,134,0.015,135,0.015,137,0.298,144,1.009,148,0.823,151,1.061,157,1.875,159,0.439,162,0.673,163,0.673,164,0.342,169,1.122,172,1.652,175,0.673,194,0.764,199,1.053,200,2.192,215,0.607,242,0.798,246,0.823,248,1.122,254,1.592,268,1.764,273,1.961,311,0.911,317,1.009,342,1.122,360,1.009,361,1.846,362,0.804,368,1.412,403,1.412,404,1.212,437,1.61,443,0.823,444,1.875,446,2.761,447,1.254,465,1.412,495,0.546,498,1.875,501,0.32,504,0.945,506,0.823,516,0.744,524,0.673,525,1.875,551,0.607,552,1.009,562,1.61,563,0.894,575,1.17,603,1.009,609,1.961,611,1.009,615,1.212,671,1.961,674,1.176,678,1.592,687,0.607,688,1.534,689,1.958,730,1.096,738,1.122,778,1.875,782,2.278,783,2.278,784,2.278,785,2.494,786,2.278,787,3.354,788,2.278,789,2.371,790,2.278,791,2.278,792,0.673,793,3.354,794,2.278,795,1.61,796,2.192,797,3.354,798,1.61,799,1.61,800,2.371,801,2.278,802,3.354,803,0.673,804,0.467,805,0.694,806,1.875,807,1.246,808,1.875,809,1.412,810,1.875,811,2.278,812,2.278,813,2.278,814,2.278,815,2.278,816,2.278,817,2.278,818,2.278,819,2.278,820,2.278,821,2.278,822,2.278,823,2.278,824,3.354,825,2.278,826,2.278,827,2.278,828,4.681,829,2.278,830,2.278,831,3.354,832,3.981,833,2.278,834,3.354,835,2.278,836,2.278,837,2.278,838,2.278,839,2.278,840,2.278,841,1.875,842,2.278,843,2.278,844,2.278,845,2.278,846,2.278,847,2.278,848,2.278,849,1.439,850,1.875,851,2.278,852,2.278,853,2.278,854,2.278,855,2.278,856,0.972,857,1.254,858,2.278,859,1.652,860,1.254,861,1.654,862,1.61,863,3.981,864,2.278,865,2.278,866,2.278,867,2.278,868,2.278,869,0.823,870,1.652,871,1.875,872,1.007,873,1.875,874,2.278,875,2.278,876,2.278,877,2.278,878,2.278,879,0.894,880,0.823,881,1.875,882,1.009,883,2.278,884,2.278,885,2.075,886,2.278,887,1.756,888,2.278,889,2.278,890,3.981,891,3.354,892,1.61,893,2.192,894,1.122,895,1.875,896,1.875,897,2.761,898,1.096,899,1.875,900,1.412,901,1.875,902,2.278,903,2.278,904,2.278,905,2.278,906,1.875,907,3.981,908,1.412,909,1.875,910,2.278,911,2.278,912,1.254,913,1.122,914,2.278,915,2.278,916,2.17,917,3.354,918,1.341,919,1.61,920,2.278,921,1.592,922,2.306,923,4.681,924,1.122,925,1.61,926,2.278,927,2.371,928,2.278,929,1.61,930,2.079,931,2.278,932,2.278,933,1.652,934,2.079,935,2.761,936,1.846,937,2.761,938,2.761,939,2.761,940,1.247,941,2.079,942,2.278,943,1.875,944,3.104,945,3.139,946,2.371,947,2.814,948,2.371,949,1.61,950,2.278,951,3.461,952,3.354,953,2.753,954,3.602,955,3.354,956,3.354,957,3.354,958,1.341,959,2.278,960,2.278,961,2.371,962,2.761,963,1.875,964,2.278,965,2.278,966,2.278,967,2.278,968,3.354,969,3.354,970,3.354,971,1.875,972,1.412,973,3.981,974,1.875,975,2.814,976,1.61,977,2.278,978,4.392,979,2.278,980,1.412,981,1.254,982,2.278,983,3.354,984,2.278,985,1.009,986,2.278,987,1.875,988,2.278,989,1.875,990,1.875,991,2.371,992,3.354,993,1.875,994,2.278,995,1.875,996,2.278,997,0.607,998,2.278,999,1.875,1000,1.875,1001,2.814,1002,2.278,1003,2.761,1004,2.278,1005,1.61,1006,1.875,1007,3.354,1008,2.761,1009,1.875,1010,1.875,1011,1.122,1012,1.875,1013,2.371,1014,2.278,1015,2.278,1016,3.615,1017,1.412,1018,2.278,1019,1.61,1020,3.354,1021,1.875,1022,2.278,1023,1.875,1024,1.009,1025,2.079,1026,1.875,1027,2.278,1028,2.278,1029,3.354,1030,2.278,1031,2.278,1032,3.354,1033,2.761,1034,2.278,1035,2.278,1036,1.254,1037,3.981,1038,1.009,1039,2.278,1040,2.278,1041,2.761,1042,3.981,1043,2.278,1044,1.875,1045,1.61,1046,2.371,1047,3.354,1048,1.875,1049,1.009,1050,1.61,1051,2.278,1052,1.61,1053,2.278,1054,2.278,1055,2.278,1056,2.278,1057,4.681,1058,3.354,1059,3.354,1060,3.354,1061,1.875,1062,0.894,1063,2.278,1064,1.846,1065,0.823,1066,2.278,1067,2.371,1068,2.278,1069,0.823,1070,2.278,1071,2.278,1072,2.278,1073,2.278,1074,2.278,1075,1.61,1076,2.278,1077,2.278,1078,1.412,1079,1.592,1080,1.412,1081,2.371,1082,1.846,1083,1.846,1084,1.61,1085,1.875,1086,0.744,1087,0.911,1088,2.278,1089,0.911,1090,1.61,1091,2.278,1092,2.278,1093,1.61,1094,1.61,1095,1.254,1096,1.122,1097,1.846,1098,1.61,1099,1.61,1100,2.278,1101,1.486,1102,0.823,1103,1.009,1104,1.341,1105,2.278,1106,1.61,1107,2.278,1108,3.354,1109,2.278,1110,1.875,1111,2.278,1112,1.254,1113,2.278]],["t/5",[40,0.021,1114,2.403]],["b/5",[1,0.017,2,0.178,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.027,9,0.017,10,0.017,11,0.017,12,0.017,13,0.017,14,0.017,15,0.017,16,0.28,17,0.017,18,0.017,19,0.017,20,0.035,21,0.067,22,0.133,23,0.017,24,0.084,25,0.067,26,0.017,27,0.017,28,0.369,29,0.031,30,0.017,31,0.023,32,0.017,33,0.017,34,0.017,35,0.023,36,0.024,37,0.024,38,0.017,39,0.017,40,0.027,41,0.032,42,0.017,43,0.053,44,0.053,45,0.053,46,0.074,47,0.09,48,0.09,49,0.09,50,0.053,51,0.09,57,0.965,61,0.107,62,1.887,79,1.315,84,0.788,92,1.183,94,0.574,95,0.182,99,0.343,107,0.349,114,0.809,122,2.331,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,137,0.349,159,0.492,162,1.285,163,0.788,164,0.4,167,1.315,172,1.315,173,0.788,175,0.788,194,0.722,199,1.072,204,1.628,215,1.327,250,2.198,281,1.315,311,1.067,377,0.574,404,0.965,413,2.198,440,1.469,495,1.239,504,1.072,506,0.965,548,1.655,565,1.708,575,1.16,608,1.469,611,1.183,617,1.655,677,1.469,687,0.711,688,1.526,689,1.504,695,1.887,715,1.183,725,2.198,730,1.422,738,1.853,762,2.198,767,1.229,792,0.788,799,1.887,803,0.788,804,0.492,805,0.652,806,2.198,807,1.322,808,2.198,809,1.655,810,2.198,850,3.096,857,1.469,869,0.965,872,0.809,879,1.16,880,0.965,881,2.198,882,1.183,887,1.067,898,1.229,919,1.887,929,1.887,941,1.655,989,2.198,997,0.711,1016,2.198,1036,1.469,1050,2.658,1069,1.359,1087,1.504,1101,1.666,1102,1.359,1103,1.666,1104,1.067,1106,2.658,1114,3.521,1115,2.669,1116,2.669,1117,2.669,1118,2.669,1119,2.669,1120,2.669,1121,2.669,1122,1.655,1123,1.183,1124,0.711,1125,2.669,1126,2.669,1127,4.726,1128,2.669,1129,3.76,1130,2.669,1131,2.669,1132,2.669,1133,2.669,1134,2.669,1135,2.669,1136,2.669,1137,2.669,1138,3.096,1139,2.669,1140,2.669,1141,3.76,1142,2.669,1143,2.669,1144,2.669,1145,2.669,1146,2.669,1147,2.669,1148,1.469,1149,2.669,1150,2.669,1151,3.76,1152,2.198,1153,2.669,1154,2.198,1155,2.198,1156,2.669,1157,2.658,1158,2.669,1159,2.669,1160,4.353,1161,2.669,1162,2.669,1163,2.669,1164,2.669,1165,3.077,1166,2.07,1167,3.76,1168,2.669,1169,4.353,1170,4.353,1171,2.669,1172,2.669,1173,2.669,1174,2.331,1175,2.669,1176,2.198,1177,2.669,1178,2.669,1179,2.669,1180,2.669,1181,2.669,1182,2.669,1183,2.669,1184,2.669,1185,2.669,1186,2.669,1187,2.669,1188,2.669,1189,2.669,1190,1.89,1191,2.669,1192,2.669,1193,2.669,1194,2.669,1195,2.669,1196,2.669,1197,2.669,1198,2.669,1199,1.469,1200,2.669,1201,2.669,1202,1.887,1203,2.669,1204,2.658,1205,2.669,1206,2.669,1207,2.669,1208,2.669,1209,2.198,1210,1.183,1211,2.198,1212,1.887,1213,2.198,1214,3.76,1215,3.76,1216,2.669,1217,2.669,1218,1.887,1219,3.584,1220,1.067,1221,3.077,1222,5.168,1223,2.669,1224,2.669,1225,3.76,1226,1.887,1227,3.096,1228,2.669,1229,2.669,1230,2.669,1231,0.965,1232,2.669,1233,2.198,1234,2.669,1235,2.198,1236,2.669,1237,2.669,1238,2.669,1239,2.669,1240,2.669,1241,2.669,1242,2.198,1243,2.669,1244,2.669,1245,2.669,1246,2.669,1247,2.669,1248,2.669,1249,2.669,1250,2.669,1251,2.669,1252,2.669,1253,2.669,1254,2.669,1255,2.669,1256,2.669,1257,2.669,1258,2.669,1259,2.669,1260,2.669,1261,2.669,1262,2.669,1263,2.669,1264,2.669,1265,2.669,1266,2.669,1267,2.669,1268,2.669,1269,2.669,1270,2.669,1271,2.669,1272,2.669,1273,2.669,1274,2.669,1275,2.669,1276,2.669,1277,2.669,1278,2.669,1279,2.669,1280,2.669,1281,3.096,1282,2.669,1283,2.669,1284,2.669,1285,2.669,1286,2.669,1287,2.669,1288,2.669,1289,2.669,1290,2.669,1291,2.669,1292,2.669,1293,2.669,1294,2.669,1295,2.669,1296,2.669,1297,2.669,1298,2.669,1299,2.669,1300,2.669,1301,2.669,1302,2.669,1303,2.669,1304,2.669,1305,2.669,1306,2.669,1307,2.669,1308,2.669,1309,2.669,1310,2.669,1311,2.669,1312,2.669,1313,2.669,1314,2.669,1315,2.669,1316,2.669,1317,2.669,1318,2.669,1319,2.669,1320,2.669,1321,2.669,1322,2.669,1323,2.669,1324,2.669,1325,2.669,1326,2.669,1327,2.669,1328,2.669,1329,2.669,1330,2.669,1331,2.669,1332,1.229,1333,1.285,1334,2.669,1335,2.669,1336,1.655,1337,1.868,1338,2.669,1339,1.655,1340,2.198,1341,1.887,1342,1.741,1343,2.669,1344,2.669,1345,2.669,1346,2.331,1347,2.198,1348,3.76,1349,1.887,1350,3.096,1351,2.669,1352,3.096,1353,3.76,1354,2.198,1355,3.76,1356,3.096,1357,2.669,1358,3.76,1359,3.077,1360,3.76,1361,2.669,1362,2.669,1363,1.655,1364,1.887,1365,1.469,1366,1.655,1367,2.198,1368,3.096,1369,2.331,1370,2.669,1371,3.76,1372,3.76,1373,3.76,1374,2.669,1375,2.331,1376,2.198,1377,2.669,1378,2.669,1379,2.07,1380,1.887,1381,2.198,1382,2.669,1383,2.669,1384,2.669,1385,2.669,1386,3.76,1387,2.198,1388,2.669,1389,1.887,1390,2.07,1391,2.669,1392,1.469,1393,3.76,1394,2.669,1395,2.658,1396,2.669,1397,2.669,1398,3.76,1399,2.331,1400,2.669,1401,2.669,1402,2.669,1403,0.872,1404,2.669,1405,3.76,1406,2.669,1407,2.669,1408,2.658,1409,2.669,1410,1.655,1411,2.669,1412,2.669,1413,2.669,1414,2.669,1415,2.669,1416,2.669,1417,2.669,1418,2.198,1419,2.669,1420,1.469,1421,2.669]],["t/6",[2,0.111,42,0.018,1422,2.428]],["b/6",[0,2.541,1,0.026,2,0.217,3,0.026,4,0.029,5,0.016,6,0.023,7,0.039,8,0.03,9,0.016,10,0.016,11,0.022,12,0.026,13,0.027,14,0.016,15,0.016,16,0.289,17,0.016,18,0.016,19,0.016,20,0.026,21,0.064,22,0.118,23,0.016,24,0.086,25,0.064,26,0.016,27,0.016,28,0.363,29,0.022,30,0.016,31,0.016,32,0.016,33,0.016,34,0.016,35,0.029,36,0.023,37,0.023,38,0.016,39,0.016,40,0.016,41,0.016,42,0.026,43,0.05,44,0.05,45,0.05,46,0.071,47,0.084,48,0.084,49,0.084,50,0.05,51,0.084,52,0.773,57,0.905,61,0.1,69,0.601,75,1.553,76,2.063,84,0.74,87,0.668,88,1.11,89,0.376,93,0.601,95,0.189,96,0.988,97,0.905,100,1.234,104,1.234,107,0.55,108,0.862,109,1.979,114,0.773,117,1.234,120,1.604,121,1.147,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.328,144,1.11,148,0.905,151,0.668,156,2.063,162,0.74,163,0.74,164,0.539,173,0.74,174,1.575,176,1.356,185,2.263,194,0.481,195,2.035,196,1.374,215,1.389,230,1.771,242,0.612,251,1.379,261,1.553,274,3.578,280,2.541,281,1.234,291,1.002,358,1.771,359,0.668,362,1.214,377,0.539,386,2.063,389,1.379,402,1.771,437,2.971,443,1.299,469,1.061,471,1.234,477,1.234,495,0.601,501,0.239,504,1.121,524,1.436,542,1.771,559,1.437,563,0.668,564,1.299,569,2.063,573,1.553,575,0.668,577,1.379,579,2.063,607,2.063,608,1.379,609,2.071,616,2.063,619,2.063,621,2.063,623,1.771,636,2.063,660,0.905,670,2.063,674,1.061,678,1.945,681,2.541,686,1.437,688,1.436,697,2.063,701,2.063,702,2.541,705,2.063,715,1.593,718,1.553,730,1.175,735,1.379,752,1.379,757,2.063,759,2.971,761,3.461,765,2.063,767,0.819,770,2.959,771,1.771,779,3.781,792,0.74,804,0.239,805,0.601,807,1.008,849,0.905,857,1.379,872,1.121,873,4.004,879,1.224,892,1.771,918,1.002,919,1.771,922,1.771,940,1.224,972,2.228,981,2.314,1017,1.553,1023,2.063,1036,2.314,1038,1.11,1045,1.771,1046,1.771,1049,1.11,1062,0.668,1065,1.519,1069,0.905,1078,1.553,1079,1.437,1086,1.374,1089,1.002,1101,1.11,1102,0.905,1103,1.11,1148,1.379,1154,2.063,1157,1.771,1165,2.541,1190,1.002,1212,2.541,1231,0.905,1235,2.063,1242,2.063,1332,1.374,1339,2.606,1341,1.771,1359,2.541,1364,2.541,1389,1.771,1390,1.979,1392,1.379,1422,2.959,1423,2.063,1424,2.506,1425,2.506,1426,2.506,1427,2.847,1428,2.506,1429,2.506,1430,2.063,1431,2.063,1432,2.506,1433,2.959,1434,2.063,1435,2.506,1436,2.959,1437,3.595,1438,3.595,1439,2.506,1440,2.506,1441,2.506,1442,3.595,1443,3.595,1444,4.204,1445,4.863,1446,4.204,1447,4.204,1448,4.593,1449,4.204,1450,4.204,1451,4.204,1452,4.204,1453,4.204,1454,4.593,1455,4.593,1456,4.593,1457,4.593,1458,4.593,1459,4.204,1460,4.204,1461,4.593,1462,4.593,1463,4.204,1464,3.595,1465,3.595,1466,3.595,1467,4.204,1468,4.204,1469,2.506,1470,2.506,1471,2.506,1472,3.595,1473,2.506,1474,2.506,1475,2.506,1476,2.063,1477,2.959,1478,2.506,1479,2.506,1480,2.506,1481,2.506,1482,3.595,1483,2.506,1484,2.506,1485,3.595,1486,2.063,1487,2.506,1488,2.506,1489,2.506,1490,2.063,1491,3.781,1492,2.506,1493,2.506,1494,1.771,1495,3.595,1496,5.334,1497,2.506,1498,2.541,1499,2.506,1500,2.063,1501,2.063,1502,1.771,1503,2.541,1504,3.595,1505,4.878,1506,4.863,1507,2.506,1508,4.863,1509,3.595,1510,2.506,1511,2.506,1512,2.506,1513,2.506,1514,2.506,1515,2.506,1516,1.771,1517,3.595,1518,2.541,1519,3.595,1520,2.847,1521,2.506,1522,2.506,1523,3.595,1524,2.506,1525,2.506,1526,2.506,1527,1.771,1528,3.461,1529,1.979,1530,1.553,1531,1.771,1532,2.506,1533,2.228,1534,2.063,1535,2.506,1536,1.771,1537,3.595,1538,2.506,1539,4.204,1540,2.506,1541,2.506,1542,2.063,1543,2.063,1544,2.506,1545,2.506,1546,2.228,1547,2.506,1548,2.506,1549,2.506,1550,2.506,1551,2.506,1552,2.506,1553,2.506,1554,2.506,1555,2.506,1556,2.506,1557,2.506,1558,3.595,1559,2.506,1560,2.506,1561,2.506,1562,2.506,1563,2.506,1564,2.506,1565,2.506,1566,2.506,1567,2.506,1568,2.506,1569,1.771,1570,2.506,1571,2.506,1572,2.263,1573,2.506,1574,2.506,1575,2.506,1576,2.506,1577,2.063,1578,2.506,1579,2.506,1580,2.506,1581,2.506,1582,2.506,1583,2.506,1584,2.063,1585,2.063,1586,1.437,1587,2.971,1588,2.506,1589,2.228,1590,2.959,1591,1.979,1592,2.959,1593,2.228,1594,2.506,1595,4.292,1596,2.506,1597,4.391,1598,2.506,1599,1.175,1600,1.234,1601,2.506,1602,2.541,1603,1.553,1604,2.506,1605,2.506,1606,2.063,1607,1.771,1608,2.506,1609,2.506,1610,1.234,1611,2.506,1612,1.979,1613,1.771,1614,2.063,1615,4.167,1616,2.063,1617,2.959,1618,3.595,1619,3.595,1620,2.506,1621,1.379,1622,1.379,1623,2.506,1624,2.506,1625,2.506,1626,2.063,1627,2.506,1628,2.506,1629,2.506,1630,2.506,1631,2.506,1632,2.506,1633,2.506,1634,2.506,1635,2.506,1636,1.771,1637,2.063,1638,1.771,1639,2.506,1640,2.541,1641,2.506,1642,2.506,1643,2.506,1644,3.595,1645,2.506,1646,2.506,1647,2.063,1648,1.553,1649,1.771,1650,2.506,1651,2.506,1652,2.506,1653,2.506,1654,2.506,1655,2.506,1656,2.506]],["t/7",[39,0.025]],["b/7",[1,0.016,2,0.217,3,0.022,4,0.026,5,0.016,6,0.016,7,0.039,8,0.03,9,0.016,10,0.016,11,0.03,12,0.03,13,0.027,14,0.023,15,0.016,16,0.274,17,0.022,18,0.016,19,0.016,20,0.022,21,0.064,22,0.147,23,0.016,24,0.082,25,0.064,26,0.016,27,0.016,28,0.363,29,0.029,30,0.022,31,0.026,32,0.016,33,0.022,34,0.022,35,0.033,36,0.027,37,0.023,38,0.016,39,0.033,40,0.016,41,0.016,42,0.016,43,0.071,44,0.05,45,0.05,46,0.071,47,0.084,48,0.121,49,0.084,50,0.05,51,0.084,61,0.103,69,0.601,81,1.771,84,1.241,87,0.668,88,1.11,92,1.11,95,0.188,96,0.773,97,1.66,99,0.362,100,1.234,101,0.807,107,0.682,108,1.008,113,1.553,114,0.904,120,0.74,121,0.904,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.023,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.328,148,1.299,151,1.12,153,1.771,162,1.241,163,1.241,164,0.631,170,1.771,174,1.061,175,1.061,176,1.241,194,0.481,196,0.819,199,0.773,215,0.958,242,0.783,245,1.771,246,0.905,268,1.593,273,1.234,281,1.234,282,1.002,289,1.299,290,1.771,291,1.437,311,1.437,317,1.11,336,1.771,342,1.234,347,2.541,362,1.25,377,0.773,385,2.063,389,1.979,398,1.771,443,0.905,495,0.601,501,0.343,516,0.819,524,1.061,542,1.234,550,1.11,551,1.296,552,1.11,556,2.063,557,1.175,563,0.958,564,0.905,570,2.063,571,1.771,575,1.349,577,1.379,610,1.553,611,1.11,623,1.771,660,1.299,674,1.241,677,2.87,678,1.837,681,3.247,685,1.771,686,1.437,688,1.703,692,1.771,700,1.771,702,1.771,703,1.553,718,1.553,730,1.175,764,2.228,767,1.501,772,1.553,789,2.541,792,1.061,804,0.239,805,0.328,849,1.299,856,0.481,857,2.314,859,1.234,861,1.374,869,0.905,872,1.185,879,1.349,882,1.11,898,1.374,912,1.379,913,1.771,916,1.593,924,1.234,940,0.958,953,1.771,972,1.553,980,1.553,985,1.11,997,0.668,1011,1.234,1024,1.863,1026,2.063,1036,1.379,1038,1.11,1061,2.063,1062,0.668,1079,1.002,1086,0.819,1124,0.668,1148,1.379,1165,1.771,1204,1.771,1210,1.11,1211,2.063,1218,1.771,1332,1.374,1337,1.299,1342,1.002,1359,1.771,1365,1.379,1379,1.379,1390,1.379,1392,1.979,1403,0.819,1410,1.553,1423,2.063,1427,2.606,1430,2.063,1434,2.063,1436,2.063,1477,2.063,1490,2.063,1500,2.063,1501,2.063,1502,1.771,1503,1.771,1505,2.063,1518,1.771,1520,2.228,1529,1.379,1530,2.228,1533,1.553,1572,1.234,1584,2.063,1586,1.945,1587,2.971,1589,1.553,1590,2.063,1591,1.379,1592,2.063,1593,1.553,1595,4.391,1597,4.292,1599,1.501,1602,1.771,1603,1.553,1606,2.063,1607,2.541,1610,1.771,1612,2.314,1615,4.391,1617,2.959,1622,1.379,1637,2.063,1657,2.506,1658,2.506,1659,2.506,1660,2.506,1661,2.506,1662,2.506,1663,2.506,1664,2.506,1665,2.506,1666,2.506,1667,2.506,1668,2.063,1669,2.506,1670,2.506,1671,2.506,1672,2.506,1673,2.506,1674,4.204,1675,4.204,1676,4.204,1677,5.061,1678,4.204,1679,4.593,1680,4.204,1681,5.061,1682,4.204,1683,4.204,1684,4.204,1685,4.204,1686,4.204,1687,4.204,1688,4.204,1689,4.204,1690,4.593,1691,2.506,1692,2.506,1693,3.595,1694,2.063,1695,2.506,1696,2.063,1697,2.506,1698,2.063,1699,2.063,1700,2.063,1701,2.063,1702,2.063,1703,2.063,1704,2.063,1705,2.506,1706,2.506,1707,2.506,1708,2.506,1709,2.506,1710,2.506,1711,2.506,1712,2.063,1713,2.506,1714,2.959,1715,1.379,1716,2.506,1717,2.506,1718,2.063,1719,2.063,1720,1.771,1721,2.506,1722,2.506,1723,2.506,1724,1.234,1725,2.506,1726,2.506,1727,2.506,1728,2.506,1729,2.506,1730,2.506,1731,2.506,1732,2.506,1733,2.506,1734,2.506,1735,2.506,1736,2.506,1737,2.506,1738,2.506,1739,2.506,1740,2.506,1741,2.506,1742,2.506,1743,2.506,1744,2.506,1745,2.506,1746,2.506,1747,2.506,1748,2.506,1749,2.506,1750,2.506,1751,2.506,1752,2.506,1753,1.771,1754,2.506,1755,1.771,1756,2.506,1757,1.771,1758,2.506,1759,2.506,1760,2.063,1761,1.771,1762,2.541,1763,2.506,1764,2.506,1765,2.506,1766,2.506,1767,2.506,1768,2.506,1769,2.506,1770,2.506,1771,2.959,1772,2.506,1773,2.506,1774,1.11,1775,2.506,1776,3.595,1777,4.204,1778,3.595,1779,4.204,1780,2.506,1781,2.506,1782,2.506,1783,2.506,1784,2.506,1785,2.506,1786,4.204,1787,2.063,1788,2.506,1789,2.506,1790,2.506,1791,1.379,1792,2.506,1793,3.595,1794,2.506,1795,3.595,1796,3.595,1797,2.506,1798,2.506,1799,3.595,1800,2.506,1801,3.595,1802,2.063,1803,2.506,1804,2.506,1805,2.506,1806,1.771,1807,2.063,1808,2.847,1809,2.959,1810,2.063,1811,1.771,1812,2.506,1813,2.506,1814,2.506,1815,2.959,1816,2.063,1817,2.506,1818,2.506,1819,2.506,1820,1.234,1821,2.506,1822,1.11,1823,2.506,1824,2.506,1825,2.506,1826,2.506,1827,2.063,1828,2.506,1829,2.506,1830,4.204,1831,1.863,1832,2.063,1833,2.506,1834,2.506,1835,2.506,1836,2.506,1837,2.506,1838,2.063,1839,2.063,1840,2.959,1841,2.063,1842,2.506,1843,2.506,1844,2.506,1845,2.506,1846,2.506,1847,1.771,1848,2.506,1849,2.506,1850,2.506,1851,2.506,1852,2.506,1853,2.506,1854,2.506,1855,2.506,1856,2.506,1857,1.379,1858,2.506]],["t/8",[15,0.018,16,0.16,985,1.307]],["b/8",[1,0.019,2,0.212,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.035,9,0.019,10,0.019,11,0.035,12,0.036,13,0.019,14,0.019,15,0.029,16,0.321,17,0.025,18,0.019,19,0.019,20,0.019,21,0.072,22,0.139,23,0.019,24,0.088,25,0.072,26,0.019,27,0.019,28,0.379,29,0.025,30,0.019,31,0.025,32,0.019,33,0.019,34,0.019,35,0.019,36,0.03,37,0.026,38,0.019,39,0.019,40,0.019,41,0.019,42,0.019,43,0.059,44,0.059,45,0.059,46,0.08,47,0.1,48,0.1,49,0.1,50,0.059,51,0.1,61,0.108,87,0.791,89,0.777,93,0.712,94,1.114,95,0.155,96,0.871,97,1.463,99,0.363,101,0.57,102,2.099,103,1.079,109,1.635,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.388,159,0.603,165,0.791,173,0.877,174,1.529,175,0.877,176,1.529,194,0.57,199,1.257,242,0.882,245,2.862,246,1.073,282,1.619,359,1.079,368,1.841,376,1.841,377,1.064,397,2.099,440,1.635,447,2.229,448,2.099,449,2.445,451,3.792,452,3.792,453,4.262,454,4.398,455,4.262,456,3.792,457,3.792,458,4.073,459,4.398,460,3.256,461,2.445,462,1.841,463,2.445,464,2.445,465,1.841,469,0.877,471,1.463,478,1.841,501,0.283,504,0.639,506,1.073,557,1.617,563,0.791,606,2.445,624,1.463,660,1.665,674,0.877,682,1.794,687,0.791,688,1.715,689,1.187,692,2.099,703,1.841,707,1.841,732,1.635,735,1.635,752,1.635,776,2.445,799,2.099,804,0.439,805,0.647,809,2.51,849,1.665,856,0.57,859,2.269,861,0.97,871,2.445,892,2.099,893,1.635,894,1.995,898,0.97,918,1.187,924,1.463,933,1.463,934,2.51,936,1.635,940,1.227,941,1.841,958,1.187,985,1.316,991,2.862,1011,1.463,1024,1.316,1038,1.316,1079,1.619,1086,0.97,1114,2.099,1148,1.635,1157,2.099,1174,1.841,1210,2.192,1332,1.323,1503,2.862,1586,1.187,1587,2.099,1591,1.635,1668,2.445,1762,2.099,1859,2.969,1860,2.969,1861,2.969,1862,2.969,1863,2.969,1864,2.969,1865,2.445,1866,3.333,1867,2.099,1868,4.048,1869,2.969,1870,2.969,1871,2.969,1872,2.969,1873,3.333,1874,2.445,1875,4.048,1876,2.969,1877,4.048,1878,2.969,1879,2.099,1880,2.862,1881,1.635,1882,2.862,1883,2.969,1884,2.445,1885,2.969,1886,1.187,1887,1.635,1888,2.969,1889,2.969,1890,2.969,1891,2.969,1892,2.969,1893,4.156,1894,2.969,1895,4.606,1896,2.969,1897,3.333,1898,4.947,1899,2.445,1900,2.969,1901,2.969,1902,2.969,1903,1.841,1904,2.969,1905,2.969,1906,4.048,1907,2.969,1908,2.969,1909,2.969,1910,2.445,1911,2.969,1912,1.841,1913,2.969,1914,2.445,1915,2.969,1916,3.333,1917,3.333,1918,2.969,1919,4.048,1920,2.969,1921,2.969,1922,2.969,1923,2.969,1924,3.333,1925,2.099,1926,2.445,1927,2.099,1928,2.445,1929,2.969,1930,2.969,1931,2.969,1932,2.969,1933,2.445,1934,2.969,1935,2.969,1936,2.969,1937,2.969,1938,2.51,1939,2.969,1940,2.969,1941,2.969,1942,2.969,1943,2.969,1944,2.969,1945,2.969]],["t/9",[16,0.184,23,0.021]],["b/9",[1,0.034,2,0.222,3,0.03,4,0.03,5,0.024,6,0.024,7,0.039,8,0.03,9,0.024,10,0.024,11,0.03,12,0.03,13,0.024,14,0.031,15,0.024,16,0.309,17,0.03,18,0.024,19,0.03,20,0.024,21,0.084,22,0.153,23,0.03,24,0.092,25,0.084,26,0.024,27,0.024,28,0.399,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.024,35,0.024,36,0.031,37,0.024,38,0.024,39,0.024,40,0.024,41,0.024,42,0.024,43,0.075,44,0.075,45,0.075,46,0.094,47,0.127,48,0.127,49,0.127,50,0.075,51,0.127,52,0.812,57,1.365,61,0.094,71,2.342,75,2.938,87,1.006,89,0.567,95,0.159,101,0.725,103,1.263,120,1.115,121,1.114,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024,144,2.295,159,0.494,164,0.567,169,1.861,184,1.365,185,2.552,242,0.808,268,1.674,289,1.872,412,3.11,440,2.079,501,0.493,506,1.365,551,1.006,563,1.38,564,1.365,575,1.006,674,1.399,678,1.51,688,1.529,735,2.079,750,3.11,792,1.399,796,2.079,798,2.67,803,1.115,804,0.452,849,2.022,856,0.91,859,2.335,860,2.851,861,1.234,872,0.812,916,2.1,921,1.51,922,2.552,924,1.861,940,1.006,981,2.079,985,2.1,997,1.006,1062,1.006,1075,3.35,1087,1.51,1209,3.11,1220,1.895,1569,3.35,1599,1.828,1704,3.11,1715,2.079,1791,2.079,1887,2.609,1946,3.777,1947,3.777,1948,3.777,1949,3.777,1950,3.777,1951,3.777,1952,4.739,1953,5.179,1954,3.777,1955,3.777,1956,3.777,1957,3.777,1958,3.777,1959,3.777,1960,3.777,1961,3.11,1962,3.11,1963,3.777,1964,3.777,1965,3.902,1966,3.777,1967,3.777,1968,3.777,1969,3.11,1970,3.11,1971,2.342,1972,3.777,1973,3.777,1974,2.67,1975,3.11,1976,3.777,1977,3.777,1978,1.674,1979,2.67,1980,2.67,1981,2.67]],["t/10",[16,0.184,21,0.06]],["b/10",[1,0.02,2,0.199,3,0.03,4,0.026,5,0.021,6,0.027,7,0.039,8,0.032,9,0.021,10,0.021,11,0.02,12,0.02,13,0.021,14,0.027,15,0.02,16,0.318,17,0.03,18,0.02,19,0.02,20,0.034,21,0.103,22,0.143,23,0.02,24,0.085,25,0.075,26,0.021,27,0.021,28,0.385,29,0.026,30,0.02,31,0.026,32,0.02,33,0.02,34,0.02,35,0.034,36,0.027,37,0.027,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,1.027,61,0.094,84,1.253,89,0.716,95,0.171,97,1.151,99,0.335,101,0.815,104,1.569,107,0.555,114,0.685,120,1.253,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.417,151,0.849,159,0.417,164,0.637,169,1.569,173,0.941,184,1.84,195,1.412,242,0.543,254,1.909,260,1.975,273,1.569,282,1.274,342,1.569,359,0.849,360,1.412,376,1.975,377,0.685,427,2.623,469,0.941,501,0.404,504,0.685,505,1.569,515,1.754,516,1.387,542,1.569,552,1.412,557,1.041,559,1.274,563,1.131,565,1.151,575,0.849,615,1.151,624,1.569,689,1.697,741,1.975,769,2.252,792,1.253,803,0.941,804,0.485,805,0.694,807,1.221,856,0.612,860,1.754,861,1.56,869,1.151,872,1.027,879,1.413,880,1.151,885,1.881,887,1.697,898,1.041,908,1.975,916,1.412,924,1.569,933,2.612,934,2.631,935,3.494,936,2.337,937,3.494,938,3.494,939,3.494,940,1.131,941,2.631,962,2.623,985,1.881,997,0.849,1003,2.623,1006,2.623,1013,3,1025,1.975,1038,1.412,1041,3.494,1049,1.412,1062,0.849,1064,2.628,1069,1.151,1075,2.252,1082,1.754,1083,1.754,1087,2.261,1095,1.754,1096,1.569,1097,1.754,1102,1.151,1104,1.274,1123,1.412,1124,0.849,1202,2.252,1212,2.252,1220,1.697,1231,1.151,1333,0.941,1337,1.534,1342,1.697,1363,1.975,1365,2.628,1369,1.975,1375,1.975,1387,2.623,1399,1.975,1403,1.041,1533,2.631,1542,2.623,1600,1.569,1774,1.412,1787,2.623,1791,1.754,1879,2.252,1886,1.274,1927,2.252,1928,2.623,1974,2.252,1975,2.623,1978,1.412,1979,3,1980,3.374,1981,3,1982,1.975,1983,3.186,1984,3.186,1985,3.186,1986,3.186,1987,3.186,1988,1.754,1989,3.186,1990,2.252,1991,3.186,1992,3.186,1993,3.186,1994,2.252,1995,3.186,1996,2.252,1997,3.186,1998,3.186,1999,3.186,2000,3.186,2001,3.186,2002,3.186,2003,3.494,2004,3.186,2005,2.623,2006,3.186,2007,4.245,2008,3.186,2009,2.623,2010,2.623,2011,3.186,2012,2.252,2013,3.186,2014,3.186,2015,4.245,2016,3.186,2017,4.245,2018,3.186,2019,4.245,2020,3.186,2021,3.186,2022,3.186,2023,3.186,2024,3.186,2025,3.186,2026,3.186,2027,2.252,2028,3.186,2029,3.186,2030,3.186,2031,3.186,2032,3.186,2033,3.186,2034,3.186,2035,2.623,2036,3.186,2037,3.374,2038,2.252,2039,3.186,2040,2.252,2041,2.252,2042,2.252,2043,3.186,2044,3.186,2045,4.245,2046,3.186,2047,3.186,2048,2.623,2049,2.623,2050,3.186,2051,3.186,2052,2.252,2053,3.186,2054,2.252,2055,3.186,2056,2.252,2057,4.245,2058,3.186,2059,3.186,2060,3.186,2061,1.412,2062,3.186,2063,3.186,2064,3.186,2065,3.186,2066,3.186,2067,3.186,2068,3.186,2069,3.186,2070,3.186,2071,3,2072,4.245,2073,3.186,2074,3.186,2075,3.186,2076,2.252,2077,3.186,2078,2.623,2079,2.623,2080,3.186,2081,3.186]],["t/11",[16,0.16,21,0.052,22,0.083]],["b/11",[1,0.02,2,0.179,3,0.026,4,0.033,5,0.027,6,0.021,7,0.039,8,0.03,9,0.021,10,0.021,11,0.02,12,0.026,13,0.021,14,0.021,15,0.02,16,0.301,17,0.026,18,0.03,19,0.02,20,0.03,21,0.094,22,0.157,23,0.02,24,0.085,25,0.075,26,0.021,27,0.027,28,0.385,29,0.03,30,0.02,31,0.032,32,0.02,33,0.02,34,0.02,35,0.02,36,0.027,37,0.021,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,0.685,57,1.15,61,0.108,88,1.411,93,0.763,95,0.178,99,0.376,101,0.611,104,1.568,107,0.555,112,2.25,114,0.685,120,1.565,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.416,148,1.15,151,0.848,159,0.416,161,1.568,162,1.253,163,0.94,172,2.09,173,1.409,184,1.725,194,0.611,199,0.685,204,1.386,215,1.13,254,1.273,262,2.999,287,2.25,317,1.411,342,1.568,362,1.017,377,0.913,404,1.15,443,1.15,478,1.973,495,1.017,501,0.303,548,1.973,559,1.273,565,1.533,617,1.973,678,1.273,687,0.848,718,1.973,724,3.493,728,2.621,729,2.25,741,1.973,767,1.04,803,0.94,804,0.505,805,0.693,807,1.017,861,1.386,870,1.568,872,0.685,913,1.568,921,1.908,929,2.999,985,1.411,1025,1.973,1038,1.411,1049,1.411,1062,0.848,1064,2.336,1080,1.973,1082,1.752,1083,1.752,1086,1.386,1087,1.908,1095,2.802,1096,1.568,1097,1.752,1104,1.273,1122,1.973,1123,2.115,1124,0.848,1166,2.336,1190,2.226,1219,2.621,1221,3.373,1227,2.621,1281,2.621,1332,1.04,1333,1.253,1336,2.63,1337,1.725,1340,2.621,1342,1.697,1347,2.621,1365,2.336,1366,1.973,1367,2.621,1369,1.973,1375,1.973,1399,1.973,1408,2.25,1476,3.929,1531,2.25,1610,1.568,1613,2.25,1622,1.752,1701,2.621,1757,1.568,1774,1.411,1806,2.25,1881,1.752,1887,2.627,1933,3.929,1974,2.25,1978,1.88,1979,2.999,1980,2.999,1981,2.999,2003,2.621,2009,3.493,2012,2.25,2035,2.621,2037,2.999,2040,2.25,2041,2.25,2042,2.25,2056,3.373,2061,1.411,2071,2.999,2076,3.373,2082,3.183,2083,3.183,2084,2.336,2085,3.183,2086,2.621,2087,3.183,2088,3.598,2089,3.183,2090,3.183,2091,3.183,2092,3.183,2093,3.183,2094,3.183,2095,3.183,2096,3.183,2097,3.183,2098,4.243,2099,3.183,2100,3.183,2101,3.183,2102,3.183,2103,3.183,2104,2.63,2105,3.183,2106,2.63,2107,2.63,2108,2.63,2109,2.958,2110,2.63,2111,2.63,2112,3.183,2113,2.25,2114,3.373,2115,3.183,2116,5.09,2117,3.183,2118,4.243,2119,5.09,2120,4.243,2121,4.243,2122,4.243,2123,3.183,2124,3.183,2125,3.183,2126,3.183,2127,2.25,2128,1.752,2129,2.621,2130,2.25,2131,3.183,2132,3.929,2133,3.183,2134,3.183,2135,3.183,2136,3.183,2137,3.183,2138,3.183,2139,3.183,2140,2.25,2141,3.183,2142,2.621,2143,3.183,2144,2.25,2145,2.621,2146,3.183,2147,2.621,2148,3.183,2149,4.243,2150,2.621,2151,3.183,2152,3.183,2153,2.25,2154,3.183,2155,3.183,2156,2.621,2157,3.183,2158,2.621,2159,3.183,2160,3.183,2161,3.183,2162,3.183,2163,4.243,2164,4.243,2165,2.621,2166,2.621,2167,3.493,2168,2.621,2169,3.183,2170,3.183,2171,2.621,2172,3.183,2173,3.183,2174,3.183]],["t/12",[17,0.018,18,0.018,19,0.018]],["b/12",[1,0.02,2,0.223,3,0.032,4,0.03,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.027,12,0.027,13,0.021,14,0.021,15,0.027,16,0.329,17,0.036,18,0.034,19,0.033,20,0.02,21,0.076,22,0.154,23,0.02,24,0.091,25,0.076,26,0.021,27,0.021,28,0.387,29,0.027,30,0.03,31,0.027,32,0.02,33,0.027,34,0.02,35,0.02,36,0.028,37,0.028,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.064,44,0.064,45,0.064,46,0.085,47,0.11,48,0.11,49,0.11,50,0.064,51,0.11,52,0.701,60,1.178,61,0.117,63,3.549,69,1.034,71,2.021,89,0.647,94,1.105,95,0.145,99,0.381,100,1.606,107,0.632,108,1.034,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.028,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,144,1.445,151,0.869,159,0.752,162,0.963,167,2.124,175,0.963,176,1.273,194,0.828,196,1.409,204,1.065,215,1.287,242,0.556,359,0.869,360,1.445,403,2.021,404,1.178,443,1.558,447,1.795,460,2.305,469,1.273,480,2.684,481,3.549,495,1.034,501,0.411,505,1.606,515,2.373,516,1.065,551,0.869,575,0.869,601,2.021,673,1.445,674,0.963,677,2.373,682,2.14,686,1.304,687,0.869,707,2.021,715,1.445,729,2.305,732,1.795,738,1.606,767,1.065,792,1.273,796,2.658,803,0.963,804,0.411,805,0.718,807,1.316,861,1.065,869,1.558,872,1.222,879,1.514,880,1.178,882,1.445,887,1.724,893,1.795,894,1.606,924,2.124,925,2.305,927,2.305,934,2.021,953,2.124,958,1.304,974,2.684,997,0.869,1011,1.606,1065,1.178,1086,1.065,1087,1.304,1166,1.795,1190,1.931,1218,2.305,1339,2.021,1346,2.021,1420,1.795,1433,2.684,1486,2.684,1536,2.305,1586,1.304,1610,1.606,1622,1.795,1640,2.305,1791,2.658,1847,2.305,1873,2.684,1880,2.305,1903,2.672,1969,2.684,1982,2.672,1996,2.305,2104,2.672,2106,2.021,2107,2.021,2108,2.021,2109,2.021,2110,2.021,2111,2.021,2175,3.26,2176,3.26,2177,4.519,2178,3.26,2179,3.26,2180,3.26,2181,3.26,2182,3.26,2183,2.305,2184,2.305,2185,3.26,2186,2.684,2187,2.684,2188,3.26,2189,3.26,2190,3.26,2191,4.311,2192,4.399,2193,3.26,2194,3.26,2195,2.305,2196,3.26,2197,3.26,2198,3.26,2199,3.26,2200,3.26,2201,3.26,2202,2.305,2203,3.26,2204,3.26,2205,2.684,2206,3.26,2207,3.26,2208,3.26,2209,3.26,2210,3.26,2211,2.684,2212,3.26,2213,3.26,2214,3.26,2215,3.26,2216,3.26,2217,3.047,2218,2.684,2219,3.26,2220,3.26,2221,3.26,2222,3.26,2223,3.26,2224,3.26,2225,3.26,2226,3.26,2227,3.26,2228,3.26,2229,3.26,2230,2.305,2231,3.26,2232,3.26,2233,3.26,2234,3.26,2235,2.305,2236,3.26,2237,2.684,2238,4.311,2239,3.26,2240,2.305,2241,4.311,2242,4.311,2243,3.26,2244,3.26,2245,3.26,2246,3.26,2247,3.26]],["t/13",[24,0.06,25,0.06]],["b/13",[1,0.018,2,0.219,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.028,9,0.019,10,0.019,11,0.018,12,0.018,13,0.019,14,0.029,15,0.018,16,0.293,17,0.035,18,0.03,19,0.036,20,0.025,21,0.07,22,0.137,23,0.018,24,0.099,25,0.098,26,0.019,27,0.019,28,0.376,29,0.025,30,0.018,31,0.018,32,0.018,33,0.018,34,0.018,35,0.018,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.078,47,0.097,48,0.097,49,0.097,50,0.057,51,0.097,52,1.138,57,1.04,61,0.109,69,0.69,73,2.369,88,1.275,89,0.432,92,1.275,93,1.171,94,0.619,95,0.186,99,0.227,101,0.87,103,1.056,107,0.639,108,0.69,109,1.584,114,0.619,121,0.619,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.032,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.518,144,2.164,159,0.593,164,0.594,169,1.952,172,1.418,184,1.04,194,0.761,196,0.94,199,1.138,246,1.04,268,2.345,273,1.418,329,3.731,359,0.767,363,2.034,377,0.619,390,2.034,402,1.418,403,1.784,404,1.04,443,1.04,445,2.369,465,1.784,469,1.512,471,1.418,501,0.432,506,1.04,516,0.94,524,0.85,551,1.301,563,0.767,564,1.432,567,1.784,601,1.784,608,1.584,611,1.275,615,1.04,660,1.04,671,1.418,673,1.275,675,1.784,679,2.034,682,1.275,686,1.151,687,0.767,688,1.338,730,0.94,738,1.418,785,2.523,789,2.801,792,1.17,800,2.034,804,0.465,805,0.742,809,1.784,849,1.638,856,0.983,859,1.418,860,1.584,861,1.595,869,1.638,870,1.952,872,1.188,879,1.301,880,1.04,885,2.269,908,2.456,913,1.952,921,1.151,927,2.034,930,1.784,943,4.357,944,4.25,945,2.456,946,2.034,947,3.203,948,2.034,949,2.034,951,2.034,953,2.823,954,3.628,958,1.151,961,2.034,971,2.369,975,3.451,997,1.056,1001,2.801,1005,2.034,1012,2.369,1036,1.584,1048,2.369,1062,1.056,1089,2.209,1123,1.275,1210,1.275,1220,1.151,1389,2.034,1494,2.801,1585,3.262,1599,1.295,1600,1.418,1636,2.034,1724,1.418,1755,2.034,1774,1.275,1820,2.233,1822,2.164,1857,1.584,1886,1.151,1961,2.369,1971,1.784,1982,1.784,1988,1.584,1990,3.203,1994,2.034,2005,2.369,2052,2.034,2061,1.275,2130,2.034,2177,2.369,2192,2.369,2211,2.369,2230,2.034,2235,2.034,2248,2.878,2249,2.878,2250,2.878,2251,2.878,2252,2.878,2253,2.878,2254,1.784,2255,2.233,2256,2.369,2257,2.369,2258,2.369,2259,2.369,2260,2.369,2261,2.878,2262,2.878,2263,2.878,2264,2.878,2265,2.878,2266,2.878,2267,2.878,2268,2.878,2269,2.878,2270,2.369,2271,2.369,2272,2.369,2273,2.878,2274,3.963,2275,4.532,2276,3.963,2277,2.369,2278,2.878,2279,2.878,2280,3.262,2281,2.878,2282,2.369,2283,3.963,2284,2.369,2285,2.878,2286,2.878,2287,2.878,2288,2.369,2289,2.878,2290,2.878,2291,3.963,2292,3.963,2293,2.878,2294,4.532,2295,2.878,2296,2.878,2297,2.878,2298,2.878,2299,2.878,2300,2.878,2301,2.878,2302,2.878,2303,2.878,2304,2.878,2305,2.878,2306,2.369,2307,2.369,2308,2.369,2309,2.369,2310,3.262,2311,2.369,2312,2.369,2313,2.878,2314,2.878,2315,2.878,2316,2.369,2317,2.369,2318,4.883,2319,3.963,2320,2.369,2321,3.963,2322,2.878,2323,2.878,2324,2.878,2325,2.878,2326,2.878,2327,2.878,2328,2.878,2329,2.878,2330,2.878,2331,2.878,2332,2.878,2333,2.878]],["t/14",[22,0.083,24,0.052,25,0.052]],["b/14",[1,0.021,2,0.187,3,0.028,4,0.033,5,0.022,6,0.029,7,0.039,8,0.028,9,0.022,10,0.022,11,0.021,12,0.021,13,0.022,14,0.029,15,0.021,16,0.323,17,0.031,18,0.021,19,0.021,20,0.031,21,0.079,22,0.148,23,0.028,24,0.093,25,0.103,26,0.022,27,0.022,28,0.391,29,0.021,30,0.021,31,0.021,32,0.021,33,0.021,34,0.021,35,0.021,36,0.035,37,0.022,38,0.021,39,0.021,40,0.021,41,0.022,42,0.021,43,0.068,44,0.068,45,0.068,46,0.088,47,0.116,48,0.116,49,0.116,50,0.068,51,0.116,52,1.17,61,0.108,85,1.699,87,0.919,93,0.827,94,0.742,95,0.15,97,1.246,107,0.451,108,0.827,114,0.962,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.022,134,0.022,135,0.022,137,0.451,164,0.517,167,1.699,176,1.018,194,0.859,242,0.587,398,2.437,467,1.699,468,2.437,501,0.329,550,1.528,551,0.919,552,1.528,611,1.528,673,1.528,675,2.137,687,0.919,730,1.127,785,1.699,792,1.018,804,0.5,805,0.76,807,0.827,859,1.699,872,0.742,879,0.919,880,1.246,893,1.898,894,1.699,930,2.137,944,3.16,945,3.456,946,3.16,947,3.845,948,3.16,949,2.437,951,3.508,953,2.68,954,3.518,958,1.379,961,2.437,963,2.838,975,2.437,987,2.838,990,2.838,991,2.437,993,2.838,995,2.838,999,2.838,1000,2.838,1001,2.437,1005,2.437,1008,2.838,1009,2.838,1024,1.528,1062,0.919,1089,1.379,1123,1.528,1220,1.788,1603,2.137,1607,3.16,1610,1.699,1694,2.838,1774,1.528,1791,1.898,1820,1.699,1822,1.981,1867,2.437,1874,2.838,1962,4.323,1978,1.981,1982,2.137,1990,3.508,1994,2.437,2012,3.16,2056,3.16,2061,1.528,2086,2.838,2130,2.437,2144,2.437,2230,3.16,2235,2.437,2254,2.137,2255,1.699,2256,2.838,2257,2.838,2258,2.838,2259,2.838,2260,2.838,2280,3.681,2306,2.838,2307,3.681,2308,2.838,2309,3.681,2310,3.681,2311,3.681,2312,2.838,2334,3.448,2335,5.574,2336,3.448,2337,3.448,2338,4.471,2339,2.838,2340,3.448,2341,3.448,2342,4.471,2343,3.448,2344,3.448,2345,3.448,2346,3.448,2347,3.448,2348,3.448,2349,4.471,2350,4.471,2351,4.471,2352,3.448,2353,3.448,2354,3.448,2355,2.838,2356,3.448,2357,3.448,2358,3.448,2359,3.448,2360,3.448,2361,3.448,2362,2.137,2363,3.681,2364,3.448,2365,4.471,2366,4.471,2367,3.448,2368,3.448,2369,3.448,2370,1.699,2371,3.448,2372,3.448,2373,3.448,2374,3.448,2375,3.448,2376,3.448,2377,3.448,2378,2.437,2379,3.448,2380,2.437,2381,3.448]],["t/15",[16,0.184,20,0.021]],["b/15",[1,0.018,2,0.198,3,0.028,4,0.025,5,0.018,6,0.018,7,0.039,8,0.03,9,0.018,10,0.018,11,0.018,12,0.028,13,0.018,14,0.025,15,0.018,16,0.326,17,0.032,18,0.018,19,0.018,20,0.037,21,0.086,22,0.157,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.375,29,0.025,30,0.018,31,0.033,32,0.018,33,0.018,34,0.018,35,0.025,36,0.025,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.056,44,0.056,45,0.056,46,0.078,47,0.096,48,0.096,49,0.096,50,0.056,51,0.096,52,0.612,61,0.115,87,0.758,89,0.765,93,0.682,94,1.097,95,0.171,96,0.845,99,0.446,101,0.546,114,0.845,121,1.134,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,159,0.589,164,0.59,171,2.342,184,1.028,199,0.612,204,1.587,215,1.405,254,2.236,262,2.011,263,1.763,268,1.742,291,1.572,292,2.342,359,0.758,362,0.682,377,0.612,429,2.011,462,1.763,484,1.566,495,1.165,501,0.271,505,1.401,550,1.261,563,0.758,565,1.628,603,1.261,615,1.028,617,1.763,675,3.012,687,1.047,689,1.137,707,1.763,715,2.337,731,2.342,767,0.929,796,1.566,803,0.84,804,0.486,805,0.667,856,0.546,860,1.566,861,1.868,862,2.011,869,1.628,894,1.936,898,0.929,900,1.763,921,1.137,940,1.2,972,1.763,997,0.758,1025,3.012,1033,2.342,1049,1.742,1062,1.047,1064,1.566,1065,1.028,1067,2.011,1069,1.628,1078,1.763,1079,1.801,1080,1.763,1081,2.778,1082,2.674,1083,2.674,1086,1.666,1087,2.039,1089,1.137,1090,2.011,1093,2.011,1094,2.011,1095,2.479,1096,2.219,1097,2.674,1098,2.011,1099,2.011,1102,1.628,1104,1.801,1124,0.758,1166,3.032,1190,1.801,1220,1.137,1231,1.028,1333,1.161,1336,1.763,1337,1.756,1341,2.778,1342,1.572,1346,2.437,1350,2.342,1352,3.236,1365,1.566,1366,2.437,1369,2.437,1375,2.437,1376,2.342,1379,2.164,1381,2.342,1390,1.566,1399,1.763,1403,0.929,1408,2.011,1516,2.011,1520,2.792,1546,1.763,1586,1.137,1600,1.401,1612,2.164,1638,2.011,1649,2.778,1774,1.742,1831,1.261,1880,2.011,1881,1.566,1887,2.479,1903,2.437,1970,2.342,1971,1.763,1978,1.261,1996,2.011,2010,3.236,2037,3.434,2038,2.778,2040,2.011,2041,2.778,2042,2.778,2049,2.342,2052,2.011,2071,2.778,2076,2.011,2084,1.566,2088,2.011,2104,2.437,2106,3.012,2107,3.012,2108,3.012,2109,3.161,2110,3.012,2111,3.012,2113,2.778,2114,2.011,2132,3.236,2142,2.342,2145,2.342,2147,2.342,2150,2.342,2153,2.011,2156,2.342,2158,2.342,2165,3.236,2166,2.342,2167,3.236,2168,2.342,2171,2.342,2183,2.778,2184,2.778,2202,2.011,2217,2.011,2382,2.844,2383,2.844,2384,2.844,2385,3.93,2386,2.844,2387,2.844,2388,2.844,2389,2.844,2390,2.844,2391,2.844,2392,2.844,2393,2.342,2394,3.93,2395,2.844,2396,3.93,2397,2.844,2398,2.844,2399,2.844,2400,2.844,2401,2.844,2402,2.844,2403,2.844,2404,2.844,2405,2.844,2406,2.844,2407,2.844,2408,2.844,2409,2.844,2410,2.342,2411,3.236,2412,2.011,2413,2.011,2414,3.93,2415,2.844,2416,3.93,2417,2.844,2418,2.844,2419,2.844,2420,2.844,2421,1.401,2422,2.844,2423,2.844,2424,2.844,2425,2.844,2426,2.844,2427,2.844,2428,2.844,2429,2.844,2430,2.342,2431,2.844,2432,3.236,2433,2.844,2434,2.844,2435,2.844,2436,2.844,2437,2.844,2438,2.844,2439,2.342]],["t/16",[3,0.021,4,0.021]],["b/16",[1,0.028,2,0.225,3,0.037,4,0.037,5,0.022,6,0.022,7,0.038,8,0.031,9,0.022,10,0.022,11,0.028,12,0.028,13,0.032,14,0.035,15,0.028,16,0.32,17,0.028,18,0.028,19,0.028,20,0.034,21,0.093,22,0.153,23,0.028,24,0.105,25,0.097,26,0.034,27,0.022,28,0.414,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.035,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,43,0.089,44,0.068,45,0.068,46,0.068,50,0.068,57,1.62,61,0.11,62,2.446,87,1.324,89,0.519,103,1.194,117,1.705,120,1.022,121,0.744,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.029,134,0.022,135,0.022,136,2.145,137,0.586,146,3.689,150,2.848,152,3.689,154,3.081,159,0.586,163,1.022,164,0.789,175,1.022,194,0.664,195,1.533,242,0.764,246,2.052,282,1.384,360,1.986,363,3.514,389,2.467,391,3.514,397,2.446,404,1.25,440,2.467,469,1.022,471,1.705,472,2.446,484,1.905,501,0.474,504,0.964,505,1.705,541,2.446,542,2.208,548,3.081,550,1.533,551,0.922,557,1.464,558,2.145,561,3.689,563,0.922,565,1.25,577,1.905,603,1.533,615,1.25,624,1.705,660,1.25,679,2.446,708,2.848,759,2.446,760,2.848,769,2.446,785,1.705,807,1.075,856,0.954,870,1.705,901,2.848,916,1.986,922,2.208,933,1.705,936,2.467,980,2.145,1011,1.705,1065,1.25,1148,2.894,1190,1.384,1220,1.384,1231,1.25,1332,1.131,1349,2.446,1363,2.145,1494,2.446,1518,2.446,1528,2.848,1534,2.848,1543,2.848,1572,2.208,1599,1.131,1622,1.905,1648,2.145,1718,2.848,1757,1.705,1760,2.848,1808,2.778,1886,1.384,1912,2.145,1925,3.168,1988,1.905,2027,2.446,2061,1.533,2084,1.905,2284,2.848,2355,2.848,2370,2.449,2440,2.446,2441,3.46,2442,2.446,2443,3.46,2444,3.46,2445,3.46,2446,3.46,2447,3.46,2448,3.46,2449,4.481,2450,2.446,2451,3.46,2452,3.46,2453,3.46,2454,3.46,2455,3.46,2456,3.46,2457,3.46,2458,3.46,2459,4.971,2460,2.848,2461,3.46,2462,3.46,2463,2.848,2464,3.46,2465,4.481,2466,3.46,2467,3.46,2468,3.46,2469,2.446,2470,2.446,2471,2.446,2472,2.848,2473,4.481,2474,2.446,2475,3.46,2476,3.46,2477,3.46,2478,3.46,2479,3.46,2480,3.46,2481,3.46,2482,3.46]],["t/17",[28,0.177,35,0.016,1808,1.615,2474,1.841]],["b/17",[1,0.021,2,0.219,3,0.027,4,0.027,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.021,12,0.021,13,0.028,14,0.028,15,0.021,16,0.263,17,0.027,18,0.021,19,0.021,20,0.021,21,0.077,22,0.165,23,0.021,24,0.086,25,0.077,26,0.021,27,0.021,28,0.392,29,0.032,30,0.032,31,0.027,32,0.021,33,0.021,34,0.021,35,0.027,36,0.031,37,0.021,38,0.021,39,0.021,40,0.021,41,0.021,42,0.021,43,0.065,44,0.065,45,0.065,46,0.086,47,0.111,48,0.111,49,0.111,50,0.065,51,0.111,61,0.102,69,1.239,77,3.074,84,0.976,95,0.18,99,0.434,101,0.835,104,1.628,107,0.432,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,151,1.295,153,2.336,165,0.88,174,0.976,175,0.976,178,3.074,196,1.08,248,2.143,263,2.696,289,1.194,290,1.628,291,1.321,311,1.321,362,1.239,410,2.696,448,2.336,469,0.976,495,0.793,504,0.711,551,1.376,565,1.572,575,0.88,610,2.049,687,0.88,715,1.465,735,1.819,795,2.336,798,2.336,804,0.543,899,4.418,900,3.014,918,1.321,953,2.395,958,1.321,1062,0.88,1104,1.321,1123,1.465,1124,1.159,1332,1.421,1333,0.976,1336,2.049,1337,1.572,1380,3.074,1403,1.421,1599,1.688,1715,1.819,1719,2.721,1724,1.628,1755,2.336,1757,1.628,1808,3.68,1811,2.336,1815,2.721,1816,2.721,1820,1.628,1822,1.927,1827,2.721,1831,1.465,1832,2.721,1839,2.721,1841,2.721,1887,1.819,2254,2.049,2255,2.143,2421,1.628,2474,3.074,2483,3.305,2484,3.305,2485,3.305,2486,3.305,2487,3.305,2488,3.305,2489,4.349,2490,4.349,2491,4.349,2492,4.349,2493,4.349,2494,3.305,2495,3.305,2496,3.305,2497,3.305,2498,3.305,2499,3.305,2500,3.305,2501,3.305,2502,3.305,2503,3.305,2504,4.349,2505,3.58,2506,3.305,2507,3.305,2508,3.305,2509,4.349,2510,3.305,2511,3.305,2512,3.305,2513,3.58,2514,3.305,2515,4.349,2516,3.305,2517,3.305,2518,3.305,2519,3.305,2520,4.861,2521,3.305,2522,3.305,2523,3.305,2524,3.305,2525,3.305,2526,1.628,2527,3.305,2528,3.305,2529,3.305,2530,3.305,2531,3.305,2532,3.305,2533,3.305,2534,3.305,2535,3.305,2536,3.305,2537,4.349,2538,3.305,2539,3.305,2540,3.305,2541,4.349,2542,3.305,2543,3.305,2544,3.305,2545,3.305,2546,2.721,2547,2.721,2548,3.305,2549,3.305,2550,4.861,2551,3.305,2552,3.305,2553,3.305,2554,3.305,2555,3.305,2556,3.305,2557,3.305,2558,3.305,2559,3.305,2560,3.305,2561,3.305,2562,3.305,2563,3.305,2564,3.305,2565,3.305,2566,3.305,2567,4.349,2568,3.305,2569,3.305,2570,5.165,2571,3.305,2572,3.305,2573,4.349,2574,4.349,2575,3.305,2576,3.305,2577,3.305,2578,3.305,2579,3.305,2580,3.305,2581,3.305,2582,3.305,2583,3.305,2584,3.305,2585,4.861,2586,3.305]],["t/18",[22,0.096,28,0.231]],["b/18",[1,0.017,2,0.215,3,0.017,4,0.032,5,0.018,6,0.031,7,0.039,8,0.03,9,0.018,10,0.018,11,0.017,12,0.017,13,0.018,14,0.025,15,0.017,16,0.238,17,0.017,18,0.017,19,0.017,20,0.017,21,0.068,22,0.171,23,0.017,24,0.085,25,0.068,26,0.018,27,0.025,28,0.377,29,0.036,30,0.036,31,0.034,32,0.017,33,0.03,34,0.031,35,0.017,36,0.025,37,0.018,38,0.017,39,0.017,40,0.017,41,0.018,42,0.017,43,0.054,44,0.054,45,0.054,46,0.075,47,0.091,48,0.128,49,0.091,50,0.054,51,0.091,52,0.82,59,2.362,60,1.589,61,0.116,69,1.143,79,1.34,93,0.652,94,1.025,95,0.128,99,0.471,100,1.34,101,0.522,103,0.725,107,0.356,108,0.652,109,1.497,117,1.877,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,136,1.686,137,0.498,149,1.923,151,1.015,162,1.125,163,0.803,164,0.66,165,1.172,173,0.803,174,1.299,176,1.481,178,1.923,196,1.245,199,1.172,202,2.693,242,0.649,244,1.686,246,1.813,248,1.34,251,2.097,254,1.088,261,1.686,268,1.205,273,1.34,279,2.239,280,1.923,281,2.167,282,1.088,287,2.693,289,0.983,290,1.34,291,1.088,311,1.905,317,1.205,359,0.725,360,1.949,361,1.497,380,2.239,389,1.497,410,2.726,429,1.923,443,0.983,462,1.686,467,1.877,484,2.421,495,1.143,501,0.259,504,0.585,515,1.497,516,0.889,550,1.689,551,0.725,552,1.689,557,1.699,559,1.524,560,1.923,573,2.362,577,2.097,609,1.34,611,1.689,615,0.983,620,1.923,624,1.34,673,1.205,686,1.088,689,1.759,741,2.362,804,0.549,805,0.575,807,1.372,898,0.889,908,1.686,954,1.686,980,1.686,1024,1.205,1062,1.015,1089,1.905,1096,2.167,1124,1.015,1174,2.954,1333,0.803,1366,2.726,1531,1.923,1546,1.686,1569,1.923,1577,2.239,1600,1.34,1724,1.877,1840,3.621,1882,3.109,1886,1.088,1924,2.239,1971,1.686,1988,1.497,2127,1.923,2153,2.693,2362,1.686,2370,1.34,2393,3.137,2410,2.239,2450,1.923,2463,2.239,2526,1.34,2587,2.72,2588,2.72,2589,2.72,2590,2.72,2591,2.72,2592,2.72,2593,2.72,2594,2.239,2595,2.72,2596,2.72,2597,4.765,2598,2.72,2599,2.72,2600,2.72,2601,2.72,2602,2.72,2603,2.72,2604,2.72,2605,2.72,2606,2.72,2607,2.72,2608,2.72,2609,2.72,2610,2.72,2611,2.72,2612,2.72,2613,3.81,2614,3.81,2615,2.72,2616,2.72,2617,2.72,2618,2.72,2619,2.72,2620,2.72,2621,2.72,2622,2.72,2623,2.72,2624,2.72,2625,4.398,2626,3.81,2627,2.72,2628,3.81,2629,3.81,2630,2.72,2631,2.72,2632,2.72,2633,2.72,2634,4.485,2635,4.398,2636,4.398,2637,3.621,2638,3.109,2639,4.398,2640,2.72,2641,2.239,2642,2.72,2643,2.239,2644,3.621,2645,2.72,2646,2.72,2647,2.72,2648,2.72,2649,2.72,2650,2.72,2651,2.72,2652,2.72,2653,2.72,2654,2.72,2655,2.72,2656,2.72,2657,2.72,2658,2.239,2659,2.72,2660,2.72,2661,2.72,2662,2.72,2663,2.72,2664,2.72,2665,2.72,2666,2.72,2667,2.72,2668,2.72,2669,2.72,2670,2.72,2671,2.72,2672,2.72,2673,2.72,2674,2.72,2675,2.72,2676,2.72,2677,2.72,2678,2.72,2679,2.72,2680,2.72,2681,2.72,2682,2.72,2683,2.72,2684,2.72,2685,2.72,2686,2.72,2687,2.72,2688,2.72,2689,2.72,2690,2.72,2691,3.81,2692,2.72,2693,3.81,2694,2.72,2695,2.72,2696,2.72,2697,2.72,2698,2.72,2699,2.72,2700,2.72,2701,2.72,2702,2.72,2703,2.72,2704,2.72,2705,2.72,2706,2.72,2707,3.81,2708,2.72,2709,2.72,2710,2.72,2711,2.72,2712,2.72]],["t/19",[28,0.177,29,0.016,856,0.5,1231,0.941]],["b/19",[1,0.016,2,0.2,3,0.03,4,0.026,5,0.016,6,0.023,7,0.039,8,0.032,9,0.016,10,0.016,11,0.022,12,0.022,13,0.016,14,0.016,15,0.016,16,0.288,17,0.026,18,0.022,19,0.022,20,0.016,21,0.064,22,0.147,23,0.016,24,0.075,25,0.064,26,0.016,27,0.016,28,0.375,29,0.033,30,0.022,31,0.022,32,0.016,33,0.022,34,0.022,35,0.022,36,0.027,37,0.016,38,0.016,39,0.016,40,0.016,41,0.016,42,0.016,43,0.049,44,0.049,45,0.049,46,0.071,47,0.084,48,0.121,49,0.084,50,0.049,51,0.084,52,0.538,61,0.11,71,1.552,79,1.233,84,0.739,87,1.119,89,0.376,92,1.109,93,0.6,94,0.538,95,0.183,96,0.773,99,0.331,101,0.933,103,0.667,107,0.327,108,1.008,114,0.538,120,0.739,121,0.773,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.636,144,1.109,148,0.905,151,1.119,159,0.47,161,2.07,163,1.061,164,0.689,165,0.667,166,1.378,173,0.739,174,1.061,175,1.061,176,1.061,179,2.97,180,2.97,181,2.97,182,2.97,183,2.97,184,1.518,185,2.395,186,2.97,187,2.97,188,2.97,189,2.97,190,2.97,191,3.838,192,2.604,194,0.481,196,1.174,197,2.061,199,1.285,200,2.785,201,2.061,202,1.769,203,2.061,204,1.373,205,2.061,206,2.061,207,2.061,208,2.061,209,2.061,210,2.061,211,2.957,212,2.061,213,2.061,214,2.061,215,0.957,216,2.957,217,2.957,218,2.061,219,2.061,220,2.957,221,2.957,222,3.459,223,2.061,224,2.061,225,2.061,226,2.061,227,2.061,228,2.061,229,2.061,230,1.769,242,0.426,246,0.905,282,1.001,284,2.061,289,1.659,290,1.77,291,1.001,294,2.061,296,2.061,298,2.061,299,2.061,302,2.061,304,2.061,305,2.061,306,2.061,309,2.061,310,2.061,311,1.001,314,2.061,316,2.061,317,1.109,319,2.061,321,2.061,324,2.061,326,2.061,327,2.061,328,2.061,330,2.061,333,2.061,335,2.061,336,3.245,339,2.061,341,2.061,342,1.233,344,2.061,346,2.061,347,1.769,350,2.061,352,2.061,353,2.061,355,2.061,357,2.061,361,1.378,362,1.25,372,1.769,377,0.538,469,1.241,478,1.552,501,0.238,504,0.538,506,0.905,515,1.378,516,0.818,557,1.5,558,1.552,559,1.001,564,0.905,573,1.552,575,0.667,585,2.061,609,1.233,660,1.298,671,1.233,673,1.109,674,0.739,678,1.001,682,1.592,685,1.769,686,1.001,688,1.061,706,2.061,730,1.174,732,1.378,737,2.061,771,1.769,772,1.552,774,2.061,804,0.4,805,0.754,807,1.101,849,1.298,856,1.024,869,0.905,870,1.233,895,2.061,918,1.001,940,0.957,997,0.667,1017,2.604,1019,2.97,1021,3.779,1079,1.68,1089,1.001,1122,2.604,1124,0.667,1155,2.061,1231,1.883,1332,0.818,1333,1.356,1363,1.552,1380,1.769,1392,2.527,1395,3.245,1403,1.174,1498,1.769,1502,1.769,1572,1.233,1591,1.977,1593,2.227,1647,2.061,1702,2.061,1703,2.061,1720,1.769,1724,1.77,1753,1.769,1820,1.77,1822,1.862,1831,1.592,1879,1.769,1893,1.769,1914,2.061,1917,2.061,1925,1.769,1938,1.552,1988,1.378,2113,1.769,2128,1.378,2144,1.769,2186,2.061,2202,1.769,2255,2.07,2282,2.061,2362,1.552,2370,1.233,2378,1.769,2380,3.245,2421,1.77,2450,1.769,2505,2.061,2594,2.061,2713,2.503,2714,2.503,2715,3.592,2716,2.503,2717,2.503,2718,2.503,2719,2.503,2720,2.503,2721,2.503,2722,2.061,2723,2.503,2724,2.503,2725,2.503,2726,2.503,2727,2.061,2728,2.503,2729,2.503,2730,2.503,2731,2.957,2732,2.503,2733,2.503,2734,3.592,2735,1.769,2736,2.503,2737,2.503,2738,2.503,2739,3.592,2740,2.503,2741,2.503,2742,4.861,2743,2.503,2744,2.503,2745,2.503,2746,3.592,2747,3.245,2748,2.503,2749,1.769,2750,3.592,2751,2.503,2752,2.061,2753,2.503,2754,2.503,2755,2.503,2756,3.592,2757,3.592,2758,3.592,2759,3.592,2760,4.201,2761,2.503,2762,2.503,2763,2.503,2764,2.503,2765,2.503,2766,2.503,2767,2.503,2768,2.503,2769,2.503,2770,2.503,2771,2.503,2772,2.061,2773,2.061,2774,2.061,2775,2.061,2776,3.459,2777,2.503,2778,2.061,2779,2.061,2780,2.061,2781,2.061,2782,4.591,2783,2.957,2784,2.503,2785,2.503,2786,2.503,2787,2.503,2788,2.503,2789,2.503,2790,2.503,2791,2.503,2792,2.503,2793,2.503,2794,2.503,2795,2.503,2796,2.503,2797,2.503,2798,2.503,2799,2.503,2800,2.503,2801,2.503,2802,2.503]],["t/20",[28,0.131,30,0.012,856,0.37,916,0.855,1761,1.363,1912,1.195,2470,1.363]],["b/20",[1,0.024,2,0.21,3,0.024,4,0.024,5,0.014,6,0.014,7,0.039,8,0.031,9,0.014,10,0.014,11,0.014,12,0.02,13,0.014,14,0.014,15,0.014,16,0.289,17,0.031,18,0.031,19,0.024,20,0.014,21,0.058,22,0.144,23,0.014,24,0.069,25,0.069,26,0.014,27,0.014,28,0.357,29,0.024,30,0.024,31,0.02,32,0.014,33,0.02,34,0.024,35,0.014,36,0.021,37,0.014,38,0.014,39,0.014,40,0.014,41,0.014,42,0.014,43,0.043,44,0.043,45,0.064,46,0.064,47,0.073,48,0.073,49,0.073,50,0.043,51,0.073,52,0.7,59,1.355,61,0.113,69,1.032,72,1.799,74,1.545,79,1.077,83,1.545,84,0.961,86,1.799,87,1.147,88,1.442,89,0.488,93,0.524,94,0.47,95,0.19,96,0.836,97,0.79,99,0.172,101,0.746,103,0.582,104,1.077,107,0.631,108,0.524,114,0.47,117,1.603,123,0.014,124,0.014,125,0.014,126,0.014,127,0.014,128,0.014,129,0.014,130,0.014,131,0.014,132,0.014,133,0.014,134,0.014,135,0.014,137,0.508,148,1.404,151,1.035,159,0.508,162,0.645,163,1.147,164,0.583,165,0.582,167,1.077,170,1.545,173,1.147,175,1.271,194,0.625,195,0.969,196,1.406,199,1.104,215,0.582,242,0.372,243,1.545,244,1.355,251,2.533,263,1.355,281,1.077,289,1.555,290,1.603,291,0.874,311,0.874,317,0.969,359,0.582,360,0.969,361,1.791,362,0.78,372,1.545,377,0.47,381,1.545,388,1.799,396,1.799,402,1.914,404,0.79,410,2.017,443,0.79,467,1.077,477,1.077,495,1.231,501,0.46,504,0.7,514,1.545,524,0.645,550,0.969,551,0.582,552,1.442,557,1.063,559,0.874,563,0.582,564,1.176,567,1.355,601,1.355,615,1.555,624,1.077,660,0.79,671,1.077,677,2.533,682,0.969,687,0.582,695,1.545,696,1.799,703,1.355,738,1.077,764,1.355,767,1.063,792,0.961,796,1.203,803,0.645,804,0.46,805,0.79,807,1.258,841,2.678,849,1.555,856,0.746,857,1.791,862,1.545,872,1.075,879,1.147,885,2.325,887,2.135,893,1.203,894,1.077,896,1.799,898,1.27,900,2.017,906,1.799,909,1.799,912,1.203,916,1.722,918,1.721,925,1.545,933,1.077,936,2.139,940,0.582,945,2.409,958,0.874,997,0.582,1011,1.077,1024,0.969,1062,0.867,1065,0.79,1079,0.874,1086,0.714,1110,1.799,1124,0.582,1176,4.779,1199,1.791,1204,1.545,1210,1.442,1213,1.799,1221,2.299,1332,1.063,1333,1.271,1337,1.743,1339,1.355,1342,1.301,1364,1.545,1379,2.369,1390,1.203,1392,1.203,1403,1.063,1410,2.017,1420,2.939,1491,1.799,1516,2.299,1520,2.668,1529,1.203,1530,1.355,1572,1.077,1586,1.554,1599,0.714,1602,3.629,1612,1.791,1616,1.799,1621,1.203,1636,1.545,1640,1.545,1696,1.799,1698,1.799,1712,2.678,1724,1.077,1757,1.077,1761,3.253,1762,1.545,1771,1.799,1774,0.969,1802,1.799,1807,1.799,1809,1.799,1810,1.799,1811,1.545,1822,1.907,1847,2.747,1857,1.791,1867,1.545,1882,1.545,1893,1.545,1897,2.678,1899,1.799,1910,1.799,1912,2.99,1916,1.799,1927,1.545,2061,0.969,2078,2.678,2079,2.678,2084,1.203,2128,1.203,2129,1.799,2140,1.545,2187,1.799,2205,1.799,2217,1.545,2218,1.799,2240,1.545,2254,2.017,2255,2.377,2271,1.799,2272,3.543,2288,1.799,2316,1.799,2317,2.678,2320,1.799,2363,3.543,2370,1.077,2430,2.678,2439,2.678,2440,1.545,2442,1.545,2460,1.799,2469,1.545,2470,2.747,2526,1.603,2638,2.747,2727,1.799,2731,1.799,2735,1.545,2747,2.299,2752,1.799,2772,1.799,2803,2.185,2804,3.253,2805,2.185,2806,2.185,2807,3.253,2808,2.185,2809,2.185,2810,2.185,2811,3.253,2812,2.185,2813,2.185,2814,2.185,2815,2.185,2816,4.601,2817,4.601,2818,3.253,2819,3.253,2820,3.253,2821,3.886,2822,4.304,2823,2.185,2824,2.185,2825,5.339,2826,2.185,2827,2.185,2828,2.185,2829,2.185,2830,2.185,2831,2.185,2832,2.185,2833,2.185,2834,2.185,2835,2.185,2836,2.185,2837,2.185,2838,2.185,2839,2.185,2840,2.185,2841,2.185,2842,2.185,2843,2.185,2844,2.185,2845,2.185,2846,2.185,2847,2.185,2848,2.185,2849,2.185,2850,2.185,2851,2.185,2852,3.253,2853,2.185,2854,2.185,2855,5.133,2856,5.133,2857,3.253,2858,3.253,2859,3.253,2860,4.824,2861,3.253,2862,3.253,2863,2.185,2864,2.185,2865,2.185,2866,4.824,2867,5.133,2868,2.185,2869,3.886,2870,2.185,2871,3.253,2872,2.185,2873,3.253,2874,3.253,2875,2.185,2876,2.185,2877,2.185,2878,2.185,2879,3.253,2880,2.185,2881,2.185,2882,3.253,2883,2.185,2884,1.799,2885,2.185,2886,3.886,2887,2.185,2888,2.185,2889,5.339,2890,3.886,2891,2.185,2892,2.185,2893,2.185,2894,2.185,2895,2.185,2896,2.185,2897,2.185,2898,2.185,2899,5.339,2900,2.185,2901,2.185,2902,1.545,2903,2.185,2904,2.185,2905,2.185,2906,3.253,2907,2.185,2908,3.199,2909,2.185,2910,5.339,2911,3.253,2912,2.185,2913,2.185,2914,2.185,2915,2.185,2916,3.253,2917,3.253,2918,2.185,2919,2.185,2920,2.185,2921,2.185,2922,2.185,2923,2.185,2924,2.185,2925,2.185,2926,3.253,2927,1.545,2928,2.185,2929,2.185,2930,2.185,2931,2.185,2932,2.185,2933,2.185,2934,2.185,2935,2.185,2936,2.185,2937,2.185,2938,3.253,2939,2.185,2940,2.185,2941,2.185,2942,2.185,2943,2.185,2944,2.185,2945,2.185,2946,2.185,2947,2.185,2948,2.185,2949,2.185,2950,2.185,2951,2.185,2952,2.185,2953,2.185,2954,2.185,2955,2.185,2956,2.185,2957,2.185,2958,2.185,2959,2.185,2960,2.185,2961,4.304,2962,2.185,2963,2.185,2964,2.185,2965,3.886,2966,2.185,2967,2.185,2968,2.185,2969,3.199,2970,3.253,2971,3.253,2972,2.185,2973,2.185,2974,2.185,2975,2.185,2976,2.185,2977,2.185,2978,2.185,2979,2.185,2980,2.185,2981,2.185,2982,2.185,2983,3.253,2984,2.185,2985,2.185,2986,2.185,2987,2.185,2988,2.185,2989,2.185,2990,2.185,2991,2.185,2992,2.185,2993,2.185,2994,2.185,2995,2.185,2996,2.185,2997,2.185,2998,2.185,2999,2.185,3000,3.253,3001,3.253,3002,2.185,3003,2.185,3004,2.185,3005,2.185,3006,2.185,3007,2.185,3008,3.253,3009,2.185,3010,2.185,3011,2.185,3012,2.185,3013,2.185]],["t/21",[28,0.159,31,0.015,603,1.033,1065,0.843,3014,1.92]],["b/21",[1,0.018,2,0.17,3,0.03,4,0.028,5,0.018,6,0.018,7,0.039,8,0.025,9,0.018,10,0.018,11,0.018,12,0.018,13,0.025,14,0.029,15,0.018,16,0.312,17,0.028,18,0.018,19,0.018,20,0.032,21,0.07,22,0.155,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.385,29,0.032,30,0.018,31,0.025,32,0.018,33,0.018,34,0.025,35,0.03,36,0.025,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.056,44,0.056,45,0.056,46,0.078,47,0.096,48,0.096,49,0.096,50,0.056,51,0.096,57,1.031,61,0.104,87,0.76,89,0.428,95,0.164,96,0.614,99,0.402,101,0.866,102,2.016,103,1.049,107,0.59,114,0.614,121,0.614,122,1.768,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,137,0.373,148,1.031,151,0.76,154,1.768,164,0.428,165,0.76,174,0.842,175,1.163,184,1.423,194,0.548,243,2.016,251,1.57,254,1.141,260,1.768,359,0.76,362,1.266,368,1.768,468,2.016,469,0.842,477,1.405,501,0.43,504,0.614,514,2.016,516,1.474,524,1.163,565,1.031,567,1.768,575,0.76,578,2.348,603,1.745,609,1.405,610,1.768,682,1.264,689,1.141,752,1.57,763,2.348,764,1.768,767,0.932,792,0.842,800,2.016,804,0.272,805,0.741,807,1.224,856,0.866,870,1.405,872,0.614,879,1.049,880,1.031,882,1.264,885,1.999,887,1.575,912,1.57,913,1.405,921,1.141,933,1.405,940,1.36,958,1.141,1013,2.016,1024,1.745,1038,1.264,1064,1.57,1065,1.63,1067,2.016,1069,1.031,1078,1.768,1079,1.945,1080,1.768,1081,3.188,1082,2.483,1083,2.168,1084,2.016,1085,2.348,1086,0.932,1087,1.575,1089,1.141,1090,2.016,1093,2.016,1094,2.016,1095,1.57,1096,1.405,1097,2.168,1098,2.016,1099,2.016,1101,1.264,1102,1.031,1103,1.264,1112,1.57,1124,0.76,1174,2.441,1199,1.57,1202,2.784,1231,1.031,1333,1.436,1337,1.992,1342,2.204,1368,2.348,1403,0.932,1427,1.768,1529,1.57,1536,2.016,1546,1.768,1591,1.57,1593,1.768,1599,1.287,1820,2.79,1822,2.479,1831,2.156,1886,1.575,1938,3.015,2027,2.784,2038,2.016,2061,1.264,2084,2.483,2128,1.57,2195,2.016,2237,2.348,2240,2.016,2255,2.716,2339,2.348,2412,2.016,2421,2.396,2469,2.784,2513,4.453,2526,1.405,2546,4.345,2547,4.202,2634,2.348,2637,3.714,2722,2.348,2735,2.016,2747,3.731,2749,2.016,2774,2.348,2775,3.714,2902,2.016,2927,2.016,3014,3.714,3015,2.853,3016,2.853,3017,2.853,3018,2.853,3019,2.853,3020,2.853,3021,5.278,3022,2.853,3023,4.864,3024,4.864,3025,4.864,3026,4.864,3027,4.864,3028,2.853,3029,2.853,3030,2.853,3031,2.853,3032,2.853,3033,2.853,3034,3.242,3035,2.853,3036,2.853,3037,3.242,3038,2.853,3039,5.104,3040,4.202,3041,5.409,3042,2.853,3043,2.853,3044,5.278,3045,2.853,3046,2.853,3047,2.853,3048,2.853,3049,2.853,3050,3.938,3051,2.853,3052,3.938,3053,2.853,3054,4.511,3055,4.511,3056,2.853,3057,3.938,3058,3.938,3059,3.938,3060,2.853,3061,2.853,3062,2.853,3063,2.853,3064,2.853,3065,2.853,3066,2.853,3067,2.853,3068,2.853,3069,2.348,3070,2.853,3071,3.938,3072,2.853,3073,2.853,3074,2.853,3075,2.853,3076,2.853,3077,2.853,3078,2.853,3079,2.853,3080,2.853,3081,2.853,3082,3.938,3083,2.853,3084,3.938,3085,2.853,3086,3.938,3087,2.853,3088,4.511,3089,2.853,3090,2.853,3091,2.853,3092,2.853,3093,2.853,3094,2.853,3095,2.853,3096,2.853,3097,4.511,3098,2.853,3099,2.853,3100,2.853,3101,2.853,3102,3.938,3103,2.853,3104,2.853,3105,2.853,3106,2.853,3107,2.853,3108,2.853,3109,2.853,3110,2.853,3111,2.853,3112,4.864,3113,4.511,3114,3.938,3115,2.853,3116,2.853,3117,2.853,3118,2.853,3119,2.853,3120,2.853,3121,2.853,3122,2.853,3123,2.853,3124,2.853,3125,2.853,3126,2.853,3127,2.853,3128,2.853,3129,2.853,3130,2.853,3131,2.853,3132,2.853,3133,2.853,3134,2.853,3135,3.938]],["t/22",[28,0.159,32,0.015,785,1.149,856,0.448,2471,1.648]],["b/22",[1,0.025,2,0.184,3,0.025,4,0.025,5,0.019,6,0.029,7,0.039,8,0.032,9,0.019,10,0.019,11,0.018,12,0.018,13,0.026,14,0.026,15,0.018,16,0.278,17,0.032,18,0.018,19,0.018,20,0.018,21,0.071,22,0.138,23,0.018,24,0.081,25,0.071,26,0.019,27,0.019,28,0.382,29,0.018,30,0.028,31,0.018,32,0.025,33,0.018,34,0.018,35,0.025,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.079,47,0.097,48,0.134,49,0.097,50,0.057,51,0.097,61,0.097,69,0.695,75,1.796,84,0.855,88,1.284,89,0.435,95,0.189,96,0.856,99,0.314,101,0.556,107,0.379,108,0.695,114,1.053,120,0.855,121,0.623,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,164,0.682,165,0.772,172,1.427,176,0.855,194,0.556,195,1.284,204,0.947,215,1.413,242,0.874,248,1.427,254,1.592,260,1.796,297,2.385,362,1.091,381,2.048,402,1.427,470,3.277,473,2.385,477,1.427,524,1.175,551,1.061,565,1.047,571,2.048,603,1.284,671,1.427,674,1.446,688,0.855,730,0.947,732,1.595,752,1.595,772,1.796,785,2.529,803,0.855,804,0.379,805,0.774,807,1.091,849,1.047,856,0.873,861,0.947,872,0.623,879,0.772,880,1.047,882,1.284,885,2.274,887,2.052,897,3.744,898,0.947,912,1.595,918,1.158,921,1.158,922,2.412,930,2.467,940,0.772,981,1.595,997,0.772,1045,2.048,1046,3.461,1049,1.284,1052,2.048,1065,1.047,1069,1.047,1084,2.048,1101,1.284,1102,1.047,1103,2.015,1104,1.158,1106,3.214,1112,2.503,1124,0.772,1138,2.385,1199,1.595,1210,1.284,1226,2.048,1231,1.438,1233,2.385,1332,1.301,1333,1.566,1337,2.073,1342,1.158,1379,2.919,1395,2.814,1403,0.947,1410,3.181,1420,2.191,1427,1.796,1431,2.385,1498,2.814,1527,2.048,1529,1.595,1530,1.796,1533,1.796,1572,1.961,1589,2.467,1599,1.677,1600,1.427,1610,1.427,1621,1.595,1626,4.031,1714,3.744,1715,1.595,1720,2.048,1753,2.048,1757,1.427,1831,1.284,1838,2.385,1857,1.595,1938,2.467,1965,2.385,1978,1.284,2128,2.191,2140,2.814,2195,2.048,2270,2.385,2412,2.048,2421,1.427,2440,2.048,2442,2.048,2471,3.214,2526,1.427,2638,2.814,2641,2.385,2644,2.385,2749,2.814,2773,2.385,2776,4.225,2778,2.385,2779,3.277,2780,2.385,2781,3.277,2783,2.385,2884,4.031,2902,2.048,2908,2.385,3034,4.225,3037,3.277,3040,3.744,3069,4.225,3136,2.897,3137,2.897,3138,2.897,3139,2.897,3140,2.897,3141,2.897,3142,3.98,3143,2.897,3144,2.897,3145,3.98,3146,3.98,3147,2.897,3148,2.897,3149,2.897,3150,2.897,3151,3.98,3152,3.98,3153,3.98,3154,3.98,3155,3.98,3156,3.98,3157,3.98,3158,3.98,3159,3.98,3160,3.98,3161,3.98,3162,2.897,3163,2.897,3164,3.98,3165,3.98,3166,4.547,3167,2.897,3168,2.897,3169,2.897,3170,2.897,3171,2.897,3172,2.897,3173,2.897,3174,2.897,3175,2.897,3176,4.547,3177,2.897,3178,2.897,3179,2.897,3180,2.897,3181,2.897,3182,3.98,3183,2.897,3184,2.897,3185,2.897,3186,2.897,3187,2.897,3188,4.547,3189,2.897,3190,3.98,3191,2.385,3192,2.897,3193,2.897,3194,2.897,3195,2.897,3196,2.897,3197,2.897,3198,2.897,3199,3.98,3200,3.98,3201,2.897,3202,3.98,3203,3.98,3204,3.98,3205,2.897,3206,2.897,3207,4.896,3208,2.897,3209,2.897,3210,2.897,3211,2.897,3212,2.897,3213,2.897,3214,2.897,3215,2.897,3216,2.897,3217,2.897,3218,2.897,3219,2.897,3220,2.897,3221,2.897,3222,2.897,3223,4.547,3224,3.98,3225,2.897,3226,2.897,3227,2.897,3228,4.547,3229,4.547,3230,2.897,3231,2.897,3232,2.385,3233,3.98,3234,3.98,3235,3.98,3236,2.897,3237,2.897,3238,2.897,3239,2.897,3240,2.897,3241,2.897,3242,2.897,3243,2.897,3244,2.897,3245,2.897,3246,2.897,3247,3.277,3248,2.897,3249,2.897,3250,2.897,3251,2.385,3252,2.897,3253,2.897,3254,2.897,3255,2.897,3256,2.897,3257,2.897,3258,2.897,3259,2.897,3260,2.897,3261,2.897,3262,2.897,3263,2.897,3264,2.897,3265,2.897,3266,2.897,3267,2.897,3268,2.897,3269,2.897,3270,2.897,3271,2.897,3272,2.897,3273,2.897,3274,3.98,3275,2.897,3276,2.897,3277,2.897,3278,2.897,3279,2.897,3280,3.98,3281,2.897,3282,2.897,3283,2.897]],["t/23",[16,0.126,28,0.159,33,0.015,1190,0.932,1648,1.446]],["b/23",[1,0.029,2,0.196,3,0.029,4,0.026,5,0.02,6,0.027,7,0.039,8,0.032,9,0.02,10,0.02,11,0.019,12,0.019,13,0.03,14,0.027,15,0.019,16,0.291,17,0.026,18,0.019,19,0.019,20,0.032,21,0.073,22,0.14,23,0.019,24,0.083,25,0.073,26,0.02,27,0.02,28,0.386,29,0.026,30,0.019,31,0.026,32,0.019,33,0.031,34,0.026,35,0.019,36,0.027,37,0.02,38,0.019,39,0.019,40,0.019,41,0.027,42,0.019,43,0.06,44,0.06,45,0.06,46,0.081,47,0.102,48,0.138,49,0.102,50,0.06,51,0.102,61,0.06,95,0.175,96,0.651,99,0.239,107,0.396,113,3.331,123,0.02,124,0.02,125,0.02,126,0.02,127,0.02,128,0.02,129,0.02,130,0.02,131,0.02,132,0.02,133,0.02,134,0.02,135,0.02,137,0.396,158,2.139,159,0.396,161,2.021,165,0.806,166,1.666,174,0.894,185,1.491,192,1.876,199,1.202,204,0.989,215,1.093,242,0.516,289,1.094,362,0.984,402,1.491,477,1.491,495,0.726,501,0.391,506,1.094,524,1.211,557,0.989,608,1.666,615,1.094,674,1.211,678,1.21,688,1.673,715,1.341,730,1.34,795,2.139,803,0.894,804,0.546,805,0.731,872,1.121,879,1.093,880,1.482,882,1.818,885,2.381,887,2.148,898,0.989,918,1.86,921,1.21,922,1.491,940,0.806,976,3.884,981,1.666,997,0.806,1010,2.492,1017,1.876,1019,2.899,1044,2.492,1049,1.818,1050,2.139,1069,1.482,1086,0.989,1101,1.818,1102,1.482,1103,1.818,1104,1.21,1112,1.666,1122,2.542,1123,1.341,1152,2.492,1166,2.258,1190,2.235,1199,2.258,1210,1.341,1346,1.876,1349,2.899,1356,2.492,1418,2.492,1420,2.745,1527,2.139,1586,1.64,1599,0.989,1603,1.876,1613,2.139,1614,3.376,1621,1.666,1638,2.139,1648,2.542,1649,2.899,1699,2.492,1700,2.492,1715,1.666,1857,1.666,1865,3.83,1866,2.492,1884,2.492,1903,2.542,1926,2.492,1978,1.341,2048,2.492,2054,2.139,2088,2.139,2104,2.884,2106,1.876,2107,1.876,2108,1.876,2109,1.876,2110,1.876,2111,1.876,2114,2.899,2127,2.139,2183,2.139,2184,2.139,2362,1.876,2370,1.491,2378,2.139,2380,2.139,2411,2.492,2413,2.139,2432,3.376,2526,1.491,2643,2.492,2658,2.492,2927,2.139,2969,4.524,3191,2.492,3232,2.492,3247,2.492,3251,2.492,3284,3.027,3285,3.027,3286,3.027,3287,3.027,3288,3.027,3289,3.027,3290,4.101,3291,4.652,3292,3.027,3293,4.101,3294,3.027,3295,3.027,3296,3.027,3297,3.027,3298,3.027,3299,3.027,3300,3.027,3301,4.101,3302,3.027,3303,3.027,3304,3.027,3305,3.027,3306,3.027,3307,3.027,3308,3.027,3309,3.027,3310,3.027,3311,3.027,3312,3.027,3313,3.027,3314,4.101,3315,3.027,3316,3.027,3317,3.027,3318,3.027,3319,3.027,3320,3.027,3321,3.027,3322,3.027,3323,3.027,3324,3.027,3325,3.027,3326,3.027,3327,3.027,3328,3.83,3329,3.027,3330,3.027,3331,3.027,3332,3.027,3333,3.027,3334,3.027,3335,3.027,3336,3.027,3337,4.101,3338,3.027,3339,4.101,3340,3.027,3341,3.027,3342,3.027,3343,3.027,3344,4.101,3345,3.027,3346,3.027,3347,3.027,3348,3.027,3349,3.027,3350,3.027,3351,3.027,3352,3.027,3353,3.027,3354,3.027,3355,3.027,3356,4.986,3357,3.027,3358,3.027,3359,3.027,3360,3.027,3361,3.027,3362,3.027,3363,3.027,3364,3.027,3365,4.101,3366,3.027,3367,3.027,3368,3.027,3369,3.027,3370,3.027,3371,3.027,3372,3.027,3373,3.027,3374,3.027,3375,3.027,3376,3.027,3377,3.027,3378,3.027,3379,3.027,3380,3.027,3381,3.027]],["t/24",[28,0.159,34,0.015,60,0.843,159,0.305,1886,0.932]],["b/24",[1,0.024,2,0.206,3,0.03,4,0.03,5,0.025,6,0.031,7,0.039,8,0.03,9,0.025,10,0.025,11,0.024,12,0.024,13,0.031,14,0.034,15,0.024,16,0.297,17,0.03,18,0.024,19,0.024,20,0.033,21,0.085,22,0.162,23,0.024,24,0.093,25,0.085,26,0.025,27,0.025,28,0.404,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.03,35,0.024,36,0.031,37,0.025,38,0.024,39,0.024,40,0.024,41,0.025,42,0.024,43,0.077,44,0.077,45,0.077,46,0.095,47,0.13,48,0.13,49,0.13,50,0.077,51,0.13,60,1.401,61,0.095,69,0.93,92,1.718,95,0.13,99,0.413,123,0.025,124,0.025,125,0.025,126,0.025,127,0.025,128,0.025,129,0.025,130,0.025,131,0.025,132,0.025,133,0.025,134,0.025,135,0.025,159,0.507,165,1.033,248,1.91,377,0.834,495,1.478,564,1.401,673,1.718,674,1.145,686,1.55,687,1.283,767,1.267,803,1.145,804,0.547,805,0.737,869,1.401,913,1.91,976,3.405,1052,2.74,1069,1.401,1101,1.718,1102,1.401,1103,1.718,1112,2.134,1124,1.033,1220,1.55,1226,2.74,1333,1.145,1354,3.192,1403,1.267,1586,1.55,1589,2.403,1612,2.134,1621,2.134,1806,2.74,1831,1.718,1886,1.55,2054,2.74,2277,3.192,2413,2.74,2421,2.373,2472,3.192,3328,3.966,3382,3.877,3383,3.877,3384,3.877,3385,3.877,3386,3.877,3387,3.877,3388,3.877,3389,3.877,3390,4.817,3391,3.877,3392,3.877,3393,3.877,3394,3.877,3395,3.877,3396,3.877,3397,3.877,3398,3.877,3399,3.877,3400,5.24,3401,3.877,3402,3.877,3403,3.877,3404,3.877,3405,3.877,3406,3.877,3407,3.877,3408,3.877,3409,3.877,3410,3.877,3411,3.877,3412,3.877,3413,3.877,3414,3.877,3415,3.877,3416,3.877,3417,3.877]],["t/25",[7,0.018,1881,1.623,3418,2.949]],["b/25",[1,0.028,2,0.209,3,0.028,4,0.028,5,0.029,6,0.029,7,0.039,8,0.028,9,0.029,10,0.029,11,0.028,12,0.028,13,0.029,14,0.029,15,0.028,16,0.301,17,0.028,18,0.028,19,0.028,20,0.028,21,0.093,22,0.156,23,0.028,24,0.099,25,0.093,26,0.029,27,0.029,28,0.411,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.029,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,123,0.029,124,0.029,125,0.029,126,0.029,127,0.029,128,0.029,129,0.029,130,0.029,131,0.029,132,0.029,133,0.029,134,0.029,135,0.029,173,1.311,516,1.451,700,3.138,1881,2.444]]],"invertedIndex":[["",{"_index":7,"t":{"25":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["0",{"_index":204,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"11":{},"12":{},"15":{},"19":{},"22":{},"23":{}}}],["0.0",{"_index":215,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["0.0001",{"_index":1110,"t":{},"b":{"4":{},"20":{}}}],["0.000692",{"_index":2766,"t":{},"b":{"19":{}}}],["0.001636",{"_index":2838,"t":{},"b":{"20":{}}}],["0.001716",{"_index":2836,"t":{},"b":{"20":{}}}],["0.002",{"_index":2861,"t":{},"b":{"20":{}}}],["0.003",{"_index":2857,"t":{},"b":{"20":{}}}],["0.0031384",{"_index":2844,"t":{},"b":{"20":{}}}],["0.0038344",{"_index":2832,"t":{},"b":{"20":{}}}],["0.0039192",{"_index":2834,"t":{},"b":{"20":{}}}],["0.004",{"_index":2859,"t":{},"b":{"20":{}}}],["0.0056096",{"_index":2840,"t":{},"b":{"20":{}}}],["0.006",{"_index":2858,"t":{},"b":{"20":{}}}],["0.00632",{"_index":201,"t":{},"b":{"1":{},"19":{}}}],["0.007",{"_index":2862,"t":{},"b":{"20":{}}}],["0.00931",{"_index":2771,"t":{},"b":{"19":{}}}],["0.01",{"_index":2856,"t":{},"b":{"20":{}}}],["0.0123",{"_index":2769,"t":{},"b":{"19":{}}}],["0.02",{"_index":2860,"t":{},"b":{"20":{}}}],["0.0206",{"_index":2758,"t":{},"b":{"19":{}}}],["0.02729",{"_index":225,"t":{},"b":{"1":{},"19":{}}}],["0.02731",{"_index":214,"t":{},"b":{"1":{},"19":{}}}],["0.03",{"_index":1176,"t":{},"b":{"5":{},"20":{}}}],["0.03237",{"_index":231,"t":{},"b":{"1":{}}}],["0.0352",{"_index":1800,"t":{},"b":{"7":{}}}],["0.04",{"_index":2855,"t":{},"b":{"20":{}}}],["0.04395350488998528",{"_index":2622,"t":{},"b":{"18":{}}}],["0.0464",{"_index":2757,"t":{},"b":{"19":{}}}],["0.04968535941630985",{"_index":2022,"t":{},"b":{"10":{}}}],["0.05",{"_index":2430,"t":{},"b":{"15":{},"20":{}}}],["0.0556",{"_index":1856,"t":{},"b":{"7":{}}}],["0.06859694610517136",{"_index":2021,"t":{},"b":{"10":{}}}],["0.06905",{"_index":249,"t":{},"b":{"1":{}}}],["0.06917",{"_index":305,"t":{},"b":{"1":{},"19":{}}}],["0.08334382428960498",{"_index":2024,"t":{},"b":{"10":{}}}],["0.09410638348155964",{"_index":2262,"t":{},"b":{"13":{}}}],["0.09988918161681738",{"_index":2031,"t":{},"b":{"10":{}}}],["0.1",{"_index":498,"t":{},"b":{"1":{},"4":{}}}],["0.1*rand(300",{"_index":1994,"t":{},"b":{"10":{},"13":{},"14":{}}}],["0.105386",{"_index":534,"t":{},"b":{"1":{}}}],["0.10592225645600521",{"_index":2019,"t":{},"b":{"10":{}}}],["0.108",{"_index":2756,"t":{},"b":{"19":{}}}],["0.111",{"_index":1855,"t":{},"b":{"7":{}}}],["0.1111111111111111",{"_index":2418,"t":{},"b":{"15":{}}}],["0.115878",{"_index":310,"t":{},"b":{"1":{},"19":{}}}],["0.11590837511873998",{"_index":2007,"t":{},"b":{"10":{}}}],["0.11813112049190187",{"_index":2025,"t":{},"b":{"10":{}}}],["0.124453",{"_index":1740,"t":{},"b":{"7":{}}}],["0.1308465569235377",{"_index":2020,"t":{},"b":{"10":{}}}],["0.14873128247437858",{"_index":2023,"t":{},"b":{"10":{}}}],["0.173664",{"_index":520,"t":{},"b":{"1":{}}}],["0.191073",{"_index":2301,"t":{},"b":{"13":{}}}],["0.19494098436892582",{"_index":2438,"t":{},"b":{"15":{}}}],["0.197753",{"_index":537,"t":{},"b":{"1":{}}}],["0.2",{"_index":459,"t":{},"b":{"1":{},"8":{}}}],["0.228572",{"_index":1746,"t":{},"b":{"7":{}}}],["0.234",{"_index":1620,"t":{},"b":{"6":{}}}],["0.246",{"_index":499,"t":{},"b":{"1":{}}}],["0.25264964046120225",{"_index":2164,"t":{},"b":{"11":{}}}],["0.253994",{"_index":306,"t":{},"b":{"1":{},"19":{}}}],["0.25651",{"_index":295,"t":{},"b":{"1":{}}}],["0.274344",{"_index":1730,"t":{},"b":{"7":{}}}],["0.27465",{"_index":540,"t":{},"b":{"1":{}}}],["0.278",{"_index":1645,"t":{},"b":{"6":{}}}],["0.2999012171698161",{"_index":2263,"t":{},"b":{"13":{}}}],["0.3",{"_index":1016,"t":{},"b":{"4":{},"5":{}}}],["0.3013103535440822",{"_index":2267,"t":{},"b":{"13":{}}}],["0.306",{"_index":2768,"t":{},"b":{"19":{}}}],["0.313798",{"_index":536,"t":{},"b":{"1":{}}}],["0.32",{"_index":343,"t":{},"b":{"1":{}}}],["0.322497",{"_index":539,"t":{},"b":{"1":{}}}],["0.3277498771713516",{"_index":2121,"t":{},"b":{"11":{}}}],["0.35249",{"_index":532,"t":{},"b":{"1":{}}}],["0.360357",{"_index":2843,"t":{},"b":{"20":{}}}],["0.361854",{"_index":1739,"t":{},"b":{"7":{}}}],["0.379064",{"_index":533,"t":{},"b":{"1":{}}}],["0.385",{"_index":307,"t":{},"b":{"1":{}}}],["0.39",{"_index":2242,"t":{},"b":{"12":{}}}],["0.3z",{"_index":969,"t":{},"b":{"4":{}}}],["0.4069405144799101",{"_index":2266,"t":{},"b":{"13":{}}}],["0.4111301767644082",{"_index":2265,"t":{},"b":{"13":{}}}],["0.4174696748484731",{"_index":2552,"t":{},"b":{"17":{}}}],["0.458",{"_index":233,"t":{},"b":{"1":{}}}],["0.46",{"_index":300,"t":{},"b":{"1":{}}}],["0.469",{"_index":217,"t":{},"b":{"1":{},"19":{}}}],["0.469911",{"_index":521,"t":{},"b":{"1":{}}}],["0.5",{"_index":1199,"t":{},"b":{"5":{},"20":{},"21":{},"22":{},"23":{}}}],["0.516171",{"_index":535,"t":{},"b":{"1":{}}}],["0.521",{"_index":2916,"t":{},"b":{"20":{}}}],["0.525",{"_index":2772,"t":{},"b":{"19":{},"20":{}}}],["0.5303646605536807",{"_index":2261,"t":{},"b":{"13":{}}}],["0.538",{"_index":205,"t":{},"b":{"1":{},"19":{}}}],["0.5499402666491009",{"_index":2268,"t":{},"b":{"13":{}}}],["0.551895",{"_index":522,"t":{},"b":{"1":{}}}],["0.554695",{"_index":309,"t":{},"b":{"1":{},"19":{}}}],["0.572359",{"_index":1742,"t":{},"b":{"7":{}}}],["0.58",{"_index":645,"t":{},"b":{"2":{}}}],["0.6",{"_index":500,"t":{},"b":{"1":{}}}],["0.625851",{"_index":1736,"t":{},"b":{"7":{}}}],["0.629",{"_index":2920,"t":{},"b":{"20":{}}}],["0.63588",{"_index":538,"t":{},"b":{"1":{}}}],["0.638",{"_index":650,"t":{},"b":{"2":{}}}],["0.690031",{"_index":2300,"t":{},"b":{"13":{}}}],["0.7",{"_index":1996,"t":{},"b":{"10":{},"12":{},"15":{}}}],["0.70",{"_index":881,"t":{},"b":{"4":{},"5":{}}}],["0.702617",{"_index":316,"t":{},"b":{"1":{},"19":{}}}],["0.70999",{"_index":1748,"t":{},"b":{"7":{}}}],["0.7222222222222222",{"_index":2067,"t":{},"b":{"10":{}}}],["0.7233074812209765",{"_index":2553,"t":{},"b":{"17":{}}}],["0.729",{"_index":1396,"t":{},"b":{"5":{}}}],["0.75",{"_index":2172,"t":{},"b":{"11":{}}}],["0.777009169833947",{"_index":2264,"t":{},"b":{"13":{}}}],["0.782",{"_index":2918,"t":{},"b":{"20":{}}}],["0.7z",{"_index":970,"t":{},"b":{"4":{}}}],["0.8",{"_index":1774,"t":{},"b":{"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"20":{}}}],["0.805518",{"_index":2684,"t":{},"b":{"18":{}}}],["0.811827",{"_index":1726,"t":{},"b":{"7":{}}}],["0.829",{"_index":640,"t":{},"b":{"2":{}}}],["0.831",{"_index":651,"t":{},"b":{"2":{}}}],["0.8495024908781252",{"_index":2269,"t":{},"b":{"13":{}}}],["0.854028",{"_index":2305,"t":{},"b":{"13":{}}}],["0.863",{"_index":646,"t":{},"b":{"2":{}}}],["0.871",{"_index":308,"t":{},"b":{"1":{}}}],["0.8857142857142857",{"_index":1413,"t":{},"b":{"5":{}}}],["0.918",{"_index":1397,"t":{},"b":{"5":{}}}],["0.9428571428571428",{"_index":1415,"t":{},"b":{"5":{}}}],["0.9436456234171869",{"_index":2554,"t":{},"b":{"17":{}}}],["0.95",{"_index":2744,"t":{},"b":{"19":{}}}],["0.953",{"_index":2770,"t":{},"b":{"19":{}}}],["0.957449",{"_index":1745,"t":{},"b":{"7":{}}}],["0.9655342205668823",{"_index":2517,"t":{},"b":{"17":{}}}],["0.9680406849488128",{"_index":2623,"t":{},"b":{"18":{}}}],["0.9933515571990573",{"_index":2518,"t":{},"b":{"17":{}}}],["0.998859",{"_index":1738,"t":{},"b":{"7":{}}}],["0.9991510921213993",{"_index":2519,"t":{},"b":{"17":{}}}],["0.9997505816044248",{"_index":2555,"t":{},"b":{"17":{}}}],["0.9998956501446636",{"_index":2556,"t":{},"b":{"17":{}}}],["0.9999999999999998",{"_index":2557,"t":{},"b":{"17":{}}}],["01",{"_index":589,"t":{},"b":{"2":{}}}],["01,2019",{"_index":590,"t":{},"b":{"2":{}}}],["01t00:00:00,true",{"_index":591,"t":{},"b":{"2":{}}}],["02,2019",{"_index":593,"t":{},"b":{"2":{}}}],["02t00:00:00,fals",{"_index":594,"t":{},"b":{"2":{}}}],["03,2019",{"_index":596,"t":{},"b":{"2":{}}}],["03t00:00:00,true",{"_index":597,"t":{},"b":{"2":{}}}],["0x00000001",{"_index":2208,"t":{},"b":{"12":{}}}],["0x00000002",{"_index":2209,"t":{},"b":{"12":{}}}],["0x00000003",{"_index":2207,"t":{},"b":{"12":{}}}],["1",{"_index":99,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["1)more",{"_index":1117,"t":{},"b":{"5":{}}}],["1,1.0,1,one,2019",{"_index":588,"t":{},"b":{"2":{}}}],["1.0",{"_index":495,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"17":{},"18":{},"20":{},"23":{},"24":{}}}],["1.05874",{"_index":2302,"t":{},"b":{"13":{}}}],["1.06167",{"_index":2304,"t":{},"b":{"13":{}}}],["1.1",{"_index":2928,"t":{},"b":{"20":{}}}],["1.11715",{"_index":1728,"t":{},"b":{"7":{}}}],["1.1296",{"_index":322,"t":{},"b":{"1":{}}}],["1.13628",{"_index":2835,"t":{},"b":{"20":{}}}],["1.1363",{"_index":2833,"t":{},"b":{"20":{}}}],["1.13633",{"_index":2845,"t":{},"b":{"20":{}}}],["1.1387",{"_index":2837,"t":{},"b":{"20":{}}}],["1.13877",{"_index":2839,"t":{},"b":{"20":{}}}],["1.14755",{"_index":2841,"t":{},"b":{"20":{}}}],["1.16",{"_index":2241,"t":{},"b":{"12":{}}}],["1.2",{"_index":1810,"t":{},"b":{"7":{},"20":{}}}],["1.3",{"_index":465,"t":{},"b":{"1":{},"4":{},"8":{},"13":{}}}],["1.348",{"_index":647,"t":{},"b":{"2":{}}}],["1.35423",{"_index":2303,"t":{},"b":{"13":{}}}],["1.4",{"_index":458,"t":{},"b":{"1":{},"8":{}}}],["1.40902",{"_index":2831,"t":{},"b":{"20":{}}}],["1.4285714285714286",{"_index":1385,"t":{},"b":{"5":{}}}],["1.453",{"_index":642,"t":{},"b":{"2":{}}}],["1.4606176614761353",{"_index":1330,"t":{},"b":{"5":{}}}],["1.4607505798339844",{"_index":1331,"t":{},"b":{"5":{}}}],["1.4607977867126465",{"_index":1329,"t":{},"b":{"5":{}}}],["1.4609676599502563",{"_index":1328,"t":{},"b":{"5":{}}}],["1.4611939191818237",{"_index":1327,"t":{},"b":{"5":{}}}],["1.461545467376709",{"_index":1325,"t":{},"b":{"5":{}}}],["1.4615777730941772",{"_index":1326,"t":{},"b":{"5":{}}}],["1.4619566202163696",{"_index":1324,"t":{},"b":{"5":{}}}],["1.462",{"_index":496,"t":{},"b":{"1":{}}}],["1.4620307683944702",{"_index":1323,"t":{},"b":{"5":{}}}],["1.4620510339736938",{"_index":1322,"t":{},"b":{"5":{}}}],["1.462222695350647",{"_index":1321,"t":{},"b":{"5":{}}}],["1.4623528718948364",{"_index":1318,"t":{},"b":{"5":{}}}],["1.4624465703964233",{"_index":1320,"t":{},"b":{"5":{}}}],["1.462546467781067",{"_index":1317,"t":{},"b":{"5":{}}}],["1.4626270532608032",{"_index":1319,"t":{},"b":{"5":{}}}],["1.4626370668411255",{"_index":1316,"t":{},"b":{"5":{}}}],["1.4626812934875488",{"_index":1315,"t":{},"b":{"5":{}}}],["1.463156819343567",{"_index":1314,"t":{},"b":{"5":{}}}],["1.4633418321609497",{"_index":1313,"t":{},"b":{"5":{}}}],["1.4635329246520996",{"_index":1312,"t":{},"b":{"5":{}}}],["1.4638872146606445",{"_index":1310,"t":{},"b":{"5":{}}}],["1.4639283418655396",{"_index":1311,"t":{},"b":{"5":{}}}],["1.4643359184265137",{"_index":1309,"t":{},"b":{"5":{}}}],["1.46450936794281",{"_index":1308,"t":{},"b":{"5":{}}}],["1.4652198553085327",{"_index":1307,"t":{},"b":{"5":{}}}],["1.4653849601745605",{"_index":1306,"t":{},"b":{"5":{}}}],["1.4660505056381226",{"_index":1305,"t":{},"b":{"5":{}}}],["1.4661484956741333",{"_index":1304,"t":{},"b":{"5":{}}}],["1.4661507606506348",{"_index":1303,"t":{},"b":{"5":{}}}],["1.4666513204574585",{"_index":1302,"t":{},"b":{"5":{}}}],["1.4671438932418823",{"_index":1300,"t":{},"b":{"5":{}}}],["1.4673799276351929",{"_index":1301,"t":{},"b":{"5":{}}}],["1.4676014184951782",{"_index":1299,"t":{},"b":{"5":{}}}],["1.4679924249649048",{"_index":1297,"t":{},"b":{"5":{}}}],["1.468157172203064",{"_index":1298,"t":{},"b":{"5":{}}}],["1.4682527780532837",{"_index":1296,"t":{},"b":{"5":{}}}],["1.4691001176834106",{"_index":1295,"t":{},"b":{"5":{}}}],["1.4691554307937622",{"_index":1294,"t":{},"b":{"5":{}}}],["1.4697991609573364",{"_index":1293,"t":{},"b":{"5":{}}}],["1.470677375793457",{"_index":1292,"t":{},"b":{"5":{}}}],["1.47074556350708",{"_index":1291,"t":{},"b":{"5":{}}}],["1.4713517427444458",{"_index":1290,"t":{},"b":{"5":{}}}],["1.4715490341186523",{"_index":1289,"t":{},"b":{"5":{}}}],["1.4726825952529907",{"_index":1288,"t":{},"b":{"5":{}}}],["1.4731879234313965",{"_index":1287,"t":{},"b":{"5":{}}}],["1.4732745885849",{"_index":1286,"t":{},"b":{"5":{}}}],["1.4743404388427734",{"_index":1283,"t":{},"b":{"5":{}}}],["1.4751825332641602",{"_index":1285,"t":{},"b":{"5":{}}}],["1.475905418395996",{"_index":1282,"t":{},"b":{"5":{}}}],["1.4762519598007202",{"_index":1284,"t":{},"b":{"5":{}}}],["1.4783",{"_index":2842,"t":{},"b":{"20":{}}}],["1.48",{"_index":2767,"t":{},"b":{"19":{}}}],["1.5",{"_index":695,"t":{},"b":{"3":{},"5":{},"20":{}}}],["1.57653",{"_index":2683,"t":{},"b":{"18":{}}}],["1.5909",{"_index":1741,"t":{},"b":{"7":{}}}],["1.676",{"_index":641,"t":{},"b":{"2":{}}}],["1.70578",{"_index":2667,"t":{},"b":{"18":{}}}],["1.73",{"_index":348,"t":{},"b":{"1":{}}}],["1.9",{"_index":497,"t":{},"b":{"1":{}}}],["10",{"_index":35,"t":{"17":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["10.0",{"_index":3314,"t":{},"b":{"23":{}}}],["10.06",{"_index":3315,"t":{},"b":{"23":{}}}],["10.4",{"_index":1561,"t":{},"b":{"6":{}}}],["100",{"_index":1341,"t":{},"b":{"5":{},"6":{},"15":{}}}],["100.0",{"_index":297,"t":{},"b":{"1":{},"22":{}}}],["1000",{"_index":2140,"t":{},"b":{"11":{},"20":{},"22":{}}}],["104",{"_index":2197,"t":{},"b":{"12":{}}}],["104.469",{"_index":2671,"t":{},"b":{"18":{}}}],["104.644",{"_index":2670,"t":{},"b":{"18":{}}}],["105",{"_index":1239,"t":{},"b":{"5":{}}}],["1050",{"_index":1708,"t":{},"b":{"7":{}}}],["1065",{"_index":1707,"t":{},"b":{"7":{}}}],["10x10",{"_index":2055,"t":{},"b":{"10":{}}}],["11",{"_index":336,"t":{},"b":{"1":{},"7":{},"19":{}}}],["11.0",{"_index":2658,"t":{},"b":{"18":{},"23":{}}}],["11.1368",{"_index":302,"t":{},"b":{"1":{},"19":{}}}],["11.22",{"_index":3308,"t":{},"b":{"23":{}}}],["11.36",{"_index":351,"t":{},"b":{"1":{}}}],["11.3636",{"_index":298,"t":{},"b":{"1":{},"19":{}}}],["11.5",{"_index":1569,"t":{},"b":{"6":{},"9":{},"18":{}}}],["110.0",{"_index":3250,"t":{},"b":{"22":{}}}],["1100",{"_index":3207,"t":{},"b":{"22":{}}}],["111.0",{"_index":3309,"t":{},"b":{"23":{}}}],["113.0",{"_index":3316,"t":{},"b":{"23":{}}}],["114",{"_index":1240,"t":{},"b":{"5":{}}}],["11443.0",{"_index":838,"t":{},"b":{"4":{}}}],["1185",{"_index":1709,"t":{},"b":{"7":{}}}],["12",{"_index":342,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"11":{},"19":{}}}],["12.0",{"_index":2643,"t":{},"b":{"18":{},"23":{}}}],["12.1265",{"_index":323,"t":{},"b":{"1":{}}}],["12.6",{"_index":337,"t":{},"b":{"1":{}}}],["12.6531",{"_index":350,"t":{},"b":{"1":{},"19":{}}}],["120.0",{"_index":3306,"t":{},"b":{"23":{}}}],["123",{"_index":1241,"t":{},"b":{"5":{}}}],["1250",{"_index":2814,"t":{},"b":{"20":{}}}],["13",{"_index":347,"t":{},"b":{"1":{},"7":{},"19":{}}}],["13.0006",{"_index":1725,"t":{},"b":{"7":{}}}],["13.1",{"_index":1560,"t":{},"b":{"6":{}}}],["13.9",{"_index":1563,"t":{},"b":{"6":{}}}],["130.0",{"_index":2641,"t":{},"b":{"18":{},"22":{}}}],["1300",{"_index":3204,"t":{},"b":{"22":{}}}],["133",{"_index":1242,"t":{},"b":{"5":{},"6":{}}}],["138.0",{"_index":3303,"t":{},"b":{"23":{}}}],["138000.0",{"_index":852,"t":{},"b":{"4":{}}}],["14",{"_index":353,"t":{},"b":{"1":{},"19":{}}}],["14.2825",{"_index":1734,"t":{},"b":{"7":{}}}],["14.4748",{"_index":2501,"t":{},"b":{"17":{}}}],["140.0",{"_index":3244,"t":{},"b":{"22":{}}}],["141",{"_index":2905,"t":{},"b":{"20":{}}}],["142",{"_index":1243,"t":{},"b":{"5":{}}}],["144",{"_index":2904,"t":{},"b":{"20":{}}}],["1456",{"_index":811,"t":{},"b":{"4":{}}}],["1460.0",{"_index":837,"t":{},"b":{"4":{}}}],["1480",{"_index":1710,"t":{},"b":{"7":{}}}],["15",{"_index":427,"t":{},"b":{"1":{},"10":{}}}],["15.0",{"_index":2648,"t":{},"b":{"18":{}}}],["15.3",{"_index":210,"t":{},"b":{"1":{},"19":{}}}],["15.5",{"_index":2678,"t":{},"b":{"18":{}}}],["15.5413",{"_index":2677,"t":{},"b":{"18":{}}}],["150.0",{"_index":2656,"t":{},"b":{"18":{}}}],["1509.0",{"_index":842,"t":{},"b":{"4":{}}}],["151",{"_index":1244,"t":{},"b":{"5":{}}}],["151.0",{"_index":2669,"t":{},"b":{"18":{}}}],["16",{"_index":429,"t":{},"b":{"1":{},"15":{},"18":{}}}],["16.0",{"_index":3247,"t":{},"b":{"22":{},"23":{}}}],["16.1",{"_index":1137,"t":{},"b":{"5":{}}}],["160",{"_index":1245,"t":{},"b":{"5":{}}}],["165",{"_index":1956,"t":{},"b":{"9":{}}}],["165.0",{"_index":2650,"t":{},"b":{"18":{}}}],["168",{"_index":1958,"t":{},"b":{"9":{}}}],["168.537",{"_index":335,"t":{},"b":{"1":{},"19":{}}}],["169",{"_index":1246,"t":{},"b":{"5":{}}}],["16])3",{"_index":2612,"t":{},"b":{"18":{}}}],["17",{"_index":431,"t":{},"b":{"1":{}}}],["17.0",{"_index":3251,"t":{},"b":{"22":{},"23":{}}}],["17.025000",{"_index":2099,"t":{},"b":{"11":{}}}],["17.2",{"_index":1562,"t":{},"b":{"6":{}}}],["17.5",{"_index":1558,"t":{},"b":{"6":{}}}],["17.8",{"_index":222,"t":{},"b":{"1":{},"19":{}}}],["170.76",{"_index":2498,"t":{},"b":{"17":{}}}],["173",{"_index":1957,"t":{},"b":{"9":{}}}],["178",{"_index":1954,"t":{},"b":{"9":{}}}],["179",{"_index":1247,"t":{},"b":{"5":{}}}],["179454.34347399411",{"_index":907,"t":{},"b":{"4":{}}}],["18",{"_index":434,"t":{},"b":{"1":{}}}],["18.0",{"_index":202,"t":{},"b":{"1":{},"18":{},"19":{}}}],["18.1",{"_index":1142,"t":{},"b":{"5":{}}}],["18.4555",{"_index":339,"t":{},"b":{"1":{},"19":{}}}],["18.7",{"_index":238,"t":{},"b":{"1":{}}}],["18.9",{"_index":1555,"t":{},"b":{"6":{}}}],["180000.0",{"_index":854,"t":{},"b":{"4":{}}}],["1868.0",{"_index":836,"t":{},"b":{"4":{}}}],["187",{"_index":331,"t":{},"b":{"1":{}}}],["188",{"_index":413,"t":{},"b":{"1":{},"5":{}}}],["1893.0",{"_index":3282,"t":{},"b":{"22":{}}}],["19",{"_index":131,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["19.0",{"_index":1138,"t":{},"b":{"5":{},"22":{}}}],["19.05",{"_index":340,"t":{},"b":{"1":{}}}],["19.287175510952146",{"_index":3074,"t":{},"b":{"21":{}}}],["19.381831638657914",{"_index":3076,"t":{},"b":{"21":{}}}],["19.4",{"_index":1557,"t":{},"b":{"6":{}}}],["19.4949",{"_index":1731,"t":{},"b":{"7":{}}}],["194",{"_index":1955,"t":{},"b":{"9":{}}}],["194.412",{"_index":2668,"t":{},"b":{"18":{}}}],["197",{"_index":1248,"t":{},"b":{"5":{}}}],["1982",{"_index":833,"t":{},"b":{"4":{}}}],["1:10",{"_index":3097,"t":{},"b":{"21":{}}}],["1:1000",{"_index":2993,"t":{},"b":{"20":{}}}],["1:2]5×2",{"_index":259,"t":{},"b":{"1":{}}}],["1:3]3×3",{"_index":395,"t":{},"b":{"1":{}}}],["1:5",{"_index":654,"t":{},"b":{"2":{}}}],["1:findlast(x.year",{"_index":2922,"t":{},"b":{"20":{}}}],["1:i",{"_index":3100,"t":{},"b":{"21":{}}}],["1:nrows(data_test",{"_index":1489,"t":{},"b":{"6":{}}}],["1:nrows(data_train",{"_index":1487,"t":{},"b":{"6":{}}}],["1=adult",{"_index":1514,"t":{},"b":{"6":{}}}],["1=ye",{"_index":1512,"t":{},"b":{"6":{}}}],["1_000",{"_index":2617,"t":{},"b":{"18":{}}}],["1e",{"_index":2539,"t":{},"b":{"17":{}}}],["1exampl",{"_index":546,"t":{},"b":{"2":{}}}],["1st",{"_index":2097,"t":{},"b":{"11":{}}}],["1…05",{"_index":2950,"t":{},"b":{"20":{}}}],["1…06",{"_index":877,"t":{},"b":{"4":{}}}],["1…09",{"_index":1217,"t":{},"b":{"5":{}}}],["1…10",{"_index":2327,"t":{},"b":{"13":{}}}],["1…12",{"_index":2346,"t":{},"b":{"14":{}}}],["1…18",{"_index":2733,"t":{},"b":{"19":{}}}],["1…19",{"_index":3066,"t":{},"b":{"21":{}}}],["1…32",{"_index":2000,"t":{},"b":{"10":{}}}],["1…34",{"_index":2434,"t":{},"b":{"15":{}}}],["1…36",{"_index":3348,"t":{},"b":{"23":{}}}],["1…37",{"_index":964,"t":{},"b":{"4":{}}}],["1…42",{"_index":2286,"t":{},"b":{"13":{}}}],["1…43",{"_index":1937,"t":{},"b":{"8":{}}}],["1…44",{"_index":2888,"t":{},"b":{"20":{}}}],["1…45",{"_index":2738,"t":{},"b":{"19":{}}}],["1…55",{"_index":3022,"t":{},"b":{"21":{}}}],["1…65",{"_index":1076,"t":{},"b":{"4":{}}}],["1…70",{"_index":2388,"t":{},"b":{"15":{}}}],["1…73",{"_index":1361,"t":{},"b":{"5":{}}}],["1…77",{"_index":1100,"t":{},"b":{"4":{}}}],["1…78",{"_index":3109,"t":{},"b":{"21":{}}}],["1…81",{"_index":2723,"t":{},"b":{"19":{}}}],["1…91",{"_index":950,"t":{},"b":{"4":{}}}],["1…92",{"_index":2351,"t":{},"b":{"14":{}}}],["1…95",{"_index":942,"t":{},"b":{"4":{}}}],["2",{"_index":22,"t":{"11":{},"14":{},"18":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2))2×2",{"_index":2601,"t":{},"b":{"18":{}}}],["2)2×13",{"_index":272,"t":{},"b":{"1":{}}}],["2)2×2",{"_index":279,"t":{},"b":{"1":{},"18":{}}}],["2)2×3",{"_index":267,"t":{},"b":{"1":{}}}],["2)more",{"_index":1118,"t":{},"b":{"5":{}}}],["2,2.0,2,two,2019",{"_index":592,"t":{},"b":{"2":{}}}],["2.0",{"_index":2393,"t":{},"b":{"15":{},"18":{}}}],["2.02927",{"_index":1737,"t":{},"b":{"7":{}}}],["2.10571",{"_index":326,"t":{},"b":{"1":{},"19":{}}}],["2.125",{"_index":649,"t":{},"b":{"2":{}}}],["2.16495",{"_index":341,"t":{},"b":{"1":{},"19":{}}}],["2.18",{"_index":232,"t":{},"b":{"1":{}}}],["2.189",{"_index":644,"t":{},"b":{"2":{}}}],["2.220446049250313e",{"_index":2403,"t":{},"b":{"15":{}}}],["2.29511",{"_index":1735,"t":{},"b":{"7":{}}}],["2.3",{"_index":492,"t":{},"b":{"1":{},"3":{}}}],["2.31",{"_index":203,"t":{},"b":{"1":{},"19":{}}}],["2.31829",{"_index":1744,"t":{},"b":{"7":{}}}],["2.33635",{"_index":1727,"t":{},"b":{"7":{}}}],["2.36652",{"_index":1729,"t":{},"b":{"7":{}}}],["2.5",{"_index":1032,"t":{},"b":{"4":{}}}],["2.61169",{"_index":1747,"t":{},"b":{"7":{}}}],["2.69",{"_index":2764,"t":{},"b":{"19":{}}}],["2.75886",{"_index":2679,"t":{},"b":{"18":{}}}],["2.9",{"_index":318,"t":{},"b":{"1":{}}}],["2.94",{"_index":240,"t":{},"b":{"1":{}}}],["20",{"_index":1533,"t":{},"b":{"6":{},"7":{},"10":{},"22":{}}}],["20.8",{"_index":1143,"t":{},"b":{"5":{}}}],["20.82",{"_index":3129,"t":{},"b":{"21":{}}}],["20.83",{"_index":3121,"t":{},"b":{"21":{}}}],["20.89",{"_index":3123,"t":{},"b":{"21":{}}}],["200",{"_index":1127,"t":{},"b":{"5":{}}}],["2003",{"_index":832,"t":{},"b":{"4":{}}}],["2003.02",{"_index":2830,"t":{},"b":{"20":{}}}],["2005",{"_index":841,"t":{},"b":{"4":{},"20":{}}}],["2006",{"_index":840,"t":{},"b":{"4":{}}}],["2020",{"_index":132,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2028.0",{"_index":834,"t":{},"b":{"4":{}}}],["206",{"_index":1249,"t":{},"b":{"5":{}}}],["21.0",{"_index":3252,"t":{},"b":{"22":{}}}],["21.11",{"_index":3130,"t":{},"b":{"21":{}}}],["21.2",{"_index":356,"t":{},"b":{"1":{}}}],["21.200000",{"_index":2100,"t":{},"b":{"11":{}}}],["21.232",{"_index":2502,"t":{},"b":{"17":{}}}],["21.24",{"_index":3127,"t":{},"b":{"21":{}}}],["21.27",{"_index":3124,"t":{},"b":{"21":{}}}],["21.6",{"_index":224,"t":{},"b":{"1":{},"19":{}}}],["215",{"_index":1250,"t":{},"b":{"5":{}}}],["22.0",{"_index":338,"t":{},"b":{"1":{}}}],["22.4",{"_index":1147,"t":{},"b":{"5":{}}}],["22.5328",{"_index":355,"t":{},"b":{"1":{},"19":{}}}],["22.532806",{"_index":2095,"t":{},"b":{"11":{}}}],["22.7",{"_index":1559,"t":{},"b":{"6":{}}}],["22.75",{"_index":2664,"t":{},"b":{"18":{}}}],["222",{"_index":237,"t":{},"b":{"1":{}}}],["223.05",{"_index":3125,"t":{},"b":{"21":{}}}],["224",{"_index":1251,"t":{},"b":{"5":{}}}],["225",{"_index":3036,"t":{},"b":{"21":{}}}],["23",{"_index":1948,"t":{},"b":{"9":{}}}],["23.3225",{"_index":299,"t":{},"b":{"1":{},"19":{}}}],["23.4459",{"_index":2663,"t":{},"b":{"18":{}}}],["23.493990895007986",{"_index":3073,"t":{},"b":{"21":{}}}],["230.0",{"_index":3248,"t":{},"b":{"22":{}}}],["234",{"_index":1252,"t":{},"b":{"5":{}}}],["24",{"_index":327,"t":{},"b":{"1":{},"19":{}}}],["24.0",{"_index":213,"t":{},"b":{"1":{},"19":{}}}],["242",{"_index":221,"t":{},"b":{"1":{},"19":{}}}],["243",{"_index":1253,"t":{},"b":{"5":{}}}],["25",{"_index":1950,"t":{},"b":{"9":{}}}],["25.000000",{"_index":2102,"t":{},"b":{"11":{}}}],["25.63",{"_index":3122,"t":{},"b":{"21":{}}}],["250",{"_index":2138,"t":{},"b":{"11":{}}}],["2500",{"_index":3186,"t":{},"b":{"22":{}}}],["252",{"_index":1254,"t":{},"b":{"5":{}}}],["256",{"_index":1185,"t":{},"b":{"5":{}}}],["25th",{"_index":369,"t":{},"b":{"1":{}}}],["260.0",{"_index":3311,"t":{},"b":{"23":{}}}],["261",{"_index":1255,"t":{},"b":{"5":{}}}],["269.0",{"_index":3318,"t":{},"b":{"23":{}}}],["27.33",{"_index":3128,"t":{},"b":{"21":{}}}],["27.74",{"_index":301,"t":{},"b":{"1":{}}}],["27.825594022071243",{"_index":1634,"t":{},"b":{"6":{}}}],["270",{"_index":1256,"t":{},"b":{"5":{}}}],["276.0",{"_index":3305,"t":{},"b":{"23":{}}}],["28",{"_index":1477,"t":{},"b":{"6":{},"7":{}}}],["28.1489",{"_index":321,"t":{},"b":{"1":{},"19":{}}}],["280",{"_index":1257,"t":{},"b":{"5":{}}}],["2803.5",{"_index":2675,"t":{},"b":{"18":{}}}],["289",{"_index":1258,"t":{},"b":{"5":{}}}],["295",{"_index":416,"t":{},"b":{"1":{}}}],["296",{"_index":209,"t":{},"b":{"1":{},"19":{}}}],["2977.58",{"_index":2674,"t":{},"b":{"18":{}}}],["298",{"_index":1259,"t":{},"b":{"5":{}}}],["2=no",{"_index":1513,"t":{},"b":{"6":{}}}],["2=young",{"_index":1515,"t":{},"b":{"6":{}}}],["2]]x[1",{"_index":2627,"t":{},"b":{"18":{}}}],["2d",{"_index":1806,"t":{},"b":{"7":{},"11":{},"24":{}}}],["2in",{"_index":547,"t":{},"b":{"2":{}}}],["2x.x1",{"_index":2428,"t":{},"b":{"15":{}}}],["2x3",{"_index":2257,"t":{},"b":{"13":{},"14":{}}}],["2xraw[:,3",{"_index":1993,"t":{},"b":{"10":{}}}],["2…07",{"_index":1203,"t":{},"b":{"5":{}}}],["2…10",{"_index":2352,"t":{},"b":{"14":{}}}],["2…14",{"_index":2342,"t":{},"b":{"14":{}}}],["2…63",{"_index":2290,"t":{},"b":{"13":{}}}],["2…80",{"_index":1060,"t":{},"b":{"4":{}}}],["3",{"_index":29,"t":{"19":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["3)3×14",{"_index":2725,"t":{},"b":{"19":{}}}],["3)3×4",{"_index":384,"t":{},"b":{"1":{}}}],["3)3×5",{"_index":450,"t":{},"b":{"1":{},"2":{}}}],["3)3×7",{"_index":638,"t":{},"b":{"2":{}}}],["3)3×9",{"_index":2633,"t":{},"b":{"18":{}}}],["3)thi",{"_index":1119,"t":{},"b":{"5":{}}}],["3,3.0,3.14,three,2019",{"_index":595,"t":{},"b":{"2":{}}}],["3.0",{"_index":462,"t":{},"b":{"1":{},"8":{},"15":{},"18":{}}}],["3.115",{"_index":648,"t":{},"b":{"2":{}}}],["3.2",{"_index":464,"t":{},"b":{"1":{},"8":{}}}],["3.20745",{"_index":325,"t":{},"b":{"1":{}}}],["3.26",{"_index":639,"t":{},"b":{"2":{}}}],["3.33956",{"_index":1732,"t":{},"b":{"7":{}}}],["3.428",{"_index":493,"t":{},"b":{"1":{}}}],["3.5",{"_index":457,"t":{},"b":{"1":{},"8":{}}}],["3.531",{"_index":652,"t":{},"b":{"2":{}}}],["3.561",{"_index":312,"t":{},"b":{"1":{}}}],["3.61352",{"_index":294,"t":{},"b":{"1":{},"19":{}}}],["3.68374",{"_index":2682,"t":{},"b":{"18":{}}}],["3.77",{"_index":643,"t":{},"b":{"2":{}}}],["3.79504",{"_index":324,"t":{},"b":{"1":{},"19":{}}}],["3.81",{"_index":2765,"t":{},"b":{"19":{}}}],["30",{"_index":1503,"t":{},"b":{"6":{},"7":{},"8":{}}}],["300",{"_index":1476,"t":{},"b":{"6":{},"11":{}}}],["301",{"_index":418,"t":{},"b":{"1":{}}}],["307",{"_index":1260,"t":{},"b":{"5":{}}}],["307.0",{"_index":2640,"t":{},"b":{"18":{}}}],["309",{"_index":1541,"t":{},"b":{"6":{}}}],["314.907",{"_index":1750,"t":{},"b":{"7":{}}}],["316",{"_index":1261,"t":{},"b":{"5":{}}}],["318.0",{"_index":2655,"t":{},"b":{"18":{}}}],["320",{"_index":2654,"t":{},"b":{"18":{}}}],["322",{"_index":3150,"t":{},"b":{"22":{}}}],["326",{"_index":1262,"t":{},"b":{"5":{}}}],["33",{"_index":2125,"t":{},"b":{"11":{}}}],["33.4",{"_index":241,"t":{},"b":{"1":{}}}],["330.0",{"_index":334,"t":{},"b":{"1":{}}}],["335",{"_index":1263,"t":{},"b":{"5":{}}}],["34",{"_index":1949,"t":{},"b":{"9":{}}}],["34.6",{"_index":2745,"t":{},"b":{"19":{}}}],["34.7",{"_index":230,"t":{},"b":{"1":{},"6":{},"19":{}}}],["3436.0",{"_index":2657,"t":{},"b":{"18":{}}}],["344",{"_index":1264,"t":{},"b":{"5":{}}}],["348",{"_index":2979,"t":{},"b":{"20":{}}}],["35.0",{"_index":3317,"t":{},"b":{"23":{}}}],["35.5",{"_index":1564,"t":{},"b":{"6":{}}}],["350.0",{"_index":2649,"t":{},"b":{"18":{}}}],["3504.0",{"_index":2642,"t":{},"b":{"18":{}}}],["353",{"_index":1265,"t":{},"b":{"5":{}}}],["356.674",{"_index":344,"t":{},"b":{"1":{},"19":{}}}],["36",{"_index":433,"t":{},"b":{"1":{}}}],["36.1",{"_index":1565,"t":{},"b":{"6":{}}}],["36.5",{"_index":2759,"t":{},"b":{"19":{}}}],["362",{"_index":1266,"t":{},"b":{"5":{}}}],["3693.0",{"_index":2651,"t":{},"b":{"18":{}}}],["369900.0",{"_index":853,"t":{},"b":{"4":{}}}],["37.97",{"_index":349,"t":{},"b":{"1":{}}}],["371",{"_index":1267,"t":{},"b":{"5":{}}}],["38.0",{"_index":3243,"t":{},"b":{"22":{}}}],["38.4912",{"_index":2673,"t":{},"b":{"18":{}}}],["381",{"_index":1268,"t":{},"b":{"5":{}}}],["39.1",{"_index":1567,"t":{},"b":{"6":{}}}],["390",{"_index":1269,"t":{},"b":{"5":{}}}],["391.44",{"_index":345,"t":{},"b":{"1":{}}}],["392",{"_index":2693,"t":{},"b":{"18":{}}}],["392.83",{"_index":228,"t":{},"b":{"1":{},"19":{}}}],["393.0",{"_index":848,"t":{},"b":{"4":{}}}],["394.63",{"_index":239,"t":{},"b":{"1":{}}}],["396.9",{"_index":211,"t":{},"b":{"1":{},"19":{}}}],["399",{"_index":1270,"t":{},"b":{"5":{}}}],["3rd",{"_index":2101,"t":{},"b":{"11":{}}}],["3…25",{"_index":1059,"t":{},"b":{"4":{}}}],["3…30",{"_index":2348,"t":{},"b":{"14":{}}}],["3…87",{"_index":2325,"t":{},"b":{"13":{}}}],["4",{"_index":30,"t":{"20":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["4)4×14",{"_index":198,"t":{},"b":{"1":{}}}],["4.0",{"_index":2613,"t":{},"b":{"18":{}}}],["4.019392784926215",{"_index":2163,"t":{},"b":{"11":{}}}],["4.03",{"_index":229,"t":{},"b":{"1":{},"19":{}}}],["4.09",{"_index":208,"t":{},"b":{"1":{},"19":{}}}],["4.1",{"_index":3245,"t":{},"b":{"22":{}}}],["4.26",{"_index":510,"t":{},"b":{"1":{}}}],["4.3",{"_index":489,"t":{},"b":{"1":{}}}],["4.35551",{"_index":2497,"t":{},"b":{"17":{}}}],["4.4",{"_index":494,"t":{},"b":{"1":{}}}],["4.7",{"_index":463,"t":{},"b":{"1":{},"8":{}}}],["4.9",{"_index":461,"t":{},"b":{"1":{},"8":{}}}],["4.9671",{"_index":220,"t":{},"b":{"1":{},"19":{}}}],["4.98",{"_index":212,"t":{},"b":{"1":{},"19":{}}}],["40",{"_index":2198,"t":{},"b":{"12":{}}}],["408",{"_index":1271,"t":{},"b":{"5":{}}}],["408.237",{"_index":333,"t":{},"b":{"1":{},"19":{}}}],["417",{"_index":1272,"t":{},"b":{"5":{}}}],["42.0",{"_index":3307,"t":{},"b":{"23":{}}}],["427",{"_index":1273,"t":{},"b":{"5":{}}}],["436",{"_index":1274,"t":{},"b":{"5":{}}}],["445",{"_index":1275,"t":{},"b":{"5":{}}}],["45",{"_index":1704,"t":{},"b":{"7":{},"9":{}}}],["45.8",{"_index":235,"t":{},"b":{"1":{}}}],["454",{"_index":1276,"t":{},"b":{"5":{}}}],["458",{"_index":2906,"t":{},"b":{"20":{}}}],["46",{"_index":426,"t":{},"b":{"1":{}}}],["463",{"_index":1277,"t":{},"b":{"5":{}}}],["47.0",{"_index":3253,"t":{},"b":{"22":{}}}],["472",{"_index":1278,"t":{},"b":{"5":{}}}],["48.0",{"_index":3310,"t":{},"b":{"23":{}}}],["482",{"_index":1279,"t":{},"b":{"5":{}}}],["491",{"_index":1280,"t":{},"b":{"5":{}}}],["4]2×2",{"_index":2596,"t":{},"b":{"18":{}}}],["4…06",{"_index":2394,"t":{},"b":{"15":{}}}],["4…47",{"_index":2313,"t":{},"b":{"13":{}}}],["4…81",{"_index":2233,"t":{},"b":{"12":{}}}],["4…83",{"_index":1784,"t":{},"b":{"7":{}}}],["4…91",{"_index":1077,"t":{},"b":{"4":{}}}],["4…97",{"_index":1998,"t":{},"b":{"10":{}}}],["5",{"_index":31,"t":{"21":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["5.0",{"_index":329,"t":{},"b":{"1":{},"13":{}}}],["5.000000",{"_index":2096,"t":{},"b":{"11":{}}}],["5.006",{"_index":490,"t":{},"b":{"1":{}}}],["5.05809",{"_index":1743,"t":{},"b":{"7":{}}}],["5.1",{"_index":456,"t":{},"b":{"1":{},"8":{}}}],["5.47194",{"_index":2666,"t":{},"b":{"18":{}}}],["5.552",{"_index":511,"t":{},"b":{"1":{}}}],["5.8",{"_index":491,"t":{},"b":{"1":{}}}],["50",{"_index":1233,"t":{},"b":{"5":{},"22":{}}}],["50.0",{"_index":354,"t":{},"b":{"1":{}}}],["50.000000",{"_index":2103,"t":{},"b":{"11":{}}}],["500",{"_index":1281,"t":{},"b":{"5":{},"11":{}}}],["506",{"_index":724,"t":{},"b":{"3":{},"11":{}}}],["507",{"_index":2907,"t":{},"b":{"20":{}}}],["52.7",{"_index":1570,"t":{},"b":{"6":{}}}],["5474",{"_index":2978,"t":{},"b":{"20":{}}}],["55",{"_index":2199,"t":{},"b":{"12":{}}}],["59",{"_index":1234,"t":{},"b":{"5":{}}}],["59.0",{"_index":3321,"t":{},"b":{"23":{}}}],["5]0.469",{"_index":253,"t":{},"b":{"1":{}}}],["5th",{"_index":3133,"t":{},"b":{"21":{}}}],["5…08",{"_index":2191,"t":{},"b":{"12":{}}}],["5…17",{"_index":868,"t":{},"b":{"4":{}}}],["5…63",{"_index":1401,"t":{},"b":{"5":{}}}],["5…88",{"_index":1945,"t":{},"b":{"8":{}}}],["5…98",{"_index":2405,"t":{},"b":{"15":{}}}],["6",{"_index":311,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["6.0622",{"_index":236,"t":{},"b":{"1":{}}}],["6.2085",{"_index":315,"t":{},"b":{"1":{}}}],["6.28463",{"_index":314,"t":{},"b":{"1":{},"19":{}}}],["6.421",{"_index":218,"t":{},"b":{"1":{},"19":{}}}],["6.575",{"_index":206,"t":{},"b":{"1":{},"19":{}}}],["6.7",{"_index":1136,"t":{},"b":{"5":{}}}],["6.86035",{"_index":304,"t":{},"b":{"1":{},"19":{}}}],["6.998",{"_index":234,"t":{},"b":{"1":{}}}],["61.1",{"_index":227,"t":{},"b":{"1":{},"19":{}}}],["63.9",{"_index":1571,"t":{},"b":{"6":{}}}],["65.0",{"_index":3313,"t":{},"b":{"23":{}}}],["65.2",{"_index":207,"t":{},"b":{"1":{},"19":{}}}],["65.54",{"_index":2500,"t":{},"b":{"17":{}}}],["6600.0",{"_index":830,"t":{},"b":{"4":{}}}],["67",{"_index":1209,"t":{},"b":{"5":{},"9":{}}}],["68",{"_index":1235,"t":{},"b":{"5":{},"6":{}}}],["68.5749",{"_index":319,"t":{},"b":{"1":{},"19":{}}}],["6b",{"_index":32,"t":{"22":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["6…35",{"_index":1635,"t":{},"b":{"6":{}}}],["7",{"_index":317,"t":{},"b":{"1":{},"4":{},"7":{},"11":{},"18":{},"19":{},"20":{}}}],["7.0",{"_index":1139,"t":{},"b":{"5":{}}}],["7.06220240533269",{"_index":2120,"t":{},"b":{"11":{}}}],["7.07",{"_index":216,"t":{},"b":{"1":{},"19":{}}}],["7.1",{"_index":1556,"t":{},"b":{"6":{}}}],["7.14106",{"_index":352,"t":{},"b":{"1":{},"19":{}}}],["7.185",{"_index":226,"t":{},"b":{"1":{},"19":{}}}],["7.4",{"_index":1144,"t":{},"b":{"5":{}}}],["7.7",{"_index":1141,"t":{},"b":{"5":{}}}],["7.788",{"_index":2496,"t":{},"b":{"17":{}}}],["7.8",{"_index":1146,"t":{},"b":{"5":{}}}],["7.80501",{"_index":2665,"t":{},"b":{"18":{}}}],["70.0",{"_index":2644,"t":{},"b":{"18":{},"22":{}}}],["70:30",{"_index":883,"t":{},"b":{"4":{}}}],["71.0",{"_index":3254,"t":{},"b":{"22":{}}}],["711",{"_index":332,"t":{},"b":{"1":{}}}],["73",{"_index":1208,"t":{},"b":{"5":{}}}],["73.0",{"_index":3304,"t":{},"b":{"23":{}}}],["735",{"_index":1711,"t":{},"b":{"7":{}}}],["74.0",{"_index":3246,"t":{},"b":{"22":{}}}],["746.893",{"_index":1749,"t":{},"b":{"7":{}}}],["75.9796",{"_index":2680,"t":{},"b":{"18":{}}}],["750",{"_index":2139,"t":{},"b":{"11":{}}}],["75702.41122812725",{"_index":890,"t":{},"b":{"4":{}}}],["75th",{"_index":370,"t":{},"b":{"1":{}}}],["76.0",{"_index":2681,"t":{},"b":{"18":{}}}],["77.5",{"_index":320,"t":{},"b":{"1":{}}}],["78",{"_index":1236,"t":{},"b":{"5":{}}}],["78.9",{"_index":219,"t":{},"b":{"1":{},"19":{}}}],["783.0",{"_index":845,"t":{},"b":{"4":{}}}],["7875.0",{"_index":846,"t":{},"b":{"4":{}}}],["7…41",{"_index":2112,"t":{},"b":{"11":{}}}],["7…99",{"_index":3110,"t":{},"b":{"21":{}}}],["8",{"_index":33,"t":{"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["8.0",{"_index":2639,"t":{},"b":{"18":{}}}],["8.1",{"_index":1135,"t":{},"b":{"5":{}}}],["8.60155",{"_index":296,"t":{},"b":{"1":{},"19":{}}}],["8.70726",{"_index":330,"t":{},"b":{"1":{},"19":{}}}],["8.78",{"_index":313,"t":{},"b":{"1":{}}}],["8.8",{"_index":1140,"t":{},"b":{"5":{}}}],["80.0",{"_index":3319,"t":{},"b":{"23":{}}}],["80/20",{"_index":2151,"t":{},"b":{"11":{}}}],["807.0",{"_index":844,"t":{},"b":{"4":{}}}],["81.1",{"_index":1566,"t":{},"b":{"6":{}}}],["816.0",{"_index":828,"t":{},"b":{"4":{}}}],["83.0",{"_index":3312,"t":{},"b":{"23":{}}}],["83.3377",{"_index":2499,"t":{},"b":{"17":{}}}],["84.0",{"_index":3249,"t":{},"b":{"22":{}}}],["849.403",{"_index":2676,"t":{},"b":{"18":{}}}],["86",{"_index":2964,"t":{},"b":{"20":{}}}],["87",{"_index":1237,"t":{},"b":{"5":{}}}],["88.9762",{"_index":293,"t":{},"b":{"1":{}}}],["880.0",{"_index":839,"t":{},"b":{"4":{}}}],["8…11",{"_index":2185,"t":{},"b":{"12":{}}}],["8…14",{"_index":1058,"t":{},"b":{"4":{}}}],["9",{"_index":34,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["9.14",{"_index":223,"t":{},"b":{"1":{},"19":{}}}],["9.1971",{"_index":357,"t":{},"b":{"1":{},"19":{}}}],["9.2",{"_index":1145,"t":{},"b":{"5":{}}}],["9.36638",{"_index":2503,"t":{},"b":{"17":{}}}],["9.5",{"_index":3302,"t":{},"b":{"23":{}}}],["9.54941",{"_index":328,"t":{},"b":{"1":{},"19":{}}}],["9.69",{"_index":303,"t":{},"b":{"1":{}}}],["9.84",{"_index":1568,"t":{},"b":{"6":{}}}],["90",{"_index":1785,"t":{},"b":{"7":{}}}],["91.2949",{"_index":346,"t":{},"b":{"1":{},"19":{}}}],["93.5",{"_index":2672,"t":{},"b":{"18":{}}}],["96",{"_index":1238,"t":{},"b":{"5":{}}}],["98.83",{"_index":3126,"t":{},"b":{"21":{}}}],["99.7416",{"_index":1733,"t":{},"b":{"7":{}}}],["9…00",{"_index":3116,"t":{},"b":{"21":{}}}],["9…25",{"_index":2407,"t":{},"b":{"15":{}}}],["9…40",{"_index":2292,"t":{},"b":{"13":{}}}],["9…58",{"_index":1594,"t":{},"b":{"6":{}}}],["9…91",{"_index":1770,"t":{},"b":{"7":{}}}],["9…98",{"_index":967,"t":{},"b":{"4":{}}}],["_.name",{"_index":720,"t":{},"b":{"3":{}}}],["_.nrow",{"_index":723,"t":{},"b":{"3":{}}}],["_.scityp",{"_index":722,"t":{},"b":{"3":{}}}],["_.type",{"_index":721,"t":{},"b":{"3":{}}}],["_20",{"_index":831,"t":{},"b":{"4":{}}}],["_60",{"_index":847,"t":{},"b":{"4":{}}}],["aa",{"_index":67,"t":{},"b":{"0":{},"3":{}}}],["aad",{"_index":415,"t":{},"b":{"1":{}}}],["aao",{"_index":414,"t":{},"b":{"1":{}}}],["abdomcentesis_appear",{"_index":1461,"t":{},"b":{"6":{}}}],["abdomcentesis_total_protein",{"_index":1462,"t":{},"b":{"6":{}}}],["abdomen",{"_index":1458,"t":{},"b":{"6":{}}}],["abdominal_distens",{"_index":1453,"t":{},"b":{"6":{}}}],["abov",{"_index":1600,"t":{},"b":{"6":{},"10":{},"13":{},"15":{},"18":{},"22":{}}}],["abstract",{"_index":2322,"t":{},"b":{"13":{}}}],["abstractarray{continuous,1",{"_index":855,"t":{},"b":{"4":{}}}],["abstractarray{count,1",{"_index":1700,"t":{},"b":{"7":{},"23":{}}}],["abstractarray{multiclass{2},1",{"_index":3193,"t":{},"b":{"22":{}}}],["acceler",{"_index":1096,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"18":{},"21":{}}}],["acceleration_resampl",{"_index":1098,"t":{},"b":{"4":{},"15":{},"21":{}}}],["access",{"_index":169,"t":{},"b":{"1":{},"2":{},"4":{},"9":{},"10":{},"13":{}}}],["accesss",{"_index":2686,"t":{},"b":{"18":{}}}],["account",{"_index":3002,"t":{},"b":{"20":{}}}],["accuraci",{"_index":2908,"t":{},"b":{"20":{},"22":{}}}],["accuracy(cm",{"_index":2911,"t":{},"b":{"20":{}}}],["accuracy(i",{"_index":2910,"t":{},"b":{"20":{}}}],["achiev",{"_index":1846,"t":{},"b":{"7":{}}}],["acid",{"_index":1676,"t":{},"b":{"7":{}}}],["actual",{"_index":1389,"t":{},"b":{"5":{},"6":{},"13":{}}}],["acycl",{"_index":2273,"t":{},"b":{"13":{}}}],["ad",{"_index":397,"t":{},"b":{"1":{},"8":{},"16":{}}}],["adabooststumpclassifi",{"_index":1894,"t":{},"b":{"8":{}}}],["adapt",{"_index":146,"t":{},"b":{"1":{},"16":{}}}],["add",{"_index":2362,"t":{},"b":{"14":{},"18":{},"19":{},"23":{}}}],["addit",{"_index":2785,"t":{},"b":{"19":{}}}],["addition",{"_index":2461,"t":{},"b":{"16":{}}}],["adjust",{"_index":3232,"t":{},"b":{"22":{},"23":{}}}],["advertis",{"_index":3296,"t":{},"b":{"23":{}}}],["ag",{"_index":185,"t":{},"b":{"1":{},"3":{},"6":{},"9":{},"19":{},"23":{}}}],["again",{"_index":1122,"t":{},"b":{"5":{},"11":{},"19":{},"23":{}}}],["age=>continu",{"_index":1967,"t":{},"b":{"9":{}}}],["aggreg",{"_index":523,"t":{},"b":{"1":{}}}],["ai2cod",{"_index":420,"t":{},"b":{"1":{}}}],["aim",{"_index":2479,"t":{},"b":{"16":{}}}],["aka",{"_index":2883,"t":{},"b":{"20":{}}}],["alcalin",{"_index":1678,"t":{},"b":{"7":{}}}],["alcool",{"_index":1674,"t":{},"b":{"7":{}}}],["algorithm",{"_index":934,"t":{},"b":{"4":{},"8":{},"10":{},"12":{}}}],["all_nam",{"_index":3260,"t":{},"b":{"22":{}}}],["all_names[idxshow",{"_index":3270,"t":{},"b":{"22":{}}}],["allow",{"_index":467,"t":{},"b":{"1":{},"2":{},"3":{},"14":{},"18":{},"20":{}}}],["allowrankdefici",{"_index":1944,"t":{},"b":{"8":{}}}],["alon",{"_index":2381,"t":{},"b":{"14":{}}}],["along",{"_index":1868,"t":{},"b":{"8":{}}}],["alpha",{"_index":1172,"t":{},"b":{"5":{}}}],["alreadi",{"_index":1802,"t":{},"b":{"7":{},"20":{}}}],["altern",{"_index":2368,"t":{},"b":{"14":{}}}],["alway",{"_index":1363,"t":{},"b":{"5":{},"10":{},"16":{},"19":{}}}],["am",{"_index":38,"t":{"4":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ambigu",{"_index":684,"t":{},"b":{"3":{}}}],["amplitud",{"_index":1721,"t":{},"b":{"7":{}}}],["analys",{"_index":472,"t":{},"b":{"1":{},"3":{},"16":{}}}],["analysi",{"_index":389,"t":{},"b":{"1":{},"6":{},"7":{},"16":{},"18":{}}}],["annot",{"_index":47,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["anoth",{"_index":109,"t":{},"b":{"0":{},"6":{},"8":{},"13":{},"18":{}}}],["anthoni",{"_index":123,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["anyon",{"_index":2419,"t":{},"b":{"15":{}}}],["apart",{"_index":2984,"t":{},"b":{"20":{}}}],["appli",{"_index":144,"t":{},"b":{"1":{},"4":{},"6":{},"9":{},"12":{},"13":{},"19":{}}}],["appreci",{"_index":2455,"t":{},"b":{"16":{}}}],["approach",{"_index":2338,"t":{},"b":{"14":{}}}],["appropri",{"_index":732,"t":{},"b":{"3":{},"8":{},"12":{},"19":{},"22":{}}}],["arbitrari",{"_index":580,"t":{},"b":{"2":{}}}],["arbitrarili",{"_index":1344,"t":{},"b":{"5":{}}}],["area",{"_index":3003,"t":{},"b":{"20":{}}}],["argmin(res.measur",{"_index":3131,"t":{},"b":{"21":{}}}],["argmin(res.measurements)round.(res.measur",{"_index":3120,"t":{},"b":{"21":{}}}],["argument",{"_index":606,"t":{},"b":{"2":{},"8":{}}}],["around",{"_index":172,"t":{},"b":{"1":{},"4":{},"5":{},"11":{},"13":{},"22":{}}}],["array",{"_index":10,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["array{float64,1",{"_index":248,"t":{},"b":{"1":{},"4":{},"17":{},"18":{},"22":{},"24":{}}}],["array{float64,2",{"_index":396,"t":{},"b":{"1":{},"20":{}}}],["array{int64,1",{"_index":100,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"12":{},"18":{}}}],["array{int64,2",{"_index":2597,"t":{},"b":{"18":{}}}],["array{mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1055,"t":{},"b":{"4":{}}}],["array{string,1",{"_index":83,"t":{},"b":{"0":{},"1":{},"20":{}}}],["array{symbol,1",{"_index":178,"t":{},"b":{"1":{},"17":{},"18":{}}}],["array{univariatefinite{string,uint8,float64},1",{"_index":2891,"t":{},"b":{"20":{}}}],["arrow",{"_index":789,"t":{},"b":{"4":{},"7":{},"13":{}}}],["ash",{"_index":1677,"t":{},"b":{"7":{}}}],["asid",{"_index":1771,"t":{},"b":{"7":{},"20":{}}}],["assault",{"_index":2491,"t":{},"b":{"17":{}}}],["assess",{"_index":910,"t":{},"b":{"4":{}}}],["assign",{"_index":2570,"t":{},"b":{"17":{}}}],["assist",{"_index":3165,"t":{},"b":{"22":{}}}],["associ",{"_index":2462,"t":{},"b":{"16":{}}}],["assum",{"_index":1494,"t":{},"b":{"6":{},"13":{},"16":{}}}],["assumpt",{"_index":2941,"t":{},"b":{"20":{}}}],["atbat",{"_index":3151,"t":{},"b":{"22":{}}}],["atom",{"_index":2010,"t":{},"b":{"10":{},"15":{}}}],["atom.k",{"_index":2047,"t":{},"b":{"10":{}}}],["atom.n_subfeatur",{"_index":2147,"t":{},"b":{"11":{},"15":{}}}],["atomic_weight",{"_index":2041,"t":{},"b":{"10":{},"11":{},"15":{}}}],["attent",{"_index":726,"t":{},"b":{"3":{}}}],["attribut",{"_index":1694,"t":{},"b":{"7":{},"14":{}}}],["auc",{"_index":3001,"t":{},"b":{"20":{}}}],["auc(i",{"_index":3005,"t":{},"b":{"20":{}}}],["aucstock",{"_index":2809,"t":{},"b":{"20":{}}}],["auto",{"_index":1174,"t":{},"b":{"5":{},"8":{},"18":{},"21":{}}}],["auto.mpg",{"_index":2687,"t":{},"b":{"18":{}}}],["automat",{"_index":762,"t":{},"b":{"3":{},"5":{}}}],["autotyp",{"_index":759,"t":{},"b":{"3":{},"6":{},"16":{}}}],["autotype(boston",{"_index":774,"t":{},"b":{"3":{},"19":{}}}],["autotype(data",{"_index":1497,"t":{},"b":{"6":{}}}],["autotype(datac",{"_index":1526,"t":{},"b":{"6":{}}}],["autotype(x",{"_index":3191,"t":{},"b":{"22":{},"23":{}}}],["avail",{"_index":1882,"t":{},"b":{"8":{},"18":{},"20":{}}}],["averag",{"_index":925,"t":{},"b":{"4":{},"12":{},"20":{}}}],["away",{"_index":2323,"t":{},"b":{"13":{}}}],["b",{"_index":1129,"t":{},"b":{"5":{}}}],["b1",{"_index":264,"t":{},"b":{"1":{}}}],["b2",{"_index":269,"t":{},"b":{"1":{}}}],["b_rang",{"_index":2044,"t":{},"b":{"10":{}}}],["babi",{"_index":782,"t":{},"b":{"4":{}}}],["back",{"_index":2282,"t":{},"b":{"13":{},"19":{}}}],["backend",{"_index":2698,"t":{},"b":{"18":{}}}],["background",{"_index":2328,"t":{},"b":{"13":{}}}],["backslash",{"_index":2719,"t":{},"b":{"19":{}}}],["bad",{"_index":1621,"t":{},"b":{"6":{},"20":{},"22":{},"23":{},"24":{}}}],["badli",{"_index":1153,"t":{},"b":{"5":{}}}],["bag",{"_index":2009,"t":{},"b":{"10":{},"11":{}}}],["bagging_fract",{"_index":2037,"t":{},"b":{"10":{},"11":{},"15":{}}}],["baggingclassifi",{"_index":1896,"t":{},"b":{"8":{}}}],["balanc",{"_index":1204,"t":{},"b":{"5":{},"7":{},"20":{}}}],["bar(1:length(c",{"_index":2558,"t":{},"b":{"17":{}}}],["bar([1",{"_index":2879,"t":{},"b":{"20":{}}}],["bare",{"_index":2940,"t":{},"b":{"20":{}}}],["barebon",{"_index":698,"t":{},"b":{"3":{}}}],["base",{"_index":1648,"t":{"23":{}},"b":{"6":{},"16":{},"23":{}}}],["base_scor",{"_index":1198,"t":{},"b":{"5":{}}}],["baselin",{"_index":1427,"t":{},"b":{"6":{},"7":{},"21":{},"22":{}}}],["baselinevisualis",{"_index":1658,"t":{},"b":{"7":{}}}],["basic",{"_index":6,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["basicsaccess",{"_index":138,"t":{},"b":{"1":{}}}],["bayesian",{"_index":2945,"t":{},"b":{"20":{}}}],["bayesianlda",{"_index":1897,"t":{},"b":{"8":{},"20":{}}}],["bayesianqda",{"_index":1899,"t":{},"b":{"8":{},"20":{}}}],["bayesiansubspacelda",{"_index":1900,"t":{},"b":{"8":{}}}],["bb",{"_index":65,"t":{},"b":{"0":{},"3":{}}}],["bd",{"_index":1134,"t":{},"b":{"5":{}}}],["becom",{"_index":1026,"t":{},"b":{"4":{},"7":{}}}],["befor",{"_index":615,"t":{},"b":{"2":{},"4":{},"10":{},"13":{},"15":{},"16":{},"18":{},"20":{},"23":{}}}],["behaviour",{"_index":3332,"t":{},"b":{"23":{}}}],["belong",{"_index":566,"t":{},"b":{"2":{}}}],["below",{"_index":692,"t":{},"b":{"3":{},"7":{},"8":{}}}],["best",{"_index":1104,"t":{},"b":{"4":{},"5":{},"10":{},"11":{},"15":{},"17":{},"22":{},"23":{}}}],["best_ensembl",{"_index":2062,"t":{},"b":{"10":{}}}],["best_ensemble.atom.k",{"_index":2064,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fract",{"_index":2066,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fractionbest_ensemble.atom.k",{"_index":2065,"t":{},"b":{"10":{}}}],["best_mdl",{"_index":3228,"t":{},"b":{"22":{}}}],["best_model",{"_index":2408,"t":{},"b":{"15":{}}}],["best_pip",{"_index":1630,"t":{},"b":{"6":{}}}],["better",{"_index":1572,"t":{},"b":{"6":{},"7":{},"16":{},"19":{},"20":{},"22":{}}}],["between",{"_index":673,"t":{},"b":{"3":{},"12":{},"13":{},"14":{},"18":{},"19":{},"24":{}}}],["bex3cod",{"_index":424,"t":{},"b":{"1":{}}}],["beyond",{"_index":2718,"t":{},"b":{"19":{}}}],["bi2cod",{"_index":422,"t":{},"b":{"1":{}}}],["big",{"_index":250,"t":{},"b":{"1":{},"5":{}}}],["bind",{"_index":2386,"t":{},"b":{"15":{}}}],["bins=30",{"_index":3205,"t":{},"b":{"22":{}}}],["bins=50",{"_index":3180,"t":{},"b":{"22":{}}}],["bit",{"_index":524,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["black",{"_index":190,"t":{},"b":{"1":{},"3":{},"19":{}}}],["blaom",{"_index":124,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["blend",{"_index":917,"t":{},"b":{"4":{}}}],["blendus",{"_index":786,"t":{},"b":{"4":{}}}],["blue",{"_index":2579,"t":{},"b":{"17":{}}}],["boost",{"_index":1349,"t":{},"b":{"5":{},"16":{},"23":{}}}],["booster",{"_index":1161,"t":{},"b":{"5":{}}}],["bootstrap",{"_index":3014,"t":{"21":{}},"b":{"21":{}}}],["bootstrapget",{"_index":3018,"t":{},"b":{"21":{}}}],["boston",{"_index":161,"t":{},"b":{"1":{},"2":{},"3":{},"11":{},"19":{},"23":{}}}],["boston.crim",{"_index":400,"t":{},"b":{"1":{}}}],["boston.crim[1:5]5",{"_index":247,"t":{},"b":{"1":{}}}],["boston.crim_x_zn",{"_index":399,"t":{},"b":{"1":{}}}],["boston.zn",{"_index":401,"t":{},"b":{"1":{}}}],["boston2",{"_index":736,"t":{},"b":{"3":{}}}],["boston3",{"_index":743,"t":{},"b":{"3":{}}}],["boston[1:5",{"_index":256,"t":{},"b":{"1":{}}}],["boston[3",{"_index":252,"t":{},"b":{"1":{}}}],["both",{"_index":924,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"12":{}}}],["box",{"_index":2280,"t":{},"b":{"13":{},"14":{}}}],["box=box_model",{"_index":2357,"t":{},"b":{"14":{}}}],["box_model",{"_index":2306,"t":{},"b":{"13":{},"14":{}}}],["box_model::univariateboxcoxtransform",{"_index":2373,"t":{},"b":{"14":{}}}],["branch",{"_index":1964,"t":{},"b":{"9":{}}}],["brief",{"_index":2590,"t":{},"b":{"18":{}}}],["bsmtfinsf1",{"_index":817,"t":{},"b":{"4":{}}}],["buick",{"_index":2652,"t":{},"b":{"18":{}}}],["build",{"_index":2084,"t":{},"b":{"11":{},"15":{},"16":{},"20":{},"21":{}}}],["built",{"_index":134,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["bve",{"_index":903,"t":{},"b":{"4":{}}}],["by(iri",{"_index":507,"t":{},"b":{"1":{}}}],["c",{"_index":2575,"t":{},"b":{"17":{}}}],["call",{"_index":908,"t":{},"b":{"4":{},"10":{},"13":{},"18":{}}}],["capillary_refill_tim",{"_index":1450,"t":{},"b":{"6":{}}}],["caravan",{"_index":2961,"t":{},"b":{"20":{}}}],["caravan.purchas",{"_index":2966,"t":{},"b":{"20":{}}}],["care",{"_index":2410,"t":{},"b":{"15":{},"18":{}}}],["carseat",{"_index":3291,"t":{},"b":{"23":{}}}],["carseats.high",{"_index":3325,"t":{},"b":{"23":{}}}],["case",{"_index":682,"t":{},"b":{"3":{},"8":{},"12":{},"13":{},"19":{},"20":{},"21":{}}}],["catbat",{"_index":3156,"t":{},"b":{"22":{}}}],["categor",{"_index":1,"t":{"0":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["categori",{"_index":78,"t":{},"b":{"0":{}}}],["categorical([\"aa",{"_index":64,"t":{},"b":{"0":{}}}],["categorical([\"high",{"_index":110,"t":{},"b":{"0":{}}}],["categorical(['m",{"_index":1951,"t":{},"b":{"9":{}}}],["categorical([1",{"_index":98,"t":{},"b":{"0":{}}}],["categorical(i",{"_index":3399,"t":{},"b":{"24":{}}}],["categoricalarray",{"_index":62,"t":{},"b":{"0":{},"5":{},"16":{}}}],["categoricalarrays.categoricalarray{string,1,uint8",{"_index":2873,"t":{},"b":{"20":{}}}],["categoricalarrays.categoricalstring{uint32",{"_index":824,"t":{},"b":{"4":{}}}],["categoricalarrays.categoricalstring{uint32}[\"b",{"_index":1128,"t":{},"b":{"5":{}}}],["categoricalarrays.categoricalstring{uint8",{"_index":1865,"t":{},"b":{"8":{},"23":{}}}],["categoricalarrays.categoricalvalue{float64,uint32",{"_index":776,"t":{},"b":{"3":{},"8":{}}}],["categoricalarrays.categoricalvalue{int64,uint32",{"_index":778,"t":{},"b":{"3":{},"4":{}}}],["categoricalarray{string,1,uint32",{"_index":70,"t":{},"b":{"0":{}}}],["categoricalsmiss",{"_index":55,"t":{},"b":{"0":{}}}],["categoricalsord",{"_index":54,"t":{},"b":{"0":{}}}],["categoricalstring{uint8",{"_index":2846,"t":{},"b":{"20":{}}}],["cbt",{"_index":1405,"t":{},"b":{"5":{}}}],["cc",{"_index":66,"t":{},"b":{"0":{}}}],["cc\"])6",{"_index":68,"t":{},"b":{"0":{}}}],["cha",{"_index":182,"t":{},"b":{"1":{},"3":{},"19":{}}}],["chang",{"_index":92,"t":{},"b":{"0":{},"3":{},"5":{},"7":{},"13":{},"19":{},"24":{}}}],["char",{"_index":622,"t":{},"b":{"2":{}}}],["check",{"_index":767,"t":{},"b":{"3":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"20":{},"21":{},"24":{}}}],["check_measur",{"_index":1099,"t":{},"b":{"4":{},"15":{},"21":{}}}],["chemic",{"_index":1660,"t":{},"b":{"7":{}}}],["chevel",{"_index":2646,"t":{},"b":{"18":{}}}],["chevrolet",{"_index":2645,"t":{},"b":{"18":{}}}],["child",{"_index":1348,"t":{},"b":{"5":{}}}],["chit",{"_index":3157,"t":{},"b":{"22":{}}}],["chmrun",{"_index":3158,"t":{},"b":{"22":{}}}],["choos",{"_index":15,"t":{"8":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["cic0",{"_index":628,"t":{},"b":{"2":{}}}],["cl",{"_index":1132,"t":{},"b":{"5":{}}}],["class",{"_index":677,"t":{},"b":{"3":{},"5":{},"7":{},"12":{},"20":{}}}],["classes(y[1])2",{"_index":2872,"t":{},"b":{"20":{}}}],["classesiniti",{"_index":1659,"t":{},"b":{"7":{}}}],["classic",{"_index":158,"t":{},"b":{"1":{},"2":{},"23":{}}}],["classif",{"_index":1148,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"16":{}}}],["classifi",{"_index":1586,"t":{},"b":{"6":{},"7":{},"8":{},"12":{},"15":{},"20":{},"23":{},"24":{}}}],["classifiertun",{"_index":3285,"t":{},"b":{"23":{}}}],["clear",{"_index":1844,"t":{},"b":{"7":{}}}],["clearli",{"_index":570,"t":{},"b":{"2":{},"7":{}}}],["clf",{"_index":1602,"t":{},"b":{"6":{},"7":{},"20":{}}}],["clf.lambda",{"_index":1627,"t":{},"b":{"6":{}}}],["clf=knnclassifi",{"_index":1766,"t":{},"b":{"7":{}}}],["clf=multinomialclassifi",{"_index":1768,"t":{},"b":{"7":{}}}],["click",{"_index":49,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["cloud",{"_index":3385,"t":{},"b":{"24":{}}}],["cluster",{"_index":2474,"t":{"17":{}},"b":{"16":{},"17":{}}}],["cm",{"_index":2363,"t":{},"b":{"14":{},"20":{}}}],["cm[\"down",{"_index":2880,"t":{},"b":{"20":{}}}],["cm[\"no",{"_index":2981,"t":{},"b":{"20":{}}}],["cm[\"up",{"_index":2881,"t":{},"b":{"20":{}}}],["cm[\"ye",{"_index":2982,"t":{},"b":{"20":{}}}],["cmach",{"_index":874,"t":{},"b":{"4":{}}}],["coars",{"_index":1063,"t":{},"b":{"4":{}}}],["code",{"_index":763,"t":{},"b":{"3":{},"21":{}}}],["coef",{"_index":3239,"t":{},"b":{"22":{}}}],["coeffici",{"_index":2760,"t":{},"b":{"19":{}}}],["coerc",{"_index":735,"t":{},"b":{"3":{},"6":{},"8":{},"9":{},"17":{}}}],["coerce(boston",{"_index":737,"t":{},"b":{"3":{},"19":{}}}],["coerce(data",{"_index":757,"t":{},"b":{"3":{},"6":{}}}],["coerce(datac",{"_index":1525,"t":{},"b":{"6":{}}}],["coerce(featur",{"_index":746,"t":{},"b":{"3":{}}}],["coerce(i",{"_index":1698,"t":{},"b":{"7":{},"20":{}}}],["coerce(iri",{"_index":1870,"t":{},"b":{"8":{}}}],["coerce(x",{"_index":1715,"t":{},"b":{"7":{},"9":{},"17":{},"22":{},"23":{}}}],["coercion",{"_index":750,"t":{},"b":{"3":{},"9":{}}}],["coercionautotypemachin",{"_index":669,"t":{},"b":{"3":{}}}],["col",{"_index":477,"t":{},"b":{"1":{},"6":{},"20":{},"21":{},"22":{},"23":{}}}],["col1,col2,col3,col4,col5,col6,col7,col8",{"_index":587,"t":{},"b":{"2":{}}}],["colic",{"_index":1422,"t":{"6":{}},"b":{"6":{}}}],["colic.data",{"_index":1439,"t":{},"b":{"6":{}}}],["colic.test",{"_index":1441,"t":{},"b":{"6":{}}}],["colic/hors",{"_index":1438,"t":{},"b":{"6":{}}}],["collabor",{"_index":127,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["collat",{"_index":2043,"t":{},"b":{"10":{}}}],["collect",{"_index":1546,"t":{},"b":{"6":{},"15":{},"18":{},"21":{}}}],["collect(1:length(coefs))[abs.(coef",{"_index":3268,"t":{},"b":{"22":{}}}],["collect(range(extrema(x.lstat",{"_index":2748,"t":{},"b":{"19":{}}}],["collect(skipmissing(i",{"_index":3172,"t":{},"b":{"22":{}}}],["colnam",{"_index":245,"t":{},"b":{"1":{},"7":{},"8":{}}}],["color",{"_index":1685,"t":{},"b":{"7":{}}}],["color=\"blu",{"_index":1835,"t":{},"b":{"7":{}}}],["color=\"green",{"_index":3206,"t":{},"b":{"22":{}}}],["color=\"magenta",{"_index":1838,"t":{},"b":{"7":{},"22":{}}}],["color=\"orang",{"_index":3213,"t":{},"b":{"22":{}}}],["color=\"r",{"_index":1832,"t":{},"b":{"7":{},"17":{}}}],["color=c",{"_index":2584,"t":{},"b":{"17":{}}}],["colour",{"_index":1819,"t":{},"b":{"7":{}}}],["colsample_bylevel",{"_index":1171,"t":{},"b":{"5":{}}}],["colsample_bytre",{"_index":1170,"t":{},"b":{"5":{}}}],["column",{"_index":174,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"17":{},"18":{},"19":{},"21":{},"23":{}}}],["column1",{"_index":655,"t":{},"b":{"2":{}}}],["column2",{"_index":656,"t":{},"b":{"2":{}}}],["column3",{"_index":657,"t":{},"b":{"2":{}}}],["column4",{"_index":658,"t":{},"b":{"2":{}}}],["column5",{"_index":659,"t":{},"b":{"2":{}}}],["columns/statist",{"_index":513,"t":{},"b":{"1":{}}}],["columnsd",{"_index":1425,"t":{},"b":{"6":{}}}],["columnsmiss",{"_index":142,"t":{},"b":{"1":{}}}],["combin",{"_index":444,"t":{},"b":{"1":{},"4":{}}}],["combinegroupbybyaggregatethi",{"_index":145,"t":{},"b":{"1":{}}}],["come",{"_index":2874,"t":{},"b":{"20":{}}}],["command",{"_index":1924,"t":{},"b":{"8":{},"18":{}}}],["commandsload",{"_index":2587,"t":{},"b":{"18":{}}}],["comment",{"_index":1211,"t":{},"b":{"5":{},"7":{}}}],["common",{"_index":799,"t":{},"b":{"4":{},"5":{},"8":{}}}],["compar",{"_index":912,"t":{},"b":{"4":{},"7":{},"20":{},"21":{},"22":{}}}],["compat",{"_index":601,"t":{},"b":{"2":{},"12":{},"13":{},"20":{}}}],["complet",{"_index":153,"t":{},"b":{"1":{},"7":{},"17":{}}}],["compon",{"_index":2504,"t":{},"b":{"17":{}}}],["compos",{"_index":23,"t":{"9":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["composit",{"_index":2144,"t":{},"b":{"11":{},"14":{},"19":{}}}],["compositemodel",{"_index":2359,"t":{},"b":{"14":{}}}],["compositemodel(std=std_model",{"_index":2356,"t":{},"b":{"14":{}}}],["compositemodel2",{"_index":2371,"t":{},"b":{"14":{}}}],["compositemodel2(standard",{"_index":2379,"t":{},"b":{"14":{}}}],["comppric",{"_index":3294,"t":{},"b":{"23":{}}}],["comput",{"_index":361,"t":{},"b":{"1":{},"4":{},"18":{},"19":{},"20":{}}}],["computationalresources.cpu1{nothing}(noth",{"_index":1097,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["conclud",{"_index":1576,"t":{},"b":{"6":{}}}],["conclus",{"_index":3132,"t":{},"b":{"21":{}}}],["condit",{"_index":2921,"t":{},"b":{"20":{}}}],["confus",{"_index":2871,"t":{},"b":{"20":{}}}],["confusion_matrix(i",{"_index":2903,"t":{},"b":{"20":{}}}],["connect",{"_index":2360,"t":{},"b":{"14":{}}}],["consequ",{"_index":731,"t":{},"b":{"3":{},"15":{}}}],["consid",{"_index":108,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"6":{},"7":{},"12":{},"13":{},"14":{},"18":{},"19":{},"20":{},"22":{}}}],["const",{"_index":3144,"t":{},"b":{"22":{}}}],["constant",{"_index":863,"t":{},"b":{"4":{}}}],["constantclassifi",{"_index":1901,"t":{},"b":{"8":{}}}],["constantregressor()constantregressor",{"_index":865,"t":{},"b":{"4":{}}}],["constitu",{"_index":1667,"t":{},"b":{"7":{}}}],["construct",{"_index":1975,"t":{},"b":{"9":{},"10":{}}}],["constructor",{"_index":2012,"t":{},"b":{"10":{},"11":{},"14":{}}}],["contain",{"_index":796,"t":{},"b":{"4":{},"9":{},"12":{},"15":{},"20":{}}}],["content",{"_index":391,"t":{},"b":{"1":{},"2":{},"16":{}}}],["context",{"_index":160,"t":{},"b":{"1":{}}}],["continu",{"_index":688,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"22":{},"23":{}}}],["conveni",{"_index":261,"t":{},"b":{"1":{},"2":{},"6":{},"18":{}}}],["convent",{"_index":706,"t":{},"b":{"3":{},"19":{}}}],["convert",{"_index":390,"t":{},"b":{"1":{},"3":{},"13":{}}}],["convert(matrix",{"_index":393,"t":{},"b":{"1":{}}}],["cool",{"_index":2792,"t":{},"b":{"19":{}}}],["copi",{"_index":474,"t":{},"b":{"1":{}}}],["cor",{"_index":2852,"t":{},"b":{"20":{}}}],["correl",{"_index":2851,"t":{},"b":{"20":{}}}],["correspond",{"_index":469,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"16":{},"17":{},"19":{},"21":{}}}],["cost",{"_index":3412,"t":{},"b":{"24":{}}}],["count",{"_index":678,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"9":{},"11":{},"19":{},"23":{}}}],["counter",{"_index":441,"t":{},"b":{"1":{}}}],["countmap",{"_index":2810,"t":{},"b":{"20":{}}}],["countmap(i",{"_index":2878,"t":{},"b":{"20":{}}}],["countmap(purchas",{"_index":2980,"t":{},"b":{"20":{}}}],["countmap(y[train",{"_index":1206,"t":{},"b":{"5":{}}}],["cours",{"_index":2153,"t":{},"b":{"11":{},"15":{},"18":{}}}],["cox",{"_index":2281,"t":{},"b":{"13":{}}}],["cp_data",{"_index":1467,"t":{},"b":{"6":{}}}],["cpu_predictor",{"_index":1187,"t":{},"b":{"5":{}}}],["crab",{"_index":40,"t":{"5":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["crazi",{"_index":1623,"t":{},"b":{"6":{}}}],["crbi",{"_index":3160,"t":{},"b":{"22":{}}}],["creat",{"_index":870,"t":{},"b":{"4":{},"11":{},"13":{},"16":{},"19":{},"21":{}}}],["creg",{"_index":864,"t":{},"b":{"4":{}}}],["crim",{"_index":179,"t":{},"b":{"1":{},"3":{},"19":{}}}],["cross",{"_index":1065,"t":{"21":{}},"b":{"4":{},"6":{},"12":{},"15":{},"16":{},"20":{},"21":{},"22":{}}}],["cross_entropi",{"_index":2401,"t":{},"b":{"15":{}}}],["cross_entropy(i",{"_index":1640,"t":{},"b":{"6":{},"12":{},"20":{}}}],["crossvalid",{"_index":3090,"t":{},"b":{"21":{}}}],["crun",{"_index":3159,"t":{},"b":{"22":{}}}],["cs",{"_index":2550,"t":{},"b":{"17":{}}}],["csv",{"_index":577,"t":{},"b":{"2":{},"6":{},"7":{},"16":{},"18":{}}}],["csv.file",{"_index":625,"t":{},"b":{"2":{}}}],["csv.jl",{"_index":556,"t":{},"b":{"2":{},"7":{}}}],["csv.read",{"_index":583,"t":{},"b":{"2":{}}}],["csv.read(\"path/to/file.csv",{"_index":604,"t":{},"b":{"2":{}}}],["csv.read(fpath",{"_index":635,"t":{},"b":{"2":{}}}],["csv.read(fpath)dataframes.dataframe(abstractarray{t,1",{"_index":598,"t":{},"b":{"2":{}}}],["csv.read(req.bodi",{"_index":1672,"t":{},"b":{"7":{}}}],["csv.read(req1.bodi",{"_index":1471,"t":{},"b":{"6":{}}}],["csv.read(req2.bodi",{"_index":1473,"t":{},"b":{"6":{}}}],["csv_opt",{"_index":1468,"t":{},"b":{"6":{}}}],["csvbasic",{"_index":544,"t":{},"b":{"2":{}}}],["cultivar",{"_index":1664,"t":{},"b":{"7":{}}}],["cumsum(r.principalvar",{"_index":2515,"t":{},"b":{"17":{}}}],["current",{"_index":752,"t":{},"b":{"3":{},"6":{},"8":{},"21":{},"22":{}}}],["curv",{"_index":1221,"t":{},"b":{"5":{},"11":{},"20":{}}}],["curve.measur",{"_index":1335,"t":{},"b":{"5":{}}}],["curves.measur",{"_index":2137,"t":{},"b":{"11":{}}}],["custom",{"_index":375,"t":{},"b":{"1":{}}}],["cut",{"_index":1758,"t":{},"b":{"7":{}}}],["cv",{"_index":1084,"t":{},"b":{"4":{},"21":{},"22":{}}}],["cv(nfolds=6",{"_index":1068,"t":{},"b":{"4":{}}}],["cw",{"_index":1133,"t":{},"b":{"5":{}}}],["cwalk",{"_index":3161,"t":{},"b":{"22":{}}}],["cyclic",{"_index":1195,"t":{},"b":{"5":{}}}],["cylind",{"_index":2635,"t":{},"b":{"18":{}}}],["d",{"_index":381,"t":{},"b":{"1":{},"20":{},"22":{}}}],["d.fit_mle(d.exponenti",{"_index":3184,"t":{},"b":{"22":{}}}],["d.fit_mle(d.laplac",{"_index":3211,"t":{},"b":{"22":{}}}],["d.fit_mle(d.norm",{"_index":3209,"t":{},"b":{"22":{}}}],["dag",{"_index":2275,"t":{},"b":{"13":{}}}],["data",{"_index":2,"t":{"0":{},"2":{},"3":{},"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["data...pca",{"_index":2485,"t":{},"b":{"17":{}}}],["data.medv",{"_index":2729,"t":{},"b":{"19":{}}}],["data2",{"_index":756,"t":{},"b":{"3":{}}}],["data2×3",{"_index":2299,"t":{},"b":{"13":{}}}],["data_test",{"_index":1472,"t":{},"b":{"6":{}}}],["data_train",{"_index":1470,"t":{},"b":{"6":{}}}],["dataad",{"_index":141,"t":{},"b":{"1":{}}}],["databas",{"_index":2589,"t":{},"b":{"18":{}}}],["databases/hors",{"_index":1437,"t":{},"b":{"6":{}}}],["databases/wine/wine.data",{"_index":1671,"t":{},"b":{"7":{}}}],["datac",{"_index":1496,"t":{},"b":{"6":{}}}],["datac[.!missing_outcom",{"_index":1548,"t":{},"b":{"6":{}}}],["datachoos",{"_index":1861,"t":{},"b":{"8":{}}}],["dataconvert",{"_index":140,"t":{},"b":{"1":{}}}],["datadeclar",{"_index":1946,"t":{},"b":{"9":{}}}],["datadescrib",{"_index":139,"t":{},"b":{"1":{}}}],["datafit",{"_index":2179,"t":{},"b":{"12":{}}}],["datafram",{"_index":137,"t":{"1":{}},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["dataframe([hp.^i",{"_index":3096,"t":{},"b":{"21":{}}}],["dataframe([hpn.^i",{"_index":3134,"t":{},"b":{"21":{}}}],["dataframe(hp1=hp",{"_index":3045,"t":{},"b":{"21":{}}}],["dataframe(hp1=hpn",{"_index":3079,"t":{},"b":{"21":{}}}],["dataframe(x",{"_index":806,"t":{},"b":{"4":{},"5":{}}}],["dataframe(x1=x1",{"_index":2258,"t":{},"b":{"13":{},"14":{}}}],["dataframe(xraw",{"_index":1995,"t":{},"b":{"10":{}}}],["dataframes.aggregate(iri",{"_index":526,"t":{},"b":{"1":{}}}],["dataframes.datafram",{"_index":1724,"t":{},"b":{"7":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["dataframes.jl",{"_index":149,"t":{},"b":{"1":{},"2":{},"18":{}}}],["datainspect",{"_index":1424,"t":{},"b":{"6":{}}}],["datalogist",{"_index":2805,"t":{},"b":{"20":{}}}],["dataplot",{"_index":2588,"t":{},"b":{"18":{}}}],["dataroc",{"_index":2808,"t":{},"b":{"20":{}}}],["dataset",{"_index":162,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"18":{},"20":{}}}],["dataset(\"dataset",{"_index":448,"t":{},"b":{"1":{},"8":{},"17":{}}}],["dataset(\"gap",{"_index":407,"t":{},"b":{"1":{}}}],["dataset(\"islr",{"_index":2526,"t":{},"b":{"17":{},"18":{},"20":{},"21":{},"22":{},"23":{}}}],["dataset(\"mass",{"_index":166,"t":{},"b":{"1":{},"2":{},"3":{},"19":{},"23":{}}}],["datatyp",{"_index":2727,"t":{},"b":{"19":{},"20":{}}}],["deal",{"_index":1528,"t":{},"b":{"6":{},"16":{}}}],["deaper",{"_index":1850,"t":{},"b":{"7":{}}}],["decid",{"_index":2142,"t":{},"b":{"11":{},"15":{}}}],["decis",{"_index":2104,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["decisiontre",{"_index":1895,"t":{},"b":{"8":{}}}],["decisiontree.jl",{"_index":1926,"t":{},"b":{"8":{},"23":{}}}],["decisiontreeclassifi",{"_index":1903,"t":{},"b":{"8":{},"12":{},"15":{},"23":{}}}],["decisiontreeclassifier()decisiontreeclassifi",{"_index":2182,"t":{},"b":{"12":{}}}],["decisiontreeclassifierdecisiontreeclassifi",{"_index":2387,"t":{},"b":{"15":{}}}],["decisiontreeregressor",{"_index":2432,"t":{},"b":{"15":{},"23":{}}}],["decisiontreeregressordecisiontreeregressor",{"_index":2105,"t":{},"b":{"11":{}}}],["declar",{"_index":71,"t":{},"b":{"0":{},"9":{},"12":{},"19":{}}}],["default",{"_index":84,"t":{},"b":{"0":{},"3":{},"4":{},"5":{},"6":{},"7":{},"10":{},"17":{},"19":{},"20":{},"22":{}}}],["defin",{"_index":52,"t":{},"b":{"0":{},"3":{},"4":{},"6":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["degre",{"_index":3041,"t":{},"b":{"21":{}}}],["delim",{"_index":621,"t":{},"b":{"2":{},"6":{}}}],["demonstr",{"_index":1155,"t":{},"b":{"5":{},"19":{}}}],["density=tru",{"_index":2781,"t":{},"b":{"19":{},"22":{}}}],["depth",{"_index":1346,"t":{},"b":{"5":{},"12":{},"15":{},"23":{}}}],["depthwis",{"_index":1182,"t":{},"b":{"5":{}}}],["deriv",{"_index":385,"t":{},"b":{"1":{},"7":{}}}],["describ",{"_index":280,"t":{},"b":{"1":{},"6":{},"18":{}}}],["describe(auto",{"_index":2661,"t":{},"b":{"18":{}}}],["describe(boston",{"_index":284,"t":{},"b":{"1":{},"19":{}}}],["describe(data",{"_index":2494,"t":{},"b":{"17":{}}}],["describe(mao",{"_index":408,"t":{},"b":{"1":{}}}],["describe(smarket",{"_index":2828,"t":{},"b":{"20":{}}}],["describe(subdf_setosa",{"_index":487,"t":{},"b":{"1":{}}}],["describe(xc",{"_index":1722,"t":{},"b":{"7":{}}}],["describe(y)(n",{"_index":2092,"t":{},"b":{"11":{}}}],["descript",{"_index":1491,"t":{},"b":{"6":{},"20":{}}}],["detail",{"_index":624,"t":{},"b":{"2":{},"8":{},"10":{},"16":{},"18":{},"20":{}}}],["determin",{"_index":1665,"t":{},"b":{"7":{}}}],["determinist",{"_index":901,"t":{},"b":{"4":{},"16":{}}}],["deterministicnetwork",{"_index":993,"t":{},"b":{"4":{},"14":{}}}],["deviat",{"_index":1719,"t":{},"b":{"7":{},"17":{}}}],["di",{"_index":186,"t":{},"b":{"1":{},"3":{},"19":{}}}],["dict(\"virginica",{"_index":2206,"t":{},"b":{"12":{}}}],["differ",{"_index":1024,"t":{},"b":{"4":{},"7":{},"8":{},"14":{},"18":{},"20":{},"21":{}}}],["difficult",{"_index":1803,"t":{},"b":{"7":{}}}],["dig",{"_index":1849,"t":{},"b":{"7":{}}}],["digit",{"_index":2240,"t":{},"b":{"12":{},"20":{},"21":{}}}],["digits=2",{"_index":2237,"t":{},"b":{"12":{},"21":{}}}],["digits=4)1.6019",{"_index":2226,"t":{},"b":{"12":{}}}],["dilut",{"_index":1689,"t":{},"b":{"7":{}}}],["dimens",{"_index":1840,"t":{},"b":{"7":{},"18":{}}}],["direct",{"_index":2272,"t":{},"b":{"13":{},"20":{}}}],["directli",{"_index":800,"t":{},"b":{"4":{},"13":{},"21":{}}}],["disable_default_eval_metr",{"_index":1163,"t":{},"b":{"5":{}}}],["discch",{"_index":2530,"t":{},"b":{"17":{}}}],["discmm",{"_index":2531,"t":{},"b":{"17":{}}}],["discrep",{"_index":2223,"t":{},"b":{"12":{}}}],["discrete_to_continu",{"_index":771,"t":{},"b":{"3":{},"6":{},"19":{}}}],["discuss",{"_index":549,"t":{},"b":{"2":{}}}],["displac",{"_index":2636,"t":{},"b":{"18":{}}}],["display",{"_index":1809,"t":{},"b":{"7":{},"20":{}}}],["display_depth",{"_index":2184,"t":{},"b":{"12":{},"15":{},"23":{}}}],["distanc",{"_index":2942,"t":{},"b":{"20":{}}}],["distances.euclidean(0.0",{"_index":937,"t":{},"b":{"4":{},"10":{}}}],["distinct",{"_index":670,"t":{},"b":{"3":{},"6":{}}}],["distinction?th",{"_index":663,"t":{},"b":{"3":{}}}],["distinguish",{"_index":672,"t":{},"b":{"3":{}}}],["distract",{"_index":1481,"t":{},"b":{"6":{}}}],["distribut",{"_index":897,"t":{},"b":{"4":{},"22":{}}}],["distribution_typ",{"_index":866,"t":{},"b":{"4":{}}}],["distributions.jl",{"_index":904,"t":{},"b":{"4":{}}}],["distributions.norm",{"_index":867,"t":{},"b":{"4":{}}}],["distributions.normal{float64}(μ=179454.34347399411",{"_index":891,"t":{},"b":{"4":{}}}],["div_",{"_index":3263,"t":{},"b":{"22":{}}}],["div_w",{"_index":3264,"t":{},"b":{"22":{}}}],["divis",{"_index":3163,"t":{},"b":{"22":{}}}],["do",{"_index":2440,"t":{},"b":{"16":{},"20":{},"22":{}}}],["doc",{"_index":59,"t":{},"b":{"0":{},"3":{},"18":{},"20":{}}}],["document",{"_index":150,"t":{},"b":{"1":{},"16":{}}}],["doesn't",{"_index":122,"t":{},"b":{"0":{},"2":{},"5":{},"21":{}}}],["don't",{"_index":573,"t":{},"b":{"2":{},"6":{},"18":{},"19":{}}}],["done",{"_index":1062,"t":{},"b":{"4":{},"6":{},"7":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"17":{},"18":{},"20":{}}}],["dot",{"_index":1971,"t":{},"b":{"9":{},"13":{},"15":{},"18":{}}}],["down",{"_index":2867,"t":{},"b":{"20":{}}}],["download",{"_index":43,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["drop",{"_index":274,"t":{},"b":{"1":{},"3":{},"6":{}}}],["drop_last",{"_index":1632,"t":{},"b":{"6":{}}}],["dtc",{"_index":1649,"t":{},"b":{"6":{},"15":{},"23":{}}}],["dtcdecis",{"_index":3286,"t":{},"b":{"23":{}}}],["dtr",{"_index":2114,"t":{},"b":{"11":{},"15":{},"23":{}}}],["dtr_model",{"_index":3352,"t":{},"b":{"23":{}}}],["dummi",{"_index":860,"t":{},"b":{"4":{},"9":{},"10":{},"13":{},"15":{}}}],["dummyclassifi",{"_index":1904,"t":{},"b":{"8":{}}}],["e",{"_index":2116,"t":{},"b":{"11":{}}}],["e.g",{"_index":675,"t":{},"b":{"3":{},"13":{},"14":{},"15":{}}}],["each",{"_index":175,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"8":{},"12":{},"16":{},"17":{},"19":{},"20":{},"21":{}}}],["earlier",{"_index":571,"t":{},"b":{"2":{},"7":{},"22":{}}}],["easi",{"_index":398,"t":{},"b":{"1":{},"7":{},"14":{}}}],["easili",{"_index":244,"t":{},"b":{"1":{},"2":{},"18":{},"20":{}}}],["ecosystem",{"_index":1922,"t":{},"b":{"8":{}}}],["edfit",{"_index":3183,"t":{},"b":{"22":{}}}],["educ",{"_index":3299,"t":{},"b":{"23":{}}}],["effect",{"_index":738,"t":{},"b":{"3":{},"4":{},"5":{},"12":{},"13":{},"20":{}}}],["effici",{"_index":581,"t":{},"b":{"2":{}}}],["elast",{"_index":3273,"t":{},"b":{"22":{}}}],["elasticnetregressor",{"_index":3274,"t":{},"b":{"22":{}}}],["element",{"_index":69,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"20":{},"22":{},"24":{}}}],["elementari",{"_index":541,"t":{"2":{}},"b":{"2":{},"16":{}}}],["elementwis",{"_index":2594,"t":{},"b":{"18":{},"19":{}}}],["elscitype(boston2.chas)orderedfactor{2",{"_index":740,"t":{},"b":{"3":{}}}],["elscitype(feature)textu",{"_index":744,"t":{},"b":{"3":{}}}],["elscitype(feature2)multiclass{2",{"_index":747,"t":{},"b":{"3":{}}}],["eltyp",{"_index":372,"t":{},"b":{"1":{},"19":{},"20":{}}}],["eltype(boston2.chas)categoricalarrays.categoricalvalue{int64,uint32",{"_index":739,"t":{},"b":{"3":{}}}],["eltype)14×4",{"_index":2726,"t":{},"b":{"19":{}}}],["eltype)9×4",{"_index":2829,"t":{},"b":{"20":{}}}],["encapsul",{"_index":2329,"t":{},"b":{"13":{}}}],["encod",{"_index":674,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"12":{},"19":{},"22":{},"23":{},"24":{}}}],["end",{"_index":36,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["endadaboostclassifi",{"_index":1892,"t":{},"b":{"8":{}}}],["endsurgeri",{"_index":1504,"t":{},"b":{"6":{}}}],["enough",{"_index":1755,"t":{},"b":{"7":{},"13":{},"17":{}}}],["ensembl",{"_index":21,"t":{"10":{},"11":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ensemble'",{"_index":2036,"t":{},"b":{"10":{}}}],["ensemble_model",{"_index":2013,"t":{},"b":{"10":{}}}],["ensemblemodel",{"_index":2011,"t":{},"b":{"10":{}}}],["ensemblemodel(atom=decisiontreeregressor",{"_index":2123,"t":{},"b":{"11":{}}}],["ensemblemodel(atom=dtr)deterministicensemblemodel",{"_index":2433,"t":{},"b":{"15":{}}}],["ensemblemodel(atom=knn_model",{"_index":2014,"t":{},"b":{"10":{}}}],["ensemblestrain",{"_index":1984,"t":{},"b":{"10":{}}}],["ensemblesystemat",{"_index":1985,"t":{},"b":{"10":{}}}],["entri",{"_index":74,"t":{},"b":{"0":{},"3":{},"20":{}}}],["entropi",{"_index":1339,"t":{},"b":{"5":{},"6":{},"12":{},"20":{}}}],["enumerate(names(x",{"_index":2761,"t":{},"b":{"19":{}}}],["environ",{"_index":1925,"t":{},"b":{"8":{},"16":{},"19":{}}}],["ep",{"_index":2402,"t":{},"b":{"15":{}}}],["equal",{"_index":1878,"t":{},"b":{"8":{}}}],["equival",{"_index":2005,"t":{},"b":{"10":{},"13":{}}}],["error",{"_index":2128,"t":{},"b":{"11":{},"19":{},"20":{},"21":{},"22":{}}}],["essenti",{"_index":2715,"t":{},"b":{"19":{}}}],["estim",{"_index":2017,"t":{},"b":{"10":{}}}],["estimates.measurement[1",{"_index":2028,"t":{},"b":{"10":{}}}],["eta",{"_index":1164,"t":{},"b":{"5":{}}}],["etc",{"_index":564,"t":{},"b":{"2":{},"3":{},"6":{},"7":{},"9":{},"13":{},"19":{},"20":{},"24":{}}}],["eval_metr",{"_index":1200,"t":{},"b":{"5":{}}}],["evalu",{"_index":985,"t":{"8":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{}}}],["evaluate!(cm",{"_index":2365,"t":{},"b":{"14":{}}}],["evaluate!(ensembl",{"_index":2018,"t":{},"b":{"10":{}}}],["evaluate!(knn",{"_index":1787,"t":{},"b":{"7":{},"10":{}}}],["evaluate!(m",{"_index":2162,"t":{},"b":{"11":{}}}],["evaluate!(mach",{"_index":1605,"t":{},"b":{"6":{}}}],["evaluate!(multi",{"_index":1789,"t":{},"b":{"7":{}}}],["evaluate!(tre",{"_index":2117,"t":{},"b":{"11":{}}}],["evaluate(pip",{"_index":1976,"t":{},"b":{"9":{}}}],["even",{"_index":728,"t":{},"b":{"3":{},"11":{}}}],["eventu",{"_index":1772,"t":{},"b":{"7":{}}}],["everyth",{"_index":1691,"t":{},"b":{"7":{}}}],["examin",{"_index":1386,"t":{},"b":{"5":{}}}],["exampl",{"_index":37,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["except",{"_index":525,"t":{},"b":{"1":{},"4":{}}}],["exist",{"_index":2717,"t":{},"b":{"19":{}}}],["exp(z",{"_index":973,"t":{},"b":{"4":{}}}],["exp.(x1",{"_index":2256,"t":{},"b":{"13":{},"14":{}}}],["exp.(xraw[:,1",{"_index":1991,"t":{},"b":{"10":{}}}],["expand",{"_index":787,"t":{},"b":{"4":{}}}],["expect",{"_index":75,"t":{},"b":{"0":{},"6":{},"9":{},"22":{}}}],["experi",{"_index":2454,"t":{},"b":{"16":{}}}],["explain",{"_index":2520,"t":{},"b":{"17":{}}}],["explanatori",{"_index":365,"t":{},"b":{"1":{}}}],["explicit",{"_index":1027,"t":{},"b":{"4":{}}}],["explicitli",{"_index":988,"t":{},"b":{"4":{}}}],["explor",{"_index":1693,"t":{},"b":{"7":{}}}],["exponenti",{"_index":928,"t":{},"b":{"4":{}}}],["extern",{"_index":1883,"t":{},"b":{"8":{}}}],["extra",{"_index":2789,"t":{},"b":{"19":{}}}],["extract",{"_index":1380,"t":{},"b":{"5":{},"17":{},"19":{}}}],["extratreesclassifi",{"_index":1905,"t":{},"b":{"8":{}}}],["f",{"_index":1952,"t":{},"b":{"9":{}}}],["f1score",{"_index":2919,"t":{},"b":{"20":{}}}],["f1score(i",{"_index":2914,"t":{},"b":{"20":{}}}],["facilit",{"_index":1492,"t":{},"b":{"6":{}}}],["fact",{"_index":569,"t":{},"b":{"2":{},"6":{}}}],["factor",{"_index":1696,"t":{},"b":{"7":{},"20":{}}}],["fair",{"_index":1637,"t":{},"b":{"6":{},"7":{}}}],["fairli",{"_index":363,"t":{},"b":{"1":{},"13":{},"16":{}}}],["fals",{"_index":1086,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"11":{},"12":{},"15":{},"20":{},"21":{},"23":{}}}],["false_positive(cm",{"_index":2909,"t":{},"b":{"20":{}}}],["familiar",{"_index":2459,"t":{},"b":{"16":{}}}],["fancier",{"_index":920,"t":{},"b":{"4":{}}}],["fantast",{"_index":2901,"t":{},"b":{"20":{}}}],["far",{"_index":987,"t":{},"b":{"4":{},"14":{}}}],["fare",{"_index":1417,"t":{},"b":{"5":{}}}],["faster",{"_index":2152,"t":{},"b":{"11":{}}}],["featur",{"_index":362,"t":{},"b":{"1":{},"3":{},"4":{},"6":{},"7":{},"11":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["feature(",{"_index":734,"t":{},"b":{"3":{}}}],["feature2",{"_index":745,"t":{},"b":{"3":{}}}],["feature_selector",{"_index":1194,"t":{},"b":{"5":{}}}],["featureselector",{"_index":3108,"t":{},"b":{"21":{}}}],["featureselector(features=[:hp1",{"_index":3049,"t":{},"b":{"21":{}}}],["februari",{"_index":130,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fece",{"_index":1457,"t":{},"b":{"6":{}}}],["feed",{"_index":1585,"t":{},"b":{"6":{},"13":{}}}],["feedback",{"_index":2443,"t":{},"b":{"16":{}}}],["feel",{"_index":1720,"t":{},"b":{"7":{},"19":{},"22":{}}}],["few",{"_index":195,"t":{},"b":{"1":{},"3":{},"6":{},"10":{},"16":{},"20":{},"22":{}}}],["few_to_finit",{"_index":766,"t":{},"b":{"3":{}}}],["field",{"_index":2038,"t":{},"b":{"10":{},"15":{},"21":{}}}],["figur",{"_index":1843,"t":{},"b":{"7":{}}}],["figure(figsize=(8",{"_index":1827,"t":{},"b":{"7":{},"17":{}}}],["figure(figsize=(8,6",{"_index":1333,"t":{},"b":{"5":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["file",{"_index":555,"t":{},"b":{"2":{}}}],["fill",{"_index":1577,"t":{},"b":{"6":{},"18":{}}}],["filler",{"_index":1579,"t":{},"b":{"6":{}}}],["fillimput",{"_index":1578,"t":{},"b":{"6":{}}}],["final",{"_index":273,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"13":{},"18":{}}}],["find",{"_index":2442,"t":{},"b":{"16":{},"20":{},"22":{}}}],["findall2",{"_index":1540,"t":{},"b":{"6":{}}}],["fine",{"_index":725,"t":{},"b":{"3":{},"5":{}}}],["finer",{"_index":2154,"t":{},"b":{"11":{}}}],["finit",{"_index":701,"t":{},"b":{"3":{},"6":{}}}],["first",{"_index":194,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"8":{},"11":{},"12":{},"13":{},"14":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["first(auto",{"_index":2632,"t":{},"b":{"18":{}}}],["first(b1",{"_index":266,"t":{},"b":{"1":{}}}],["first(b2",{"_index":271,"t":{},"b":{"1":{}}}],["first(boston",{"_index":197,"t":{},"b":{"1":{},"19":{}}}],["first(carseat",{"_index":3292,"t":{},"b":{"23":{}}}],["first(d",{"_index":383,"t":{},"b":{"1":{}}}],["first(data",{"_index":637,"t":{},"b":{"2":{}}}],["first(iri",{"_index":449,"t":{},"b":{"1":{},"8":{}}}],["first(iris2",{"_index":1871,"t":{},"b":{"8":{}}}],["first(x",{"_index":809,"t":{},"b":{"4":{},"5":{},"8":{},"13":{}}}],["fit",{"_index":17,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fit!(clf",{"_index":2889,"t":{},"b":{"20":{}}}],["fit!(cmach",{"_index":884,"t":{},"b":{"4":{}}}],["fit!(dtc",{"_index":1651,"t":{},"b":{"6":{}}}],["fit!(dtr",{"_index":3354,"t":{},"b":{"23":{}}}],["fit!(fil",{"_index":1581,"t":{},"b":{"6":{}}}],["fit!(i",{"_index":975,"t":{},"b":{"4":{},"13":{},"14":{}}}],["fit!(knn",{"_index":2001,"t":{},"b":{"10":{}}}],["fit!(lr1",{"_index":3056,"t":{},"b":{"21":{}}}],["fit!(lr2",{"_index":3061,"t":{},"b":{"21":{}}}],["fit!(lr3",{"_index":3064,"t":{},"b":{"21":{}}}],["fit!(m",{"_index":2414,"t":{},"b":{"15":{}}}],["fit!(m)machine{probabilistictunedmodel",{"_index":2406,"t":{},"b":{"15":{}}}],["fit!(mach",{"_index":1019,"t":{},"b":{"4":{},"19":{},"23":{}}}],["fit!(mach_uni)machine{linearregressor",{"_index":2737,"t":{},"b":{"19":{}}}],["fit!(mlm",{"_index":3031,"t":{},"b":{"21":{}}}],["fit!(mstd",{"_index":2987,"t":{},"b":{"20":{}}}],["fit!(mtm",{"_index":1103,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["fit!(pca",{"_index":1815,"t":{},"b":{"7":{},"17":{}}}],["fit!(pip",{"_index":3199,"t":{},"b":{"22":{}}}],["fit!(rf",{"_index":3370,"t":{},"b":{"23":{}}}],["fit!(spca",{"_index":2543,"t":{},"b":{"17":{}}}],["fit!(spca2",{"_index":2569,"t":{},"b":{"17":{}}}],["fit!(stand",{"_index":2234,"t":{},"b":{"12":{}}}],["fit!(svc",{"_index":3404,"t":{},"b":{"24":{}}}],["fit!(tre",{"_index":2200,"t":{},"b":{"12":{}}}],["fit!(tuned_ensembl",{"_index":2060,"t":{},"b":{"10":{}}}],["fit!(w",{"_index":2295,"t":{},"b":{"13":{}}}],["fit!(xgb",{"_index":3379,"t":{},"b":{"23":{}}}],["fit_intercept",{"_index":1591,"t":{},"b":{"6":{},"7":{},"8":{},"19":{},"21":{}}}],["fitresult",{"_index":2210,"t":{},"b":{"12":{}}}],["fitresults(i",{"_index":1009,"t":{},"b":{"4":{},"14":{}}}],["fitted_param",{"_index":2202,"t":{},"b":{"12":{},"15":{},"19":{}}}],["fitted_params(m).best_model.max_depth1",{"_index":2409,"t":{},"b":{"15":{}}}],["fitted_params(m).best_model.max_depth2",{"_index":2415,"t":{},"b":{"15":{}}}],["fitted_params(mach",{"_index":2753,"t":{},"b":{"19":{}}}],["fitted_params(mach_uni",{"_index":2740,"t":{},"b":{"19":{}}}],["fitted_params(mtm).best_model",{"_index":1106,"t":{},"b":{"4":{},"5":{},"22":{}}}],["fitted_params(mtm).best_model.treedecisiontreeclassifi",{"_index":3347,"t":{},"b":{"23":{}}}],["fitted_params(mtm).best_modelsimplepip",{"_index":1631,"t":{},"b":{"6":{}}}],["fitted_params(mtm.fitresult.fitresult.machin",{"_index":3240,"t":{},"b":{"22":{}}}],["fitted_params(tre",{"_index":2203,"t":{},"b":{"12":{}}}],["fitted_params(tuned_ensemble).best_model",{"_index":2063,"t":{},"b":{"10":{}}}],["fix",{"_index":929,"t":{},"b":{"4":{},"5":{},"11":{}}}],["fl",{"_index":1130,"t":{},"b":{"5":{}}}],["flavanoid",{"_index":1682,"t":{},"b":{"7":{}}}],["float",{"_index":685,"t":{},"b":{"3":{},"7":{},"19":{}}}],["float64",{"_index":199,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"11":{},"13":{},"15":{},"18":{},"19":{},"20":{},"23":{}}}],["flow",{"_index":2283,"t":{},"b":{"13":{}}}],["focus",{"_index":155,"t":{},"b":{"1":{}}}],["fold",{"_index":2027,"t":{},"b":{"10":{},"16":{},"21":{}}}],["folder",{"_index":2449,"t":{},"b":{"16":{}}}],["follow",{"_index":57,"t":{},"b":{"0":{},"4":{},"5":{},"6":{},"9":{},"11":{},"13":{},"16":{},"21":{}}}],["fontsize=12",{"_index":1342,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"20":{},"21":{},"22":{}}}],["fontsize=13",{"_index":2585,"t":{},"b":{"17":{}}}],["fontsize=14",{"_index":1337,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"20":{},"21":{},"22":{}}}],["foo",{"_index":382,"t":{},"b":{"1":{}}}],["foo(x",{"_index":378,"t":{},"b":{"1":{}}}],["foo.csv",{"_index":584,"t":{},"b":{"2":{}}}],["forest",{"_index":2088,"t":{},"b":{"11":{},"15":{},"23":{}}}],["forest.atom.n_subfeatur",{"_index":2124,"t":{},"b":{"11":{}}}],["forest.n",{"_index":2143,"t":{},"b":{"11":{}}}],["forestgradi",{"_index":3288,"t":{},"b":{"23":{}}}],["foresttuningreportingprelim",{"_index":2083,"t":{},"b":{"11":{}}}],["forget",{"_index":1574,"t":{},"b":{"6":{}}}],["form",{"_index":468,"t":{},"b":{"1":{},"14":{},"21":{}}}],["found",{"_index":700,"t":{},"b":{"3":{},"7":{},"25":{}}}],["fp",{"_index":2739,"t":{},"b":{"19":{}}}],["fpath",{"_index":626,"t":{},"b":{"2":{}}}],["fpath=joinpath(\"data",{"_index":586,"t":{},"b":{"2":{}}}],["fpr",{"_index":3007,"t":{},"b":{"20":{}}}],["fraction",{"_index":2076,"t":{},"b":{"10":{},"11":{},"15":{}}}],["fraction_train",{"_index":2400,"t":{},"b":{"15":{}}}],["frame",{"_index":9,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["franklin.jl",{"_index":135,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["from_network",{"_index":2335,"t":{},"b":{"14":{}}}],["fs",{"_index":3107,"t":{},"b":{"21":{}}}],["fs.featur",{"_index":3102,"t":{},"b":{"21":{}}}],["full",{"_index":611,"t":{},"b":{"2":{},"4":{},"5":{},"7":{},"13":{},"14":{},"18":{}}}],["fulli",{"_index":2369,"t":{},"b":{"14":{}}}],["function",{"_index":94,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["fundament",{"_index":2457,"t":{},"b":{"16":{}}}],["further",{"_index":388,"t":{},"b":{"1":{},"20":{}}}],["gadfly.jl",{"_index":2699,"t":{},"b":{"18":{}}}],["gamma",{"_index":1165,"t":{},"b":{"5":{},"6":{},"7":{}}}],["garagearea",{"_index":821,"t":{},"b":{"4":{}}}],["garagecar",{"_index":819,"t":{},"b":{"4":{}}}],["gaston",{"_index":2710,"t":{},"b":{"18":{}}}],["gats1i",{"_index":630,"t":{},"b":{"2":{}}}],["gaussiannbclassifi",{"_index":1906,"t":{},"b":{"8":{}}}],["gaussianprocessclassifi",{"_index":1908,"t":{},"b":{"8":{}}}],["gbtree",{"_index":1162,"t":{},"b":{"5":{}}}],["gdf",{"_index":482,"t":{},"b":{"1":{}}}],["gdf[1",{"_index":486,"t":{},"b":{"1":{}}}],["gender",{"_index":412,"t":{},"b":{"1":{},"9":{}}}],["gener",{"_index":1220,"t":{},"b":{"5":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"24":{}}}],["generalis",{"_index":3333,"t":{},"b":{"23":{}}}],["gentl",{"_index":2464,"t":{},"b":{"16":{}}}],["gentler",{"_index":3092,"t":{},"b":{"21":{}}}],["get",{"_index":13,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["get_mse(lr",{"_index":3067,"t":{},"b":{"21":{}}}],["get_mse(lr1",{"_index":3070,"t":{},"b":{"21":{}}}],["get_mse(lr2",{"_index":3071,"t":{},"b":{"21":{}}}],["get_mse(lr3",{"_index":3075,"t":{},"b":{"21":{}}}],["get_mse(lr3)get_mse(lr1",{"_index":3072,"t":{},"b":{"21":{}}}],["ggplot2",{"_index":2703,"t":{},"b":{"18":{}}}],["gilbert",{"_index":843,"t":{},"b":{"4":{}}}],["gist",{"_index":3093,"t":{},"b":{"21":{}}}],["give",{"_index":515,"t":{},"b":{"1":{},"10":{},"12":{},"18":{},"19":{}}}],["given",{"_index":506,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"8":{},"9":{},"13":{},"19":{},"23":{}}}],["glm",{"_index":1914,"t":{},"b":{"8":{},"19":{}}}],["glm.jl",{"_index":1939,"t":{},"b":{"8":{}}}],["go",{"_index":1622,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"16":{}}}],["goal",{"_index":1078,"t":{},"b":{"4":{},"6":{},"15":{},"21":{}}}],["good",{"_index":1857,"t":{},"b":{"7":{},"13":{},"20":{},"22":{},"23":{}}}],["gradient",{"_index":3373,"t":{},"b":{"23":{}}}],["gradientboostingclassifi",{"_index":1909,"t":{},"b":{"8":{}}}],["grammar",{"_index":2701,"t":{},"b":{"18":{}}}],["graph",{"_index":2274,"t":{},"b":{"13":{}}}],["graphic",{"_index":2702,"t":{},"b":{"18":{}}}],["great",{"_index":1362,"t":{},"b":{"5":{}}}],["green",{"_index":2578,"t":{},"b":{"17":{}}}],["grid",{"_index":1064,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["grid(resolution=10",{"_index":3278,"t":{},"b":{"22":{}}}],["grid(resolution=3",{"_index":1066,"t":{},"b":{"4":{}}}],["grlivarea",{"_index":813,"t":{},"b":{"4":{}}}],["ground",{"_index":2316,"t":{},"b":{"13":{},"20":{}}}],["group",{"_index":77,"t":{},"b":{"0":{},"1":{},"17":{}}}],["groupbi",{"_index":466,"t":{},"b":{"1":{}}}],["groupby(df",{"_index":476,"t":{},"b":{"1":{}}}],["groupby(iri",{"_index":483,"t":{},"b":{"1":{}}}],["grow_polici",{"_index":1181,"t":{},"b":{"5":{}}}],["grown",{"_index":1661,"t":{},"b":{"7":{}}}],["gtbex3",{"_index":423,"t":{},"b":{"1":{}}}],["guid",{"_index":2481,"t":{},"b":{"16":{}}}],["gymnast",{"_index":3091,"t":{},"b":{"21":{}}}],["handl",{"_index":0,"t":{"0":{}},"b":{"0":{},"6":{}}}],["happen",{"_index":2875,"t":{},"b":{"20":{}}}],["hcat(x",{"_index":2786,"t":{},"b":{"19":{}}}],["hcat(x.lstat",{"_index":2797,"t":{},"b":{"19":{}}}],["header",{"_index":607,"t":{},"b":{"2":{},"6":{}}}],["header=[\"class",{"_index":1673,"t":{},"b":{"7":{}}}],["header=fals",{"_index":653,"t":{},"b":{"2":{}}}],["header=head",{"_index":636,"t":{},"b":{"2":{},"6":{}}}],["heatmap",{"_index":1367,"t":{},"b":{"5":{},"11":{}}}],["height",{"_index":1953,"t":{},"b":{"9":{}}}],["held",{"_index":1609,"t":{},"b":{"6":{}}}],["help",{"_index":440,"t":{},"b":{"1":{},"5":{},"8":{},"9":{},"16":{}}}],["helper",{"_index":709,"t":{},"b":{"3":{}}}],["here",{"_index":101,"t":{},"b":{"0":{},"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["hierarchi",{"_index":699,"t":{},"b":{"3":{}}}],["high",{"_index":113,"t":{},"b":{"0":{},"3":{},"7":{},"23":{}}}],["high\"])6",{"_index":116,"t":{},"b":{"0":{}}}],["higher",{"_index":2927,"t":{},"b":{"20":{},"21":{},"23":{}}}],["highlight",{"_index":2467,"t":{},"b":{"16":{}}}],["hist(i",{"_index":3179,"t":{},"b":{"22":{}}}],["hist(r",{"_index":2780,"t":{},"b":{"19":{},"22":{}}}],["histogram",{"_index":1753,"t":{},"b":{"7":{},"19":{},"22":{}}}],["hit",{"_index":3152,"t":{},"b":{"22":{}}}],["hitter",{"_index":3146,"t":{},"b":{"22":{}}}],["hmrun",{"_index":3153,"t":{},"b":{"22":{}}}],["hold",{"_index":1213,"t":{},"b":{"5":{},"20":{}}}],["holdout",{"_index":2399,"t":{},"b":{"15":{}}}],["home",{"_index":5,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["homogen",{"_index":2008,"t":{},"b":{"10":{}}}],["hors",{"_index":42,"t":{"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["horsepow",{"_index":2637,"t":{},"b":{"18":{},"21":{}}}],["horsepower=range(50",{"_index":3035,"t":{},"b":{"21":{}}}],["hospit",{"_index":1517,"t":{},"b":{"6":{}}}],["hospital_numb",{"_index":1443,"t":{},"b":{"6":{}}}],["hot",{"_index":922,"t":{},"b":{"4":{},"6":{},"9":{},"16":{},"22":{},"23":{}}}],["hottreeclf",{"_index":3327,"t":{},"b":{"23":{}}}],["hottreeclf(hot",{"_index":3326,"t":{},"b":{"23":{}}}],["hous",{"_index":794,"t":{},"b":{"4":{}}}],["hp",{"_index":3042,"t":{},"b":{"21":{}}}],["hp1",{"_index":3058,"t":{},"b":{"21":{}}}],["hp2",{"_index":3059,"t":{},"b":{"21":{}}}],["hp2=hp.^2",{"_index":3046,"t":{},"b":{"21":{}}}],["hp2=hpn.^2",{"_index":3080,"t":{},"b":{"21":{}}}],["hp3",{"_index":3062,"t":{},"b":{"21":{}}}],["hp3=hp.^3",{"_index":3047,"t":{},"b":{"21":{}}}],["hp3=hpn.^3",{"_index":3081,"t":{},"b":{"21":{}}}],["hpn",{"_index":3077,"t":{},"b":{"21":{}}}],["http",{"_index":1434,"t":{},"b":{"6":{},"7":{}}}],["http.get(\"https://archive.ics.uci.edu/ml/machin",{"_index":1436,"t":{},"b":{"6":{},"7":{}}}],["http.jl",{"_index":1669,"t":{},"b":{"7":{}}}],["hue",{"_index":1687,"t":{},"b":{"7":{}}}],["huge",{"_index":2960,"t":{},"b":{"20":{}}}],["hunch",{"_index":1713,"t":{},"b":{"7":{}}}],["hyperparamet",{"_index":861,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"22":{}}}],["hyperparameters\"arrow",{"_index":2251,"t":{},"b":{"13":{}}}],["hyperparameterspecifi",{"_index":2382,"t":{},"b":{"15":{}}}],["i.",{"_index":72,"t":{},"b":{"0":{},"20":{}}}],["id",{"_index":411,"t":{},"b":{"1":{}}}],["idea",{"_index":2127,"t":{},"b":{"11":{},"18":{},"23":{}}}],["idx_missing_outcom",{"_index":1539,"t":{},"b":{"6":{}}}],["idxshow",{"_index":3267,"t":{},"b":{"22":{}}}],["ifelse.(carseats.sal",{"_index":3322,"t":{},"b":{"23":{}}}],["ignor",{"_index":3169,"t":{},"b":{"22":{}}}],["ignorerepeated=tru",{"_index":1469,"t":{},"b":{"6":{}}}],["iid",{"_index":2618,"t":{},"b":{"18":{}}}],["implement",{"_index":707,"t":{},"b":{"3":{},"8":{},"12":{},"15":{}}}],["implicit",{"_index":2026,"t":{},"b":{"10":{}}}],["implicitli",{"_index":1974,"t":{},"b":{"9":{},"10":{},"11":{}}}],["import",{"_index":671,"t":{},"b":{"3":{},"4":{},"13":{},"19":{},"20":{},"22":{}}}],["improv",{"_index":1642,"t":{},"b":{"6":{}}}],["imput",{"_index":1534,"t":{},"b":{"6":{},"16":{}}}],["includ",{"_index":3259,"t":{},"b":{"22":{}}}],["incom",{"_index":3295,"t":{},"b":{"23":{}}}],["increas",{"_index":2129,"t":{},"b":{"11":{},"20":{}}}],["increment",{"_index":3095,"t":{},"b":{"21":{}}}],["inde",{"_index":2935,"t":{},"b":{"20":{}}}],["index",{"_index":2624,"t":{},"b":{"18":{}}}],["indic",{"_index":359,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"15":{},"18":{},"20":{},"21":{}}}],["individu",{"_index":926,"t":{},"b":{"4":{}}}],["indu",{"_index":181,"t":{},"b":{"1":{},"3":{},"19":{}}}],["infer",{"_index":1867,"t":{},"b":{"8":{},"14":{},"20":{}}}],["infinit",{"_index":704,"t":{},"b":{"3":{}}}],["influenc",{"_index":2700,"t":{},"b":{"18":{}}}],["inform",{"_index":505,"t":{},"b":{"1":{},"3":{},"10":{},"12":{},"15":{},"16":{}}}],["initi",{"_index":972,"t":{},"b":{"4":{},"6":{},"7":{},"15":{}}}],["input",{"_index":859,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"13":{},"14":{}}}],["inspect",{"_index":715,"t":{},"b":{"3":{},"5":{},"6":{},"12":{},"15":{},"17":{},"23":{}}}],["inspir",{"_index":1120,"t":{},"b":{"5":{}}}],["instanc",{"_index":377,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"15":{},"19":{},"20":{},"24":{}}}],["instanti",{"_index":1013,"t":{},"b":{"4":{},"10":{},"21":{}}}],["instead",{"_index":2521,"t":{},"b":{"17":{}}}],["insur",{"_index":2807,"t":{},"b":{"20":{}}}],["int",{"_index":676,"t":{},"b":{"3":{}}}],["int64",{"_index":200,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"19":{}}}],["integ",{"_index":772,"t":{},"b":{"3":{},"7":{},"19":{},"22":{}}}],["intend",{"_index":714,"t":{},"b":{"3":{}}}],["intens",{"_index":1686,"t":{},"b":{"7":{}}}],["interact",{"_index":2782,"t":{},"b":{"19":{}}}],["intercept",{"_index":2773,"t":{},"b":{"19":{},"22":{}}}],["interest",{"_index":263,"t":{},"b":{"1":{},"15":{},"17":{},"20":{}}}],["interestingli",{"_index":1023,"t":{},"b":{"4":{},"6":{}}}],["interfac",{"_index":1884,"t":{},"b":{"8":{},"23":{}}}],["interpret",{"_index":660,"t":{"3":{}},"b":{"3":{},"6":{},"7":{},"8":{},"13":{},"16":{},"19":{},"20":{}}}],["interpretationmachin",{"_index":1859,"t":{},"b":{"8":{}}}],["intro",{"_index":26,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["introduc",{"_index":2824,"t":{},"b":{"20":{}}}],["introduct",{"_index":154,"t":{},"b":{"1":{},"2":{},"16":{},"21":{}}}],["intuit",{"_index":170,"t":{},"b":{"1":{},"7":{},"20":{}}}],["invers",{"_index":927,"t":{},"b":{"4":{},"12":{},"13":{}}}],["inverse_transform",{"_index":2228,"t":{},"b":{"12":{}}}],["inverse_transform(1…76",{"_index":2353,"t":{},"b":{"14":{}}}],["inverse_transform(8…67",{"_index":2314,"t":{},"b":{"13":{}}}],["inverse_transform(box",{"_index":2311,"t":{},"b":{"13":{},"14":{}}}],["inverse_transform(stand",{"_index":2245,"t":{},"b":{"12":{}}}],["inverse_transform(z",{"_index":2330,"t":{},"b":{"13":{}}}],["invert",{"_index":971,"t":{},"b":{"4":{},"13":{}}}],["investig",{"_index":1364,"t":{},"b":{"5":{},"6":{},"20":{}}}],["invit",{"_index":1751,"t":{},"b":{"7":{}}}],["iri",{"_index":447,"t":{},"b":{"1":{},"2":{},"4":{},"8":{},"12":{}}}],["iris2",{"_index":1869,"t":{},"b":{"8":{}}}],["is_probabilistic=tru",{"_index":1603,"t":{},"b":{"6":{},"7":{},"14":{},"23":{}}}],["is_probabilistic=truemnpip",{"_index":1769,"t":{},"b":{"7":{}}}],["isl",{"_index":2469,"t":{},"b":{"16":{},"20":{},"21":{}}}],["islr",{"_index":2962,"t":{},"b":{"20":{}}}],["ismissing.(datac.outcom",{"_index":1538,"t":{},"b":{"6":{}}}],["ismissing.(i",{"_index":3171,"t":{},"b":{"22":{}}}],["it'",{"_index":730,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"13":{},"14":{},"19":{},"22":{},"23":{}}}],["itali",{"_index":1663,"t":{},"b":{"7":{}}}],["itself",{"_index":2187,"t":{},"b":{"12":{},"20":{}}}],["j",{"_index":3099,"t":{},"b":{"21":{}}}],["john",{"_index":693,"t":{},"b":{"3":{}}}],["joinpath",{"_index":600,"t":{},"b":{"2":{}}}],["jointli",{"_index":2032,"t":{},"b":{"10":{}}}],["juic",{"_index":2525,"t":{},"b":{"17":{}}}],["julia",{"_index":246,"t":{},"b":{"1":{},"2":{},"4":{},"7":{},"8":{},"13":{},"16":{},"18":{},"19":{}}}],["k",{"_index":933,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{},"21":{}}}],["k_rang",{"_index":1041,"t":{},"b":{"4":{},"10":{}}}],["kdtree",{"_index":935,"t":{},"b":{"4":{},"10":{}}}],["keep",{"_index":1433,"t":{},"b":{"6":{},"12":{}}}],["kernel",{"_index":3417,"t":{},"b":{"24":{}}}],["key",{"_index":156,"t":{},"b":{"1":{},"6":{}}}],["keyword",{"_index":1970,"t":{},"b":{"9":{},"15":{}}}],["kind",{"_index":2548,"t":{},"b":{"17":{}}}],["kind=:target",{"_index":1000,"t":{},"b":{"4":{},"14":{}}}],["kind=:target)source{:target",{"_index":949,"t":{},"b":{"4":{},"13":{},"14":{}}}],["km",{"_index":2564,"t":{},"b":{"17":{}}}],["kmean",{"_index":2561,"t":{},"b":{"17":{}}}],["kmeans(k=3",{"_index":2565,"t":{},"b":{"17":{}}}],["knc",{"_index":1929,"t":{},"b":{"8":{}}}],["kneighborsclassifi",{"_index":1911,"t":{},"b":{"8":{}}}],["kneighborsclassifierkneighborsclassifi",{"_index":1930,"t":{},"b":{"8":{}}}],["knn",{"_index":916,"t":{"20":{}},"b":{"4":{},"7":{},"9":{},"10":{},"16":{},"20":{}}}],["knn_model",{"_index":1003,"t":{},"b":{"4":{},"10":{}}}],["knn_model.k",{"_index":1043,"t":{},"b":{"4":{}}}],["knn_model::knnregressor",{"_index":994,"t":{},"b":{"4":{}}}],["knn_weight",{"_index":1037,"t":{},"b":{"4":{}}}],["knn_weight::float64",{"_index":996,"t":{},"b":{"4":{}}}],["knnc",{"_index":2954,"t":{},"b":{"20":{}}}],["knnc.k",{"_index":2958,"t":{},"b":{"20":{}}}],["knnclassifi",{"_index":1762,"t":{},"b":{"7":{},"8":{},"20":{}}}],["knnclassifier(k=1",{"_index":2955,"t":{},"b":{"20":{}}}],["knnpipe(std=standard",{"_index":1765,"t":{},"b":{"7":{}}}],["knnregressor",{"_index":1075,"t":{},"b":{"4":{},"9":{},"10":{}}}],["knnregressor(k=10)knnregressor",{"_index":1997,"t":{},"b":{"10":{}}}],["knnregressor(k=3",{"_index":1968,"t":{},"b":{"9":{}}}],["knnregressor(k=5",{"_index":982,"t":{},"b":{"4":{}}}],["knnregressorknnregressor",{"_index":932,"t":{},"b":{"4":{}}}],["knnridgeblend",{"_index":992,"t":{},"b":{"4":{}}}],["knnridgeblend(knnregressor(k=5",{"_index":1015,"t":{},"b":{"4":{}}}],["know",{"_index":1490,"t":{},"b":{"6":{},"7":{}}}],["known",{"_index":562,"t":{},"b":{"2":{},"3":{},"4":{}}}],["krb",{"_index":1014,"t":{},"b":{"4":{}}}],["krb.knn_model.k",{"_index":1029,"t":{},"b":{"4":{}}}],["krb.knn_weight",{"_index":1028,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambda",{"_index":1031,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambdakrb.knn_weight",{"_index":1030,"t":{},"b":{"4":{}}}],["krb_best",{"_index":1105,"t":{},"b":{"4":{}}}],["krb_best.knn_model.k",{"_index":1107,"t":{},"b":{"4":{}}}],["krb_best.knn_weight",{"_index":1111,"t":{},"b":{"4":{}}}],["krb_best.knn_weightkrb_best.knn_model.k",{"_index":1109,"t":{},"b":{"4":{}}}],["krb_best.ridge_model.lambda",{"_index":1108,"t":{},"b":{"4":{}}}],["l2",{"_index":1590,"t":{},"b":{"6":{},"7":{}}}],["l_rang",{"_index":1047,"t":{},"b":{"4":{}}}],["lab",{"_index":28,"t":{"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["label",{"_index":80,"t":{},"b":{"0":{},"3":{}}}],["label=\"exponenti",{"_index":3189,"t":{},"b":{"22":{}}}],["label=\"laplac",{"_index":3216,"t":{},"b":{"22":{}}}],["label=\"norm",{"_index":3214,"t":{},"b":{"22":{}}}],["label=\"ord",{"_index":3088,"t":{},"b":{"21":{}}}],["lag1",{"_index":2816,"t":{},"b":{"20":{}}}],["lag2",{"_index":2817,"t":{},"b":{"20":{}}}],["lag3",{"_index":2818,"t":{},"b":{"20":{}}}],["lag4",{"_index":2819,"t":{},"b":{"20":{}}}],["lag5",{"_index":2820,"t":{},"b":{"20":{}}}],["lambda",{"_index":1036,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"13":{}}}],["lasso",{"_index":2471,"t":{"22":{}},"b":{"16":{},"22":{}}}],["lassoregressor",{"_index":3145,"t":{},"b":{"22":{}}}],["last",{"_index":128,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["last(test)+1:nrows(x",{"_index":2994,"t":{},"b":{"20":{}}}],["last(train",{"_index":1488,"t":{},"b":{"6":{}}}],["last(train)+1:length(i",{"_index":2923,"t":{},"b":{"20":{}}}],["later",{"_index":2271,"t":{},"b":{"13":{},"20":{}}}],["latex",{"_index":2708,"t":{},"b":{"18":{}}}],["layer",{"_index":951,"t":{},"b":{"4":{},"13":{},"14":{}}}],["lc50",{"_index":634,"t":{},"b":{"2":{}}}],["lda",{"_index":1912,"t":{"20":{}},"b":{"8":{},"16":{},"20":{}}}],["lead",{"_index":952,"t":{},"b":{"4":{}}}],["leaf_siz",{"_index":1932,"t":{},"b":{"8":{}}}],["leafsiz",{"_index":938,"t":{},"b":{"4":{},"10":{}}}],["leagu",{"_index":3162,"t":{},"b":{"22":{}}}],["league__a",{"_index":3261,"t":{},"b":{"22":{}}}],["league__n",{"_index":3262,"t":{},"b":{"22":{}}}],["learn",{"_index":24,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["learning_curve!(m",{"_index":2135,"t":{},"b":{"11":{}}}],["learning_curve!(xgbm",{"_index":1225,"t":{},"b":{"5":{}}}],["leav",{"_index":2205,"t":{},"b":{"12":{},"20":{}}}],["left",{"_index":1536,"t":{},"b":{"6":{},"12":{},"21":{}}}],["legend([\"class",{"_index":1842,"t":{},"b":{"7":{}}}],["legend([\"group",{"_index":2586,"t":{},"b":{"17":{}}}],["legend(fontsize=12",{"_index":3190,"t":{},"b":{"22":{}}}],["legend(fontsize=14",{"_index":3089,"t":{},"b":{"21":{}}}],["length",{"_index":2094,"t":{},"b":{"11":{}}}],["length(coefs)0.2727272727272727",{"_index":3257,"t":{},"b":{"22":{}}}],["length(sch.nam",{"_index":2090,"t":{},"b":{"11":{}}}],["length(unique(datac.hospital_number))346",{"_index":1521,"t":{},"b":{"6":{}}}],["length(x",{"_index":380,"t":{},"b":{"1":{},"18":{}}}],["length(x)x",{"_index":2593,"t":{},"b":{"18":{}}}],["length=100",{"_index":2749,"t":{},"b":{"19":{},"21":{},"22":{}}}],["lesion",{"_index":1480,"t":{},"b":{"6":{}}}],["lesion_1",{"_index":1464,"t":{},"b":{"6":{}}}],["lesion_2",{"_index":1465,"t":{},"b":{"6":{}}}],["lesion_3",{"_index":1466,"t":{},"b":{"6":{}}}],["let'",{"_index":95,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["level",{"_index":81,"t":{},"b":{"0":{},"4":{},"7":{}}}],["levels!(v",{"_index":115,"t":{},"b":{"0":{}}}],["levels(i",{"_index":1149,"t":{},"b":{"5":{}}}],["levels(v)3",{"_index":82,"t":{},"b":{"0":{}}}],["lexicograph",{"_index":86,"t":{},"b":{"0":{},"20":{}}}],["lfit",{"_index":3210,"t":{},"b":{"22":{}}}],["liber",{"_index":2466,"t":{},"b":{"16":{}}}],["librari",{"_index":2614,"t":{},"b":{"18":{}}}],["lienart",{"_index":126,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["limit",{"_index":616,"t":{},"b":{"2":{},"6":{}}}],["line",{"_index":610,"t":{},"b":{"2":{},"7":{},"17":{},"21":{}}}],["linear",{"_index":1231,"t":{"19":{}},"b":{"5":{},"6":{},"10":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["linearbinaryclassifi",{"_index":1913,"t":{},"b":{"8":{}}}],["linearregressor",{"_index":1938,"t":{},"b":{"8":{},"19":{},"21":{},"22":{}}}],["linearregressor()linearregressor",{"_index":2732,"t":{},"b":{"19":{}}}],["linestyle=\"non",{"_index":1830,"t":{},"b":{"7":{}}}],["link",{"_index":50,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["linmod",{"_index":3052,"t":{},"b":{"21":{}}}],["linmod(f",{"_index":3048,"t":{},"b":{"21":{}}}],["linreg",{"_index":1942,"t":{},"b":{"8":{}}}],["list",{"_index":560,"t":{},"b":{"2":{},"3":{},"18":{}}}],["littl",{"_index":1858,"t":{},"b":{"7":{}}}],["lm",{"_index":3028,"t":{},"b":{"21":{}}}],["load",{"_index":8,"t":{"2":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["load_am",{"_index":801,"t":{},"b":{"4":{}}}],["load_boston",{"_index":2089,"t":{},"b":{"11":{}}}],["load_crab",{"_index":1126,"t":{},"b":{"5":{}}}],["load_iri",{"_index":1880,"t":{},"b":{"8":{},"12":{},"15":{}}}],["load_reduced_am",{"_index":802,"t":{},"b":{"4":{}}}],["local",{"_index":554,"t":{},"b":{"2":{}}}],["log",{"_index":923,"t":{},"b":{"4":{}}}],["log(i",{"_index":957,"t":{},"b":{"4":{}}}],["log10",{"_index":2050,"t":{},"b":{"10":{}}}],["logarithm",{"_index":2051,"t":{},"b":{"10":{}}}],["logist",{"_index":1761,"t":{"20":{}},"b":{"7":{},"20":{}}}],["logisticclassifi",{"_index":1916,"t":{},"b":{"8":{},"20":{}}}],["logisticcvclassifi",{"_index":1915,"t":{},"b":{"8":{}}}],["look",{"_index":1332,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"11":{},"16":{},"17":{},"19":{},"20":{},"22":{}}}],["loos",{"_index":58,"t":{},"b":{"0":{},"1":{}}}],["loss",{"_index":909,"t":{},"b":{"4":{},"20":{}}}],["lossfunct",{"_index":1125,"t":{},"b":{"5":{}}}],["lot",{"_index":437,"t":{},"b":{"1":{},"4":{},"6":{}}}],["lotarea",{"_index":818,"t":{},"b":{"4":{}}}],["low",{"_index":112,"t":{},"b":{"0":{},"3":{},"11":{}}}],["lower",{"_index":1638,"t":{},"b":{"6":{},"15":{},"23":{}}}],["lower=0",{"_index":1353,"t":{},"b":{"5":{}}}],["lower=0.1",{"_index":1052,"t":{},"b":{"4":{},"22":{},"24":{}}}],["lower=0.4",{"_index":2150,"t":{},"b":{"11":{},"15":{}}}],["lower=0.5",{"_index":2046,"t":{},"b":{"10":{}}}],["lower=0.6",{"_index":1398,"t":{},"b":{"5":{}}}],["lower=1",{"_index":1049,"t":{},"b":{"4":{},"6":{},"10":{},"11":{},"15":{},"22":{},"23":{}}}],["lower=10",{"_index":2133,"t":{},"b":{"11":{}}}],["lower=2",{"_index":1044,"t":{},"b":{"4":{},"23":{}}}],["lower=3",{"_index":1351,"t":{},"b":{"5":{}}}],["lower=50",{"_index":1223,"t":{},"b":{"5":{}}}],["lower=500",{"_index":3235,"t":{},"b":{"22":{}}}],["lr",{"_index":3050,"t":{},"b":{"21":{}}}],["lr1",{"_index":3053,"t":{},"b":{"21":{}}}],["lr2",{"_index":3060,"t":{},"b":{"21":{}}}],["lr3",{"_index":3063,"t":{},"b":{"21":{}}}],["lrm",{"_index":3051,"t":{},"b":{"21":{}}}],["lrm.fs.featur",{"_index":3057,"t":{},"b":{"21":{}}}],["ls=\"none",{"_index":2421,"t":{},"b":{"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["lstat",{"_index":191,"t":{},"b":{"1":{},"3":{},"19":{}}}],["lstat2",{"_index":2801,"t":{},"b":{"19":{}}}],["lstat^2",{"_index":2796,"t":{},"b":{"19":{}}}],["lw=3",{"_index":3040,"t":{},"b":{"21":{},"22":{}}}],["m",{"_index":1887,"t":{},"b":{"8":{},"9":{},"11":{},"15":{},"17":{}}}],["m.package_nam",{"_index":1891,"t":{},"b":{"8":{}}}],["m.prediction_typ",{"_index":1889,"t":{},"b":{"8":{}}}],["mach",{"_index":1017,"t":{},"b":{"4":{},"6":{},"19":{},"23":{}}}],["mach_uni",{"_index":2736,"t":{},"b":{"19":{}}}],["machin",{"_index":159,"t":{"24":{}},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"23":{},"24":{}}}],["machine(bayesianlda",{"_index":2937,"t":{},"b":{"20":{}}}],["machine(bayesianqda",{"_index":2951,"t":{},"b":{"20":{}}}],["machine(box_model",{"_index":2308,"t":{},"b":{"13":{},"14":{}}}],["machine(compositemodel",{"_index":2364,"t":{},"b":{"14":{}}}],["machine(creg",{"_index":875,"t":{},"b":{"4":{}}}],["machine(decisiontreeregressor",{"_index":2115,"t":{},"b":{"11":{}}}],["machine(dtr_model",{"_index":3353,"t":{},"b":{"23":{}}}],["machine(ensemble_model",{"_index":2016,"t":{},"b":{"10":{}}}],["machine(fillimput",{"_index":1580,"t":{},"b":{"6":{}}}],["machine(forest",{"_index":2131,"t":{},"b":{"11":{}}}],["machine(knn_model",{"_index":1006,"t":{},"b":{"4":{},"10":{}}}],["machine(knnc",{"_index":2956,"t":{},"b":{"20":{}}}],["machine(knnclassifier(k=3",{"_index":2995,"t":{},"b":{"20":{}}}],["machine(knnpip",{"_index":1780,"t":{},"b":{"7":{}}}],["machine(knnregressor(k=5",{"_index":959,"t":{},"b":{"4":{}}}],["machine(krb",{"_index":1018,"t":{},"b":{"4":{}}}],["machine(lda(dist=cosinedist",{"_index":2943,"t":{},"b":{"20":{}}}],["machine(lm",{"_index":3030,"t":{},"b":{"21":{}}}],["machine(logisticclassifi",{"_index":2886,"t":{},"b":{"20":{}}}],["machine(lrm",{"_index":3054,"t":{},"b":{"21":{}}}],["machine(m.box_model",{"_index":2376,"t":{},"b":{"14":{}}}],["machine(mdl",{"_index":2380,"t":{},"b":{"14":{},"19":{},"23":{}}}],["machine(mnpip",{"_index":1782,"t":{},"b":{"7":{}}}],["machine(model",{"_index":3198,"t":{},"b":{"22":{}}}],["machine(onehotencod",{"_index":955,"t":{},"b":{"4":{}}}],["machine(pca_mdl",{"_index":2510,"t":{},"b":{"17":{}}}],["machine(pcapip",{"_index":1814,"t":{},"b":{"7":{}}}],["machine(rf_mdl",{"_index":3369,"t":{},"b":{"23":{}}}],["machine(ridge_model",{"_index":1005,"t":{},"b":{"4":{},"13":{},"14":{}}}],["machine(ridgeregressor(lambda=2.5",{"_index":960,"t":{},"b":{"4":{}}}],["machine(simplepip",{"_index":1604,"t":{},"b":{"6":{}}}],["machine(spca2_mdl",{"_index":2568,"t":{},"b":{"17":{}}}],["machine(spca_mdl",{"_index":2542,"t":{},"b":{"17":{}}}],["machine(stand_model",{"_index":2231,"t":{},"b":{"12":{}}}],["machine(standard",{"_index":2288,"t":{},"b":{"13":{},"20":{}}}],["machine(std_model",{"_index":2344,"t":{},"b":{"14":{}}}],["machine(svc_mdl",{"_index":3403,"t":{},"b":{"24":{}}}],["machine(tm",{"_index":1102,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["machine(tree_model",{"_index":2189,"t":{},"b":{"12":{}}}],["machine(tuned_forest",{"_index":2161,"t":{},"b":{"11":{}}}],["machine(xgb",{"_index":1215,"t":{},"b":{"5":{}}}],["machine(xgb_mdl",{"_index":3378,"t":{},"b":{"23":{}}}],["machine(xgboostclassifi",{"_index":1650,"t":{},"b":{"6":{}}}],["machineget",{"_index":3289,"t":{},"b":{"23":{}}}],["machinemor",{"_index":1116,"t":{},"b":{"5":{}}}],["machinetrain",{"_index":2176,"t":{},"b":{"12":{}}}],["machineunsupervis",{"_index":2180,"t":{},"b":{"12":{}}}],["macro",{"_index":1962,"t":{},"b":{"9":{},"14":{}}}],["macrodefin",{"_index":2336,"t":{},"b":{"14":{}}}],["made",{"_index":2087,"t":{},"b":{"11":{}}}],["magnesium",{"_index":1679,"t":{},"b":{"7":{}}}],["magnesium=>continu",{"_index":1717,"t":{},"b":{"7":{}}}],["make",{"_index":404,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"11":{},"12":{},"13":{},"16":{},"20":{}}}],["maki",{"_index":2709,"t":{},"b":{"18":{}}}],["malibu",{"_index":2647,"t":{},"b":{"18":{}}}],["malic",{"_index":1675,"t":{},"b":{"7":{}}}],["manag",{"_index":1845,"t":{},"b":{"7":{}}}],["mani",{"_index":559,"t":{},"b":{"2":{},"3":{},"6":{},"10":{},"11":{},"18":{},"19":{},"20":{}}}],["manifest.toml",{"_index":2448,"t":{},"b":{"16":{}}}],["manipul",{"_index":136,"t":{"1":{}},"b":{"1":{},"16":{},"18":{}}}],["manual",{"_index":2331,"t":{},"b":{"13":{}}}],["mao",{"_index":406,"t":{},"b":{"1":{}}}],["mao31co2",{"_index":436,"t":{},"b":{"1":{}}}],["mao31cod",{"_index":435,"t":{},"b":{"1":{}}}],["maoa31",{"_index":432,"t":{},"b":{"1":{}}}],["maoai2",{"_index":419,"t":{},"b":{"1":{}}}],["maoavntr",{"_index":425,"t":{},"b":{"1":{}}}],["maobi2",{"_index":421,"t":{},"b":{"1":{}}}],["map",{"_index":2876,"t":{},"b":{"20":{}}}],["margin",{"_index":3408,"t":{},"b":{"24":{}}}],["maria",{"_index":694,"t":{},"b":{"3":{}}}],["mark",{"_index":2868,"t":{},"b":{"20":{}}}],["marker",{"_index":2582,"t":{},"b":{"17":{}}}],["marker=\"o",{"_index":1831,"t":{},"b":{"7":{},"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["marker=\"x",{"_index":3396,"t":{},"b":{"24":{}}}],["markersize=10",{"_index":2583,"t":{},"b":{"17":{}}}],["market",{"_index":2804,"t":{},"b":{"20":{}}}],["mask1",{"_index":2572,"t":{},"b":{"17":{}}}],["mask2",{"_index":2573,"t":{},"b":{"17":{}}}],["mask3",{"_index":2574,"t":{},"b":{"17":{}}}],["mask_1",{"_index":1824,"t":{},"b":{"7":{}}}],["mask_2",{"_index":1825,"t":{},"b":{"7":{}}}],["mask_3",{"_index":1826,"t":{},"b":{"7":{}}}],["mass",{"_index":568,"t":{},"b":{"2":{}}}],["mat",{"_index":392,"t":{},"b":{"1":{}}}],["mat[1:3",{"_index":394,"t":{},"b":{"1":{}}}],["match",{"_index":102,"t":{},"b":{"0":{},"8":{},"21":{}}}],["math",{"_index":2606,"t":{},"b":{"18":{}}}],["matplotlib",{"_index":2705,"t":{},"b":{"18":{}}}],["matrix",{"_index":251,"t":{},"b":{"1":{},"6":{},"18":{},"20":{},"21":{}}}],["max",{"_index":286,"t":{},"b":{"1":{}}}],["max)5×4",{"_index":488,"t":{},"b":{"1":{}}}],["max_bin",{"_index":1184,"t":{},"b":{"5":{}}}],["max_delta_step",{"_index":1168,"t":{},"b":{"5":{}}}],["max_depth",{"_index":1166,"t":{},"b":{"5":{},"11":{},"12":{},"15":{},"23":{}}}],["max_depth=10",{"_index":3377,"t":{},"b":{"23":{}}}],["max_leav",{"_index":1183,"t":{},"b":{"5":{}}}],["maximum",{"_index":617,"t":{},"b":{"2":{},"5":{},"11":{},"15":{}}}],["mayb",{"_index":1647,"t":{},"b":{"6":{},"19":{}}}],["mce",{"_index":2224,"t":{},"b":{"12":{}}}],["mcr",{"_index":1615,"t":{},"b":{"6":{},"7":{}}}],["mcr_k",{"_index":1792,"t":{},"b":{"7":{}}}],["mcr_m",{"_index":1794,"t":{},"b":{"7":{}}}],["mcw",{"_index":1372,"t":{},"b":{"5":{}}}],["md",{"_index":1370,"t":{},"b":{"5":{}}}],["mdl",{"_index":2378,"t":{},"b":{"14":{},"19":{},"23":{}}}],["mean",{"_index":151,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"10":{},"11":{},"12":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["mean(estimates.per_fold[1",{"_index":2030,"t":{},"b":{"10":{}}}],["mean(estimates.per_fold[1])estimates.measurement[1",{"_index":2029,"t":{},"b":{"10":{}}}],["mean(w",{"_index":2238,"t":{},"b":{"12":{}}}],["mean(x",{"_index":2620,"t":{},"b":{"18":{}}}],["mean(y[test",{"_index":2997,"t":{},"b":{"20":{}}}],["mean)3×2",{"_index":508,"t":{},"b":{"1":{}}}],["mean0.6129047398190444",{"_index":1641,"t":{},"b":{"6":{}}}],["mean0.8421915405806384",{"_index":1653,"t":{},"b":{"6":{}}}],["mean23.44591836734694",{"_index":2688,"t":{},"b":{"18":{}}}],["meant",{"_index":152,"t":{},"b":{"1":{},"16":{}}}],["measur",{"_index":1087,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"21":{}}}],["measure=[rm",{"_index":2118,"t":{},"b":{"11":{}}}],["measure=cross_entropi",{"_index":1359,"t":{},"b":{"5":{},"6":{},"7":{}}}],["measure=cross_entropy)probabilistictunedmodel",{"_index":2398,"t":{},"b":{"15":{}}}],["measure=hingeloss())(parameter_nam",{"_index":1229,"t":{},"b":{"5":{}}}],["measure=misclassification_r",{"_index":2413,"t":{},"b":{"15":{},"23":{},"24":{}}}],["measure=rm",{"_index":1978,"t":{},"b":{"9":{},"10":{},"11":{},"14":{},"15":{},"22":{},"23":{}}}],["measure=rms)deterministictunedmodel",{"_index":3106,"t":{},"b":{"21":{}}}],["measure=rmsl)deterministictunedmodel",{"_index":1074,"t":{},"b":{"4":{}}}],["med",{"_index":111,"t":{},"b":{"0":{}}}],["median",{"_index":287,"t":{},"b":{"1":{},"11":{},"18":{}}}],["medium",{"_index":3320,"t":{},"b":{"23":{}}}],["medv",{"_index":192,"t":{},"b":{"1":{},"3":{},"19":{},"23":{}}}],["merge_purity_threshold",{"_index":2111,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["messi",{"_index":1432,"t":{},"b":{"6":{}}}],["method",{"_index":1791,"t":{},"b":{"7":{},"9":{},"10":{},"12":{},"14":{}}}],["metric",{"_index":936,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{}}}],["metric_param",{"_index":1935,"t":{},"b":{"8":{}}}],["min",{"_index":285,"t":{},"b":{"1":{}}}],["min_child_weight",{"_index":1167,"t":{},"b":{"5":{}}}],["min_purity_increas",{"_index":2108,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_leaf",{"_index":2106,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_split",{"_index":2107,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["minimum",{"_index":1347,"t":{},"b":{"5":{},"11":{}}}],["minkowski",{"_index":1934,"t":{},"b":{"8":{}}}],["misclassif",{"_index":1612,"t":{},"b":{"6":{},"7":{},"15":{},"20":{},"24":{}}}],["misclassification_r",{"_index":2417,"t":{},"b":{"15":{}}}],["misclassification_rate(i",{"_index":1616,"t":{},"b":{"6":{},"20":{}}}],["misclassification_rate(mode.(i",{"_index":1644,"t":{},"b":{"6":{}}}],["misclassification_rate(predict_mode(knn",{"_index":1793,"t":{},"b":{"7":{}}}],["misclassification_rate(predict_mode(multi",{"_index":1795,"t":{},"b":{"7":{}}}],["misclassification_rate(ypr",{"_index":3328,"t":{},"b":{"23":{},"24":{}}}],["miss",{"_index":120,"t":{},"b":{"0":{},"1":{},"2":{},"6":{},"7":{},"9":{},"10":{},"11":{},"16":{},"19":{},"22":{}}}],["missclassif",{"_index":1643,"t":{},"b":{"6":{}}}],["missing_outcom",{"_index":1537,"t":{},"b":{"6":{}}}],["missingstr",{"_index":619,"t":{},"b":{"2":{},"6":{}}}],["mitchel",{"_index":829,"t":{},"b":{"4":{}}}],["mix",{"_index":858,"t":{},"b":{"4":{}}}],["ml",{"_index":2465,"t":{},"b":{"16":{}}}],["mlj",{"_index":3,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["mlj.fit(m::compositemodel2",{"_index":2374,"t":{},"b":{"14":{}}}],["mlj.fit(model::knnridgeblend",{"_index":998,"t":{},"b":{"4":{}}}],["mlj.jl",{"_index":2441,"t":{},"b":{"16":{}}}],["mlj.predict(clf",{"_index":2890,"t":{},"b":{"20":{}}}],["mlj.predict(dtc",{"_index":1652,"t":{},"b":{"6":{}}}],["mlj.predict(mtm",{"_index":1639,"t":{},"b":{"6":{}}}],["mlj.table(x",{"_index":3398,"t":{},"b":{"24":{}}}],["mljbase.numericrange{mljbase.bounded,int64,symbol}[numericrang",{"_index":2404,"t":{},"b":{"15":{}}}],["mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1091,"t":{},"b":{"4":{}}}],["mljlinearmodel",{"_index":1917,"t":{},"b":{"8":{},"19":{}}}],["mljmodel",{"_index":1902,"t":{},"b":{"8":{}}}],["mljmodelinterface.predict",{"_index":1090,"t":{},"b":{"4":{},"15":{},"21":{}}}],["mljmodels.jl",{"_index":1885,"t":{},"b":{"8":{}}}],["mljscientifictyp",{"_index":717,"t":{},"b":{"3":{}}}],["mljscientifictypes.jl",{"_index":710,"t":{},"b":{"3":{}}}],["mljtutori",{"_index":3418,"t":{"25":{}},"b":{}}],["mlm",{"_index":3029,"t":{},"b":{"21":{}}}],["mlogloss",{"_index":1201,"t":{},"b":{"5":{}}}],["mlogp",{"_index":633,"t":{},"b":{"2":{}}}],["mnc",{"_index":1801,"t":{},"b":{"7":{}}}],["mnpipe(std=standard",{"_index":1767,"t":{},"b":{"7":{}}}],["mode",{"_index":2217,"t":{},"b":{"12":{},"15":{},"20":{}}}],["mode(ŷ[1])ȳ[1",{"_index":2221,"t":{},"b":{"12":{}}}],["mode(ŷ[1",{"_index":2222,"t":{},"b":{"12":{}}}],["mode.(ŷ)2",{"_index":2936,"t":{},"b":{"20":{}}}],["model",{"_index":16,"t":{"8":{},"9":{},"10":{},"11":{},"15":{},"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["model.knn_model",{"_index":1004,"t":{},"b":{"4":{}}}],["model.knn_weight",{"_index":1007,"t":{},"b":{"4":{}}}],["model.ridge_model",{"_index":1002,"t":{},"b":{"4":{}}}],["modelbabi",{"_index":791,"t":{},"b":{"4":{}}}],["modeldata",{"_index":1864,"t":{},"b":{"8":{}}}],["modeliniti",{"_index":1429,"t":{},"b":{"6":{}}}],["modelknn",{"_index":784,"t":{},"b":{"4":{}}}],["modelmodel",{"_index":1862,"t":{},"b":{"8":{}}}],["modelnam",{"_index":2720,"t":{},"b":{"19":{}}}],["models(matching(x",{"_index":1888,"t":{},"b":{"8":{}}}],["modelsplit",{"_index":2178,"t":{},"b":{"12":{}}}],["modeltri",{"_index":1428,"t":{},"b":{"6":{}}}],["modeltun",{"_index":2384,"t":{},"b":{"15":{}}}],["modifi",{"_index":129,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["more",{"_index":504,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"8":{},"10":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["move",{"_index":2456,"t":{},"b":{"16":{}}}],["mpg",{"_index":2634,"t":{},"b":{"18":{},"21":{}}}],["mpl",{"_index":517,"t":{},"b":{"1":{}}}],["mssubclass",{"_index":820,"t":{},"b":{"4":{}}}],["mstd",{"_index":2986,"t":{},"b":{"20":{}}}],["mtm",{"_index":1101,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["mtm.model.model.reg",{"_index":3233,"t":{},"b":{"22":{}}}],["mtm.model.rang",{"_index":3234,"t":{},"b":{"22":{}}}],["mtm.model.tun",{"_index":3277,"t":{},"b":{"22":{}}}],["much",{"_index":1390,"t":{},"b":{"5":{},"6":{},"7":{},"15":{},"20":{}}}],["mucous_membran",{"_index":1449,"t":{},"b":{"6":{}}}],["multi",{"_index":1781,"t":{},"b":{"7":{}}}],["multiclass",{"_index":702,"t":{},"b":{"3":{},"6":{},"7":{}}}],["multiclass{15",{"_index":827,"t":{},"b":{"4":{}}}],["multiclass{2",{"_index":3301,"t":{},"b":{"23":{}}}],["multiclass{25",{"_index":826,"t":{},"b":{"4":{}}}],["multiclass{3",{"_index":1866,"t":{},"b":{"8":{},"23":{}}}],["multinomi",{"_index":1760,"t":{},"b":{"7":{},"16":{}}}],["multinomialclassifi",{"_index":1587,"t":{},"b":{"6":{},"7":{},"8":{}}}],["multipl",{"_index":741,"t":{},"b":{"3":{},"10":{},"11":{},"18":{}}}],["multivari",{"_index":2731,"t":{},"b":{"19":{},"20":{}}}],["multivariatestat",{"_index":1898,"t":{},"b":{"8":{}}}],["murder",{"_index":2490,"t":{},"b":{"17":{}}}],["mutabl",{"_index":990,"t":{},"b":{"4":{},"14":{}}}],["mutat",{"_index":275,"t":{},"b":{"1":{}}}],["mypipe(x",{"_index":1966,"t":{},"b":{"9":{}}}],["n",{"_index":1095,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["n(0",{"_index":2619,"t":{},"b":{"18":{}}}],["n=20",{"_index":2015,"t":{},"b":{"10":{}}}],["n_job",{"_index":1936,"t":{},"b":{"8":{}}}],["n_neighbor",{"_index":1931,"t":{},"b":{"8":{}}}],["n_subfeatur",{"_index":2109,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["naivebay",{"_index":1907,"t":{},"b":{"8":{}}}],["name",{"_index":176,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"12":{},"14":{},"18":{},"19":{},"22":{}}}],["namedtupl",{"_index":2933,"t":{},"b":{"20":{}}}],["names(auto)9",{"_index":2685,"t":{},"b":{"18":{}}}],["names(boston)14",{"_index":177,"t":{},"b":{"1":{}}}],["names(data)5",{"_index":2488,"t":{},"b":{"17":{}}}],["names(datac",{"_index":1549,"t":{},"b":{"6":{}}}],["names(hitt",{"_index":3148,"t":{},"b":{"22":{}}}],["names(smarket",{"_index":2815,"t":{},"b":{"20":{}}}],["names(smarket)size(smarket",{"_index":2813,"t":{},"b":{"20":{}}}],["names(w)6",{"_index":2545,"t":{},"b":{"17":{}}}],["nasogastric_reflux",{"_index":1455,"t":{},"b":{"6":{}}}],["nasogastric_reflux_ph",{"_index":1456,"t":{},"b":{"6":{}}}],["nasogastric_tub",{"_index":1454,"t":{},"b":{"6":{}}}],["natur",{"_index":1573,"t":{},"b":{"6":{}}}],["nb",{"_index":2126,"t":{},"b":{"11":{}}}],["ncol",{"_index":2689,"t":{},"b":{"18":{}}}],["ncol(auto",{"_index":2694,"t":{},"b":{"18":{}}}],["ncol(auto)size(auto",{"_index":2692,"t":{},"b":{"18":{}}}],["ncolumn",{"_index":2630,"t":{},"b":{"18":{}}}],["ndfit",{"_index":3208,"t":{},"b":{"22":{}}}],["ndsch",{"_index":631,"t":{},"b":{"2":{}}}],["ndssc",{"_index":632,"t":{},"b":{"2":{}}}],["nearest",{"_index":1927,"t":{},"b":{"8":{},"10":{},"20":{}}}],["nearestneighbor",{"_index":1910,"t":{},"b":{"8":{},"20":{}}}],["need",{"_index":93,"t":{},"b":{"0":{},"2":{},"3":{},"4":{},"6":{},"8":{},"11":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["neg",{"_index":2870,"t":{},"b":{"20":{}}}],["neighbor",{"_index":2079,"t":{},"b":{"10":{},"20":{}}}],["neighborhood",{"_index":814,"t":{},"b":{"4":{}}}],["neighbour",{"_index":1928,"t":{},"b":{"8":{},"10":{}}}],["nest",{"_index":1025,"t":{},"b":{"4":{},"10":{},"11":{},"15":{}}}],["net",{"_index":3142,"t":{},"b":{"22":{}}}],["network",{"_index":25,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["networksourc",{"_index":2249,"t":{},"b":{"13":{}}}],["never",{"_index":712,"t":{},"b":{"3":{}}}],["new",{"_index":2370,"t":{},"b":{"14":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["newleagu",{"_index":3167,"t":{},"b":{"22":{}}}],["newleague_a",{"_index":3265,"t":{},"b":{"22":{}}}],["newleague_n",{"_index":3266,"t":{},"b":{"22":{}}}],["nfold",{"_index":1085,"t":{},"b":{"4":{},"21":{}}}],["nice",{"_index":1542,"t":{},"b":{"6":{},"10":{}}}],["nl1",{"_index":2970,"t":{},"b":{"20":{}}}],["nl2",{"_index":2973,"t":{},"b":{"20":{}}}],["nl2)#no",{"_index":2977,"t":{},"b":{"20":{}}}],["nmiss",{"_index":374,"t":{},"b":{"1":{}}}],["nmissing)19×2",{"_index":409,"t":{},"b":{"1":{}}}],["no_miss",{"_index":3170,"t":{},"b":{"22":{}}}],["node",{"_index":944,"t":{},"b":{"4":{},"13":{},"14":{}}}],["nodesmodifi",{"_index":2250,"t":{},"b":{"13":{}}}],["nominalrang",{"_index":3111,"t":{},"b":{"21":{}}}],["non",{"_index":1963,"t":{},"b":{"9":{}}}],["nonflavanoid",{"_index":1683,"t":{},"b":{"7":{}}}],["normal",{"_index":896,"t":{},"b":{"4":{},"20":{}}}],["normalize_typ",{"_index":1189,"t":{},"b":{"5":{}}}],["not(:crim",{"_index":278,"t":{},"b":{"1":{}}}],["not(:direct",{"_index":2849,"t":{},"b":{"20":{}}}],["not(:hospital_numb",{"_index":1524,"t":{},"b":{"6":{}}}],["not(:medv",{"_index":2730,"t":{},"b":{"19":{}}}],["not(:nox",{"_index":270,"t":{},"b":{"1":{}}}],["not(:stat",{"_index":2506,"t":{},"b":{"17":{}}}],["not([:sal",{"_index":3324,"t":{},"b":{"23":{}}}],["not([:year",{"_index":2885,"t":{},"b":{"20":{}}}],["not(unw",{"_index":1485,"t":{},"b":{"6":{}}}],["note",{"_index":501,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["notebook",{"_index":44,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["noth",{"_index":1079,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{}}}],["now",{"_index":107,"t":{},"b":{"0":{},"1":{},"4":{},"5":{},"6":{},"7":{},"10":{},"11":{},"12":{},"13":{},"14":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["nox",{"_index":183,"t":{},"b":{"1":{},"3":{},"19":{}}}],["nrow",{"_index":2629,"t":{},"b":{"18":{}}}],["nrow(auto",{"_index":2691,"t":{},"b":{"18":{}}}],["nrows(datac",{"_index":1552,"t":{},"b":{"6":{}}}],["num_round",{"_index":1160,"t":{},"b":{"5":{}}}],["number",{"_index":173,"t":{},"b":{"1":{},"2":{},"5":{},"6":{},"8":{},"10":{},"11":{},"18":{},"19":{},"20":{},"25":{}}}],["numer",{"_index":798,"t":{},"b":{"4":{},"9":{},"17":{}}}],["numericrang",{"_index":1057,"t":{},"b":{"4":{}}}],["nuniqu",{"_index":373,"t":{},"b":{"1":{}}}],["o",{"_index":1151,"t":{},"b":{"5":{}}}],["object",{"_index":167,"t":{},"b":{"1":{},"2":{},"5":{},"12":{},"14":{},"20":{}}}],["observ",{"_index":892,"t":{},"b":{"4":{},"6":{},"8":{}}}],["obtain",{"_index":2195,"t":{},"b":{"12":{},"21":{},"22":{}}}],["occur",{"_index":2882,"t":{},"b":{"20":{}}}],["od280/od315",{"_index":1688,"t":{},"b":{"7":{}}}],["offer",{"_index":282,"t":{},"b":{"1":{},"2":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{}}}],["oj",{"_index":2527,"t":{},"b":{"17":{}}}],["ok",{"_index":1498,"t":{},"b":{"6":{},"19":{},"22":{}}}],["old",{"_index":2253,"t":{},"b":{"13":{}}}],["on",{"_index":242,"t":{},"b":{"1":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"22":{},"23":{}}}],["onc",{"_index":2395,"t":{},"b":{"15":{}}}],["one_drop",{"_index":1192,"t":{},"b":{"5":{}}}],["onehotencod",{"_index":981,"t":{},"b":{"4":{},"6":{},"9":{},"22":{},"23":{}}}],["ones(10",{"_index":3388,"t":{},"b":{"24":{}}}],["ones(10))20",{"_index":3389,"t":{},"b":{"24":{}}}],["onto",{"_index":1805,"t":{},"b":{"7":{}}}],["oper",{"_index":1089,"t":{},"b":{"4":{},"6":{},"13":{},"14":{},"15":{},"18":{},"19":{},"21":{}}}],["operation4",{"_index":2595,"t":{},"b":{"18":{}}}],["operation=predict_mod",{"_index":2411,"t":{},"b":{"15":{},"23":{}}}],["operations/transform",{"_index":2285,"t":{},"b":{"13":{}}}],["opt",{"_index":1786,"t":{},"b":{"7":{}}}],["optim",{"_index":1381,"t":{},"b":{"5":{},"15":{}}}],["option",{"_index":2227,"t":{},"b":{"12":{}}}],["orang",{"_index":2524,"t":{},"b":{"17":{}}}],["order",{"_index":87,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"8":{},"9":{},"14":{},"15":{},"16":{},"19":{},"20":{},"21":{}}}],["ordered=tru",{"_index":90,"t":{},"b":{"0":{}}}],["ordered_factor",{"_index":1633,"t":{},"b":{"6":{}}}],["orderedfactor",{"_index":703,"t":{},"b":{"3":{},"7":{},"8":{},"20":{}}}],["orderedfactor{10",{"_index":825,"t":{},"b":{"4":{}}}],["orderedfactor{2",{"_index":779,"t":{},"b":{"3":{},"6":{}}}],["orderedfactor{22",{"_index":1872,"t":{},"b":{"8":{}}}],["orderedfactor{24",{"_index":1510,"t":{},"b":{"6":{}}}],["orderedfactor{26",{"_index":777,"t":{},"b":{"3":{}}}],["orderedfactor{3",{"_index":1508,"t":{},"b":{"6":{}}}],["orderedfactor{4",{"_index":1506,"t":{},"b":{"6":{}}}],["orderedfactor{46",{"_index":781,"t":{},"b":{"3":{}}}],["orderedfactor{5",{"_index":1509,"t":{},"b":{"6":{}}}],["orderedfactor{6",{"_index":1507,"t":{},"b":{"6":{}}}],["orderedfactor{9",{"_index":780,"t":{},"b":{"3":{}}}],["origin",{"_index":484,"t":{},"b":{"1":{},"3":{},"15":{},"16":{},"18":{}}}],["otherwis",{"_index":1011,"t":{},"b":{"4":{},"7":{},"8":{},"12":{},"16":{},"20":{}}}],["ourselv",{"_index":627,"t":{},"b":{"2":{}}}],["out",{"_index":1610,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"14":{},"22":{}}}],["out_of_bag_measur",{"_index":2042,"t":{},"b":{"10":{},"11":{},"15":{}}}],["outcom",{"_index":873,"t":{},"b":{"4":{},"6":{}}}],["output",{"_index":893,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"20":{}}}],["outsid",{"_index":1921,"t":{},"b":{"8":{}}}],["over",{"_index":1038,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"10":{},"11":{},"21":{}}}],["overallqu",{"_index":812,"t":{},"b":{"4":{}}}],["overfit",{"_index":1152,"t":{},"b":{"5":{},"23":{}}}],["overview",{"_index":283,"t":{},"b":{"1":{}}}],["p",{"_index":1933,"t":{},"b":{"8":{},"11":{}}}],["packag",{"_index":557,"t":{},"b":{"2":{},"3":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["packed_cell_volum",{"_index":1459,"t":{},"b":{"6":{}}}],["page",{"_index":561,"t":{},"b":{"2":{},"16":{}}}],["pain",{"_index":1451,"t":{},"b":{"6":{}}}],["pair",{"_index":376,"t":{},"b":{"1":{},"3":{},"8":{},"10":{}}}],["pairwis",{"_index":2850,"t":{},"b":{"20":{}}}],["panda",{"_index":147,"t":{},"b":{"1":{}}}],["param",{"_index":1033,"t":{},"b":{"4":{},"15":{}}}],["paramet",{"_index":997,"t":{},"b":{"4":{},"5":{},"7":{},"9":{},"10":{},"12":{},"13":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["parameter_scal",{"_index":1230,"t":{},"b":{"5":{}}}],["parameter_valu",{"_index":1232,"t":{},"b":{"5":{}}}],["params(ensemble_model",{"_index":2039,"t":{},"b":{"10":{}}}],["params(forest",{"_index":2145,"t":{},"b":{"11":{},"15":{}}}],["params(krb",{"_index":1034,"t":{},"b":{"4":{}}}],["parent",{"_index":503,"t":{},"b":{"1":{}}}],["pars",{"_index":618,"t":{},"b":{"2":{}}}],["part",{"_index":567,"t":{},"b":{"2":{},"13":{},"20":{},"21":{}}}],["partial",{"_index":2473,"t":{},"b":{"16":{}}}],["particular",{"_index":582,"t":{},"b":{"2":{},"3":{}}}],["particularli",{"_index":157,"t":{},"b":{"1":{},"4":{}}}],["partit",{"_index":2194,"t":{},"b":{"12":{}}}],["partition(eachindex(i",{"_index":880,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"13":{},"14":{},"21":{},"22":{},"23":{}}}],["partition(eachindex(yc",{"_index":1773,"t":{},"b":{"7":{}}}],["pass",{"_index":358,"t":{},"b":{"1":{},"2":{},"6":{}}}],["path",{"_index":585,"t":{},"b":{"2":{},"19":{}}}],["pca",{"_index":1808,"t":{"17":{}},"b":{"7":{},"16":{},"17":{}}}],["pca'd",{"_index":2511,"t":{},"b":{"17":{}}}],["pca(maxoutdim=2",{"_index":1817,"t":{},"b":{"7":{}}}],["pca(pratio=1",{"_index":2509,"t":{},"b":{"17":{}}}],["pca(rows=train",{"_index":1818,"t":{},"b":{"7":{}}}],["pca_mdl",{"_index":2508,"t":{},"b":{"17":{}}}],["pcapipe(std=standard",{"_index":1812,"t":{},"b":{"7":{}}}],["pctdiscch",{"_index":2536,"t":{},"b":{"17":{}}}],["pctdiscmm",{"_index":2535,"t":{},"b":{"17":{}}}],["pdf.(edfit",{"_index":3187,"t":{},"b":{"22":{}}}],["pdf.(lfit",{"_index":3215,"t":{},"b":{"22":{}}}],["pdf.(ndfit",{"_index":3212,"t":{},"b":{"22":{}}}],["pdf_smooth",{"_index":2183,"t":{},"b":{"12":{},"15":{},"23":{}}}],["penalize_intercept",{"_index":1592,"t":{},"b":{"6":{},"7":{}}}],["penalti",{"_index":1589,"t":{},"b":{"6":{},"7":{},"22":{},"24":{}}}],["per",{"_index":386,"t":{},"b":{"1":{},"6":{}}}],["per_fold",{"_index":1980,"t":{},"b":{"9":{},"10":{},"11":{}}}],["per_observ",{"_index":1981,"t":{},"b":{"9":{},"10":{},"11":{}}}],["percent",{"_index":1624,"t":{},"b":{"6":{}}}],["percentil",{"_index":371,"t":{},"b":{"1":{}}}],["perf_k",{"_index":1851,"t":{},"b":{"7":{}}}],["perf_m",{"_index":1852,"t":{},"b":{"7":{}}}],["perfectli",{"_index":3330,"t":{},"b":{"23":{}}}],["perform",{"_index":913,"t":{},"b":{"4":{},"7":{},"11":{},"13":{},"21":{},"24":{}}}],["peripheral_puls",{"_index":1448,"t":{},"b":{"6":{}}}],["peristalsi",{"_index":1452,"t":{},"b":{"6":{}}}],["permut",{"_index":2599,"t":{},"b":{"18":{}}}],["permutedims(reshape([1",{"_index":2600,"t":{},"b":{"18":{}}}],["permutedims2×2",{"_index":2603,"t":{},"b":{"18":{}}}],["petalength",{"_index":512,"t":{},"b":{"1":{}}}],["petallength",{"_index":453,"t":{},"b":{"1":{},"8":{}}}],["petallength_mean",{"_index":509,"t":{},"b":{"1":{}}}],["petallength_std",{"_index":530,"t":{},"b":{"1":{}}}],["petalwidth",{"_index":454,"t":{},"b":{"1":{},"8":{}}}],["petalwidth_std",{"_index":531,"t":{},"b":{"1":{}}}],["pgfplot",{"_index":2707,"t":{},"b":{"18":{}}}],["pgfplotsx.jl",{"_index":2706,"t":{},"b":{"18":{}}}],["phenol",{"_index":1681,"t":{},"b":{"7":{}}}],["pipe",{"_index":1965,"t":{},"b":{"9":{},"22":{}}}],["pipe.hot.drop_last",{"_index":1973,"t":{},"b":{"9":{}}}],["pipe.knn.k",{"_index":1972,"t":{},"b":{"9":{}}}],["pipe.model.reg",{"_index":3220,"t":{},"b":{"22":{}}}],["pipelin",{"_index":1599,"t":{},"b":{"6":{},"7":{},"9":{},"13":{},"16":{},"17":{},"20":{},"21":{},"22":{},"23":{}}}],["pipelinebaselinebas",{"_index":3138,"t":{},"b":{"22":{}}}],["pipelineclusteringget",{"_index":2486,"t":{},"b":{"17":{}}}],["pipelineelast",{"_index":3141,"t":{},"b":{"22":{}}}],["pipelinegener",{"_index":1947,"t":{},"b":{"9":{}}}],["pipelineget",{"_index":3143,"t":{},"b":{"22":{}}}],["pipelinemor",{"_index":2484,"t":{},"b":{"17":{}}}],["pkg",{"_index":2450,"t":{},"b":{"16":{},"18":{},"19":{}}}],["pkg.activ",{"_index":2451,"t":{},"b":{"16":{}}}],["pkg.add(\"mljlinearmodel",{"_index":2724,"t":{},"b":{"19":{}}}],["pkg.add(\"statsbas",{"_index":2615,"t":{},"b":{"18":{}}}],["pkg.instanti",{"_index":2452,"t":{},"b":{"16":{}}}],["pkg=\"glm\"linearregressor",{"_index":1943,"t":{},"b":{"8":{}}}],["pkg=\"mljlinearmodel",{"_index":1764,"t":{},"b":{"7":{}}}],["pkg=\"mljlinearmodels\"multinomialclassifi",{"_index":1588,"t":{},"b":{"6":{}}}],["pkg=\"multivariatestat",{"_index":931,"t":{},"b":{"4":{}}}],["pkg=\"nearestneighbor",{"_index":1763,"t":{},"b":{"7":{}}}],["pkg=\"thepackag",{"_index":1941,"t":{},"b":{"8":{}}}],["pkg=cluster",{"_index":2562,"t":{},"b":{"17":{}}}],["pkg=decisiontre",{"_index":3290,"t":{},"b":{"23":{}}}],["pkg=libsvm",{"_index":3401,"t":{},"b":{"24":{}}}],["pkg=mljlinearmodel",{"_index":2884,"t":{},"b":{"20":{},"22":{}}}],["pkg=mljlinearmodelslinearregressor",{"_index":2722,"t":{},"b":{"19":{},"21":{}}}],["pkg=multivariatestat",{"_index":2254,"t":{},"b":{"13":{},"14":{},"17":{},"20":{}}}],["pkg=nearestneighbor",{"_index":2953,"t":{},"b":{"20":{}}}],["pkg=packagenam",{"_index":2721,"t":{},"b":{"19":{}}}],["pkg=scikitlearn",{"_index":3366,"t":{},"b":{"23":{}}}],["pkg=scikitlearnbayesianqda",{"_index":2946,"t":{},"b":{"20":{}}}],["place",{"_index":276,"t":{},"b":{"1":{}}}],["play",{"_index":2522,"t":{},"b":{"17":{}}}],["pleas",{"_index":2446,"t":{},"b":{"16":{}}}],["plot",{"_index":1366,"t":{},"b":{"5":{},"11":{},"15":{},"18":{}}}],["plot(1:length(c",{"_index":2559,"t":{},"b":{"17":{}}}],["plot(curve.parameter_valu",{"_index":1334,"t":{},"b":{"5":{}}}],["plot(curves.parameter_valu",{"_index":2136,"t":{},"b":{"11":{}}}],["plot(fpr",{"_index":3011,"t":{},"b":{"20":{}}}],["plot(i",{"_index":3175,"t":{},"b":{"22":{}}}],["plot(mpg",{"_index":2712,"t":{},"b":{"18":{}}}],["plot(res.parameter_valu",{"_index":2420,"t":{},"b":{"15":{}}}],["plot(w[m",{"_index":2580,"t":{},"b":{"17":{}}}],["plot(x.horsepow",{"_index":3023,"t":{},"b":{"21":{}}}],["plot(x.lstat",{"_index":2746,"t":{},"b":{"19":{}}}],["plot(x.volum",{"_index":2863,"t":{},"b":{"20":{}}}],["plot(x1[mask_1",{"_index":1828,"t":{},"b":{"7":{}}}],["plot(x1[mask_2",{"_index":1833,"t":{},"b":{"7":{}}}],["plot(x1[mask_3",{"_index":1836,"t":{},"b":{"7":{}}}],["plot(x[ym1",{"_index":3392,"t":{},"b":{"24":{}}}],["plot(x[ym2",{"_index":3394,"t":{},"b":{"24":{}}}],["plot(xnew.lstat",{"_index":2750,"t":{},"b":{"19":{}}}],["plot(xx",{"_index":3188,"t":{},"b":{"22":{}}}],["plot(xx.horsepow",{"_index":3039,"t":{},"b":{"21":{}}}],["plots.jl",{"_index":2697,"t":{},"b":{"18":{}}}],["plymouth",{"_index":2659,"t":{},"b":{"18":{}}}],["point",{"_index":686,"t":{},"b":{"3":{},"6":{},"7":{},"12":{},"13":{},"18":{},"19":{},"24":{}}}],["pointless",{"_index":1848,"t":{},"b":{"7":{}}}],["poli",{"_index":3055,"t":{},"b":{"21":{}}}],["polynomi",{"_index":3021,"t":{},"b":{"21":{}}}],["popul",{"_index":3297,"t":{},"b":{"23":{}}}],["posit",{"_index":2869,"t":{},"b":{"20":{}}}],["possibl",{"_index":696,"t":{},"b":{"3":{},"20":{}}}],["post",{"_index":1121,"t":{},"b":{"5":{}}}],["post_prun",{"_index":2110,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["power",{"_index":578,"t":{},"b":{"2":{},"21":{}}}],["pprint(atom",{"_index":2040,"t":{},"b":{"10":{},"11":{},"15":{}}}],["pprint(knn_model",{"_index":1035,"t":{},"b":{"4":{}}}],["pprint(measur",{"_index":1979,"t":{},"b":{"9":{},"10":{},"11":{}}}],["pprint(tre",{"_index":2204,"t":{},"b":{"12":{}}}],["pprint[\"b",{"_index":1150,"t":{},"b":{"5":{}}}],["pprint[distributions.normal{float64}(μ=179454.34347399411",{"_index":889,"t":{},"b":{"4":{}}}],["pprint[univariatefinite(down=>0.521",{"_index":2929,"t":{},"b":{"20":{}}}],["pprintdict(\"b",{"_index":1207,"t":{},"b":{"5":{}}}],["pprintsize(hitt",{"_index":3149,"t":{},"b":{"22":{}}}],["pr",{"_index":2444,"t":{},"b":{"16":{}}}],["pre",{"_index":765,"t":{},"b":{"3":{},"6":{}}}],["precis",{"_index":1712,"t":{},"b":{"7":{},"20":{}}}],["precision(i",{"_index":2912,"t":{},"b":{"20":{}}}],["pred",{"_index":1020,"t":{},"b":{"4":{}}}],["predict",{"_index":18,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["predict(1…76",{"_index":965,"t":{},"b":{"4":{}}}],["predict(5…33",{"_index":2315,"t":{},"b":{"13":{}}}],["predict(8…67",{"_index":2349,"t":{},"b":{"14":{}}}],["predict(cmach",{"_index":886,"t":{},"b":{"4":{}}}],["predict(dtr",{"_index":3355,"t":{},"b":{"23":{}}}],["predict(knn",{"_index":962,"t":{},"b":{"4":{},"10":{}}}],["predict(lr1",{"_index":3083,"t":{},"b":{"21":{}}}],["predict(lr2",{"_index":3085,"t":{},"b":{"21":{}}}],["predict(lr3",{"_index":3087,"t":{},"b":{"21":{}}}],["predict(m",{"_index":2173,"t":{},"b":{"11":{}}}],["predict(mach",{"_index":1021,"t":{},"b":{"4":{},"19":{}}}],["predict(mach_uni",{"_index":2751,"t":{},"b":{"19":{}}}],["predict(machine(m.ridge_model",{"_index":2377,"t":{},"b":{"14":{}}}],["predict(mlm",{"_index":3038,"t":{},"b":{"21":{}}}],["predict(mtm",{"_index":1112,"t":{},"b":{"4":{},"21":{},"22":{},"23":{},"24":{}}}],["predict(pip",{"_index":3200,"t":{},"b":{"22":{}}}],["predict(rf",{"_index":3371,"t":{},"b":{"23":{}}}],["predict(ridg",{"_index":961,"t":{},"b":{"4":{},"13":{},"14":{}}}],["predict(svc",{"_index":3405,"t":{},"b":{"24":{}}}],["predict(tre",{"_index":2212,"t":{},"b":{"12":{}}}],["predict(tuned_ensembl",{"_index":2080,"t":{},"b":{"10":{}}}],["predict(xgb",{"_index":3380,"t":{},"b":{"23":{}}}],["predict_mean",{"_index":902,"t":{},"b":{"4":{}}}],["predict_mean(cmach",{"_index":905,"t":{},"b":{"4":{}}}],["predict_mod",{"_index":2218,"t":{},"b":{"12":{},"20":{}}}],["predict_mode(clf",{"_index":2899,"t":{},"b":{"20":{}}}],["predict_mode(mach",{"_index":1614,"t":{},"b":{"6":{},"23":{}}}],["predict_mode(mtm",{"_index":1418,"t":{},"b":{"5":{},"23":{}}}],["predict_mode(tre",{"_index":2219,"t":{},"b":{"12":{}}}],["predictor",{"_index":1186,"t":{},"b":{"5":{}}}],["preds)0.117305990205669",{"_index":1113,"t":{},"b":{"4":{}}}],["preds)0.12278602255214813",{"_index":1022,"t":{},"b":{"4":{}}}],["preliminari",{"_index":1982,"t":{},"b":{"10":{},"12":{},"13":{},"14":{}}}],["prelimsrandom",{"_index":2082,"t":{},"b":{"11":{}}}],["prepar",{"_index":2270,"t":{},"b":{"13":{},"22":{}}}],["preparationridg",{"_index":3137,"t":{},"b":{"22":{}}}],["present",{"_index":769,"t":{},"b":{"3":{},"10":{},"16":{}}}],["pretti",{"_index":1210,"t":{},"b":{"5":{},"7":{},"8":{},"13":{},"20":{},"22":{},"23":{}}}],["prettyprint",{"_index":803,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"20":{},"22":{},"23":{},"24":{}}}],["prettysize(x",{"_index":810,"t":{},"b":{"4":{},"5":{}}}],["previou",{"_index":2086,"t":{},"b":{"11":{},"14":{}}}],["price",{"_index":795,"t":{},"b":{"4":{},"17":{},"23":{}}}],["pricech",{"_index":2528,"t":{},"b":{"17":{}}}],["pricediff",{"_index":2534,"t":{},"b":{"17":{}}}],["pricemm",{"_index":2529,"t":{},"b":{"17":{}}}],["primari",{"_index":2478,"t":{},"b":{"16":{}}}],["primer",{"_index":2591,"t":{},"b":{"18":{}}}],["println",{"_index":1703,"t":{},"b":{"7":{},"19":{}}}],["println(\"#$(vals[1",{"_index":2975,"t":{},"b":{"20":{}}}],["println(\"#$(vals[2",{"_index":2976,"t":{},"b":{"20":{}}}],["println(rpad",{"_index":1702,"t":{},"b":{"7":{},"19":{}}}],["println(rpad(\"$nam",{"_index":1502,"t":{},"b":{"6":{},"7":{},"19":{}}}],["println(rpad(\"intercept",{"_index":2763,"t":{},"b":{"19":{}}}],["println(rpad(\"knn",{"_index":1796,"t":{},"b":{"7":{}}}],["println(rpad(\"mnc",{"_index":1617,"t":{},"b":{"6":{},"7":{}}}],["println(rpad(m.nam",{"_index":1890,"t":{},"b":{"8":{}}}],["println(rpad(nam",{"_index":1553,"t":{},"b":{"6":{}}}],["prior",{"_index":2938,"t":{},"b":{"20":{}}}],["proanthcyanin",{"_index":1684,"t":{},"b":{"7":{}}}],["probabilist",{"_index":894,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"15":{},"20":{}}}],["probabilisticsgdclassifi",{"_index":1918,"t":{},"b":{"8":{}}}],["probabl",{"_index":1518,"t":{},"b":{"6":{},"7":{},"16":{}}}],["problem",{"_index":857,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"20":{}}}],["procedur",{"_index":1402,"t":{},"b":{"5":{}}}],["process",{"_index":542,"t":{"2":{}},"b":{"2":{},"6":{},"7":{},"10":{},"16":{}}}],["process_typ",{"_index":1180,"t":{},"b":{"5":{}}}],["processingget",{"_index":1423,"t":{},"b":{"6":{},"7":{}}}],["produc",{"_index":2475,"t":{},"b":{"16":{}}}],["product",{"_index":2790,"t":{},"b":{"19":{}}}],["program",{"_index":2453,"t":{},"b":{"16":{}}}],["project",{"_index":1804,"t":{},"b":{"7":{}}}],["project.toml",{"_index":2447,"t":{},"b":{"16":{}}}],["prolin",{"_index":1690,"t":{},"b":{"7":{}}}],["proline=>continu",{"_index":1716,"t":{},"b":{"7":{}}}],["proline]5",{"_index":1706,"t":{},"b":{"7":{}}}],["prone",{"_index":2991,"t":{},"b":{"20":{}}}],["properli",{"_index":118,"t":{},"b":{"0":{}}}],["proport",{"_index":2939,"t":{},"b":{"20":{}}}],["provid",{"_index":558,"t":{},"b":{"2":{},"3":{},"16":{},"19":{}}}],["ptratio",{"_index":189,"t":{},"b":{"1":{},"3":{},"19":{}}}],["puls",{"_index":1445,"t":{},"b":{"6":{}}}],["purchas",{"_index":2965,"t":{},"b":{"20":{}}}],["putout",{"_index":3164,"t":{},"b":{"22":{}}}],["pyplot",{"_index":1124,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["pyplot.jl",{"_index":2704,"t":{},"b":{"18":{}}}],["q25",{"_index":366,"t":{},"b":{"1":{}}}],["q75",{"_index":367,"t":{},"b":{"1":{}}}],["qda",{"_index":2470,"t":{"20":{}},"b":{"16":{},"20":{}}}],["qualiti",{"_index":911,"t":{},"b":{"4":{}}}],["quantiti",{"_index":1666,"t":{},"b":{"7":{}}}],["quartil",{"_index":2098,"t":{},"b":{"11":{}}}],["quick",{"_index":1718,"t":{},"b":{"7":{},"16":{}}}],["quit",{"_index":1529,"t":{},"b":{"6":{},"7":{},"20":{},"21":{},"22":{}}}],["r",{"_index":565,"t":{},"b":{"2":{},"5":{},"10":{},"11":{},"15":{},"16":{},"17":{},"21":{},"22":{}}}],["r.best_result(measur",{"_index":2416,"t":{},"b":{"15":{}}}],["r.measur",{"_index":2069,"t":{},"b":{"10":{}}}],["r.plot",{"_index":1369,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["r.tvar)4",{"_index":2516,"t":{},"b":{"17":{}}}],["r.tvar)6",{"_index":2551,"t":{},"b":{"17":{}}}],["r1",{"_index":1350,"t":{},"b":{"5":{},"15":{}}}],["r2",{"_index":1352,"t":{},"b":{"5":{},"15":{}}}],["r3",{"_index":2825,"t":{},"b":{"20":{}}}],["r3(pi)3.14",{"_index":2827,"t":{},"b":{"20":{}}}],["r30.059",{"_index":2998,"t":{},"b":{"20":{}}}],["r30.479",{"_index":2900,"t":{},"b":{"20":{}}}],["r30.484",{"_index":2924,"t":{},"b":{"20":{}}}],["r30.5",{"_index":2957,"t":{},"b":{"20":{}}}],["r30.532",{"_index":2959,"t":{},"b":{"20":{}}}],["r30.548",{"_index":2944,"t":{},"b":{"20":{}}}],["r30.56",{"_index":2926,"t":{},"b":{"20":{}}}],["r30.599",{"_index":2952,"t":{},"b":{"20":{}}}],["r30.691",{"_index":2898,"t":{},"b":{"20":{}}}],["r30.925",{"_index":2996,"t":{},"b":{"20":{}}}],["r30.934",{"_index":2999,"t":{},"b":{"20":{}}}],["r31.0",{"_index":2990,"t":{},"b":{"20":{}}}],["r3false_positive(cm",{"_index":2915,"t":{},"b":{"20":{}}}],["r_bf",{"_index":2149,"t":{},"b":{"11":{}}}],["r_depth",{"_index":3358,"t":{},"b":{"23":{}}}],["r_mpi",{"_index":3336,"t":{},"b":{"23":{}}}],["r_msl",{"_index":3339,"t":{},"b":{"23":{}}}],["r_sf",{"_index":2146,"t":{},"b":{"11":{}}}],["rad",{"_index":187,"t":{},"b":{"1":{},"3":{},"19":{}}}],["rand(300",{"_index":1990,"t":{},"b":{"10":{},"13":{},"14":{}}}],["randn(100",{"_index":2431,"t":{},"b":{"15":{}}}],["randn(1_000",{"_index":2616,"t":{},"b":{"18":{}}}],["randn(20",{"_index":3387,"t":{},"b":{"24":{}}}],["random",{"_index":1123,"t":{},"b":{"5":{},"10":{},"11":{},"13":{},"14":{},"17":{},"23":{}}}],["random._global_rng",{"_index":1083,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["random.seed!(1515",{"_index":2537,"t":{},"b":{"17":{}}}],["random.seed!(3203",{"_index":3386,"t":{},"b":{"24":{}}}],["random.seed!(5",{"_index":2130,"t":{},"b":{"11":{},"13":{},"14":{}}}],["randomfals",{"_index":3384,"t":{},"b":{"24":{}}}],["randomforest",{"_index":3364,"t":{},"b":{"23":{}}}],["randomforestclassifi",{"_index":1919,"t":{},"b":{"8":{}}}],["randomforestregressor",{"_index":3365,"t":{},"b":{"23":{}}}],["rang",{"_index":254,"t":{},"b":{"1":{},"4":{},"10":{},"11":{},"15":{},"18":{},"21":{},"22":{}}}],["range(dtc",{"_index":2389,"t":{},"b":{"15":{}}}],["range(dtr_model",{"_index":3359,"t":{},"b":{"23":{}}}],["range(ensemble_model",{"_index":2045,"t":{},"b":{"10":{}}}],["range(forest",{"_index":2132,"t":{},"b":{"11":{},"15":{}}}],["range(krb",{"_index":1042,"t":{},"b":{"4":{}}}],["range(lrm",{"_index":3101,"t":{},"b":{"21":{}}}],["range(mdl",{"_index":3337,"t":{},"b":{"23":{}}}],["range(minimum(i",{"_index":3185,"t":{},"b":{"22":{}}}],["range(model",{"_index":1626,"t":{},"b":{"6":{},"22":{}}}],["range(svc_mdl",{"_index":3411,"t":{},"b":{"24":{}}}],["range(xgb",{"_index":1222,"t":{},"b":{"5":{}}}],["range=r",{"_index":1227,"t":{},"b":{"5":{},"11":{}}}],["ranges=[b_rang",{"_index":2058,"t":{},"b":{"10":{}}}],["ranges=[r",{"_index":2397,"t":{},"b":{"15":{}}}],["ranges=[r1",{"_index":2437,"t":{},"b":{"15":{}}}],["ranges=[r1,r2",{"_index":1358,"t":{},"b":{"5":{}}}],["ranges=[r_depth",{"_index":3361,"t":{},"b":{"23":{}}}],["ranges=[r_mpi",{"_index":3343,"t":{},"b":{"23":{}}}],["ranges=[r_sf",{"_index":2160,"t":{},"b":{"11":{}}}],["ranges=[rc",{"_index":3414,"t":{},"b":{"24":{}}}],["ranges=lambda",{"_index":1629,"t":{},"b":{"6":{}}}],["ranges=r",{"_index":2412,"t":{},"b":{"15":{},"21":{},"22":{}}}],["ranges=rang",{"_index":1073,"t":{},"b":{"4":{}}}],["rape",{"_index":2493,"t":{},"b":{"17":{}}}],["rate",{"_index":1520,"t":{},"b":{"6":{},"7":{},"15":{},"20":{}}}],["rate_drop",{"_index":1191,"t":{},"b":{"5":{}}}],["ratio_miss",{"_index":1550,"t":{},"b":{"6":{}}}],["raw",{"_index":45,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rbi",{"_index":3154,"t":{},"b":{"22":{}}}],["rc",{"_index":3410,"t":{},"b":{"24":{}}}],["rdataset",{"_index":165,"t":{},"b":{"1":{},"2":{},"3":{},"8":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rdatasets.jl",{"_index":553,"t":{},"b":{"2":{}}}],["rdatasetsus",{"_index":543,"t":{},"b":{"2":{}}}],["re",{"_index":114,"t":{},"b":{"0":{},"3":{},"5":{},"6":{},"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"19":{},"20":{},"21":{},"22":{}}}],["reach",{"_index":1646,"t":{},"b":{"6":{}}}],["read",{"_index":579,"t":{},"b":{"2":{},"6":{}}}],["real",{"_index":292,"t":{},"b":{"1":{},"15":{}}}],["realli",{"_index":1010,"t":{},"b":{"4":{},"23":{}}}],["reason",{"_index":1431,"t":{},"b":{"6":{},"22":{}}}],["recal",{"_index":2917,"t":{},"b":{"20":{}}}],["recall(i",{"_index":2913,"t":{},"b":{"20":{}}}],["recod",{"_index":3351,"t":{},"b":{"23":{}}}],["recommend",{"_index":2460,"t":{},"b":{"16":{},"20":{}}}],["recov",{"_index":900,"t":{},"b":{"4":{},"15":{},"17":{},"20":{}}}],["rectal_temperatur",{"_index":1444,"t":{},"b":{"6":{}}}],["red",{"_index":2577,"t":{},"b":{"17":{}}}],["reduc",{"_index":793,"t":{},"b":{"4":{}}}],["refer",{"_index":679,"t":{},"b":{"3":{},"13":{},"16":{}}}],["reflect",{"_index":1040,"t":{},"b":{"4":{}}}],["refresh_leaf",{"_index":1179,"t":{},"b":{"5":{}}}],["reg",{"_index":3196,"t":{},"b":{"22":{}}}],["reg.gamma",{"_index":3275,"t":{},"b":{"22":{}}}],["reg.lambda",{"_index":3223,"t":{},"b":{"22":{}}}],["reg_param",{"_index":2947,"t":{},"b":{"20":{}}}],["region",{"_index":1662,"t":{},"b":{"7":{}}}],["regpip",{"_index":3197,"t":{},"b":{"22":{}}}],["regpipe(std",{"_index":3195,"t":{},"b":{"22":{}}}],["regress",{"_index":856,"t":{"19":{},"20":{},"22":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["regressioninteract",{"_index":2713,"t":{},"b":{"19":{}}}],["regressionk",{"_index":3016,"t":{},"b":{"21":{}}}],["regressionldaqdaknncaravan",{"_index":2806,"t":{},"b":{"20":{}}}],["regressor",{"_index":921,"t":{},"b":{"4":{},"9":{},"11":{},"13":{},"15":{},"21":{},"22":{},"23":{}}}],["regressorrandom",{"_index":3287,"t":{},"b":{"23":{}}}],["regularis",{"_index":1636,"t":{},"b":{"6":{},"13":{},"20":{}}}],["reinterpret",{"_index":751,"t":{},"b":{"3":{}}}],["rel",{"_index":1495,"t":{},"b":{"6":{}}}],["relat",{"_index":708,"t":{},"b":{"3":{},"16":{}}}],["relev",{"_index":1988,"t":{},"b":{"10":{},"13":{},"16":{},"18":{},"19":{}}}],["remain",{"_index":1061,"t":{},"b":{"4":{},"7":{}}}],["rememb",{"_index":403,"t":{},"b":{"1":{},"4":{},"12":{},"13":{}}}],["remov",{"_index":1543,"t":{},"b":{"6":{},"16":{}}}],["rename!(x2",{"_index":2791,"t":{},"b":{"19":{}}}],["reorder",{"_index":939,"t":{},"b":{"4":{},"10":{}}}],["rep",{"_index":3117,"t":{},"b":{"21":{}}}],["rep.plot",{"_index":3118,"t":{},"b":{"21":{}}}],["repeat",{"_index":1094,"t":{},"b":{"4":{},"15":{},"21":{}}}],["report",{"_index":1365,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{}}}],["report(m",{"_index":2165,"t":{},"b":{"11":{},"15":{}}}],["report(mtm",{"_index":1368,"t":{},"b":{"5":{},"21":{}}}],["report(pca",{"_index":2514,"t":{},"b":{"17":{}}}],["report(spca).reports[1",{"_index":2549,"t":{},"b":{"17":{}}}],["report(spca2).reports[1].assign",{"_index":2571,"t":{},"b":{"17":{}}}],["report(tuned_ensembl",{"_index":2068,"t":{},"b":{"10":{}}}],["repres",{"_index":76,"t":{},"b":{"0":{},"6":{}}}],["reproduc",{"_index":2061,"t":{},"b":{"10":{},"11":{},"13":{},"14":{},"16":{},"20":{},"21":{}}}],["req",{"_index":1670,"t":{},"b":{"7":{}}}],["req1",{"_index":1435,"t":{},"b":{"6":{}}}],["req2",{"_index":1440,"t":{},"b":{"6":{}}}],["requir",{"_index":387,"t":{},"b":{"1":{}}}],["res.measur",{"_index":1375,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["res.parameter_valu",{"_index":2071,"t":{},"b":{"10":{},"11":{},"15":{}}}],["res.parameter_values[:,1",{"_index":1371,"t":{},"b":{"5":{}}}],["res.parameter_values[:,2",{"_index":1373,"t":{},"b":{"5":{}}}],["resampl",{"_index":1067,"t":{},"b":{"4":{},"15":{},"21":{}}}],["resampling=cv",{"_index":1387,"t":{},"b":{"5":{},"10":{}}}],["resampling=cv(nfolds=10",{"_index":3105,"t":{},"b":{"21":{}}}],["resampling=cv(nfolds=3",{"_index":1226,"t":{},"b":{"5":{},"22":{},"24":{}}}],["resampling=cv(nfolds=5",{"_index":3344,"t":{},"b":{"23":{}}}],["resampling=cv(nfolds=6",{"_index":2158,"t":{},"b":{"11":{},"15":{}}}],["resampling=cv(rng=11",{"_index":1357,"t":{},"b":{"5":{}}}],["resampling=cv(rng=234",{"_index":1400,"t":{},"b":{"5":{}}}],["resampling=holdout",{"_index":1977,"t":{},"b":{"9":{}}}],["resampling=holdout(fraction_train=0.7",{"_index":2006,"t":{},"b":{"10":{}}}],["resampling=holdout(fraction_train=0.8",{"_index":2056,"t":{},"b":{"10":{},"11":{},"14":{}}}],["resampling=holdout(fraction_train=0.9",{"_index":1606,"t":{},"b":{"6":{},"7":{}}}],["resampling=resampl",{"_index":1072,"t":{},"b":{"4":{}}}],["reshape([1",{"_index":2598,"t":{},"b":{"18":{}}}],["reshape([1,2,3,4",{"_index":2602,"t":{},"b":{"18":{}}}],["residu",{"_index":2778,"t":{},"b":{"19":{},"22":{}}}],["resolut",{"_index":1080,"t":{},"b":{"4":{},"11":{},"15":{},"21":{}}}],["resolution=30",{"_index":1388,"t":{},"b":{"5":{}}}],["resolution=50",{"_index":1228,"t":{},"b":{"5":{}}}],["respect",{"_index":368,"t":{},"b":{"1":{},"4":{},"8":{},"21":{}}}],["respiratori",{"_index":1519,"t":{},"b":{"6":{}}}],["respiratory_r",{"_index":1446,"t":{},"b":{"6":{}}}],["rest",{"_index":1516,"t":{},"b":{"6":{},"15":{},"20":{}}}],["result",{"_index":516,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"12":{},"13":{},"18":{},"19":{},"21":{},"25":{}}}],["resultspreliminari",{"_index":1987,"t":{},"b":{"10":{}}}],["retrain",{"_index":2320,"t":{},"b":{"13":{},"20":{}}}],["retriev",{"_index":79,"t":{},"b":{"0":{},"4":{},"5":{},"18":{},"19":{},"20":{}}}],["return",{"_index":85,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"14":{}}}],["rf",{"_index":3368,"t":{},"b":{"23":{}}}],["rf_mdl",{"_index":3367,"t":{},"b":{"23":{}}}],["ridg",{"_index":785,"t":{"22":{}},"b":{"4":{},"13":{},"14":{},"16":{},"22":{}}}],["ridge=ridge_model",{"_index":2358,"t":{},"b":{"14":{}}}],["ridge_model",{"_index":1001,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ridge_model.lambda",{"_index":1048,"t":{},"b":{"4":{},"13":{}}}],["ridge_model::ridgeregressor",{"_index":995,"t":{},"b":{"4":{},"14":{}}}],["ridgeclassifi",{"_index":2361,"t":{},"b":{"14":{}}}],["ridgecross",{"_index":3139,"t":{},"b":{"22":{}}}],["ridgeregressor",{"_index":930,"t":{},"b":{"4":{},"13":{},"14":{},"22":{}}}],["ridgeregressor(lambda=0.1",{"_index":2310,"t":{},"b":{"13":{},"14":{}}}],["ridgeregressor(lambda=2.5",{"_index":983,"t":{},"b":{"4":{}}}],["right",{"_index":48,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rm",{"_index":184,"t":{},"b":{"1":{},"3":{},"9":{},"10":{},"11":{},"13":{},"15":{},"19":{},"21":{}}}],["rms(i",{"_index":2003,"t":{},"b":{"10":{},"11":{}}}],["rms(predict(lr",{"_index":3068,"t":{},"b":{"21":{}}}],["rms(predict(mlm",{"_index":3032,"t":{},"b":{"21":{}}}],["rms(y[test",{"_index":2318,"t":{},"b":{"13":{}}}],["rmsl",{"_index":1088,"t":{},"b":{"4":{}}}],["rmsl(i",{"_index":914,"t":{},"b":{"4":{}}}],["rmsl(y[test",{"_index":978,"t":{},"b":{"4":{}}}],["rmslp1",{"_index":2119,"t":{},"b":{"11":{}}}],["rng",{"_index":1082,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["rng=111",{"_index":1775,"t":{},"b":{"7":{}}}],["rng=112",{"_index":3345,"t":{},"b":{"23":{}}}],["rng=1254",{"_index":3362,"t":{},"b":{"23":{}}}],["rng=32",{"_index":2159,"t":{},"b":{"11":{}}}],["rng=33",{"_index":3415,"t":{},"b":{"24":{}}}],["rng=333",{"_index":3334,"t":{},"b":{"23":{}}}],["rng=4141",{"_index":3227,"t":{},"b":{"22":{}}}],["rng=42",{"_index":2057,"t":{},"b":{"10":{}}}],["rng=424",{"_index":3174,"t":{},"b":{"22":{}}}],["rng=444",{"_index":3020,"t":{},"b":{"21":{}}}],["rng=52",{"_index":1156,"t":{},"b":{"5":{}}}],["rng=551",{"_index":3350,"t":{},"b":{"23":{}}}],["roc",{"_index":3000,"t":{},"b":{"20":{}}}],["roc(i",{"_index":3010,"t":{},"b":{"20":{}}}],["root",{"_index":2774,"t":{},"b":{"19":{},"21":{}}}],["rotation=45",{"_index":3271,"t":{},"b":{"22":{}}}],["rough",{"_index":1531,"t":{},"b":{"6":{},"11":{},"18":{}}}],["round",{"_index":1219,"t":{},"b":{"5":{},"11":{}}}],["round(accuracy(i",{"_index":1419,"t":{},"b":{"5":{}}}],["round(best_mdl.reg.gamma",{"_index":3280,"t":{},"b":{"22":{}}}],["round(best_mdl.reg.lambda",{"_index":3229,"t":{},"b":{"22":{}}}],["round(fp.coefs[i",{"_index":2762,"t":{},"b":{"19":{}}}],["round(fp.intercept",{"_index":2742,"t":{},"b":{"19":{}}}],["round(maximum(curve.measur",{"_index":1393,"t":{},"b":{"5":{}}}],["round(mc",{"_index":2225,"t":{},"b":{"12":{}}}],["round(mcr",{"_index":1618,"t":{},"b":{"6":{}}}],["round(mcr_k",{"_index":1797,"t":{},"b":{"7":{}}}],["round(mcr_m",{"_index":1798,"t":{},"b":{"7":{}}}],["round(minimum(curve.measur",{"_index":1391,"t":{},"b":{"5":{}}}],["round(perf_k",{"_index":1853,"t":{},"b":{"7":{}}}],["round(perf_m",{"_index":1854,"t":{},"b":{"7":{}}}],["round(ratio_miss",{"_index":1554,"t":{},"b":{"6":{}}}],["round(res.measurement[1",{"_index":1607,"t":{},"b":{"6":{},"7":{},"14":{}}}],["round(rms(i",{"_index":2776,"t":{},"b":{"19":{},"22":{}}}],["round(rms(ypr",{"_index":3356,"t":{},"b":{"23":{}}}],["round(x",{"_index":2826,"t":{},"b":{"20":{}}}],["round.(cm",{"_index":2853,"t":{},"b":{"20":{}}}],["round.(coef",{"_index":3241,"t":{},"b":{"22":{}}}],["round.(fp.coef",{"_index":2741,"t":{},"b":{"19":{}}}],["round.(fp.coefs[1:3",{"_index":2754,"t":{},"b":{"19":{}}}],["round.(res.measurements.^2",{"_index":3119,"t":{},"b":{"21":{}}}],["round.(w",{"_index":2236,"t":{},"b":{"12":{}}}],["row",{"_index":196,"t":{},"b":{"1":{},"2":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["rows/column",{"_index":255,"t":{},"b":{"1":{}}}],["rows=test",{"_index":887,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train",{"_index":885,"t":{},"b":{"4":{},"10":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train)machine{decisiontreeclassifi",{"_index":2201,"t":{},"b":{"12":{}}}],["rows=train)machine{linmod",{"_index":3065,"t":{},"b":{"21":{}}}],["rows=train)machine{probabilistictunedmodel",{"_index":1360,"t":{},"b":{"5":{}}}],["rule",{"_index":761,"t":{},"b":{"3":{},"6":{}}}],["rules=(:discrete_to_continu",{"_index":1527,"t":{},"b":{"6":{},"22":{},"23":{}}}],["run",{"_index":470,"t":{},"b":{"1":{},"22":{}}}],["rw",{"_index":1131,"t":{},"b":{"5":{}}}],["s1",{"_index":753,"t":{},"b":{"3":{}}}],["s2",{"_index":754,"t":{},"b":{"3":{}}}],["sake",{"_index":1611,"t":{},"b":{"6":{}}}],["salari",{"_index":3166,"t":{},"b":{"22":{}}}],["sale",{"_index":3293,"t":{},"b":{"23":{}}}],["salepricech",{"_index":2533,"t":{},"b":{"17":{}}}],["salepricemm",{"_index":2532,"t":{},"b":{"17":{}}}],["same",{"_index":898,"t":{},"b":{"4":{},"5":{},"7":{},"8":{},"10":{},"15":{},"18":{},"20":{},"22":{},"23":{}}}],["sampl",{"_index":1408,"t":{},"b":{"5":{},"11":{},"15":{}}}],["sample_typ",{"_index":1188,"t":{},"b":{"5":{}}}],["satellit",{"_index":2660,"t":{},"b":{"18":{}}}],["save",{"_index":51,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["scale",{"_index":2049,"t":{},"b":{"10":{},"15":{}}}],["scale=:log10",{"_index":1046,"t":{},"b":{"4":{},"6":{},"22":{}}}],["scale_pos_weight",{"_index":1177,"t":{},"b":{"5":{}}}],["sch",{"_index":718,"t":{},"b":{"3":{},"6":{},"7":{},"11":{}}}],["sch.nrow",{"_index":2091,"t":{},"b":{"11":{}}}],["sch.scityp",{"_index":1501,"t":{},"b":{"6":{},"7":{}}}],["schema",{"_index":716,"t":{},"b":{"3":{}}}],["schema(boston)_.t",{"_index":719,"t":{},"b":{"3":{}}}],["schema(boston3)_.t",{"_index":775,"t":{},"b":{"3":{}}}],["schema(data)_.t",{"_index":755,"t":{},"b":{"3":{}}}],["schema(data2)_.t",{"_index":758,"t":{},"b":{"3":{}}}],["schema(datac",{"_index":1499,"t":{},"b":{"6":{}}}],["schema(w).names(:x1",{"_index":2512,"t":{},"b":{"17":{}}}],["schema(x",{"_index":1701,"t":{},"b":{"7":{},"11":{}}}],["scienc",{"_index":2477,"t":{},"b":{"16":{}}}],["scientif",{"_index":11,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["scientifictyp",{"_index":1493,"t":{},"b":{"6":{}}}],["scientifictypes.jl",{"_index":697,"t":{},"b":{"3":{},"6":{}}}],["scikitlearn",{"_index":1893,"t":{},"b":{"8":{},"19":{},"20":{}}}],["scikitlearn.jl",{"_index":1940,"t":{},"b":{"8":{}}}],["scityp",{"_index":681,"t":{},"b":{"3":{},"6":{},"7":{}}}],["scitype(",{"_index":733,"t":{},"b":{"3":{}}}],["scitype(x)table{union{abstractarray{continuous,1",{"_index":1699,"t":{},"b":{"7":{},"23":{}}}],["scitype(x.age)abstractarray{count,1",{"_index":1959,"t":{},"b":{"9":{}}}],["scitype(xc)table{union{abstractarray{continuous,1",{"_index":3192,"t":{},"b":{"22":{}}}],["scitype(y)abstractarray{count,1",{"_index":1695,"t":{},"b":{"7":{}}}],["scitype(y)y[1:3",{"_index":851,"t":{},"b":{"4":{}}}],["scitypechang",{"_index":665,"t":{},"b":{"3":{}}}],["scitypestr",{"_index":666,"t":{},"b":{"3":{}}}],["score",{"_index":1847,"t":{},"b":{"7":{},"12":{},"20":{}}}],["scratch",{"_index":2367,"t":{},"b":{"14":{}}}],["scratchpreliminari",{"_index":2337,"t":{},"b":{"14":{}}}],["script",{"_index":46,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["search",{"_index":1881,"t":{"25":{}},"b":{"8":{},"11":{},"15":{},"25":{}}}],["searchload",{"_index":1863,"t":{},"b":{"8":{}}}],["second",{"_index":958,"t":{},"b":{"4":{},"8":{},"12":{},"13":{},"14":{},"17":{},"20":{},"21":{}}}],["section",{"_index":2728,"t":{},"b":{"19":{}}}],["see",{"_index":96,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["seed",{"_index":1202,"t":{},"b":{"5":{},"10":{},"21":{}}}],["seem",{"_index":1757,"t":{},"b":{"7":{},"11":{},"16":{},"17":{},"20":{},"22":{}}}],["seen",{"_index":2278,"t":{},"b":{"13":{}}}],["select",{"_index":260,"t":{},"b":{"1":{},"10":{},"21":{},"22":{}}}],["select!(b1",{"_index":277,"t":{},"b":{"1":{}}}],["select!(data",{"_index":1484,"t":{},"b":{"6":{}}}],["select!(datac",{"_index":1523,"t":{},"b":{"6":{}}}],["select(boston",{"_index":265,"t":{},"b":{"1":{},"3":{}}}],["select(carseat",{"_index":3323,"t":{},"b":{"23":{}}}],["select(data",{"_index":2505,"t":{},"b":{"17":{},"19":{}}}],["select(smarket",{"_index":2848,"t":{},"b":{"20":{}}}],["select(x",{"_index":2735,"t":{},"b":{"19":{},"20":{},"21":{}}}],["select(x2",{"_index":2925,"t":{},"b":{"20":{}}}],["selectrows(xc",{"_index":1776,"t":{},"b":{"7":{}}}],["selectrows(yc",{"_index":1778,"t":{},"b":{"7":{}}}],["self",{"_index":364,"t":{},"b":{"1":{}}}],["sens",{"_index":989,"t":{},"b":{"4":{},"5":{}}}],["sensibl",{"_index":1584,"t":{},"b":{"6":{},"7":{}}}],["sepallength",{"_index":451,"t":{},"b":{"1":{},"8":{}}}],["sepallength_std",{"_index":528,"t":{},"b":{"1":{}}}],["sepalwidth",{"_index":452,"t":{},"b":{"1":{},"8":{}}}],["sepalwidth_std",{"_index":529,"t":{},"b":{"1":{}}}],["separ",{"_index":623,"t":{},"b":{"2":{},"6":{},"7":{}}}],["sequenc",{"_index":2355,"t":{},"b":{"14":{},"16":{}}}],["seri",{"_index":3094,"t":{},"b":{"21":{}}}],["serv",{"_index":2186,"t":{},"b":{"12":{},"19":{}}}],["set",{"_index":575,"t":{},"b":{"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"17":{},"19":{},"21":{}}}],["setdiff!(test",{"_index":1547,"t":{},"b":{"6":{}}}],["setdiff!(train",{"_index":1545,"t":{},"b":{"6":{}}}],["setosa",{"_index":460,"t":{},"b":{"1":{},"8":{},"12":{}}}],["sever",{"_index":478,"t":{},"b":{"1":{},"8":{},"11":{},"19":{}}}],["shelveloc",{"_index":3298,"t":{},"b":{"23":{}}}],["short",{"_index":548,"t":{},"b":{"2":{},"5":{},"11":{},"16":{}}}],["shorten",{"_index":1759,"t":{},"b":{"7":{}}}],["shorter",{"_index":445,"t":{},"b":{"1":{},"13":{}}}],["shorthand",{"_index":1877,"t":{},"b":{"8":{}}}],["shot",{"_index":742,"t":{},"b":{"3":{}}}],["show",{"_index":807,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"11":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["showcas",{"_index":1575,"t":{},"b":{"6":{}}}],["shuffl",{"_index":1081,"t":{},"b":{"4":{},"15":{},"21":{}}}],["shuffle=tru",{"_index":882,"t":{},"b":{"4":{},"5":{},"7":{},"12":{},"21":{},"22":{},"23":{}}}],["sigdigit",{"_index":1395,"t":{},"b":{"5":{},"19":{},"22":{}}}],["sigdigits=1)8×8",{"_index":2854,"t":{},"b":{"20":{}}}],["sigdigits=2)22",{"_index":3242,"t":{},"b":{"22":{}}}],["sigdigits=3",{"_index":1392,"t":{},"b":{"5":{},"6":{},"7":{},"19":{},"20":{}}}],["sigdigits=3))knn",{"_index":1799,"t":{},"b":{"7":{}}}],["sigdigits=3))mnc",{"_index":1619,"t":{},"b":{"6":{}}}],["sigdigits=3)0.0141",{"_index":1790,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0159",{"_index":1788,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0179",{"_index":2366,"t":{},"b":{"14":{}}}],["sigdigits=3)0.704",{"_index":1608,"t":{},"b":{"6":{}}}],["sigdigits=3)0.9",{"_index":1421,"t":{},"b":{"5":{}}}],["sigdigits=3)3.78",{"_index":3372,"t":{},"b":{"23":{}}}],["sigdigits=3)3.96",{"_index":3381,"t":{},"b":{"23":{}}}],["sigdigits=3)4.98",{"_index":3357,"t":{},"b":{"23":{}}}],["sigdigits=3)5.09",{"_index":3363,"t":{},"b":{"23":{}}}],["sigdigits=3)round(minimum(curve.measur",{"_index":1394,"t":{},"b":{"5":{}}}],["sigdigits=3)round.(fp.coef",{"_index":2743,"t":{},"b":{"19":{}}}],["sigdigits=3)round.(fp.coefs[1:3",{"_index":2755,"t":{},"b":{"19":{}}}],["sigdigits=4",{"_index":3279,"t":{},"b":{"22":{}}}],["sigdigits=4)10.0",{"_index":3230,"t":{},"b":{"22":{}}}],["sigdigits=4)102500.0",{"_index":3283,"t":{},"b":{"22":{}}}],["sigdigits=4)109600.0",{"_index":3221,"t":{},"b":{"22":{}}}],["sigdigits=4)123500.0",{"_index":3201,"t":{},"b":{"22":{}}}],["sigdigits=4)4.676",{"_index":2793,"t":{},"b":{"19":{}}}],["sigdigits=4)4.679",{"_index":2777,"t":{},"b":{"19":{}}}],["sigdigits=4)5.507",{"_index":2799,"t":{},"b":{"19":{}}}],["sigdigits=4)858.6",{"_index":3236,"t":{},"b":{"22":{}}}],["sigdigits=4)93850.0",{"_index":3231,"t":{},"b":{"22":{}}}],["sigdigits=4)95450.0",{"_index":3237,"t":{},"b":{"22":{}}}],["sigdigits=4)round(best_mdl.reg.lambda",{"_index":3281,"t":{},"b":{"22":{}}}],["signific",{"_index":2823,"t":{},"b":{"20":{}}}],["significantli",{"_index":1656,"t":{},"b":{"6":{}}}],["similar",{"_index":2752,"t":{},"b":{"19":{},"20":{}}}],["similarli",{"_index":258,"t":{},"b":{"1":{}}}],["simpl",{"_index":164,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["simplepip",{"_index":1625,"t":{},"b":{"6":{}}}],["simplepipe(hot",{"_index":1601,"t":{},"b":{"6":{}}}],["simpler",{"_index":2340,"t":{},"b":{"14":{}}}],["simpli",{"_index":2287,"t":{},"b":{"13":{}}}],["simplifi",{"_index":1479,"t":{},"b":{"6":{}}}],["simultan",{"_index":2035,"t":{},"b":{"10":{},"11":{}}}],["singl",{"_index":2113,"t":{},"b":{"11":{},"15":{},"19":{}}}],["six",{"_index":797,"t":{},"b":{"4":{}}}],["size",{"_index":2628,"t":{},"b":{"18":{}}}],["size(auto",{"_index":2690,"t":{},"b":{"18":{}}}],["size(caravan)(5822",{"_index":2963,"t":{},"b":{"20":{}}}],["size(data_test",{"_index":1478,"t":{},"b":{"6":{}}}],["size(data_test)size(data_train",{"_index":1475,"t":{},"b":{"6":{}}}],["size(data_train",{"_index":1474,"t":{},"b":{"6":{}}}],["size(hitt",{"_index":3147,"t":{},"b":{"22":{}}}],["size(smarket",{"_index":2812,"t":{},"b":{"20":{}}}],["size(x",{"_index":808,"t":{},"b":{"4":{},"5":{}}}],["size(x)(3",{"_index":2631,"t":{},"b":{"18":{}}}],["sketch_ep",{"_index":1175,"t":{},"b":{"5":{}}}],["skew",{"_index":3178,"t":{},"b":{"22":{}}}],["skip",{"_index":614,"t":{},"b":{"2":{}}}],["skip_drop",{"_index":1193,"t":{},"b":{"5":{}}}],["skipmiss",{"_index":439,"t":{},"b":{"1":{}}}],["skipto",{"_index":613,"t":{},"b":{"2":{}}}],["skylark",{"_index":2653,"t":{},"b":{"18":{}}}],["slightli",{"_index":2794,"t":{},"b":{"19":{}}}],["slow",{"_index":572,"t":{},"b":{"2":{}}}],["sm1_dz",{"_index":629,"t":{},"b":{"2":{}}}],["small",{"_index":1416,"t":{},"b":{"5":{}}}],["smarket",{"_index":2811,"t":{},"b":{"20":{}}}],["smarket.direct",{"_index":2847,"t":{},"b":{"20":{}}}],["solver",{"_index":1593,"t":{},"b":{"6":{},"7":{},"19":{},"21":{}}}],["someth",{"_index":919,"t":{},"b":{"4":{},"5":{},"6":{}}}],["sometim",{"_index":2604,"t":{},"b":{"18":{}}}],["sophist",{"_index":1154,"t":{},"b":{"5":{},"6":{}}}],["sourc",{"_index":943,"t":{},"b":{"4":{},"13":{}}}],["source(i",{"_index":948,"t":{},"b":{"4":{},"13":{},"14":{}}}],["source(x",{"_index":946,"t":{},"b":{"4":{},"13":{},"14":{}}}],["space",{"_index":1807,"t":{},"b":{"7":{},"20":{}}}],["spars",{"_index":3238,"t":{},"b":{"22":{}}}],["sparsiti",{"_index":3255,"t":{},"b":{"22":{}}}],["spca",{"_index":2541,"t":{},"b":{"17":{}}}],["spca(std",{"_index":2538,"t":{},"b":{"17":{}}}],["spca2",{"_index":2567,"t":{},"b":{"17":{}}}],["spca2(std",{"_index":2563,"t":{},"b":{"17":{}}}],["spca2_mdl",{"_index":2566,"t":{},"b":{"17":{}}}],["spca_mdl",{"_index":2540,"t":{},"b":{"17":{}}}],["speci",{"_index":455,"t":{},"b":{"1":{},"8":{}}}],["specif",{"_index":471,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"13":{},"16":{}}}],["specifi",{"_index":89,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"8":{},"9":{},"10":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["speciy",{"_index":2296,"t":{},"b":{"13":{}}}],["spectacular",{"_index":2795,"t":{},"b":{"19":{}}}],["speed",{"_index":690,"t":{},"b":{"3":{}}}],["spl",{"_index":518,"t":{},"b":{"1":{}}}],["split",{"_index":443,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"11":{},"12":{},"13":{},"18":{},"20":{}}}],["sqrt(x",{"_index":2609,"t":{},"b":{"18":{}}}],["sqrt(x)x",{"_index":2608,"t":{},"b":{"18":{}}}],["sqrt.([4",{"_index":2611,"t":{},"b":{"18":{}}}],["squar",{"_index":2775,"t":{},"b":{"19":{},"21":{}}}],["ss",{"_index":1404,"t":{},"b":{"5":{}}}],["stand",{"_index":2230,"t":{},"b":{"12":{},"13":{},"14":{}}}],["stand_model",{"_index":2229,"t":{},"b":{"12":{}}}],["standard",{"_index":551,"t":{},"b":{"2":{},"4":{},"7":{},"9":{},"12":{},"13":{},"14":{},"16":{},"17":{},"18":{},"20":{},"22":{}}}],["standardis",{"_index":1752,"t":{},"b":{"7":{}}}],["start",{"_index":14,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["startedbas",{"_index":3382,"t":{},"b":{"24":{}}}],["starteddata",{"_index":3136,"t":{},"b":{"22":{}}}],["starteddecis",{"_index":3284,"t":{},"b":{"23":{}}}],["startedpca",{"_index":2483,"t":{},"b":{"17":{}}}],["startedpolynomi",{"_index":3015,"t":{},"b":{"21":{}}}],["stat",{"_index":27,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["state",{"_index":2489,"t":{},"b":{"17":{}}}],["statist",{"_index":360,"t":{},"b":{"1":{},"4":{},"10":{},"12":{},"16":{},"18":{},"20":{}}}],["statsbas",{"_index":281,"t":{},"b":{"1":{},"5":{},"6":{},"7":{},"18":{},"20":{}}}],["statsbase.countmap",{"_index":1205,"t":{},"b":{"5":{}}}],["statsbases.jl",{"_index":2696,"t":{},"b":{"18":{}}}],["std",{"_index":290,"t":{},"b":{"1":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["std(mao.age)miss",{"_index":438,"t":{},"b":{"1":{}}}],["std(skipmissing(mao.age))11.551715894987558",{"_index":442,"t":{},"b":{"1":{}}}],["std(w",{"_index":2243,"t":{},"b":{"12":{}}}],["std(w)round.(w",{"_index":2239,"t":{},"b":{"12":{}}}],["std(x",{"_index":2621,"t":{},"b":{"18":{}}}],["std)13×3",{"_index":1723,"t":{},"b":{"7":{}}}],["std)14×6",{"_index":288,"t":{},"b":{"1":{}}}],["std)3×3",{"_index":519,"t":{},"b":{"1":{}}}],["std)3×5",{"_index":527,"t":{},"b":{"1":{}}}],["std)5×3",{"_index":2495,"t":{},"b":{"17":{}}}],["std)9×4",{"_index":2662,"t":{},"b":{"18":{}}}],["std_model",{"_index":2343,"t":{},"b":{"14":{}}}],["std_model::standard",{"_index":2372,"t":{},"b":{"14":{}}}],["stem(coef",{"_index":3258,"t":{},"b":{"22":{}}}],["stem(r",{"_index":2779,"t":{},"b":{"19":{},"22":{}}}],["step",{"_index":792,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{}}}],["stepsdatamlj",{"_index":2175,"t":{},"b":{"12":{}}}],["stepsdefin",{"_index":2248,"t":{},"b":{"13":{}}}],["stepsdummi",{"_index":783,"t":{},"b":{"4":{}}}],["stepshomogen",{"_index":1983,"t":{},"b":{"10":{}}}],["stepsus",{"_index":2334,"t":{},"b":{"14":{}}}],["stepsxgboost",{"_index":1115,"t":{},"b":{"5":{}}}],["steroid",{"_index":2279,"t":{},"b":{"13":{}}}],["stick",{"_index":2992,"t":{},"b":{"20":{}}}],["still",{"_index":1212,"t":{},"b":{"5":{},"6":{},"10":{}}}],["stock",{"_index":2803,"t":{},"b":{"20":{}}}],["store",{"_index":871,"t":{},"b":{"4":{},"8":{}}}],["store_covari",{"_index":2948,"t":{},"b":{"20":{}}}],["strategi",{"_index":2385,"t":{},"b":{"15":{}}}],["string",{"_index":620,"t":{},"b":{"2":{},"3":{},"18":{}}}],["string_to_multiclass",{"_index":773,"t":{},"b":{"3":{}}}],["struct",{"_index":991,"t":{},"b":{"4":{},"8":{},"14":{}}}],["structur",{"_index":1039,"t":{},"b":{"4":{}}}],["sub",{"_index":262,"t":{},"b":{"1":{},"11":{},"15":{}}}],["subdatafram",{"_index":502,"t":{},"b":{"1":{}}}],["subdf_setosa",{"_index":485,"t":{},"b":{"1":{}}}],["subfeatur",{"_index":2122,"t":{},"b":{"11":{}}}],["subsampl",{"_index":1169,"t":{},"b":{"5":{}}}],["subselect",{"_index":405,"t":{},"b":{"1":{}}}],["subsequ",{"_index":2341,"t":{},"b":{"14":{}}}],["subspacelda",{"_index":1920,"t":{},"b":{"8":{}}}],["such",{"_index":563,"t":{},"b":{"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"20":{}}}],["suggest",{"_index":770,"t":{},"b":{"3":{},"6":{}}}],["sum",{"_index":984,"t":{},"b":{"4":{}}}],["sum(abs.(vv",{"_index":2246,"t":{},"b":{"12":{}}}],["sum(abs.(x",{"_index":379,"t":{},"b":{"1":{}}}],["sum(coef",{"_index":3256,"t":{},"b":{"22":{}}}],["sum(ismissing.(col",{"_index":1551,"t":{},"b":{"6":{}}}],["sum(purchas",{"_index":2971,"t":{},"b":{"20":{}}}],["summari",{"_index":2093,"t":{},"b":{"11":{}}}],["supervis",{"_index":2177,"t":{},"b":{"12":{},"13":{}}}],["support",{"_index":1886,"t":{"24":{}},"b":{"8":{},"10":{},"13":{},"16":{},"18":{},"21":{},"24":{}}}],["sure",{"_index":3222,"t":{},"b":{"22":{}}}],["surgeri",{"_index":1442,"t":{},"b":{"6":{}}}],["surgical_les",{"_index":1463,"t":{},"b":{"6":{}}}],["svc",{"_index":3400,"t":{},"b":{"24":{}}}],["svc_mdl",{"_index":3402,"t":{},"b":{"24":{}}}],["svm",{"_index":2472,"t":{},"b":{"16":{},"24":{}}}],["swap",{"_index":3219,"t":{},"b":{"22":{}}}],["symbol",{"_index":291,"t":{},"b":{"1":{},"6":{},"7":{},"15":{},"17":{},"18":{},"19":{},"20":{}}}],["symbol(\"x$j",{"_index":3098,"t":{},"b":{"21":{}}}],["syntax",{"_index":268,"t":{},"b":{"1":{},"4":{},"7":{},"9":{},"13":{},"15":{},"18":{}}}],["syntaxpreliminari",{"_index":2252,"t":{},"b":{"13":{}}}],["syntaxtun",{"_index":790,"t":{},"b":{"4":{}}}],["syntaxus",{"_index":788,"t":{},"b":{"4":{}}}],["system",{"_index":602,"t":{},"b":{"2":{}}}],["systemat",{"_index":2034,"t":{},"b":{"10":{}}}],["t",{"_index":599,"t":{},"b":{"2":{}}}],["t,1",{"_index":1056,"t":{},"b":{"4":{}}}],["t=pca(maxoutdim=2",{"_index":1813,"t":{},"b":{"7":{}}}],["t[numericrang",{"_index":1092,"t":{},"b":{"4":{}}}],["tabl",{"_index":3397,"t":{},"b":{"24":{}}}],["tabular",{"_index":2934,"t":{},"b":{"20":{}}}],["tag",{"_index":2480,"t":{},"b":{"16":{}}}],["take",{"_index":862,"t":{},"b":{"4":{},"15":{},"20":{}}}],["taken",{"_index":1879,"t":{},"b":{"8":{},"10":{},"19":{}}}],["target",{"_index":849,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"20":{},"22":{}}}],["task",{"_index":1874,"t":{},"b":{"8":{},"14":{}}}],["tax",{"_index":188,"t":{},"b":{"1":{},"3":{},"19":{}}}],["teach",{"_index":2476,"t":{},"b":{"16":{}}}],["temperatur",{"_index":691,"t":{},"b":{"3":{}}}],["temperature_extrem",{"_index":1447,"t":{},"b":{"6":{}}}],["tend",{"_index":3331,"t":{},"b":{"23":{}}}],["term",{"_index":2783,"t":{},"b":{"19":{},"22":{}}}],["test",{"_index":879,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["test[1:3]3",{"_index":2196,"t":{},"b":{"12":{}}}],["thank",{"_index":1668,"t":{},"b":{"7":{},"8":{}}}],["that'",{"_index":402,"t":{},"b":{"1":{},"6":{},"13":{},"20":{},"22":{},"23":{}}}],["there'",{"_index":609,"t":{},"b":{"2":{},"4":{},"6":{},"18":{},"19":{},"21":{}}}],["there'r",{"_index":3194,"t":{},"b":{"22":{}}}],["therefor",{"_index":1923,"t":{},"b":{"8":{}}}],["thibaut",{"_index":125,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["thing",{"_index":117,"t":{},"b":{"0":{},"4":{},"6":{},"16":{},"18":{},"20":{}}}],["third",{"_index":968,"t":{},"b":{"4":{}}}],["those",{"_index":243,"t":{},"b":{"1":{},"20":{},"21":{}}}],["though",{"_index":729,"t":{},"b":{"3":{},"11":{},"12":{}}}],["three",{"_index":764,"t":{},"b":{"3":{},"7":{},"20":{},"21":{}}}],["threshold",{"_index":3009,"t":{},"b":{"20":{}}}],["through",{"_index":2284,"t":{},"b":{"13":{},"16":{}}}],["throughout",{"_index":711,"t":{},"b":{"3":{}}}],["thu",{"_index":2354,"t":{},"b":{"14":{}}}],["thumb",{"_index":1532,"t":{},"b":{"6":{}}}],["timber",{"_index":835,"t":{},"b":{"4":{}}}],["time",{"_index":514,"t":{},"b":{"1":{},"20":{},"21":{}}}],["tip",{"_index":748,"t":{},"b":{"3":{}}}],["tm",{"_index":1069,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["today",{"_index":2822,"t":{},"b":{"20":{}}}],["togeth",{"_index":2784,"t":{},"b":{"19":{}}}],["tol",{"_index":2949,"t":{},"b":{"20":{}}}],["tool",{"_index":760,"t":{},"b":{"3":{},"16":{}}}],["top_k",{"_index":1196,"t":{},"b":{"5":{}}}],["total",{"_index":1680,"t":{},"b":{"7":{}}}],["total_protein",{"_index":1460,"t":{},"b":{"6":{}}}],["totalbsmtsf",{"_index":816,"t":{},"b":{"4":{}}}],["toy",{"_index":2523,"t":{},"b":{"17":{}}}],["tpr",{"_index":3008,"t":{},"b":{"20":{}}}],["track",{"_index":1486,"t":{},"b":{"6":{},"12":{}}}],["tradeoff",{"_index":3407,"t":{},"b":{"24":{}}}],["train",{"_index":872,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["train/test",{"_index":1544,"t":{},"b":{"6":{}}}],["train_best",{"_index":1093,"t":{},"b":{"4":{},"15":{},"21":{}}}],["transform",{"_index":19,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["transform(1…72",{"_index":2291,"t":{},"b":{"13":{}}}],["transform(1…76",{"_index":2347,"t":{},"b":{"14":{}}}],["transform(1…80",{"_index":2326,"t":{},"b":{"13":{}}}],["transform(5…16",{"_index":2350,"t":{},"b":{"14":{}}}],["transform(9…41",{"_index":966,"t":{},"b":{"4":{}}}],["transform(box",{"_index":2309,"t":{},"b":{"13":{},"14":{}}}],["transform(fil",{"_index":1582,"t":{},"b":{"6":{}}}],["transform(hot",{"_index":956,"t":{},"b":{"4":{}}}],["transform(machine(m.std_model",{"_index":2375,"t":{},"b":{"14":{}}}],["transform(mstd",{"_index":2988,"t":{},"b":{"20":{}}}],["transform(pca",{"_index":1816,"t":{},"b":{"7":{},"17":{}}}],["transform(spca",{"_index":2544,"t":{},"b":{"17":{}}}],["transform(stand",{"_index":2235,"t":{},"b":{"12":{},"13":{},"14":{}}}],["transformationsimpl",{"_index":2714,"t":{},"b":{"19":{}}}],["treat",{"_index":1511,"t":{},"b":{"6":{}}}],["tree",{"_index":1190,"t":{"23":{}},"b":{"5":{},"6":{},"11":{},"12":{},"15":{},"16":{},"23":{}}}],["tree.max_depth",{"_index":3338,"t":{},"b":{"23":{}}}],["tree.min_samples_leaf",{"_index":3340,"t":{},"b":{"23":{}}}],["tree_method",{"_index":1173,"t":{},"b":{"5":{}}}],["tree_model",{"_index":2181,"t":{},"b":{"12":{}}}],["tri",{"_index":918,"t":{},"b":{"4":{},"6":{},"8":{},"17":{},"19":{},"20":{},"22":{},"23":{}}}],["trick",{"_index":749,"t":{},"b":{"3":{}}}],["trickstyp",{"_index":668,"t":{},"b":{"3":{}}}],["tricontourf(md",{"_index":1374,"t":{},"b":{"5":{}}}],["tricontourf(ss",{"_index":1406,"t":{},"b":{"5":{}}}],["tricontourf(vals_b",{"_index":2073,"t":{},"b":{"10":{}}}],["tricontourf(vals_sf",{"_index":2168,"t":{},"b":{"11":{},"15":{}}}],["true",{"_index":940,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["truth",{"_index":2317,"t":{},"b":{"13":{},"20":{}}}],["tune",{"_index":20,"t":{"15":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tuned_ensembl",{"_index":2059,"t":{},"b":{"10":{}}}],["tuned_forest",{"_index":2155,"t":{},"b":{"11":{}}}],["tunedmodel",{"_index":2052,"t":{},"b":{"10":{},"13":{},"15":{}}}],["tunedmodel(model=dtc",{"_index":2396,"t":{},"b":{"15":{}}}],["tunedmodel(model=dtr_model",{"_index":3360,"t":{},"b":{"23":{}}}],["tunedmodel(model=ensemble_model",{"_index":2053,"t":{},"b":{"10":{}}}],["tunedmodel(model=forest",{"_index":2156,"t":{},"b":{"11":{},"15":{}}}],["tunedmodel(model=krb",{"_index":1070,"t":{},"b":{"4":{}}}],["tunedmodel(model=lrm",{"_index":3104,"t":{},"b":{"21":{}}}],["tunedmodel(model=mdl",{"_index":3342,"t":{},"b":{"23":{}}}],["tunedmodel(model=model",{"_index":3225,"t":{},"b":{"22":{}}}],["tunedmodel(model=simplepip",{"_index":1628,"t":{},"b":{"6":{}}}],["tunedmodel(model=svc_mdl",{"_index":3413,"t":{},"b":{"24":{}}}],["tunedmodel(model=xgb",{"_index":1355,"t":{},"b":{"5":{}}}],["tuning=grid(resolution=10",{"_index":2054,"t":{},"b":{"10":{},"23":{},"24":{}}}],["tuning=grid(resolution=12",{"_index":2436,"t":{},"b":{"15":{}}}],["tuning=grid(resolution=3",{"_index":2157,"t":{},"b":{"11":{}}}],["tuning=grid(resolution=50",{"_index":3226,"t":{},"b":{"22":{}}}],["tuning=grid(resolution=8",{"_index":1356,"t":{},"b":{"5":{},"23":{}}}],["tuning=tun",{"_index":1071,"t":{},"b":{"4":{}}}],["tuningget",{"_index":3383,"t":{},"b":{"24":{}}}],["tuningreport",{"_index":1986,"t":{},"b":{"10":{}}}],["tupl",{"_index":2211,"t":{},"b":{"12":{},"13":{}}}],["tutori",{"_index":4,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tweedie_variance_pow",{"_index":1197,"t":{},"b":{"5":{}}}],["two",{"_index":97,"t":{},"b":{"0":{},"2":{},"4":{},"6":{},"7":{},"8":{},"10":{},"14":{},"20":{}}}],["type",{"_index":12,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["typeget",{"_index":1657,"t":{},"b":{"7":{}}}],["typeof(boston)datafram",{"_index":168,"t":{},"b":{"1":{}}}],["typeof(boston)dataframes.datafram",{"_index":576,"t":{},"b":{"2":{}}}],["typeof(data)datafram",{"_index":605,"t":{},"b":{"2":{}}}],["typesinspect",{"_index":664,"t":{},"b":{"3":{}}}],["typeunpack",{"_index":1860,"t":{},"b":{"8":{}}}],["typewhi",{"_index":662,"t":{},"b":{"3":{}}}],["typic",{"_index":1960,"t":{},"b":{"9":{}}}],["u",{"_index":2877,"t":{},"b":{"20":{}}}],["uci",{"_index":1430,"t":{},"b":{"6":{},"7":{}}}],["un",{"_index":683,"t":{},"b":{"3":{}}}],["unbalanc",{"_index":2983,"t":{},"b":{"20":{}}}],["under",{"_index":3004,"t":{},"b":{"20":{}}}],["understood",{"_index":1876,"t":{},"b":{"8":{}}}],["unifi",{"_index":2716,"t":{},"b":{"19":{}}}],["uniform",{"_index":941,"t":{},"b":{"4":{},"5":{},"8":{},"10":{}}}],["union",{"_index":410,"t":{},"b":{"1":{},"17":{},"18":{},"20":{}}}],["union{miss",{"_index":1505,"t":{},"b":{"6":{},"7":{}}}],["uniqu",{"_index":768,"t":{},"b":{"3":{}}}],["unique(boston.chas)2",{"_index":727,"t":{},"b":{"3":{}}}],["unique(iris.species)3",{"_index":479,"t":{},"b":{"1":{}}}],["unique(purchase)2",{"_index":2968,"t":{},"b":{"20":{}}}],["unit",{"_index":2392,"t":{},"b":{"15":{}}}],["univari",{"_index":895,"t":{},"b":{"4":{},"19":{}}}],["univariateboxcoxtransform",{"_index":2307,"t":{},"b":{"13":{},"14":{}}}],["univariateboxcoxtransformer()nod",{"_index":2324,"t":{},"b":{"13":{}}}],["univariatefinite(down=>0.493",{"_index":2892,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.504",{"_index":2931,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.518",{"_index":2894,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.519",{"_index":2896,"t":{},"b":{"20":{}}}],["univariatefinite(setosa=>0.0",{"_index":2214,"t":{},"b":{"12":{}}}],["univariatestandard",{"_index":1969,"t":{},"b":{"9":{},"12":{}}}],["univers",{"_index":2458,"t":{},"b":{"16":{}}}],["unknown",{"_index":705,"t":{},"b":{"3":{},"6":{}}}],["unknowntip",{"_index":667,"t":{},"b":{"3":{}}}],["unless",{"_index":713,"t":{},"b":{"3":{}}}],["unnecessari",{"_index":2468,"t":{},"b":{"16":{}}}],["unpack",{"_index":1873,"t":{},"b":{"8":{},"12":{}}}],["unpack(auto",{"_index":3019,"t":{},"b":{"21":{}}}],["unpack(boston",{"_index":3349,"t":{},"b":{"23":{}}}],["unpack(caravan",{"_index":2985,"t":{},"b":{"20":{}}}],["unpack(data",{"_index":1692,"t":{},"b":{"7":{}}}],["unpack(datac",{"_index":1583,"t":{},"b":{"6":{}}}],["unpack(hitt",{"_index":3168,"t":{},"b":{"22":{}}}],["unpack(iri",{"_index":1875,"t":{},"b":{"8":{}}}],["unspecifi",{"_index":878,"t":{},"b":{"4":{}}}],["unsupervis",{"_index":2192,"t":{},"b":{"12":{},"13":{}}}],["untrain",{"_index":2276,"t":{},"b":{"13":{}}}],["unwant",{"_index":1482,"t":{},"b":{"6":{}}}],["up",{"_index":2866,"t":{},"b":{"20":{}}}],["up=>0.479",{"_index":2930,"t":{},"b":{"20":{}}}],["up=>0.481",{"_index":2897,"t":{},"b":{"20":{}}}],["up=>0.482",{"_index":2895,"t":{},"b":{"20":{}}}],["up=>0.496",{"_index":2932,"t":{},"b":{"20":{}}}],["up=>0.507",{"_index":2893,"t":{},"b":{"20":{}}}],["updat",{"_index":1178,"t":{},"b":{"5":{}}}],["updr",{"_index":417,"t":{},"b":{"1":{}}}],["upon",{"_index":2085,"t":{},"b":{"11":{}}}],["upper",{"_index":2391,"t":{},"b":{"15":{}}}],["upper=0.9",{"_index":1053,"t":{},"b":{"4":{}}}],["upper=1.0",{"_index":1399,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["upper=10",{"_index":1050,"t":{},"b":{"4":{},"5":{},"23":{}}}],["upper=100",{"_index":1045,"t":{},"b":{"4":{},"6":{},"22":{}}}],["upper=1000",{"_index":2134,"t":{},"b":{"11":{}}}],["upper=100_000",{"_index":3224,"t":{},"b":{"22":{}}}],["upper=10_000",{"_index":3276,"t":{},"b":{"22":{}}}],["upper=12",{"_index":2148,"t":{},"b":{"11":{}}}],["upper=20",{"_index":2048,"t":{},"b":{"10":{},"23":{}}}],["upper=3",{"_index":2435,"t":{},"b":{"15":{}}}],["upper=5",{"_index":1354,"t":{},"b":{"5":{},"24":{}}}],["upper=5)numericrang",{"_index":2390,"t":{},"b":{"15":{}}}],["upper=50",{"_index":3341,"t":{},"b":{"23":{}}}],["upper=500",{"_index":1224,"t":{},"b":{"5":{}}}],["upstream",{"_index":2294,"t":{},"b":{"13":{}}}],["urban",{"_index":3300,"t":{},"b":{"23":{}}}],["urbanpop",{"_index":2492,"t":{},"b":{"17":{}}}],["urbanpop=>continu",{"_index":2507,"t":{},"b":{"17":{}}}],["us",{"_index":61,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["usag",{"_index":475,"t":{},"b":{"1":{},"2":{}}}],["usageexampl",{"_index":545,"t":{},"b":{"2":{}}}],["usarrest",{"_index":2487,"t":{},"b":{"17":{}}}],["usual",{"_index":687,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"20":{},"24":{}}}],["v",{"_index":63,"t":{},"b":{"0":{},"12":{}}}],["v))0.0",{"_index":2247,"t":{},"b":{"12":{}}}],["v)machine{univariatestandard",{"_index":2232,"t":{},"b":{"12":{}}}],["v[1",{"_index":105,"t":{},"b":{"0":{}}}],["v[2]fals",{"_index":119,"t":{},"b":{"0":{}}}],["v[2]true",{"_index":106,"t":{},"b":{"0":{}}}],["val",{"_index":2967,"t":{},"b":{"20":{}}}],["valid",{"_index":603,"t":{"21":{}},"b":{"2":{},"4":{},"15":{},"16":{},"21":{},"22":{}}}],["validatinglasso",{"_index":3140,"t":{},"b":{"22":{}}}],["validationth",{"_index":3017,"t":{},"b":{"21":{}}}],["vals[1",{"_index":2972,"t":{},"b":{"20":{}}}],["vals[2",{"_index":2974,"t":{},"b":{"20":{}}}],["vals_b",{"_index":2070,"t":{},"b":{"10":{}}}],["vals_bf",{"_index":2167,"t":{},"b":{"11":{},"15":{}}}],["vals_k",{"_index":2072,"t":{},"b":{"10":{}}}],["vals_sf",{"_index":2166,"t":{},"b":{"11":{},"15":{}}}],["valu",{"_index":121,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"9":{},"13":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["valuefit",{"_index":2383,"t":{},"b":{"15":{}}}],["values=cas",{"_index":3103,"t":{},"b":{"21":{}}}],["valuesa",{"_index":1426,"t":{},"b":{"6":{}}}],["valuessplit",{"_index":143,"t":{},"b":{"1":{}}}],["valuesthi",{"_index":56,"t":{},"b":{"0":{}}}],["var(xs[:,1",{"_index":2989,"t":{},"b":{"20":{}}}],["vari",{"_index":1218,"t":{},"b":{"5":{},"7":{},"12":{}}}],["variabl",{"_index":289,"t":{},"b":{"1":{},"3":{},"7":{},"9":{},"17":{},"18":{},"19":{},"20":{},"23":{}}}],["varianc",{"_index":899,"t":{},"b":{"4":{},"17":{}}}],["variat",{"_index":1756,"t":{},"b":{"7":{}}}],["variou",{"_index":1754,"t":{},"b":{"7":{}}}],["vcat",{"_index":2277,"t":{},"b":{"13":{},"24":{}}}],["vcat(data_train",{"_index":1483,"t":{},"b":{"6":{}}}],["vector",{"_index":60,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"12":{},"18":{},"24":{}}}],["vectorwork",{"_index":53,"t":{},"b":{"0":{}}}],["vega",{"_index":2711,"t":{},"b":{"18":{}}}],["verbos",{"_index":1012,"t":{},"b":{"4":{},"13":{}}}],["verbosity::int",{"_index":999,"t":{},"b":{"4":{},"14":{}}}],["verbosity=0",{"_index":1008,"t":{},"b":{"4":{},"14":{}}}],["veri",{"_index":163,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"16":{},"18":{},"19":{},"20":{}}}],["versicolor",{"_index":480,"t":{},"b":{"1":{},"12":{}}}],["versicolor=>0.0",{"_index":2215,"t":{},"b":{"12":{}}}],["version",{"_index":446,"t":{},"b":{"1":{},"4":{}}}],["via",{"_index":552,"t":{},"b":{"2":{},"4":{},"7":{},"10":{},"14":{},"18":{},"20":{}}}],["view",{"_index":193,"t":{},"b":{"1":{}}}],["virginica",{"_index":481,"t":{},"b":{"1":{},"12":{}}}],["virginica=>1.0",{"_index":2216,"t":{},"b":{"12":{}}}],["visualis",{"_index":1403,"t":{},"b":{"5":{},"7":{},"10":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["vntrcod2",{"_index":430,"t":{},"b":{"1":{}}}],["vntrcode",{"_index":428,"t":{},"b":{"1":{}}}],["volum",{"_index":2821,"t":{},"b":{"20":{}}}],["vs",{"_index":661,"t":{},"b":{"3":{}}}],["vv",{"_index":2244,"t":{},"b":{"12":{}}}],["w",{"_index":953,"t":{},"b":{"4":{},"7":{},"12":{},"13":{},"14":{},"17":{}}}],["w(rows=test",{"_index":2297,"t":{},"b":{"13":{}}}],["w(x[3:4",{"_index":2298,"t":{},"b":{"13":{}}}],["w)node",{"_index":963,"t":{},"b":{"4":{},"14":{}}}],["w.x1",{"_index":1821,"t":{},"b":{"7":{}}}],["w.x2",{"_index":1823,"t":{},"b":{"7":{}}}],["w[m",{"_index":2581,"t":{},"b":{"17":{}}}],["w_rang",{"_index":1051,"t":{},"b":{"4":{}}}],["w_range]3",{"_index":1054,"t":{},"b":{"4":{}}}],["walk",{"_index":3155,"t":{},"b":{"22":{}}}],["want",{"_index":103,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"8":{},"9":{},"13":{},"16":{},"18":{},"19":{},"20":{},"21":{}}}],["warn",{"_index":2188,"t":{},"b":{"12":{}}}],["way",{"_index":550,"t":{},"b":{"2":{},"7":{},"14":{},"15":{},"16":{},"18":{},"20":{}}}],["we'll",{"_index":1530,"t":{},"b":{"6":{},"7":{},"20":{},"22":{}}}],["we'r",{"_index":2902,"t":{},"b":{"20":{},"21":{},"22":{}}}],["we'v",{"_index":104,"t":{},"b":{"0":{},"6":{},"10":{},"11":{},"17":{},"20":{}}}],["wealth",{"_index":2605,"t":{},"b":{"18":{}}}],["websit",{"_index":133,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["weight",{"_index":689,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"10":{},"15":{},"18":{},"21":{}}}],["welcom",{"_index":2445,"t":{},"b":{"16":{}}}],["well",{"_index":148,"t":{},"b":{"1":{},"2":{},"4":{},"6":{},"7":{},"11":{},"19":{},"20":{},"21":{}}}],["whatev",{"_index":2293,"t":{},"b":{"13":{}}}],["whatever'",{"_index":1535,"t":{},"b":{"6":{}}}],["whenc",{"_index":2033,"t":{},"b":{"10":{}}}],["wherea",{"_index":680,"t":{},"b":{"3":{}}}],["whether",{"_index":608,"t":{},"b":{"2":{},"5":{},"6":{},"13":{},"23":{}}}],["whole",{"_index":1613,"t":{},"b":{"6":{},"11":{},"23":{}}}],["whose",{"_index":73,"t":{},"b":{"0":{},"13":{}}}],["width",{"_index":3409,"t":{},"b":{"24":{}}}],["wine",{"_index":39,"t":{"7":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["wise",{"_index":2610,"t":{},"b":{"18":{}}}],["wish",{"_index":91,"t":{},"b":{"0":{}}}],["without",{"_index":473,"t":{},"b":{"1":{},"22":{}}}],["won't",{"_index":1811,"t":{},"b":{"7":{},"17":{},"20":{}}}],["wonder",{"_index":2592,"t":{},"b":{"18":{}}}],["work",{"_index":88,"t":{},"b":{"0":{},"6":{},"7":{},"11":{},"13":{},"20":{},"22":{}}}],["workflow",{"_index":1961,"t":{},"b":{"9":{},"13":{}}}],["worri",{"_index":574,"t":{},"b":{"2":{}}}],["wors",{"_index":1654,"t":{},"b":{"6":{}}}],["wrangl",{"_index":2695,"t":{},"b":{"18":{}}}],["wrap",{"_index":869,"t":{},"b":{"4":{},"5":{},"7":{},"10":{},"12":{},"13":{},"15":{},"19":{},"24":{}}}],["wrapper",{"_index":171,"t":{},"b":{"1":{},"15":{}}}],["write",{"_index":2339,"t":{},"b":{"14":{},"21":{}}}],["written",{"_index":2463,"t":{},"b":{"16":{},"18":{}}}],["x",{"_index":804,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["x.age",{"_index":2788,"t":{},"b":{"19":{}}}],["x.horsepow",{"_index":3043,"t":{},"b":{"21":{}}}],["x.lstat",{"_index":2787,"t":{},"b":{"19":{}}}],["x.lstat.^2",{"_index":2798,"t":{},"b":{"19":{}}}],["x.x2",{"_index":2429,"t":{},"b":{"15":{}}}],["x1",{"_index":1820,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"21":{}}}],["x10",{"_index":3115,"t":{},"b":{"21":{}}}],["x1=rand(100",{"_index":2425,"t":{},"b":{"15":{}}}],["x1stflrsf",{"_index":815,"t":{},"b":{"4":{}}}],["x2",{"_index":1822,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x2=rand(100",{"_index":2426,"t":{},"b":{"15":{}}}],["x2=x2",{"_index":2259,"t":{},"b":{"13":{},"14":{}}}],["x2[mask_1",{"_index":1829,"t":{},"b":{"7":{}}}],["x2[mask_2",{"_index":1834,"t":{},"b":{"7":{}}}],["x2[mask_3",{"_index":1837,"t":{},"b":{"7":{}}}],["x3",{"_index":2255,"t":{},"b":{"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x3=rand(100",{"_index":2427,"t":{},"b":{"15":{}}}],["x3=x3",{"_index":2260,"t":{},"b":{"13":{},"14":{}}}],["x4",{"_index":2513,"t":{},"b":{"17":{},"21":{}}}],["x5",{"_index":2546,"t":{},"b":{"17":{},"21":{}}}],["x6",{"_index":2547,"t":{},"b":{"17":{},"21":{}}}],["x7",{"_index":3112,"t":{},"b":{"21":{}}}],["x8",{"_index":3113,"t":{},"b":{"21":{}}}],["x9",{"_index":3114,"t":{},"b":{"21":{}}}],["x[1",{"_index":2625,"t":{},"b":{"18":{}}}],["x[1:5",{"_index":1705,"t":{},"b":{"7":{}}}],["x[[1",{"_index":2626,"t":{},"b":{"18":{}}}],["x[no_miss",{"_index":3173,"t":{},"b":{"22":{}}}],["x[test",{"_index":2002,"t":{},"b":{"10":{}}}],["x[train",{"_index":1596,"t":{},"b":{"6":{}}}],["x[ym1",{"_index":3393,"t":{},"b":{"24":{}}}],["x[ym2",{"_index":3395,"t":{},"b":{"24":{}}}],["x^2",{"_index":2607,"t":{},"b":{"18":{}}}],["x_uni",{"_index":2734,"t":{},"b":{"19":{}}}],["xc",{"_index":1714,"t":{},"b":{"7":{},"22":{}}}],["xg",{"_index":2482,"t":{},"b":{"16":{}}}],["xgb",{"_index":41,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["xgb.colsample_bytre",{"_index":1414,"t":{},"b":{"5":{}}}],["xgb.colsample_bytreexgb.subsampl",{"_index":1412,"t":{},"b":{"5":{}}}],["xgb.max_depth",{"_index":1382,"t":{},"b":{"5":{}}}],["xgb.min_child_weight",{"_index":1384,"t":{},"b":{"5":{}}}],["xgb.min_child_weightxgb.max_depth",{"_index":1383,"t":{},"b":{"5":{}}}],["xgb.num_round",{"_index":1345,"t":{},"b":{"5":{}}}],["xgb.subsampl",{"_index":1411,"t":{},"b":{"5":{}}}],["xgb_mdl",{"_index":3375,"t":{},"b":{"23":{}}}],["xgb_model",{"_index":1158,"t":{},"b":{"5":{}}}],["xgbm",{"_index":1214,"t":{},"b":{"5":{}}}],["xgboost",{"_index":1114,"t":{"5":{}},"b":{"5":{},"8":{}}}],["xgboostclassifi",{"_index":1157,"t":{},"b":{"5":{},"6":{},"8":{}}}],["xgboostclassifier()xgboostclassifi",{"_index":1159,"t":{},"b":{"5":{}}}],["xgboostregressor",{"_index":3374,"t":{},"b":{"23":{}}}],["xgboostregressor(num_round=10",{"_index":3376,"t":{},"b":{"23":{}}}],["xhp",{"_index":3044,"t":{},"b":{"21":{}}}],["xlabel(\"bag",{"_index":2075,"t":{},"b":{"10":{}}}],["xlabel(\"fals",{"_index":3012,"t":{},"b":{"20":{}}}],["xlabel(\"horsepow",{"_index":3024,"t":{},"b":{"21":{}}}],["xlabel(\"index",{"_index":3176,"t":{},"b":{"22":{}}}],["xlabel(\"maximum",{"_index":1376,"t":{},"b":{"5":{},"15":{}}}],["xlabel(\"numb",{"_index":1336,"t":{},"b":{"5":{},"11":{},"15":{},"17":{}}}],["xlabel(\"pca",{"_index":1839,"t":{},"b":{"7":{},"17":{}}}],["xlabel(\"residu",{"_index":3217,"t":{},"b":{"22":{}}}],["xlabel(\"salari",{"_index":3181,"t":{},"b":{"22":{}}}],["xlabel(\"sub",{"_index":1407,"t":{},"b":{"5":{}}}],["xlabel(\"tick",{"_index":2864,"t":{},"b":{"20":{}}}],["xlim",{"_index":3218,"t":{},"b":{"22":{}}}],["xnew",{"_index":2747,"t":{},"b":{"19":{},"20":{},"21":{}}}],["xnew.lstat",{"_index":2800,"t":{},"b":{"19":{}}}],["xnew.lstat.^2",{"_index":2802,"t":{},"b":{"19":{}}}],["xraw",{"_index":1989,"t":{},"b":{"10":{}}}],["xraw[:,2",{"_index":1992,"t":{},"b":{"10":{}}}],["xs",{"_index":945,"t":{},"b":{"4":{},"13":{},"14":{},"20":{}}}],["xs)node",{"_index":2289,"t":{},"b":{"13":{}}}],["xtest",{"_index":1777,"t":{},"b":{"7":{}}}],["xticks(0.5:0.1:1",{"_index":2074,"t":{},"b":{"10":{}}}],["xticks(1:3:12",{"_index":2169,"t":{},"b":{"11":{}}}],["xticks(1:5",{"_index":2422,"t":{},"b":{"15":{}}}],["xticks(3:2:10",{"_index":1378,"t":{},"b":{"5":{}}}],["xticks(50:50:250",{"_index":3025,"t":{},"b":{"21":{}}}],["xticks([1",{"_index":2439,"t":{},"b":{"15":{},"20":{}}}],["xticks([10",{"_index":1340,"t":{},"b":{"5":{},"11":{}}}],["xticks(fontsize=12",{"_index":1410,"t":{},"b":{"5":{},"7":{},"20":{},"22":{}}}],["xticks(idxshow",{"_index":3269,"t":{},"b":{"22":{}}}],["xtrain",{"_index":1595,"t":{},"b":{"6":{},"7":{}}}],["xx",{"_index":3034,"t":{},"b":{"21":{},"22":{}}}],["xx.horsepow",{"_index":3078,"t":{},"b":{"21":{}}}],["y",{"_index":805,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["y)0.0",{"_index":3329,"t":{},"b":{"23":{}}}],["y)0.1",{"_index":3416,"t":{},"b":{"24":{}}}],["y)0.15",{"_index":3406,"t":{},"b":{"24":{}}}],["y)2.4013585313593353",{"_index":2174,"t":{},"b":{"11":{}}}],["y)machine{constantregressor",{"_index":876,"t":{},"b":{"4":{}}}],["y)machine{decisiontreeclassifi",{"_index":2190,"t":{},"b":{"12":{}}}],["y)machine{knnregressor",{"_index":1999,"t":{},"b":{"10":{}}}],["y)machine{logisticclassifi",{"_index":2887,"t":{},"b":{"20":{}}}],["y)machine{xgboostclassifi",{"_index":1216,"t":{},"b":{"5":{}}}],["y[1:3",{"_index":850,"t":{},"b":{"4":{},"5":{}}}],["y[test",{"_index":1420,"t":{},"b":{"5":{},"12":{},"20":{},"22":{},"23":{}}}],["y[test])0.11590837511873998",{"_index":2004,"t":{},"b":{"10":{}}}],["y[test])0.15043436217402137",{"_index":2081,"t":{},"b":{"10":{}}}],["y[test])0.26",{"_index":3346,"t":{},"b":{"23":{}}}],["y[test])0.29",{"_index":3335,"t":{},"b":{"23":{}}}],["y[test])0.3939854493135167",{"_index":915,"t":{},"b":{"4":{}}}],["y[test])0.7434211711306039",{"_index":3006,"t":{},"b":{"20":{}}}],["y[test])^2",{"_index":3069,"t":{},"b":{"21":{},"22":{}}}],["y[test])^223.493990895007986",{"_index":3033,"t":{},"b":{"21":{}}}],["y[train",{"_index":1598,"t":{},"b":{"6":{}}}],["yc",{"_index":1697,"t":{},"b":{"7":{}}}],["ye",{"_index":2969,"t":{},"b":{"20":{},"23":{}}}],["yeah",{"_index":1522,"t":{},"b":{"6":{}}}],["year",{"_index":2638,"t":{},"b":{"18":{},"20":{},"22":{}}}],["yearbuilt",{"_index":823,"t":{},"b":{"4":{}}}],["yearremodadd",{"_index":822,"t":{},"b":{"4":{}}}],["ylabel(\"amplitud",{"_index":3272,"t":{},"b":{"22":{}}}],["ylabel(\"bag",{"_index":2171,"t":{},"b":{"11":{},"15":{}}}],["ylabel(\"col",{"_index":1409,"t":{},"b":{"5":{}}}],["ylabel(\"cross",{"_index":1338,"t":{},"b":{"5":{}}}],["ylabel(\"dens",{"_index":3182,"t":{},"b":{"22":{}}}],["ylabel(\"minimum",{"_index":1377,"t":{},"b":{"5":{}}}],["ylabel(\"misclassif",{"_index":2423,"t":{},"b":{"15":{}}}],["ylabel(\"mpg",{"_index":3027,"t":{},"b":{"21":{}}}],["ylabel(\"numb",{"_index":2078,"t":{},"b":{"10":{},"20":{}}}],["ylabel(\"pca",{"_index":1841,"t":{},"b":{"7":{},"17":{}}}],["ylabel(\"ratio",{"_index":2560,"t":{},"b":{"17":{}}}],["ylabel(\"residu",{"_index":3202,"t":{},"b":{"22":{}}}],["ylabel(\"salari",{"_index":3177,"t":{},"b":{"22":{}}}],["ylabel(\"tru",{"_index":3013,"t":{},"b":{"20":{}}}],["ylabel(\"volum",{"_index":2865,"t":{},"b":{"20":{}}}],["ylim",{"_index":3203,"t":{},"b":{"22":{}}}],["ylim([0",{"_index":2424,"t":{},"b":{"15":{}}}],["ylim([4",{"_index":2141,"t":{},"b":{"11":{}}}],["ym1",{"_index":3390,"t":{},"b":{"24":{}}}],["ym2",{"_index":3391,"t":{},"b":{"24":{}}}],["you'd",{"_index":2193,"t":{},"b":{"12":{}}}],["you'r",{"_index":980,"t":{},"b":{"4":{},"7":{},"16":{},"18":{}}}],["you'v",{"_index":974,"t":{},"b":{"4":{},"12":{}}}],["yourself",{"_index":612,"t":{},"b":{"2":{}}}],["ypred",{"_index":976,"t":{},"b":{"4":{},"23":{},"24":{}}}],["ypreds)0.16152078648356502",{"_index":979,"t":{},"b":{"4":{}}}],["ys",{"_index":947,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ys)node",{"_index":2345,"t":{},"b":{"14":{}}}],["ytest",{"_index":1779,"t":{},"b":{"7":{}}}],["yticks(0.4:0.2:1",{"_index":2170,"t":{},"b":{"11":{}}}],["yticks(1.46:0.005:1.475",{"_index":1343,"t":{},"b":{"5":{}}}],["yticks(10:10:50",{"_index":3026,"t":{},"b":{"21":{}}}],["yticks([1",{"_index":2077,"t":{},"b":{"10":{}}}],["yticks(fontsize=12",{"_index":1379,"t":{},"b":{"5":{},"7":{},"15":{},"20":{},"22":{}}}],["ytrain",{"_index":1597,"t":{},"b":{"6":{},"7":{}}}],["ytrain)0.11371237458193979",{"_index":1655,"t":{},"b":{"6":{}}}],["ytrain)machine{mnpip",{"_index":1783,"t":{},"b":{"7":{}}}],["yy",{"_index":3037,"t":{},"b":{"21":{},"22":{}}}],["yy1",{"_index":3082,"t":{},"b":{"21":{}}}],["yy2",{"_index":3084,"t":{},"b":{"21":{}}}],["yy3",{"_index":3086,"t":{},"b":{"21":{}}}],["yy5",{"_index":3135,"t":{},"b":{"21":{}}}],["ŷ(rows=test",{"_index":977,"t":{},"b":{"4":{}}}],["ŷ(rows=test))0.019910338054336767",{"_index":2319,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.05425574766979042",{"_index":2321,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.12278602255214813",{"_index":986,"t":{},"b":{"4":{}}}],["ŷ[1:3",{"_index":888,"t":{},"b":{"4":{}}}],["ŷ[1:3]3",{"_index":906,"t":{},"b":{"4":{},"20":{}}}],["ŷ[1]ŷ[1",{"_index":2213,"t":{},"b":{"12":{}}}],["ȳ[1",{"_index":2220,"t":{},"b":{"12":{}}}],["z",{"_index":954,"t":{},"b":{"4":{},"13":{},"14":{},"18":{}}}],["zip((mask1",{"_index":2576,"t":{},"b":{"17":{}}}],["zip(sch.nam",{"_index":1500,"t":{},"b":{"6":{},"7":{}}}],["zn",{"_index":180,"t":{},"b":{"1":{},"3":{},"19":{}}}],["zn]]5×2",{"_index":257,"t":{},"b":{"1":{}}}],["ẑ)node",{"_index":2312,"t":{},"b":{"13":{},"14":{}}}],["ẑ.machine.model.lambda",{"_index":2333,"t":{},"b":{"13":{}}}],["ẑ[:lambda",{"_index":2332,"t":{},"b":{"13":{}}}]],"pipeline":["stemmer"]};
+const LUNR_DATA = {"version":"2.3.8","fields":["t","b"],"fieldVectors":[["t/0",[0,2.085,1,0.018,2,0.111]],["b/0",[0,2.657,1,0.036,2,0.204,3,0.023,4,0.032,5,0.024,6,0.024,7,0.039,8,0.023,9,0.024,10,0.024,11,0.023,12,0.023,13,0.024,14,0.024,15,0.023,16,0.28,17,0.023,18,0.023,19,0.023,20,0.023,21,0.084,22,0.163,23,0.023,24,0.092,25,0.084,26,0.024,27,0.024,28,0.398,29,0.035,30,0.023,31,0.023,32,0.023,33,0.023,34,0.023,35,0.023,36,0.031,37,0.033,38,0.023,39,0.023,40,0.023,41,0.024,42,0.023,43,0.074,44,0.074,45,0.074,46,0.093,47,0.126,48,0.126,49,0.126,50,0.074,51,0.126,52,1.016,53,3.759,54,3.759,55,3.759,56,3.759,57,1.868,58,3.095,59,2.33,60,1.959,61,0.107,62,2.657,63,4.463,64,4.725,65,4.819,66,5.702,67,4.694,68,3.759,69,1.367,70,4.725,71,2.33,72,3.095,73,3.095,74,2.657,75,2.33,76,3.095,77,3.34,78,5.168,79,1.852,80,3.89,81,4.03,82,5.422,83,3.653,84,1.11,85,1.852,86,4.254,87,1.594,88,1.666,89,0.813,90,5.168,91,3.759,92,2.29,93,1.239,94,0.809,95,0.159,96,0.809,97,1.359,98,3.759,99,0.407,100,1.852,101,0.722,102,2.657,103,1.259,104,1.852,105,5.168,106,4.725,107,0.618,108,0.902,109,2.069,110,3.759,111,5.702,112,4.03,113,3.361,114,0.809,115,3.759,116,3.759,117,1.852,118,3.759,119,3.759,120,1.526,121,1.016,122,2.33,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024]],["t/1",[136,2.107,137,0.445]],["b/1",[1,0.026,2,0.185,3,0.011,4,0.026,5,0.011,6,0.022,7,0.039,8,0.017,9,0.011,10,0.011,11,0.011,12,0.021,13,0.011,14,0.022,15,0.011,16,0.183,17,0.011,18,0.011,19,0.011,20,0.011,21,0.049,22,0.158,23,0.011,24,0.068,25,0.049,26,0.011,27,0.011,28,0.325,29,0.034,30,0.029,31,0.028,32,0.011,33,0.021,34,0.021,35,0.021,36,0.018,37,0.022,38,0.011,39,0.011,40,0.011,41,0.011,42,0.011,43,0.035,44,0.035,45,0.035,46,0.054,47,0.059,48,0.059,49,0.059,50,0.035,51,0.059,58,1.438,60,1.222,61,0.106,69,0.811,77,2.708,83,1.235,85,2.05,89,0.507,94,1.163,95,0.092,96,0.59,99,0.437,103,0.73,107,0.229,108,0.419,120,1.131,121,0.728,123,0.011,124,0.011,125,0.011,126,0.011,127,0.011,128,0.018,129,0.022,130,0.011,131,0.018,132,0.011,133,0.011,134,0.011,135,0.011,136,1.083,137,0.707,138,1.747,139,1.747,140,1.747,141,1.747,142,1.747,143,1.747,144,1.499,145,1.747,146,1.438,147,1.747,148,0.631,149,1.937,150,1.438,151,1.366,152,1.438,153,1.235,154,1.083,155,1.747,156,1.438,157,1.438,158,1.235,159,0.229,160,1.747,161,1.887,162,0.999,163,1.304,164,0.575,165,0.465,166,0.962,167,1.666,168,1.438,169,1.887,170,1.235,171,1.438,172,0.861,173,0.999,174,1.539,175,1.304,176,0.999,177,1.747,178,1.235,179,3.556,180,3.556,181,3.38,182,2.708,183,2.391,184,1.384,185,2.05,186,2.708,187,2.708,188,2.708,189,2.708,190,2.708,191,2.708,192,2.375,193,3.831,194,0.736,195,0.774,196,1.812,197,1.438,198,1.747,199,2.139,200,1.295,201,2.431,202,3.936,203,3.264,204,3.426,205,1.509,206,2.257,207,2.257,208,2.257,209,2.257,210,2.785,211,2.257,212,3.426,213,2.257,214,2.257,215,3.801,216,1.497,217,3.801,218,2.257,219,2.257,220,2.257,221,2.785,222,2.785,223,2.785,224,2.257,225,2.257,226,3.426,227,1.438,228,1.438,229,1.438,230,1.438,231,1.235,232,3.831,233,1.747,234,1.747,235,1.747,236,1.747,237,1.747,238,1.747,239,1.747,240,1.747,241,1.747,242,1.747,243,0.624,244,1.235,245,1.699,246,1.235,247,0.631,248,1.747,249,0.861,250,3.382,251,2.257,252,1.509,253,1.747,254,1.747,255,1.096,256,1.747,257,2.741,258,1.747,259,1.747,260,1.747,261,2.375,262,2.097,263,2.391,264,1.083,265,1.747,266,2.257,267,2.741,268,1.747,269,0.774,270,1.747,271,1.747,272,1.747,273,1.747,274,0.861,275,1.937,276,1.747,277,1.747,278,1.747,279,1.747,280,1.438,281,2.708,282,1.666,283,1.096,284,1.747,285,2.257,286,4.162,287,3.831,288,2.942,289,1.747,290,1.384,291,1.35,292,1.664,293,2.257,294,1.747,295,2.785,296,2.741,297,1.438,298,2.257,299,2.785,300,1.438,301,1.747,302,1.747,303,2.785,304,2.741,305,1.438,306,1.438,307,1.438,308,1.747,309,1.747,310,1.438,311,1.438,312,1.096,313,1.747,314,1.747,315,1.438,316,1.747,317,1.438,318,1.215,319,1.747,320,1.438,321,1.747,322,1.438,323,1.747,324,1.747,325,1.438,326,1.747,327,1.438,328,1.438,329,1.438,330,2.257,331,1.438,332,1.747,333,1.747,334,1.438,335,1.747,336,1.438,337,1.937,338,1.747,339,1.747,340,1.438,341,1.747,342,1.438,343,1.35,344,1.747,345,1.438,346,1.747,347,1.438,348,1.937,349,1.747,350,1.747,351,1.438,352,1.747,353,1.438,354,2.257,355,1.747,356,1.438,357,1.747,358,1.438,359,1.937,360,0.465,361,1.844,362,1.862,363,0.811,364,1.235,365,1.747,366,1.747,367,1.747,368,1.747,369,1.083,370,1.747,371,1.747,372,1.747,373,1.235,374,1.747,375,2.741,376,1.747,377,1.083,378,0.376,379,1.747,380,1.747,381,1.438,382,1.235,383,3.382,384,1.747,385,1.747,386,1.438,387,2.257,388,1.747,389,1.438,390,0.962,391,1.937,392,1.235,393,1.747,394,1.747,395,1.747,396,1.747,397,1.438,398,1.937,399,1.235,400,1.747,401,1.747,402,1.747,403,0.861,404,1.083,405,0.631,406,1.747,407,2.741,408,1.747,409,1.747,410,1.747,411,1.699,412,1.747,413,1.438,414,1.438,415,1.747,416,1.747,417,1.747,418,1.747,419,1.747,420,1.747,421,1.747,422,1.747,423,1.747,424,1.747,425,1.747,426,1.747,427,3.382,428,1.438,429,1.747,430,1.235,431,1.747,432,1.747,433,1.747,434,3.382,435,1.747,436,1.747,437,1.747,438,1.235,439,1.747,440,1.747,441,0.962,442,1.747,443,1.747,444,0.631,445,1.438,446,1.438,447,1.438,448,2.109,449,1.235,450,1.438,451,1.438,452,2.257,453,2.257,454,3.426,455,2.257,456,4.404,457,1.438,458,1.438,459,2.257,460,2.785,461,3.556,462,1.438,463,0.962,464,1.438,465,1.438,466,1.083,467,3.382,468,1.35,469,1.937,470,0.809,471,1.438,472,1.666,473,1.235,474,1.438,475,1.747,476,1.438,477,1.747,478,1.35,479,1.699,480,1.747,481,3.154,482,3.154,483,2.741,484,1.747,485,0.962,486,2.741,487,1.747,488,1.747,489,1.747,490,1.747,491,1.747,492,1.747,493,1.438,494,1.747,495,1.747,496,0.376,497,3.382,498,1.747,499,1.438,500,1.747,501,1.438,502,0.166,503,1.747,504,2.741,505,0.59,506,1.35,507,0.991,508,2.741,509,1.747,510,1.747,511,2.741,512,2.741,513,1.747,514,1.747,515,1.235,516,0.962,517,0.571,518,2.741,519,2.741,520,1.747,521,2.741,522,2.741,523,2.741,524,2.741,525,0.516,526,1.438,527,1.747,528,1.747,529,1.747,530,1.747,531,1.747,532,1.747,533,1.747,534,1.747,535,1.747,536,1.747,537,1.747,538,1.747,539,1.747,540,1.747,541,1.747]],["t/2",[2,0.098,8,0.016,542,1.841,543,1.283]],["b/2",[1,0.019,2,0.217,3,0.019,4,0.031,5,0.019,6,0.026,7,0.039,8,0.034,9,0.019,10,0.019,11,0.019,12,0.019,13,0.019,14,0.03,15,0.019,16,0.249,17,0.019,18,0.019,19,0.019,20,0.019,21,0.072,22,0.157,23,0.019,24,0.088,25,0.072,26,0.019,27,0.019,28,0.379,29,0.032,30,0.019,31,0.019,32,0.019,33,0.019,34,0.019,35,0.019,36,0.026,37,0.03,38,0.019,39,0.019,40,0.025,41,0.019,42,0.019,43,0.059,44,0.059,45,0.059,46,0.08,47,0.1,48,0.1,49,0.1,50,0.08,51,0.155,60,1.074,61,0.112,85,2.27,89,0.82,93,0.713,94,0.871,95,0.155,96,0.871,97,1.464,99,0.461,108,0.971,120,1.615,121,0.871,122,1.842,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.647,148,1.464,149,2.1,154,1.842,158,2.1,159,0.389,161,2.551,162,1.643,163,0.877,164,0.446,165,1.228,166,1.636,167,1.995,168,2.446,169,1.464,173,0.877,174,1.196,176,1.196,196,1.692,199,1.842,200,1.176,201,3.064,205,1.931,243,0.446,245,1.842,247,1.074,262,1.842,283,1.188,359,2.1,360,1.079,378,0.991,392,3.257,448,1.636,451,2.446,463,1.636,468,1.464,476,2.446,496,0.871,502,0.283,505,0.639,525,0.877,542,2.1,543,1.995,544,2.971,545,2.971,546,2.971,547,2.971,548,2.971,549,2.511,550,2.971,551,1.795,552,1.079,553,1.795,554,4.05,555,2.971,556,5.178,557,3.334,558,1.617,559,2.511,560,1.619,561,2.863,562,2.446,563,2.1,564,1.079,565,1.464,566,1.074,567,2.971,568,2.511,569,4.05,570,2.446,571,2.446,572,2.1,573,2.971,574,1.842,575,2.971,576,0.792,577,2.724,578,2.446,579,4.263,580,2.971,581,2.971,582,2.446,583,2.971,584,4.05,585,3.793,586,2.971,587,2.971,588,2.971,589,5.846,590,2.971,591,2.971,592,2.971,593,2.971,594,2.971,595,2.971,596,2.971,597,2.971,598,2.971,599,2.971,600,2.971,601,2.971,602,2.971,603,2.971,604,2.971,605,2.971,606,2.971,607,3.498,608,2.971,609,2.971,610,2.971,611,5.343,612,2.971,613,2.863,614,2.971,615,2.971,616,2.971,617,1.636,618,2.971,619,2.971,620,2.971,621,1.842,622,4.05,623,1.317,624,2.971,625,2.971,626,2.446,627,4.502,628,1.636,629,1.464,630,1.842,631,1.317,632,2.971,633,2.971,634,2.971,635,1.074,636,2.446,637,1.842,638,4.05,639,3.334,640,2.446,641,2.971,642,2.1,643,1.464,644,2.971,645,4.05,646,2.971,647,4.05,648,4.05,649,4.05,650,4.05,651,4.05,652,4.05,653,4.05,654,4.05,655,2.446,656,4.05,657,2.971,658,2.971,659,2.971,660,2.971,661,2.971,662,2.971,663,2.971,664,2.971,665,2.971,666,4.05,667,2.971,668,2.971,669,2.971,670,2.971,671,2.971,672,2.971,673,2.971,674,2.971,675,2.971,676,2.971,677,2.971,678,2.971]],["t/3",[2,0.098,11,0.016,12,0.016,679,0.941]],["b/3",[1,0.033,2,0.217,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.017,9,0.017,10,0.017,11,0.035,12,0.037,13,0.017,14,0.017,15,0.023,16,0.235,17,0.017,18,0.017,19,0.017,20,0.017,21,0.067,22,0.14,23,0.017,24,0.077,25,0.067,26,0.017,27,0.017,28,0.369,29,0.017,30,0.017,31,0.017,32,0.017,33,0.017,34,0.017,35,0.017,36,0.024,37,0.028,38,0.017,39,0.017,40,0.017,41,0.017,42,0.017,43,0.053,44,0.053,45,0.053,46,0.074,47,0.089,48,0.089,49,0.089,50,0.053,51,0.089,52,0.807,59,1.65,60,1.958,61,0.107,65,3.09,67,3.579,69,0.9,74,1.882,80,3.579,84,1.394,85,1.312,87,1.158,89,0.747,92,1.18,93,0.9,94,0.935,95,0.089,96,0.573,99,0.343,100,1.312,103,1,108,0.638,112,1.882,113,2.327,114,0.573,121,0.807,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.024,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,159,0.675,161,1.849,162,1.108,165,0.709,166,1.465,174,1.284,176,0.786,179,2.653,180,2.653,181,2.653,182,3.65,183,2.653,184,1.356,185,1.849,186,2.653,187,3.751,188,3.65,189,2.653,190,2.653,191,2.653,192,2.327,195,1.926,200,1.29,201,2.983,205,0.87,243,0.563,266,2.192,275,1.882,290,1.356,360,1,363,1.272,377,2.327,378,0.935,391,3.073,405,1.356,468,1.312,470,0.786,472,1.312,473,1.882,485,1.465,493,3.09,502,0.254,505,0.935,506,1.849,507,0.962,525,0.786,558,0.87,559,1.65,560,1.501,561,1.882,563,1.882,564,1,565,0.962,576,0.709,582,3.09,607,3.518,617,1.465,679,2.141,680,3.753,681,2.662,682,2.662,683,2.662,684,2.662,685,2.662,686,2.662,687,2.662,688,2.662,689,2.192,690,1.312,691,2.662,692,1.18,693,1.108,694,3.359,695,4.72,696,1.465,697,2.34,698,2.653,699,2.662,700,3.83,701,2.092,702,2.662,703,3.753,704,2.653,705,1.501,706,1,707,1.795,708,1.064,709,2.662,710,2.662,711,1.882,712,2.662,713,2.662,714,2.653,715,2.192,716,3.09,717,2.662,718,2.662,719,1.882,720,3.753,721,2.192,722,3.073,723,3.201,724,2.662,725,3.09,726,3.579,727,2.695,728,2.192,729,2.662,730,2.662,731,2.662,732,2.662,733,2.662,734,2.662,735,1.18,736,2.662,737,2.662,738,1.65,739,2.662,740,4.72,741,4.72,742,4.72,743,4.72,744,3.886,745,2.192,746,2.662,747,2.662,748,2.192,749,1.882,750,0.87,751,2.192,752,1.465,753,2.662,754,2.662,755,2.74,756,2.662,757,3.579,758,1.312,759,2.662,760,2.662,761,2.327,762,2.662,763,3.753,764,2.662,765,2.662,766,2.662,767,2.662,768,2.662,769,2.662,770,2.192,771,2.662,772,2.066,773,2.662,774,2.662,775,2.662,776,2.662,777,2.192,778,2.662,779,2.653,780,2.192,781,4.097,782,2.192,783,3.09,784,2.192,785,3.753,786,0.87,787,2.662,788,1.882,789,2.192,790,1.882,791,1.65,792,2.662,793,2.192,794,2.662,795,3.09,796,2.662,797,3.09,798,2.192,799,2.662,800,2.662]],["t/4",[38,0.025]],["b/4",[1,0.027,2,0.195,3,0.021,4,0.021,5,0.015,6,0.015,7,0.039,8,0.029,9,0.015,10,0.015,11,0.014,12,0.014,13,0.015,14,0.026,15,0.014,16,0.321,17,0.032,18,0.031,19,0.032,20,0.035,21,0.06,22,0.138,23,0.014,24,0.092,25,0.087,26,0.015,27,0.015,28,0.354,29,0.027,30,0.021,31,0.029,32,0.014,33,0.021,34,0.014,35,0.025,36,0.028,37,0.015,38,0.025,39,0.014,40,0.014,41,0.015,42,0.014,43,0.045,44,0.045,45,0.045,46,0.066,47,0.077,48,0.077,49,0.077,50,0.045,51,0.077,52,1.054,57,1.215,60,0.826,61,0.109,69,1.055,79,1.126,81,1.615,84,0.675,85,1.126,89,0.66,93,0.548,94,0.946,95,0.158,96,0.723,97,1.215,99,0.18,101,0.439,103,0.609,107,0.641,117,1.126,121,0.491,123,0.015,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.015,130,0.015,131,0.015,132,0.015,133,0.015,134,0.015,135,0.015,137,0.299,144,1.013,148,0.826,151,1.063,157,1.881,159,0.44,162,0.675,163,0.675,164,0.343,169,1.126,172,1.656,175,0.675,194,0.766,200,1.054,201,2.196,216,0.609,243,0.703,247,0.826,249,1.126,255,1.595,269,1.768,274,1.965,312,0.914,318,1.013,343,1.126,361,1.013,362,1.851,363,0.806,369,1.417,404,1.417,405,1.215,438,1.615,444,0.826,445,1.881,447,2.768,448,1.258,466,1.417,496,0.491,499,1.881,502,0.32,505,0.946,507,0.826,517,0.747,525,0.675,526,1.881,552,0.609,553,1.013,563,1.615,564,0.896,576,1.172,623,1.013,629,1.965,631,1.013,635,1.215,690,1.965,693,1.178,697,1.595,706,0.609,707,1.536,708,1.96,750,1.099,758,1.126,797,1.881,801,2.285,802,2.285,803,2.285,804,2.497,805,2.285,806,3.362,807,2.285,808,2.376,809,2.285,810,2.285,811,0.675,812,3.362,813,2.285,814,1.615,815,2.196,816,3.362,817,1.615,818,1.615,819,2.376,820,2.285,821,3.362,822,0.675,823,0.467,824,0.694,825,1.881,826,1.247,827,1.881,828,1.417,829,1.881,830,2.285,831,2.285,832,2.285,833,2.285,834,2.285,835,2.285,836,2.285,837,2.285,838,2.285,839,2.285,840,2.285,841,2.285,842,2.285,843,3.362,844,2.285,845,2.285,846,2.285,847,4.687,848,2.285,849,2.285,850,3.362,851,3.989,852,2.285,853,3.362,854,2.285,855,2.285,856,2.285,857,2.285,858,2.285,859,2.285,860,1.881,861,2.285,862,2.285,863,2.285,864,2.285,865,2.285,866,2.285,867,2.285,868,1.441,869,1.881,870,2.285,871,2.285,872,2.285,873,2.285,874,2.285,875,0.973,876,1.258,877,2.285,878,1.656,879,1.258,880,1.656,881,1.615,882,3.989,883,2.285,884,2.285,885,2.285,886,2.285,887,2.285,888,0.826,889,1.656,890,1.881,891,1.008,892,1.881,893,2.285,894,2.285,895,2.285,896,2.285,897,2.285,898,0.896,899,0.826,900,1.881,901,1.013,902,2.285,903,2.285,904,2.077,905,2.285,906,1.759,907,2.285,908,2.285,909,3.989,910,3.362,911,1.615,912,2.196,913,1.126,914,1.881,915,1.881,916,2.768,917,1.099,918,1.881,919,1.417,920,1.881,921,2.285,922,2.285,923,2.285,924,2.285,925,1.881,926,3.989,927,1.417,928,1.881,929,2.285,930,2.285,931,1.258,932,1.126,933,2.285,934,2.285,935,2.173,936,3.362,937,1.344,938,1.615,939,2.285,940,1.595,941,2.309,942,4.687,943,1.126,944,1.615,945,2.285,946,2.376,947,2.285,948,1.615,949,2.084,950,2.285,951,2.285,952,1.656,953,2.084,954,2.768,955,1.851,956,2.768,957,2.768,958,2.768,959,1.249,960,2.084,961,2.285,962,1.881,963,3.109,964,3.142,965,2.376,966,2.819,967,2.376,968,1.615,969,2.285,970,3.465,971,3.362,972,2.755,973,3.604,974,3.362,975,3.362,976,3.362,977,1.344,978,2.285,979,2.285,980,2.376,981,2.768,982,1.881,983,2.285,984,2.285,985,2.285,986,1.881,987,3.362,988,3.362,989,3.362,990,1.881,991,1.417,992,3.989,993,1.881,994,2.819,995,1.615,996,2.285,997,4.398,998,2.285,999,1.417,1000,1.258,1001,2.285,1002,3.362,1003,2.285,1004,1.013,1005,2.285,1006,1.881,1007,2.285,1008,1.881,1009,1.881,1010,2.376,1011,3.362,1012,1.881,1013,2.285,1014,1.881,1015,2.285,1016,0.609,1017,2.285,1018,1.881,1019,1.881,1020,2.819,1021,2.285,1022,2.768,1023,2.285,1024,1.615,1025,1.881,1026,3.362,1027,2.768,1028,1.881,1029,1.881,1030,1.126,1031,1.881,1032,2.376,1033,2.285,1034,2.285,1035,3.621,1036,1.417,1037,2.285,1038,1.615,1039,3.362,1040,1.881,1041,2.285,1042,1.881,1043,1.013,1044,2.084,1045,1.881,1046,2.285,1047,2.285,1048,3.362,1049,2.285,1050,2.285,1051,3.362,1052,2.768,1053,2.285,1054,2.285,1055,1.258,1056,3.989,1057,1.013,1058,2.285,1059,2.285,1060,2.768,1061,3.989,1062,2.285,1063,1.881,1064,1.615,1065,2.376,1066,3.362,1067,1.881,1068,1.013,1069,1.615,1070,2.285,1071,1.615,1072,2.285,1073,2.285,1074,2.285,1075,2.285,1076,4.687,1077,3.362,1078,3.362,1079,3.362,1080,1.881,1081,0.896,1082,2.285,1083,1.851,1084,0.826,1085,2.285,1086,2.376,1087,2.285,1088,0.826,1089,2.285,1090,2.285,1091,2.285,1092,2.285,1093,2.285,1094,1.615,1095,2.285,1096,2.285,1097,1.417,1098,1.595,1099,1.417,1100,2.376,1101,1.851,1102,1.851,1103,1.615,1104,1.881,1105,0.747,1106,0.914,1107,2.285,1108,0.914,1109,1.615,1110,2.285,1111,2.285,1112,1.615,1113,1.615,1114,1.258,1115,1.126,1116,1.851,1117,1.615,1118,1.615,1119,2.285,1120,1.49,1121,0.826,1122,1.013,1123,1.344,1124,2.285,1125,1.615,1126,2.285,1127,3.362,1128,2.285,1129,1.881,1130,2.285,1131,1.258,1132,2.285]],["t/5",[40,0.021,1133,2.403]],["b/5",[1,0.017,2,0.178,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.027,9,0.017,10,0.017,11,0.017,12,0.017,13,0.017,14,0.017,15,0.017,16,0.28,17,0.017,18,0.017,19,0.017,20,0.035,21,0.067,22,0.133,23,0.017,24,0.084,25,0.067,26,0.017,27,0.017,28,0.369,29,0.032,30,0.017,31,0.023,32,0.017,33,0.017,34,0.017,35,0.017,36,0.024,37,0.024,38,0.017,39,0.017,40,0.027,41,0.032,42,0.017,43,0.053,44,0.053,45,0.053,46,0.075,47,0.09,48,0.09,49,0.09,50,0.053,51,0.09,57,0.968,61,0.107,62,1.893,79,1.319,84,0.791,92,1.187,94,0.576,95,0.182,99,0.344,107,0.35,114,0.811,122,2.336,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,137,0.35,159,0.493,162,1.288,163,0.791,164,0.402,167,1.319,172,1.319,173,0.791,175,0.791,194,0.724,200,1.073,205,1.63,216,1.329,251,2.205,282,1.319,312,1.071,378,0.576,405,0.968,414,2.205,441,1.474,496,1.113,501,2.205,505,1.073,507,0.968,549,1.66,566,1.71,576,1.162,628,1.474,631,1.187,637,1.66,696,1.474,706,0.714,707,1.528,708,1.507,714,1.893,735,1.187,745,2.205,750,1.425,758,1.857,782,2.205,786,1.232,811,0.791,818,1.893,822,0.791,823,0.493,824,0.652,825,2.205,826,1.323,827,2.205,828,1.66,829,2.205,869,3.103,876,1.474,888,0.968,891,0.811,898,1.162,899,0.968,900,2.205,901,1.187,906,1.071,917,1.232,938,1.893,948,1.893,960,1.66,1008,2.205,1016,0.714,1035,2.205,1055,1.474,1069,2.664,1088,1.362,1106,1.507,1120,1.67,1121,1.362,1122,1.67,1123,1.071,1125,2.664,1133,3.526,1134,2.678,1135,2.678,1136,2.678,1137,2.678,1138,2.678,1139,2.678,1140,2.678,1141,1.66,1142,1.187,1143,0.714,1144,2.678,1145,2.678,1146,4.733,1147,2.678,1148,3.769,1149,2.678,1150,2.678,1151,2.678,1152,2.678,1153,2.678,1154,2.678,1155,2.678,1156,2.678,1157,3.103,1158,2.678,1159,2.678,1160,3.769,1161,2.678,1162,2.678,1163,2.678,1164,2.678,1165,2.678,1166,2.678,1167,1.474,1168,2.678,1169,2.678,1170,3.769,1171,2.205,1172,2.678,1173,2.205,1174,2.205,1175,2.678,1176,2.664,1177,2.678,1178,2.678,1179,4.361,1180,2.678,1181,2.678,1182,2.678,1183,2.678,1184,3.083,1185,2.075,1186,3.769,1187,2.678,1188,4.361,1189,4.361,1190,2.678,1191,2.678,1192,2.678,1193,2.336,1194,2.678,1195,2.205,1196,2.678,1197,2.678,1198,2.678,1199,2.678,1200,2.678,1201,2.678,1202,2.678,1203,2.678,1204,2.678,1205,2.678,1206,2.678,1207,2.678,1208,2.678,1209,1.892,1210,2.678,1211,2.678,1212,2.678,1213,2.678,1214,2.678,1215,2.678,1216,2.678,1217,2.678,1218,1.474,1219,2.678,1220,2.678,1221,1.893,1222,2.678,1223,2.664,1224,2.678,1225,2.678,1226,2.678,1227,2.678,1228,2.205,1229,1.187,1230,2.205,1231,1.893,1232,2.205,1233,3.769,1234,3.769,1235,2.678,1236,2.678,1237,1.893,1238,3.59,1239,1.071,1240,3.083,1241,5.174,1242,2.678,1243,2.678,1244,3.769,1245,1.893,1246,3.103,1247,2.678,1248,2.678,1249,2.678,1250,0.968,1251,2.678,1252,2.205,1253,2.678,1254,2.205,1255,2.678,1256,2.678,1257,2.678,1258,2.678,1259,2.678,1260,2.678,1261,2.205,1262,2.678,1263,2.678,1264,2.678,1265,2.678,1266,2.678,1267,2.678,1268,2.678,1269,2.678,1270,2.678,1271,2.678,1272,2.678,1273,2.678,1274,2.678,1275,2.678,1276,2.678,1277,2.678,1278,2.678,1279,2.678,1280,2.678,1281,2.678,1282,2.678,1283,2.678,1284,2.678,1285,2.678,1286,2.678,1287,2.678,1288,2.678,1289,2.678,1290,2.678,1291,2.678,1292,2.678,1293,2.678,1294,2.678,1295,2.678,1296,2.678,1297,2.678,1298,2.678,1299,2.678,1300,3.103,1301,2.678,1302,2.678,1303,2.678,1304,2.678,1305,2.678,1306,2.678,1307,2.678,1308,2.678,1309,2.678,1310,2.678,1311,2.678,1312,2.678,1313,2.678,1314,2.678,1315,2.678,1316,2.678,1317,2.678,1318,2.678,1319,2.678,1320,2.678,1321,2.678,1322,2.678,1323,2.678,1324,2.678,1325,2.678,1326,2.678,1327,2.678,1328,2.678,1329,2.678,1330,2.678,1331,2.678,1332,2.678,1333,2.678,1334,2.678,1335,2.678,1336,2.678,1337,2.678,1338,2.678,1339,2.678,1340,2.678,1341,2.678,1342,2.678,1343,2.678,1344,2.678,1345,2.678,1346,2.678,1347,2.678,1348,2.678,1349,2.678,1350,2.678,1351,1.232,1352,1.288,1353,2.678,1354,2.678,1355,1.66,1356,1.87,1357,2.678,1358,2.205,1359,1.893,1360,1.744,1361,2.678,1362,2.678,1363,2.678,1364,2.336,1365,2.205,1366,3.769,1367,1.893,1368,3.103,1369,2.678,1370,3.103,1371,3.769,1372,2.205,1373,3.769,1374,3.103,1375,2.678,1376,3.769,1377,3.083,1378,3.769,1379,2.205,1380,2.678,1381,1.66,1382,1.893,1383,1.474,1384,1.66,1385,2.205,1386,3.103,1387,2.336,1388,2.678,1389,3.769,1390,3.769,1391,3.769,1392,2.678,1393,2.336,1394,2.205,1395,2.678,1396,2.678,1397,2.075,1398,1.893,1399,2.205,1400,2.678,1401,2.678,1402,2.678,1403,2.678,1404,3.769,1405,2.205,1406,2.678,1407,1.893,1408,2.075,1409,2.678,1410,2.075,1411,3.769,1412,2.678,1413,2.664,1414,2.678,1415,2.678,1416,3.769,1417,2.336,1418,2.678,1419,2.678,1420,2.678,1421,0.875,1422,2.678,1423,3.769,1424,2.678,1425,2.678,1426,2.664,1427,2.678,1428,1.66,1429,2.678,1430,2.678,1431,2.678,1432,2.678,1433,2.678,1434,2.678,1435,2.205,1436,2.678,1437,1.319]],["t/6",[2,0.111,42,0.018,1438,2.428]],["b/6",[0,2.546,1,0.026,2,0.217,3,0.026,4,0.029,5,0.016,6,0.023,7,0.039,8,0.03,9,0.016,10,0.016,11,0.022,12,0.026,13,0.027,14,0.016,15,0.016,16,0.289,17,0.016,18,0.016,19,0.016,20,0.026,21,0.064,22,0.119,23,0.016,24,0.086,25,0.064,26,0.016,27,0.016,28,0.363,29,0.022,30,0.016,31,0.016,32,0.016,33,0.016,34,0.016,35,0.029,36,0.023,37,0.023,38,0.016,39,0.016,40,0.016,41,0.016,42,0.026,43,0.05,44,0.05,45,0.05,46,0.071,47,0.084,48,0.084,49,0.084,50,0.05,51,0.084,52,0.775,57,0.908,61,0.1,69,0.603,75,1.558,76,2.069,84,0.742,87,0.67,88,1.114,89,0.377,93,0.603,95,0.19,96,0.989,97,0.908,100,1.238,104,1.238,107,0.551,108,0.864,109,1.983,114,0.775,117,1.238,120,1.605,121,1.148,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.329,144,1.114,148,0.908,151,0.67,156,2.069,162,0.742,163,0.742,164,0.54,173,0.742,174,1.576,176,1.358,185,2.266,194,0.483,195,2.038,196,1.376,216,1.39,231,1.776,243,0.54,252,1.383,262,1.558,275,3.581,281,2.546,282,1.238,292,1.005,359,1.776,360,0.67,363,1.215,378,0.541,387,2.069,390,1.383,403,1.775,438,2.976,444,1.302,470,1.064,472,1.238,478,1.238,496,0.541,502,0.239,505,1.122,525,1.438,543,1.775,560,1.44,564,0.67,565,1.302,570,2.069,574,1.558,576,0.67,577,1.383,579,2.069,627,2.069,628,1.383,629,2.075,636,2.069,639,2.069,640,2.069,642,1.776,655,2.069,679,0.908,689,2.069,693,1.064,697,1.947,700,2.546,705,1.44,707,1.438,716,2.069,721,2.069,722,2.546,725,2.069,735,1.596,738,1.558,750,1.177,755,1.383,772,1.383,777,2.069,779,2.976,781,3.467,784,2.069,786,0.821,789,2.966,790,1.776,798,3.786,811,0.742,823,0.239,824,0.602,826,1.01,868,0.908,876,1.383,891,1.122,892,4.008,898,1.225,911,1.776,937,1.005,938,1.776,941,1.775,959,1.225,991,2.233,1000,2.318,1036,1.558,1042,2.069,1055,2.318,1057,1.114,1064,1.776,1065,1.776,1068,1.114,1081,0.67,1084,1.522,1088,0.908,1097,1.558,1098,1.44,1105,1.376,1108,1.005,1120,1.114,1121,0.908,1122,1.114,1167,1.383,1173,2.069,1176,1.776,1184,2.546,1209,1.005,1231,2.546,1250,0.908,1254,2.069,1261,2.069,1351,1.376,1359,1.776,1377,2.546,1382,2.546,1407,1.776,1408,1.983,1410,1.383,1438,2.966,1439,2.069,1440,2.513,1441,2.513,1442,2.513,1443,2.851,1444,2.513,1445,2.513,1446,2.069,1447,2.069,1448,2.513,1449,2.966,1450,2.069,1451,2.513,1452,2.966,1453,3.602,1454,3.602,1455,2.513,1456,2.513,1457,2.513,1458,3.602,1459,3.602,1460,4.211,1461,4.869,1462,4.211,1463,4.211,1464,4.599,1465,4.211,1466,4.211,1467,4.211,1468,4.211,1469,4.211,1470,4.599,1471,4.599,1472,4.599,1473,4.599,1474,4.599,1475,4.211,1476,4.211,1477,4.599,1478,4.599,1479,4.211,1480,3.602,1481,3.602,1482,3.602,1483,4.211,1484,4.211,1485,2.513,1486,2.513,1487,2.513,1488,3.602,1489,2.513,1490,2.513,1491,2.513,1492,2.069,1493,2.966,1494,2.513,1495,2.513,1496,2.513,1497,2.513,1498,3.602,1499,2.513,1500,2.513,1501,3.602,1502,2.069,1503,2.513,1504,2.513,1505,2.513,1506,2.069,1507,3.786,1508,2.513,1509,2.513,1510,1.776,1511,3.602,1512,5.338,1513,2.513,1514,2.546,1515,2.513,1516,2.069,1517,2.069,1518,1.776,1519,2.546,1520,3.602,1521,4.879,1522,4.869,1523,2.513,1524,4.869,1525,3.602,1526,2.513,1527,2.513,1528,2.513,1529,2.513,1530,2.513,1531,2.513,1532,1.776,1533,3.602,1534,2.546,1535,3.602,1536,2.851,1537,2.513,1538,2.513,1539,3.602,1540,2.513,1541,2.513,1542,2.513,1543,1.776,1544,3.467,1545,1.983,1546,1.558,1547,1.776,1548,2.513,1549,2.233,1550,2.069,1551,2.513,1552,1.776,1553,3.602,1554,2.513,1555,4.211,1556,2.513,1557,2.513,1558,2.069,1559,2.069,1560,2.513,1561,2.513,1562,2.233,1563,2.513,1564,2.513,1565,2.513,1566,2.513,1567,2.513,1568,2.513,1569,2.513,1570,2.513,1571,2.513,1572,2.513,1573,2.513,1574,3.602,1575,2.513,1576,2.513,1577,2.513,1578,2.513,1579,2.513,1580,2.513,1581,2.513,1582,2.513,1583,2.513,1584,2.513,1585,1.776,1586,2.513,1587,2.513,1588,2.266,1589,2.513,1590,2.513,1591,2.513,1592,2.513,1593,2.069,1594,2.513,1595,2.513,1596,2.513,1597,2.513,1598,2.513,1599,2.513,1600,2.069,1601,2.069,1602,1.44,1603,2.976,1604,2.513,1605,2.233,1606,2.966,1607,1.983,1608,2.966,1609,2.233,1610,2.513,1611,4.296,1612,2.513,1613,4.394,1614,2.513,1615,1.177,1616,1.238,1617,2.513,1618,2.546,1619,1.558,1620,2.513,1621,2.513,1622,2.069,1623,1.776,1624,2.513,1625,2.976,1626,2.513,1627,1.238,1628,2.513,1629,1.983,1630,1.776,1631,2.069,1632,4.171,1633,2.069,1634,2.966,1635,3.602,1636,3.602,1637,2.513,1638,1.383,1639,1.383,1640,2.513,1641,2.513,1642,2.513,1643,2.069,1644,2.513,1645,2.513,1646,2.513,1647,2.513,1648,2.513,1649,2.513,1650,2.513,1651,2.513,1652,2.513,1653,1.776,1654,2.069,1655,1.776,1656,2.513,1657,2.546,1658,2.513,1659,2.513,1660,2.513,1661,3.602,1662,2.513,1663,2.513,1664,2.069,1665,1.558,1666,1.776,1667,2.513,1668,2.513,1669,2.513,1670,2.513,1671,2.513,1672,2.513,1673,2.513]],["t/7",[39,0.025]],["b/7",[1,0.016,2,0.217,3,0.022,4,0.026,5,0.016,6,0.016,7,0.039,8,0.03,9,0.016,10,0.016,11,0.03,12,0.03,13,0.027,14,0.023,15,0.016,16,0.274,17,0.022,18,0.016,19,0.016,20,0.022,21,0.064,22,0.147,23,0.016,24,0.082,25,0.064,26,0.016,27,0.016,28,0.363,29,0.029,30,0.022,31,0.026,32,0.016,33,0.022,34,0.022,35,0.033,36,0.027,37,0.023,38,0.016,39,0.033,40,0.016,41,0.016,42,0.016,43,0.071,44,0.05,45,0.05,46,0.071,47,0.084,48,0.121,49,0.084,50,0.05,51,0.084,61,0.103,69,0.603,81,1.776,84,1.243,87,0.67,88,1.114,92,1.114,95,0.188,96,0.775,97,1.662,99,0.362,100,1.238,101,0.809,107,0.683,108,1.01,113,1.558,114,0.906,120,0.742,121,0.906,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.023,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.329,148,1.302,151,1.122,153,1.776,162,1.243,163,1.243,164,0.632,170,1.776,174,1.064,175,1.064,176,1.243,194,0.483,196,0.821,199,1.005,200,0.775,216,0.96,243,0.69,246,1.776,247,0.908,269,1.596,274,1.238,282,1.238,283,1.005,290,1.302,291,1.775,292,1.44,312,1.44,318,1.114,337,1.776,343,1.238,348,2.546,363,1.251,378,0.775,386,2.069,390,1.983,399,1.776,444,0.908,496,0.541,502,0.343,517,0.821,525,1.064,543,1.238,551,1.114,552,1.297,553,1.114,557,2.069,558,1.177,564,0.96,565,0.908,571,2.069,572,1.776,576,1.35,577,1.383,617,1.983,630,1.558,631,1.114,642,1.776,679,1.302,693,1.243,696,2.872,697,1.839,700,3.251,704,1.776,705,1.44,707,1.704,711,1.776,719,1.776,722,1.776,723,1.558,738,1.558,750,1.177,786,1.503,791,1.558,808,2.546,811,1.064,823,0.239,824,0.329,868,1.302,875,0.483,876,2.318,878,1.238,880,1.376,888,0.908,891,1.186,898,1.35,901,1.114,917,1.376,931,1.383,932,1.775,935,1.596,943,1.238,959,0.96,972,1.775,991,1.558,999,1.558,1004,1.114,1016,0.67,1030,1.238,1043,1.866,1045,2.069,1055,1.383,1057,1.114,1080,2.069,1081,0.67,1098,1.005,1105,0.821,1143,0.67,1167,1.383,1184,1.776,1223,1.776,1229,1.114,1230,2.069,1237,1.776,1351,1.376,1356,1.302,1360,1.005,1377,1.776,1383,1.383,1397,1.383,1408,1.383,1410,1.983,1421,0.821,1428,1.558,1439,2.069,1443,2.61,1446,2.069,1450,2.069,1452,2.069,1493,2.069,1506,2.069,1516,2.069,1517,2.069,1518,1.776,1519,1.776,1521,2.069,1534,1.776,1536,2.233,1545,1.383,1546,2.233,1549,1.558,1588,1.238,1600,2.069,1602,1.947,1603,2.976,1605,1.558,1606,2.069,1607,1.383,1608,2.069,1609,1.558,1611,4.394,1613,4.296,1615,1.503,1618,1.776,1619,1.558,1622,2.069,1623,2.546,1627,1.775,1629,2.318,1632,4.394,1634,2.966,1639,1.383,1654,2.069,1674,2.513,1675,2.513,1676,2.513,1677,2.513,1678,2.513,1679,2.513,1680,2.513,1681,2.513,1682,2.513,1683,2.513,1684,2.513,1685,2.069,1686,2.513,1687,2.513,1688,2.513,1689,2.513,1690,2.513,1691,4.211,1692,4.211,1693,4.211,1694,5.067,1695,4.211,1696,4.599,1697,4.211,1698,5.067,1699,4.211,1700,4.211,1701,4.211,1702,4.211,1703,4.211,1704,4.211,1705,4.211,1706,4.211,1707,4.599,1708,2.513,1709,2.513,1710,3.602,1711,2.069,1712,2.513,1713,2.069,1714,2.513,1715,2.069,1716,2.069,1717,2.069,1718,2.069,1719,2.069,1720,2.069,1721,2.069,1722,2.513,1723,2.513,1724,2.513,1725,2.513,1726,2.513,1727,2.513,1728,2.513,1729,2.069,1730,2.513,1731,2.966,1732,1.383,1733,2.513,1734,2.513,1735,2.069,1736,2.069,1737,1.776,1738,2.513,1739,2.513,1740,2.513,1741,2.513,1742,2.513,1743,2.513,1744,2.513,1745,2.513,1746,2.513,1747,2.513,1748,2.513,1749,2.513,1750,2.513,1751,2.513,1752,2.513,1753,2.513,1754,2.513,1755,2.513,1756,2.513,1757,2.513,1758,2.513,1759,2.513,1760,2.513,1761,2.513,1762,2.513,1763,2.513,1764,2.513,1765,2.513,1766,2.513,1767,2.513,1768,2.513,1769,1.776,1770,2.513,1771,1.776,1772,2.513,1773,1.775,1774,2.513,1775,2.513,1776,2.069,1777,1.776,1778,2.546,1779,2.513,1780,2.513,1781,2.513,1782,2.513,1783,2.513,1784,2.513,1785,2.513,1786,2.069,1787,2.966,1788,2.513,1789,2.513,1790,1.114,1791,2.513,1792,3.602,1793,4.211,1794,3.602,1795,4.211,1796,2.513,1797,2.513,1798,2.513,1799,2.513,1800,2.513,1801,2.513,1802,4.211,1803,2.069,1804,2.513,1805,2.513,1806,2.513,1807,1.383,1808,2.513,1809,3.602,1810,2.513,1811,3.602,1812,3.602,1813,2.513,1814,2.513,1815,3.602,1816,2.513,1817,3.602,1818,2.069,1819,2.513,1820,2.513,1821,2.513,1822,1.776,1823,2.069,1824,2.851,1825,2.966,1826,2.069,1827,1.776,1828,2.513,1829,2.513,1830,2.513,1831,2.966,1832,2.069,1833,2.513,1834,2.513,1835,2.513,1836,1.238,1837,2.513,1838,1.114,1839,2.513,1840,2.513,1841,2.513,1842,2.513,1843,2.069,1844,2.513,1845,2.513,1846,4.211,1847,1.866,1848,2.069,1849,2.513,1850,2.513,1851,2.513,1852,2.513,1853,2.513,1854,2.069,1855,2.069,1856,2.966,1857,2.069,1858,2.513,1859,2.513,1860,2.513,1861,2.513,1862,2.513,1863,1.776,1864,2.513,1865,2.513,1866,2.513,1867,2.513,1868,2.513,1869,2.513,1870,2.513,1871,2.513,1872,2.513,1873,1.383,1874,2.513]],["t/8",[15,0.018,16,0.16,1004,1.307]],["b/8",[1,0.019,2,0.212,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.035,9,0.019,10,0.019,11,0.035,12,0.036,13,0.019,14,0.019,15,0.029,16,0.321,17,0.025,18,0.019,19,0.019,20,0.019,21,0.072,22,0.139,23,0.019,24,0.088,25,0.072,26,0.019,27,0.019,28,0.379,29,0.025,30,0.019,31,0.025,32,0.019,33,0.019,34,0.019,35,0.019,36,0.03,37,0.026,38,0.019,39,0.019,40,0.019,41,0.019,42,0.019,43,0.059,44,0.059,45,0.059,46,0.08,47,0.1,48,0.1,49,0.1,50,0.059,51,0.1,61,0.108,87,0.793,89,0.777,93,0.714,94,1.114,95,0.155,96,0.872,97,1.465,99,0.363,101,0.572,102,2.104,103,1.08,109,1.639,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.389,159,0.603,165,0.793,173,0.879,174,1.53,175,0.879,176,1.53,194,0.572,200,1.258,243,0.777,246,2.866,247,1.076,283,1.621,360,1.08,369,1.845,377,1.845,378,1.065,398,2.104,441,1.639,448,2.232,449,2.104,450,2.45,452,3.797,453,3.797,454,4.266,455,4.401,456,4.266,457,3.797,458,3.797,459,4.077,460,4.401,461,3.26,462,2.45,463,1.639,464,2.45,465,2.45,466,1.845,470,0.879,472,1.466,479,1.845,502,0.284,505,0.64,507,1.076,558,1.618,564,0.793,626,2.45,643,1.466,679,1.667,693,0.879,701,1.797,706,0.793,707,1.715,708,1.19,711,2.104,723,1.845,727,1.845,752,1.639,755,1.639,772,1.639,795,2.45,818,2.104,823,0.439,824,0.648,828,2.514,868,1.667,875,0.572,878,2.272,880,0.973,890,2.45,911,2.104,912,1.639,913,1.998,917,0.973,937,1.19,943,1.466,952,1.466,953,2.514,955,1.639,959,1.229,960,1.845,977,1.19,1004,1.319,1010,2.866,1030,1.466,1043,1.319,1057,1.319,1098,1.621,1105,0.973,1133,2.104,1167,1.639,1176,2.104,1193,1.845,1229,2.195,1351,1.325,1519,2.866,1602,1.19,1603,2.104,1607,1.639,1685,2.45,1778,2.104,1875,2.977,1876,2.977,1877,2.977,1878,2.977,1879,2.977,1880,2.977,1881,2.45,1882,3.338,1883,2.104,1884,4.055,1885,2.977,1886,2.977,1887,2.977,1888,2.977,1889,3.338,1890,2.45,1891,4.055,1892,2.977,1893,4.055,1894,2.977,1895,2.104,1896,2.866,1897,1.639,1898,2.866,1899,2.977,1900,2.45,1901,2.977,1902,1.19,1903,1.639,1904,2.977,1905,2.977,1906,2.977,1907,2.977,1908,2.977,1909,4.157,1910,2.977,1911,4.612,1912,2.977,1913,3.338,1914,4.952,1915,2.45,1916,2.977,1917,2.977,1918,2.977,1919,1.845,1920,2.977,1921,2.977,1922,4.055,1923,2.977,1924,2.977,1925,2.977,1926,2.45,1927,2.977,1928,1.845,1929,2.977,1930,2.45,1931,2.977,1932,3.338,1933,3.338,1934,2.977,1935,4.055,1936,2.977,1937,2.977,1938,2.977,1939,2.977,1940,3.338,1941,2.104,1942,2.45,1943,2.104,1944,2.45,1945,2.977,1946,2.977,1947,2.977,1948,2.977,1949,2.45,1950,2.977,1951,2.977,1952,2.977,1953,2.977,1954,2.514,1955,2.977,1956,2.977,1957,2.977,1958,2.977,1959,2.977,1960,2.977,1961,2.977]],["t/9",[16,0.184,23,0.021]],["b/9",[1,0.034,2,0.222,3,0.03,4,0.03,5,0.024,6,0.024,7,0.039,8,0.03,9,0.024,10,0.024,11,0.03,12,0.03,13,0.024,14,0.031,15,0.024,16,0.309,17,0.03,18,0.024,19,0.03,20,0.024,21,0.084,22,0.153,23,0.03,24,0.092,25,0.084,26,0.024,27,0.024,28,0.399,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.024,35,0.024,36,0.031,37,0.024,38,0.024,39,0.024,40,0.024,41,0.024,42,0.024,43,0.075,44,0.075,45,0.075,46,0.094,47,0.127,48,0.127,49,0.127,50,0.075,51,0.127,52,0.814,57,1.367,61,0.094,71,2.345,75,2.94,87,1.008,89,0.567,95,0.159,101,0.726,103,1.264,120,1.117,121,1.115,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024,144,2.297,159,0.495,164,0.567,169,1.864,184,1.367,185,2.553,243,0.712,269,1.676,290,1.873,413,3.114,441,2.082,502,0.494,507,1.367,552,1.008,564,1.381,565,1.367,576,1.008,693,1.401,697,1.513,707,1.53,755,2.082,770,3.114,811,1.401,815,2.082,817,2.674,822,1.117,823,0.452,868,2.022,875,0.911,878,2.337,879,2.853,880,1.236,891,0.814,935,2.102,940,1.513,941,2.553,943,1.864,959,1.008,1000,2.082,1004,2.102,1016,1.008,1081,1.008,1094,3.353,1106,1.513,1228,3.114,1239,1.897,1585,3.353,1615,1.829,1721,3.114,1732,2.082,1807,2.082,1903,2.611,1962,3.783,1963,3.783,1964,3.783,1965,3.783,1966,3.783,1967,3.783,1968,4.743,1969,5.182,1970,3.783,1971,3.783,1972,3.783,1973,3.783,1974,3.783,1975,3.783,1976,3.783,1977,3.114,1978,3.114,1979,3.783,1980,3.783,1981,3.905,1982,3.783,1983,3.783,1984,3.783,1985,3.114,1986,3.114,1987,2.345,1988,3.783,1989,3.783,1990,2.674,1991,3.114,1992,3.783,1993,3.783,1994,1.676,1995,2.674,1996,2.674,1997,2.674]],["t/10",[16,0.184,21,0.06]],["b/10",[1,0.02,2,0.199,3,0.03,4,0.026,5,0.021,6,0.027,7,0.039,8,0.032,9,0.021,10,0.021,11,0.02,12,0.02,13,0.021,14,0.027,15,0.02,16,0.318,17,0.03,18,0.02,19,0.02,20,0.034,21,0.103,22,0.143,23,0.02,24,0.085,25,0.075,26,0.021,27,0.021,28,0.385,29,0.026,30,0.02,31,0.026,32,0.02,33,0.02,34,0.02,35,0.034,36,0.027,37,0.027,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,1.028,61,0.095,84,1.255,89,0.717,95,0.171,97,1.154,99,0.335,101,0.816,104,1.573,107,0.556,114,0.687,120,1.255,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.418,151,0.851,159,0.418,164,0.638,169,1.573,173,0.943,184,1.841,195,1.415,243,0.479,255,1.911,261,1.979,274,1.573,283,1.276,343,1.573,360,0.851,361,1.415,377,1.979,378,0.687,428,2.628,470,0.943,502,0.405,505,0.687,506,1.573,516,1.757,517,1.389,543,1.573,553,1.415,558,1.043,560,1.276,564,1.133,566,1.154,576,0.851,635,1.154,643,1.573,708,1.7,761,1.979,788,2.256,811,1.255,822,0.943,823,0.486,824,0.694,826,1.222,875,0.613,879,1.757,880,1.562,888,1.154,891,1.028,898,1.414,899,1.154,904,1.884,906,1.7,917,1.043,927,1.979,935,1.415,943,1.573,952,2.614,953,2.635,954,3.499,955,2.34,956,3.499,957,3.499,958,3.499,959,1.133,960,2.635,981,2.628,1004,1.884,1016,0.851,1022,2.628,1025,2.628,1032,3.005,1044,1.979,1057,1.415,1060,3.499,1068,1.415,1081,0.851,1083,2.631,1088,1.154,1094,2.256,1101,1.757,1102,1.757,1106,2.262,1114,1.757,1115,1.573,1116,1.757,1121,1.154,1123,1.276,1142,1.415,1143,0.851,1221,2.256,1231,2.256,1239,1.7,1250,1.154,1352,0.943,1356,1.536,1360,1.7,1381,1.979,1383,2.631,1387,1.979,1393,1.979,1405,2.628,1417,1.979,1421,1.043,1437,1.573,1549,2.635,1558,2.628,1616,1.573,1790,1.415,1803,2.628,1807,1.757,1895,2.256,1902,1.276,1943,2.256,1944,2.628,1990,2.256,1991,2.628,1994,1.415,1995,3.005,1996,3.378,1997,3.005,1998,1.979,1999,3.192,2000,3.192,2001,3.192,2002,3.192,2003,3.192,2004,1.757,2005,3.192,2006,2.256,2007,3.192,2008,3.192,2009,3.192,2010,2.256,2011,3.192,2012,2.256,2013,3.192,2014,3.192,2015,3.192,2016,3.192,2017,3.192,2018,3.192,2019,3.499,2020,3.192,2021,2.628,2022,3.192,2023,4.251,2024,3.192,2025,2.628,2026,2.628,2027,3.192,2028,2.256,2029,3.192,2030,3.192,2031,4.251,2032,3.192,2033,4.251,2034,3.192,2035,4.251,2036,3.192,2037,3.192,2038,3.192,2039,3.192,2040,3.192,2041,3.192,2042,3.192,2043,2.256,2044,3.192,2045,3.192,2046,3.192,2047,3.192,2048,3.192,2049,3.192,2050,3.192,2051,2.628,2052,3.192,2053,3.378,2054,2.256,2055,3.192,2056,2.256,2057,2.256,2058,2.256,2059,3.192,2060,3.192,2061,4.251,2062,3.192,2063,3.192,2064,2.628,2065,2.628,2066,3.192,2067,3.192,2068,2.256,2069,3.192,2070,2.256,2071,3.192,2072,2.256,2073,4.251,2074,3.192,2075,3.192,2076,3.192,2077,1.415,2078,3.192,2079,3.192,2080,3.192,2081,3.192,2082,3.192,2083,3.192,2084,3.192,2085,3.192,2086,3.192,2087,3.005,2088,4.251,2089,3.192,2090,3.192,2091,3.192,2092,2.256,2093,3.192,2094,2.628,2095,2.628,2096,3.192]],["t/11",[16,0.16,21,0.052,22,0.083]],["b/11",[1,0.02,2,0.18,3,0.026,4,0.033,5,0.027,6,0.021,7,0.039,8,0.03,9,0.021,10,0.021,11,0.02,12,0.026,13,0.021,14,0.021,15,0.02,16,0.301,17,0.026,18,0.03,19,0.02,20,0.03,21,0.094,22,0.157,23,0.02,24,0.085,25,0.075,26,0.021,27,0.027,28,0.385,29,0.03,30,0.02,31,0.032,32,0.02,33,0.02,34,0.02,35,0.02,36,0.027,37,0.021,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,0.686,57,1.153,61,0.108,88,1.414,93,0.765,95,0.178,99,0.376,101,0.613,104,1.572,107,0.556,112,2.255,114,0.686,120,1.566,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.417,148,1.153,151,0.85,159,0.417,161,1.572,162,1.255,163,0.942,172,2.093,173,1.411,184,1.726,194,0.613,200,0.686,205,1.388,216,1.132,255,1.276,263,3.003,288,2.255,318,1.414,343,1.572,363,1.019,378,0.914,405,1.153,444,1.153,479,1.978,496,0.914,502,0.304,549,1.978,560,1.276,566,1.535,637,1.978,697,1.276,706,0.85,738,1.978,744,3.498,748,2.626,749,2.255,761,1.978,786,1.042,822,0.942,823,0.505,824,0.714,826,1.019,880,1.388,889,1.572,891,0.686,932,1.572,940,1.91,948,3.003,1004,1.414,1044,1.978,1057,1.414,1068,1.414,1081,0.85,1083,2.339,1099,1.978,1101,1.756,1102,1.756,1105,1.388,1106,1.91,1114,2.804,1115,1.572,1116,1.756,1123,1.276,1141,1.978,1142,2.117,1143,0.85,1185,2.339,1209,2.227,1238,2.626,1240,3.377,1246,2.626,1300,2.626,1351,1.042,1352,1.255,1355,2.634,1356,1.726,1358,2.626,1360,1.699,1365,2.626,1383,2.339,1384,1.978,1385,2.626,1387,1.978,1393,1.978,1417,1.978,1426,2.255,1492,3.933,1547,2.255,1627,1.572,1630,2.255,1639,1.756,1718,2.626,1773,1.572,1790,1.414,1822,2.255,1897,1.756,1903,2.63,1949,3.933,1990,2.255,1994,1.883,1995,3.003,1996,3.003,1997,3.003,2019,2.626,2025,3.498,2028,2.255,2051,2.626,2053,3.003,2056,2.255,2057,2.255,2058,2.255,2072,3.377,2077,1.414,2087,3.003,2092,3.377,2097,3.19,2098,3.19,2099,2.339,2100,3.19,2101,2.626,2102,3.19,2103,3.601,2104,3.19,2105,3.19,2106,3.19,2107,3.19,2108,3.19,2109,3.19,2110,3.19,2111,3.19,2112,3.19,2113,4.249,2114,3.19,2115,3.19,2116,3.19,2117,3.19,2118,3.19,2119,2.634,2120,3.19,2121,2.634,2122,2.634,2123,2.634,2124,2.961,2125,2.634,2126,2.634,2127,3.19,2128,2.255,2129,3.377,2130,3.19,2131,5.094,2132,3.19,2133,4.249,2134,5.094,2135,4.249,2136,4.249,2137,4.249,2138,3.19,2139,3.19,2140,3.19,2141,3.19,2142,2.255,2143,1.756,2144,2.626,2145,2.255,2146,3.19,2147,3.933,2148,3.19,2149,3.19,2150,3.19,2151,3.19,2152,3.19,2153,3.19,2154,3.19,2155,2.255,2156,3.19,2157,2.626,2158,3.19,2159,2.255,2160,2.626,2161,3.19,2162,2.626,2163,3.19,2164,4.249,2165,2.626,2166,3.19,2167,3.19,2168,2.255,2169,3.19,2170,3.19,2171,2.626,2172,3.19,2173,2.626,2174,3.19,2175,3.19,2176,3.19,2177,3.19,2178,4.249,2179,4.249,2180,2.626,2181,2.626,2182,3.498,2183,2.626,2184,3.19,2185,3.19,2186,2.626,2187,3.19,2188,3.19]],["t/12",[17,0.018,18,0.018,19,0.018]],["b/12",[1,0.02,2,0.223,3,0.032,4,0.03,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.027,12,0.027,13,0.021,14,0.021,15,0.027,16,0.329,17,0.036,18,0.034,19,0.033,20,0.02,21,0.077,22,0.155,23,0.02,24,0.091,25,0.077,26,0.021,27,0.021,28,0.387,29,0.027,30,0.03,31,0.027,32,0.02,33,0.027,34,0.02,35,0.02,36,0.028,37,0.028,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.065,44,0.065,45,0.065,46,0.085,47,0.11,48,0.11,49,0.11,50,0.065,51,0.11,52,0.703,60,1.181,61,0.117,63,3.553,69,1.035,71,2.025,89,0.648,94,1.106,95,0.145,99,0.381,100,1.61,107,0.632,108,1.035,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.028,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,144,1.448,151,0.87,159,0.753,162,0.965,167,2.127,175,0.965,176,1.275,194,0.829,196,1.41,205,1.068,216,1.288,243,0.49,360,0.87,361,1.448,404,2.025,405,1.181,444,1.56,448,1.798,461,2.309,470,1.275,481,2.69,482,3.553,496,0.928,502,0.411,506,1.61,516,2.376,517,1.068,552,0.87,576,0.87,621,2.025,692,1.448,693,0.965,696,2.376,701,2.142,705,1.306,706,0.87,727,2.025,735,1.448,749,2.309,752,1.798,758,1.61,786,1.068,811,1.275,815,2.661,822,0.965,823,0.411,824,0.718,826,1.317,880,1.068,888,1.56,891,1.223,898,1.515,899,1.181,901,1.448,906,1.726,912,1.798,913,1.61,943,2.127,944,2.309,946,2.309,953,2.025,972,2.127,977,1.306,993,2.69,1016,0.87,1030,1.61,1084,1.181,1105,1.068,1106,1.306,1185,1.798,1209,1.933,1237,2.309,1364,2.025,1437,1.61,1449,2.69,1502,2.69,1552,2.309,1602,1.306,1625,2.309,1627,1.61,1639,1.798,1657,2.309,1807,2.661,1863,2.309,1889,2.69,1896,2.309,1919,2.676,1985,2.69,1998,2.676,2012,2.309,2119,2.676,2121,2.025,2122,2.025,2123,2.025,2124,2.025,2125,2.025,2126,2.025,2189,3.267,2190,3.267,2191,4.522,2192,3.267,2193,3.267,2194,3.267,2195,3.267,2196,3.267,2197,2.309,2198,2.309,2199,3.267,2200,2.69,2201,2.69,2202,3.267,2203,3.267,2204,3.267,2205,4.316,2206,4.402,2207,3.267,2208,3.267,2209,2.309,2210,3.267,2211,3.267,2212,3.267,2213,3.267,2214,3.267,2215,3.267,2216,2.309,2217,3.267,2218,3.267,2219,2.69,2220,3.267,2221,3.267,2222,3.267,2223,3.267,2224,3.267,2225,2.69,2226,3.267,2227,3.267,2228,3.267,2229,3.267,2230,3.267,2231,3.051,2232,2.69,2233,3.267,2234,3.267,2235,3.267,2236,3.267,2237,3.267,2238,3.267,2239,3.267,2240,3.267,2241,3.267,2242,3.267,2243,3.267,2244,2.309,2245,3.267,2246,3.267,2247,3.267,2248,3.267,2249,2.309,2250,3.267,2251,2.69,2252,4.316,2253,3.267,2254,2.309,2255,4.316,2256,4.316,2257,3.267,2258,3.267,2259,3.267,2260,3.267,2261,3.267]],["t/13",[24,0.06,25,0.06]],["b/13",[1,0.018,2,0.219,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.028,9,0.019,10,0.019,11,0.018,12,0.018,13,0.019,14,0.029,15,0.018,16,0.293,17,0.035,18,0.03,19,0.036,20,0.025,21,0.07,22,0.138,23,0.018,24,0.1,25,0.098,26,0.019,27,0.019,28,0.376,29,0.025,30,0.018,31,0.018,32,0.018,33,0.018,34,0.018,35,0.018,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.078,47,0.097,48,0.097,49,0.097,50,0.057,51,0.097,52,1.139,57,1.043,61,0.109,69,0.692,73,2.375,88,1.279,89,0.433,92,1.279,93,1.172,94,0.621,95,0.186,99,0.227,101,0.871,103,1.058,107,0.639,108,0.692,109,1.588,114,0.621,121,0.621,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.032,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.519,144,2.166,159,0.594,164,0.596,169,1.956,172,1.421,184,1.043,194,0.762,196,0.943,199,1.154,200,1.139,247,1.043,269,2.347,274,1.421,330,3.736,360,0.769,364,2.039,378,0.621,391,2.039,403,1.421,404,1.789,405,1.043,444,1.043,446,2.375,466,1.789,470,1.513,472,1.421,502,0.432,507,1.043,517,0.943,525,0.852,552,1.302,564,0.769,565,1.434,568,1.789,621,1.789,628,1.588,631,1.279,635,1.043,679,1.043,690,1.421,692,1.279,694,1.789,698,2.039,701,1.279,705,1.154,706,0.769,707,1.34,750,0.943,758,1.421,804,2.525,808,2.806,811,1.172,819,2.039,823,0.466,824,0.742,828,1.789,868,1.64,875,0.984,878,1.421,879,1.588,880,1.597,888,1.64,889,1.956,891,1.189,898,1.302,899,1.043,904,2.271,927,2.461,932,1.956,940,1.154,946,2.039,949,1.789,962,4.36,963,4.251,964,2.461,965,2.039,966,3.208,967,2.039,968,2.039,970,2.039,972,2.824,973,3.63,977,1.154,980,2.039,990,2.375,994,3.455,1016,1.058,1020,2.806,1024,2.039,1031,2.375,1055,1.588,1067,2.375,1081,1.058,1108,2.21,1142,1.279,1229,1.279,1239,1.154,1407,2.039,1510,2.806,1601,3.268,1615,1.297,1616,1.421,1653,2.039,1771,2.039,1790,1.279,1836,2.236,1838,2.166,1873,1.588,1902,1.154,1977,2.375,1987,1.789,1998,1.789,2004,1.588,2006,3.208,2010,2.039,2021,2.375,2068,2.039,2077,1.279,2145,2.039,2191,2.375,2206,2.375,2225,2.375,2244,2.039,2249,2.039,2262,2.885,2263,2.885,2264,2.885,2265,2.885,2266,2.885,2267,2.885,2268,1.789,2269,2.236,2270,2.375,2271,2.375,2272,2.375,2273,2.375,2274,2.375,2275,2.885,2276,2.885,2277,2.885,2278,2.885,2279,2.885,2280,2.885,2281,2.885,2282,2.885,2283,2.885,2284,2.375,2285,2.375,2286,2.375,2287,2.885,2288,3.969,2289,4.538,2290,3.969,2291,2.375,2292,2.885,2293,2.885,2294,3.268,2295,2.885,2296,2.375,2297,3.969,2298,2.375,2299,2.885,2300,2.885,2301,2.885,2302,2.375,2303,2.885,2304,2.885,2305,3.969,2306,3.969,2307,2.885,2308,4.538,2309,2.885,2310,2.885,2311,2.885,2312,2.885,2313,2.885,2314,2.885,2315,2.885,2316,2.885,2317,2.885,2318,2.885,2319,2.885,2320,2.375,2321,2.375,2322,2.375,2323,2.375,2324,3.268,2325,2.375,2326,2.375,2327,2.885,2328,2.885,2329,2.885,2330,2.375,2331,2.375,2332,4.888,2333,3.969,2334,2.375,2335,3.969,2336,2.885,2337,2.885,2338,2.885,2339,2.885,2340,2.885,2341,2.885,2342,2.885,2343,2.885,2344,2.885,2345,2.885,2346,2.885,2347,2.885]],["t/14",[22,0.083,24,0.052,25,0.052]],["b/14",[1,0.022,2,0.187,3,0.028,4,0.033,5,0.022,6,0.029,7,0.039,8,0.028,9,0.022,10,0.022,11,0.022,12,0.022,13,0.022,14,0.029,15,0.022,16,0.324,17,0.031,18,0.022,19,0.022,20,0.031,21,0.079,22,0.148,23,0.028,24,0.093,25,0.103,26,0.022,27,0.022,28,0.392,29,0.022,30,0.022,31,0.022,32,0.022,33,0.022,34,0.022,35,0.022,36,0.035,37,0.022,38,0.022,39,0.022,40,0.022,41,0.022,42,0.022,43,0.068,44,0.068,45,0.068,46,0.089,47,0.116,48,0.116,49,0.116,50,0.068,51,0.116,52,1.171,61,0.108,85,1.702,87,0.92,93,0.828,94,0.743,95,0.15,97,1.248,107,0.452,108,0.828,114,0.963,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.022,134,0.022,135,0.022,137,0.452,164,0.518,167,1.702,176,1.02,194,0.86,243,0.518,399,2.441,468,1.702,469,2.441,502,0.329,551,1.531,552,0.92,553,1.531,631,1.531,692,1.531,694,2.141,706,0.92,750,1.129,804,1.702,811,1.02,823,0.501,824,0.761,826,0.828,878,1.702,891,0.743,898,0.92,899,1.248,912,1.901,913,1.702,949,2.141,963,2.441,964,3.457,965,3.164,966,3.848,967,3.164,968,2.441,970,3.511,972,2.682,973,3.519,977,1.381,980,2.441,982,2.843,986,2.843,994,2.441,1006,2.843,1009,2.843,1010,2.441,1012,2.843,1014,2.843,1018,2.843,1019,2.843,1020,2.441,1024,2.441,1027,2.843,1028,2.843,1043,1.531,1081,0.92,1108,1.381,1142,1.531,1239,1.79,1379,2.843,1619,2.141,1623,3.164,1627,1.702,1711,2.843,1790,1.531,1807,1.901,1836,1.702,1838,1.984,1883,2.441,1890,2.843,1978,4.325,1994,1.984,1998,2.141,2006,3.511,2010,2.441,2028,3.164,2072,3.164,2077,1.531,2101,2.843,2145,2.441,2159,2.441,2244,3.164,2249,2.441,2268,2.141,2269,1.702,2270,2.843,2271,2.843,2272,2.843,2273,2.843,2274,2.843,2294,3.685,2320,2.843,2321,3.685,2322,2.843,2323,3.685,2324,3.685,2325,3.685,2326,2.843,2348,3.454,2349,5.577,2350,3.454,2351,3.454,2352,4.476,2353,2.843,2354,3.454,2355,3.454,2356,4.476,2357,3.454,2358,3.454,2359,3.454,2360,3.454,2361,3.454,2362,4.476,2363,4.476,2364,4.476,2365,3.454,2366,3.454,2367,2.843,2368,3.454,2369,3.454,2370,3.454,2371,3.454,2372,3.454,2373,3.454,2374,2.141,2375,3.685,2376,3.454,2377,4.476,2378,4.476,2379,3.454,2380,3.454,2381,3.454,2382,1.702,2383,3.454,2384,3.454,2385,3.454,2386,3.454,2387,3.454,2388,3.454,2389,3.454,2390,2.441,2391,3.454,2392,2.441,2393,3.454]],["t/15",[16,0.184,20,0.021]],["b/15",[1,0.018,2,0.198,3,0.028,4,0.025,5,0.018,6,0.018,7,0.039,8,0.03,9,0.018,10,0.018,11,0.018,12,0.028,13,0.018,14,0.025,15,0.018,16,0.326,17,0.032,18,0.018,19,0.018,20,0.037,21,0.086,22,0.157,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.375,29,0.025,30,0.018,31,0.033,32,0.018,33,0.018,34,0.018,35,0.025,36,0.025,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.056,44,0.056,45,0.056,46,0.078,47,0.096,48,0.096,49,0.096,50,0.056,51,0.096,52,0.613,61,0.115,87,0.76,89,0.766,93,0.684,94,1.098,95,0.172,96,0.847,99,0.446,101,0.548,114,0.847,121,1.135,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,159,0.59,164,0.591,171,2.348,184,1.031,200,0.613,205,1.589,216,1.406,255,2.237,263,2.016,264,1.768,269,1.745,292,1.574,293,2.348,360,0.76,363,0.684,378,0.613,430,2.016,463,1.57,485,1.57,496,1.046,502,0.272,506,1.405,551,1.264,564,0.76,566,1.63,613,2.016,623,1.264,635,1.031,637,1.768,694,3.015,706,1.049,708,1.14,727,1.768,735,2.339,751,2.348,786,0.932,815,1.57,822,0.842,823,0.486,824,0.668,875,0.548,879,1.57,880,1.869,881,2.016,888,1.63,913,1.94,917,0.932,919,1.768,940,1.14,959,1.202,991,1.768,1016,0.76,1044,3.015,1052,2.348,1068,1.745,1081,1.049,1083,1.57,1084,1.031,1086,2.016,1088,1.63,1097,1.768,1098,1.803,1099,1.768,1100,2.783,1101,2.677,1102,2.677,1105,1.668,1106,2.041,1108,1.14,1109,2.016,1112,2.016,1113,2.016,1114,2.483,1115,2.222,1116,2.677,1117,2.016,1118,2.016,1121,1.63,1123,1.803,1143,0.76,1185,3.034,1209,1.803,1239,1.14,1250,1.031,1352,1.163,1355,1.768,1356,1.758,1359,2.783,1360,1.574,1364,2.441,1368,2.348,1370,3.242,1383,1.57,1384,2.441,1387,2.441,1393,2.441,1394,2.348,1397,2.167,1399,2.348,1408,1.57,1417,1.768,1421,0.932,1426,2.016,1532,2.016,1536,2.796,1562,1.768,1602,1.14,1616,1.405,1629,2.167,1655,2.016,1666,2.783,1790,1.745,1847,1.264,1896,2.016,1897,1.57,1903,2.483,1919,2.441,1986,2.348,1987,1.768,1994,1.264,2012,2.016,2026,3.242,2053,3.438,2054,2.783,2056,2.016,2057,2.783,2058,2.783,2065,2.348,2068,2.016,2087,2.783,2092,2.016,2099,1.57,2103,2.016,2119,2.441,2121,3.015,2122,3.015,2123,3.015,2124,3.164,2125,3.015,2126,3.015,2128,2.783,2129,2.016,2147,3.242,2157,2.348,2160,2.348,2162,2.348,2165,2.348,2168,2.016,2171,2.348,2173,2.348,2180,3.242,2181,2.348,2182,3.242,2183,2.348,2186,2.348,2197,2.783,2198,2.783,2216,2.016,2231,2.016,2394,2.852,2395,2.852,2396,2.852,2397,3.937,2398,2.852,2399,2.852,2400,2.852,2401,2.852,2402,2.852,2403,2.852,2404,2.852,2405,3.937,2406,2.852,2407,3.937,2408,2.852,2409,2.852,2410,2.852,2411,2.852,2412,2.852,2413,2.852,2414,2.852,2415,2.852,2416,2.852,2417,2.852,2418,2.852,2419,2.852,2420,2.852,2421,2.348,2422,3.242,2423,2.016,2424,2.016,2425,3.937,2426,2.852,2427,3.937,2428,2.852,2429,2.852,2430,2.852,2431,2.852,2432,1.405,2433,2.852,2434,2.852,2435,2.852,2436,2.852,2437,2.852,2438,2.852,2439,2.852,2440,2.852,2441,2.348,2442,2.852,2443,3.242,2444,2.852,2445,2.852,2446,2.852,2447,2.852,2448,2.852,2449,2.852,2450,2.348]],["t/16",[3,0.021,4,0.021]],["b/16",[1,0.028,2,0.225,3,0.037,4,0.037,5,0.022,6,0.022,7,0.038,8,0.031,9,0.022,10,0.022,11,0.028,12,0.028,13,0.032,14,0.035,15,0.028,16,0.32,17,0.028,18,0.028,19,0.028,20,0.034,21,0.093,22,0.153,23,0.028,24,0.105,25,0.097,26,0.034,27,0.022,28,0.414,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.035,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,43,0.089,44,0.069,45,0.069,46,0.069,50,0.069,57,1.621,61,0.11,62,2.45,87,1.325,89,0.52,103,1.195,117,1.708,120,1.023,121,0.746,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.029,134,0.022,135,0.022,136,2.149,137,0.587,146,3.694,150,2.854,152,3.694,154,3.084,159,0.587,163,1.023,164,0.789,175,1.023,194,0.666,195,1.536,243,0.673,247,2.053,283,1.386,361,1.988,364,3.517,390,2.47,392,3.517,398,2.45,405,1.253,441,2.47,470,1.023,472,1.708,473,2.45,485,1.908,502,0.474,505,0.965,506,1.708,542,2.45,543,2.21,549,3.084,551,1.536,552,0.924,558,1.466,559,2.149,562,3.694,564,0.924,566,1.253,577,1.908,623,1.536,635,1.253,643,1.708,679,1.253,698,2.45,728,2.854,779,2.45,780,2.854,788,2.45,804,1.708,826,1.076,875,0.955,889,1.708,920,2.854,935,1.988,941,2.21,952,1.708,955,2.47,999,2.149,1030,1.708,1084,1.253,1167,2.896,1209,1.386,1239,1.386,1250,1.253,1351,1.133,1367,2.45,1381,2.149,1510,2.45,1534,2.45,1544,2.854,1550,2.854,1559,2.854,1588,2.21,1615,1.133,1639,1.908,1665,2.149,1735,2.854,1773,1.708,1776,2.854,1824,2.781,1902,1.386,1928,2.149,1941,3.171,2004,1.908,2043,2.45,2077,1.536,2099,1.908,2298,2.854,2367,2.854,2382,2.451,2451,2.45,2452,3.466,2453,2.45,2454,3.466,2455,3.466,2456,3.466,2457,3.466,2458,3.466,2459,3.466,2460,4.487,2461,2.45,2462,3.466,2463,3.466,2464,3.466,2465,3.466,2466,3.466,2467,3.466,2468,3.466,2469,3.466,2470,4.975,2471,2.854,2472,3.466,2473,3.466,2474,2.854,2475,3.466,2476,4.487,2477,3.466,2478,3.466,2479,3.466,2480,2.45,2481,2.45,2482,2.45,2483,2.854,2484,4.487,2485,2.45,2486,3.466,2487,3.466,2488,3.466,2489,3.466,2490,3.466,2491,3.466,2492,3.466,2493,3.466]],["t/17",[28,0.177,35,0.016,1824,1.615,2485,1.841]],["b/17",[1,0.021,2,0.219,3,0.027,4,0.027,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.021,12,0.021,13,0.028,14,0.028,15,0.021,16,0.263,17,0.027,18,0.021,19,0.021,20,0.021,21,0.077,22,0.165,23,0.021,24,0.086,25,0.077,26,0.021,27,0.021,28,0.393,29,0.032,30,0.032,31,0.027,32,0.021,33,0.021,34,0.021,35,0.027,36,0.031,37,0.021,38,0.021,39,0.021,40,0.021,41,0.021,42,0.021,43,0.065,44,0.065,45,0.065,46,0.086,47,0.111,48,0.111,49,0.111,50,0.065,51,0.111,61,0.102,69,1.24,77,3.078,84,0.978,95,0.181,99,0.434,101,0.836,104,1.631,107,0.433,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,151,1.296,153,2.341,165,0.882,174,0.978,175,0.978,178,3.078,196,1.082,199,1.324,249,2.146,264,2.7,290,1.197,291,1.631,292,1.324,312,1.324,363,1.24,411,2.7,449,2.341,470,0.978,496,0.712,505,0.712,552,1.377,566,1.574,576,0.882,630,2.053,706,0.882,735,1.467,755,1.823,814,2.341,817,2.341,823,0.543,918,4.421,919,3.016,937,1.324,972,2.397,977,1.324,1081,0.882,1123,1.324,1142,1.467,1143,1.16,1351,1.423,1352,0.978,1355,2.053,1356,1.574,1398,3.078,1421,1.423,1615,1.689,1732,1.823,1736,2.726,1771,2.341,1773,1.631,1824,3.681,1827,2.341,1831,2.726,1832,2.726,1836,1.631,1838,1.93,1843,2.726,1847,1.467,1848,2.726,1855,2.726,1857,2.726,1903,1.823,2268,2.053,2269,2.146,2432,1.631,2485,3.078,2494,3.311,2495,3.311,2496,3.311,2497,3.311,2498,3.311,2499,3.311,2500,4.355,2501,4.355,2502,4.355,2503,4.355,2504,4.355,2505,3.311,2506,3.311,2507,3.311,2508,3.311,2509,3.311,2510,3.311,2511,3.311,2512,3.311,2513,3.311,2514,3.311,2515,4.355,2516,3.585,2517,3.311,2518,3.311,2519,3.311,2520,4.355,2521,3.311,2522,3.311,2523,3.311,2524,3.585,2525,3.311,2526,4.355,2527,3.311,2528,3.311,2529,3.311,2530,3.311,2531,4.866,2532,3.311,2533,3.311,2534,3.311,2535,3.311,2536,3.311,2537,1.631,2538,3.311,2539,3.311,2540,3.311,2541,3.311,2542,3.311,2543,3.311,2544,3.311,2545,3.311,2546,3.311,2547,3.311,2548,4.355,2549,3.311,2550,3.311,2551,3.311,2552,4.355,2553,3.311,2554,3.311,2555,3.311,2556,3.311,2557,2.726,2558,2.726,2559,3.311,2560,3.311,2561,4.866,2562,3.311,2563,3.311,2564,3.311,2565,3.311,2566,3.311,2567,3.311,2568,3.311,2569,3.311,2570,3.311,2571,3.311,2572,3.311,2573,3.311,2574,3.311,2575,3.311,2576,3.311,2577,3.311,2578,4.355,2579,3.311,2580,3.311,2581,5.169,2582,3.311,2583,3.311,2584,4.355,2585,4.355,2586,3.311,2587,3.311,2588,3.311,2589,3.311,2590,3.311,2591,3.311,2592,3.311,2593,3.311,2594,3.311,2595,3.311,2596,4.866,2597,3.311]],["t/18",[22,0.096,28,0.231]],["b/18",[1,0.017,2,0.215,3,0.017,4,0.032,5,0.018,6,0.031,7,0.039,8,0.03,9,0.018,10,0.018,11,0.017,12,0.017,13,0.018,14,0.025,15,0.017,16,0.238,17,0.017,18,0.017,19,0.017,20,0.017,21,0.068,22,0.171,23,0.017,24,0.085,25,0.068,26,0.018,27,0.025,28,0.377,29,0.036,30,0.036,31,0.034,32,0.017,33,0.03,34,0.031,35,0.017,36,0.025,37,0.018,38,0.017,39,0.017,40,0.017,41,0.018,42,0.017,43,0.054,44,0.054,45,0.054,46,0.075,47,0.092,48,0.128,49,0.092,50,0.054,51,0.092,52,0.821,59,2.366,60,1.592,61,0.116,69,1.144,79,1.344,93,0.654,94,1.026,95,0.128,99,0.471,100,1.344,101,0.524,103,0.727,107,0.357,108,0.654,109,1.501,117,1.881,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,136,1.691,137,0.499,149,1.928,151,1.017,162,1.127,163,0.805,164,0.661,165,1.173,173,0.805,174,1.301,176,1.483,178,1.928,196,1.247,199,1.526,200,1.173,203,2.698,243,0.573,245,1.691,247,1.815,249,1.344,252,2.101,255,1.091,262,1.691,269,1.209,274,1.344,280,2.245,281,1.928,282,2.17,283,1.091,288,2.698,290,0.986,291,1.344,292,1.091,312,1.908,318,1.209,360,0.727,361,1.952,362,1.501,381,2.245,390,1.501,411,2.73,430,1.928,444,0.986,463,1.501,468,1.881,485,2.424,496,1.026,502,0.26,505,0.587,516,1.501,517,0.891,551,1.692,552,0.727,553,1.692,558,1.7,560,1.526,561,1.928,574,2.366,577,2.101,607,1.928,613,2.698,629,1.344,631,1.692,635,0.986,643,1.344,692,1.209,705,1.091,708,1.761,761,2.366,823,0.55,824,0.576,826,1.373,917,0.891,927,1.691,973,1.691,999,1.691,1043,1.209,1081,1.017,1108,1.908,1115,2.17,1143,1.017,1193,2.957,1352,0.805,1384,2.73,1547,1.928,1562,1.691,1585,1.928,1593,2.245,1616,1.344,1856,3.626,1898,3.113,1902,1.091,1940,2.245,1987,1.691,2004,1.501,2142,1.928,2168,2.698,2374,1.691,2382,1.344,2421,2.245,2461,1.928,2474,2.245,2537,1.344,2598,2.727,2599,2.727,2600,2.727,2601,2.727,2602,2.727,2603,2.727,2604,2.727,2605,2.245,2606,2.727,2607,2.727,2608,4.771,2609,2.727,2610,2.727,2611,2.727,2612,2.727,2613,2.727,2614,2.727,2615,2.727,2616,2.727,2617,2.727,2618,2.727,2619,2.727,2620,2.727,2621,2.727,2622,2.727,2623,2.727,2624,3.817,2625,3.817,2626,2.727,2627,2.727,2628,2.727,2629,2.727,2630,2.727,2631,2.727,2632,2.727,2633,2.727,2634,2.727,2635,2.727,2636,4.404,2637,3.817,2638,2.727,2639,3.817,2640,3.817,2641,2.727,2642,2.727,2643,2.727,2644,2.727,2645,4.488,2646,4.404,2647,4.404,2648,3.626,2649,3.113,2650,4.404,2651,2.727,2652,2.245,2653,2.727,2654,2.245,2655,3.626,2656,2.727,2657,2.727,2658,2.727,2659,2.727,2660,2.727,2661,2.727,2662,2.727,2663,2.727,2664,2.727,2665,2.727,2666,2.727,2667,2.727,2668,2.727,2669,2.245,2670,2.727,2671,2.727,2672,2.727,2673,2.727,2674,2.727,2675,2.727,2676,2.727,2677,2.727,2678,2.727,2679,2.727,2680,2.727,2681,2.727,2682,2.727,2683,2.727,2684,2.727,2685,2.727,2686,2.727,2687,2.727,2688,2.727,2689,2.727,2690,2.727,2691,2.727,2692,2.727,2693,2.727,2694,2.727,2695,2.727,2696,2.727,2697,2.727,2698,2.727,2699,2.727,2700,2.727,2701,2.727,2702,3.817,2703,2.727,2704,3.817,2705,2.727,2706,2.727,2707,2.727,2708,2.727,2709,2.727,2710,2.727,2711,2.727,2712,2.727,2713,2.727,2714,2.727,2715,2.727,2716,2.727,2717,2.727,2718,3.817,2719,2.727,2720,2.727,2721,2.727,2722,2.727,2723,2.727]],["t/19",[28,0.177,29,0.016,875,0.5,1250,0.941]],["b/19",[1,0.016,2,0.201,3,0.03,4,0.026,5,0.016,6,0.023,7,0.039,8,0.032,9,0.016,10,0.016,11,0.022,12,0.022,13,0.016,14,0.016,15,0.016,16,0.289,17,0.026,18,0.022,19,0.022,20,0.016,21,0.064,22,0.147,23,0.016,24,0.075,25,0.064,26,0.016,27,0.016,28,0.375,29,0.033,30,0.022,31,0.022,32,0.016,33,0.022,34,0.022,35,0.022,36,0.027,37,0.016,38,0.016,39,0.016,40,0.016,41,0.016,42,0.016,43,0.05,44,0.05,45,0.05,46,0.071,47,0.084,48,0.121,49,0.084,50,0.05,51,0.084,52,0.54,61,0.11,71,1.556,79,1.237,84,0.741,87,1.121,89,0.377,92,1.113,93,0.602,94,0.54,95,0.183,96,0.774,99,0.332,101,0.934,103,0.669,107,0.328,108,1.009,114,0.54,120,0.741,121,0.774,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.637,144,1.113,148,0.907,151,1.121,159,0.471,161,2.073,163,1.063,164,0.69,165,0.669,166,1.382,173,0.741,174,1.063,175,1.063,176,1.063,179,2.975,180,2.975,181,2.975,182,2.975,183,2.975,184,1.521,185,2.398,186,2.975,187,2.975,188,2.975,189,2.975,190,2.975,191,3.841,192,2.609,194,0.482,196,1.176,197,2.067,199,1.439,200,1.286,201,2.788,202,2.067,203,1.774,204,2.067,205,1.375,206,2.067,207,2.067,208,2.067,209,2.067,210,2.067,211,2.067,212,2.963,213,2.067,214,2.067,215,2.067,216,0.959,217,2.963,218,2.963,219,2.067,220,2.067,221,2.963,222,2.963,223,3.465,224,2.067,225,2.067,226,2.067,227,2.067,228,2.067,229,2.067,230,2.067,231,1.774,243,0.377,247,0.907,283,1.004,285,2.067,290,1.661,291,1.773,292,1.004,295,2.067,297,2.067,299,2.067,300,2.067,303,2.067,305,2.067,306,2.067,307,2.067,310,2.067,311,2.067,312,1.004,315,2.067,317,2.067,318,1.113,320,2.067,322,2.067,325,2.067,327,2.067,328,2.067,329,2.067,331,2.067,334,2.067,336,2.067,337,3.249,340,2.067,342,2.067,343,1.237,345,2.067,347,2.067,348,1.774,351,2.067,353,2.067,354,2.067,356,2.067,358,2.067,362,1.382,363,1.251,373,1.774,378,0.54,470,1.243,479,1.556,502,0.239,505,0.54,507,0.907,516,1.382,517,0.82,558,1.502,559,1.556,560,1.004,565,0.907,574,1.556,576,0.669,585,2.067,629,1.237,679,1.301,690,1.237,692,1.113,693,0.741,697,1.004,701,1.595,704,1.774,705,1.004,707,1.063,726,2.067,750,1.176,752,1.382,757,2.067,790,1.774,791,1.556,793,2.067,823,0.401,824,0.755,826,1.102,868,1.301,875,1.025,888,0.907,889,1.237,914,2.067,937,1.004,959,0.959,1016,0.669,1036,2.609,1038,2.975,1040,3.785,1098,1.683,1108,1.004,1141,2.609,1143,0.669,1174,2.067,1250,1.885,1351,0.82,1352,1.357,1381,1.556,1398,1.774,1410,2.531,1413,3.249,1421,1.176,1514,1.774,1518,1.774,1588,1.237,1607,1.982,1609,2.231,1664,2.067,1719,2.067,1720,2.067,1737,1.774,1769,1.774,1836,1.773,1838,1.865,1847,1.595,1895,1.774,1909,1.774,1930,2.067,1933,2.067,1941,1.774,1954,1.556,2004,1.382,2128,1.774,2143,1.382,2159,1.774,2200,2.067,2216,1.774,2269,2.073,2296,2.067,2374,1.556,2382,1.237,2390,1.774,2392,3.249,2432,1.773,2461,1.774,2516,2.067,2605,2.067,2724,2.51,2725,2.51,2726,3.6,2727,2.51,2728,2.51,2729,2.51,2730,2.51,2731,2.51,2732,2.51,2733,2.067,2734,2.51,2735,2.51,2736,2.51,2737,2.51,2738,2.067,2739,2.51,2740,2.51,2741,2.51,2742,2.963,2743,2.51,2744,2.51,2745,3.6,2746,1.774,2747,2.51,2748,2.51,2749,2.51,2750,3.6,2751,2.51,2752,2.51,2753,4.867,2754,2.51,2755,2.51,2756,2.51,2757,3.6,2758,3.249,2759,2.51,2760,1.774,2761,3.6,2762,2.51,2763,2.067,2764,2.51,2765,2.51,2766,2.51,2767,3.6,2768,3.6,2769,3.6,2770,3.6,2771,4.208,2772,2.51,2773,2.51,2774,2.51,2775,2.51,2776,2.51,2777,2.51,2778,2.51,2779,2.51,2780,2.51,2781,2.51,2782,2.51,2783,2.067,2784,2.067,2785,2.067,2786,2.067,2787,3.465,2788,2.51,2789,2.067,2790,2.067,2791,2.067,2792,2.067,2793,4.597,2794,2.963,2795,2.51,2796,2.51,2797,2.51,2798,2.51,2799,2.51,2800,2.51,2801,2.51,2802,2.51,2803,2.51,2804,2.51,2805,2.51,2806,2.51,2807,2.51,2808,2.51,2809,2.51,2810,2.51,2811,2.51,2812,2.51,2813,2.51]],["t/20",[28,0.131,30,0.012,875,0.37,935,0.855,1777,1.363,1928,1.195,2481,1.363]],["b/20",[1,0.024,2,0.21,3,0.024,4,0.024,5,0.014,6,0.014,7,0.039,8,0.031,9,0.014,10,0.014,11,0.014,12,0.02,13,0.014,14,0.014,15,0.014,16,0.289,17,0.031,18,0.031,19,0.024,20,0.014,21,0.058,22,0.145,23,0.014,24,0.069,25,0.069,26,0.014,27,0.014,28,0.357,29,0.024,30,0.024,31,0.02,32,0.014,33,0.02,34,0.024,35,0.014,36,0.021,37,0.014,38,0.014,39,0.014,40,0.014,41,0.014,42,0.014,43,0.043,44,0.043,45,0.064,46,0.064,47,0.074,48,0.074,49,0.074,50,0.043,51,0.074,52,0.701,59,1.359,61,0.113,69,1.034,72,1.805,74,1.55,79,1.08,83,1.55,84,0.963,86,1.805,87,1.149,88,1.445,89,0.489,93,0.526,94,0.472,95,0.19,96,0.837,97,0.792,99,0.173,101,0.748,103,0.584,104,1.08,107,0.632,108,0.526,114,0.472,117,1.607,123,0.014,124,0.014,125,0.014,126,0.014,127,0.014,128,0.014,129,0.014,130,0.014,131,0.014,132,0.014,133,0.014,134,0.014,135,0.014,137,0.509,148,1.407,151,1.037,159,0.509,162,0.648,163,1.15,164,0.584,165,0.584,167,1.08,170,1.55,173,1.15,175,1.273,194,0.626,195,0.972,196,1.409,199,0.877,200,1.105,216,0.584,243,0.329,244,1.55,245,1.359,252,2.537,264,1.359,282,1.08,290,1.558,291,1.607,292,0.877,312,0.877,318,0.972,360,0.584,361,0.972,362,1.795,363,0.782,373,1.55,378,0.472,382,1.55,389,1.805,397,1.805,403,1.918,405,0.792,411,2.022,444,0.792,468,1.08,478,1.08,496,1.105,502,0.46,505,0.701,515,1.55,525,0.648,551,0.972,552,0.584,553,1.445,558,1.066,560,0.877,564,0.584,565,1.179,568,1.359,617,1.207,621,1.359,635,1.558,643,1.08,679,0.792,690,1.08,696,2.537,701,0.972,706,0.584,714,1.55,715,1.805,723,1.359,758,1.08,786,1.066,811,0.963,815,1.207,822,0.648,823,0.46,824,0.79,826,1.259,860,2.685,868,1.558,875,0.748,876,1.795,881,1.55,891,1.076,898,1.149,904,2.327,906,2.137,912,1.207,913,1.08,915,1.805,917,1.272,919,2.022,925,1.805,928,1.805,931,1.207,935,1.725,937,1.724,944,1.55,952,1.08,955,2.143,959,0.584,964,2.413,977,0.877,1016,0.584,1030,1.08,1043,0.972,1081,0.869,1084,0.792,1098,0.877,1105,0.717,1129,1.805,1143,0.584,1195,4.781,1218,1.795,1223,1.55,1229,1.445,1232,1.805,1240,2.305,1351,1.066,1352,1.273,1356,1.745,1360,1.304,1382,1.55,1397,2.373,1408,1.207,1410,1.207,1421,1.066,1428,2.022,1437,2.633,1507,1.805,1532,2.305,1536,2.673,1545,1.207,1546,1.359,1588,1.08,1602,1.557,1615,0.717,1618,3.632,1625,1.55,1629,1.795,1633,1.805,1638,1.207,1653,1.55,1657,1.55,1713,1.805,1715,1.805,1729,2.685,1773,1.08,1777,3.257,1778,1.55,1787,1.805,1790,0.972,1818,1.805,1823,1.805,1825,1.805,1826,1.805,1827,1.55,1838,1.911,1863,2.752,1873,1.795,1883,1.55,1898,1.55,1909,1.55,1913,2.685,1915,1.805,1926,1.805,1928,2.994,1932,1.805,1943,1.55,2077,0.972,2094,2.685,2095,2.685,2099,1.207,2143,1.207,2144,1.805,2155,1.55,2201,1.805,2219,1.805,2231,1.55,2232,1.805,2254,1.55,2268,2.022,2269,2.379,2285,1.805,2286,3.549,2302,1.805,2330,1.805,2331,2.685,2334,1.805,2375,3.549,2382,1.08,2441,2.685,2450,2.685,2451,1.55,2453,1.55,2471,1.805,2480,1.55,2481,2.752,2537,1.607,2649,2.752,2738,1.805,2742,1.805,2746,1.55,2758,2.305,2763,1.805,2783,1.805,2814,2.193,2815,3.261,2816,2.193,2817,2.193,2818,3.261,2819,2.193,2820,2.193,2821,2.193,2822,3.261,2823,2.193,2824,2.193,2825,2.193,2826,2.193,2827,4.608,2828,4.608,2829,3.261,2830,3.261,2831,3.261,2832,3.893,2833,4.311,2834,2.193,2835,2.193,2836,5.344,2837,2.193,2838,2.193,2839,2.193,2840,2.193,2841,2.193,2842,2.193,2843,2.193,2844,2.193,2845,2.193,2846,2.193,2847,2.193,2848,2.193,2849,2.193,2850,2.193,2851,2.193,2852,2.193,2853,2.193,2854,2.193,2855,2.193,2856,2.193,2857,2.193,2858,2.193,2859,2.193,2860,2.193,2861,2.193,2862,2.193,2863,3.261,2864,2.193,2865,2.193,2866,5.139,2867,5.139,2868,3.261,2869,3.261,2870,3.261,2871,4.83,2872,3.261,2873,3.261,2874,2.193,2875,2.193,2876,2.193,2877,4.83,2878,5.139,2879,2.193,2880,3.893,2881,2.193,2882,3.261,2883,2.193,2884,3.261,2885,3.261,2886,2.193,2887,2.193,2888,2.193,2889,2.193,2890,3.261,2891,2.193,2892,2.193,2893,3.261,2894,2.193,2895,1.805,2896,2.193,2897,3.893,2898,2.193,2899,2.193,2900,5.344,2901,3.893,2902,2.193,2903,2.193,2904,2.193,2905,2.193,2906,2.193,2907,2.193,2908,2.193,2909,2.193,2910,5.344,2911,2.193,2912,2.193,2913,1.55,2914,2.193,2915,2.193,2916,2.193,2917,3.261,2918,2.193,2919,3.205,2920,2.193,2921,5.344,2922,3.261,2923,2.193,2924,2.193,2925,2.193,2926,2.193,2927,3.261,2928,3.261,2929,2.193,2930,2.193,2931,2.193,2932,2.193,2933,2.193,2934,2.193,2935,2.193,2936,2.193,2937,3.261,2938,1.55,2939,2.193,2940,2.193,2941,2.193,2942,2.193,2943,2.193,2944,2.193,2945,2.193,2946,2.193,2947,2.193,2948,2.193,2949,3.261,2950,2.193,2951,2.193,2952,2.193,2953,2.193,2954,2.193,2955,2.193,2956,2.193,2957,2.193,2958,2.193,2959,2.193,2960,2.193,2961,2.193,2962,2.193,2963,2.193,2964,2.193,2965,2.193,2966,2.193,2967,2.193,2968,2.193,2969,2.193,2970,2.193,2971,2.193,2972,4.311,2973,2.193,2974,2.193,2975,2.193,2976,3.893,2977,2.193,2978,2.193,2979,2.193,2980,3.205,2981,3.261,2982,3.261,2983,2.193,2984,2.193,2985,2.193,2986,2.193,2987,2.193,2988,2.193,2989,2.193,2990,2.193,2991,2.193,2992,2.193,2993,2.193,2994,3.261,2995,2.193,2996,2.193,2997,2.193,2998,2.193,2999,2.193,3000,2.193,3001,2.193,3002,2.193,3003,2.193,3004,2.193,3005,2.193,3006,2.193,3007,2.193,3008,2.193,3009,2.193,3010,2.193,3011,3.261,3012,3.261,3013,2.193,3014,2.193,3015,2.193,3016,2.193,3017,2.193,3018,2.193,3019,3.261,3020,2.193,3021,2.193,3022,2.193,3023,2.193,3024,2.193]],["t/21",[28,0.159,31,0.015,623,1.033,1084,0.843,3025,1.92]],["b/21",[1,0.018,2,0.17,3,0.03,4,0.028,5,0.018,6,0.018,7,0.039,8,0.025,9,0.018,10,0.018,11,0.018,12,0.018,13,0.026,14,0.029,15,0.018,16,0.312,17,0.028,18,0.018,19,0.018,20,0.032,21,0.07,22,0.155,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.386,29,0.032,30,0.018,31,0.025,32,0.018,33,0.018,34,0.025,35,0.03,36,0.026,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.057,44,0.057,45,0.057,46,0.078,47,0.096,48,0.096,49,0.096,50,0.057,51,0.096,57,1.034,61,0.104,87,0.762,89,0.429,95,0.164,96,0.615,99,0.403,101,0.867,102,2.022,103,1.051,107,0.591,114,0.615,121,0.615,122,1.773,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,137,0.374,148,1.034,151,0.762,154,1.773,164,0.429,165,0.762,174,0.844,175,1.165,184,1.426,194,0.549,244,2.022,252,1.574,255,1.144,261,1.773,360,0.762,363,1.267,369,1.773,469,2.022,470,0.844,478,1.409,502,0.43,505,0.615,515,2.022,517,1.476,525,1.165,566,1.034,568,1.773,576,0.762,578,2.354,617,1.574,623,1.748,629,1.409,630,1.773,701,1.267,708,1.144,772,1.574,783,2.354,786,0.934,811,0.844,819,2.022,823,0.273,824,0.741,826,1.225,875,0.867,889,1.409,891,0.615,898,1.051,899,1.034,901,1.267,904,2.002,906,1.578,931,1.574,932,1.409,940,1.144,952,1.409,959,1.361,977,1.144,1032,2.022,1043,1.748,1057,1.267,1083,1.574,1084,1.632,1086,2.022,1088,1.034,1097,1.773,1098,1.947,1099,1.773,1100,3.193,1101,2.486,1102,2.172,1103,2.022,1104,2.354,1105,0.934,1106,1.578,1108,1.144,1109,2.022,1112,2.022,1113,2.022,1114,1.574,1115,1.409,1116,2.172,1117,2.022,1118,2.022,1120,1.267,1121,1.034,1122,1.267,1131,1.574,1143,0.762,1193,2.446,1218,1.574,1221,2.789,1250,1.034,1352,1.438,1356,1.993,1360,2.205,1386,2.354,1421,0.934,1443,1.773,1545,1.574,1552,2.022,1562,1.773,1607,1.574,1609,1.773,1615,1.289,1786,2.354,1836,2.791,1838,2.481,1847,2.158,1902,1.578,1954,3.019,2043,2.789,2054,2.022,2077,1.267,2099,2.486,2143,1.574,2209,2.022,2251,2.354,2254,2.022,2269,2.717,2353,2.354,2423,2.022,2432,2.399,2480,2.789,2524,4.456,2537,1.409,2557,4.348,2558,4.206,2645,2.354,2648,3.719,2733,2.354,2746,2.022,2758,3.733,2760,2.022,2785,2.354,2786,3.719,2913,2.022,2938,2.022,3025,3.719,3026,2.86,3027,2.86,3028,2.86,3029,2.86,3030,2.86,3031,2.86,3032,5.282,3033,2.86,3034,4.869,3035,4.869,3036,4.869,3037,4.869,3038,4.869,3039,2.86,3040,2.86,3041,2.86,3042,2.86,3043,2.86,3044,2.86,3045,3.248,3046,2.86,3047,2.86,3048,3.248,3049,2.86,3050,5.109,3051,4.206,3052,5.413,3053,2.86,3054,2.86,3055,5.282,3056,2.86,3057,2.86,3058,2.86,3059,2.86,3060,2.86,3061,3.945,3062,2.86,3063,3.945,3064,2.86,3065,4.517,3066,4.517,3067,2.86,3068,3.945,3069,3.945,3070,3.945,3071,2.86,3072,2.86,3073,2.86,3074,2.86,3075,2.86,3076,2.86,3077,2.86,3078,2.86,3079,2.86,3080,2.354,3081,2.86,3082,3.945,3083,2.86,3084,2.86,3085,2.86,3086,2.86,3087,2.86,3088,2.86,3089,2.86,3090,2.86,3091,2.86,3092,2.86,3093,3.945,3094,2.86,3095,3.945,3096,2.86,3097,3.945,3098,2.86,3099,4.517,3100,2.86,3101,2.86,3102,2.86,3103,2.86,3104,2.86,3105,2.86,3106,2.86,3107,2.86,3108,4.517,3109,2.86,3110,2.86,3111,2.86,3112,2.86,3113,3.945,3114,2.86,3115,2.86,3116,2.86,3117,2.86,3118,2.86,3119,2.86,3120,2.86,3121,2.86,3122,2.86,3123,4.869,3124,4.517,3125,3.945,3126,2.86,3127,2.86,3128,2.86,3129,2.86,3130,2.86,3131,2.86,3132,2.86,3133,2.86,3134,2.86,3135,2.86,3136,2.86,3137,2.86,3138,2.86,3139,2.86,3140,2.86,3141,2.86,3142,2.86,3143,2.86,3144,2.86,3145,3.945]],["t/22",[28,0.159,32,0.015,804,1.149,875,0.448,2482,1.648]],["b/22",[1,0.025,2,0.184,3,0.025,4,0.025,5,0.019,6,0.029,7,0.039,8,0.032,9,0.019,10,0.019,11,0.018,12,0.018,13,0.026,14,0.026,15,0.018,16,0.278,17,0.032,18,0.018,19,0.018,20,0.018,21,0.071,22,0.138,23,0.018,24,0.081,25,0.071,26,0.019,27,0.019,28,0.382,29,0.018,30,0.028,31,0.018,32,0.025,33,0.018,34,0.018,35,0.025,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.079,47,0.098,48,0.134,49,0.098,50,0.057,51,0.098,61,0.097,69,0.696,75,1.8,84,0.858,88,1.287,89,0.436,95,0.189,96,0.858,99,0.314,101,0.558,107,0.38,108,0.696,114,1.054,120,0.858,121,0.625,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,164,0.683,165,0.774,172,1.431,176,0.858,194,0.558,195,1.287,205,0.949,216,1.414,243,0.771,249,1.431,255,1.594,261,1.8,298,2.391,363,1.092,382,2.053,403,1.431,471,3.282,474,2.391,478,1.431,525,1.177,552,1.062,566,1.049,572,2.053,623,1.287,690,1.431,693,1.447,707,0.858,750,0.949,752,1.599,772,1.599,791,1.8,804,2.531,822,0.858,823,0.38,824,0.774,826,1.092,868,1.049,875,0.874,880,0.949,891,0.625,898,0.774,899,1.049,901,1.287,904,2.276,906,2.054,916,3.749,917,0.949,931,1.599,937,1.161,940,1.161,941,2.415,949,2.472,959,0.774,1000,1.599,1016,0.774,1064,2.053,1065,3.464,1068,1.287,1071,2.053,1084,1.049,1088,1.049,1103,2.053,1120,1.287,1121,1.049,1122,2.018,1123,1.161,1125,3.218,1131,2.506,1143,0.774,1157,2.391,1218,1.599,1229,1.287,1245,2.053,1250,1.441,1252,2.391,1351,1.303,1352,1.567,1356,2.074,1360,1.161,1397,2.921,1413,2.818,1421,0.949,1428,3.184,1437,1.964,1443,1.8,1447,2.391,1514,2.818,1543,2.053,1545,1.599,1546,1.8,1549,1.8,1588,1.964,1605,2.472,1615,1.678,1616,1.431,1627,1.431,1638,1.599,1643,4.035,1731,3.749,1732,1.599,1737,2.053,1769,2.053,1773,1.431,1847,1.287,1854,2.391,1873,1.599,1954,2.472,1981,2.391,1994,1.287,2143,2.195,2155,2.818,2209,2.053,2284,2.391,2423,2.053,2432,1.431,2451,2.053,2453,2.053,2482,3.218,2537,1.431,2649,2.818,2652,2.391,2655,2.391,2760,2.818,2784,2.391,2787,4.229,2789,2.391,2790,3.282,2791,2.391,2792,3.282,2794,2.391,2895,4.035,2913,2.053,2919,2.391,3045,4.229,3048,3.282,3051,3.749,3080,4.229,3146,2.904,3147,2.904,3148,2.904,3149,2.904,3150,2.904,3151,2.904,3152,3.987,3153,2.904,3154,2.904,3155,3.987,3156,3.987,3157,2.904,3158,2.904,3159,2.904,3160,2.904,3161,3.987,3162,3.987,3163,3.987,3164,3.987,3165,3.987,3166,3.987,3167,3.987,3168,3.987,3169,3.987,3170,3.987,3171,3.987,3172,2.904,3173,2.904,3174,3.987,3175,3.987,3176,4.553,3177,2.904,3178,2.904,3179,2.904,3180,2.904,3181,2.904,3182,2.904,3183,2.904,3184,2.904,3185,2.904,3186,4.553,3187,2.904,3188,2.904,3189,2.904,3190,2.904,3191,2.904,3192,3.987,3193,2.904,3194,2.904,3195,2.904,3196,2.904,3197,2.904,3198,4.553,3199,2.904,3200,3.987,3201,2.391,3202,2.904,3203,2.904,3204,2.904,3205,2.904,3206,2.904,3207,2.904,3208,2.904,3209,3.987,3210,3.987,3211,2.904,3212,3.987,3213,3.987,3214,3.987,3215,2.904,3216,2.904,3217,4.901,3218,2.904,3219,2.904,3220,2.904,3221,2.904,3222,2.904,3223,2.904,3224,2.904,3225,2.904,3226,2.904,3227,2.904,3228,2.904,3229,2.904,3230,2.904,3231,2.904,3232,2.904,3233,4.553,3234,3.987,3235,2.904,3236,2.904,3237,2.904,3238,4.553,3239,4.553,3240,2.904,3241,2.904,3242,2.391,3243,3.987,3244,3.987,3245,3.987,3246,2.904,3247,2.904,3248,2.904,3249,2.904,3250,2.904,3251,2.904,3252,2.904,3253,2.904,3254,2.904,3255,2.904,3256,2.904,3257,3.282,3258,2.904,3259,2.904,3260,2.904,3261,2.391,3262,2.904,3263,2.904,3264,2.904,3265,2.904,3266,2.904,3267,2.904,3268,2.904,3269,2.904,3270,2.904,3271,2.904,3272,2.904,3273,2.904,3274,2.904,3275,2.904,3276,2.904,3277,2.904,3278,2.904,3279,2.904,3280,2.904,3281,2.904,3282,2.904,3283,2.904,3284,3.987,3285,2.904,3286,2.904,3287,2.904,3288,2.904,3289,2.904,3290,3.987,3291,2.904,3292,2.904,3293,2.904]],["t/23",[16,0.126,28,0.159,33,0.015,1209,0.932,1665,1.446]],["b/23",[1,0.029,2,0.196,3,0.029,4,0.026,5,0.02,6,0.027,7,0.039,8,0.033,9,0.02,10,0.02,11,0.019,12,0.019,13,0.03,14,0.027,15,0.019,16,0.291,17,0.026,18,0.019,19,0.019,20,0.033,21,0.073,22,0.14,23,0.019,24,0.083,25,0.073,26,0.02,27,0.02,28,0.386,29,0.026,30,0.019,31,0.026,32,0.019,33,0.031,34,0.026,35,0.019,36,0.027,37,0.02,38,0.019,39,0.019,40,0.019,41,0.027,42,0.019,43,0.06,44,0.06,45,0.06,46,0.081,47,0.102,48,0.138,49,0.102,50,0.06,51,0.102,61,0.06,95,0.175,96,0.653,99,0.239,107,0.397,113,3.333,123,0.02,124,0.02,125,0.02,126,0.02,127,0.02,128,0.02,129,0.02,130,0.02,131,0.02,132,0.02,133,0.02,134,0.02,135,0.02,137,0.397,158,2.144,159,0.397,161,2.024,165,0.808,166,1.67,174,0.896,185,1.495,192,1.881,200,1.203,205,0.991,216,1.094,243,0.455,290,1.096,363,0.985,403,1.495,478,1.495,496,0.653,502,0.391,507,1.096,525,1.213,558,0.991,628,1.67,635,1.096,693,1.213,697,1.213,707,1.674,735,1.344,750,1.342,814,2.144,822,0.896,823,0.546,824,0.732,891,1.122,898,1.094,899,1.484,901,1.82,904,2.383,906,2.15,917,0.991,937,1.862,940,1.213,941,1.495,959,0.808,995,3.886,1000,1.67,1016,0.808,1029,2.498,1036,1.881,1038,2.904,1063,2.498,1068,1.82,1069,2.144,1088,1.484,1105,0.991,1120,1.82,1121,1.484,1122,1.82,1123,1.213,1131,1.67,1141,2.546,1142,1.344,1171,2.498,1185,2.261,1209,2.236,1218,2.261,1229,1.344,1364,1.881,1367,2.904,1374,2.498,1435,2.498,1437,2.459,1543,2.144,1602,1.643,1615,0.991,1619,1.881,1630,2.144,1631,3.382,1638,1.67,1655,2.144,1665,2.546,1666,2.904,1716,2.498,1717,2.498,1732,1.67,1873,1.67,1881,3.834,1882,2.498,1900,2.498,1919,2.546,1942,2.498,1994,1.344,2064,2.498,2070,2.144,2103,2.144,2119,2.887,2121,1.881,2122,1.881,2123,1.881,2124,1.881,2125,1.881,2126,1.881,2129,2.904,2142,2.144,2197,2.144,2198,2.144,2374,1.881,2382,1.495,2390,2.144,2392,2.144,2422,2.498,2424,2.144,2443,3.382,2537,1.495,2654,2.498,2669,2.498,2938,2.144,2980,4.526,3201,2.498,3242,2.498,3257,2.498,3261,2.498,3294,3.034,3295,3.034,3296,3.034,3297,3.034,3298,3.034,3299,3.034,3300,4.108,3301,4.657,3302,3.034,3303,4.108,3304,3.034,3305,3.034,3306,3.034,3307,3.034,3308,3.034,3309,3.034,3310,3.034,3311,4.108,3312,3.034,3313,3.034,3314,3.034,3315,3.034,3316,3.034,3317,3.034,3318,3.034,3319,3.034,3320,3.034,3321,3.034,3322,3.034,3323,3.034,3324,4.108,3325,3.034,3326,3.034,3327,3.034,3328,3.034,3329,3.034,3330,3.034,3331,3.034,3332,3.034,3333,3.034,3334,3.034,3335,3.034,3336,3.034,3337,3.034,3338,3.834,3339,3.034,3340,3.034,3341,3.034,3342,3.034,3343,3.034,3344,3.034,3345,3.034,3346,3.034,3347,4.108,3348,3.034,3349,4.108,3350,3.034,3351,3.034,3352,3.034,3353,3.034,3354,4.108,3355,3.034,3356,3.034,3357,3.034,3358,3.034,3359,3.034,3360,3.034,3361,3.034,3362,3.034,3363,3.034,3364,3.034,3365,3.034,3366,4.991,3367,3.034,3368,3.034,3369,3.034,3370,3.034,3371,3.034,3372,3.034,3373,3.034,3374,3.034,3375,4.108,3376,3.034,3377,3.034,3378,3.034,3379,3.034,3380,3.034,3381,3.034,3382,3.034,3383,3.034,3384,3.034,3385,3.034,3386,3.034,3387,3.034,3388,3.034,3389,3.034,3390,3.034,3391,3.034]],["t/24",[28,0.159,34,0.015,60,0.843,159,0.305,1902,0.932]],["b/24",[1,0.024,2,0.206,3,0.03,4,0.03,5,0.025,6,0.031,7,0.039,8,0.03,9,0.025,10,0.025,11,0.024,12,0.024,13,0.031,14,0.034,15,0.024,16,0.297,17,0.03,18,0.024,19,0.024,20,0.033,21,0.086,22,0.162,23,0.024,24,0.093,25,0.086,26,0.025,27,0.025,28,0.404,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.03,35,0.024,36,0.031,37,0.025,38,0.024,39,0.024,40,0.024,41,0.025,42,0.024,43,0.077,44,0.077,45,0.077,46,0.095,47,0.13,48,0.13,49,0.13,50,0.077,51,0.13,60,1.403,61,0.095,69,0.931,92,1.72,95,0.13,99,0.413,123,0.025,124,0.025,125,0.025,126,0.025,127,0.025,128,0.025,129,0.025,130,0.025,131,0.025,132,0.025,133,0.025,134,0.025,135,0.025,159,0.508,165,1.034,249,1.912,378,0.835,496,1.325,565,1.403,692,1.72,693,1.146,705,1.552,706,1.284,786,1.268,822,1.146,823,0.548,824,0.738,888,1.403,932,1.912,995,3.407,1071,2.744,1088,1.403,1120,1.72,1121,1.403,1122,1.72,1131,2.137,1143,1.034,1239,1.552,1245,2.744,1352,1.146,1372,3.196,1421,1.268,1602,1.552,1605,2.406,1629,2.137,1638,2.137,1822,2.744,1847,1.72,1902,1.552,2070,2.744,2291,3.196,2424,2.744,2432,2.375,2483,3.196,3338,3.969,3392,3.882,3393,3.882,3394,3.882,3395,3.882,3396,3.882,3397,3.882,3398,3.882,3399,3.882,3400,4.821,3401,3.882,3402,3.882,3403,3.882,3404,3.882,3405,3.882,3406,3.882,3407,3.882,3408,3.882,3409,3.882,3410,5.243,3411,3.882,3412,3.882,3413,3.882,3414,3.882,3415,3.882,3416,3.882,3417,3.882,3418,3.882,3419,3.882,3420,3.882,3421,3.882,3422,3.882,3423,3.882,3424,3.882,3425,3.882,3426,3.882,3427,3.882]],["t/25",[7,0.018,1897,1.623,3428,2.949]],["b/25",[1,0.028,2,0.209,3,0.028,4,0.028,5,0.029,6,0.029,7,0.039,8,0.028,9,0.029,10,0.029,11,0.028,12,0.028,13,0.029,14,0.029,15,0.028,16,0.301,17,0.028,18,0.028,19,0.028,20,0.028,21,0.093,22,0.156,23,0.028,24,0.099,25,0.093,26,0.029,27,0.029,28,0.411,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.029,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,123,0.029,124,0.029,125,0.029,126,0.029,127,0.029,128,0.029,129,0.029,130,0.029,131,0.029,132,0.029,133,0.029,134,0.029,135,0.029,173,1.312,517,1.452,719,3.14,1897,2.445]]],"invertedIndex":[["",{"_index":7,"t":{"25":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["0",{"_index":205,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"11":{},"12":{},"15":{},"19":{},"22":{},"23":{}}}],["0.0",{"_index":216,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["0.0001",{"_index":1129,"t":{},"b":{"4":{},"20":{}}}],["0.000692",{"_index":2777,"t":{},"b":{"19":{}}}],["0.001636",{"_index":2849,"t":{},"b":{"20":{}}}],["0.001716",{"_index":2847,"t":{},"b":{"20":{}}}],["0.002",{"_index":2872,"t":{},"b":{"20":{}}}],["0.003",{"_index":2868,"t":{},"b":{"20":{}}}],["0.0031384",{"_index":2855,"t":{},"b":{"20":{}}}],["0.0038344",{"_index":2843,"t":{},"b":{"20":{}}}],["0.0039192",{"_index":2845,"t":{},"b":{"20":{}}}],["0.004",{"_index":2870,"t":{},"b":{"20":{}}}],["0.0056096",{"_index":2851,"t":{},"b":{"20":{}}}],["0.006",{"_index":2869,"t":{},"b":{"20":{}}}],["0.00632",{"_index":202,"t":{},"b":{"1":{},"19":{}}}],["0.007",{"_index":2873,"t":{},"b":{"20":{}}}],["0.00931",{"_index":2782,"t":{},"b":{"19":{}}}],["0.01",{"_index":2867,"t":{},"b":{"20":{}}}],["0.0123",{"_index":2780,"t":{},"b":{"19":{}}}],["0.014946393332429867",{"_index":2633,"t":{},"b":{"18":{}}}],["0.02",{"_index":2871,"t":{},"b":{"20":{}}}],["0.0206",{"_index":2769,"t":{},"b":{"19":{}}}],["0.02729",{"_index":226,"t":{},"b":{"1":{},"19":{}}}],["0.02731",{"_index":215,"t":{},"b":{"1":{},"19":{}}}],["0.03",{"_index":1195,"t":{},"b":{"5":{},"20":{}}}],["0.03237",{"_index":232,"t":{},"b":{"1":{}}}],["0.0352",{"_index":1816,"t":{},"b":{"7":{}}}],["0.04",{"_index":2866,"t":{},"b":{"20":{}}}],["0.0464",{"_index":2768,"t":{},"b":{"19":{}}}],["0.04968535941630985",{"_index":2038,"t":{},"b":{"10":{}}}],["0.05",{"_index":2441,"t":{},"b":{"15":{},"20":{}}}],["0.0556",{"_index":1872,"t":{},"b":{"7":{}}}],["0.06859694610517136",{"_index":2037,"t":{},"b":{"10":{}}}],["0.06905",{"_index":250,"t":{},"b":{"1":{}}}],["0.06917",{"_index":306,"t":{},"b":{"1":{},"19":{}}}],["0.08334382428960498",{"_index":2040,"t":{},"b":{"10":{}}}],["0.09410638348155964",{"_index":2276,"t":{},"b":{"13":{}}}],["0.09988918161681738",{"_index":2047,"t":{},"b":{"10":{}}}],["0.1",{"_index":499,"t":{},"b":{"1":{},"4":{}}}],["0.1*rand(300",{"_index":2010,"t":{},"b":{"10":{},"13":{},"14":{}}}],["0.105386",{"_index":535,"t":{},"b":{"1":{}}}],["0.10592225645600521",{"_index":2035,"t":{},"b":{"10":{}}}],["0.108",{"_index":2767,"t":{},"b":{"19":{}}}],["0.111",{"_index":1871,"t":{},"b":{"7":{}}}],["0.1111111111111111",{"_index":2429,"t":{},"b":{"15":{}}}],["0.115878",{"_index":311,"t":{},"b":{"1":{},"19":{}}}],["0.11590837511873998",{"_index":2023,"t":{},"b":{"10":{}}}],["0.11813112049190187",{"_index":2041,"t":{},"b":{"10":{}}}],["0.124453",{"_index":1756,"t":{},"b":{"7":{}}}],["0.1308465569235377",{"_index":2036,"t":{},"b":{"10":{}}}],["0.14873128247437858",{"_index":2039,"t":{},"b":{"10":{}}}],["0.173664",{"_index":521,"t":{},"b":{"1":{}}}],["0.191073",{"_index":2315,"t":{},"b":{"13":{}}}],["0.19494098436892582",{"_index":2449,"t":{},"b":{"15":{}}}],["0.197753",{"_index":538,"t":{},"b":{"1":{}}}],["0.2",{"_index":460,"t":{},"b":{"1":{},"8":{}}}],["0.228572",{"_index":1762,"t":{},"b":{"7":{}}}],["0.234",{"_index":1637,"t":{},"b":{"6":{}}}],["0.246",{"_index":500,"t":{},"b":{"1":{}}}],["0.25264964046120225",{"_index":2179,"t":{},"b":{"11":{}}}],["0.253994",{"_index":307,"t":{},"b":{"1":{},"19":{}}}],["0.25651",{"_index":296,"t":{},"b":{"1":{}}}],["0.274344",{"_index":1746,"t":{},"b":{"7":{}}}],["0.27465",{"_index":541,"t":{},"b":{"1":{}}}],["0.278",{"_index":1662,"t":{},"b":{"6":{}}}],["0.2999012171698161",{"_index":2277,"t":{},"b":{"13":{}}}],["0.3",{"_index":1035,"t":{},"b":{"4":{},"5":{}}}],["0.3013103535440822",{"_index":2281,"t":{},"b":{"13":{}}}],["0.306",{"_index":2779,"t":{},"b":{"19":{}}}],["0.313798",{"_index":537,"t":{},"b":{"1":{}}}],["0.32",{"_index":344,"t":{},"b":{"1":{}}}],["0.322497",{"_index":540,"t":{},"b":{"1":{}}}],["0.3277498771713516",{"_index":2136,"t":{},"b":{"11":{}}}],["0.35249",{"_index":533,"t":{},"b":{"1":{}}}],["0.360357",{"_index":2854,"t":{},"b":{"20":{}}}],["0.361854",{"_index":1755,"t":{},"b":{"7":{}}}],["0.379064",{"_index":534,"t":{},"b":{"1":{}}}],["0.385",{"_index":308,"t":{},"b":{"1":{}}}],["0.39",{"_index":2256,"t":{},"b":{"12":{}}}],["0.3z",{"_index":988,"t":{},"b":{"4":{}}}],["0.4069405144799101",{"_index":2280,"t":{},"b":{"13":{}}}],["0.4111301767644082",{"_index":2279,"t":{},"b":{"13":{}}}],["0.4174696748484731",{"_index":2563,"t":{},"b":{"17":{}}}],["0.458",{"_index":234,"t":{},"b":{"1":{}}}],["0.46",{"_index":301,"t":{},"b":{"1":{}}}],["0.469",{"_index":218,"t":{},"b":{"1":{},"19":{}}}],["0.469911",{"_index":522,"t":{},"b":{"1":{}}}],["0.5",{"_index":1218,"t":{},"b":{"5":{},"20":{},"21":{},"22":{},"23":{}}}],["0.516171",{"_index":536,"t":{},"b":{"1":{}}}],["0.521",{"_index":2927,"t":{},"b":{"20":{}}}],["0.525",{"_index":2783,"t":{},"b":{"19":{},"20":{}}}],["0.5303646605536807",{"_index":2275,"t":{},"b":{"13":{}}}],["0.538",{"_index":206,"t":{},"b":{"1":{},"19":{}}}],["0.5499402666491009",{"_index":2282,"t":{},"b":{"13":{}}}],["0.551895",{"_index":523,"t":{},"b":{"1":{}}}],["0.554695",{"_index":310,"t":{},"b":{"1":{},"19":{}}}],["0.572359",{"_index":1758,"t":{},"b":{"7":{}}}],["0.58",{"_index":664,"t":{},"b":{"2":{}}}],["0.6",{"_index":501,"t":{},"b":{"1":{},"5":{}}}],["0.625851",{"_index":1752,"t":{},"b":{"7":{}}}],["0.629",{"_index":2931,"t":{},"b":{"20":{}}}],["0.63588",{"_index":539,"t":{},"b":{"1":{}}}],["0.638",{"_index":669,"t":{},"b":{"2":{}}}],["0.690031",{"_index":2314,"t":{},"b":{"13":{}}}],["0.7",{"_index":2012,"t":{},"b":{"10":{},"12":{},"15":{}}}],["0.70",{"_index":900,"t":{},"b":{"4":{},"5":{}}}],["0.702617",{"_index":317,"t":{},"b":{"1":{},"19":{}}}],["0.70999",{"_index":1764,"t":{},"b":{"7":{}}}],["0.7142857142857143",{"_index":1403,"t":{},"b":{"5":{}}}],["0.7222222222222222",{"_index":2083,"t":{},"b":{"10":{}}}],["0.7233074812209765",{"_index":2564,"t":{},"b":{"17":{}}}],["0.75",{"_index":2187,"t":{},"b":{"11":{}}}],["0.776",{"_index":1414,"t":{},"b":{"5":{}}}],["0.777009169833947",{"_index":2278,"t":{},"b":{"13":{}}}],["0.782",{"_index":2929,"t":{},"b":{"20":{}}}],["0.7z",{"_index":989,"t":{},"b":{"4":{}}}],["0.8",{"_index":1790,"t":{},"b":{"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"20":{}}}],["0.805518",{"_index":2695,"t":{},"b":{"18":{}}}],["0.811827",{"_index":1742,"t":{},"b":{"7":{}}}],["0.8285714285714286",{"_index":1432,"t":{},"b":{"5":{}}}],["0.829",{"_index":659,"t":{},"b":{"2":{}}}],["0.831",{"_index":670,"t":{},"b":{"2":{}}}],["0.8495024908781252",{"_index":2283,"t":{},"b":{"13":{}}}],["0.854028",{"_index":2319,"t":{},"b":{"13":{}}}],["0.863",{"_index":665,"t":{},"b":{"2":{}}}],["0.871",{"_index":309,"t":{},"b":{"1":{}}}],["0.9436456234171869",{"_index":2565,"t":{},"b":{"17":{}}}],["0.949",{"_index":1415,"t":{},"b":{"5":{}}}],["0.95",{"_index":2755,"t":{},"b":{"19":{}}}],["0.953",{"_index":2781,"t":{},"b":{"19":{}}}],["0.957449",{"_index":1761,"t":{},"b":{"7":{}}}],["0.9655342205668823",{"_index":2528,"t":{},"b":{"17":{}}}],["0.9933515571990573",{"_index":2529,"t":{},"b":{"17":{}}}],["0.9948656295933646",{"_index":2634,"t":{},"b":{"18":{}}}],["0.998859",{"_index":1754,"t":{},"b":{"7":{}}}],["0.9991510921213993",{"_index":2530,"t":{},"b":{"17":{}}}],["0.9997505816044248",{"_index":2566,"t":{},"b":{"17":{}}}],["0.9998956501446636",{"_index":2567,"t":{},"b":{"17":{}}}],["0.9999999999999998",{"_index":2568,"t":{},"b":{"17":{}}}],["01",{"_index":589,"t":{},"b":{"2":{}}}],["01,2019",{"_index":590,"t":{},"b":{"2":{}}}],["01t00:00:00",{"_index":612,"t":{},"b":{"2":{}}}],["01t00:00:00,true",{"_index":591,"t":{},"b":{"2":{}}}],["02",{"_index":614,"t":{},"b":{"2":{}}}],["02,2019",{"_index":593,"t":{},"b":{"2":{}}}],["02t00:00:00",{"_index":615,"t":{},"b":{"2":{}}}],["02t00:00:00,fals",{"_index":594,"t":{},"b":{"2":{}}}],["03",{"_index":618,"t":{},"b":{"2":{}}}],["03,2019",{"_index":596,"t":{},"b":{"2":{}}}],["03t00:00:00",{"_index":619,"t":{},"b":{"2":{}}}],["03t00:00:00,true",{"_index":597,"t":{},"b":{"2":{}}}],["0x00000001",{"_index":2222,"t":{},"b":{"12":{}}}],["0x00000002",{"_index":2223,"t":{},"b":{"12":{}}}],["0x00000003",{"_index":2221,"t":{},"b":{"12":{}}}],["1",{"_index":99,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["1)more",{"_index":1136,"t":{},"b":{"5":{}}}],["1,1.0,1,one,2019",{"_index":588,"t":{},"b":{"2":{}}}],["1.0",{"_index":496,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"17":{},"18":{},"20":{},"23":{},"24":{}}}],["1.05874",{"_index":2316,"t":{},"b":{"13":{}}}],["1.06167",{"_index":2318,"t":{},"b":{"13":{}}}],["1.1",{"_index":2939,"t":{},"b":{"20":{}}}],["1.11715",{"_index":1744,"t":{},"b":{"7":{}}}],["1.1296",{"_index":323,"t":{},"b":{"1":{}}}],["1.13628",{"_index":2846,"t":{},"b":{"20":{}}}],["1.1363",{"_index":2844,"t":{},"b":{"20":{}}}],["1.13633",{"_index":2856,"t":{},"b":{"20":{}}}],["1.1387",{"_index":2848,"t":{},"b":{"20":{}}}],["1.13877",{"_index":2850,"t":{},"b":{"20":{}}}],["1.14755",{"_index":2852,"t":{},"b":{"20":{}}}],["1.16",{"_index":2255,"t":{},"b":{"12":{}}}],["1.2",{"_index":1826,"t":{},"b":{"7":{},"20":{}}}],["1.3",{"_index":466,"t":{},"b":{"1":{},"4":{},"8":{},"13":{}}}],["1.348",{"_index":666,"t":{},"b":{"2":{}}}],["1.35423",{"_index":2317,"t":{},"b":{"13":{}}}],["1.4",{"_index":459,"t":{},"b":{"1":{},"8":{}}}],["1.40902",{"_index":2842,"t":{},"b":{"20":{}}}],["1.453",{"_index":661,"t":{},"b":{"2":{}}}],["1.4606176614761353",{"_index":1349,"t":{},"b":{"5":{}}}],["1.4607505798339844",{"_index":1350,"t":{},"b":{"5":{}}}],["1.4607977867126465",{"_index":1348,"t":{},"b":{"5":{}}}],["1.4609676599502563",{"_index":1347,"t":{},"b":{"5":{}}}],["1.4611939191818237",{"_index":1346,"t":{},"b":{"5":{}}}],["1.461545467376709",{"_index":1344,"t":{},"b":{"5":{}}}],["1.4615777730941772",{"_index":1345,"t":{},"b":{"5":{}}}],["1.4619566202163696",{"_index":1343,"t":{},"b":{"5":{}}}],["1.462",{"_index":497,"t":{},"b":{"1":{}}}],["1.4620307683944702",{"_index":1342,"t":{},"b":{"5":{}}}],["1.4620510339736938",{"_index":1341,"t":{},"b":{"5":{}}}],["1.462222695350647",{"_index":1340,"t":{},"b":{"5":{}}}],["1.4623528718948364",{"_index":1337,"t":{},"b":{"5":{}}}],["1.4624465703964233",{"_index":1339,"t":{},"b":{"5":{}}}],["1.462546467781067",{"_index":1336,"t":{},"b":{"5":{}}}],["1.4626270532608032",{"_index":1338,"t":{},"b":{"5":{}}}],["1.4626370668411255",{"_index":1335,"t":{},"b":{"5":{}}}],["1.4626812934875488",{"_index":1334,"t":{},"b":{"5":{}}}],["1.463156819343567",{"_index":1333,"t":{},"b":{"5":{}}}],["1.4633418321609497",{"_index":1332,"t":{},"b":{"5":{}}}],["1.4635329246520996",{"_index":1331,"t":{},"b":{"5":{}}}],["1.4638872146606445",{"_index":1329,"t":{},"b":{"5":{}}}],["1.4639283418655396",{"_index":1330,"t":{},"b":{"5":{}}}],["1.4643359184265137",{"_index":1328,"t":{},"b":{"5":{}}}],["1.46450936794281",{"_index":1327,"t":{},"b":{"5":{}}}],["1.4652198553085327",{"_index":1326,"t":{},"b":{"5":{}}}],["1.4653849601745605",{"_index":1325,"t":{},"b":{"5":{}}}],["1.4660505056381226",{"_index":1324,"t":{},"b":{"5":{}}}],["1.4661484956741333",{"_index":1323,"t":{},"b":{"5":{}}}],["1.4661507606506348",{"_index":1322,"t":{},"b":{"5":{}}}],["1.4666513204574585",{"_index":1321,"t":{},"b":{"5":{}}}],["1.4671438932418823",{"_index":1319,"t":{},"b":{"5":{}}}],["1.4673799276351929",{"_index":1320,"t":{},"b":{"5":{}}}],["1.4676014184951782",{"_index":1318,"t":{},"b":{"5":{}}}],["1.4679924249649048",{"_index":1316,"t":{},"b":{"5":{}}}],["1.468157172203064",{"_index":1317,"t":{},"b":{"5":{}}}],["1.4682527780532837",{"_index":1315,"t":{},"b":{"5":{}}}],["1.4691001176834106",{"_index":1314,"t":{},"b":{"5":{}}}],["1.4691554307937622",{"_index":1313,"t":{},"b":{"5":{}}}],["1.4697991609573364",{"_index":1312,"t":{},"b":{"5":{}}}],["1.470677375793457",{"_index":1311,"t":{},"b":{"5":{}}}],["1.47074556350708",{"_index":1310,"t":{},"b":{"5":{}}}],["1.4713517427444458",{"_index":1309,"t":{},"b":{"5":{}}}],["1.4715490341186523",{"_index":1308,"t":{},"b":{"5":{}}}],["1.4726825952529907",{"_index":1307,"t":{},"b":{"5":{}}}],["1.4731879234313965",{"_index":1306,"t":{},"b":{"5":{}}}],["1.4732745885849",{"_index":1305,"t":{},"b":{"5":{}}}],["1.4743404388427734",{"_index":1302,"t":{},"b":{"5":{}}}],["1.4751825332641602",{"_index":1304,"t":{},"b":{"5":{}}}],["1.475905418395996",{"_index":1301,"t":{},"b":{"5":{}}}],["1.4762519598007202",{"_index":1303,"t":{},"b":{"5":{}}}],["1.4783",{"_index":2853,"t":{},"b":{"20":{}}}],["1.48",{"_index":2778,"t":{},"b":{"19":{}}}],["1.5",{"_index":714,"t":{},"b":{"3":{},"5":{},"20":{}}}],["1.57653",{"_index":2694,"t":{},"b":{"18":{}}}],["1.5909",{"_index":1757,"t":{},"b":{"7":{}}}],["1.676",{"_index":660,"t":{},"b":{"2":{}}}],["1.70578",{"_index":2678,"t":{},"b":{"18":{}}}],["1.73",{"_index":349,"t":{},"b":{"1":{}}}],["1.9",{"_index":498,"t":{},"b":{"1":{}}}],["10",{"_index":35,"t":{"17":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["10.0",{"_index":3324,"t":{},"b":{"23":{}}}],["10.06",{"_index":3325,"t":{},"b":{"23":{}}}],["10.4",{"_index":1577,"t":{},"b":{"6":{}}}],["100",{"_index":1359,"t":{},"b":{"5":{},"6":{},"15":{}}}],["100.0",{"_index":298,"t":{},"b":{"1":{},"22":{}}}],["1000",{"_index":2155,"t":{},"b":{"11":{},"20":{},"22":{}}}],["104",{"_index":2211,"t":{},"b":{"12":{}}}],["104.469",{"_index":2682,"t":{},"b":{"18":{}}}],["104.644",{"_index":2681,"t":{},"b":{"18":{}}}],["105",{"_index":1258,"t":{},"b":{"5":{}}}],["1050",{"_index":1725,"t":{},"b":{"7":{}}}],["1065",{"_index":1724,"t":{},"b":{"7":{}}}],["10x10",{"_index":2071,"t":{},"b":{"10":{}}}],["11",{"_index":337,"t":{},"b":{"1":{},"7":{},"19":{}}}],["11.0",{"_index":2669,"t":{},"b":{"18":{},"23":{}}}],["11.1368",{"_index":303,"t":{},"b":{"1":{},"19":{}}}],["11.22",{"_index":3318,"t":{},"b":{"23":{}}}],["11.36",{"_index":352,"t":{},"b":{"1":{}}}],["11.3636",{"_index":299,"t":{},"b":{"1":{},"19":{}}}],["11.5",{"_index":1585,"t":{},"b":{"6":{},"9":{},"18":{}}}],["110.0",{"_index":3260,"t":{},"b":{"22":{}}}],["1100",{"_index":3217,"t":{},"b":{"22":{}}}],["111.0",{"_index":3319,"t":{},"b":{"23":{}}}],["113.0",{"_index":3326,"t":{},"b":{"23":{}}}],["114",{"_index":1259,"t":{},"b":{"5":{}}}],["11443.0",{"_index":857,"t":{},"b":{"4":{}}}],["1185",{"_index":1726,"t":{},"b":{"7":{}}}],["12",{"_index":343,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"11":{},"19":{}}}],["12.0",{"_index":2654,"t":{},"b":{"18":{},"23":{}}}],["12.1265",{"_index":324,"t":{},"b":{"1":{}}}],["12.6",{"_index":338,"t":{},"b":{"1":{}}}],["12.6531",{"_index":351,"t":{},"b":{"1":{},"19":{}}}],["120.0",{"_index":3316,"t":{},"b":{"23":{}}}],["123",{"_index":1260,"t":{},"b":{"5":{}}}],["1250",{"_index":2825,"t":{},"b":{"20":{}}}],["13",{"_index":348,"t":{},"b":{"1":{},"7":{},"19":{}}}],["13.0006",{"_index":1741,"t":{},"b":{"7":{}}}],["13.1",{"_index":1576,"t":{},"b":{"6":{}}}],["13.9",{"_index":1579,"t":{},"b":{"6":{}}}],["130.0",{"_index":2652,"t":{},"b":{"18":{},"22":{}}}],["1300",{"_index":3214,"t":{},"b":{"22":{}}}],["133",{"_index":1261,"t":{},"b":{"5":{},"6":{}}}],["138.0",{"_index":3313,"t":{},"b":{"23":{}}}],["138000.0",{"_index":871,"t":{},"b":{"4":{}}}],["14",{"_index":354,"t":{},"b":{"1":{},"19":{}}}],["14.2825",{"_index":1750,"t":{},"b":{"7":{}}}],["14.4748",{"_index":2512,"t":{},"b":{"17":{}}}],["140.0",{"_index":3254,"t":{},"b":{"22":{}}}],["141",{"_index":2916,"t":{},"b":{"20":{}}}],["142",{"_index":1262,"t":{},"b":{"5":{}}}],["144",{"_index":2915,"t":{},"b":{"20":{}}}],["1456",{"_index":830,"t":{},"b":{"4":{}}}],["1460.0",{"_index":856,"t":{},"b":{"4":{}}}],["1480",{"_index":1727,"t":{},"b":{"7":{}}}],["15",{"_index":428,"t":{},"b":{"1":{},"10":{}}}],["15.0",{"_index":2659,"t":{},"b":{"18":{}}}],["15.3",{"_index":211,"t":{},"b":{"1":{},"19":{}}}],["15.5",{"_index":2689,"t":{},"b":{"18":{}}}],["15.5413",{"_index":2688,"t":{},"b":{"18":{}}}],["150.0",{"_index":2667,"t":{},"b":{"18":{}}}],["1509.0",{"_index":861,"t":{},"b":{"4":{}}}],["151",{"_index":1263,"t":{},"b":{"5":{}}}],["151.0",{"_index":2680,"t":{},"b":{"18":{}}}],["16",{"_index":430,"t":{},"b":{"1":{},"15":{},"18":{}}}],["16.0",{"_index":3257,"t":{},"b":{"22":{},"23":{}}}],["16.1",{"_index":1156,"t":{},"b":{"5":{}}}],["160",{"_index":1264,"t":{},"b":{"5":{}}}],["165",{"_index":1972,"t":{},"b":{"9":{}}}],["165.0",{"_index":2661,"t":{},"b":{"18":{}}}],["168",{"_index":1974,"t":{},"b":{"9":{}}}],["168.537",{"_index":336,"t":{},"b":{"1":{},"19":{}}}],["169",{"_index":1265,"t":{},"b":{"5":{}}}],["16])3",{"_index":2623,"t":{},"b":{"18":{}}}],["17",{"_index":432,"t":{},"b":{"1":{}}}],["17.0",{"_index":3261,"t":{},"b":{"22":{},"23":{}}}],["17.025000",{"_index":2114,"t":{},"b":{"11":{}}}],["17.2",{"_index":1578,"t":{},"b":{"6":{}}}],["17.5",{"_index":1574,"t":{},"b":{"6":{}}}],["17.8",{"_index":223,"t":{},"b":{"1":{},"19":{}}}],["170.76",{"_index":2509,"t":{},"b":{"17":{}}}],["173",{"_index":1973,"t":{},"b":{"9":{}}}],["178",{"_index":1970,"t":{},"b":{"9":{}}}],["179",{"_index":1266,"t":{},"b":{"5":{}}}],["179454.34347399411",{"_index":926,"t":{},"b":{"4":{}}}],["18",{"_index":435,"t":{},"b":{"1":{}}}],["18.0",{"_index":203,"t":{},"b":{"1":{},"18":{},"19":{}}}],["18.1",{"_index":1161,"t":{},"b":{"5":{}}}],["18.4555",{"_index":340,"t":{},"b":{"1":{},"19":{}}}],["18.7",{"_index":239,"t":{},"b":{"1":{}}}],["18.9",{"_index":1571,"t":{},"b":{"6":{}}}],["180000.0",{"_index":873,"t":{},"b":{"4":{}}}],["1868.0",{"_index":855,"t":{},"b":{"4":{}}}],["187",{"_index":332,"t":{},"b":{"1":{}}}],["188",{"_index":414,"t":{},"b":{"1":{},"5":{}}}],["1893.0",{"_index":3292,"t":{},"b":{"22":{}}}],["19",{"_index":131,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["19.0",{"_index":1157,"t":{},"b":{"5":{},"22":{}}}],["19.05",{"_index":341,"t":{},"b":{"1":{}}}],["19.287175510952146",{"_index":3085,"t":{},"b":{"21":{}}}],["19.381831638657914",{"_index":3087,"t":{},"b":{"21":{}}}],["19.4",{"_index":1573,"t":{},"b":{"6":{}}}],["19.4949",{"_index":1747,"t":{},"b":{"7":{}}}],["194",{"_index":1971,"t":{},"b":{"9":{}}}],["194.412",{"_index":2679,"t":{},"b":{"18":{}}}],["197",{"_index":1267,"t":{},"b":{"5":{}}}],["1982",{"_index":852,"t":{},"b":{"4":{}}}],["1:10",{"_index":3108,"t":{},"b":{"21":{}}}],["1:1000",{"_index":3004,"t":{},"b":{"20":{}}}],["1:2]5×2",{"_index":260,"t":{},"b":{"1":{}}}],["1:3]3×3",{"_index":396,"t":{},"b":{"1":{}}}],["1:5",{"_index":673,"t":{},"b":{"2":{}}}],["1:findlast(x.year",{"_index":2933,"t":{},"b":{"20":{}}}],["1:i",{"_index":3111,"t":{},"b":{"21":{}}}],["1:nrows(data_test",{"_index":1505,"t":{},"b":{"6":{}}}],["1:nrows(data_train",{"_index":1503,"t":{},"b":{"6":{}}}],["1=adult",{"_index":1530,"t":{},"b":{"6":{}}}],["1=ye",{"_index":1528,"t":{},"b":{"6":{}}}],["1_000",{"_index":2628,"t":{},"b":{"18":{}}}],["1e",{"_index":2550,"t":{},"b":{"17":{}}}],["1exampl",{"_index":547,"t":{},"b":{"2":{}}}],["1st",{"_index":2112,"t":{},"b":{"11":{}}}],["1…02",{"_index":2016,"t":{},"b":{"10":{}}}],["1…03",{"_index":2356,"t":{},"b":{"14":{}}}],["1…07",{"_index":3033,"t":{},"b":{"21":{}}}],["1…13",{"_index":2014,"t":{},"b":{"10":{}}}],["1…17",{"_index":1379,"t":{},"b":{"5":{},"14":{}}}],["1…25",{"_index":1236,"t":{},"b":{"5":{}}}],["1…28",{"_index":986,"t":{},"b":{"4":{},"14":{}}}],["1…34",{"_index":1961,"t":{},"b":{"8":{}}}],["1…35",{"_index":969,"t":{},"b":{"4":{}}}],["1…37",{"_index":2744,"t":{},"b":{"19":{}}}],["1…43",{"_index":983,"t":{},"b":{"4":{}}}],["1…48",{"_index":1419,"t":{},"b":{"5":{}}}],["1…54",{"_index":1652,"t":{},"b":{"6":{}}}],["1…58",{"_index":1610,"t":{},"b":{"6":{}}}],["1…64",{"_index":2300,"t":{},"b":{"13":{}}}],["1…71",{"_index":1786,"t":{},"b":{"7":{},"21":{}}}],["1…72",{"_index":1096,"t":{},"b":{"4":{}}}],["1…74",{"_index":2749,"t":{},"b":{"19":{}}}],["1…75",{"_index":2400,"t":{},"b":{"15":{}}}],["1…88",{"_index":2416,"t":{},"b":{"15":{}}}],["1…90",{"_index":2361,"t":{},"b":{"14":{}}}],["1…98",{"_index":2127,"t":{},"b":{"11":{}}}],["2",{"_index":22,"t":{"11":{},"14":{},"18":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2))2×2",{"_index":2612,"t":{},"b":{"18":{}}}],["2)2×13",{"_index":273,"t":{},"b":{"1":{}}}],["2)2×2",{"_index":280,"t":{},"b":{"1":{},"18":{}}}],["2)2×3",{"_index":268,"t":{},"b":{"1":{}}}],["2)more",{"_index":1137,"t":{},"b":{"5":{}}}],["2,2.0,2,two,2019",{"_index":592,"t":{},"b":{"2":{}}}],["2.0",{"_index":613,"t":{},"b":{"2":{},"15":{},"18":{}}}],["2.02927",{"_index":1753,"t":{},"b":{"7":{}}}],["2.10571",{"_index":327,"t":{},"b":{"1":{},"19":{}}}],["2.125",{"_index":668,"t":{},"b":{"2":{}}}],["2.16495",{"_index":342,"t":{},"b":{"1":{},"19":{}}}],["2.18",{"_index":233,"t":{},"b":{"1":{}}}],["2.189",{"_index":663,"t":{},"b":{"2":{}}}],["2.220446049250313e",{"_index":2414,"t":{},"b":{"15":{}}}],["2.29511",{"_index":1751,"t":{},"b":{"7":{}}}],["2.3",{"_index":493,"t":{},"b":{"1":{},"3":{}}}],["2.31",{"_index":204,"t":{},"b":{"1":{},"19":{}}}],["2.31829",{"_index":1760,"t":{},"b":{"7":{}}}],["2.33635",{"_index":1743,"t":{},"b":{"7":{}}}],["2.36652",{"_index":1745,"t":{},"b":{"7":{}}}],["2.5",{"_index":1051,"t":{},"b":{"4":{}}}],["2.61169",{"_index":1763,"t":{},"b":{"7":{}}}],["2.69",{"_index":2775,"t":{},"b":{"19":{}}}],["2.75886",{"_index":2690,"t":{},"b":{"18":{}}}],["2.9",{"_index":319,"t":{},"b":{"1":{}}}],["2.94",{"_index":241,"t":{},"b":{"1":{}}}],["20",{"_index":1549,"t":{},"b":{"6":{},"7":{},"10":{},"22":{}}}],["20.8",{"_index":1162,"t":{},"b":{"5":{}}}],["20.82",{"_index":3139,"t":{},"b":{"21":{}}}],["20.83",{"_index":3131,"t":{},"b":{"21":{}}}],["20.89",{"_index":3133,"t":{},"b":{"21":{}}}],["200",{"_index":1146,"t":{},"b":{"5":{}}}],["2003",{"_index":851,"t":{},"b":{"4":{}}}],["2003.02",{"_index":2841,"t":{},"b":{"20":{}}}],["2005",{"_index":860,"t":{},"b":{"4":{},"20":{}}}],["2006",{"_index":859,"t":{},"b":{"4":{}}}],["2019",{"_index":611,"t":{},"b":{"2":{}}}],["2020",{"_index":132,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2028.0",{"_index":853,"t":{},"b":{"4":{}}}],["206",{"_index":1268,"t":{},"b":{"5":{}}}],["21.0",{"_index":3262,"t":{},"b":{"22":{}}}],["21.11",{"_index":3140,"t":{},"b":{"21":{}}}],["21.2",{"_index":357,"t":{},"b":{"1":{}}}],["21.200000",{"_index":2115,"t":{},"b":{"11":{}}}],["21.232",{"_index":2513,"t":{},"b":{"17":{}}}],["21.24",{"_index":3137,"t":{},"b":{"21":{}}}],["21.27",{"_index":3134,"t":{},"b":{"21":{}}}],["21.6",{"_index":225,"t":{},"b":{"1":{},"19":{}}}],["215",{"_index":1269,"t":{},"b":{"5":{}}}],["22.0",{"_index":339,"t":{},"b":{"1":{}}}],["22.4",{"_index":1166,"t":{},"b":{"5":{}}}],["22.5328",{"_index":356,"t":{},"b":{"1":{},"19":{}}}],["22.532806",{"_index":2110,"t":{},"b":{"11":{}}}],["22.7",{"_index":1575,"t":{},"b":{"6":{}}}],["22.75",{"_index":2675,"t":{},"b":{"18":{}}}],["222",{"_index":238,"t":{},"b":{"1":{}}}],["223.05",{"_index":3135,"t":{},"b":{"21":{}}}],["224",{"_index":1270,"t":{},"b":{"5":{}}}],["225",{"_index":3047,"t":{},"b":{"21":{}}}],["23",{"_index":1964,"t":{},"b":{"9":{}}}],["23.3225",{"_index":300,"t":{},"b":{"1":{},"19":{}}}],["23.4459",{"_index":2674,"t":{},"b":{"18":{}}}],["23.493990895007986",{"_index":3084,"t":{},"b":{"21":{}}}],["230.0",{"_index":3258,"t":{},"b":{"22":{}}}],["234",{"_index":1271,"t":{},"b":{"5":{}}}],["24",{"_index":328,"t":{},"b":{"1":{},"19":{}}}],["24.0",{"_index":214,"t":{},"b":{"1":{},"19":{}}}],["242",{"_index":222,"t":{},"b":{"1":{},"19":{}}}],["243",{"_index":1272,"t":{},"b":{"5":{}}}],["25",{"_index":1966,"t":{},"b":{"9":{}}}],["25.000000",{"_index":2117,"t":{},"b":{"11":{}}}],["25.63",{"_index":3132,"t":{},"b":{"21":{}}}],["250",{"_index":2153,"t":{},"b":{"11":{}}}],["2500",{"_index":3196,"t":{},"b":{"22":{}}}],["252",{"_index":1273,"t":{},"b":{"5":{}}}],["256",{"_index":1204,"t":{},"b":{"5":{}}}],["25th",{"_index":370,"t":{},"b":{"1":{}}}],["260.0",{"_index":3321,"t":{},"b":{"23":{}}}],["261",{"_index":1274,"t":{},"b":{"5":{}}}],["269.0",{"_index":3328,"t":{},"b":{"23":{}}}],["27.33",{"_index":3138,"t":{},"b":{"21":{}}}],["27.74",{"_index":302,"t":{},"b":{"1":{}}}],["27.825594022071243",{"_index":1651,"t":{},"b":{"6":{}}}],["270",{"_index":1275,"t":{},"b":{"5":{}}}],["276.0",{"_index":3315,"t":{},"b":{"23":{}}}],["28",{"_index":1493,"t":{},"b":{"6":{},"7":{}}}],["28.1489",{"_index":322,"t":{},"b":{"1":{},"19":{}}}],["280",{"_index":1276,"t":{},"b":{"5":{}}}],["2803.5",{"_index":2686,"t":{},"b":{"18":{}}}],["289",{"_index":1277,"t":{},"b":{"5":{}}}],["295",{"_index":417,"t":{},"b":{"1":{}}}],["296",{"_index":210,"t":{},"b":{"1":{},"19":{}}}],["2977.58",{"_index":2685,"t":{},"b":{"18":{}}}],["298",{"_index":1278,"t":{},"b":{"5":{}}}],["2=no",{"_index":1529,"t":{},"b":{"6":{}}}],["2=young",{"_index":1531,"t":{},"b":{"6":{}}}],["2]]x[1",{"_index":2638,"t":{},"b":{"18":{}}}],["2d",{"_index":1822,"t":{},"b":{"7":{},"11":{},"24":{}}}],["2in",{"_index":548,"t":{},"b":{"2":{}}}],["2x.x1",{"_index":2439,"t":{},"b":{"15":{}}}],["2x3",{"_index":2271,"t":{},"b":{"13":{},"14":{}}}],["2xraw[:,3",{"_index":2009,"t":{},"b":{"10":{}}}],["2…23",{"_index":961,"t":{},"b":{"4":{}}}],["2…24",{"_index":2247,"t":{},"b":{"12":{}}}],["2…50",{"_index":2205,"t":{},"b":{"12":{}}}],["2…80",{"_index":1079,"t":{},"b":{"4":{}}}],["2…81",{"_index":2418,"t":{},"b":{"15":{}}}],["3",{"_index":29,"t":{"19":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["3)3×14",{"_index":2736,"t":{},"b":{"19":{}}}],["3)3×4",{"_index":385,"t":{},"b":{"1":{}}}],["3)3×5",{"_index":451,"t":{},"b":{"1":{},"2":{}}}],["3)3×7",{"_index":657,"t":{},"b":{"2":{}}}],["3)3×9",{"_index":2644,"t":{},"b":{"18":{}}}],["3)thi",{"_index":1138,"t":{},"b":{"5":{}}}],["3,3.0,3.14,three,2019",{"_index":595,"t":{},"b":{"2":{}}}],["3.0",{"_index":463,"t":{},"b":{"1":{},"2":{},"8":{},"15":{},"18":{}}}],["3.115",{"_index":667,"t":{},"b":{"2":{}}}],["3.14",{"_index":616,"t":{},"b":{"2":{}}}],["3.2",{"_index":465,"t":{},"b":{"1":{},"8":{}}}],["3.20745",{"_index":326,"t":{},"b":{"1":{}}}],["3.26",{"_index":658,"t":{},"b":{"2":{}}}],["3.33956",{"_index":1748,"t":{},"b":{"7":{}}}],["3.428",{"_index":494,"t":{},"b":{"1":{}}}],["3.5",{"_index":458,"t":{},"b":{"1":{},"8":{}}}],["3.531",{"_index":671,"t":{},"b":{"2":{}}}],["3.561",{"_index":313,"t":{},"b":{"1":{}}}],["3.61352",{"_index":295,"t":{},"b":{"1":{},"19":{}}}],["3.68374",{"_index":2693,"t":{},"b":{"18":{}}}],["3.77",{"_index":662,"t":{},"b":{"2":{}}}],["3.79504",{"_index":325,"t":{},"b":{"1":{},"19":{}}}],["3.81",{"_index":2776,"t":{},"b":{"19":{}}}],["30",{"_index":1519,"t":{},"b":{"6":{},"7":{},"8":{}}}],["300",{"_index":1492,"t":{},"b":{"6":{},"11":{}}}],["301",{"_index":419,"t":{},"b":{"1":{}}}],["307",{"_index":1279,"t":{},"b":{"5":{}}}],["307.0",{"_index":2651,"t":{},"b":{"18":{}}}],["309",{"_index":1557,"t":{},"b":{"6":{}}}],["314.907",{"_index":1766,"t":{},"b":{"7":{}}}],["316",{"_index":1280,"t":{},"b":{"5":{}}}],["318.0",{"_index":2666,"t":{},"b":{"18":{}}}],["320",{"_index":2665,"t":{},"b":{"18":{}}}],["322",{"_index":3160,"t":{},"b":{"22":{}}}],["326",{"_index":1281,"t":{},"b":{"5":{}}}],["33",{"_index":2140,"t":{},"b":{"11":{}}}],["33.4",{"_index":242,"t":{},"b":{"1":{}}}],["330.0",{"_index":335,"t":{},"b":{"1":{}}}],["335",{"_index":1282,"t":{},"b":{"5":{}}}],["34",{"_index":1965,"t":{},"b":{"9":{}}}],["34.6",{"_index":2756,"t":{},"b":{"19":{}}}],["34.7",{"_index":231,"t":{},"b":{"1":{},"6":{},"19":{}}}],["3436.0",{"_index":2668,"t":{},"b":{"18":{}}}],["344",{"_index":1283,"t":{},"b":{"5":{}}}],["348",{"_index":2990,"t":{},"b":{"20":{}}}],["35.0",{"_index":3327,"t":{},"b":{"23":{}}}],["35.5",{"_index":1580,"t":{},"b":{"6":{}}}],["350.0",{"_index":2660,"t":{},"b":{"18":{}}}],["3504.0",{"_index":2653,"t":{},"b":{"18":{}}}],["353",{"_index":1284,"t":{},"b":{"5":{}}}],["356.674",{"_index":345,"t":{},"b":{"1":{},"19":{}}}],["36",{"_index":434,"t":{},"b":{"1":{}}}],["36.1",{"_index":1581,"t":{},"b":{"6":{}}}],["36.5",{"_index":2770,"t":{},"b":{"19":{}}}],["362",{"_index":1285,"t":{},"b":{"5":{}}}],["3693.0",{"_index":2662,"t":{},"b":{"18":{}}}],["369900.0",{"_index":872,"t":{},"b":{"4":{}}}],["37.97",{"_index":350,"t":{},"b":{"1":{}}}],["371",{"_index":1286,"t":{},"b":{"5":{}}}],["38.0",{"_index":3253,"t":{},"b":{"22":{}}}],["38.4912",{"_index":2684,"t":{},"b":{"18":{}}}],["381",{"_index":1287,"t":{},"b":{"5":{}}}],["39.1",{"_index":1583,"t":{},"b":{"6":{}}}],["390",{"_index":1288,"t":{},"b":{"5":{}}}],["391.44",{"_index":346,"t":{},"b":{"1":{}}}],["392",{"_index":2704,"t":{},"b":{"18":{}}}],["392.83",{"_index":229,"t":{},"b":{"1":{},"19":{}}}],["393.0",{"_index":867,"t":{},"b":{"4":{}}}],["394.63",{"_index":240,"t":{},"b":{"1":{}}}],["396.9",{"_index":212,"t":{},"b":{"1":{},"19":{}}}],["399",{"_index":1289,"t":{},"b":{"5":{}}}],["3rd",{"_index":2116,"t":{},"b":{"11":{}}}],["3…71",{"_index":3077,"t":{},"b":{"21":{}}}],["3…96",{"_index":3358,"t":{},"b":{"23":{}}}],["4",{"_index":30,"t":{"20":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["4)4×14",{"_index":198,"t":{},"b":{"1":{}}}],["4.0",{"_index":2624,"t":{},"b":{"18":{}}}],["4.019392784926215",{"_index":2178,"t":{},"b":{"11":{}}}],["4.03",{"_index":230,"t":{},"b":{"1":{},"19":{}}}],["4.09",{"_index":209,"t":{},"b":{"1":{},"19":{}}}],["4.1",{"_index":3255,"t":{},"b":{"22":{}}}],["4.26",{"_index":511,"t":{},"b":{"1":{}}}],["4.3",{"_index":490,"t":{},"b":{"1":{}}}],["4.35551",{"_index":2508,"t":{},"b":{"17":{}}}],["4.4",{"_index":495,"t":{},"b":{"1":{}}}],["4.7",{"_index":464,"t":{},"b":{"1":{},"8":{}}}],["4.9",{"_index":462,"t":{},"b":{"1":{},"8":{}}}],["4.9671",{"_index":221,"t":{},"b":{"1":{},"19":{}}}],["4.98",{"_index":213,"t":{},"b":{"1":{},"19":{}}}],["40",{"_index":2212,"t":{},"b":{"12":{}}}],["408",{"_index":1290,"t":{},"b":{"5":{}}}],["408.237",{"_index":334,"t":{},"b":{"1":{},"19":{}}}],["417",{"_index":1291,"t":{},"b":{"5":{}}}],["42.0",{"_index":3317,"t":{},"b":{"23":{}}}],["427",{"_index":1292,"t":{},"b":{"5":{}}}],["436",{"_index":1293,"t":{},"b":{"5":{}}}],["445",{"_index":1294,"t":{},"b":{"5":{}}}],["45",{"_index":1721,"t":{},"b":{"7":{},"9":{}}}],["45.8",{"_index":236,"t":{},"b":{"1":{}}}],["454",{"_index":1295,"t":{},"b":{"5":{}}}],["458",{"_index":2917,"t":{},"b":{"20":{}}}],["46",{"_index":427,"t":{},"b":{"1":{}}}],["463",{"_index":1296,"t":{},"b":{"5":{}}}],["47.0",{"_index":3263,"t":{},"b":{"22":{}}}],["472",{"_index":1297,"t":{},"b":{"5":{}}}],["48.0",{"_index":3320,"t":{},"b":{"23":{}}}],["482",{"_index":1298,"t":{},"b":{"5":{}}}],["491",{"_index":1299,"t":{},"b":{"5":{}}}],["4]2×2",{"_index":2607,"t":{},"b":{"18":{}}}],["4…06",{"_index":2405,"t":{},"b":{"15":{}}}],["4…17",{"_index":1095,"t":{},"b":{"4":{}}}],["4…32",{"_index":3120,"t":{},"b":{"21":{}}}],["4…47",{"_index":2339,"t":{},"b":{"13":{}}}],["4…51",{"_index":1077,"t":{},"b":{"4":{}}}],["4…54",{"_index":3121,"t":{},"b":{"21":{}}}],["4…66",{"_index":1078,"t":{},"b":{"4":{}}}],["4…70",{"_index":2445,"t":{},"b":{"15":{}}}],["5",{"_index":31,"t":{"21":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["5.0",{"_index":330,"t":{},"b":{"1":{},"13":{}}}],["5.000000",{"_index":2111,"t":{},"b":{"11":{}}}],["5.006",{"_index":491,"t":{},"b":{"1":{}}}],["5.05809",{"_index":1759,"t":{},"b":{"7":{}}}],["5.1",{"_index":457,"t":{},"b":{"1":{},"8":{}}}],["5.47194",{"_index":2677,"t":{},"b":{"18":{}}}],["5.552",{"_index":512,"t":{},"b":{"1":{}}}],["5.8",{"_index":492,"t":{},"b":{"1":{}}}],["50",{"_index":1252,"t":{},"b":{"5":{},"22":{}}}],["50.0",{"_index":355,"t":{},"b":{"1":{}}}],["50.000000",{"_index":2118,"t":{},"b":{"11":{}}}],["500",{"_index":1300,"t":{},"b":{"5":{},"11":{}}}],["506",{"_index":744,"t":{},"b":{"3":{},"11":{}}}],["507",{"_index":2918,"t":{},"b":{"20":{}}}],["52.7",{"_index":1586,"t":{},"b":{"6":{}}}],["5474",{"_index":2989,"t":{},"b":{"20":{}}}],["55",{"_index":2213,"t":{},"b":{"12":{}}}],["59",{"_index":1253,"t":{},"b":{"5":{}}}],["59.0",{"_index":3331,"t":{},"b":{"23":{}}}],["5]0.469",{"_index":254,"t":{},"b":{"1":{}}}],["5th",{"_index":3143,"t":{},"b":{"21":{}}}],["5…17",{"_index":887,"t":{},"b":{"4":{}}}],["5…23",{"_index":1222,"t":{},"b":{"5":{}}}],["6",{"_index":312,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["6.0622",{"_index":237,"t":{},"b":{"1":{}}}],["6.2085",{"_index":316,"t":{},"b":{"1":{}}}],["6.28463",{"_index":315,"t":{},"b":{"1":{},"19":{}}}],["6.421",{"_index":219,"t":{},"b":{"1":{},"19":{}}}],["6.575",{"_index":207,"t":{},"b":{"1":{},"19":{}}}],["6.7",{"_index":1155,"t":{},"b":{"5":{}}}],["6.86035",{"_index":305,"t":{},"b":{"1":{},"19":{}}}],["6.998",{"_index":235,"t":{},"b":{"1":{}}}],["61.1",{"_index":228,"t":{},"b":{"1":{},"19":{}}}],["63.9",{"_index":1587,"t":{},"b":{"6":{}}}],["65.0",{"_index":3323,"t":{},"b":{"23":{}}}],["65.2",{"_index":208,"t":{},"b":{"1":{},"19":{}}}],["65.54",{"_index":2511,"t":{},"b":{"17":{}}}],["6600.0",{"_index":849,"t":{},"b":{"4":{}}}],["67",{"_index":1228,"t":{},"b":{"5":{},"9":{}}}],["68",{"_index":1254,"t":{},"b":{"5":{},"6":{}}}],["68.5749",{"_index":320,"t":{},"b":{"1":{},"19":{}}}],["6b",{"_index":32,"t":{"22":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["6…17",{"_index":2734,"t":{},"b":{"19":{}}}],["6…23",{"_index":1800,"t":{},"b":{"7":{}}}],["6…62",{"_index":2961,"t":{},"b":{"20":{}}}],["7",{"_index":318,"t":{},"b":{"1":{},"4":{},"7":{},"11":{},"18":{},"19":{},"20":{}}}],["7.0",{"_index":1158,"t":{},"b":{"5":{}}}],["7.06220240533269",{"_index":2135,"t":{},"b":{"11":{}}}],["7.07",{"_index":217,"t":{},"b":{"1":{},"19":{}}}],["7.1",{"_index":1572,"t":{},"b":{"6":{}}}],["7.14106",{"_index":353,"t":{},"b":{"1":{},"19":{}}}],["7.185",{"_index":227,"t":{},"b":{"1":{},"19":{}}}],["7.4",{"_index":1163,"t":{},"b":{"5":{}}}],["7.7",{"_index":1160,"t":{},"b":{"5":{}}}],["7.788",{"_index":2507,"t":{},"b":{"17":{}}}],["7.8",{"_index":1165,"t":{},"b":{"5":{}}}],["7.80501",{"_index":2676,"t":{},"b":{"18":{}}}],["70.0",{"_index":2655,"t":{},"b":{"18":{},"22":{}}}],["70:30",{"_index":902,"t":{},"b":{"4":{}}}],["71.0",{"_index":3264,"t":{},"b":{"22":{}}}],["711",{"_index":333,"t":{},"b":{"1":{}}}],["73",{"_index":1227,"t":{},"b":{"5":{}}}],["73.0",{"_index":3314,"t":{},"b":{"23":{}}}],["735",{"_index":1728,"t":{},"b":{"7":{}}}],["74.0",{"_index":3256,"t":{},"b":{"22":{}}}],["746.893",{"_index":1765,"t":{},"b":{"7":{}}}],["75.9796",{"_index":2691,"t":{},"b":{"18":{}}}],["750",{"_index":2154,"t":{},"b":{"11":{}}}],["75702.41122812725",{"_index":909,"t":{},"b":{"4":{}}}],["75th",{"_index":371,"t":{},"b":{"1":{}}}],["76.0",{"_index":2692,"t":{},"b":{"18":{}}}],["77.5",{"_index":321,"t":{},"b":{"1":{}}}],["78",{"_index":1255,"t":{},"b":{"5":{}}}],["78.9",{"_index":220,"t":{},"b":{"1":{},"19":{}}}],["783.0",{"_index":864,"t":{},"b":{"4":{}}}],["7875.0",{"_index":865,"t":{},"b":{"4":{}}}],["7…06",{"_index":2199,"t":{},"b":{"12":{}}}],["7…40",{"_index":2327,"t":{},"b":{"13":{}}}],["7…74",{"_index":1953,"t":{},"b":{"8":{}}}],["7…83",{"_index":2306,"t":{},"b":{"13":{}}}],["8",{"_index":33,"t":{"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["8.0",{"_index":2650,"t":{},"b":{"18":{}}}],["8.1",{"_index":1154,"t":{},"b":{"5":{}}}],["8.60155",{"_index":297,"t":{},"b":{"1":{},"19":{}}}],["8.70726",{"_index":331,"t":{},"b":{"1":{},"19":{}}}],["8.78",{"_index":314,"t":{},"b":{"1":{}}}],["8.8",{"_index":1159,"t":{},"b":{"5":{}}}],["80.0",{"_index":3329,"t":{},"b":{"23":{}}}],["80/20",{"_index":2166,"t":{},"b":{"11":{}}}],["807.0",{"_index":863,"t":{},"b":{"4":{}}}],["81.1",{"_index":1582,"t":{},"b":{"6":{}}}],["816.0",{"_index":847,"t":{},"b":{"4":{}}}],["83.0",{"_index":3322,"t":{},"b":{"23":{}}}],["83.3377",{"_index":2510,"t":{},"b":{"17":{}}}],["84.0",{"_index":3259,"t":{},"b":{"22":{}}}],["849.403",{"_index":2687,"t":{},"b":{"18":{}}}],["86",{"_index":2975,"t":{},"b":{"20":{}}}],["87",{"_index":1256,"t":{},"b":{"5":{}}}],["88.9762",{"_index":294,"t":{},"b":{"1":{}}}],["880.0",{"_index":858,"t":{},"b":{"4":{}}}],["8…18",{"_index":896,"t":{},"b":{"4":{}}}],["8…48",{"_index":2364,"t":{},"b":{"14":{}}}],["8…56",{"_index":1119,"t":{},"b":{"4":{}}}],["8…86",{"_index":2341,"t":{},"b":{"13":{}}}],["9",{"_index":34,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["9.14",{"_index":224,"t":{},"b":{"1":{},"19":{}}}],["9.1971",{"_index":358,"t":{},"b":{"1":{},"19":{}}}],["9.2",{"_index":1164,"t":{},"b":{"5":{}}}],["9.36638",{"_index":2514,"t":{},"b":{"17":{}}}],["9.5",{"_index":3312,"t":{},"b":{"23":{}}}],["9.54941",{"_index":329,"t":{},"b":{"1":{},"19":{}}}],["9.69",{"_index":304,"t":{},"b":{"1":{}}}],["9.84",{"_index":1584,"t":{},"b":{"6":{}}}],["90",{"_index":1801,"t":{},"b":{"7":{}}}],["91.2949",{"_index":347,"t":{},"b":{"1":{},"19":{}}}],["93.5",{"_index":2683,"t":{},"b":{"18":{}}}],["96",{"_index":1257,"t":{},"b":{"5":{}}}],["98.83",{"_index":3136,"t":{},"b":{"21":{}}}],["99.7416",{"_index":1749,"t":{},"b":{"7":{}}}],["9…30",{"_index":2899,"t":{},"b":{"20":{}}}],["9…65",{"_index":2304,"t":{},"b":{"13":{}}}],["_.name",{"_index":740,"t":{},"b":{"3":{}}}],["_.nrow",{"_index":743,"t":{},"b":{"3":{}}}],["_.scityp",{"_index":742,"t":{},"b":{"3":{}}}],["_.type",{"_index":741,"t":{},"b":{"3":{}}}],["_20",{"_index":850,"t":{},"b":{"4":{}}}],["_60",{"_index":866,"t":{},"b":{"4":{}}}],["aa",{"_index":67,"t":{},"b":{"0":{},"3":{}}}],["aad",{"_index":416,"t":{},"b":{"1":{}}}],["aao",{"_index":415,"t":{},"b":{"1":{}}}],["abdomcentesis_appear",{"_index":1477,"t":{},"b":{"6":{}}}],["abdomcentesis_total_protein",{"_index":1478,"t":{},"b":{"6":{}}}],["abdomen",{"_index":1474,"t":{},"b":{"6":{}}}],["abdominal_distens",{"_index":1469,"t":{},"b":{"6":{}}}],["abov",{"_index":1616,"t":{},"b":{"6":{},"10":{},"13":{},"15":{},"18":{},"22":{}}}],["abstract",{"_index":2336,"t":{},"b":{"13":{}}}],["abstractarray{continuous,1",{"_index":874,"t":{},"b":{"4":{}}}],["abstractarray{count,1",{"_index":1717,"t":{},"b":{"7":{},"23":{}}}],["abstractarray{multiclass{2},1",{"_index":3203,"t":{},"b":{"22":{}}}],["acceler",{"_index":1115,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"18":{},"21":{}}}],["acceleration_resampl",{"_index":1117,"t":{},"b":{"4":{},"15":{},"21":{}}}],["access",{"_index":169,"t":{},"b":{"1":{},"2":{},"4":{},"9":{},"10":{},"13":{}}}],["accesss",{"_index":2697,"t":{},"b":{"18":{}}}],["account",{"_index":3013,"t":{},"b":{"20":{}}}],["accuraci",{"_index":2919,"t":{},"b":{"20":{},"22":{}}}],["accuracy(cm",{"_index":2922,"t":{},"b":{"20":{}}}],["accuracy(i",{"_index":2921,"t":{},"b":{"20":{}}}],["achiev",{"_index":1862,"t":{},"b":{"7":{}}}],["acid",{"_index":1693,"t":{},"b":{"7":{}}}],["actual",{"_index":1407,"t":{},"b":{"5":{},"6":{},"13":{}}}],["acycl",{"_index":2287,"t":{},"b":{"13":{}}}],["ad",{"_index":398,"t":{},"b":{"1":{},"8":{},"16":{}}}],["adabooststumpclassifi",{"_index":1910,"t":{},"b":{"8":{}}}],["adapt",{"_index":146,"t":{},"b":{"1":{},"16":{}}}],["add",{"_index":2374,"t":{},"b":{"14":{},"18":{},"19":{},"23":{}}}],["addit",{"_index":2796,"t":{},"b":{"19":{}}}],["addition",{"_index":2472,"t":{},"b":{"16":{}}}],["adjust",{"_index":3242,"t":{},"b":{"22":{},"23":{}}}],["advertis",{"_index":3306,"t":{},"b":{"23":{}}}],["ag",{"_index":185,"t":{},"b":{"1":{},"3":{},"6":{},"9":{},"19":{},"23":{}}}],["again",{"_index":1141,"t":{},"b":{"5":{},"11":{},"19":{},"23":{}}}],["age=>continu",{"_index":1983,"t":{},"b":{"9":{}}}],["aggreg",{"_index":524,"t":{},"b":{"1":{}}}],["ai2cod",{"_index":421,"t":{},"b":{"1":{}}}],["aim",{"_index":2490,"t":{},"b":{"16":{}}}],["aka",{"_index":2894,"t":{},"b":{"20":{}}}],["alcalin",{"_index":1695,"t":{},"b":{"7":{}}}],["alcool",{"_index":1691,"t":{},"b":{"7":{}}}],["algorithm",{"_index":953,"t":{},"b":{"4":{},"8":{},"10":{},"12":{}}}],["all_nam",{"_index":3270,"t":{},"b":{"22":{}}}],["all_names[idxshow",{"_index":3280,"t":{},"b":{"22":{}}}],["allow",{"_index":468,"t":{},"b":{"1":{},"2":{},"3":{},"14":{},"18":{},"20":{}}}],["allowrankdefici",{"_index":1960,"t":{},"b":{"8":{}}}],["alon",{"_index":2393,"t":{},"b":{"14":{}}}],["along",{"_index":1884,"t":{},"b":{"8":{}}}],["alpha",{"_index":1191,"t":{},"b":{"5":{}}}],["alreadi",{"_index":1818,"t":{},"b":{"7":{},"20":{}}}],["altern",{"_index":2380,"t":{},"b":{"14":{}}}],["alway",{"_index":1381,"t":{},"b":{"5":{},"10":{},"16":{},"19":{}}}],["am",{"_index":38,"t":{"4":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ambigu",{"_index":703,"t":{},"b":{"3":{}}}],["amplitud",{"_index":1738,"t":{},"b":{"7":{}}}],["analys",{"_index":473,"t":{},"b":{"1":{},"3":{},"16":{}}}],["analysi",{"_index":390,"t":{},"b":{"1":{},"6":{},"7":{},"16":{},"18":{}}}],["annot",{"_index":47,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["anoth",{"_index":109,"t":{},"b":{"0":{},"6":{},"8":{},"13":{},"18":{}}}],["anthoni",{"_index":123,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["anyon",{"_index":2430,"t":{},"b":{"15":{}}}],["apart",{"_index":2995,"t":{},"b":{"20":{}}}],["appli",{"_index":144,"t":{},"b":{"1":{},"4":{},"6":{},"9":{},"12":{},"13":{},"19":{}}}],["appreci",{"_index":2466,"t":{},"b":{"16":{}}}],["approach",{"_index":2352,"t":{},"b":{"14":{}}}],["appropri",{"_index":752,"t":{},"b":{"3":{},"8":{},"12":{},"19":{},"22":{}}}],["arbitrari",{"_index":580,"t":{},"b":{"2":{}}}],["arbitrarili",{"_index":1362,"t":{},"b":{"5":{}}}],["area",{"_index":3014,"t":{},"b":{"20":{}}}],["argmin(res.measur",{"_index":3141,"t":{},"b":{"21":{}}}],["argmin(res.measurements)round.(res.measur",{"_index":3130,"t":{},"b":{"21":{}}}],["argument",{"_index":626,"t":{},"b":{"2":{},"8":{}}}],["around",{"_index":172,"t":{},"b":{"1":{},"4":{},"5":{},"11":{},"13":{},"22":{}}}],["array",{"_index":10,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["array{float64,1",{"_index":249,"t":{},"b":{"1":{},"4":{},"17":{},"18":{},"22":{},"24":{}}}],["array{float64,2",{"_index":397,"t":{},"b":{"1":{},"20":{}}}],["array{int64,1",{"_index":100,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"12":{},"18":{}}}],["array{int64,2",{"_index":2608,"t":{},"b":{"18":{}}}],["array{mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1074,"t":{},"b":{"4":{}}}],["array{string,1",{"_index":83,"t":{},"b":{"0":{},"1":{},"20":{}}}],["array{symbol,1",{"_index":178,"t":{},"b":{"1":{},"17":{},"18":{}}}],["array{univariatefinite{string,uint8,float64},1",{"_index":2902,"t":{},"b":{"20":{}}}],["arrow",{"_index":808,"t":{},"b":{"4":{},"7":{},"13":{}}}],["ash",{"_index":1694,"t":{},"b":{"7":{}}}],["asid",{"_index":1787,"t":{},"b":{"7":{},"20":{}}}],["assault",{"_index":2502,"t":{},"b":{"17":{}}}],["assess",{"_index":929,"t":{},"b":{"4":{}}}],["assign",{"_index":2581,"t":{},"b":{"17":{}}}],["assist",{"_index":3175,"t":{},"b":{"22":{}}}],["associ",{"_index":2473,"t":{},"b":{"16":{}}}],["assum",{"_index":1510,"t":{},"b":{"6":{},"13":{},"16":{}}}],["assumpt",{"_index":2952,"t":{},"b":{"20":{}}}],["atbat",{"_index":3161,"t":{},"b":{"22":{}}}],["atom",{"_index":2026,"t":{},"b":{"10":{},"15":{}}}],["atom.k",{"_index":2063,"t":{},"b":{"10":{}}}],["atom.n_subfeatur",{"_index":2162,"t":{},"b":{"11":{},"15":{}}}],["atomic_weight",{"_index":2057,"t":{},"b":{"10":{},"11":{},"15":{}}}],["attent",{"_index":746,"t":{},"b":{"3":{}}}],["attribut",{"_index":1711,"t":{},"b":{"7":{},"14":{}}}],["auc",{"_index":3012,"t":{},"b":{"20":{}}}],["auc(i",{"_index":3016,"t":{},"b":{"20":{}}}],["aucstock",{"_index":2820,"t":{},"b":{"20":{}}}],["auto",{"_index":1193,"t":{},"b":{"5":{},"8":{},"18":{},"21":{}}}],["auto.mpg",{"_index":2698,"t":{},"b":{"18":{}}}],["automat",{"_index":782,"t":{},"b":{"3":{},"5":{}}}],["autotyp",{"_index":779,"t":{},"b":{"3":{},"6":{},"16":{}}}],["autotype(boston",{"_index":793,"t":{},"b":{"3":{},"19":{}}}],["autotype(data",{"_index":1513,"t":{},"b":{"6":{}}}],["autotype(datac",{"_index":1542,"t":{},"b":{"6":{}}}],["autotype(x",{"_index":3201,"t":{},"b":{"22":{},"23":{}}}],["avail",{"_index":1898,"t":{},"b":{"8":{},"18":{},"20":{}}}],["averag",{"_index":944,"t":{},"b":{"4":{},"12":{},"20":{}}}],["away",{"_index":2337,"t":{},"b":{"13":{}}}],["b",{"_index":1148,"t":{},"b":{"5":{}}}],["b1",{"_index":265,"t":{},"b":{"1":{}}}],["b2",{"_index":270,"t":{},"b":{"1":{}}}],["b_rang",{"_index":2060,"t":{},"b":{"10":{}}}],["babi",{"_index":801,"t":{},"b":{"4":{}}}],["back",{"_index":2296,"t":{},"b":{"13":{},"19":{}}}],["backend",{"_index":2709,"t":{},"b":{"18":{}}}],["background",{"_index":2342,"t":{},"b":{"13":{}}}],["backslash",{"_index":2730,"t":{},"b":{"19":{}}}],["bad",{"_index":1638,"t":{},"b":{"6":{},"20":{},"22":{},"23":{},"24":{}}}],["badli",{"_index":1172,"t":{},"b":{"5":{}}}],["bag",{"_index":2025,"t":{},"b":{"10":{},"11":{}}}],["bagging_fract",{"_index":2053,"t":{},"b":{"10":{},"11":{},"15":{}}}],["baggingclassifi",{"_index":1912,"t":{},"b":{"8":{}}}],["balanc",{"_index":1223,"t":{},"b":{"5":{},"7":{},"20":{}}}],["bar(1:length(c",{"_index":2569,"t":{},"b":{"17":{}}}],["bar([1",{"_index":2890,"t":{},"b":{"20":{}}}],["bare",{"_index":2951,"t":{},"b":{"20":{}}}],["barebon",{"_index":717,"t":{},"b":{"3":{}}}],["base",{"_index":1665,"t":{"23":{}},"b":{"6":{},"16":{},"23":{}}}],["base_scor",{"_index":1217,"t":{},"b":{"5":{}}}],["baselin",{"_index":1443,"t":{},"b":{"6":{},"7":{},"21":{},"22":{}}}],["baselinevisualis",{"_index":1675,"t":{},"b":{"7":{}}}],["basic",{"_index":6,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["basicsaccess",{"_index":138,"t":{},"b":{"1":{}}}],["bayesian",{"_index":2956,"t":{},"b":{"20":{}}}],["bayesianlda",{"_index":1913,"t":{},"b":{"8":{},"20":{}}}],["bayesianqda",{"_index":1915,"t":{},"b":{"8":{},"20":{}}}],["bayesiansubspacelda",{"_index":1916,"t":{},"b":{"8":{}}}],["bb",{"_index":65,"t":{},"b":{"0":{},"3":{}}}],["bd",{"_index":1153,"t":{},"b":{"5":{}}}],["becom",{"_index":1045,"t":{},"b":{"4":{},"7":{}}}],["befor",{"_index":635,"t":{},"b":{"2":{},"4":{},"10":{},"13":{},"15":{},"16":{},"18":{},"20":{},"23":{}}}],["behaviour",{"_index":3342,"t":{},"b":{"23":{}}}],["belong",{"_index":567,"t":{},"b":{"2":{}}}],["below",{"_index":711,"t":{},"b":{"3":{},"7":{},"8":{}}}],["best",{"_index":1123,"t":{},"b":{"4":{},"5":{},"10":{},"11":{},"15":{},"17":{},"22":{},"23":{}}}],["best_ensembl",{"_index":2078,"t":{},"b":{"10":{}}}],["best_ensemble.atom.k",{"_index":2080,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fract",{"_index":2082,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fractionbest_ensemble.atom.k",{"_index":2081,"t":{},"b":{"10":{}}}],["best_mdl",{"_index":3238,"t":{},"b":{"22":{}}}],["best_model",{"_index":2419,"t":{},"b":{"15":{}}}],["best_pip",{"_index":1647,"t":{},"b":{"6":{}}}],["better",{"_index":1588,"t":{},"b":{"6":{},"7":{},"16":{},"19":{},"20":{},"22":{}}}],["between",{"_index":692,"t":{},"b":{"3":{},"12":{},"13":{},"14":{},"18":{},"19":{},"24":{}}}],["bex3cod",{"_index":425,"t":{},"b":{"1":{}}}],["beyond",{"_index":2729,"t":{},"b":{"19":{}}}],["bi2cod",{"_index":423,"t":{},"b":{"1":{}}}],["big",{"_index":251,"t":{},"b":{"1":{},"5":{}}}],["bind",{"_index":2398,"t":{},"b":{"15":{}}}],["bins=30",{"_index":3215,"t":{},"b":{"22":{}}}],["bins=50",{"_index":3190,"t":{},"b":{"22":{}}}],["bit",{"_index":525,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["black",{"_index":190,"t":{},"b":{"1":{},"3":{},"19":{}}}],["blaom",{"_index":124,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["blend",{"_index":936,"t":{},"b":{"4":{}}}],["blendus",{"_index":805,"t":{},"b":{"4":{}}}],["blue",{"_index":2590,"t":{},"b":{"17":{}}}],["bool",{"_index":610,"t":{},"b":{"2":{}}}],["boost",{"_index":1367,"t":{},"b":{"5":{},"16":{},"23":{}}}],["booster",{"_index":1180,"t":{},"b":{"5":{}}}],["bootstrap",{"_index":3025,"t":{"21":{}},"b":{"21":{}}}],["bootstrapget",{"_index":3029,"t":{},"b":{"21":{}}}],["boston",{"_index":161,"t":{},"b":{"1":{},"2":{},"3":{},"11":{},"19":{},"23":{}}}],["boston.crim",{"_index":401,"t":{},"b":{"1":{}}}],["boston.crim[1:5]5",{"_index":248,"t":{},"b":{"1":{}}}],["boston.crim_x_zn",{"_index":400,"t":{},"b":{"1":{}}}],["boston.zn",{"_index":402,"t":{},"b":{"1":{}}}],["boston2",{"_index":756,"t":{},"b":{"3":{}}}],["boston3",{"_index":763,"t":{},"b":{"3":{}}}],["boston[1:5",{"_index":257,"t":{},"b":{"1":{}}}],["boston[3",{"_index":253,"t":{},"b":{"1":{}}}],["both",{"_index":943,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"12":{}}}],["box",{"_index":2294,"t":{},"b":{"13":{},"14":{}}}],["box=box_model",{"_index":2369,"t":{},"b":{"14":{}}}],["box_model",{"_index":2320,"t":{},"b":{"13":{},"14":{}}}],["box_model::univariateboxcoxtransform",{"_index":2385,"t":{},"b":{"14":{}}}],["branch",{"_index":1980,"t":{},"b":{"9":{}}}],["brief",{"_index":2601,"t":{},"b":{"18":{}}}],["bsmtfinsf1",{"_index":836,"t":{},"b":{"4":{}}}],["buick",{"_index":2663,"t":{},"b":{"18":{}}}],["build",{"_index":2099,"t":{},"b":{"11":{},"15":{},"16":{},"20":{},"21":{}}}],["built",{"_index":134,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["bve",{"_index":922,"t":{},"b":{"4":{}}}],["by(iri",{"_index":508,"t":{},"b":{"1":{}}}],["c",{"_index":2586,"t":{},"b":{"17":{}}}],["call",{"_index":927,"t":{},"b":{"4":{},"10":{},"13":{},"18":{}}}],["capillary_refill_tim",{"_index":1466,"t":{},"b":{"6":{}}}],["caravan",{"_index":2972,"t":{},"b":{"20":{}}}],["caravan.purchas",{"_index":2977,"t":{},"b":{"20":{}}}],["care",{"_index":2421,"t":{},"b":{"15":{},"18":{}}}],["carseat",{"_index":3301,"t":{},"b":{"23":{}}}],["carseats.high",{"_index":3335,"t":{},"b":{"23":{}}}],["case",{"_index":701,"t":{},"b":{"3":{},"8":{},"12":{},"13":{},"19":{},"20":{},"21":{}}}],["catbat",{"_index":3166,"t":{},"b":{"22":{}}}],["categor",{"_index":1,"t":{"0":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["categori",{"_index":78,"t":{},"b":{"0":{}}}],["categorical([\"aa",{"_index":64,"t":{},"b":{"0":{}}}],["categorical([\"high",{"_index":110,"t":{},"b":{"0":{}}}],["categorical(['m",{"_index":1967,"t":{},"b":{"9":{}}}],["categorical([1",{"_index":98,"t":{},"b":{"0":{}}}],["categorical(i",{"_index":3409,"t":{},"b":{"24":{}}}],["categoricalarray",{"_index":62,"t":{},"b":{"0":{},"5":{},"16":{}}}],["categoricalarrays.categoricalarray{string,1,uint32",{"_index":70,"t":{},"b":{"0":{}}}],["categoricalarrays.categoricalarray{string,1,uint8",{"_index":2884,"t":{},"b":{"20":{}}}],["categoricalarrays.categoricalstring{uint32",{"_index":843,"t":{},"b":{"4":{}}}],["categoricalarrays.categoricalstring{uint32}[\"b",{"_index":1147,"t":{},"b":{"5":{}}}],["categoricalarrays.categoricalstring{uint8",{"_index":1881,"t":{},"b":{"8":{},"23":{}}}],["categoricalarrays.categoricalvalue{float64,uint32",{"_index":795,"t":{},"b":{"3":{},"8":{}}}],["categoricalarrays.categoricalvalue{int64,uint32",{"_index":797,"t":{},"b":{"3":{},"4":{}}}],["categoricalsmiss",{"_index":55,"t":{},"b":{"0":{}}}],["categoricalsord",{"_index":54,"t":{},"b":{"0":{}}}],["categoricalstring{uint8",{"_index":2857,"t":{},"b":{"20":{}}}],["cbt",{"_index":1423,"t":{},"b":{"5":{}}}],["cc",{"_index":66,"t":{},"b":{"0":{}}}],["cc\"])6",{"_index":68,"t":{},"b":{"0":{}}}],["cha",{"_index":182,"t":{},"b":{"1":{},"3":{},"19":{}}}],["chang",{"_index":92,"t":{},"b":{"0":{},"3":{},"5":{},"7":{},"13":{},"19":{},"24":{}}}],["char",{"_index":641,"t":{},"b":{"2":{}}}],["check",{"_index":786,"t":{},"b":{"3":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"20":{},"21":{},"24":{}}}],["check_measur",{"_index":1118,"t":{},"b":{"4":{},"15":{},"21":{}}}],["chemic",{"_index":1677,"t":{},"b":{"7":{}}}],["chevel",{"_index":2657,"t":{},"b":{"18":{}}}],["chevrolet",{"_index":2656,"t":{},"b":{"18":{}}}],["child",{"_index":1366,"t":{},"b":{"5":{}}}],["chit",{"_index":3167,"t":{},"b":{"22":{}}}],["chmrun",{"_index":3168,"t":{},"b":{"22":{}}}],["choos",{"_index":15,"t":{"8":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["cic0",{"_index":647,"t":{},"b":{"2":{}}}],["cl",{"_index":1151,"t":{},"b":{"5":{}}}],["class",{"_index":696,"t":{},"b":{"3":{},"5":{},"7":{},"12":{},"20":{}}}],["classes(y[1])2",{"_index":2883,"t":{},"b":{"20":{}}}],["classesiniti",{"_index":1676,"t":{},"b":{"7":{}}}],["classic",{"_index":158,"t":{},"b":{"1":{},"2":{},"23":{}}}],["classif",{"_index":1167,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"16":{}}}],["classifi",{"_index":1602,"t":{},"b":{"6":{},"7":{},"8":{},"12":{},"15":{},"20":{},"23":{},"24":{}}}],["classifiertun",{"_index":3295,"t":{},"b":{"23":{}}}],["clear",{"_index":1860,"t":{},"b":{"7":{}}}],["clearli",{"_index":571,"t":{},"b":{"2":{},"7":{}}}],["clf",{"_index":1618,"t":{},"b":{"6":{},"7":{},"20":{}}}],["clf.lambda",{"_index":1644,"t":{},"b":{"6":{}}}],["clf=knnclassifi",{"_index":1782,"t":{},"b":{"7":{}}}],["clf=multinomialclassifi",{"_index":1784,"t":{},"b":{"7":{}}}],["click",{"_index":49,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["cloud",{"_index":3395,"t":{},"b":{"24":{}}}],["cluster",{"_index":2485,"t":{"17":{}},"b":{"16":{},"17":{}}}],["cm",{"_index":2375,"t":{},"b":{"14":{},"20":{}}}],["cm[\"down",{"_index":2891,"t":{},"b":{"20":{}}}],["cm[\"no",{"_index":2992,"t":{},"b":{"20":{}}}],["cm[\"up",{"_index":2892,"t":{},"b":{"20":{}}}],["cm[\"ye",{"_index":2993,"t":{},"b":{"20":{}}}],["cmach",{"_index":893,"t":{},"b":{"4":{}}}],["coars",{"_index":1082,"t":{},"b":{"4":{}}}],["code",{"_index":783,"t":{},"b":{"3":{},"21":{}}}],["coef",{"_index":3249,"t":{},"b":{"22":{}}}],["coeffici",{"_index":2771,"t":{},"b":{"19":{}}}],["coerc",{"_index":755,"t":{},"b":{"3":{},"6":{},"8":{},"9":{},"17":{}}}],["coerce(boston",{"_index":757,"t":{},"b":{"3":{},"19":{}}}],["coerce(data",{"_index":777,"t":{},"b":{"3":{},"6":{}}}],["coerce(datac",{"_index":1541,"t":{},"b":{"6":{}}}],["coerce(featur",{"_index":766,"t":{},"b":{"3":{}}}],["coerce(i",{"_index":1715,"t":{},"b":{"7":{},"20":{}}}],["coerce(iri",{"_index":1886,"t":{},"b":{"8":{}}}],["coerce(x",{"_index":1732,"t":{},"b":{"7":{},"9":{},"17":{},"22":{},"23":{}}}],["coercion",{"_index":770,"t":{},"b":{"3":{},"9":{}}}],["coercionautotypemachin",{"_index":688,"t":{},"b":{"3":{}}}],["col",{"_index":478,"t":{},"b":{"1":{},"6":{},"20":{},"21":{},"22":{},"23":{}}}],["col1",{"_index":599,"t":{},"b":{"2":{}}}],["col1,col2,col3,col4,col5,col6,col7,col8",{"_index":587,"t":{},"b":{"2":{}}}],["col2",{"_index":600,"t":{},"b":{"2":{}}}],["col3",{"_index":601,"t":{},"b":{"2":{}}}],["col4",{"_index":602,"t":{},"b":{"2":{}}}],["col5",{"_index":603,"t":{},"b":{"2":{}}}],["col6",{"_index":604,"t":{},"b":{"2":{}}}],["col7",{"_index":605,"t":{},"b":{"2":{}}}],["col8",{"_index":606,"t":{},"b":{"2":{}}}],["colic",{"_index":1438,"t":{"6":{}},"b":{"6":{}}}],["colic.data",{"_index":1455,"t":{},"b":{"6":{}}}],["colic.test",{"_index":1457,"t":{},"b":{"6":{}}}],["colic/hors",{"_index":1454,"t":{},"b":{"6":{}}}],["collabor",{"_index":127,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["collat",{"_index":2059,"t":{},"b":{"10":{}}}],["collect",{"_index":1562,"t":{},"b":{"6":{},"15":{},"18":{},"21":{}}}],["collect(1:length(coefs))[abs.(coef",{"_index":3278,"t":{},"b":{"22":{}}}],["collect(range(extrema(x.lstat",{"_index":2759,"t":{},"b":{"19":{}}}],["collect(skipmissing(i",{"_index":3182,"t":{},"b":{"22":{}}}],["colnam",{"_index":246,"t":{},"b":{"1":{},"7":{},"8":{}}}],["color",{"_index":1702,"t":{},"b":{"7":{}}}],["color=\"blu",{"_index":1851,"t":{},"b":{"7":{}}}],["color=\"green",{"_index":3216,"t":{},"b":{"22":{}}}],["color=\"magenta",{"_index":1854,"t":{},"b":{"7":{},"22":{}}}],["color=\"orang",{"_index":3223,"t":{},"b":{"22":{}}}],["color=\"r",{"_index":1848,"t":{},"b":{"7":{},"17":{}}}],["color=c",{"_index":2595,"t":{},"b":{"17":{}}}],["colour",{"_index":1835,"t":{},"b":{"7":{}}}],["colsample_bylevel",{"_index":1190,"t":{},"b":{"5":{}}}],["colsample_bytre",{"_index":1189,"t":{},"b":{"5":{}}}],["column",{"_index":174,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"17":{},"18":{},"19":{},"21":{},"23":{}}}],["column1",{"_index":674,"t":{},"b":{"2":{}}}],["column2",{"_index":675,"t":{},"b":{"2":{}}}],["column3",{"_index":676,"t":{},"b":{"2":{}}}],["column4",{"_index":677,"t":{},"b":{"2":{}}}],["column5",{"_index":678,"t":{},"b":{"2":{}}}],["columns/statist",{"_index":514,"t":{},"b":{"1":{}}}],["columnsd",{"_index":1441,"t":{},"b":{"6":{}}}],["columnsmiss",{"_index":142,"t":{},"b":{"1":{}}}],["combin",{"_index":445,"t":{},"b":{"1":{},"4":{}}}],["combinegroupbybyaggregatethi",{"_index":145,"t":{},"b":{"1":{}}}],["come",{"_index":2885,"t":{},"b":{"20":{}}}],["command",{"_index":1940,"t":{},"b":{"8":{},"18":{}}}],["commandsload",{"_index":2598,"t":{},"b":{"18":{}}}],["comment",{"_index":1230,"t":{},"b":{"5":{},"7":{}}}],["common",{"_index":818,"t":{},"b":{"4":{},"5":{},"8":{}}}],["compar",{"_index":931,"t":{},"b":{"4":{},"7":{},"20":{},"21":{},"22":{}}}],["compat",{"_index":621,"t":{},"b":{"2":{},"12":{},"13":{},"20":{}}}],["complet",{"_index":153,"t":{},"b":{"1":{},"7":{},"17":{}}}],["compon",{"_index":2515,"t":{},"b":{"17":{}}}],["compos",{"_index":23,"t":{"9":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["composit",{"_index":2159,"t":{},"b":{"11":{},"14":{},"19":{}}}],["compositemodel",{"_index":2371,"t":{},"b":{"14":{}}}],["compositemodel(std=std_model",{"_index":2368,"t":{},"b":{"14":{}}}],["compositemodel2",{"_index":2383,"t":{},"b":{"14":{}}}],["compositemodel2(standard",{"_index":2391,"t":{},"b":{"14":{}}}],["comppric",{"_index":3304,"t":{},"b":{"23":{}}}],["comput",{"_index":362,"t":{},"b":{"1":{},"4":{},"18":{},"19":{},"20":{}}}],["computationalresources.cpu1{nothing}(noth",{"_index":1116,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["conclud",{"_index":1592,"t":{},"b":{"6":{}}}],["conclus",{"_index":3142,"t":{},"b":{"21":{}}}],["condit",{"_index":2932,"t":{},"b":{"20":{}}}],["confus",{"_index":2882,"t":{},"b":{"20":{}}}],["confusion_matrix(i",{"_index":2914,"t":{},"b":{"20":{}}}],["connect",{"_index":2372,"t":{},"b":{"14":{}}}],["consequ",{"_index":751,"t":{},"b":{"3":{},"15":{}}}],["consid",{"_index":108,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"6":{},"7":{},"12":{},"13":{},"14":{},"18":{},"19":{},"20":{},"22":{}}}],["const",{"_index":3154,"t":{},"b":{"22":{}}}],["constant",{"_index":882,"t":{},"b":{"4":{}}}],["constantclassifi",{"_index":1917,"t":{},"b":{"8":{}}}],["constantregressor()constantregressor",{"_index":884,"t":{},"b":{"4":{}}}],["constitu",{"_index":1684,"t":{},"b":{"7":{}}}],["construct",{"_index":1991,"t":{},"b":{"9":{},"10":{}}}],["constructor",{"_index":2028,"t":{},"b":{"10":{},"11":{},"14":{}}}],["contain",{"_index":815,"t":{},"b":{"4":{},"9":{},"12":{},"15":{},"20":{}}}],["content",{"_index":392,"t":{},"b":{"1":{},"2":{},"16":{}}}],["context",{"_index":160,"t":{},"b":{"1":{}}}],["continu",{"_index":707,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"22":{},"23":{}}}],["conveni",{"_index":262,"t":{},"b":{"1":{},"2":{},"6":{},"18":{}}}],["convent",{"_index":726,"t":{},"b":{"3":{},"19":{}}}],["convert",{"_index":391,"t":{},"b":{"1":{},"3":{},"13":{}}}],["convert(matrix",{"_index":394,"t":{},"b":{"1":{}}}],["cool",{"_index":2803,"t":{},"b":{"19":{}}}],["copi",{"_index":475,"t":{},"b":{"1":{}}}],["cor",{"_index":2863,"t":{},"b":{"20":{}}}],["correl",{"_index":2862,"t":{},"b":{"20":{}}}],["correspond",{"_index":470,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"16":{},"17":{},"19":{},"21":{}}}],["cost",{"_index":3422,"t":{},"b":{"24":{}}}],["count",{"_index":697,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"9":{},"11":{},"19":{},"23":{}}}],["counter",{"_index":442,"t":{},"b":{"1":{}}}],["countmap",{"_index":2821,"t":{},"b":{"20":{}}}],["countmap(i",{"_index":2889,"t":{},"b":{"20":{}}}],["countmap(purchas",{"_index":2991,"t":{},"b":{"20":{}}}],["countmap(y[train",{"_index":1225,"t":{},"b":{"5":{}}}],["cours",{"_index":2168,"t":{},"b":{"11":{},"15":{},"18":{}}}],["cox",{"_index":2295,"t":{},"b":{"13":{}}}],["cp_data",{"_index":1483,"t":{},"b":{"6":{}}}],["cpu_predictor",{"_index":1206,"t":{},"b":{"5":{}}}],["crab",{"_index":40,"t":{"5":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["crazi",{"_index":1640,"t":{},"b":{"6":{}}}],["crbi",{"_index":3170,"t":{},"b":{"22":{}}}],["creat",{"_index":889,"t":{},"b":{"4":{},"11":{},"13":{},"16":{},"19":{},"21":{}}}],["creg",{"_index":883,"t":{},"b":{"4":{}}}],["crim",{"_index":179,"t":{},"b":{"1":{},"3":{},"19":{}}}],["cross",{"_index":1084,"t":{"21":{}},"b":{"4":{},"6":{},"12":{},"15":{},"16":{},"20":{},"21":{},"22":{}}}],["cross_entropi",{"_index":2412,"t":{},"b":{"15":{}}}],["cross_entropy(i",{"_index":1657,"t":{},"b":{"6":{},"12":{},"20":{}}}],["crossvalid",{"_index":3101,"t":{},"b":{"21":{}}}],["crun",{"_index":3169,"t":{},"b":{"22":{}}}],["cs",{"_index":2561,"t":{},"b":{"17":{}}}],["csv",{"_index":577,"t":{},"b":{"2":{},"6":{},"7":{},"16":{},"18":{}}}],["csv.file",{"_index":644,"t":{},"b":{"2":{}}}],["csv.jl",{"_index":557,"t":{},"b":{"2":{},"7":{}}}],["csv.read",{"_index":583,"t":{},"b":{"2":{}}}],["csv.read(\"path/to/file.csv",{"_index":624,"t":{},"b":{"2":{}}}],["csv.read(fpath",{"_index":654,"t":{},"b":{"2":{}}}],["csv.read(fpath)3×8",{"_index":598,"t":{},"b":{"2":{}}}],["csv.read(req.bodi",{"_index":1689,"t":{},"b":{"7":{}}}],["csv.read(req1.bodi",{"_index":1487,"t":{},"b":{"6":{}}}],["csv.read(req2.bodi",{"_index":1489,"t":{},"b":{"6":{}}}],["csv_opt",{"_index":1484,"t":{},"b":{"6":{}}}],["csvbasic",{"_index":545,"t":{},"b":{"2":{}}}],["cultivar",{"_index":1681,"t":{},"b":{"7":{}}}],["cumsum(r.principalvar",{"_index":2526,"t":{},"b":{"17":{}}}],["current",{"_index":772,"t":{},"b":{"3":{},"6":{},"8":{},"21":{},"22":{}}}],["curv",{"_index":1240,"t":{},"b":{"5":{},"11":{},"20":{}}}],["curve.measur",{"_index":1354,"t":{},"b":{"5":{}}}],["curves.measur",{"_index":2152,"t":{},"b":{"11":{}}}],["custom",{"_index":376,"t":{},"b":{"1":{}}}],["cut",{"_index":1774,"t":{},"b":{"7":{}}}],["cv",{"_index":1103,"t":{},"b":{"4":{},"21":{},"22":{}}}],["cv(nfolds=6",{"_index":1087,"t":{},"b":{"4":{}}}],["cw",{"_index":1152,"t":{},"b":{"5":{}}}],["cwalk",{"_index":3171,"t":{},"b":{"22":{}}}],["cyclic",{"_index":1214,"t":{},"b":{"5":{}}}],["cylind",{"_index":2646,"t":{},"b":{"18":{}}}],["d",{"_index":382,"t":{},"b":{"1":{},"20":{},"22":{}}}],["d.fit_mle(d.exponenti",{"_index":3194,"t":{},"b":{"22":{}}}],["d.fit_mle(d.laplac",{"_index":3221,"t":{},"b":{"22":{}}}],["d.fit_mle(d.norm",{"_index":3219,"t":{},"b":{"22":{}}}],["dag",{"_index":2289,"t":{},"b":{"13":{}}}],["data",{"_index":2,"t":{"0":{},"2":{},"3":{},"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["data...pca",{"_index":2496,"t":{},"b":{"17":{}}}],["data.medv",{"_index":2740,"t":{},"b":{"19":{}}}],["data2",{"_index":776,"t":{},"b":{"3":{}}}],["data2×3",{"_index":2313,"t":{},"b":{"13":{}}}],["data_test",{"_index":1488,"t":{},"b":{"6":{}}}],["data_train",{"_index":1486,"t":{},"b":{"6":{}}}],["dataad",{"_index":141,"t":{},"b":{"1":{}}}],["databas",{"_index":2600,"t":{},"b":{"18":{}}}],["databases/hors",{"_index":1453,"t":{},"b":{"6":{}}}],["databases/wine/wine.data",{"_index":1688,"t":{},"b":{"7":{}}}],["datac",{"_index":1512,"t":{},"b":{"6":{}}}],["datac[.!missing_outcom",{"_index":1564,"t":{},"b":{"6":{}}}],["datachoos",{"_index":1877,"t":{},"b":{"8":{}}}],["dataconvert",{"_index":140,"t":{},"b":{"1":{}}}],["datadeclar",{"_index":1962,"t":{},"b":{"9":{}}}],["datadescrib",{"_index":139,"t":{},"b":{"1":{}}}],["datafit",{"_index":2193,"t":{},"b":{"12":{}}}],["datafram",{"_index":137,"t":{"1":{}},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["dataframe([hp.^i",{"_index":3107,"t":{},"b":{"21":{}}}],["dataframe([hpn.^i",{"_index":3144,"t":{},"b":{"21":{}}}],["dataframe(hp1=hp",{"_index":3056,"t":{},"b":{"21":{}}}],["dataframe(hp1=hpn",{"_index":3090,"t":{},"b":{"21":{}}}],["dataframe(x",{"_index":825,"t":{},"b":{"4":{},"5":{}}}],["dataframe(x1=x1",{"_index":2272,"t":{},"b":{"13":{},"14":{}}}],["dataframe(xraw",{"_index":2011,"t":{},"b":{"10":{}}}],["dataframes.aggregate(iri",{"_index":527,"t":{},"b":{"1":{}}}],["dataframes.datafram",{"_index":199,"t":{},"b":{"1":{},"2":{},"7":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["dataframes.jl",{"_index":149,"t":{},"b":{"1":{},"2":{},"18":{}}}],["datainspect",{"_index":1440,"t":{},"b":{"6":{}}}],["datalogist",{"_index":2816,"t":{},"b":{"20":{}}}],["dataplot",{"_index":2599,"t":{},"b":{"18":{}}}],["dataroc",{"_index":2819,"t":{},"b":{"20":{}}}],["dataset",{"_index":162,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"18":{},"20":{}}}],["dataset(\"dataset",{"_index":449,"t":{},"b":{"1":{},"8":{},"17":{}}}],["dataset(\"gap",{"_index":408,"t":{},"b":{"1":{}}}],["dataset(\"islr",{"_index":2537,"t":{},"b":{"17":{},"18":{},"20":{},"21":{},"22":{},"23":{}}}],["dataset(\"mass",{"_index":166,"t":{},"b":{"1":{},"2":{},"3":{},"19":{},"23":{}}}],["datatyp",{"_index":2738,"t":{},"b":{"19":{},"20":{}}}],["dates.d",{"_index":608,"t":{},"b":{"2":{}}}],["dates.datetim",{"_index":609,"t":{},"b":{"2":{}}}],["deal",{"_index":1544,"t":{},"b":{"6":{},"16":{}}}],["deaper",{"_index":1866,"t":{},"b":{"7":{}}}],["decid",{"_index":2157,"t":{},"b":{"11":{},"15":{}}}],["decis",{"_index":2119,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["decisiontre",{"_index":1911,"t":{},"b":{"8":{}}}],["decisiontree.jl",{"_index":1942,"t":{},"b":{"8":{},"23":{}}}],["decisiontreeclassifi",{"_index":1919,"t":{},"b":{"8":{},"12":{},"15":{},"23":{}}}],["decisiontreeclassifier()decisiontreeclassifi",{"_index":2196,"t":{},"b":{"12":{}}}],["decisiontreeclassifierdecisiontreeclassifi",{"_index":2399,"t":{},"b":{"15":{}}}],["decisiontreeregressor",{"_index":2443,"t":{},"b":{"15":{},"23":{}}}],["decisiontreeregressordecisiontreeregressor",{"_index":2120,"t":{},"b":{"11":{}}}],["declar",{"_index":71,"t":{},"b":{"0":{},"9":{},"12":{},"19":{}}}],["default",{"_index":84,"t":{},"b":{"0":{},"3":{},"4":{},"5":{},"6":{},"7":{},"10":{},"17":{},"19":{},"20":{},"22":{}}}],["defin",{"_index":52,"t":{},"b":{"0":{},"3":{},"4":{},"6":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["degre",{"_index":3052,"t":{},"b":{"21":{}}}],["delim",{"_index":640,"t":{},"b":{"2":{},"6":{}}}],["demonstr",{"_index":1174,"t":{},"b":{"5":{},"19":{}}}],["density=tru",{"_index":2792,"t":{},"b":{"19":{},"22":{}}}],["depth",{"_index":1364,"t":{},"b":{"5":{},"12":{},"15":{},"23":{}}}],["depthwis",{"_index":1201,"t":{},"b":{"5":{}}}],["deriv",{"_index":386,"t":{},"b":{"1":{},"7":{}}}],["describ",{"_index":281,"t":{},"b":{"1":{},"6":{},"18":{}}}],["describe(auto",{"_index":2672,"t":{},"b":{"18":{}}}],["describe(boston",{"_index":285,"t":{},"b":{"1":{},"19":{}}}],["describe(data",{"_index":2505,"t":{},"b":{"17":{}}}],["describe(mao",{"_index":409,"t":{},"b":{"1":{}}}],["describe(smarket",{"_index":2839,"t":{},"b":{"20":{}}}],["describe(subdf_setosa",{"_index":488,"t":{},"b":{"1":{}}}],["describe(xc",{"_index":1739,"t":{},"b":{"7":{}}}],["describe(y)(n",{"_index":2107,"t":{},"b":{"11":{}}}],["descript",{"_index":1507,"t":{},"b":{"6":{},"20":{}}}],["detail",{"_index":643,"t":{},"b":{"2":{},"8":{},"10":{},"16":{},"18":{},"20":{}}}],["determin",{"_index":1682,"t":{},"b":{"7":{}}}],["determinist",{"_index":920,"t":{},"b":{"4":{},"16":{}}}],["deterministicnetwork",{"_index":1012,"t":{},"b":{"4":{},"14":{}}}],["deviat",{"_index":1736,"t":{},"b":{"7":{},"17":{}}}],["di",{"_index":186,"t":{},"b":{"1":{},"3":{},"19":{}}}],["dict(\"virginica",{"_index":2220,"t":{},"b":{"12":{}}}],["differ",{"_index":1043,"t":{},"b":{"4":{},"7":{},"8":{},"14":{},"18":{},"20":{},"21":{}}}],["difficult",{"_index":1819,"t":{},"b":{"7":{}}}],["dig",{"_index":1865,"t":{},"b":{"7":{}}}],["digit",{"_index":2254,"t":{},"b":{"12":{},"20":{},"21":{}}}],["digits=2",{"_index":2251,"t":{},"b":{"12":{},"21":{}}}],["digits=4)1.6019",{"_index":2240,"t":{},"b":{"12":{}}}],["dilut",{"_index":1706,"t":{},"b":{"7":{}}}],["dimens",{"_index":1856,"t":{},"b":{"7":{},"18":{}}}],["direct",{"_index":2286,"t":{},"b":{"13":{},"20":{}}}],["directli",{"_index":819,"t":{},"b":{"4":{},"13":{},"21":{}}}],["disable_default_eval_metr",{"_index":1182,"t":{},"b":{"5":{}}}],["discch",{"_index":2541,"t":{},"b":{"17":{}}}],["discmm",{"_index":2542,"t":{},"b":{"17":{}}}],["discrep",{"_index":2237,"t":{},"b":{"12":{}}}],["discrete_to_continu",{"_index":790,"t":{},"b":{"3":{},"6":{},"19":{}}}],["discuss",{"_index":550,"t":{},"b":{"2":{}}}],["displac",{"_index":2647,"t":{},"b":{"18":{}}}],["display",{"_index":1825,"t":{},"b":{"7":{},"20":{}}}],["display_depth",{"_index":2198,"t":{},"b":{"12":{},"15":{},"23":{}}}],["distanc",{"_index":2953,"t":{},"b":{"20":{}}}],["distances.euclidean(0.0",{"_index":956,"t":{},"b":{"4":{},"10":{}}}],["distinct",{"_index":689,"t":{},"b":{"3":{},"6":{}}}],["distinction?th",{"_index":682,"t":{},"b":{"3":{}}}],["distinguish",{"_index":691,"t":{},"b":{"3":{}}}],["distract",{"_index":1497,"t":{},"b":{"6":{}}}],["distribut",{"_index":916,"t":{},"b":{"4":{},"22":{}}}],["distribution_typ",{"_index":885,"t":{},"b":{"4":{}}}],["distributions.jl",{"_index":923,"t":{},"b":{"4":{}}}],["distributions.norm",{"_index":886,"t":{},"b":{"4":{}}}],["distributions.normal{float64}(μ=179454.34347399411",{"_index":910,"t":{},"b":{"4":{}}}],["div_",{"_index":3273,"t":{},"b":{"22":{}}}],["div_w",{"_index":3274,"t":{},"b":{"22":{}}}],["divis",{"_index":3173,"t":{},"b":{"22":{}}}],["do",{"_index":2451,"t":{},"b":{"16":{},"20":{},"22":{}}}],["doc",{"_index":59,"t":{},"b":{"0":{},"3":{},"18":{},"20":{}}}],["document",{"_index":150,"t":{},"b":{"1":{},"16":{}}}],["doesn't",{"_index":122,"t":{},"b":{"0":{},"2":{},"5":{},"21":{}}}],["don't",{"_index":574,"t":{},"b":{"2":{},"6":{},"18":{},"19":{}}}],["done",{"_index":1081,"t":{},"b":{"4":{},"6":{},"7":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"17":{},"18":{},"20":{}}}],["dot",{"_index":1987,"t":{},"b":{"9":{},"13":{},"15":{},"18":{}}}],["down",{"_index":2878,"t":{},"b":{"20":{}}}],["download",{"_index":43,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["drop",{"_index":275,"t":{},"b":{"1":{},"3":{},"6":{}}}],["drop_last",{"_index":1649,"t":{},"b":{"6":{}}}],["dtc",{"_index":1666,"t":{},"b":{"6":{},"15":{},"23":{}}}],["dtcdecis",{"_index":3296,"t":{},"b":{"23":{}}}],["dtr",{"_index":2129,"t":{},"b":{"11":{},"15":{},"23":{}}}],["dtr_model",{"_index":3362,"t":{},"b":{"23":{}}}],["dummi",{"_index":879,"t":{},"b":{"4":{},"9":{},"10":{},"13":{},"15":{}}}],["dummyclassifi",{"_index":1920,"t":{},"b":{"8":{}}}],["e",{"_index":2131,"t":{},"b":{"11":{}}}],["e.g",{"_index":694,"t":{},"b":{"3":{},"13":{},"14":{},"15":{}}}],["each",{"_index":175,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"8":{},"12":{},"16":{},"17":{},"19":{},"20":{},"21":{}}}],["earlier",{"_index":572,"t":{},"b":{"2":{},"7":{},"22":{}}}],["easi",{"_index":399,"t":{},"b":{"1":{},"7":{},"14":{}}}],["easili",{"_index":245,"t":{},"b":{"1":{},"2":{},"18":{},"20":{}}}],["ecosystem",{"_index":1938,"t":{},"b":{"8":{}}}],["edfit",{"_index":3193,"t":{},"b":{"22":{}}}],["educ",{"_index":3309,"t":{},"b":{"23":{}}}],["effect",{"_index":758,"t":{},"b":{"3":{},"4":{},"5":{},"12":{},"13":{},"20":{}}}],["effici",{"_index":581,"t":{},"b":{"2":{}}}],["elast",{"_index":3283,"t":{},"b":{"22":{}}}],["elasticnetregressor",{"_index":3284,"t":{},"b":{"22":{}}}],["element",{"_index":69,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"20":{},"22":{},"24":{}}}],["elementari",{"_index":542,"t":{"2":{}},"b":{"2":{},"16":{}}}],["elementwis",{"_index":2605,"t":{},"b":{"18":{},"19":{}}}],["elscitype(boston2.chas)orderedfactor{2",{"_index":760,"t":{},"b":{"3":{}}}],["elscitype(feature)textu",{"_index":764,"t":{},"b":{"3":{}}}],["elscitype(feature2)multiclass{2",{"_index":767,"t":{},"b":{"3":{}}}],["eltyp",{"_index":373,"t":{},"b":{"1":{},"19":{},"20":{}}}],["eltype(boston2.chas)categoricalarrays.categoricalvalue{int64,uint32",{"_index":759,"t":{},"b":{"3":{}}}],["eltype)14×4",{"_index":2737,"t":{},"b":{"19":{}}}],["eltype)9×4",{"_index":2840,"t":{},"b":{"20":{}}}],["encapsul",{"_index":2343,"t":{},"b":{"13":{}}}],["encod",{"_index":693,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"12":{},"19":{},"22":{},"23":{},"24":{}}}],["end",{"_index":36,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["endadaboostclassifi",{"_index":1908,"t":{},"b":{"8":{}}}],["endsurgeri",{"_index":1520,"t":{},"b":{"6":{}}}],["enough",{"_index":1771,"t":{},"b":{"7":{},"13":{},"17":{}}}],["ensembl",{"_index":21,"t":{"10":{},"11":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ensemble'",{"_index":2052,"t":{},"b":{"10":{}}}],["ensemble_model",{"_index":2029,"t":{},"b":{"10":{}}}],["ensemblemodel",{"_index":2027,"t":{},"b":{"10":{}}}],["ensemblemodel(atom=decisiontreeregressor",{"_index":2138,"t":{},"b":{"11":{}}}],["ensemblemodel(atom=dtr)deterministicensemblemodel",{"_index":2444,"t":{},"b":{"15":{}}}],["ensemblemodel(atom=knn_model",{"_index":2030,"t":{},"b":{"10":{}}}],["ensemblestrain",{"_index":2000,"t":{},"b":{"10":{}}}],["ensemblesystemat",{"_index":2001,"t":{},"b":{"10":{}}}],["entri",{"_index":74,"t":{},"b":{"0":{},"3":{},"20":{}}}],["entropi",{"_index":1625,"t":{},"b":{"6":{},"12":{},"20":{}}}],["enumerate(names(x",{"_index":2772,"t":{},"b":{"19":{}}}],["environ",{"_index":1941,"t":{},"b":{"8":{},"16":{},"19":{}}}],["ep",{"_index":2413,"t":{},"b":{"15":{}}}],["equal",{"_index":1894,"t":{},"b":{"8":{}}}],["equival",{"_index":2021,"t":{},"b":{"10":{},"13":{}}}],["error",{"_index":2143,"t":{},"b":{"11":{},"19":{},"20":{},"21":{},"22":{}}}],["essenti",{"_index":2726,"t":{},"b":{"19":{}}}],["estim",{"_index":2033,"t":{},"b":{"10":{}}}],["estimates.measurement[1",{"_index":2044,"t":{},"b":{"10":{}}}],["eta",{"_index":1183,"t":{},"b":{"5":{}}}],["etc",{"_index":565,"t":{},"b":{"2":{},"3":{},"6":{},"7":{},"9":{},"13":{},"19":{},"20":{},"24":{}}}],["eval_metr",{"_index":1219,"t":{},"b":{"5":{}}}],["evalu",{"_index":1004,"t":{"8":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{}}}],["evaluate!(cm",{"_index":2377,"t":{},"b":{"14":{}}}],["evaluate!(ensembl",{"_index":2034,"t":{},"b":{"10":{}}}],["evaluate!(knn",{"_index":1803,"t":{},"b":{"7":{},"10":{}}}],["evaluate!(m",{"_index":2177,"t":{},"b":{"11":{}}}],["evaluate!(mach",{"_index":1621,"t":{},"b":{"6":{}}}],["evaluate!(multi",{"_index":1805,"t":{},"b":{"7":{}}}],["evaluate!(tre",{"_index":2132,"t":{},"b":{"11":{}}}],["evaluate(pip",{"_index":1992,"t":{},"b":{"9":{}}}],["even",{"_index":748,"t":{},"b":{"3":{},"11":{}}}],["eventu",{"_index":1788,"t":{},"b":{"7":{}}}],["everyth",{"_index":1708,"t":{},"b":{"7":{}}}],["examin",{"_index":1404,"t":{},"b":{"5":{}}}],["exampl",{"_index":37,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["except",{"_index":526,"t":{},"b":{"1":{},"4":{}}}],["exist",{"_index":2728,"t":{},"b":{"19":{}}}],["exp(z",{"_index":992,"t":{},"b":{"4":{}}}],["exp.(x1",{"_index":2270,"t":{},"b":{"13":{},"14":{}}}],["exp.(xraw[:,1",{"_index":2007,"t":{},"b":{"10":{}}}],["expand",{"_index":806,"t":{},"b":{"4":{}}}],["expect",{"_index":75,"t":{},"b":{"0":{},"6":{},"9":{},"22":{}}}],["experi",{"_index":2465,"t":{},"b":{"16":{}}}],["explain",{"_index":2531,"t":{},"b":{"17":{}}}],["explanatori",{"_index":366,"t":{},"b":{"1":{}}}],["explicit",{"_index":1046,"t":{},"b":{"4":{}}}],["explicitli",{"_index":1007,"t":{},"b":{"4":{}}}],["explor",{"_index":1710,"t":{},"b":{"7":{}}}],["exponenti",{"_index":947,"t":{},"b":{"4":{}}}],["extern",{"_index":1899,"t":{},"b":{"8":{}}}],["extra",{"_index":2800,"t":{},"b":{"19":{}}}],["extract",{"_index":1398,"t":{},"b":{"5":{},"17":{},"19":{}}}],["extratreesclassifi",{"_index":1921,"t":{},"b":{"8":{}}}],["f",{"_index":1968,"t":{},"b":{"9":{}}}],["f1score",{"_index":2930,"t":{},"b":{"20":{}}}],["f1score(i",{"_index":2925,"t":{},"b":{"20":{}}}],["facilit",{"_index":1508,"t":{},"b":{"6":{}}}],["fact",{"_index":570,"t":{},"b":{"2":{},"6":{}}}],["factor",{"_index":1713,"t":{},"b":{"7":{},"20":{}}}],["fair",{"_index":1654,"t":{},"b":{"6":{},"7":{}}}],["fairli",{"_index":364,"t":{},"b":{"1":{},"13":{},"16":{}}}],["fals",{"_index":1105,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"11":{},"12":{},"15":{},"20":{},"21":{},"23":{}}}],["false_positive(cm",{"_index":2920,"t":{},"b":{"20":{}}}],["familiar",{"_index":2470,"t":{},"b":{"16":{}}}],["fancier",{"_index":939,"t":{},"b":{"4":{}}}],["fantast",{"_index":2912,"t":{},"b":{"20":{}}}],["far",{"_index":1006,"t":{},"b":{"4":{},"14":{}}}],["fare",{"_index":1434,"t":{},"b":{"5":{}}}],["faster",{"_index":2167,"t":{},"b":{"11":{}}}],["featur",{"_index":363,"t":{},"b":{"1":{},"3":{},"4":{},"6":{},"7":{},"11":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["feature(",{"_index":754,"t":{},"b":{"3":{}}}],["feature2",{"_index":765,"t":{},"b":{"3":{}}}],["feature_selector",{"_index":1213,"t":{},"b":{"5":{}}}],["featureselector",{"_index":3119,"t":{},"b":{"21":{}}}],["featureselector(features=[:hp1",{"_index":3060,"t":{},"b":{"21":{}}}],["februari",{"_index":130,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fece",{"_index":1473,"t":{},"b":{"6":{}}}],["feed",{"_index":1601,"t":{},"b":{"6":{},"13":{}}}],["feedback",{"_index":2454,"t":{},"b":{"16":{}}}],["feel",{"_index":1737,"t":{},"b":{"7":{},"19":{},"22":{}}}],["few",{"_index":195,"t":{},"b":{"1":{},"3":{},"6":{},"10":{},"16":{},"20":{},"22":{}}}],["few_to_finit",{"_index":785,"t":{},"b":{"3":{}}}],["field",{"_index":2054,"t":{},"b":{"10":{},"15":{},"21":{}}}],["figur",{"_index":1859,"t":{},"b":{"7":{}}}],["figure(figsize=(8",{"_index":1843,"t":{},"b":{"7":{},"17":{}}}],["figure(figsize=(8,6",{"_index":1352,"t":{},"b":{"5":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["file",{"_index":556,"t":{},"b":{"2":{}}}],["fill",{"_index":1593,"t":{},"b":{"6":{},"18":{}}}],["filler",{"_index":1595,"t":{},"b":{"6":{}}}],["fillimput",{"_index":1594,"t":{},"b":{"6":{}}}],["final",{"_index":274,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"13":{},"18":{}}}],["find",{"_index":2453,"t":{},"b":{"16":{},"20":{},"22":{}}}],["findall2",{"_index":1556,"t":{},"b":{"6":{}}}],["fine",{"_index":745,"t":{},"b":{"3":{},"5":{}}}],["finer",{"_index":2169,"t":{},"b":{"11":{}}}],["finit",{"_index":721,"t":{},"b":{"3":{},"6":{}}}],["first",{"_index":194,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"8":{},"11":{},"12":{},"13":{},"14":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["first(auto",{"_index":2643,"t":{},"b":{"18":{}}}],["first(b1",{"_index":267,"t":{},"b":{"1":{}}}],["first(b2",{"_index":272,"t":{},"b":{"1":{}}}],["first(boston",{"_index":197,"t":{},"b":{"1":{},"19":{}}}],["first(carseat",{"_index":3302,"t":{},"b":{"23":{}}}],["first(d",{"_index":384,"t":{},"b":{"1":{}}}],["first(data",{"_index":656,"t":{},"b":{"2":{}}}],["first(iri",{"_index":450,"t":{},"b":{"1":{},"8":{}}}],["first(iris2",{"_index":1887,"t":{},"b":{"8":{}}}],["first(x",{"_index":828,"t":{},"b":{"4":{},"5":{},"8":{},"13":{}}}],["fit",{"_index":17,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fit!(clf",{"_index":2900,"t":{},"b":{"20":{}}}],["fit!(cmach",{"_index":903,"t":{},"b":{"4":{}}}],["fit!(dtc",{"_index":1668,"t":{},"b":{"6":{}}}],["fit!(dtr",{"_index":3364,"t":{},"b":{"23":{}}}],["fit!(fil",{"_index":1597,"t":{},"b":{"6":{}}}],["fit!(i",{"_index":994,"t":{},"b":{"4":{},"13":{},"14":{}}}],["fit!(knn",{"_index":2017,"t":{},"b":{"10":{}}}],["fit!(lr1",{"_index":3067,"t":{},"b":{"21":{}}}],["fit!(lr2",{"_index":3072,"t":{},"b":{"21":{}}}],["fit!(lr3",{"_index":3075,"t":{},"b":{"21":{}}}],["fit!(m",{"_index":2425,"t":{},"b":{"15":{}}}],["fit!(m)machine{probabilistictunedmodel",{"_index":2417,"t":{},"b":{"15":{}}}],["fit!(mach",{"_index":1038,"t":{},"b":{"4":{},"19":{},"23":{}}}],["fit!(mach_uni)machine{linearregressor",{"_index":2748,"t":{},"b":{"19":{}}}],["fit!(mlm",{"_index":3042,"t":{},"b":{"21":{}}}],["fit!(mstd",{"_index":2998,"t":{},"b":{"20":{}}}],["fit!(mtm",{"_index":1122,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["fit!(pca",{"_index":1831,"t":{},"b":{"7":{},"17":{}}}],["fit!(pip",{"_index":3209,"t":{},"b":{"22":{}}}],["fit!(rf",{"_index":3380,"t":{},"b":{"23":{}}}],["fit!(spca",{"_index":2554,"t":{},"b":{"17":{}}}],["fit!(spca2",{"_index":2580,"t":{},"b":{"17":{}}}],["fit!(stand",{"_index":2248,"t":{},"b":{"12":{}}}],["fit!(svc",{"_index":3414,"t":{},"b":{"24":{}}}],["fit!(tre",{"_index":2214,"t":{},"b":{"12":{}}}],["fit!(tuned_ensembl",{"_index":2076,"t":{},"b":{"10":{}}}],["fit!(w",{"_index":2309,"t":{},"b":{"13":{}}}],["fit!(xgb",{"_index":3389,"t":{},"b":{"23":{}}}],["fit_intercept",{"_index":1607,"t":{},"b":{"6":{},"7":{},"8":{},"19":{},"21":{}}}],["fitresult",{"_index":2224,"t":{},"b":{"12":{}}}],["fitresults(i",{"_index":1028,"t":{},"b":{"4":{},"14":{}}}],["fitted_param",{"_index":2216,"t":{},"b":{"12":{},"15":{},"19":{}}}],["fitted_params(m).best_model.max_depth1",{"_index":2420,"t":{},"b":{"15":{}}}],["fitted_params(m).best_model.max_depth2",{"_index":2426,"t":{},"b":{"15":{}}}],["fitted_params(mach",{"_index":2764,"t":{},"b":{"19":{}}}],["fitted_params(mach_uni",{"_index":2751,"t":{},"b":{"19":{}}}],["fitted_params(mtm).best_model",{"_index":1125,"t":{},"b":{"4":{},"5":{},"22":{}}}],["fitted_params(mtm).best_model.treedecisiontreeclassifi",{"_index":3357,"t":{},"b":{"23":{}}}],["fitted_params(mtm).best_modelsimplepip",{"_index":1648,"t":{},"b":{"6":{}}}],["fitted_params(mtm.fitresult.fitresult.machin",{"_index":3250,"t":{},"b":{"22":{}}}],["fitted_params(tre",{"_index":2217,"t":{},"b":{"12":{}}}],["fitted_params(tuned_ensemble).best_model",{"_index":2079,"t":{},"b":{"10":{}}}],["fix",{"_index":948,"t":{},"b":{"4":{},"5":{},"11":{}}}],["fl",{"_index":1149,"t":{},"b":{"5":{}}}],["flavanoid",{"_index":1699,"t":{},"b":{"7":{}}}],["float",{"_index":704,"t":{},"b":{"3":{},"7":{},"19":{}}}],["float64",{"_index":200,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"11":{},"13":{},"15":{},"18":{},"19":{},"20":{},"23":{}}}],["flow",{"_index":2297,"t":{},"b":{"13":{}}}],["focus",{"_index":155,"t":{},"b":{"1":{}}}],["fold",{"_index":2043,"t":{},"b":{"10":{},"16":{},"21":{}}}],["folder",{"_index":2460,"t":{},"b":{"16":{}}}],["follow",{"_index":57,"t":{},"b":{"0":{},"4":{},"5":{},"6":{},"9":{},"11":{},"13":{},"16":{},"21":{}}}],["fontsize=12",{"_index":1360,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"20":{},"21":{},"22":{}}}],["fontsize=13",{"_index":2596,"t":{},"b":{"17":{}}}],["fontsize=14",{"_index":1356,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"20":{},"21":{},"22":{}}}],["foo",{"_index":383,"t":{},"b":{"1":{}}}],["foo(x",{"_index":379,"t":{},"b":{"1":{}}}],["foo.csv",{"_index":584,"t":{},"b":{"2":{}}}],["forest",{"_index":2103,"t":{},"b":{"11":{},"15":{},"23":{}}}],["forest.atom.n_subfeatur",{"_index":2139,"t":{},"b":{"11":{}}}],["forest.n",{"_index":2158,"t":{},"b":{"11":{}}}],["forestgradi",{"_index":3298,"t":{},"b":{"23":{}}}],["foresttuningreportingprelim",{"_index":2098,"t":{},"b":{"11":{}}}],["forget",{"_index":1590,"t":{},"b":{"6":{}}}],["form",{"_index":469,"t":{},"b":{"1":{},"14":{},"21":{}}}],["found",{"_index":719,"t":{},"b":{"3":{},"7":{},"25":{}}}],["fp",{"_index":2750,"t":{},"b":{"19":{}}}],["fpath",{"_index":645,"t":{},"b":{"2":{}}}],["fpath=joinpath(\"data",{"_index":586,"t":{},"b":{"2":{}}}],["fpr",{"_index":3018,"t":{},"b":{"20":{}}}],["fraction",{"_index":2092,"t":{},"b":{"10":{},"11":{},"15":{}}}],["fraction_train",{"_index":2411,"t":{},"b":{"15":{}}}],["frame",{"_index":9,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["franklin.jl",{"_index":135,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["from_network",{"_index":2349,"t":{},"b":{"14":{}}}],["fs",{"_index":3118,"t":{},"b":{"21":{}}}],["fs.featur",{"_index":3113,"t":{},"b":{"21":{}}}],["full",{"_index":631,"t":{},"b":{"2":{},"4":{},"5":{},"7":{},"13":{},"14":{},"18":{}}}],["fulli",{"_index":2381,"t":{},"b":{"14":{}}}],["function",{"_index":94,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["fundament",{"_index":2468,"t":{},"b":{"16":{}}}],["further",{"_index":389,"t":{},"b":{"1":{},"20":{}}}],["gadfly.jl",{"_index":2710,"t":{},"b":{"18":{}}}],["gamma",{"_index":1184,"t":{},"b":{"5":{},"6":{},"7":{}}}],["garagearea",{"_index":840,"t":{},"b":{"4":{}}}],["garagecar",{"_index":838,"t":{},"b":{"4":{}}}],["gaston",{"_index":2721,"t":{},"b":{"18":{}}}],["gats1i",{"_index":649,"t":{},"b":{"2":{}}}],["gaussiannbclassifi",{"_index":1922,"t":{},"b":{"8":{}}}],["gaussianprocessclassifi",{"_index":1924,"t":{},"b":{"8":{}}}],["gbtree",{"_index":1181,"t":{},"b":{"5":{}}}],["gdf",{"_index":483,"t":{},"b":{"1":{}}}],["gdf[1",{"_index":487,"t":{},"b":{"1":{}}}],["gender",{"_index":413,"t":{},"b":{"1":{},"9":{}}}],["gener",{"_index":1239,"t":{},"b":{"5":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"24":{}}}],["generalis",{"_index":3343,"t":{},"b":{"23":{}}}],["gentl",{"_index":2475,"t":{},"b":{"16":{}}}],["gentler",{"_index":3103,"t":{},"b":{"21":{}}}],["get",{"_index":13,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["get_mse(lr",{"_index":3078,"t":{},"b":{"21":{}}}],["get_mse(lr1",{"_index":3081,"t":{},"b":{"21":{}}}],["get_mse(lr2",{"_index":3082,"t":{},"b":{"21":{}}}],["get_mse(lr3",{"_index":3086,"t":{},"b":{"21":{}}}],["get_mse(lr3)get_mse(lr1",{"_index":3083,"t":{},"b":{"21":{}}}],["ggplot2",{"_index":2714,"t":{},"b":{"18":{}}}],["gilbert",{"_index":862,"t":{},"b":{"4":{}}}],["gist",{"_index":3104,"t":{},"b":{"21":{}}}],["give",{"_index":516,"t":{},"b":{"1":{},"10":{},"12":{},"18":{},"19":{}}}],["given",{"_index":507,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"8":{},"9":{},"13":{},"19":{},"23":{}}}],["glm",{"_index":1930,"t":{},"b":{"8":{},"19":{}}}],["glm.jl",{"_index":1955,"t":{},"b":{"8":{}}}],["go",{"_index":1639,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"16":{}}}],["goal",{"_index":1097,"t":{},"b":{"4":{},"6":{},"15":{},"21":{}}}],["good",{"_index":1873,"t":{},"b":{"7":{},"13":{},"20":{},"22":{},"23":{}}}],["gradient",{"_index":3383,"t":{},"b":{"23":{}}}],["gradientboostingclassifi",{"_index":1925,"t":{},"b":{"8":{}}}],["grammar",{"_index":2712,"t":{},"b":{"18":{}}}],["graph",{"_index":2288,"t":{},"b":{"13":{}}}],["graphic",{"_index":2713,"t":{},"b":{"18":{}}}],["great",{"_index":1380,"t":{},"b":{"5":{}}}],["green",{"_index":2589,"t":{},"b":{"17":{}}}],["grid",{"_index":1083,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["grid(resolution=10",{"_index":3288,"t":{},"b":{"22":{}}}],["grid(resolution=3",{"_index":1085,"t":{},"b":{"4":{}}}],["grlivarea",{"_index":832,"t":{},"b":{"4":{}}}],["ground",{"_index":2330,"t":{},"b":{"13":{},"20":{}}}],["group",{"_index":77,"t":{},"b":{"0":{},"1":{},"17":{}}}],["groupbi",{"_index":467,"t":{},"b":{"1":{}}}],["groupby(df",{"_index":477,"t":{},"b":{"1":{}}}],["groupby(iri",{"_index":484,"t":{},"b":{"1":{}}}],["grow_polici",{"_index":1200,"t":{},"b":{"5":{}}}],["grown",{"_index":1678,"t":{},"b":{"7":{}}}],["gtbex3",{"_index":424,"t":{},"b":{"1":{}}}],["guid",{"_index":2492,"t":{},"b":{"16":{}}}],["gymnast",{"_index":3102,"t":{},"b":{"21":{}}}],["handl",{"_index":0,"t":{"0":{}},"b":{"0":{},"6":{}}}],["happen",{"_index":2886,"t":{},"b":{"20":{}}}],["hcat(x",{"_index":2797,"t":{},"b":{"19":{}}}],["hcat(x.lstat",{"_index":2808,"t":{},"b":{"19":{}}}],["header",{"_index":627,"t":{},"b":{"2":{},"6":{}}}],["header=[\"class",{"_index":1690,"t":{},"b":{"7":{}}}],["header=fals",{"_index":672,"t":{},"b":{"2":{}}}],["header=head",{"_index":655,"t":{},"b":{"2":{},"6":{}}}],["heatmap",{"_index":1385,"t":{},"b":{"5":{},"11":{}}}],["height",{"_index":1969,"t":{},"b":{"9":{}}}],["held",{"_index":1626,"t":{},"b":{"6":{}}}],["help",{"_index":441,"t":{},"b":{"1":{},"5":{},"8":{},"9":{},"16":{}}}],["helper",{"_index":729,"t":{},"b":{"3":{}}}],["here",{"_index":101,"t":{},"b":{"0":{},"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["hierarchi",{"_index":718,"t":{},"b":{"3":{}}}],["high",{"_index":113,"t":{},"b":{"0":{},"3":{},"7":{},"23":{}}}],["high\"])6",{"_index":116,"t":{},"b":{"0":{}}}],["higher",{"_index":2938,"t":{},"b":{"20":{},"21":{},"23":{}}}],["highlight",{"_index":2478,"t":{},"b":{"16":{}}}],["hist(i",{"_index":3189,"t":{},"b":{"22":{}}}],["hist(r",{"_index":2791,"t":{},"b":{"19":{},"22":{}}}],["histogram",{"_index":1769,"t":{},"b":{"7":{},"19":{},"22":{}}}],["hit",{"_index":3162,"t":{},"b":{"22":{}}}],["hitter",{"_index":3156,"t":{},"b":{"22":{}}}],["hmrun",{"_index":3163,"t":{},"b":{"22":{}}}],["hold",{"_index":1232,"t":{},"b":{"5":{},"20":{}}}],["holdout",{"_index":2410,"t":{},"b":{"15":{}}}],["home",{"_index":5,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["homogen",{"_index":2024,"t":{},"b":{"10":{}}}],["hors",{"_index":42,"t":{"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["horsepow",{"_index":2648,"t":{},"b":{"18":{},"21":{}}}],["horsepower=range(50",{"_index":3046,"t":{},"b":{"21":{}}}],["hospit",{"_index":1533,"t":{},"b":{"6":{}}}],["hospital_numb",{"_index":1459,"t":{},"b":{"6":{}}}],["hot",{"_index":941,"t":{},"b":{"4":{},"6":{},"9":{},"16":{},"22":{},"23":{}}}],["hottreeclf",{"_index":3337,"t":{},"b":{"23":{}}}],["hottreeclf(hot",{"_index":3336,"t":{},"b":{"23":{}}}],["hous",{"_index":813,"t":{},"b":{"4":{}}}],["hp",{"_index":3053,"t":{},"b":{"21":{}}}],["hp1",{"_index":3069,"t":{},"b":{"21":{}}}],["hp2",{"_index":3070,"t":{},"b":{"21":{}}}],["hp2=hp.^2",{"_index":3057,"t":{},"b":{"21":{}}}],["hp2=hpn.^2",{"_index":3091,"t":{},"b":{"21":{}}}],["hp3",{"_index":3073,"t":{},"b":{"21":{}}}],["hp3=hp.^3",{"_index":3058,"t":{},"b":{"21":{}}}],["hp3=hpn.^3",{"_index":3092,"t":{},"b":{"21":{}}}],["hpn",{"_index":3088,"t":{},"b":{"21":{}}}],["http",{"_index":1450,"t":{},"b":{"6":{},"7":{}}}],["http.get(\"https://archive.ics.uci.edu/ml/machin",{"_index":1452,"t":{},"b":{"6":{},"7":{}}}],["http.jl",{"_index":1686,"t":{},"b":{"7":{}}}],["hue",{"_index":1704,"t":{},"b":{"7":{}}}],["huge",{"_index":2971,"t":{},"b":{"20":{}}}],["hunch",{"_index":1730,"t":{},"b":{"7":{}}}],["hyperparamet",{"_index":880,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"22":{}}}],["hyperparameters\"arrow",{"_index":2265,"t":{},"b":{"13":{}}}],["hyperparameterspecifi",{"_index":2394,"t":{},"b":{"15":{}}}],["i.",{"_index":72,"t":{},"b":{"0":{},"20":{}}}],["id",{"_index":412,"t":{},"b":{"1":{}}}],["idea",{"_index":2142,"t":{},"b":{"11":{},"18":{},"23":{}}}],["idx_missing_outcom",{"_index":1555,"t":{},"b":{"6":{}}}],["idxshow",{"_index":3277,"t":{},"b":{"22":{}}}],["ifelse.(carseats.sal",{"_index":3332,"t":{},"b":{"23":{}}}],["ignor",{"_index":3179,"t":{},"b":{"22":{}}}],["ignorerepeated=tru",{"_index":1485,"t":{},"b":{"6":{}}}],["iid",{"_index":2629,"t":{},"b":{"18":{}}}],["implement",{"_index":727,"t":{},"b":{"3":{},"8":{},"12":{},"15":{}}}],["implicit",{"_index":2042,"t":{},"b":{"10":{}}}],["implicitli",{"_index":1990,"t":{},"b":{"9":{},"10":{},"11":{}}}],["import",{"_index":690,"t":{},"b":{"3":{},"4":{},"13":{},"19":{},"20":{},"22":{}}}],["improv",{"_index":1659,"t":{},"b":{"6":{}}}],["imput",{"_index":1550,"t":{},"b":{"6":{},"16":{}}}],["includ",{"_index":3269,"t":{},"b":{"22":{}}}],["incom",{"_index":3305,"t":{},"b":{"23":{}}}],["increas",{"_index":2144,"t":{},"b":{"11":{},"20":{}}}],["increment",{"_index":3106,"t":{},"b":{"21":{}}}],["inde",{"_index":2946,"t":{},"b":{"20":{}}}],["index",{"_index":2635,"t":{},"b":{"18":{}}}],["indic",{"_index":360,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"15":{},"18":{},"20":{},"21":{}}}],["individu",{"_index":945,"t":{},"b":{"4":{}}}],["indu",{"_index":181,"t":{},"b":{"1":{},"3":{},"19":{}}}],["infer",{"_index":1883,"t":{},"b":{"8":{},"14":{},"20":{}}}],["infinit",{"_index":724,"t":{},"b":{"3":{}}}],["influenc",{"_index":2711,"t":{},"b":{"18":{}}}],["inform",{"_index":506,"t":{},"b":{"1":{},"3":{},"10":{},"12":{},"15":{},"16":{}}}],["initi",{"_index":991,"t":{},"b":{"4":{},"6":{},"7":{},"15":{}}}],["input",{"_index":878,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"13":{},"14":{}}}],["inspect",{"_index":735,"t":{},"b":{"3":{},"5":{},"6":{},"12":{},"15":{},"17":{},"23":{}}}],["inspir",{"_index":1139,"t":{},"b":{"5":{}}}],["instanc",{"_index":378,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"15":{},"19":{},"20":{},"24":{}}}],["instanti",{"_index":1032,"t":{},"b":{"4":{},"10":{},"21":{}}}],["instead",{"_index":2532,"t":{},"b":{"17":{}}}],["insur",{"_index":2818,"t":{},"b":{"20":{}}}],["int",{"_index":695,"t":{},"b":{"3":{}}}],["int64",{"_index":201,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"19":{}}}],["integ",{"_index":791,"t":{},"b":{"3":{},"7":{},"19":{},"22":{}}}],["intend",{"_index":734,"t":{},"b":{"3":{}}}],["intens",{"_index":1703,"t":{},"b":{"7":{}}}],["interact",{"_index":2793,"t":{},"b":{"19":{}}}],["intercept",{"_index":2784,"t":{},"b":{"19":{},"22":{}}}],["interest",{"_index":264,"t":{},"b":{"1":{},"15":{},"17":{},"20":{}}}],["interestingli",{"_index":1042,"t":{},"b":{"4":{},"6":{}}}],["interfac",{"_index":1900,"t":{},"b":{"8":{},"23":{}}}],["interpret",{"_index":679,"t":{"3":{}},"b":{"3":{},"6":{},"7":{},"8":{},"13":{},"16":{},"19":{},"20":{}}}],["interpretationmachin",{"_index":1875,"t":{},"b":{"8":{}}}],["intro",{"_index":26,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["introduc",{"_index":2835,"t":{},"b":{"20":{}}}],["introduct",{"_index":154,"t":{},"b":{"1":{},"2":{},"16":{},"21":{}}}],["intuit",{"_index":170,"t":{},"b":{"1":{},"7":{},"20":{}}}],["invers",{"_index":946,"t":{},"b":{"4":{},"12":{},"13":{}}}],["inverse_transform",{"_index":2242,"t":{},"b":{"12":{}}}],["inverse_transform(1…03",{"_index":2328,"t":{},"b":{"13":{}}}],["inverse_transform(1…71",{"_index":2365,"t":{},"b":{"14":{}}}],["inverse_transform(box",{"_index":2325,"t":{},"b":{"13":{},"14":{}}}],["inverse_transform(stand",{"_index":2259,"t":{},"b":{"12":{}}}],["inverse_transform(z",{"_index":2344,"t":{},"b":{"13":{}}}],["invert",{"_index":990,"t":{},"b":{"4":{},"13":{}}}],["investig",{"_index":1382,"t":{},"b":{"5":{},"6":{},"20":{}}}],["invit",{"_index":1767,"t":{},"b":{"7":{}}}],["iri",{"_index":448,"t":{},"b":{"1":{},"2":{},"4":{},"8":{},"12":{}}}],["iris2",{"_index":1885,"t":{},"b":{"8":{}}}],["is_probabilistic=tru",{"_index":1619,"t":{},"b":{"6":{},"7":{},"14":{},"23":{}}}],["is_probabilistic=truemnpip",{"_index":1785,"t":{},"b":{"7":{}}}],["isl",{"_index":2480,"t":{},"b":{"16":{},"20":{},"21":{}}}],["islr",{"_index":2973,"t":{},"b":{"20":{}}}],["ismissing.(datac.outcom",{"_index":1554,"t":{},"b":{"6":{}}}],["ismissing.(i",{"_index":3181,"t":{},"b":{"22":{}}}],["it'",{"_index":750,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"13":{},"14":{},"19":{},"22":{},"23":{}}}],["itali",{"_index":1680,"t":{},"b":{"7":{}}}],["itself",{"_index":2201,"t":{},"b":{"12":{},"20":{}}}],["j",{"_index":3110,"t":{},"b":{"21":{}}}],["john",{"_index":712,"t":{},"b":{"3":{}}}],["joinpath",{"_index":620,"t":{},"b":{"2":{}}}],["jointli",{"_index":2048,"t":{},"b":{"10":{}}}],["juic",{"_index":2536,"t":{},"b":{"17":{}}}],["julia",{"_index":247,"t":{},"b":{"1":{},"2":{},"4":{},"7":{},"8":{},"13":{},"16":{},"18":{},"19":{}}}],["k",{"_index":952,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{},"21":{}}}],["k_rang",{"_index":1060,"t":{},"b":{"4":{},"10":{}}}],["kdtree",{"_index":954,"t":{},"b":{"4":{},"10":{}}}],["keep",{"_index":1449,"t":{},"b":{"6":{},"12":{}}}],["kernel",{"_index":3427,"t":{},"b":{"24":{}}}],["key",{"_index":156,"t":{},"b":{"1":{},"6":{}}}],["keyword",{"_index":1986,"t":{},"b":{"9":{},"15":{}}}],["kind",{"_index":2559,"t":{},"b":{"17":{}}}],["kind=:target",{"_index":1019,"t":{},"b":{"4":{},"14":{}}}],["kind=:target)source{:target",{"_index":968,"t":{},"b":{"4":{},"13":{},"14":{}}}],["km",{"_index":2575,"t":{},"b":{"17":{}}}],["kmean",{"_index":2572,"t":{},"b":{"17":{}}}],["kmeans(k=3",{"_index":2576,"t":{},"b":{"17":{}}}],["knc",{"_index":1945,"t":{},"b":{"8":{}}}],["kneighborsclassifi",{"_index":1927,"t":{},"b":{"8":{}}}],["kneighborsclassifierkneighborsclassifi",{"_index":1946,"t":{},"b":{"8":{}}}],["knn",{"_index":935,"t":{"20":{}},"b":{"4":{},"7":{},"9":{},"10":{},"16":{},"20":{}}}],["knn_model",{"_index":1022,"t":{},"b":{"4":{},"10":{}}}],["knn_model.k",{"_index":1062,"t":{},"b":{"4":{}}}],["knn_model::knnregressor",{"_index":1013,"t":{},"b":{"4":{}}}],["knn_weight",{"_index":1056,"t":{},"b":{"4":{}}}],["knn_weight::float64",{"_index":1015,"t":{},"b":{"4":{}}}],["knnc",{"_index":2965,"t":{},"b":{"20":{}}}],["knnc.k",{"_index":2969,"t":{},"b":{"20":{}}}],["knnclassifi",{"_index":1778,"t":{},"b":{"7":{},"8":{},"20":{}}}],["knnclassifier(k=1",{"_index":2966,"t":{},"b":{"20":{}}}],["knnpipe(std=standard",{"_index":1781,"t":{},"b":{"7":{}}}],["knnregressor",{"_index":1094,"t":{},"b":{"4":{},"9":{},"10":{}}}],["knnregressor(k=10)knnregressor",{"_index":2013,"t":{},"b":{"10":{}}}],["knnregressor(k=3",{"_index":1984,"t":{},"b":{"9":{}}}],["knnregressor(k=5",{"_index":1001,"t":{},"b":{"4":{}}}],["knnregressorknnregressor",{"_index":951,"t":{},"b":{"4":{}}}],["knnridgeblend",{"_index":1011,"t":{},"b":{"4":{}}}],["knnridgeblend(knnregressor(k=5",{"_index":1034,"t":{},"b":{"4":{}}}],["know",{"_index":1506,"t":{},"b":{"6":{},"7":{}}}],["known",{"_index":563,"t":{},"b":{"2":{},"3":{},"4":{}}}],["krb",{"_index":1033,"t":{},"b":{"4":{}}}],["krb.knn_model.k",{"_index":1048,"t":{},"b":{"4":{}}}],["krb.knn_weight",{"_index":1047,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambda",{"_index":1050,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambdakrb.knn_weight",{"_index":1049,"t":{},"b":{"4":{}}}],["krb_best",{"_index":1124,"t":{},"b":{"4":{}}}],["krb_best.knn_model.k",{"_index":1126,"t":{},"b":{"4":{}}}],["krb_best.knn_weight",{"_index":1130,"t":{},"b":{"4":{}}}],["krb_best.knn_weightkrb_best.knn_model.k",{"_index":1128,"t":{},"b":{"4":{}}}],["krb_best.ridge_model.lambda",{"_index":1127,"t":{},"b":{"4":{}}}],["l2",{"_index":1606,"t":{},"b":{"6":{},"7":{}}}],["l_rang",{"_index":1066,"t":{},"b":{"4":{}}}],["lab",{"_index":28,"t":{"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["label",{"_index":80,"t":{},"b":{"0":{},"3":{}}}],["label=\"exponenti",{"_index":3199,"t":{},"b":{"22":{}}}],["label=\"laplac",{"_index":3226,"t":{},"b":{"22":{}}}],["label=\"norm",{"_index":3224,"t":{},"b":{"22":{}}}],["label=\"ord",{"_index":3099,"t":{},"b":{"21":{}}}],["lag1",{"_index":2827,"t":{},"b":{"20":{}}}],["lag2",{"_index":2828,"t":{},"b":{"20":{}}}],["lag3",{"_index":2829,"t":{},"b":{"20":{}}}],["lag4",{"_index":2830,"t":{},"b":{"20":{}}}],["lag5",{"_index":2831,"t":{},"b":{"20":{}}}],["lambda",{"_index":1055,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"13":{}}}],["lasso",{"_index":2482,"t":{"22":{}},"b":{"16":{},"22":{}}}],["lassoregressor",{"_index":3155,"t":{},"b":{"22":{}}}],["last",{"_index":128,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["last(test)+1:nrows(x",{"_index":3005,"t":{},"b":{"20":{}}}],["last(train",{"_index":1504,"t":{},"b":{"6":{}}}],["last(train)+1:length(i",{"_index":2934,"t":{},"b":{"20":{}}}],["later",{"_index":2285,"t":{},"b":{"13":{},"20":{}}}],["latex",{"_index":2719,"t":{},"b":{"18":{}}}],["layer",{"_index":970,"t":{},"b":{"4":{},"13":{},"14":{}}}],["lc50",{"_index":653,"t":{},"b":{"2":{}}}],["lda",{"_index":1928,"t":{"20":{}},"b":{"8":{},"16":{},"20":{}}}],["lead",{"_index":971,"t":{},"b":{"4":{}}}],["leaf_siz",{"_index":1948,"t":{},"b":{"8":{}}}],["leafsiz",{"_index":957,"t":{},"b":{"4":{},"10":{}}}],["leagu",{"_index":3172,"t":{},"b":{"22":{}}}],["league__a",{"_index":3271,"t":{},"b":{"22":{}}}],["league__n",{"_index":3272,"t":{},"b":{"22":{}}}],["learn",{"_index":24,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["learning_curve!(m",{"_index":2150,"t":{},"b":{"11":{}}}],["learning_curve!(xgbm",{"_index":1244,"t":{},"b":{"5":{}}}],["leav",{"_index":2219,"t":{},"b":{"12":{},"20":{}}}],["left",{"_index":1552,"t":{},"b":{"6":{},"12":{},"21":{}}}],["legend([\"class",{"_index":1858,"t":{},"b":{"7":{}}}],["legend([\"group",{"_index":2597,"t":{},"b":{"17":{}}}],["legend(fontsize=12",{"_index":3200,"t":{},"b":{"22":{}}}],["legend(fontsize=14",{"_index":3100,"t":{},"b":{"21":{}}}],["length",{"_index":2109,"t":{},"b":{"11":{}}}],["length(coefs)0.2727272727272727",{"_index":3267,"t":{},"b":{"22":{}}}],["length(sch.nam",{"_index":2105,"t":{},"b":{"11":{}}}],["length(unique(datac.hospital_number))346",{"_index":1537,"t":{},"b":{"6":{}}}],["length(x",{"_index":381,"t":{},"b":{"1":{},"18":{}}}],["length(x)x",{"_index":2604,"t":{},"b":{"18":{}}}],["length=100",{"_index":2760,"t":{},"b":{"19":{},"21":{},"22":{}}}],["lesion",{"_index":1496,"t":{},"b":{"6":{}}}],["lesion_1",{"_index":1480,"t":{},"b":{"6":{}}}],["lesion_2",{"_index":1481,"t":{},"b":{"6":{}}}],["lesion_3",{"_index":1482,"t":{},"b":{"6":{}}}],["let'",{"_index":95,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["level",{"_index":81,"t":{},"b":{"0":{},"4":{},"7":{}}}],["levels!(v",{"_index":115,"t":{},"b":{"0":{}}}],["levels(i",{"_index":1168,"t":{},"b":{"5":{}}}],["levels(v)3",{"_index":82,"t":{},"b":{"0":{}}}],["lexicograph",{"_index":86,"t":{},"b":{"0":{},"20":{}}}],["lfit",{"_index":3220,"t":{},"b":{"22":{}}}],["liber",{"_index":2477,"t":{},"b":{"16":{}}}],["librari",{"_index":2625,"t":{},"b":{"18":{}}}],["lienart",{"_index":126,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["limit",{"_index":636,"t":{},"b":{"2":{},"6":{}}}],["line",{"_index":630,"t":{},"b":{"2":{},"7":{},"17":{},"21":{}}}],["linear",{"_index":1250,"t":{"19":{}},"b":{"5":{},"6":{},"10":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["linearbinaryclassifi",{"_index":1929,"t":{},"b":{"8":{}}}],["linearregressor",{"_index":1954,"t":{},"b":{"8":{},"19":{},"21":{},"22":{}}}],["linearregressor()linearregressor",{"_index":2743,"t":{},"b":{"19":{}}}],["linestyle=\"non",{"_index":1846,"t":{},"b":{"7":{}}}],["link",{"_index":50,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["linmod",{"_index":3063,"t":{},"b":{"21":{}}}],["linmod(f",{"_index":3059,"t":{},"b":{"21":{}}}],["linreg",{"_index":1958,"t":{},"b":{"8":{}}}],["list",{"_index":561,"t":{},"b":{"2":{},"3":{},"18":{}}}],["littl",{"_index":1874,"t":{},"b":{"7":{}}}],["lm",{"_index":3039,"t":{},"b":{"21":{}}}],["load",{"_index":8,"t":{"2":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["load_am",{"_index":820,"t":{},"b":{"4":{}}}],["load_boston",{"_index":2104,"t":{},"b":{"11":{}}}],["load_crab",{"_index":1145,"t":{},"b":{"5":{}}}],["load_iri",{"_index":1896,"t":{},"b":{"8":{},"12":{},"15":{}}}],["load_reduced_am",{"_index":821,"t":{},"b":{"4":{}}}],["local",{"_index":555,"t":{},"b":{"2":{}}}],["log",{"_index":942,"t":{},"b":{"4":{}}}],["log(i",{"_index":976,"t":{},"b":{"4":{}}}],["log10",{"_index":2066,"t":{},"b":{"10":{}}}],["logarithm",{"_index":2067,"t":{},"b":{"10":{}}}],["logist",{"_index":1777,"t":{"20":{}},"b":{"7":{},"20":{}}}],["logisticclassifi",{"_index":1932,"t":{},"b":{"8":{},"20":{}}}],["logisticcvclassifi",{"_index":1931,"t":{},"b":{"8":{}}}],["look",{"_index":1351,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"11":{},"16":{},"17":{},"19":{},"20":{},"22":{}}}],["loos",{"_index":58,"t":{},"b":{"0":{},"1":{}}}],["loss",{"_index":928,"t":{},"b":{"4":{},"20":{}}}],["lossfunct",{"_index":1144,"t":{},"b":{"5":{}}}],["lot",{"_index":438,"t":{},"b":{"1":{},"4":{},"6":{}}}],["lotarea",{"_index":837,"t":{},"b":{"4":{}}}],["low",{"_index":112,"t":{},"b":{"0":{},"3":{},"11":{}}}],["lower",{"_index":1655,"t":{},"b":{"6":{},"15":{},"23":{}}}],["lower=0",{"_index":1371,"t":{},"b":{"5":{}}}],["lower=0.1",{"_index":1071,"t":{},"b":{"4":{},"22":{},"24":{}}}],["lower=0.4",{"_index":2165,"t":{},"b":{"11":{},"15":{}}}],["lower=0.5",{"_index":2062,"t":{},"b":{"10":{}}}],["lower=0.6",{"_index":1416,"t":{},"b":{"5":{}}}],["lower=1",{"_index":1068,"t":{},"b":{"4":{},"6":{},"10":{},"11":{},"15":{},"22":{},"23":{}}}],["lower=10",{"_index":2148,"t":{},"b":{"11":{}}}],["lower=2",{"_index":1063,"t":{},"b":{"4":{},"23":{}}}],["lower=3",{"_index":1369,"t":{},"b":{"5":{}}}],["lower=50",{"_index":1242,"t":{},"b":{"5":{}}}],["lower=500",{"_index":3245,"t":{},"b":{"22":{}}}],["lr",{"_index":3061,"t":{},"b":{"21":{}}}],["lr1",{"_index":3064,"t":{},"b":{"21":{}}}],["lr2",{"_index":3071,"t":{},"b":{"21":{}}}],["lr3",{"_index":3074,"t":{},"b":{"21":{}}}],["lrm",{"_index":3062,"t":{},"b":{"21":{}}}],["lrm.fs.featur",{"_index":3068,"t":{},"b":{"21":{}}}],["ls=\"none",{"_index":2432,"t":{},"b":{"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["lstat",{"_index":191,"t":{},"b":{"1":{},"3":{},"19":{}}}],["lstat2",{"_index":2812,"t":{},"b":{"19":{}}}],["lstat^2",{"_index":2807,"t":{},"b":{"19":{}}}],["lw=3",{"_index":3051,"t":{},"b":{"21":{},"22":{}}}],["m",{"_index":1903,"t":{},"b":{"8":{},"9":{},"11":{},"15":{},"17":{}}}],["m.package_nam",{"_index":1907,"t":{},"b":{"8":{}}}],["m.prediction_typ",{"_index":1905,"t":{},"b":{"8":{}}}],["mach",{"_index":1036,"t":{},"b":{"4":{},"6":{},"19":{},"23":{}}}],["mach_uni",{"_index":2747,"t":{},"b":{"19":{}}}],["machin",{"_index":159,"t":{"24":{}},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"23":{},"24":{}}}],["machine(bayesianlda",{"_index":2948,"t":{},"b":{"20":{}}}],["machine(bayesianqda",{"_index":2962,"t":{},"b":{"20":{}}}],["machine(box_model",{"_index":2322,"t":{},"b":{"13":{},"14":{}}}],["machine(compositemodel",{"_index":2376,"t":{},"b":{"14":{}}}],["machine(creg",{"_index":894,"t":{},"b":{"4":{}}}],["machine(decisiontreeregressor",{"_index":2130,"t":{},"b":{"11":{}}}],["machine(dtr_model",{"_index":3363,"t":{},"b":{"23":{}}}],["machine(ensemble_model",{"_index":2032,"t":{},"b":{"10":{}}}],["machine(fillimput",{"_index":1596,"t":{},"b":{"6":{}}}],["machine(forest",{"_index":2146,"t":{},"b":{"11":{}}}],["machine(knn_model",{"_index":1025,"t":{},"b":{"4":{},"10":{}}}],["machine(knnc",{"_index":2967,"t":{},"b":{"20":{}}}],["machine(knnclassifier(k=3",{"_index":3006,"t":{},"b":{"20":{}}}],["machine(knnpip",{"_index":1796,"t":{},"b":{"7":{}}}],["machine(knnregressor(k=5",{"_index":978,"t":{},"b":{"4":{}}}],["machine(krb",{"_index":1037,"t":{},"b":{"4":{}}}],["machine(lda(dist=cosinedist",{"_index":2954,"t":{},"b":{"20":{}}}],["machine(lm",{"_index":3041,"t":{},"b":{"21":{}}}],["machine(logisticclassifi",{"_index":2897,"t":{},"b":{"20":{}}}],["machine(lrm",{"_index":3065,"t":{},"b":{"21":{}}}],["machine(m.box_model",{"_index":2388,"t":{},"b":{"14":{}}}],["machine(mdl",{"_index":2392,"t":{},"b":{"14":{},"19":{},"23":{}}}],["machine(mnpip",{"_index":1798,"t":{},"b":{"7":{}}}],["machine(model",{"_index":3208,"t":{},"b":{"22":{}}}],["machine(onehotencod",{"_index":974,"t":{},"b":{"4":{}}}],["machine(pca_mdl",{"_index":2521,"t":{},"b":{"17":{}}}],["machine(pcapip",{"_index":1830,"t":{},"b":{"7":{}}}],["machine(rf_mdl",{"_index":3379,"t":{},"b":{"23":{}}}],["machine(ridge_model",{"_index":1024,"t":{},"b":{"4":{},"13":{},"14":{}}}],["machine(ridgeregressor(lambda=2.5",{"_index":979,"t":{},"b":{"4":{}}}],["machine(simplepip",{"_index":1620,"t":{},"b":{"6":{}}}],["machine(spca2_mdl",{"_index":2579,"t":{},"b":{"17":{}}}],["machine(spca_mdl",{"_index":2553,"t":{},"b":{"17":{}}}],["machine(stand_model",{"_index":2245,"t":{},"b":{"12":{}}}],["machine(standard",{"_index":2302,"t":{},"b":{"13":{},"20":{}}}],["machine(std_model",{"_index":2358,"t":{},"b":{"14":{}}}],["machine(svc_mdl",{"_index":3413,"t":{},"b":{"24":{}}}],["machine(tm",{"_index":1121,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["machine(tree_model",{"_index":2203,"t":{},"b":{"12":{}}}],["machine(tuned_forest",{"_index":2176,"t":{},"b":{"11":{}}}],["machine(xgb",{"_index":1234,"t":{},"b":{"5":{}}}],["machine(xgb_mdl",{"_index":3388,"t":{},"b":{"23":{}}}],["machine(xgboostclassifi",{"_index":1667,"t":{},"b":{"6":{}}}],["machineget",{"_index":3299,"t":{},"b":{"23":{}}}],["machinemor",{"_index":1135,"t":{},"b":{"5":{}}}],["machinetrain",{"_index":2190,"t":{},"b":{"12":{}}}],["machineunsupervis",{"_index":2194,"t":{},"b":{"12":{}}}],["macro",{"_index":1978,"t":{},"b":{"9":{},"14":{}}}],["macrodefin",{"_index":2350,"t":{},"b":{"14":{}}}],["made",{"_index":2102,"t":{},"b":{"11":{}}}],["magnesium",{"_index":1696,"t":{},"b":{"7":{}}}],["magnesium=>continu",{"_index":1734,"t":{},"b":{"7":{}}}],["make",{"_index":405,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"11":{},"12":{},"13":{},"16":{},"20":{}}}],["maki",{"_index":2720,"t":{},"b":{"18":{}}}],["malibu",{"_index":2658,"t":{},"b":{"18":{}}}],["malic",{"_index":1692,"t":{},"b":{"7":{}}}],["manag",{"_index":1861,"t":{},"b":{"7":{}}}],["mani",{"_index":560,"t":{},"b":{"2":{},"3":{},"6":{},"10":{},"11":{},"18":{},"19":{},"20":{}}}],["manifest.toml",{"_index":2459,"t":{},"b":{"16":{}}}],["manipul",{"_index":136,"t":{"1":{}},"b":{"1":{},"16":{},"18":{}}}],["manual",{"_index":2345,"t":{},"b":{"13":{}}}],["mao",{"_index":407,"t":{},"b":{"1":{}}}],["mao31co2",{"_index":437,"t":{},"b":{"1":{}}}],["mao31cod",{"_index":436,"t":{},"b":{"1":{}}}],["maoa31",{"_index":433,"t":{},"b":{"1":{}}}],["maoai2",{"_index":420,"t":{},"b":{"1":{}}}],["maoavntr",{"_index":426,"t":{},"b":{"1":{}}}],["maobi2",{"_index":422,"t":{},"b":{"1":{}}}],["map",{"_index":2887,"t":{},"b":{"20":{}}}],["margin",{"_index":3418,"t":{},"b":{"24":{}}}],["maria",{"_index":713,"t":{},"b":{"3":{}}}],["mark",{"_index":2879,"t":{},"b":{"20":{}}}],["marker",{"_index":2593,"t":{},"b":{"17":{}}}],["marker=\"o",{"_index":1847,"t":{},"b":{"7":{},"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["marker=\"x",{"_index":3406,"t":{},"b":{"24":{}}}],["markersize=10",{"_index":2594,"t":{},"b":{"17":{}}}],["market",{"_index":2815,"t":{},"b":{"20":{}}}],["mask1",{"_index":2583,"t":{},"b":{"17":{}}}],["mask2",{"_index":2584,"t":{},"b":{"17":{}}}],["mask3",{"_index":2585,"t":{},"b":{"17":{}}}],["mask_1",{"_index":1840,"t":{},"b":{"7":{}}}],["mask_2",{"_index":1841,"t":{},"b":{"7":{}}}],["mask_3",{"_index":1842,"t":{},"b":{"7":{}}}],["mass",{"_index":569,"t":{},"b":{"2":{}}}],["mat",{"_index":393,"t":{},"b":{"1":{}}}],["mat[1:3",{"_index":395,"t":{},"b":{"1":{}}}],["match",{"_index":102,"t":{},"b":{"0":{},"8":{},"21":{}}}],["math",{"_index":2617,"t":{},"b":{"18":{}}}],["matplotlib",{"_index":2716,"t":{},"b":{"18":{}}}],["matrix",{"_index":252,"t":{},"b":{"1":{},"6":{},"18":{},"20":{},"21":{}}}],["max",{"_index":287,"t":{},"b":{"1":{}}}],["max)5×4",{"_index":489,"t":{},"b":{"1":{}}}],["max_bin",{"_index":1203,"t":{},"b":{"5":{}}}],["max_delta_step",{"_index":1187,"t":{},"b":{"5":{}}}],["max_depth",{"_index":1185,"t":{},"b":{"5":{},"11":{},"12":{},"15":{},"23":{}}}],["max_depth=10",{"_index":3387,"t":{},"b":{"23":{}}}],["max_leav",{"_index":1202,"t":{},"b":{"5":{}}}],["maximum",{"_index":637,"t":{},"b":{"2":{},"5":{},"11":{},"15":{}}}],["mayb",{"_index":1664,"t":{},"b":{"6":{},"19":{}}}],["mce",{"_index":2238,"t":{},"b":{"12":{}}}],["mcr",{"_index":1632,"t":{},"b":{"6":{},"7":{}}}],["mcr_k",{"_index":1808,"t":{},"b":{"7":{}}}],["mcr_m",{"_index":1810,"t":{},"b":{"7":{}}}],["mcw",{"_index":1390,"t":{},"b":{"5":{}}}],["md",{"_index":1388,"t":{},"b":{"5":{}}}],["mdl",{"_index":2390,"t":{},"b":{"14":{},"19":{},"23":{}}}],["mean",{"_index":151,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"10":{},"11":{},"12":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["mean(estimates.per_fold[1",{"_index":2046,"t":{},"b":{"10":{}}}],["mean(estimates.per_fold[1])estimates.measurement[1",{"_index":2045,"t":{},"b":{"10":{}}}],["mean(w",{"_index":2252,"t":{},"b":{"12":{}}}],["mean(x",{"_index":2631,"t":{},"b":{"18":{}}}],["mean(y[test",{"_index":3008,"t":{},"b":{"20":{}}}],["mean)3×2",{"_index":509,"t":{},"b":{"1":{}}}],["mean0.6129047398190444",{"_index":1658,"t":{},"b":{"6":{}}}],["mean0.8421915405806384",{"_index":1670,"t":{},"b":{"6":{}}}],["mean23.44591836734694",{"_index":2699,"t":{},"b":{"18":{}}}],["meant",{"_index":152,"t":{},"b":{"1":{},"16":{}}}],["measur",{"_index":1106,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"21":{}}}],["measure=[rm",{"_index":2133,"t":{},"b":{"11":{}}}],["measure=cross_entropi",{"_index":1377,"t":{},"b":{"5":{},"6":{},"7":{}}}],["measure=cross_entropy)probabilistictunedmodel",{"_index":2409,"t":{},"b":{"15":{}}}],["measure=hingeloss())(parameter_nam",{"_index":1248,"t":{},"b":{"5":{}}}],["measure=misclassification_r",{"_index":2424,"t":{},"b":{"15":{},"23":{},"24":{}}}],["measure=rm",{"_index":1994,"t":{},"b":{"9":{},"10":{},"11":{},"14":{},"15":{},"22":{},"23":{}}}],["measure=rms)deterministictunedmodel",{"_index":3117,"t":{},"b":{"21":{}}}],["measure=rmsl)deterministictunedmodel",{"_index":1093,"t":{},"b":{"4":{}}}],["med",{"_index":111,"t":{},"b":{"0":{}}}],["median",{"_index":288,"t":{},"b":{"1":{},"11":{},"18":{}}}],["medium",{"_index":3330,"t":{},"b":{"23":{}}}],["medv",{"_index":192,"t":{},"b":{"1":{},"3":{},"19":{},"23":{}}}],["merge_purity_threshold",{"_index":2126,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["messi",{"_index":1448,"t":{},"b":{"6":{}}}],["method",{"_index":1807,"t":{},"b":{"7":{},"9":{},"10":{},"12":{},"14":{}}}],["metric",{"_index":955,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{}}}],["metric_param",{"_index":1951,"t":{},"b":{"8":{}}}],["min",{"_index":286,"t":{},"b":{"1":{}}}],["min_child_weight",{"_index":1186,"t":{},"b":{"5":{}}}],["min_purity_increas",{"_index":2123,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_leaf",{"_index":2121,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_split",{"_index":2122,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["minimum",{"_index":1365,"t":{},"b":{"5":{},"11":{}}}],["minkowski",{"_index":1950,"t":{},"b":{"8":{}}}],["misclassif",{"_index":1629,"t":{},"b":{"6":{},"7":{},"15":{},"20":{},"24":{}}}],["misclassification_r",{"_index":2428,"t":{},"b":{"15":{}}}],["misclassification_rate(i",{"_index":1633,"t":{},"b":{"6":{},"20":{}}}],["misclassification_rate(mode.(i",{"_index":1661,"t":{},"b":{"6":{}}}],["misclassification_rate(predict_mode(knn",{"_index":1809,"t":{},"b":{"7":{}}}],["misclassification_rate(predict_mode(multi",{"_index":1811,"t":{},"b":{"7":{}}}],["misclassification_rate(ypr",{"_index":3338,"t":{},"b":{"23":{},"24":{}}}],["miss",{"_index":120,"t":{},"b":{"0":{},"1":{},"2":{},"6":{},"7":{},"9":{},"10":{},"11":{},"16":{},"19":{},"22":{}}}],["missclassif",{"_index":1660,"t":{},"b":{"6":{}}}],["missing_outcom",{"_index":1553,"t":{},"b":{"6":{}}}],["missingstr",{"_index":639,"t":{},"b":{"2":{},"6":{}}}],["mitchel",{"_index":848,"t":{},"b":{"4":{}}}],["mix",{"_index":877,"t":{},"b":{"4":{}}}],["ml",{"_index":2476,"t":{},"b":{"16":{}}}],["mlj",{"_index":3,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["mlj.fit(m::compositemodel2",{"_index":2386,"t":{},"b":{"14":{}}}],["mlj.fit(model::knnridgeblend",{"_index":1017,"t":{},"b":{"4":{}}}],["mlj.jl",{"_index":2452,"t":{},"b":{"16":{}}}],["mlj.predict(clf",{"_index":2901,"t":{},"b":{"20":{}}}],["mlj.predict(dtc",{"_index":1669,"t":{},"b":{"6":{}}}],["mlj.predict(mtm",{"_index":1656,"t":{},"b":{"6":{}}}],["mlj.table(x",{"_index":3408,"t":{},"b":{"24":{}}}],["mljbase.numericrange{mljbase.bounded,int64,symbol}[numericrang",{"_index":2415,"t":{},"b":{"15":{}}}],["mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1110,"t":{},"b":{"4":{}}}],["mljlinearmodel",{"_index":1933,"t":{},"b":{"8":{},"19":{}}}],["mljmodel",{"_index":1918,"t":{},"b":{"8":{}}}],["mljmodelinterface.predict",{"_index":1109,"t":{},"b":{"4":{},"15":{},"21":{}}}],["mljmodels.jl",{"_index":1901,"t":{},"b":{"8":{}}}],["mljscientifictyp",{"_index":737,"t":{},"b":{"3":{}}}],["mljscientifictypes.jl",{"_index":730,"t":{},"b":{"3":{}}}],["mljtutori",{"_index":3428,"t":{"25":{}},"b":{}}],["mlm",{"_index":3040,"t":{},"b":{"21":{}}}],["mlogloss",{"_index":1220,"t":{},"b":{"5":{}}}],["mlogp",{"_index":652,"t":{},"b":{"2":{}}}],["mnc",{"_index":1817,"t":{},"b":{"7":{}}}],["mnpipe(std=standard",{"_index":1783,"t":{},"b":{"7":{}}}],["mode",{"_index":2231,"t":{},"b":{"12":{},"15":{},"20":{}}}],["mode(ŷ[1])ȳ[1",{"_index":2235,"t":{},"b":{"12":{}}}],["mode(ŷ[1",{"_index":2236,"t":{},"b":{"12":{}}}],["mode.(ŷ)2",{"_index":2947,"t":{},"b":{"20":{}}}],["model",{"_index":16,"t":{"8":{},"9":{},"10":{},"11":{},"15":{},"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["model.knn_model",{"_index":1023,"t":{},"b":{"4":{}}}],["model.knn_weight",{"_index":1026,"t":{},"b":{"4":{}}}],["model.ridge_model",{"_index":1021,"t":{},"b":{"4":{}}}],["modelbabi",{"_index":810,"t":{},"b":{"4":{}}}],["modeldata",{"_index":1880,"t":{},"b":{"8":{}}}],["modeliniti",{"_index":1445,"t":{},"b":{"6":{}}}],["modelknn",{"_index":803,"t":{},"b":{"4":{}}}],["modelmodel",{"_index":1878,"t":{},"b":{"8":{}}}],["modelnam",{"_index":2731,"t":{},"b":{"19":{}}}],["models(matching(x",{"_index":1904,"t":{},"b":{"8":{}}}],["modelsplit",{"_index":2192,"t":{},"b":{"12":{}}}],["modeltri",{"_index":1444,"t":{},"b":{"6":{}}}],["modeltun",{"_index":2396,"t":{},"b":{"15":{}}}],["modifi",{"_index":129,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["more",{"_index":505,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"8":{},"10":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["move",{"_index":2467,"t":{},"b":{"16":{}}}],["mpg",{"_index":2645,"t":{},"b":{"18":{},"21":{}}}],["mpl",{"_index":518,"t":{},"b":{"1":{}}}],["mssubclass",{"_index":839,"t":{},"b":{"4":{}}}],["mstd",{"_index":2997,"t":{},"b":{"20":{}}}],["mtm",{"_index":1120,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["mtm.model.model.reg",{"_index":3243,"t":{},"b":{"22":{}}}],["mtm.model.rang",{"_index":3244,"t":{},"b":{"22":{}}}],["mtm.model.tun",{"_index":3287,"t":{},"b":{"22":{}}}],["much",{"_index":1408,"t":{},"b":{"5":{},"6":{},"7":{},"15":{},"20":{}}}],["mucous_membran",{"_index":1465,"t":{},"b":{"6":{}}}],["multi",{"_index":1797,"t":{},"b":{"7":{}}}],["multiclass",{"_index":722,"t":{},"b":{"3":{},"6":{},"7":{}}}],["multiclass{15",{"_index":846,"t":{},"b":{"4":{}}}],["multiclass{2",{"_index":3311,"t":{},"b":{"23":{}}}],["multiclass{25",{"_index":845,"t":{},"b":{"4":{}}}],["multiclass{3",{"_index":1882,"t":{},"b":{"8":{},"23":{}}}],["multinomi",{"_index":1776,"t":{},"b":{"7":{},"16":{}}}],["multinomialclassifi",{"_index":1603,"t":{},"b":{"6":{},"7":{},"8":{}}}],["multipl",{"_index":761,"t":{},"b":{"3":{},"10":{},"11":{},"18":{}}}],["multivari",{"_index":2742,"t":{},"b":{"19":{},"20":{}}}],["multivariatestat",{"_index":1914,"t":{},"b":{"8":{}}}],["murder",{"_index":2501,"t":{},"b":{"17":{}}}],["mutabl",{"_index":1009,"t":{},"b":{"4":{},"14":{}}}],["mutat",{"_index":276,"t":{},"b":{"1":{}}}],["mypipe(x",{"_index":1982,"t":{},"b":{"9":{}}}],["n",{"_index":1114,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["n(0",{"_index":2630,"t":{},"b":{"18":{}}}],["n=20",{"_index":2031,"t":{},"b":{"10":{}}}],["n_job",{"_index":1952,"t":{},"b":{"8":{}}}],["n_neighbor",{"_index":1947,"t":{},"b":{"8":{}}}],["n_subfeatur",{"_index":2124,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["naivebay",{"_index":1923,"t":{},"b":{"8":{}}}],["name",{"_index":176,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"12":{},"14":{},"18":{},"19":{},"22":{}}}],["namedtupl",{"_index":2944,"t":{},"b":{"20":{}}}],["names(auto)9",{"_index":2696,"t":{},"b":{"18":{}}}],["names(boston)14",{"_index":177,"t":{},"b":{"1":{}}}],["names(data)5",{"_index":2499,"t":{},"b":{"17":{}}}],["names(datac",{"_index":1565,"t":{},"b":{"6":{}}}],["names(hitt",{"_index":3158,"t":{},"b":{"22":{}}}],["names(smarket",{"_index":2826,"t":{},"b":{"20":{}}}],["names(smarket)size(smarket",{"_index":2824,"t":{},"b":{"20":{}}}],["names(w)6",{"_index":2556,"t":{},"b":{"17":{}}}],["nasogastric_reflux",{"_index":1471,"t":{},"b":{"6":{}}}],["nasogastric_reflux_ph",{"_index":1472,"t":{},"b":{"6":{}}}],["nasogastric_tub",{"_index":1470,"t":{},"b":{"6":{}}}],["natur",{"_index":1589,"t":{},"b":{"6":{}}}],["nb",{"_index":2141,"t":{},"b":{"11":{}}}],["ncol",{"_index":2700,"t":{},"b":{"18":{}}}],["ncol(auto",{"_index":2705,"t":{},"b":{"18":{}}}],["ncol(auto)size(auto",{"_index":2703,"t":{},"b":{"18":{}}}],["ncolumn",{"_index":2641,"t":{},"b":{"18":{}}}],["ndfit",{"_index":3218,"t":{},"b":{"22":{}}}],["ndsch",{"_index":650,"t":{},"b":{"2":{}}}],["ndssc",{"_index":651,"t":{},"b":{"2":{}}}],["nearest",{"_index":1943,"t":{},"b":{"8":{},"10":{},"20":{}}}],["nearestneighbor",{"_index":1926,"t":{},"b":{"8":{},"20":{}}}],["need",{"_index":93,"t":{},"b":{"0":{},"2":{},"3":{},"4":{},"6":{},"8":{},"11":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["neg",{"_index":2881,"t":{},"b":{"20":{}}}],["neighbor",{"_index":2095,"t":{},"b":{"10":{},"20":{}}}],["neighborhood",{"_index":833,"t":{},"b":{"4":{}}}],["neighbour",{"_index":1944,"t":{},"b":{"8":{},"10":{}}}],["nest",{"_index":1044,"t":{},"b":{"4":{},"10":{},"11":{},"15":{}}}],["net",{"_index":3152,"t":{},"b":{"22":{}}}],["network",{"_index":25,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["networksourc",{"_index":2263,"t":{},"b":{"13":{}}}],["never",{"_index":732,"t":{},"b":{"3":{}}}],["new",{"_index":2382,"t":{},"b":{"14":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["newleagu",{"_index":3177,"t":{},"b":{"22":{}}}],["newleague_a",{"_index":3275,"t":{},"b":{"22":{}}}],["newleague_n",{"_index":3276,"t":{},"b":{"22":{}}}],["nfold",{"_index":1104,"t":{},"b":{"4":{},"21":{}}}],["nice",{"_index":1558,"t":{},"b":{"6":{},"10":{}}}],["nl1",{"_index":2981,"t":{},"b":{"20":{}}}],["nl2",{"_index":2984,"t":{},"b":{"20":{}}}],["nl2)#no",{"_index":2988,"t":{},"b":{"20":{}}}],["nmiss",{"_index":375,"t":{},"b":{"1":{}}}],["nmissing)19×2",{"_index":410,"t":{},"b":{"1":{}}}],["no_miss",{"_index":3180,"t":{},"b":{"22":{}}}],["node",{"_index":963,"t":{},"b":{"4":{},"13":{},"14":{}}}],["nodesmodifi",{"_index":2264,"t":{},"b":{"13":{}}}],["nominalrang",{"_index":3122,"t":{},"b":{"21":{}}}],["non",{"_index":1979,"t":{},"b":{"9":{}}}],["nonflavanoid",{"_index":1700,"t":{},"b":{"7":{}}}],["normal",{"_index":915,"t":{},"b":{"4":{},"20":{}}}],["normalize_typ",{"_index":1208,"t":{},"b":{"5":{}}}],["not(:crim",{"_index":279,"t":{},"b":{"1":{}}}],["not(:direct",{"_index":2860,"t":{},"b":{"20":{}}}],["not(:hospital_numb",{"_index":1540,"t":{},"b":{"6":{}}}],["not(:medv",{"_index":2741,"t":{},"b":{"19":{}}}],["not(:nox",{"_index":271,"t":{},"b":{"1":{}}}],["not(:stat",{"_index":2517,"t":{},"b":{"17":{}}}],["not([:sal",{"_index":3334,"t":{},"b":{"23":{}}}],["not([:year",{"_index":2896,"t":{},"b":{"20":{}}}],["not(unw",{"_index":1501,"t":{},"b":{"6":{}}}],["note",{"_index":502,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["notebook",{"_index":44,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["noth",{"_index":1098,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{}}}],["now",{"_index":107,"t":{},"b":{"0":{},"1":{},"4":{},"5":{},"6":{},"7":{},"10":{},"11":{},"12":{},"13":{},"14":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["nox",{"_index":183,"t":{},"b":{"1":{},"3":{},"19":{}}}],["nrow",{"_index":2640,"t":{},"b":{"18":{}}}],["nrow(auto",{"_index":2702,"t":{},"b":{"18":{}}}],["nrows(datac",{"_index":1568,"t":{},"b":{"6":{}}}],["num_round",{"_index":1179,"t":{},"b":{"5":{}}}],["number",{"_index":173,"t":{},"b":{"1":{},"2":{},"5":{},"6":{},"8":{},"10":{},"11":{},"18":{},"19":{},"20":{},"25":{}}}],["numer",{"_index":817,"t":{},"b":{"4":{},"9":{},"17":{}}}],["numericrang",{"_index":1076,"t":{},"b":{"4":{}}}],["nuniqu",{"_index":374,"t":{},"b":{"1":{}}}],["o",{"_index":1170,"t":{},"b":{"5":{}}}],["object",{"_index":167,"t":{},"b":{"1":{},"2":{},"5":{},"12":{},"14":{},"20":{}}}],["observ",{"_index":911,"t":{},"b":{"4":{},"6":{},"8":{}}}],["obtain",{"_index":2209,"t":{},"b":{"12":{},"21":{},"22":{}}}],["occur",{"_index":2893,"t":{},"b":{"20":{}}}],["od280/od315",{"_index":1705,"t":{},"b":{"7":{}}}],["offer",{"_index":283,"t":{},"b":{"1":{},"2":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{}}}],["oj",{"_index":2538,"t":{},"b":{"17":{}}}],["ok",{"_index":1514,"t":{},"b":{"6":{},"19":{},"22":{}}}],["old",{"_index":2267,"t":{},"b":{"13":{}}}],["on",{"_index":243,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"22":{},"23":{}}}],["onc",{"_index":2406,"t":{},"b":{"15":{}}}],["one_drop",{"_index":1211,"t":{},"b":{"5":{}}}],["onehotencod",{"_index":1000,"t":{},"b":{"4":{},"6":{},"9":{},"22":{},"23":{}}}],["ones(10",{"_index":3398,"t":{},"b":{"24":{}}}],["ones(10))20",{"_index":3399,"t":{},"b":{"24":{}}}],["onto",{"_index":1821,"t":{},"b":{"7":{}}}],["oper",{"_index":1108,"t":{},"b":{"4":{},"6":{},"13":{},"14":{},"15":{},"18":{},"19":{},"21":{}}}],["operation4",{"_index":2606,"t":{},"b":{"18":{}}}],["operation=predict_mod",{"_index":2422,"t":{},"b":{"15":{},"23":{}}}],["operations/transform",{"_index":2299,"t":{},"b":{"13":{}}}],["opt",{"_index":1802,"t":{},"b":{"7":{}}}],["optim",{"_index":1399,"t":{},"b":{"5":{},"15":{}}}],["option",{"_index":2241,"t":{},"b":{"12":{}}}],["orang",{"_index":2535,"t":{},"b":{"17":{}}}],["order",{"_index":87,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"8":{},"9":{},"14":{},"15":{},"16":{},"19":{},"20":{},"21":{}}}],["ordered=tru",{"_index":90,"t":{},"b":{"0":{}}}],["ordered_factor",{"_index":1650,"t":{},"b":{"6":{}}}],["orderedfactor",{"_index":723,"t":{},"b":{"3":{},"7":{},"8":{},"20":{}}}],["orderedfactor{10",{"_index":844,"t":{},"b":{"4":{}}}],["orderedfactor{2",{"_index":798,"t":{},"b":{"3":{},"6":{}}}],["orderedfactor{22",{"_index":1888,"t":{},"b":{"8":{}}}],["orderedfactor{24",{"_index":1526,"t":{},"b":{"6":{}}}],["orderedfactor{26",{"_index":796,"t":{},"b":{"3":{}}}],["orderedfactor{3",{"_index":1524,"t":{},"b":{"6":{}}}],["orderedfactor{4",{"_index":1522,"t":{},"b":{"6":{}}}],["orderedfactor{46",{"_index":800,"t":{},"b":{"3":{}}}],["orderedfactor{5",{"_index":1525,"t":{},"b":{"6":{}}}],["orderedfactor{6",{"_index":1523,"t":{},"b":{"6":{}}}],["orderedfactor{9",{"_index":799,"t":{},"b":{"3":{}}}],["origin",{"_index":485,"t":{},"b":{"1":{},"3":{},"15":{},"16":{},"18":{}}}],["otherwis",{"_index":1030,"t":{},"b":{"4":{},"7":{},"8":{},"12":{},"16":{},"20":{}}}],["ourselv",{"_index":646,"t":{},"b":{"2":{}}}],["out",{"_index":1627,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"14":{},"22":{}}}],["out_of_bag_measur",{"_index":2058,"t":{},"b":{"10":{},"11":{},"15":{}}}],["outcom",{"_index":892,"t":{},"b":{"4":{},"6":{}}}],["output",{"_index":912,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"20":{}}}],["outsid",{"_index":1937,"t":{},"b":{"8":{}}}],["over",{"_index":1057,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"10":{},"11":{},"21":{}}}],["overallqu",{"_index":831,"t":{},"b":{"4":{}}}],["overfit",{"_index":1171,"t":{},"b":{"5":{},"23":{}}}],["overview",{"_index":284,"t":{},"b":{"1":{}}}],["p",{"_index":1949,"t":{},"b":{"8":{},"11":{}}}],["packag",{"_index":558,"t":{},"b":{"2":{},"3":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["packed_cell_volum",{"_index":1475,"t":{},"b":{"6":{}}}],["page",{"_index":562,"t":{},"b":{"2":{},"16":{}}}],["pain",{"_index":1467,"t":{},"b":{"6":{}}}],["pair",{"_index":377,"t":{},"b":{"1":{},"3":{},"8":{},"10":{}}}],["pairwis",{"_index":2861,"t":{},"b":{"20":{}}}],["panda",{"_index":147,"t":{},"b":{"1":{}}}],["param",{"_index":1052,"t":{},"b":{"4":{},"15":{}}}],["paramet",{"_index":1016,"t":{},"b":{"4":{},"5":{},"7":{},"9":{},"10":{},"12":{},"13":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["parameter_scal",{"_index":1249,"t":{},"b":{"5":{}}}],["parameter_valu",{"_index":1251,"t":{},"b":{"5":{}}}],["params(ensemble_model",{"_index":2055,"t":{},"b":{"10":{}}}],["params(forest",{"_index":2160,"t":{},"b":{"11":{},"15":{}}}],["params(krb",{"_index":1053,"t":{},"b":{"4":{}}}],["parent",{"_index":504,"t":{},"b":{"1":{}}}],["pars",{"_index":638,"t":{},"b":{"2":{}}}],["part",{"_index":568,"t":{},"b":{"2":{},"13":{},"20":{},"21":{}}}],["partial",{"_index":2484,"t":{},"b":{"16":{}}}],["particular",{"_index":582,"t":{},"b":{"2":{},"3":{}}}],["particularli",{"_index":157,"t":{},"b":{"1":{},"4":{}}}],["partit",{"_index":2208,"t":{},"b":{"12":{}}}],["partition(eachindex(i",{"_index":899,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"13":{},"14":{},"21":{},"22":{},"23":{}}}],["partition(eachindex(yc",{"_index":1789,"t":{},"b":{"7":{}}}],["pass",{"_index":359,"t":{},"b":{"1":{},"2":{},"6":{}}}],["path",{"_index":585,"t":{},"b":{"2":{},"19":{}}}],["pca",{"_index":1824,"t":{"17":{}},"b":{"7":{},"16":{},"17":{}}}],["pca'd",{"_index":2522,"t":{},"b":{"17":{}}}],["pca(maxoutdim=2",{"_index":1833,"t":{},"b":{"7":{}}}],["pca(pratio=1",{"_index":2520,"t":{},"b":{"17":{}}}],["pca(rows=train",{"_index":1834,"t":{},"b":{"7":{}}}],["pca_mdl",{"_index":2519,"t":{},"b":{"17":{}}}],["pcapipe(std=standard",{"_index":1828,"t":{},"b":{"7":{}}}],["pctdiscch",{"_index":2547,"t":{},"b":{"17":{}}}],["pctdiscmm",{"_index":2546,"t":{},"b":{"17":{}}}],["pdf.(edfit",{"_index":3197,"t":{},"b":{"22":{}}}],["pdf.(lfit",{"_index":3225,"t":{},"b":{"22":{}}}],["pdf.(ndfit",{"_index":3222,"t":{},"b":{"22":{}}}],["pdf_smooth",{"_index":2197,"t":{},"b":{"12":{},"15":{},"23":{}}}],["penalize_intercept",{"_index":1608,"t":{},"b":{"6":{},"7":{}}}],["penalti",{"_index":1605,"t":{},"b":{"6":{},"7":{},"22":{},"24":{}}}],["per",{"_index":387,"t":{},"b":{"1":{},"6":{}}}],["per_fold",{"_index":1996,"t":{},"b":{"9":{},"10":{},"11":{}}}],["per_observ",{"_index":1997,"t":{},"b":{"9":{},"10":{},"11":{}}}],["percent",{"_index":1641,"t":{},"b":{"6":{}}}],["percentil",{"_index":372,"t":{},"b":{"1":{}}}],["perf_k",{"_index":1867,"t":{},"b":{"7":{}}}],["perf_m",{"_index":1868,"t":{},"b":{"7":{}}}],["perfectli",{"_index":3340,"t":{},"b":{"23":{}}}],["perform",{"_index":932,"t":{},"b":{"4":{},"7":{},"11":{},"13":{},"21":{},"24":{}}}],["peripheral_puls",{"_index":1464,"t":{},"b":{"6":{}}}],["peristalsi",{"_index":1468,"t":{},"b":{"6":{}}}],["permut",{"_index":2610,"t":{},"b":{"18":{}}}],["permutedims(reshape([1",{"_index":2611,"t":{},"b":{"18":{}}}],["permutedims2×2",{"_index":2614,"t":{},"b":{"18":{}}}],["petalength",{"_index":513,"t":{},"b":{"1":{}}}],["petallength",{"_index":454,"t":{},"b":{"1":{},"8":{}}}],["petallength_mean",{"_index":510,"t":{},"b":{"1":{}}}],["petallength_std",{"_index":531,"t":{},"b":{"1":{}}}],["petalwidth",{"_index":455,"t":{},"b":{"1":{},"8":{}}}],["petalwidth_std",{"_index":532,"t":{},"b":{"1":{}}}],["pgfplot",{"_index":2718,"t":{},"b":{"18":{}}}],["pgfplotsx.jl",{"_index":2717,"t":{},"b":{"18":{}}}],["phenol",{"_index":1698,"t":{},"b":{"7":{}}}],["pipe",{"_index":1981,"t":{},"b":{"9":{},"22":{}}}],["pipe.hot.drop_last",{"_index":1989,"t":{},"b":{"9":{}}}],["pipe.knn.k",{"_index":1988,"t":{},"b":{"9":{}}}],["pipe.model.reg",{"_index":3230,"t":{},"b":{"22":{}}}],["pipelin",{"_index":1615,"t":{},"b":{"6":{},"7":{},"9":{},"13":{},"16":{},"17":{},"20":{},"21":{},"22":{},"23":{}}}],["pipelinebaselinebas",{"_index":3148,"t":{},"b":{"22":{}}}],["pipelineclusteringget",{"_index":2497,"t":{},"b":{"17":{}}}],["pipelineelast",{"_index":3151,"t":{},"b":{"22":{}}}],["pipelinegener",{"_index":1963,"t":{},"b":{"9":{}}}],["pipelineget",{"_index":3153,"t":{},"b":{"22":{}}}],["pipelinemor",{"_index":2495,"t":{},"b":{"17":{}}}],["pkg",{"_index":2461,"t":{},"b":{"16":{},"18":{},"19":{}}}],["pkg.activ",{"_index":2462,"t":{},"b":{"16":{}}}],["pkg.add(\"mljlinearmodel",{"_index":2735,"t":{},"b":{"19":{}}}],["pkg.add(\"statsbas",{"_index":2626,"t":{},"b":{"18":{}}}],["pkg.instanti",{"_index":2463,"t":{},"b":{"16":{}}}],["pkg=\"glm\"linearregressor",{"_index":1959,"t":{},"b":{"8":{}}}],["pkg=\"mljlinearmodel",{"_index":1780,"t":{},"b":{"7":{}}}],["pkg=\"mljlinearmodels\"multinomialclassifi",{"_index":1604,"t":{},"b":{"6":{}}}],["pkg=\"multivariatestat",{"_index":950,"t":{},"b":{"4":{}}}],["pkg=\"nearestneighbor",{"_index":1779,"t":{},"b":{"7":{}}}],["pkg=\"thepackag",{"_index":1957,"t":{},"b":{"8":{}}}],["pkg=cluster",{"_index":2573,"t":{},"b":{"17":{}}}],["pkg=decisiontre",{"_index":3300,"t":{},"b":{"23":{}}}],["pkg=libsvm",{"_index":3411,"t":{},"b":{"24":{}}}],["pkg=mljlinearmodel",{"_index":2895,"t":{},"b":{"20":{},"22":{}}}],["pkg=mljlinearmodelslinearregressor",{"_index":2733,"t":{},"b":{"19":{},"21":{}}}],["pkg=multivariatestat",{"_index":2268,"t":{},"b":{"13":{},"14":{},"17":{},"20":{}}}],["pkg=nearestneighbor",{"_index":2964,"t":{},"b":{"20":{}}}],["pkg=packagenam",{"_index":2732,"t":{},"b":{"19":{}}}],["pkg=scikitlearn",{"_index":3376,"t":{},"b":{"23":{}}}],["pkg=scikitlearnbayesianqda",{"_index":2957,"t":{},"b":{"20":{}}}],["place",{"_index":277,"t":{},"b":{"1":{}}}],["play",{"_index":2533,"t":{},"b":{"17":{}}}],["pleas",{"_index":2457,"t":{},"b":{"16":{}}}],["plot",{"_index":1384,"t":{},"b":{"5":{},"11":{},"15":{},"18":{}}}],["plot(1:length(c",{"_index":2570,"t":{},"b":{"17":{}}}],["plot(curve.parameter_valu",{"_index":1353,"t":{},"b":{"5":{}}}],["plot(curves.parameter_valu",{"_index":2151,"t":{},"b":{"11":{}}}],["plot(fpr",{"_index":3022,"t":{},"b":{"20":{}}}],["plot(i",{"_index":3185,"t":{},"b":{"22":{}}}],["plot(mpg",{"_index":2723,"t":{},"b":{"18":{}}}],["plot(res.parameter_valu",{"_index":2431,"t":{},"b":{"15":{}}}],["plot(w[m",{"_index":2591,"t":{},"b":{"17":{}}}],["plot(x.horsepow",{"_index":3034,"t":{},"b":{"21":{}}}],["plot(x.lstat",{"_index":2757,"t":{},"b":{"19":{}}}],["plot(x.volum",{"_index":2874,"t":{},"b":{"20":{}}}],["plot(x1[mask_1",{"_index":1844,"t":{},"b":{"7":{}}}],["plot(x1[mask_2",{"_index":1849,"t":{},"b":{"7":{}}}],["plot(x1[mask_3",{"_index":1852,"t":{},"b":{"7":{}}}],["plot(x[ym1",{"_index":3402,"t":{},"b":{"24":{}}}],["plot(x[ym2",{"_index":3404,"t":{},"b":{"24":{}}}],["plot(xnew.lstat",{"_index":2761,"t":{},"b":{"19":{}}}],["plot(xx",{"_index":3198,"t":{},"b":{"22":{}}}],["plot(xx.horsepow",{"_index":3050,"t":{},"b":{"21":{}}}],["plots.jl",{"_index":2708,"t":{},"b":{"18":{}}}],["plymouth",{"_index":2670,"t":{},"b":{"18":{}}}],["point",{"_index":705,"t":{},"b":{"3":{},"6":{},"7":{},"12":{},"13":{},"18":{},"19":{},"24":{}}}],["pointless",{"_index":1864,"t":{},"b":{"7":{}}}],["poli",{"_index":3066,"t":{},"b":{"21":{}}}],["polynomi",{"_index":3032,"t":{},"b":{"21":{}}}],["popul",{"_index":3307,"t":{},"b":{"23":{}}}],["posit",{"_index":2880,"t":{},"b":{"20":{}}}],["possibl",{"_index":715,"t":{},"b":{"3":{},"20":{}}}],["post",{"_index":1140,"t":{},"b":{"5":{}}}],["post_prun",{"_index":2125,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["power",{"_index":578,"t":{},"b":{"2":{},"21":{}}}],["pprint(atom",{"_index":2056,"t":{},"b":{"10":{},"11":{},"15":{}}}],["pprint(knn_model",{"_index":1054,"t":{},"b":{"4":{}}}],["pprint(measur",{"_index":1995,"t":{},"b":{"9":{},"10":{},"11":{}}}],["pprint(tre",{"_index":2218,"t":{},"b":{"12":{}}}],["pprint[\"b",{"_index":1169,"t":{},"b":{"5":{}}}],["pprint[distributions.normal{float64}(μ=179454.34347399411",{"_index":908,"t":{},"b":{"4":{}}}],["pprint[univariatefinite(down=>0.521",{"_index":2940,"t":{},"b":{"20":{}}}],["pprintdict(\"b",{"_index":1226,"t":{},"b":{"5":{}}}],["pprintsize(hitt",{"_index":3159,"t":{},"b":{"22":{}}}],["pr",{"_index":2455,"t":{},"b":{"16":{}}}],["pre",{"_index":784,"t":{},"b":{"3":{},"6":{}}}],["precis",{"_index":1729,"t":{},"b":{"7":{},"20":{}}}],["precision(i",{"_index":2923,"t":{},"b":{"20":{}}}],["pred",{"_index":1039,"t":{},"b":{"4":{}}}],["predict",{"_index":18,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["predict(1…92",{"_index":984,"t":{},"b":{"4":{}}}],["predict(3…17",{"_index":2362,"t":{},"b":{"14":{}}}],["predict(5…71",{"_index":2329,"t":{},"b":{"13":{}}}],["predict(cmach",{"_index":905,"t":{},"b":{"4":{}}}],["predict(dtr",{"_index":3365,"t":{},"b":{"23":{}}}],["predict(knn",{"_index":981,"t":{},"b":{"4":{},"10":{}}}],["predict(lr1",{"_index":3094,"t":{},"b":{"21":{}}}],["predict(lr2",{"_index":3096,"t":{},"b":{"21":{}}}],["predict(lr3",{"_index":3098,"t":{},"b":{"21":{}}}],["predict(m",{"_index":2188,"t":{},"b":{"11":{}}}],["predict(mach",{"_index":1040,"t":{},"b":{"4":{},"19":{}}}],["predict(mach_uni",{"_index":2762,"t":{},"b":{"19":{}}}],["predict(machine(m.ridge_model",{"_index":2389,"t":{},"b":{"14":{}}}],["predict(mlm",{"_index":3049,"t":{},"b":{"21":{}}}],["predict(mtm",{"_index":1131,"t":{},"b":{"4":{},"21":{},"22":{},"23":{},"24":{}}}],["predict(pip",{"_index":3210,"t":{},"b":{"22":{}}}],["predict(rf",{"_index":3381,"t":{},"b":{"23":{}}}],["predict(ridg",{"_index":980,"t":{},"b":{"4":{},"13":{},"14":{}}}],["predict(svc",{"_index":3415,"t":{},"b":{"24":{}}}],["predict(tre",{"_index":2226,"t":{},"b":{"12":{}}}],["predict(tuned_ensembl",{"_index":2096,"t":{},"b":{"10":{}}}],["predict(xgb",{"_index":3390,"t":{},"b":{"23":{}}}],["predict_mean",{"_index":921,"t":{},"b":{"4":{}}}],["predict_mean(cmach",{"_index":924,"t":{},"b":{"4":{}}}],["predict_mod",{"_index":2232,"t":{},"b":{"12":{},"20":{}}}],["predict_mode(clf",{"_index":2910,"t":{},"b":{"20":{}}}],["predict_mode(mach",{"_index":1631,"t":{},"b":{"6":{},"23":{}}}],["predict_mode(mtm",{"_index":1435,"t":{},"b":{"5":{},"23":{}}}],["predict_mode(tre",{"_index":2233,"t":{},"b":{"12":{}}}],["predictor",{"_index":1205,"t":{},"b":{"5":{}}}],["preds)0.117305990205669",{"_index":1132,"t":{},"b":{"4":{}}}],["preds)0.12278602255214813",{"_index":1041,"t":{},"b":{"4":{}}}],["preliminari",{"_index":1998,"t":{},"b":{"10":{},"12":{},"13":{},"14":{}}}],["prelimsrandom",{"_index":2097,"t":{},"b":{"11":{}}}],["prepar",{"_index":2284,"t":{},"b":{"13":{},"22":{}}}],["preparationridg",{"_index":3147,"t":{},"b":{"22":{}}}],["present",{"_index":788,"t":{},"b":{"3":{},"10":{},"16":{}}}],["pretti",{"_index":1229,"t":{},"b":{"5":{},"7":{},"8":{},"13":{},"20":{},"22":{},"23":{}}}],["prettyprint",{"_index":822,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"20":{},"22":{},"23":{},"24":{}}}],["prettysize(x",{"_index":829,"t":{},"b":{"4":{},"5":{}}}],["previou",{"_index":2101,"t":{},"b":{"11":{},"14":{}}}],["price",{"_index":814,"t":{},"b":{"4":{},"17":{},"23":{}}}],["pricech",{"_index":2539,"t":{},"b":{"17":{}}}],["pricediff",{"_index":2545,"t":{},"b":{"17":{}}}],["pricemm",{"_index":2540,"t":{},"b":{"17":{}}}],["primari",{"_index":2489,"t":{},"b":{"16":{}}}],["primer",{"_index":2602,"t":{},"b":{"18":{}}}],["println",{"_index":1720,"t":{},"b":{"7":{},"19":{}}}],["println(\"#$(vals[1",{"_index":2986,"t":{},"b":{"20":{}}}],["println(\"#$(vals[2",{"_index":2987,"t":{},"b":{"20":{}}}],["println(rpad",{"_index":1719,"t":{},"b":{"7":{},"19":{}}}],["println(rpad(\"$nam",{"_index":1518,"t":{},"b":{"6":{},"7":{},"19":{}}}],["println(rpad(\"intercept",{"_index":2774,"t":{},"b":{"19":{}}}],["println(rpad(\"knn",{"_index":1812,"t":{},"b":{"7":{}}}],["println(rpad(\"mnc",{"_index":1634,"t":{},"b":{"6":{},"7":{}}}],["println(rpad(m.nam",{"_index":1906,"t":{},"b":{"8":{}}}],["println(rpad(nam",{"_index":1569,"t":{},"b":{"6":{}}}],["prior",{"_index":2949,"t":{},"b":{"20":{}}}],["proanthcyanin",{"_index":1701,"t":{},"b":{"7":{}}}],["probabilist",{"_index":913,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"15":{},"20":{}}}],["probabilisticsgdclassifi",{"_index":1934,"t":{},"b":{"8":{}}}],["probabl",{"_index":1534,"t":{},"b":{"6":{},"7":{},"16":{}}}],["problem",{"_index":876,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"20":{}}}],["procedur",{"_index":1420,"t":{},"b":{"5":{}}}],["process",{"_index":543,"t":{"2":{}},"b":{"2":{},"6":{},"7":{},"10":{},"16":{}}}],["process_typ",{"_index":1199,"t":{},"b":{"5":{}}}],["processingget",{"_index":1439,"t":{},"b":{"6":{},"7":{}}}],["produc",{"_index":2486,"t":{},"b":{"16":{}}}],["product",{"_index":2801,"t":{},"b":{"19":{}}}],["program",{"_index":2464,"t":{},"b":{"16":{}}}],["project",{"_index":1820,"t":{},"b":{"7":{}}}],["project.toml",{"_index":2458,"t":{},"b":{"16":{}}}],["prolin",{"_index":1707,"t":{},"b":{"7":{}}}],["proline=>continu",{"_index":1733,"t":{},"b":{"7":{}}}],["proline]5",{"_index":1723,"t":{},"b":{"7":{}}}],["prone",{"_index":3002,"t":{},"b":{"20":{}}}],["properli",{"_index":118,"t":{},"b":{"0":{}}}],["proport",{"_index":2950,"t":{},"b":{"20":{}}}],["provid",{"_index":559,"t":{},"b":{"2":{},"3":{},"16":{},"19":{}}}],["ptratio",{"_index":189,"t":{},"b":{"1":{},"3":{},"19":{}}}],["puls",{"_index":1461,"t":{},"b":{"6":{}}}],["purchas",{"_index":2976,"t":{},"b":{"20":{}}}],["putout",{"_index":3174,"t":{},"b":{"22":{}}}],["pyplot",{"_index":1143,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["pyplot.jl",{"_index":2715,"t":{},"b":{"18":{}}}],["q25",{"_index":367,"t":{},"b":{"1":{}}}],["q75",{"_index":368,"t":{},"b":{"1":{}}}],["qda",{"_index":2481,"t":{"20":{}},"b":{"16":{},"20":{}}}],["qualiti",{"_index":930,"t":{},"b":{"4":{}}}],["quantiti",{"_index":1683,"t":{},"b":{"7":{}}}],["quartil",{"_index":2113,"t":{},"b":{"11":{}}}],["quick",{"_index":1735,"t":{},"b":{"7":{},"16":{}}}],["quit",{"_index":1545,"t":{},"b":{"6":{},"7":{},"20":{},"21":{},"22":{}}}],["r",{"_index":566,"t":{},"b":{"2":{},"5":{},"10":{},"11":{},"15":{},"16":{},"17":{},"21":{},"22":{}}}],["r.best_result(measur",{"_index":2427,"t":{},"b":{"15":{}}}],["r.measur",{"_index":2085,"t":{},"b":{"10":{}}}],["r.plot",{"_index":1387,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["r.tvar)4",{"_index":2527,"t":{},"b":{"17":{}}}],["r.tvar)6",{"_index":2562,"t":{},"b":{"17":{}}}],["r1",{"_index":1368,"t":{},"b":{"5":{},"15":{}}}],["r2",{"_index":1370,"t":{},"b":{"5":{},"15":{}}}],["r3",{"_index":2836,"t":{},"b":{"20":{}}}],["r3(pi)3.14",{"_index":2838,"t":{},"b":{"20":{}}}],["r30.059",{"_index":3009,"t":{},"b":{"20":{}}}],["r30.479",{"_index":2911,"t":{},"b":{"20":{}}}],["r30.484",{"_index":2935,"t":{},"b":{"20":{}}}],["r30.5",{"_index":2968,"t":{},"b":{"20":{}}}],["r30.532",{"_index":2970,"t":{},"b":{"20":{}}}],["r30.548",{"_index":2955,"t":{},"b":{"20":{}}}],["r30.56",{"_index":2937,"t":{},"b":{"20":{}}}],["r30.599",{"_index":2963,"t":{},"b":{"20":{}}}],["r30.691",{"_index":2909,"t":{},"b":{"20":{}}}],["r30.925",{"_index":3007,"t":{},"b":{"20":{}}}],["r30.934",{"_index":3010,"t":{},"b":{"20":{}}}],["r31.0",{"_index":3001,"t":{},"b":{"20":{}}}],["r3false_positive(cm",{"_index":2926,"t":{},"b":{"20":{}}}],["r_bf",{"_index":2164,"t":{},"b":{"11":{}}}],["r_depth",{"_index":3368,"t":{},"b":{"23":{}}}],["r_mpi",{"_index":3346,"t":{},"b":{"23":{}}}],["r_msl",{"_index":3349,"t":{},"b":{"23":{}}}],["r_sf",{"_index":2161,"t":{},"b":{"11":{}}}],["rad",{"_index":187,"t":{},"b":{"1":{},"3":{},"19":{}}}],["rand(300",{"_index":2006,"t":{},"b":{"10":{},"13":{},"14":{}}}],["randn(100",{"_index":2442,"t":{},"b":{"15":{}}}],["randn(1_000",{"_index":2627,"t":{},"b":{"18":{}}}],["randn(20",{"_index":3397,"t":{},"b":{"24":{}}}],["random",{"_index":1142,"t":{},"b":{"5":{},"10":{},"11":{},"13":{},"14":{},"17":{},"23":{}}}],["random._global_rng",{"_index":1102,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["random.seed!(1515",{"_index":2548,"t":{},"b":{"17":{}}}],["random.seed!(3203",{"_index":3396,"t":{},"b":{"24":{}}}],["random.seed!(5",{"_index":2145,"t":{},"b":{"11":{},"13":{},"14":{}}}],["randomfals",{"_index":3394,"t":{},"b":{"24":{}}}],["randomforest",{"_index":3374,"t":{},"b":{"23":{}}}],["randomforestclassifi",{"_index":1935,"t":{},"b":{"8":{}}}],["randomforestregressor",{"_index":3375,"t":{},"b":{"23":{}}}],["rang",{"_index":255,"t":{},"b":{"1":{},"4":{},"10":{},"11":{},"15":{},"18":{},"21":{},"22":{}}}],["range(dtc",{"_index":2401,"t":{},"b":{"15":{}}}],["range(dtr_model",{"_index":3369,"t":{},"b":{"23":{}}}],["range(ensemble_model",{"_index":2061,"t":{},"b":{"10":{}}}],["range(forest",{"_index":2147,"t":{},"b":{"11":{},"15":{}}}],["range(krb",{"_index":1061,"t":{},"b":{"4":{}}}],["range(lrm",{"_index":3112,"t":{},"b":{"21":{}}}],["range(mdl",{"_index":3347,"t":{},"b":{"23":{}}}],["range(minimum(i",{"_index":3195,"t":{},"b":{"22":{}}}],["range(model",{"_index":1643,"t":{},"b":{"6":{},"22":{}}}],["range(svc_mdl",{"_index":3421,"t":{},"b":{"24":{}}}],["range(xgb",{"_index":1241,"t":{},"b":{"5":{}}}],["range=r",{"_index":1246,"t":{},"b":{"5":{},"11":{}}}],["ranges=[b_rang",{"_index":2074,"t":{},"b":{"10":{}}}],["ranges=[r",{"_index":2408,"t":{},"b":{"15":{}}}],["ranges=[r1",{"_index":2448,"t":{},"b":{"15":{}}}],["ranges=[r1,r2",{"_index":1376,"t":{},"b":{"5":{}}}],["ranges=[r_depth",{"_index":3371,"t":{},"b":{"23":{}}}],["ranges=[r_mpi",{"_index":3353,"t":{},"b":{"23":{}}}],["ranges=[r_sf",{"_index":2175,"t":{},"b":{"11":{}}}],["ranges=[rc",{"_index":3424,"t":{},"b":{"24":{}}}],["ranges=lambda",{"_index":1646,"t":{},"b":{"6":{}}}],["ranges=r",{"_index":2423,"t":{},"b":{"15":{},"21":{},"22":{}}}],["ranges=rang",{"_index":1092,"t":{},"b":{"4":{}}}],["rape",{"_index":2504,"t":{},"b":{"17":{}}}],["rate",{"_index":1536,"t":{},"b":{"6":{},"7":{},"15":{},"20":{}}}],["rate_drop",{"_index":1210,"t":{},"b":{"5":{}}}],["ratio_miss",{"_index":1566,"t":{},"b":{"6":{}}}],["raw",{"_index":45,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rbi",{"_index":3164,"t":{},"b":{"22":{}}}],["rc",{"_index":3420,"t":{},"b":{"24":{}}}],["rdataset",{"_index":165,"t":{},"b":{"1":{},"2":{},"3":{},"8":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rdatasets.jl",{"_index":554,"t":{},"b":{"2":{}}}],["rdatasetsus",{"_index":544,"t":{},"b":{"2":{}}}],["re",{"_index":114,"t":{},"b":{"0":{},"3":{},"5":{},"6":{},"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"19":{},"20":{},"21":{},"22":{}}}],["reach",{"_index":1663,"t":{},"b":{"6":{}}}],["read",{"_index":579,"t":{},"b":{"2":{},"6":{}}}],["real",{"_index":293,"t":{},"b":{"1":{},"15":{}}}],["realli",{"_index":1029,"t":{},"b":{"4":{},"23":{}}}],["reason",{"_index":1447,"t":{},"b":{"6":{},"22":{}}}],["recal",{"_index":2928,"t":{},"b":{"20":{}}}],["recall(i",{"_index":2924,"t":{},"b":{"20":{}}}],["recod",{"_index":3361,"t":{},"b":{"23":{}}}],["recommend",{"_index":2471,"t":{},"b":{"16":{},"20":{}}}],["recov",{"_index":919,"t":{},"b":{"4":{},"15":{},"17":{},"20":{}}}],["rectal_temperatur",{"_index":1460,"t":{},"b":{"6":{}}}],["red",{"_index":2588,"t":{},"b":{"17":{}}}],["reduc",{"_index":812,"t":{},"b":{"4":{}}}],["refer",{"_index":698,"t":{},"b":{"3":{},"13":{},"16":{}}}],["reflect",{"_index":1059,"t":{},"b":{"4":{}}}],["refresh_leaf",{"_index":1198,"t":{},"b":{"5":{}}}],["reg",{"_index":3206,"t":{},"b":{"22":{}}}],["reg.gamma",{"_index":3285,"t":{},"b":{"22":{}}}],["reg.lambda",{"_index":3233,"t":{},"b":{"22":{}}}],["reg_param",{"_index":2958,"t":{},"b":{"20":{}}}],["region",{"_index":1679,"t":{},"b":{"7":{}}}],["regpip",{"_index":3207,"t":{},"b":{"22":{}}}],["regpipe(std",{"_index":3205,"t":{},"b":{"22":{}}}],["regress",{"_index":875,"t":{"19":{},"20":{},"22":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["regressioninteract",{"_index":2724,"t":{},"b":{"19":{}}}],["regressionk",{"_index":3027,"t":{},"b":{"21":{}}}],["regressionldaqdaknncaravan",{"_index":2817,"t":{},"b":{"20":{}}}],["regressor",{"_index":940,"t":{},"b":{"4":{},"9":{},"11":{},"13":{},"15":{},"21":{},"22":{},"23":{}}}],["regressorrandom",{"_index":3297,"t":{},"b":{"23":{}}}],["regularis",{"_index":1653,"t":{},"b":{"6":{},"13":{},"20":{}}}],["reinterpret",{"_index":771,"t":{},"b":{"3":{}}}],["rel",{"_index":1511,"t":{},"b":{"6":{}}}],["relat",{"_index":728,"t":{},"b":{"3":{},"16":{}}}],["relev",{"_index":2004,"t":{},"b":{"10":{},"13":{},"16":{},"18":{},"19":{}}}],["remain",{"_index":1080,"t":{},"b":{"4":{},"7":{}}}],["rememb",{"_index":404,"t":{},"b":{"1":{},"4":{},"12":{},"13":{}}}],["remov",{"_index":1559,"t":{},"b":{"6":{},"16":{}}}],["rename!(x2",{"_index":2802,"t":{},"b":{"19":{}}}],["reorder",{"_index":958,"t":{},"b":{"4":{},"10":{}}}],["rep",{"_index":3127,"t":{},"b":{"21":{}}}],["rep.plot",{"_index":3128,"t":{},"b":{"21":{}}}],["repeat",{"_index":1113,"t":{},"b":{"4":{},"15":{},"21":{}}}],["report",{"_index":1383,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{}}}],["report(m",{"_index":2180,"t":{},"b":{"11":{},"15":{}}}],["report(mtm",{"_index":1386,"t":{},"b":{"5":{},"21":{}}}],["report(pca",{"_index":2525,"t":{},"b":{"17":{}}}],["report(spca).reports[1",{"_index":2560,"t":{},"b":{"17":{}}}],["report(spca2).reports[1].assign",{"_index":2582,"t":{},"b":{"17":{}}}],["report(tuned_ensembl",{"_index":2084,"t":{},"b":{"10":{}}}],["repres",{"_index":76,"t":{},"b":{"0":{},"6":{}}}],["reproduc",{"_index":2077,"t":{},"b":{"10":{},"11":{},"13":{},"14":{},"16":{},"20":{},"21":{}}}],["req",{"_index":1687,"t":{},"b":{"7":{}}}],["req1",{"_index":1451,"t":{},"b":{"6":{}}}],["req2",{"_index":1456,"t":{},"b":{"6":{}}}],["requir",{"_index":388,"t":{},"b":{"1":{}}}],["res.measur",{"_index":1393,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["res.parameter_valu",{"_index":2087,"t":{},"b":{"10":{},"11":{},"15":{}}}],["res.parameter_values[:,1",{"_index":1389,"t":{},"b":{"5":{}}}],["res.parameter_values[:,2",{"_index":1391,"t":{},"b":{"5":{}}}],["resampl",{"_index":1086,"t":{},"b":{"4":{},"15":{},"21":{}}}],["resampling=cv",{"_index":1405,"t":{},"b":{"5":{},"10":{}}}],["resampling=cv(nfolds=10",{"_index":3116,"t":{},"b":{"21":{}}}],["resampling=cv(nfolds=3",{"_index":1245,"t":{},"b":{"5":{},"22":{},"24":{}}}],["resampling=cv(nfolds=5",{"_index":3354,"t":{},"b":{"23":{}}}],["resampling=cv(nfolds=6",{"_index":2173,"t":{},"b":{"11":{},"15":{}}}],["resampling=cv(rng=11",{"_index":1375,"t":{},"b":{"5":{}}}],["resampling=cv(rng=234",{"_index":1418,"t":{},"b":{"5":{}}}],["resampling=holdout",{"_index":1993,"t":{},"b":{"9":{}}}],["resampling=holdout(fraction_train=0.7",{"_index":2022,"t":{},"b":{"10":{}}}],["resampling=holdout(fraction_train=0.8",{"_index":2072,"t":{},"b":{"10":{},"11":{},"14":{}}}],["resampling=holdout(fraction_train=0.9",{"_index":1622,"t":{},"b":{"6":{},"7":{}}}],["resampling=resampl",{"_index":1091,"t":{},"b":{"4":{}}}],["reshape([1",{"_index":2609,"t":{},"b":{"18":{}}}],["reshape([1,2,3,4",{"_index":2613,"t":{},"b":{"18":{}}}],["residu",{"_index":2789,"t":{},"b":{"19":{},"22":{}}}],["resolut",{"_index":1099,"t":{},"b":{"4":{},"11":{},"15":{},"21":{}}}],["resolution=30",{"_index":1406,"t":{},"b":{"5":{}}}],["resolution=50",{"_index":1247,"t":{},"b":{"5":{}}}],["respect",{"_index":369,"t":{},"b":{"1":{},"4":{},"8":{},"21":{}}}],["respiratori",{"_index":1535,"t":{},"b":{"6":{}}}],["respiratory_r",{"_index":1462,"t":{},"b":{"6":{}}}],["rest",{"_index":1532,"t":{},"b":{"6":{},"15":{},"20":{}}}],["result",{"_index":517,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"12":{},"13":{},"18":{},"19":{},"21":{},"25":{}}}],["resultspreliminari",{"_index":2003,"t":{},"b":{"10":{}}}],["retrain",{"_index":2334,"t":{},"b":{"13":{},"20":{}}}],["retriev",{"_index":79,"t":{},"b":{"0":{},"4":{},"5":{},"18":{},"19":{},"20":{}}}],["return",{"_index":85,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"14":{}}}],["rf",{"_index":3378,"t":{},"b":{"23":{}}}],["rf_mdl",{"_index":3377,"t":{},"b":{"23":{}}}],["ridg",{"_index":804,"t":{"22":{}},"b":{"4":{},"13":{},"14":{},"16":{},"22":{}}}],["ridge=ridge_model",{"_index":2370,"t":{},"b":{"14":{}}}],["ridge_model",{"_index":1020,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ridge_model.lambda",{"_index":1067,"t":{},"b":{"4":{},"13":{}}}],["ridge_model::ridgeregressor",{"_index":1014,"t":{},"b":{"4":{},"14":{}}}],["ridgeclassifi",{"_index":2373,"t":{},"b":{"14":{}}}],["ridgecross",{"_index":3149,"t":{},"b":{"22":{}}}],["ridgeregressor",{"_index":949,"t":{},"b":{"4":{},"13":{},"14":{},"22":{}}}],["ridgeregressor(lambda=0.1",{"_index":2324,"t":{},"b":{"13":{},"14":{}}}],["ridgeregressor(lambda=2.5",{"_index":1002,"t":{},"b":{"4":{}}}],["right",{"_index":48,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rm",{"_index":184,"t":{},"b":{"1":{},"3":{},"9":{},"10":{},"11":{},"13":{},"15":{},"19":{},"21":{}}}],["rms(i",{"_index":2019,"t":{},"b":{"10":{},"11":{}}}],["rms(predict(lr",{"_index":3079,"t":{},"b":{"21":{}}}],["rms(predict(mlm",{"_index":3043,"t":{},"b":{"21":{}}}],["rms(y[test",{"_index":2332,"t":{},"b":{"13":{}}}],["rmsl",{"_index":1107,"t":{},"b":{"4":{}}}],["rmsl(i",{"_index":933,"t":{},"b":{"4":{}}}],["rmsl(y[test",{"_index":997,"t":{},"b":{"4":{}}}],["rmslp1",{"_index":2134,"t":{},"b":{"11":{}}}],["rng",{"_index":1101,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["rng=111",{"_index":1791,"t":{},"b":{"7":{}}}],["rng=112",{"_index":3355,"t":{},"b":{"23":{}}}],["rng=1254",{"_index":3372,"t":{},"b":{"23":{}}}],["rng=32",{"_index":2174,"t":{},"b":{"11":{}}}],["rng=33",{"_index":3425,"t":{},"b":{"24":{}}}],["rng=333",{"_index":3344,"t":{},"b":{"23":{}}}],["rng=4141",{"_index":3237,"t":{},"b":{"22":{}}}],["rng=42",{"_index":2073,"t":{},"b":{"10":{}}}],["rng=424",{"_index":3184,"t":{},"b":{"22":{}}}],["rng=444",{"_index":3031,"t":{},"b":{"21":{}}}],["rng=52",{"_index":1175,"t":{},"b":{"5":{}}}],["rng=551",{"_index":3360,"t":{},"b":{"23":{}}}],["roc",{"_index":3011,"t":{},"b":{"20":{}}}],["roc(i",{"_index":3021,"t":{},"b":{"20":{}}}],["root",{"_index":2785,"t":{},"b":{"19":{},"21":{}}}],["rotation=45",{"_index":3281,"t":{},"b":{"22":{}}}],["rough",{"_index":1547,"t":{},"b":{"6":{},"11":{},"18":{}}}],["round",{"_index":1238,"t":{},"b":{"5":{},"11":{}}}],["round(accuracy(i",{"_index":1436,"t":{},"b":{"5":{}}}],["round(best_mdl.reg.gamma",{"_index":3290,"t":{},"b":{"22":{}}}],["round(best_mdl.reg.lambda",{"_index":3239,"t":{},"b":{"22":{}}}],["round(fp.coefs[i",{"_index":2773,"t":{},"b":{"19":{}}}],["round(fp.intercept",{"_index":2753,"t":{},"b":{"19":{}}}],["round(maximum(curve.measur",{"_index":1411,"t":{},"b":{"5":{}}}],["round(mc",{"_index":2239,"t":{},"b":{"12":{}}}],["round(mcr",{"_index":1635,"t":{},"b":{"6":{}}}],["round(mcr_k",{"_index":1813,"t":{},"b":{"7":{}}}],["round(mcr_m",{"_index":1814,"t":{},"b":{"7":{}}}],["round(minimum(curve.measur",{"_index":1409,"t":{},"b":{"5":{}}}],["round(perf_k",{"_index":1869,"t":{},"b":{"7":{}}}],["round(perf_m",{"_index":1870,"t":{},"b":{"7":{}}}],["round(ratio_miss",{"_index":1570,"t":{},"b":{"6":{}}}],["round(res.measurement[1",{"_index":1623,"t":{},"b":{"6":{},"7":{},"14":{}}}],["round(rms(i",{"_index":2787,"t":{},"b":{"19":{},"22":{}}}],["round(rms(ypr",{"_index":3366,"t":{},"b":{"23":{}}}],["round(x",{"_index":2837,"t":{},"b":{"20":{}}}],["round.(cm",{"_index":2864,"t":{},"b":{"20":{}}}],["round.(coef",{"_index":3251,"t":{},"b":{"22":{}}}],["round.(fp.coef",{"_index":2752,"t":{},"b":{"19":{}}}],["round.(fp.coefs[1:3",{"_index":2765,"t":{},"b":{"19":{}}}],["round.(res.measurements.^2",{"_index":3129,"t":{},"b":{"21":{}}}],["round.(w",{"_index":2250,"t":{},"b":{"12":{}}}],["row",{"_index":196,"t":{},"b":{"1":{},"2":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["rows/column",{"_index":256,"t":{},"b":{"1":{}}}],["rows=test",{"_index":906,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train",{"_index":904,"t":{},"b":{"4":{},"10":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train)machine{decisiontreeclassifi",{"_index":2215,"t":{},"b":{"12":{}}}],["rows=train)machine{linmod",{"_index":3076,"t":{},"b":{"21":{}}}],["rows=train)machine{probabilistictunedmodel",{"_index":1378,"t":{},"b":{"5":{}}}],["rule",{"_index":781,"t":{},"b":{"3":{},"6":{}}}],["rules=(:discrete_to_continu",{"_index":1543,"t":{},"b":{"6":{},"22":{},"23":{}}}],["run",{"_index":471,"t":{},"b":{"1":{},"22":{}}}],["rw",{"_index":1150,"t":{},"b":{"5":{}}}],["s1",{"_index":773,"t":{},"b":{"3":{}}}],["s2",{"_index":774,"t":{},"b":{"3":{}}}],["sake",{"_index":1628,"t":{},"b":{"6":{}}}],["salari",{"_index":3176,"t":{},"b":{"22":{}}}],["sale",{"_index":3303,"t":{},"b":{"23":{}}}],["salepricech",{"_index":2544,"t":{},"b":{"17":{}}}],["salepricemm",{"_index":2543,"t":{},"b":{"17":{}}}],["same",{"_index":917,"t":{},"b":{"4":{},"5":{},"7":{},"8":{},"10":{},"15":{},"18":{},"20":{},"22":{},"23":{}}}],["sampl",{"_index":1426,"t":{},"b":{"5":{},"11":{},"15":{}}}],["sample_typ",{"_index":1207,"t":{},"b":{"5":{}}}],["satellit",{"_index":2671,"t":{},"b":{"18":{}}}],["save",{"_index":51,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["scale",{"_index":2065,"t":{},"b":{"10":{},"15":{}}}],["scale=:log10",{"_index":1065,"t":{},"b":{"4":{},"6":{},"22":{}}}],["scale_pos_weight",{"_index":1196,"t":{},"b":{"5":{}}}],["sch",{"_index":738,"t":{},"b":{"3":{},"6":{},"7":{},"11":{}}}],["sch.nrow",{"_index":2106,"t":{},"b":{"11":{}}}],["sch.scityp",{"_index":1517,"t":{},"b":{"6":{},"7":{}}}],["schema",{"_index":736,"t":{},"b":{"3":{}}}],["schema(boston)_.t",{"_index":739,"t":{},"b":{"3":{}}}],["schema(boston3)_.t",{"_index":794,"t":{},"b":{"3":{}}}],["schema(data)_.t",{"_index":775,"t":{},"b":{"3":{}}}],["schema(data2)_.t",{"_index":778,"t":{},"b":{"3":{}}}],["schema(datac",{"_index":1515,"t":{},"b":{"6":{}}}],["schema(w).names(:x1",{"_index":2523,"t":{},"b":{"17":{}}}],["schema(x",{"_index":1718,"t":{},"b":{"7":{},"11":{}}}],["scienc",{"_index":2488,"t":{},"b":{"16":{}}}],["scientif",{"_index":11,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["scientifictyp",{"_index":1509,"t":{},"b":{"6":{}}}],["scientifictypes.jl",{"_index":716,"t":{},"b":{"3":{},"6":{}}}],["scikitlearn",{"_index":1909,"t":{},"b":{"8":{},"19":{},"20":{}}}],["scikitlearn.jl",{"_index":1956,"t":{},"b":{"8":{}}}],["scityp",{"_index":700,"t":{},"b":{"3":{},"6":{},"7":{}}}],["scitype(",{"_index":753,"t":{},"b":{"3":{}}}],["scitype(x)table{union{abstractarray{continuous,1",{"_index":1716,"t":{},"b":{"7":{},"23":{}}}],["scitype(x.age)abstractarray{count,1",{"_index":1975,"t":{},"b":{"9":{}}}],["scitype(xc)table{union{abstractarray{continuous,1",{"_index":3202,"t":{},"b":{"22":{}}}],["scitype(y)abstractarray{count,1",{"_index":1712,"t":{},"b":{"7":{}}}],["scitype(y)y[1:3",{"_index":870,"t":{},"b":{"4":{}}}],["scitypechang",{"_index":684,"t":{},"b":{"3":{}}}],["scitypestr",{"_index":685,"t":{},"b":{"3":{}}}],["score",{"_index":1863,"t":{},"b":{"7":{},"12":{},"20":{}}}],["scratch",{"_index":2379,"t":{},"b":{"14":{}}}],["scratchpreliminari",{"_index":2351,"t":{},"b":{"14":{}}}],["script",{"_index":46,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["search",{"_index":1897,"t":{"25":{}},"b":{"8":{},"11":{},"15":{},"25":{}}}],["searchload",{"_index":1879,"t":{},"b":{"8":{}}}],["second",{"_index":977,"t":{},"b":{"4":{},"8":{},"12":{},"13":{},"14":{},"17":{},"20":{},"21":{}}}],["section",{"_index":2739,"t":{},"b":{"19":{}}}],["see",{"_index":96,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["seed",{"_index":1221,"t":{},"b":{"5":{},"10":{},"21":{}}}],["seem",{"_index":1773,"t":{},"b":{"7":{},"11":{},"16":{},"17":{},"20":{},"22":{}}}],["seen",{"_index":2292,"t":{},"b":{"13":{}}}],["select",{"_index":261,"t":{},"b":{"1":{},"10":{},"21":{},"22":{}}}],["select!(b1",{"_index":278,"t":{},"b":{"1":{}}}],["select!(data",{"_index":1500,"t":{},"b":{"6":{}}}],["select!(datac",{"_index":1539,"t":{},"b":{"6":{}}}],["select(boston",{"_index":266,"t":{},"b":{"1":{},"3":{}}}],["select(carseat",{"_index":3333,"t":{},"b":{"23":{}}}],["select(data",{"_index":2516,"t":{},"b":{"17":{},"19":{}}}],["select(smarket",{"_index":2859,"t":{},"b":{"20":{}}}],["select(x",{"_index":2746,"t":{},"b":{"19":{},"20":{},"21":{}}}],["select(x2",{"_index":2936,"t":{},"b":{"20":{}}}],["selectrows(xc",{"_index":1792,"t":{},"b":{"7":{}}}],["selectrows(yc",{"_index":1794,"t":{},"b":{"7":{}}}],["self",{"_index":365,"t":{},"b":{"1":{}}}],["sens",{"_index":1008,"t":{},"b":{"4":{},"5":{}}}],["sensibl",{"_index":1600,"t":{},"b":{"6":{},"7":{}}}],["sepallength",{"_index":452,"t":{},"b":{"1":{},"8":{}}}],["sepallength_std",{"_index":529,"t":{},"b":{"1":{}}}],["sepalwidth",{"_index":453,"t":{},"b":{"1":{},"8":{}}}],["sepalwidth_std",{"_index":530,"t":{},"b":{"1":{}}}],["separ",{"_index":642,"t":{},"b":{"2":{},"6":{},"7":{}}}],["sequenc",{"_index":2367,"t":{},"b":{"14":{},"16":{}}}],["seri",{"_index":3105,"t":{},"b":{"21":{}}}],["serv",{"_index":2200,"t":{},"b":{"12":{},"19":{}}}],["set",{"_index":576,"t":{},"b":{"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"17":{},"19":{},"21":{}}}],["setdiff!(test",{"_index":1563,"t":{},"b":{"6":{}}}],["setdiff!(train",{"_index":1561,"t":{},"b":{"6":{}}}],["setosa",{"_index":461,"t":{},"b":{"1":{},"8":{},"12":{}}}],["sever",{"_index":479,"t":{},"b":{"1":{},"8":{},"11":{},"19":{}}}],["shelveloc",{"_index":3308,"t":{},"b":{"23":{}}}],["short",{"_index":549,"t":{},"b":{"2":{},"5":{},"11":{},"16":{}}}],["shorten",{"_index":1775,"t":{},"b":{"7":{}}}],["shorter",{"_index":446,"t":{},"b":{"1":{},"13":{}}}],["shorthand",{"_index":1893,"t":{},"b":{"8":{}}}],["shot",{"_index":762,"t":{},"b":{"3":{}}}],["show",{"_index":826,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"11":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["showcas",{"_index":1591,"t":{},"b":{"6":{}}}],["shuffl",{"_index":1100,"t":{},"b":{"4":{},"15":{},"21":{}}}],["shuffle=tru",{"_index":901,"t":{},"b":{"4":{},"5":{},"7":{},"12":{},"21":{},"22":{},"23":{}}}],["sigdigit",{"_index":1413,"t":{},"b":{"5":{},"19":{},"22":{}}}],["sigdigits=1)8×8",{"_index":2865,"t":{},"b":{"20":{}}}],["sigdigits=2)22",{"_index":3252,"t":{},"b":{"22":{}}}],["sigdigits=3",{"_index":1410,"t":{},"b":{"5":{},"6":{},"7":{},"19":{},"20":{}}}],["sigdigits=3))knn",{"_index":1815,"t":{},"b":{"7":{}}}],["sigdigits=3))mnc",{"_index":1636,"t":{},"b":{"6":{}}}],["sigdigits=3)0.0141",{"_index":1806,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0159",{"_index":1804,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0179",{"_index":2378,"t":{},"b":{"14":{}}}],["sigdigits=3)0.704",{"_index":1624,"t":{},"b":{"6":{}}}],["sigdigits=3)3.74",{"_index":3382,"t":{},"b":{"23":{}}}],["sigdigits=3)3.96",{"_index":3391,"t":{},"b":{"23":{}}}],["sigdigits=3)4.98",{"_index":3367,"t":{},"b":{"23":{}}}],["sigdigits=3)5.09",{"_index":3373,"t":{},"b":{"23":{}}}],["sigdigits=3)round(minimum(curve.measur",{"_index":1412,"t":{},"b":{"5":{}}}],["sigdigits=3)round.(fp.coef",{"_index":2754,"t":{},"b":{"19":{}}}],["sigdigits=3)round.(fp.coefs[1:3",{"_index":2766,"t":{},"b":{"19":{}}}],["sigdigits=4",{"_index":3289,"t":{},"b":{"22":{}}}],["sigdigits=4)10.0",{"_index":3240,"t":{},"b":{"22":{}}}],["sigdigits=4)102500.0",{"_index":3293,"t":{},"b":{"22":{}}}],["sigdigits=4)109600.0",{"_index":3231,"t":{},"b":{"22":{}}}],["sigdigits=4)123500.0",{"_index":3211,"t":{},"b":{"22":{}}}],["sigdigits=4)4.676",{"_index":2804,"t":{},"b":{"19":{}}}],["sigdigits=4)4.679",{"_index":2788,"t":{},"b":{"19":{}}}],["sigdigits=4)5.507",{"_index":2810,"t":{},"b":{"19":{}}}],["sigdigits=4)858.6",{"_index":3246,"t":{},"b":{"22":{}}}],["sigdigits=4)93850.0",{"_index":3241,"t":{},"b":{"22":{}}}],["sigdigits=4)95450.0",{"_index":3247,"t":{},"b":{"22":{}}}],["sigdigits=4)round(best_mdl.reg.lambda",{"_index":3291,"t":{},"b":{"22":{}}}],["signific",{"_index":2834,"t":{},"b":{"20":{}}}],["significantli",{"_index":1673,"t":{},"b":{"6":{}}}],["similar",{"_index":2763,"t":{},"b":{"19":{},"20":{}}}],["similarli",{"_index":259,"t":{},"b":{"1":{}}}],["simpl",{"_index":164,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["simplepip",{"_index":1642,"t":{},"b":{"6":{}}}],["simplepipe(hot",{"_index":1617,"t":{},"b":{"6":{}}}],["simpler",{"_index":2354,"t":{},"b":{"14":{}}}],["simpli",{"_index":2301,"t":{},"b":{"13":{}}}],["simplifi",{"_index":1495,"t":{},"b":{"6":{}}}],["simultan",{"_index":2051,"t":{},"b":{"10":{},"11":{}}}],["singl",{"_index":2128,"t":{},"b":{"11":{},"15":{},"19":{}}}],["six",{"_index":816,"t":{},"b":{"4":{}}}],["size",{"_index":2639,"t":{},"b":{"18":{}}}],["size(auto",{"_index":2701,"t":{},"b":{"18":{}}}],["size(caravan)(5822",{"_index":2974,"t":{},"b":{"20":{}}}],["size(data_test",{"_index":1494,"t":{},"b":{"6":{}}}],["size(data_test)size(data_train",{"_index":1491,"t":{},"b":{"6":{}}}],["size(data_train",{"_index":1490,"t":{},"b":{"6":{}}}],["size(hitt",{"_index":3157,"t":{},"b":{"22":{}}}],["size(smarket",{"_index":2823,"t":{},"b":{"20":{}}}],["size(x",{"_index":827,"t":{},"b":{"4":{},"5":{}}}],["size(x)(3",{"_index":2642,"t":{},"b":{"18":{}}}],["sketch_ep",{"_index":1194,"t":{},"b":{"5":{}}}],["skew",{"_index":3188,"t":{},"b":{"22":{}}}],["skip",{"_index":634,"t":{},"b":{"2":{}}}],["skip_drop",{"_index":1212,"t":{},"b":{"5":{}}}],["skipmiss",{"_index":440,"t":{},"b":{"1":{}}}],["skipto",{"_index":633,"t":{},"b":{"2":{}}}],["skylark",{"_index":2664,"t":{},"b":{"18":{}}}],["slightli",{"_index":2805,"t":{},"b":{"19":{}}}],["slow",{"_index":573,"t":{},"b":{"2":{}}}],["sm1_dz",{"_index":648,"t":{},"b":{"2":{}}}],["small",{"_index":1433,"t":{},"b":{"5":{}}}],["smarket",{"_index":2822,"t":{},"b":{"20":{}}}],["smarket.direct",{"_index":2858,"t":{},"b":{"20":{}}}],["solver",{"_index":1609,"t":{},"b":{"6":{},"7":{},"19":{},"21":{}}}],["someth",{"_index":938,"t":{},"b":{"4":{},"5":{},"6":{}}}],["sometim",{"_index":2615,"t":{},"b":{"18":{}}}],["sophist",{"_index":1173,"t":{},"b":{"5":{},"6":{}}}],["sourc",{"_index":962,"t":{},"b":{"4":{},"13":{}}}],["source(i",{"_index":967,"t":{},"b":{"4":{},"13":{},"14":{}}}],["source(x",{"_index":965,"t":{},"b":{"4":{},"13":{},"14":{}}}],["space",{"_index":1823,"t":{},"b":{"7":{},"20":{}}}],["spars",{"_index":3248,"t":{},"b":{"22":{}}}],["sparsiti",{"_index":3265,"t":{},"b":{"22":{}}}],["spca",{"_index":2552,"t":{},"b":{"17":{}}}],["spca(std",{"_index":2549,"t":{},"b":{"17":{}}}],["spca2",{"_index":2578,"t":{},"b":{"17":{}}}],["spca2(std",{"_index":2574,"t":{},"b":{"17":{}}}],["spca2_mdl",{"_index":2577,"t":{},"b":{"17":{}}}],["spca_mdl",{"_index":2551,"t":{},"b":{"17":{}}}],["speci",{"_index":456,"t":{},"b":{"1":{},"8":{}}}],["specif",{"_index":472,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"13":{},"16":{}}}],["specifi",{"_index":89,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"8":{},"9":{},"10":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["speciy",{"_index":2310,"t":{},"b":{"13":{}}}],["spectacular",{"_index":2806,"t":{},"b":{"19":{}}}],["speed",{"_index":709,"t":{},"b":{"3":{}}}],["spl",{"_index":519,"t":{},"b":{"1":{}}}],["split",{"_index":444,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"11":{},"12":{},"13":{},"18":{},"20":{}}}],["sqrt(x",{"_index":2620,"t":{},"b":{"18":{}}}],["sqrt(x)x",{"_index":2619,"t":{},"b":{"18":{}}}],["sqrt.([4",{"_index":2622,"t":{},"b":{"18":{}}}],["squar",{"_index":2786,"t":{},"b":{"19":{},"21":{}}}],["ss",{"_index":1422,"t":{},"b":{"5":{}}}],["stand",{"_index":2244,"t":{},"b":{"12":{},"13":{},"14":{}}}],["stand_model",{"_index":2243,"t":{},"b":{"12":{}}}],["standard",{"_index":552,"t":{},"b":{"2":{},"4":{},"7":{},"9":{},"12":{},"13":{},"14":{},"16":{},"17":{},"18":{},"20":{},"22":{}}}],["standardis",{"_index":1768,"t":{},"b":{"7":{}}}],["start",{"_index":14,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["startedbas",{"_index":3392,"t":{},"b":{"24":{}}}],["starteddata",{"_index":3146,"t":{},"b":{"22":{}}}],["starteddecis",{"_index":3294,"t":{},"b":{"23":{}}}],["startedpca",{"_index":2494,"t":{},"b":{"17":{}}}],["startedpolynomi",{"_index":3026,"t":{},"b":{"21":{}}}],["stat",{"_index":27,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["state",{"_index":2500,"t":{},"b":{"17":{}}}],["statist",{"_index":361,"t":{},"b":{"1":{},"4":{},"10":{},"12":{},"16":{},"18":{},"20":{}}}],["statsbas",{"_index":282,"t":{},"b":{"1":{},"5":{},"6":{},"7":{},"18":{},"20":{}}}],["statsbase.countmap",{"_index":1224,"t":{},"b":{"5":{}}}],["statsbases.jl",{"_index":2707,"t":{},"b":{"18":{}}}],["std",{"_index":291,"t":{},"b":{"1":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["std(mao.age)miss",{"_index":439,"t":{},"b":{"1":{}}}],["std(skipmissing(mao.age))11.551715894987558",{"_index":443,"t":{},"b":{"1":{}}}],["std(w",{"_index":2257,"t":{},"b":{"12":{}}}],["std(w)round.(w",{"_index":2253,"t":{},"b":{"12":{}}}],["std(x",{"_index":2632,"t":{},"b":{"18":{}}}],["std)13×3",{"_index":1740,"t":{},"b":{"7":{}}}],["std)14×6",{"_index":289,"t":{},"b":{"1":{}}}],["std)3×3",{"_index":520,"t":{},"b":{"1":{}}}],["std)3×5",{"_index":528,"t":{},"b":{"1":{}}}],["std)5×3",{"_index":2506,"t":{},"b":{"17":{}}}],["std)9×4",{"_index":2673,"t":{},"b":{"18":{}}}],["std_model",{"_index":2357,"t":{},"b":{"14":{}}}],["std_model::standard",{"_index":2384,"t":{},"b":{"14":{}}}],["stem(coef",{"_index":3268,"t":{},"b":{"22":{}}}],["stem(r",{"_index":2790,"t":{},"b":{"19":{},"22":{}}}],["step",{"_index":811,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{}}}],["stepsdatamlj",{"_index":2189,"t":{},"b":{"12":{}}}],["stepsdefin",{"_index":2262,"t":{},"b":{"13":{}}}],["stepsdummi",{"_index":802,"t":{},"b":{"4":{}}}],["stepshomogen",{"_index":1999,"t":{},"b":{"10":{}}}],["stepsus",{"_index":2348,"t":{},"b":{"14":{}}}],["stepsxgboost",{"_index":1134,"t":{},"b":{"5":{}}}],["steroid",{"_index":2293,"t":{},"b":{"13":{}}}],["stick",{"_index":3003,"t":{},"b":{"20":{}}}],["still",{"_index":1231,"t":{},"b":{"5":{},"6":{},"10":{}}}],["stock",{"_index":2814,"t":{},"b":{"20":{}}}],["store",{"_index":890,"t":{},"b":{"4":{},"8":{}}}],["store_covari",{"_index":2959,"t":{},"b":{"20":{}}}],["strategi",{"_index":2397,"t":{},"b":{"15":{}}}],["string",{"_index":607,"t":{},"b":{"2":{},"3":{},"18":{}}}],["string_to_multiclass",{"_index":792,"t":{},"b":{"3":{}}}],["struct",{"_index":1010,"t":{},"b":{"4":{},"8":{},"14":{}}}],["structur",{"_index":1058,"t":{},"b":{"4":{}}}],["sub",{"_index":263,"t":{},"b":{"1":{},"11":{},"15":{}}}],["subdatafram",{"_index":503,"t":{},"b":{"1":{}}}],["subdf_setosa",{"_index":486,"t":{},"b":{"1":{}}}],["subfeatur",{"_index":2137,"t":{},"b":{"11":{}}}],["subsampl",{"_index":1188,"t":{},"b":{"5":{}}}],["subselect",{"_index":406,"t":{},"b":{"1":{}}}],["subsequ",{"_index":2355,"t":{},"b":{"14":{}}}],["subspacelda",{"_index":1936,"t":{},"b":{"8":{}}}],["such",{"_index":564,"t":{},"b":{"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"20":{}}}],["suggest",{"_index":789,"t":{},"b":{"3":{},"6":{}}}],["sum",{"_index":1003,"t":{},"b":{"4":{}}}],["sum(abs.(vv",{"_index":2260,"t":{},"b":{"12":{}}}],["sum(abs.(x",{"_index":380,"t":{},"b":{"1":{}}}],["sum(coef",{"_index":3266,"t":{},"b":{"22":{}}}],["sum(ismissing.(col",{"_index":1567,"t":{},"b":{"6":{}}}],["sum(purchas",{"_index":2982,"t":{},"b":{"20":{}}}],["summari",{"_index":2108,"t":{},"b":{"11":{}}}],["supervis",{"_index":2191,"t":{},"b":{"12":{},"13":{}}}],["support",{"_index":1902,"t":{"24":{}},"b":{"8":{},"10":{},"13":{},"16":{},"18":{},"21":{},"24":{}}}],["sure",{"_index":3232,"t":{},"b":{"22":{}}}],["surgeri",{"_index":1458,"t":{},"b":{"6":{}}}],["surgical_les",{"_index":1479,"t":{},"b":{"6":{}}}],["svc",{"_index":3410,"t":{},"b":{"24":{}}}],["svc_mdl",{"_index":3412,"t":{},"b":{"24":{}}}],["svm",{"_index":2483,"t":{},"b":{"16":{},"24":{}}}],["swap",{"_index":3229,"t":{},"b":{"22":{}}}],["symbol",{"_index":292,"t":{},"b":{"1":{},"6":{},"7":{},"15":{},"17":{},"18":{},"19":{},"20":{}}}],["symbol(\"x$j",{"_index":3109,"t":{},"b":{"21":{}}}],["syntax",{"_index":269,"t":{},"b":{"1":{},"4":{},"7":{},"9":{},"13":{},"15":{},"18":{}}}],["syntaxpreliminari",{"_index":2266,"t":{},"b":{"13":{}}}],["syntaxtun",{"_index":809,"t":{},"b":{"4":{}}}],["syntaxus",{"_index":807,"t":{},"b":{"4":{}}}],["system",{"_index":622,"t":{},"b":{"2":{}}}],["systemat",{"_index":2050,"t":{},"b":{"10":{}}}],["t,1",{"_index":1075,"t":{},"b":{"4":{}}}],["t=pca(maxoutdim=2",{"_index":1829,"t":{},"b":{"7":{}}}],["t[numericrang",{"_index":1111,"t":{},"b":{"4":{}}}],["tabl",{"_index":3407,"t":{},"b":{"24":{}}}],["tabular",{"_index":2945,"t":{},"b":{"20":{}}}],["tag",{"_index":2491,"t":{},"b":{"16":{}}}],["take",{"_index":881,"t":{},"b":{"4":{},"15":{},"20":{}}}],["taken",{"_index":1895,"t":{},"b":{"8":{},"10":{},"19":{}}}],["target",{"_index":868,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"20":{},"22":{}}}],["task",{"_index":1890,"t":{},"b":{"8":{},"14":{}}}],["tax",{"_index":188,"t":{},"b":{"1":{},"3":{},"19":{}}}],["teach",{"_index":2487,"t":{},"b":{"16":{}}}],["temperatur",{"_index":710,"t":{},"b":{"3":{}}}],["temperature_extrem",{"_index":1463,"t":{},"b":{"6":{}}}],["tend",{"_index":3341,"t":{},"b":{"23":{}}}],["term",{"_index":2794,"t":{},"b":{"19":{},"22":{}}}],["test",{"_index":898,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["test[1:3]3",{"_index":2210,"t":{},"b":{"12":{}}}],["textual",{"_index":720,"t":{},"b":{"3":{}}}],["thank",{"_index":1685,"t":{},"b":{"7":{},"8":{}}}],["that'",{"_index":403,"t":{},"b":{"1":{},"6":{},"13":{},"20":{},"22":{},"23":{}}}],["there'",{"_index":629,"t":{},"b":{"2":{},"4":{},"6":{},"18":{},"19":{},"21":{}}}],["there'r",{"_index":3204,"t":{},"b":{"22":{}}}],["therefor",{"_index":1939,"t":{},"b":{"8":{}}}],["thibaut",{"_index":125,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["thing",{"_index":117,"t":{},"b":{"0":{},"4":{},"6":{},"16":{},"18":{},"20":{}}}],["third",{"_index":987,"t":{},"b":{"4":{}}}],["those",{"_index":244,"t":{},"b":{"1":{},"20":{},"21":{}}}],["though",{"_index":749,"t":{},"b":{"3":{},"11":{},"12":{}}}],["three",{"_index":617,"t":{},"b":{"2":{},"3":{},"7":{},"20":{},"21":{}}}],["threshold",{"_index":3020,"t":{},"b":{"20":{}}}],["through",{"_index":2298,"t":{},"b":{"13":{},"16":{}}}],["throughout",{"_index":731,"t":{},"b":{"3":{}}}],["thu",{"_index":2366,"t":{},"b":{"14":{}}}],["thumb",{"_index":1548,"t":{},"b":{"6":{}}}],["timber",{"_index":854,"t":{},"b":{"4":{}}}],["time",{"_index":515,"t":{},"b":{"1":{},"20":{},"21":{}}}],["tip",{"_index":768,"t":{},"b":{"3":{}}}],["tm",{"_index":1088,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["today",{"_index":2833,"t":{},"b":{"20":{}}}],["togeth",{"_index":2795,"t":{},"b":{"19":{}}}],["tol",{"_index":2960,"t":{},"b":{"20":{}}}],["tool",{"_index":780,"t":{},"b":{"3":{},"16":{}}}],["top_k",{"_index":1215,"t":{},"b":{"5":{}}}],["total",{"_index":1697,"t":{},"b":{"7":{}}}],["total_protein",{"_index":1476,"t":{},"b":{"6":{}}}],["totalbsmtsf",{"_index":835,"t":{},"b":{"4":{}}}],["toy",{"_index":2534,"t":{},"b":{"17":{}}}],["tpr",{"_index":3019,"t":{},"b":{"20":{}}}],["track",{"_index":1502,"t":{},"b":{"6":{},"12":{}}}],["tradeoff",{"_index":3417,"t":{},"b":{"24":{}}}],["train",{"_index":891,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["train/test",{"_index":1560,"t":{},"b":{"6":{}}}],["train_best",{"_index":1112,"t":{},"b":{"4":{},"15":{},"21":{}}}],["transform",{"_index":19,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["transform(1…25",{"_index":2305,"t":{},"b":{"13":{}}}],["transform(1…27",{"_index":2363,"t":{},"b":{"14":{}}}],["transform(1…71",{"_index":2360,"t":{},"b":{"14":{}}}],["transform(2…65",{"_index":985,"t":{},"b":{"4":{}}}],["transform(2…83",{"_index":2340,"t":{},"b":{"13":{}}}],["transform(box",{"_index":2323,"t":{},"b":{"13":{},"14":{}}}],["transform(fil",{"_index":1598,"t":{},"b":{"6":{}}}],["transform(hot",{"_index":975,"t":{},"b":{"4":{}}}],["transform(machine(m.std_model",{"_index":2387,"t":{},"b":{"14":{}}}],["transform(mstd",{"_index":2999,"t":{},"b":{"20":{}}}],["transform(pca",{"_index":1832,"t":{},"b":{"7":{},"17":{}}}],["transform(spca",{"_index":2555,"t":{},"b":{"17":{}}}],["transform(stand",{"_index":2249,"t":{},"b":{"12":{},"13":{},"14":{}}}],["transformationsimpl",{"_index":2725,"t":{},"b":{"19":{}}}],["treat",{"_index":1527,"t":{},"b":{"6":{}}}],["tree",{"_index":1209,"t":{"23":{}},"b":{"5":{},"6":{},"11":{},"12":{},"15":{},"16":{},"23":{}}}],["tree.max_depth",{"_index":3348,"t":{},"b":{"23":{}}}],["tree.min_samples_leaf",{"_index":3350,"t":{},"b":{"23":{}}}],["tree_method",{"_index":1192,"t":{},"b":{"5":{}}}],["tree_model",{"_index":2195,"t":{},"b":{"12":{}}}],["tri",{"_index":937,"t":{},"b":{"4":{},"6":{},"8":{},"17":{},"19":{},"20":{},"22":{},"23":{}}}],["trick",{"_index":769,"t":{},"b":{"3":{}}}],["trickstyp",{"_index":687,"t":{},"b":{"3":{}}}],["tricontourf(md",{"_index":1392,"t":{},"b":{"5":{}}}],["tricontourf(ss",{"_index":1424,"t":{},"b":{"5":{}}}],["tricontourf(vals_b",{"_index":2089,"t":{},"b":{"10":{}}}],["tricontourf(vals_sf",{"_index":2183,"t":{},"b":{"11":{},"15":{}}}],["true",{"_index":959,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["truth",{"_index":2331,"t":{},"b":{"13":{},"20":{}}}],["tune",{"_index":20,"t":{"15":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tuned_ensembl",{"_index":2075,"t":{},"b":{"10":{}}}],["tuned_forest",{"_index":2170,"t":{},"b":{"11":{}}}],["tunedmodel",{"_index":2068,"t":{},"b":{"10":{},"13":{},"15":{}}}],["tunedmodel(model=dtc",{"_index":2407,"t":{},"b":{"15":{}}}],["tunedmodel(model=dtr_model",{"_index":3370,"t":{},"b":{"23":{}}}],["tunedmodel(model=ensemble_model",{"_index":2069,"t":{},"b":{"10":{}}}],["tunedmodel(model=forest",{"_index":2171,"t":{},"b":{"11":{},"15":{}}}],["tunedmodel(model=krb",{"_index":1089,"t":{},"b":{"4":{}}}],["tunedmodel(model=lrm",{"_index":3115,"t":{},"b":{"21":{}}}],["tunedmodel(model=mdl",{"_index":3352,"t":{},"b":{"23":{}}}],["tunedmodel(model=model",{"_index":3235,"t":{},"b":{"22":{}}}],["tunedmodel(model=simplepip",{"_index":1645,"t":{},"b":{"6":{}}}],["tunedmodel(model=svc_mdl",{"_index":3423,"t":{},"b":{"24":{}}}],["tunedmodel(model=xgb",{"_index":1373,"t":{},"b":{"5":{}}}],["tuning=grid(resolution=10",{"_index":2070,"t":{},"b":{"10":{},"23":{},"24":{}}}],["tuning=grid(resolution=12",{"_index":2447,"t":{},"b":{"15":{}}}],["tuning=grid(resolution=3",{"_index":2172,"t":{},"b":{"11":{}}}],["tuning=grid(resolution=50",{"_index":3236,"t":{},"b":{"22":{}}}],["tuning=grid(resolution=8",{"_index":1374,"t":{},"b":{"5":{},"23":{}}}],["tuning=tun",{"_index":1090,"t":{},"b":{"4":{}}}],["tuningget",{"_index":3393,"t":{},"b":{"24":{}}}],["tuningreport",{"_index":2002,"t":{},"b":{"10":{}}}],["tupl",{"_index":2225,"t":{},"b":{"12":{},"13":{}}}],["tutori",{"_index":4,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tweedie_variance_pow",{"_index":1216,"t":{},"b":{"5":{}}}],["two",{"_index":97,"t":{},"b":{"0":{},"2":{},"4":{},"6":{},"7":{},"8":{},"10":{},"14":{},"20":{}}}],["type",{"_index":12,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["typeget",{"_index":1674,"t":{},"b":{"7":{}}}],["typeof(boston)dataframes.datafram",{"_index":168,"t":{},"b":{"1":{},"2":{}}}],["typeof(data)dataframes.datafram",{"_index":625,"t":{},"b":{"2":{}}}],["typesinspect",{"_index":683,"t":{},"b":{"3":{}}}],["typeunpack",{"_index":1876,"t":{},"b":{"8":{}}}],["typewhi",{"_index":681,"t":{},"b":{"3":{}}}],["typic",{"_index":1976,"t":{},"b":{"9":{}}}],["u",{"_index":2888,"t":{},"b":{"20":{}}}],["uci",{"_index":1446,"t":{},"b":{"6":{},"7":{}}}],["un",{"_index":702,"t":{},"b":{"3":{}}}],["unbalanc",{"_index":2994,"t":{},"b":{"20":{}}}],["under",{"_index":3015,"t":{},"b":{"20":{}}}],["understood",{"_index":1892,"t":{},"b":{"8":{}}}],["unifi",{"_index":2727,"t":{},"b":{"19":{}}}],["uniform",{"_index":960,"t":{},"b":{"4":{},"5":{},"8":{},"10":{}}}],["union",{"_index":411,"t":{},"b":{"1":{},"17":{},"18":{},"20":{}}}],["union{miss",{"_index":1521,"t":{},"b":{"6":{},"7":{}}}],["uniqu",{"_index":787,"t":{},"b":{"3":{}}}],["unique(boston.chas)2",{"_index":747,"t":{},"b":{"3":{}}}],["unique(iris.species)3",{"_index":480,"t":{},"b":{"1":{}}}],["unique(purchase)2",{"_index":2979,"t":{},"b":{"20":{}}}],["unit",{"_index":2404,"t":{},"b":{"15":{}}}],["univari",{"_index":914,"t":{},"b":{"4":{},"19":{}}}],["univariateboxcoxtransform",{"_index":2321,"t":{},"b":{"13":{},"14":{}}}],["univariateboxcoxtransformer()nod",{"_index":2338,"t":{},"b":{"13":{}}}],["univariatefinite(down=>0.493",{"_index":2903,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.504",{"_index":2942,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.518",{"_index":2905,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.519",{"_index":2907,"t":{},"b":{"20":{}}}],["univariatefinite(setosa=>0.0",{"_index":2228,"t":{},"b":{"12":{}}}],["univariatestandard",{"_index":1985,"t":{},"b":{"9":{},"12":{}}}],["univers",{"_index":2469,"t":{},"b":{"16":{}}}],["unknown",{"_index":725,"t":{},"b":{"3":{},"6":{}}}],["unknowntip",{"_index":686,"t":{},"b":{"3":{}}}],["unless",{"_index":733,"t":{},"b":{"3":{}}}],["unnecessari",{"_index":2479,"t":{},"b":{"16":{}}}],["unpack",{"_index":1889,"t":{},"b":{"8":{},"12":{}}}],["unpack(auto",{"_index":3030,"t":{},"b":{"21":{}}}],["unpack(boston",{"_index":3359,"t":{},"b":{"23":{}}}],["unpack(caravan",{"_index":2996,"t":{},"b":{"20":{}}}],["unpack(data",{"_index":1709,"t":{},"b":{"7":{}}}],["unpack(datac",{"_index":1599,"t":{},"b":{"6":{}}}],["unpack(hitt",{"_index":3178,"t":{},"b":{"22":{}}}],["unpack(iri",{"_index":1891,"t":{},"b":{"8":{}}}],["unspecifi",{"_index":897,"t":{},"b":{"4":{}}}],["unsupervis",{"_index":2206,"t":{},"b":{"12":{},"13":{}}}],["untrain",{"_index":2290,"t":{},"b":{"13":{}}}],["unwant",{"_index":1498,"t":{},"b":{"6":{}}}],["up",{"_index":2877,"t":{},"b":{"20":{}}}],["up=>0.479",{"_index":2941,"t":{},"b":{"20":{}}}],["up=>0.481",{"_index":2908,"t":{},"b":{"20":{}}}],["up=>0.482",{"_index":2906,"t":{},"b":{"20":{}}}],["up=>0.496",{"_index":2943,"t":{},"b":{"20":{}}}],["up=>0.507",{"_index":2904,"t":{},"b":{"20":{}}}],["updat",{"_index":1197,"t":{},"b":{"5":{}}}],["updr",{"_index":418,"t":{},"b":{"1":{}}}],["upon",{"_index":2100,"t":{},"b":{"11":{}}}],["upper",{"_index":2403,"t":{},"b":{"15":{}}}],["upper=0.9",{"_index":1072,"t":{},"b":{"4":{}}}],["upper=1.0",{"_index":1417,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["upper=10",{"_index":1069,"t":{},"b":{"4":{},"5":{},"23":{}}}],["upper=100",{"_index":1064,"t":{},"b":{"4":{},"6":{},"22":{}}}],["upper=1000",{"_index":2149,"t":{},"b":{"11":{}}}],["upper=100_000",{"_index":3234,"t":{},"b":{"22":{}}}],["upper=10_000",{"_index":3286,"t":{},"b":{"22":{}}}],["upper=12",{"_index":2163,"t":{},"b":{"11":{}}}],["upper=20",{"_index":2064,"t":{},"b":{"10":{},"23":{}}}],["upper=3",{"_index":2446,"t":{},"b":{"15":{}}}],["upper=5",{"_index":1372,"t":{},"b":{"5":{},"24":{}}}],["upper=5)numericrang",{"_index":2402,"t":{},"b":{"15":{}}}],["upper=50",{"_index":3351,"t":{},"b":{"23":{}}}],["upper=500",{"_index":1243,"t":{},"b":{"5":{}}}],["upstream",{"_index":2308,"t":{},"b":{"13":{}}}],["urban",{"_index":3310,"t":{},"b":{"23":{}}}],["urbanpop",{"_index":2503,"t":{},"b":{"17":{}}}],["urbanpop=>continu",{"_index":2518,"t":{},"b":{"17":{}}}],["us",{"_index":61,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["usag",{"_index":476,"t":{},"b":{"1":{},"2":{}}}],["usageexampl",{"_index":546,"t":{},"b":{"2":{}}}],["usarrest",{"_index":2498,"t":{},"b":{"17":{}}}],["usual",{"_index":706,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"20":{},"24":{}}}],["v",{"_index":63,"t":{},"b":{"0":{},"12":{}}}],["v))0.0",{"_index":2261,"t":{},"b":{"12":{}}}],["v)machine{univariatestandard",{"_index":2246,"t":{},"b":{"12":{}}}],["v[1",{"_index":105,"t":{},"b":{"0":{}}}],["v[2]fals",{"_index":119,"t":{},"b":{"0":{}}}],["v[2]true",{"_index":106,"t":{},"b":{"0":{}}}],["val",{"_index":2978,"t":{},"b":{"20":{}}}],["valid",{"_index":623,"t":{"21":{}},"b":{"2":{},"4":{},"15":{},"16":{},"21":{},"22":{}}}],["validatinglasso",{"_index":3150,"t":{},"b":{"22":{}}}],["validationth",{"_index":3028,"t":{},"b":{"21":{}}}],["vals[1",{"_index":2983,"t":{},"b":{"20":{}}}],["vals[2",{"_index":2985,"t":{},"b":{"20":{}}}],["vals_b",{"_index":2086,"t":{},"b":{"10":{}}}],["vals_bf",{"_index":2182,"t":{},"b":{"11":{},"15":{}}}],["vals_k",{"_index":2088,"t":{},"b":{"10":{}}}],["vals_sf",{"_index":2181,"t":{},"b":{"11":{},"15":{}}}],["valu",{"_index":121,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"9":{},"13":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["valuefit",{"_index":2395,"t":{},"b":{"15":{}}}],["values=cas",{"_index":3114,"t":{},"b":{"21":{}}}],["valuesa",{"_index":1442,"t":{},"b":{"6":{}}}],["valuessplit",{"_index":143,"t":{},"b":{"1":{}}}],["valuesthi",{"_index":56,"t":{},"b":{"0":{}}}],["var(xs[:,1",{"_index":3000,"t":{},"b":{"20":{}}}],["vari",{"_index":1237,"t":{},"b":{"5":{},"7":{},"12":{}}}],["variabl",{"_index":290,"t":{},"b":{"1":{},"3":{},"7":{},"9":{},"17":{},"18":{},"19":{},"20":{},"23":{}}}],["varianc",{"_index":918,"t":{},"b":{"4":{},"17":{}}}],["variat",{"_index":1772,"t":{},"b":{"7":{}}}],["variou",{"_index":1770,"t":{},"b":{"7":{}}}],["vcat",{"_index":2291,"t":{},"b":{"13":{},"24":{}}}],["vcat(data_train",{"_index":1499,"t":{},"b":{"6":{}}}],["vector",{"_index":60,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"12":{},"18":{},"24":{}}}],["vectorwork",{"_index":53,"t":{},"b":{"0":{}}}],["vega",{"_index":2722,"t":{},"b":{"18":{}}}],["verbos",{"_index":1031,"t":{},"b":{"4":{},"13":{}}}],["verbosity::int",{"_index":1018,"t":{},"b":{"4":{},"14":{}}}],["verbosity=0",{"_index":1027,"t":{},"b":{"4":{},"14":{}}}],["veri",{"_index":163,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"16":{},"18":{},"19":{},"20":{}}}],["versicolor",{"_index":481,"t":{},"b":{"1":{},"12":{}}}],["versicolor=>0.0",{"_index":2229,"t":{},"b":{"12":{}}}],["version",{"_index":447,"t":{},"b":{"1":{},"4":{}}}],["via",{"_index":553,"t":{},"b":{"2":{},"4":{},"7":{},"10":{},"14":{},"18":{},"20":{}}}],["view",{"_index":193,"t":{},"b":{"1":{}}}],["virginica",{"_index":482,"t":{},"b":{"1":{},"12":{}}}],["virginica=>1.0",{"_index":2230,"t":{},"b":{"12":{}}}],["visualis",{"_index":1421,"t":{},"b":{"5":{},"7":{},"10":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["vntrcod2",{"_index":431,"t":{},"b":{"1":{}}}],["vntrcode",{"_index":429,"t":{},"b":{"1":{}}}],["volum",{"_index":2832,"t":{},"b":{"20":{}}}],["vs",{"_index":680,"t":{},"b":{"3":{}}}],["vv",{"_index":2258,"t":{},"b":{"12":{}}}],["w",{"_index":972,"t":{},"b":{"4":{},"7":{},"12":{},"13":{},"14":{},"17":{}}}],["w(rows=test",{"_index":2311,"t":{},"b":{"13":{}}}],["w(x[3:4",{"_index":2312,"t":{},"b":{"13":{}}}],["w)node",{"_index":982,"t":{},"b":{"4":{},"14":{}}}],["w.x1",{"_index":1837,"t":{},"b":{"7":{}}}],["w.x2",{"_index":1839,"t":{},"b":{"7":{}}}],["w[m",{"_index":2592,"t":{},"b":{"17":{}}}],["w_rang",{"_index":1070,"t":{},"b":{"4":{}}}],["w_range]3",{"_index":1073,"t":{},"b":{"4":{}}}],["walk",{"_index":3165,"t":{},"b":{"22":{}}}],["want",{"_index":103,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"8":{},"9":{},"13":{},"16":{},"18":{},"19":{},"20":{},"21":{}}}],["warn",{"_index":2202,"t":{},"b":{"12":{}}}],["way",{"_index":551,"t":{},"b":{"2":{},"7":{},"14":{},"15":{},"16":{},"18":{},"20":{}}}],["we'll",{"_index":1546,"t":{},"b":{"6":{},"7":{},"20":{},"22":{}}}],["we'r",{"_index":2913,"t":{},"b":{"20":{},"21":{},"22":{}}}],["we'v",{"_index":104,"t":{},"b":{"0":{},"6":{},"10":{},"11":{},"17":{},"20":{}}}],["wealth",{"_index":2616,"t":{},"b":{"18":{}}}],["websit",{"_index":133,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["weight",{"_index":708,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"10":{},"15":{},"18":{},"21":{}}}],["welcom",{"_index":2456,"t":{},"b":{"16":{}}}],["well",{"_index":148,"t":{},"b":{"1":{},"2":{},"4":{},"6":{},"7":{},"11":{},"19":{},"20":{},"21":{}}}],["whatev",{"_index":2307,"t":{},"b":{"13":{}}}],["whatever'",{"_index":1551,"t":{},"b":{"6":{}}}],["whenc",{"_index":2049,"t":{},"b":{"10":{}}}],["wherea",{"_index":699,"t":{},"b":{"3":{}}}],["whether",{"_index":628,"t":{},"b":{"2":{},"5":{},"6":{},"13":{},"23":{}}}],["whole",{"_index":1630,"t":{},"b":{"6":{},"11":{},"23":{}}}],["whose",{"_index":73,"t":{},"b":{"0":{},"13":{}}}],["width",{"_index":3419,"t":{},"b":{"24":{}}}],["wine",{"_index":39,"t":{"7":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["wise",{"_index":2621,"t":{},"b":{"18":{}}}],["wish",{"_index":91,"t":{},"b":{"0":{}}}],["without",{"_index":474,"t":{},"b":{"1":{},"22":{}}}],["won't",{"_index":1827,"t":{},"b":{"7":{},"17":{},"20":{}}}],["wonder",{"_index":2603,"t":{},"b":{"18":{}}}],["work",{"_index":88,"t":{},"b":{"0":{},"6":{},"7":{},"11":{},"13":{},"20":{},"22":{}}}],["workflow",{"_index":1977,"t":{},"b":{"9":{},"13":{}}}],["worri",{"_index":575,"t":{},"b":{"2":{}}}],["wors",{"_index":1671,"t":{},"b":{"6":{}}}],["wrangl",{"_index":2706,"t":{},"b":{"18":{}}}],["wrap",{"_index":888,"t":{},"b":{"4":{},"5":{},"7":{},"10":{},"12":{},"13":{},"15":{},"19":{},"24":{}}}],["wrapper",{"_index":171,"t":{},"b":{"1":{},"15":{}}}],["write",{"_index":2353,"t":{},"b":{"14":{},"21":{}}}],["written",{"_index":2474,"t":{},"b":{"16":{},"18":{}}}],["x",{"_index":823,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["x.age",{"_index":2799,"t":{},"b":{"19":{}}}],["x.horsepow",{"_index":3054,"t":{},"b":{"21":{}}}],["x.lstat",{"_index":2798,"t":{},"b":{"19":{}}}],["x.lstat.^2",{"_index":2809,"t":{},"b":{"19":{}}}],["x.x2",{"_index":2440,"t":{},"b":{"15":{}}}],["x1",{"_index":1836,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"21":{}}}],["x10",{"_index":3126,"t":{},"b":{"21":{}}}],["x1=rand(100",{"_index":2436,"t":{},"b":{"15":{}}}],["x1stflrsf",{"_index":834,"t":{},"b":{"4":{}}}],["x2",{"_index":1838,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x2=rand(100",{"_index":2437,"t":{},"b":{"15":{}}}],["x2=x2",{"_index":2273,"t":{},"b":{"13":{},"14":{}}}],["x2[mask_1",{"_index":1845,"t":{},"b":{"7":{}}}],["x2[mask_2",{"_index":1850,"t":{},"b":{"7":{}}}],["x2[mask_3",{"_index":1853,"t":{},"b":{"7":{}}}],["x3",{"_index":2269,"t":{},"b":{"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x3=rand(100",{"_index":2438,"t":{},"b":{"15":{}}}],["x3=x3",{"_index":2274,"t":{},"b":{"13":{},"14":{}}}],["x4",{"_index":2524,"t":{},"b":{"17":{},"21":{}}}],["x5",{"_index":2557,"t":{},"b":{"17":{},"21":{}}}],["x6",{"_index":2558,"t":{},"b":{"17":{},"21":{}}}],["x7",{"_index":3123,"t":{},"b":{"21":{}}}],["x8",{"_index":3124,"t":{},"b":{"21":{}}}],["x9",{"_index":3125,"t":{},"b":{"21":{}}}],["x[1",{"_index":2636,"t":{},"b":{"18":{}}}],["x[1:5",{"_index":1722,"t":{},"b":{"7":{}}}],["x[[1",{"_index":2637,"t":{},"b":{"18":{}}}],["x[no_miss",{"_index":3183,"t":{},"b":{"22":{}}}],["x[test",{"_index":2018,"t":{},"b":{"10":{}}}],["x[train",{"_index":1612,"t":{},"b":{"6":{}}}],["x[ym1",{"_index":3403,"t":{},"b":{"24":{}}}],["x[ym2",{"_index":3405,"t":{},"b":{"24":{}}}],["x^2",{"_index":2618,"t":{},"b":{"18":{}}}],["x_uni",{"_index":2745,"t":{},"b":{"19":{}}}],["xc",{"_index":1731,"t":{},"b":{"7":{},"22":{}}}],["xg",{"_index":2493,"t":{},"b":{"16":{}}}],["xgb",{"_index":41,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["xgb.colsample_bytre",{"_index":1431,"t":{},"b":{"5":{}}}],["xgb.colsample_bytreexgb.subsampl",{"_index":1430,"t":{},"b":{"5":{}}}],["xgb.max_depth",{"_index":1400,"t":{},"b":{"5":{}}}],["xgb.min_child_weight",{"_index":1402,"t":{},"b":{"5":{}}}],["xgb.min_child_weightxgb.max_depth",{"_index":1401,"t":{},"b":{"5":{}}}],["xgb.num_round",{"_index":1363,"t":{},"b":{"5":{}}}],["xgb.subsampl",{"_index":1429,"t":{},"b":{"5":{}}}],["xgb_mdl",{"_index":3385,"t":{},"b":{"23":{}}}],["xgb_model",{"_index":1177,"t":{},"b":{"5":{}}}],["xgbm",{"_index":1233,"t":{},"b":{"5":{}}}],["xgboost",{"_index":1133,"t":{"5":{}},"b":{"5":{},"8":{}}}],["xgboostclassifi",{"_index":1176,"t":{},"b":{"5":{},"6":{},"8":{}}}],["xgboostclassifier()xgboostclassifi",{"_index":1178,"t":{},"b":{"5":{}}}],["xgboostregressor",{"_index":3384,"t":{},"b":{"23":{}}}],["xgboostregressor(num_round=10",{"_index":3386,"t":{},"b":{"23":{}}}],["xhp",{"_index":3055,"t":{},"b":{"21":{}}}],["xlabel(\"bag",{"_index":2091,"t":{},"b":{"10":{}}}],["xlabel(\"fals",{"_index":3023,"t":{},"b":{"20":{}}}],["xlabel(\"horsepow",{"_index":3035,"t":{},"b":{"21":{}}}],["xlabel(\"index",{"_index":3186,"t":{},"b":{"22":{}}}],["xlabel(\"maximum",{"_index":1394,"t":{},"b":{"5":{},"15":{}}}],["xlabel(\"numb",{"_index":1355,"t":{},"b":{"5":{},"11":{},"15":{},"17":{}}}],["xlabel(\"pca",{"_index":1855,"t":{},"b":{"7":{},"17":{}}}],["xlabel(\"residu",{"_index":3227,"t":{},"b":{"22":{}}}],["xlabel(\"salari",{"_index":3191,"t":{},"b":{"22":{}}}],["xlabel(\"sub",{"_index":1425,"t":{},"b":{"5":{}}}],["xlabel(\"tick",{"_index":2875,"t":{},"b":{"20":{}}}],["xlim",{"_index":3228,"t":{},"b":{"22":{}}}],["xnew",{"_index":2758,"t":{},"b":{"19":{},"20":{},"21":{}}}],["xnew.lstat",{"_index":2811,"t":{},"b":{"19":{}}}],["xnew.lstat.^2",{"_index":2813,"t":{},"b":{"19":{}}}],["xraw",{"_index":2005,"t":{},"b":{"10":{}}}],["xraw[:,2",{"_index":2008,"t":{},"b":{"10":{}}}],["xs",{"_index":964,"t":{},"b":{"4":{},"13":{},"14":{},"20":{}}}],["xs)node",{"_index":2303,"t":{},"b":{"13":{}}}],["xtest",{"_index":1793,"t":{},"b":{"7":{}}}],["xticks(0.5:0.1:1",{"_index":2090,"t":{},"b":{"10":{}}}],["xticks(1:3:12",{"_index":2184,"t":{},"b":{"11":{}}}],["xticks(1:5",{"_index":2433,"t":{},"b":{"15":{}}}],["xticks(3:2:10",{"_index":1396,"t":{},"b":{"5":{}}}],["xticks(50:50:250",{"_index":3036,"t":{},"b":{"21":{}}}],["xticks([1",{"_index":2450,"t":{},"b":{"15":{},"20":{}}}],["xticks([10",{"_index":1358,"t":{},"b":{"5":{},"11":{}}}],["xticks(fontsize=12",{"_index":1428,"t":{},"b":{"5":{},"7":{},"20":{},"22":{}}}],["xticks(idxshow",{"_index":3279,"t":{},"b":{"22":{}}}],["xtrain",{"_index":1611,"t":{},"b":{"6":{},"7":{}}}],["xx",{"_index":3045,"t":{},"b":{"21":{},"22":{}}}],["xx.horsepow",{"_index":3089,"t":{},"b":{"21":{}}}],["y",{"_index":824,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["y)0.0",{"_index":3339,"t":{},"b":{"23":{}}}],["y)0.1",{"_index":3426,"t":{},"b":{"24":{}}}],["y)0.15",{"_index":3416,"t":{},"b":{"24":{}}}],["y)machine{constantregressor",{"_index":895,"t":{},"b":{"4":{}}}],["y)machine{decisiontreeclassifi",{"_index":2204,"t":{},"b":{"12":{}}}],["y)machine{knnregressor",{"_index":2015,"t":{},"b":{"10":{}}}],["y)machine{logisticclassifi",{"_index":2898,"t":{},"b":{"20":{}}}],["y)machine{xgboostclassifi",{"_index":1235,"t":{},"b":{"5":{}}}],["y[1:3",{"_index":869,"t":{},"b":{"4":{},"5":{}}}],["y[test",{"_index":1437,"t":{},"b":{"5":{},"10":{},"12":{},"20":{},"22":{},"23":{}}}],["y[test])0.11590837511873998",{"_index":2020,"t":{},"b":{"10":{}}}],["y[test])0.26",{"_index":3356,"t":{},"b":{"23":{}}}],["y[test])0.29",{"_index":3345,"t":{},"b":{"23":{}}}],["y[test])0.3939854493135167",{"_index":934,"t":{},"b":{"4":{}}}],["y[test])0.7434211711306039",{"_index":3017,"t":{},"b":{"20":{}}}],["y[test])^2",{"_index":3080,"t":{},"b":{"21":{},"22":{}}}],["y[test])^223.493990895007986",{"_index":3044,"t":{},"b":{"21":{}}}],["y[train",{"_index":1614,"t":{},"b":{"6":{}}}],["yc",{"_index":1714,"t":{},"b":{"7":{}}}],["ye",{"_index":2980,"t":{},"b":{"20":{},"23":{}}}],["yeah",{"_index":1538,"t":{},"b":{"6":{}}}],["year",{"_index":2649,"t":{},"b":{"18":{},"20":{},"22":{}}}],["yearbuilt",{"_index":842,"t":{},"b":{"4":{}}}],["yearremodadd",{"_index":841,"t":{},"b":{"4":{}}}],["ylabel(\"amplitud",{"_index":3282,"t":{},"b":{"22":{}}}],["ylabel(\"bag",{"_index":2186,"t":{},"b":{"11":{},"15":{}}}],["ylabel(\"col",{"_index":1427,"t":{},"b":{"5":{}}}],["ylabel(\"dens",{"_index":3192,"t":{},"b":{"22":{}}}],["ylabel(\"hingeloss",{"_index":1357,"t":{},"b":{"5":{}}}],["ylabel(\"minimum",{"_index":1395,"t":{},"b":{"5":{}}}],["ylabel(\"misclassif",{"_index":2434,"t":{},"b":{"15":{}}}],["ylabel(\"mpg",{"_index":3038,"t":{},"b":{"21":{}}}],["ylabel(\"numb",{"_index":2094,"t":{},"b":{"10":{},"20":{}}}],["ylabel(\"pca",{"_index":1857,"t":{},"b":{"7":{},"17":{}}}],["ylabel(\"ratio",{"_index":2571,"t":{},"b":{"17":{}}}],["ylabel(\"residu",{"_index":3212,"t":{},"b":{"22":{}}}],["ylabel(\"salari",{"_index":3187,"t":{},"b":{"22":{}}}],["ylabel(\"tru",{"_index":3024,"t":{},"b":{"20":{}}}],["ylabel(\"volum",{"_index":2876,"t":{},"b":{"20":{}}}],["ylim",{"_index":3213,"t":{},"b":{"22":{}}}],["ylim([0",{"_index":2435,"t":{},"b":{"15":{}}}],["ylim([4",{"_index":2156,"t":{},"b":{"11":{}}}],["ym1",{"_index":3400,"t":{},"b":{"24":{}}}],["ym2",{"_index":3401,"t":{},"b":{"24":{}}}],["you'd",{"_index":2207,"t":{},"b":{"12":{}}}],["you'r",{"_index":999,"t":{},"b":{"4":{},"7":{},"16":{},"18":{}}}],["you'v",{"_index":993,"t":{},"b":{"4":{},"12":{}}}],["yourself",{"_index":632,"t":{},"b":{"2":{}}}],["ypred",{"_index":995,"t":{},"b":{"4":{},"23":{},"24":{}}}],["ypreds)0.16152078648356502",{"_index":998,"t":{},"b":{"4":{}}}],["ys",{"_index":966,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ys)node",{"_index":2359,"t":{},"b":{"14":{}}}],["ytest",{"_index":1795,"t":{},"b":{"7":{}}}],["yticks(0.4:0.2:1",{"_index":2185,"t":{},"b":{"11":{}}}],["yticks(1.46:0.005:1.475",{"_index":1361,"t":{},"b":{"5":{}}}],["yticks(10:10:50",{"_index":3037,"t":{},"b":{"21":{}}}],["yticks([1",{"_index":2093,"t":{},"b":{"10":{}}}],["yticks(fontsize=12",{"_index":1397,"t":{},"b":{"5":{},"7":{},"15":{},"20":{},"22":{}}}],["ytrain",{"_index":1613,"t":{},"b":{"6":{},"7":{}}}],["ytrain)0.11371237458193979",{"_index":1672,"t":{},"b":{"6":{}}}],["ytrain)machine{mnpip",{"_index":1799,"t":{},"b":{"7":{}}}],["yy",{"_index":3048,"t":{},"b":{"21":{},"22":{}}}],["yy1",{"_index":3093,"t":{},"b":{"21":{}}}],["yy2",{"_index":3095,"t":{},"b":{"21":{}}}],["yy3",{"_index":3097,"t":{},"b":{"21":{}}}],["yy5",{"_index":3145,"t":{},"b":{"21":{}}}],["ŷ(rows=test",{"_index":996,"t":{},"b":{"4":{}}}],["ŷ(rows=test))0.019910338054336767",{"_index":2333,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.05425574766979042",{"_index":2335,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.12278602255214813",{"_index":1005,"t":{},"b":{"4":{}}}],["ŷ[1:3",{"_index":907,"t":{},"b":{"4":{}}}],["ŷ[1:3]3",{"_index":925,"t":{},"b":{"4":{},"20":{}}}],["ŷ[1]ŷ[1",{"_index":2227,"t":{},"b":{"12":{}}}],["ȳ[1",{"_index":2234,"t":{},"b":{"12":{}}}],["z",{"_index":973,"t":{},"b":{"4":{},"13":{},"14":{},"18":{}}}],["zip((mask1",{"_index":2587,"t":{},"b":{"17":{}}}],["zip(sch.nam",{"_index":1516,"t":{},"b":{"6":{},"7":{}}}],["zn",{"_index":180,"t":{},"b":{"1":{},"3":{},"19":{}}}],["zn]]5×2",{"_index":258,"t":{},"b":{"1":{}}}],["ẑ)node",{"_index":2326,"t":{},"b":{"13":{},"14":{}}}],["ẑ.machine.model.lambda",{"_index":2347,"t":{},"b":{"13":{}}}],["ẑ[:lambda",{"_index":2346,"t":{},"b":{"13":{}}}]],"pipeline":["stemmer"]};
 const PREVIEW_LOOKUP = {"0":{"t":"Handling categorical data","l":"/MLJTutorials/data/categorical/index.html"},"1":{"t":"Manipulating a DataFrame","l":"/MLJTutorials/data/dataframe/index.html"},"2":{"t":"Loading and elementary processing of data","l":"/MLJTutorials/data/loading/index.html"},"3":{"t":"Data interpretation: Scientific Types","l":"/MLJTutorials/data/scitype/index.html"},"4":{"t":"AMES","l":"/MLJTutorials/end-to-end/AMES/index.html"},"5":{"t":"Crabs with XGBoost","l":"/MLJTutorials/end-to-end/crabs-xgb/index.html"},"6":{"t":"Horse colic data","l":"/MLJTutorials/end-to-end/horse/index.html"},"7":{"t":"Wine","l":"/MLJTutorials/end-to-end/wine/index.html"},"8":{"t":"Choosing and evaluating a model","l":"/MLJTutorials/getting-started/choosing-a-model/index.html"},"9":{"t":"Composing models","l":"/MLJTutorials/getting-started/composing-models/index.html"},"10":{"t":"Ensemble models","l":"/MLJTutorials/getting-started/ensembles/index.html"},"11":{"t":"Ensemble models (2)","l":"/MLJTutorials/getting-started/ensembles-2/index.html"},"12":{"t":"Fit, predict, transform","l":"/MLJTutorials/getting-started/fit-and-predict/index.html"},"13":{"t":"Learning networks","l":"/MLJTutorials/getting-started/learning-networks/index.html"},"14":{"t":"Learning networks 2","l":"/MLJTutorials/getting-started/learning-networks-2/index.html"},"15":{"t":"Tuning a model","l":"/MLJTutorials/getting-started/model-tuning/index.html"},"16":{"t":"MLJ Tutorials","l":"/MLJTutorials/index.html"},"17":{"t":"Lab 10 - PCA and Clustering","l":"/MLJTutorials/isl/lab-10/index.html"},"18":{"t":"Lab 2","l":"/MLJTutorials/isl/lab-2/index.html"},"19":{"t":"Lab 3 - Linear Regression","l":"/MLJTutorials/isl/lab-3/index.html"},"20":{"t":"Lab 4 - Logistic Regression, LDA, QDA, KNN","l":"/MLJTutorials/isl/lab-4/index.html"},"21":{"t":"Lab 5 - Cross validation and the bootstrap","l":"/MLJTutorials/isl/lab-5/index.html"},"22":{"t":"Lab 6b - Ridge and Lasso regression","l":"/MLJTutorials/isl/lab-6b/index.html"},"23":{"t":"Lab 8 - Tree-based models","l":"/MLJTutorials/isl/lab-8/index.html"},"24":{"t":"Lab 9 - Support Vector Machine","l":"/MLJTutorials/isl/lab-9/index.html"},"25":{"t":"Search ⋅ MLJTutorials","l":"/MLJTutorials/search/index.html"}};
\ No newline at end of file
diff --git a/__site/search/index.html b/__site/search/index.html
index af5a29ad..0ba23732 100644
--- a/__site/search/index.html
+++ b/__site/search/index.html
@@ -1 +1 @@
-        Search ⋅ MLJTutorials     
\ No newline at end of file
+        Search ⋅ MLJTutorials     
\ No newline at end of file
diff --git a/_layout/head.html b/_layout/head.html
index 2f9a7179..d1f3dc38 100644
--- a/_layout/head.html
+++ b/_layout/head.html
@@ -51,9 +51,11 @@
       
  • • Model tuning
    • 
       
  • • Ensembles
    • 
       
  • • Ensembles (2)
    • 
+      
  • • Ensembles (3)
    • 
       
  • • Composing models
    • 
       
  • • Learning networks
    • 
       
  • • Learning networks (2)
    • 
+      
  • • Stacking
    • 
     
     
     
  • Intro to Stats Learning
    • 
diff --git a/_libs/lunr/lunr_index.js b/_libs/lunr/lunr_index.js
index 6ee72bfd..306950f8 100644
--- a/_libs/lunr/lunr_index.js
+++ b/_libs/lunr/lunr_index.js
@@ -1,2 +1,2 @@
-const LUNR_DATA = {"version":"2.3.8","fields":["t","b"],"fieldVectors":[["t/0",[0,2.085,1,0.018,2,0.111]],["b/0",[0,2.657,1,0.036,2,0.204,3,0.023,4,0.032,5,0.024,6,0.024,7,0.039,8,0.023,9,0.024,10,0.024,11,0.023,12,0.023,13,0.024,14,0.024,15,0.023,16,0.28,17,0.023,18,0.023,19,0.023,20,0.023,21,0.084,22,0.163,23,0.023,24,0.092,25,0.084,26,0.024,27,0.024,28,0.398,29,0.035,30,0.023,31,0.023,32,0.023,33,0.023,34,0.023,35,0.023,36,0.031,37,0.033,38,0.023,39,0.023,40,0.023,41,0.024,42,0.023,43,0.074,44,0.074,45,0.074,46,0.093,47,0.126,48,0.126,49,0.126,50,0.074,51,0.126,52,1.016,53,3.759,54,3.759,55,3.759,56,3.759,57,1.868,58,3.095,59,2.33,60,1.959,61,0.107,62,2.657,63,4.463,64,4.725,65,4.819,66,5.702,67,4.694,68,3.759,69,1.367,70,4.725,71,2.33,72,3.095,73,3.095,74,2.657,75,2.33,76,3.095,77,3.34,78,5.168,79,1.852,80,3.89,81,4.03,82,5.422,83,3.653,84,1.11,85,1.852,86,4.254,87,1.594,88,1.666,89,0.813,90,5.168,91,3.759,92,2.29,93,1.239,94,0.809,95,0.159,96,0.809,97,1.359,98,3.759,99,0.407,100,1.852,101,0.722,102,2.657,103,1.259,104,1.852,105,5.168,106,4.725,107,0.618,108,0.902,109,2.069,110,3.759,111,5.702,112,4.03,113,3.361,114,0.809,115,3.759,116,3.759,117,1.852,118,3.759,119,3.759,120,1.526,121,1.016,122,2.33,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024]],["t/1",[136,2.107,137,0.445]],["b/1",[1,0.026,2,0.185,3,0.011,4,0.026,5,0.011,6,0.022,7,0.039,8,0.017,9,0.011,10,0.011,11,0.011,12,0.021,13,0.011,14,0.022,15,0.011,16,0.183,17,0.011,18,0.011,19,0.011,20,0.011,21,0.049,22,0.158,23,0.011,24,0.068,25,0.049,26,0.011,27,0.011,28,0.325,29,0.034,30,0.029,31,0.028,32,0.011,33,0.021,34,0.021,35,0.021,36,0.018,37,0.022,38,0.011,39,0.011,40,0.011,41,0.011,42,0.011,43,0.035,44,0.035,45,0.035,46,0.054,47,0.059,48,0.059,49,0.059,50,0.035,51,0.059,58,1.438,60,1.222,61,0.106,69,0.811,77,2.708,83,1.235,85,2.05,89,0.507,94,1.163,95,0.092,96,0.59,99,0.437,103,0.73,107,0.229,108,0.419,120,1.131,121,0.728,123,0.011,124,0.011,125,0.011,126,0.011,127,0.011,128,0.018,129,0.022,130,0.011,131,0.018,132,0.011,133,0.011,134,0.011,135,0.011,136,1.083,137,0.707,138,1.747,139,1.747,140,1.747,141,1.747,142,1.747,143,1.747,144,1.499,145,1.747,146,1.438,147,1.747,148,0.631,149,1.937,150,1.438,151,1.366,152,1.438,153,1.235,154,1.083,155,1.747,156,1.438,157,1.438,158,1.235,159,0.229,160,1.747,161,1.887,162,0.999,163,1.304,164,0.575,165,0.465,166,0.962,167,1.666,168,1.438,169,1.887,170,1.235,171,1.438,172,0.861,173,0.999,174,1.539,175,1.304,176,0.999,177,1.747,178,1.235,179,3.556,180,3.556,181,3.38,182,2.708,183,2.391,184,1.384,185,2.05,186,2.708,187,2.708,188,2.708,189,2.708,190,2.708,191,2.708,192,2.375,193,3.831,194,0.736,195,0.774,196,1.812,197,1.438,198,1.747,199,2.139,200,1.295,201,2.431,202,3.936,203,3.264,204,3.426,205,1.509,206,2.257,207,2.257,208,2.257,209,2.257,210,2.785,211,2.257,212,3.426,213,2.257,214,2.257,215,3.801,216,1.497,217,3.801,218,2.257,219,2.257,220,2.257,221,2.785,222,2.785,223,2.785,224,2.257,225,2.257,226,3.426,227,1.438,228,1.438,229,1.438,230,1.438,231,1.235,232,3.831,233,1.747,234,1.747,235,1.747,236,1.747,237,1.747,238,1.747,239,1.747,240,1.747,241,1.747,242,1.747,243,0.624,244,1.235,245,1.699,246,1.235,247,0.631,248,1.747,249,0.861,250,3.382,251,2.257,252,1.509,253,1.747,254,1.747,255,1.096,256,1.747,257,2.741,258,1.747,259,1.747,260,1.747,261,2.375,262,2.097,263,2.391,264,1.083,265,1.747,266,2.257,267,2.741,268,1.747,269,0.774,270,1.747,271,1.747,272,1.747,273,1.747,274,0.861,275,1.937,276,1.747,277,1.747,278,1.747,279,1.747,280,1.438,281,2.708,282,1.666,283,1.096,284,1.747,285,2.257,286,4.162,287,3.831,288,2.942,289,1.747,290,1.384,291,1.35,292,1.664,293,2.257,294,1.747,295,2.785,296,2.741,297,1.438,298,2.257,299,2.785,300,1.438,301,1.747,302,1.747,303,2.785,304,2.741,305,1.438,306,1.438,307,1.438,308,1.747,309,1.747,310,1.438,311,1.438,312,1.096,313,1.747,314,1.747,315,1.438,316,1.747,317,1.438,318,1.215,319,1.747,320,1.438,321,1.747,322,1.438,323,1.747,324,1.747,325,1.438,326,1.747,327,1.438,328,1.438,329,1.438,330,2.257,331,1.438,332,1.747,333,1.747,334,1.438,335,1.747,336,1.438,337,1.937,338,1.747,339,1.747,340,1.438,341,1.747,342,1.438,343,1.35,344,1.747,345,1.438,346,1.747,347,1.438,348,1.937,349,1.747,350,1.747,351,1.438,352,1.747,353,1.438,354,2.257,355,1.747,356,1.438,357,1.747,358,1.438,359,1.937,360,0.465,361,1.844,362,1.862,363,0.811,364,1.235,365,1.747,366,1.747,367,1.747,368,1.747,369,1.083,370,1.747,371,1.747,372,1.747,373,1.235,374,1.747,375,2.741,376,1.747,377,1.083,378,0.376,379,1.747,380,1.747,381,1.438,382,1.235,383,3.382,384,1.747,385,1.747,386,1.438,387,2.257,388,1.747,389,1.438,390,0.962,391,1.937,392,1.235,393,1.747,394,1.747,395,1.747,396,1.747,397,1.438,398,1.937,399,1.235,400,1.747,401,1.747,402,1.747,403,0.861,404,1.083,405,0.631,406,1.747,407,2.741,408,1.747,409,1.747,410,1.747,411,1.699,412,1.747,413,1.438,414,1.438,415,1.747,416,1.747,417,1.747,418,1.747,419,1.747,420,1.747,421,1.747,422,1.747,423,1.747,424,1.747,425,1.747,426,1.747,427,3.382,428,1.438,429,1.747,430,1.235,431,1.747,432,1.747,433,1.747,434,3.382,435,1.747,436,1.747,437,1.747,438,1.235,439,1.747,440,1.747,441,0.962,442,1.747,443,1.747,444,0.631,445,1.438,446,1.438,447,1.438,448,2.109,449,1.235,450,1.438,451,1.438,452,2.257,453,2.257,454,3.426,455,2.257,456,4.404,457,1.438,458,1.438,459,2.257,460,2.785,461,3.556,462,1.438,463,0.962,464,1.438,465,1.438,466,1.083,467,3.382,468,1.35,469,1.937,470,0.809,471,1.438,472,1.666,473,1.235,474,1.438,475,1.747,476,1.438,477,1.747,478,1.35,479,1.699,480,1.747,481,3.154,482,3.154,483,2.741,484,1.747,485,0.962,486,2.741,487,1.747,488,1.747,489,1.747,490,1.747,491,1.747,492,1.747,493,1.438,494,1.747,495,1.747,496,0.376,497,3.382,498,1.747,499,1.438,500,1.747,501,1.438,502,0.166,503,1.747,504,2.741,505,0.59,506,1.35,507,0.991,508,2.741,509,1.747,510,1.747,511,2.741,512,2.741,513,1.747,514,1.747,515,1.235,516,0.962,517,0.571,518,2.741,519,2.741,520,1.747,521,2.741,522,2.741,523,2.741,524,2.741,525,0.516,526,1.438,527,1.747,528,1.747,529,1.747,530,1.747,531,1.747,532,1.747,533,1.747,534,1.747,535,1.747,536,1.747,537,1.747,538,1.747,539,1.747,540,1.747,541,1.747]],["t/2",[2,0.098,8,0.016,542,1.841,543,1.283]],["b/2",[1,0.019,2,0.217,3,0.019,4,0.031,5,0.019,6,0.026,7,0.039,8,0.034,9,0.019,10,0.019,11,0.019,12,0.019,13,0.019,14,0.03,15,0.019,16,0.249,17,0.019,18,0.019,19,0.019,20,0.019,21,0.072,22,0.157,23,0.019,24,0.088,25,0.072,26,0.019,27,0.019,28,0.379,29,0.032,30,0.019,31,0.019,32,0.019,33,0.019,34,0.019,35,0.019,36,0.026,37,0.03,38,0.019,39,0.019,40,0.025,41,0.019,42,0.019,43,0.059,44,0.059,45,0.059,46,0.08,47,0.1,48,0.1,49,0.1,50,0.08,51,0.155,60,1.074,61,0.112,85,2.27,89,0.82,93,0.713,94,0.871,95,0.155,96,0.871,97,1.464,99,0.461,108,0.971,120,1.615,121,0.871,122,1.842,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.647,148,1.464,149,2.1,154,1.842,158,2.1,159,0.389,161,2.551,162,1.643,163,0.877,164,0.446,165,1.228,166,1.636,167,1.995,168,2.446,169,1.464,173,0.877,174,1.196,176,1.196,196,1.692,199,1.842,200,1.176,201,3.064,205,1.931,243,0.446,245,1.842,247,1.074,262,1.842,283,1.188,359,2.1,360,1.079,378,0.991,392,3.257,448,1.636,451,2.446,463,1.636,468,1.464,476,2.446,496,0.871,502,0.283,505,0.639,525,0.877,542,2.1,543,1.995,544,2.971,545,2.971,546,2.971,547,2.971,548,2.971,549,2.511,550,2.971,551,1.795,552,1.079,553,1.795,554,4.05,555,2.971,556,5.178,557,3.334,558,1.617,559,2.511,560,1.619,561,2.863,562,2.446,563,2.1,564,1.079,565,1.464,566,1.074,567,2.971,568,2.511,569,4.05,570,2.446,571,2.446,572,2.1,573,2.971,574,1.842,575,2.971,576,0.792,577,2.724,578,2.446,579,4.263,580,2.971,581,2.971,582,2.446,583,2.971,584,4.05,585,3.793,586,2.971,587,2.971,588,2.971,589,5.846,590,2.971,591,2.971,592,2.971,593,2.971,594,2.971,595,2.971,596,2.971,597,2.971,598,2.971,599,2.971,600,2.971,601,2.971,602,2.971,603,2.971,604,2.971,605,2.971,606,2.971,607,3.498,608,2.971,609,2.971,610,2.971,611,5.343,612,2.971,613,2.863,614,2.971,615,2.971,616,2.971,617,1.636,618,2.971,619,2.971,620,2.971,621,1.842,622,4.05,623,1.317,624,2.971,625,2.971,626,2.446,627,4.502,628,1.636,629,1.464,630,1.842,631,1.317,632,2.971,633,2.971,634,2.971,635,1.074,636,2.446,637,1.842,638,4.05,639,3.334,640,2.446,641,2.971,642,2.1,643,1.464,644,2.971,645,4.05,646,2.971,647,4.05,648,4.05,649,4.05,650,4.05,651,4.05,652,4.05,653,4.05,654,4.05,655,2.446,656,4.05,657,2.971,658,2.971,659,2.971,660,2.971,661,2.971,662,2.971,663,2.971,664,2.971,665,2.971,666,4.05,667,2.971,668,2.971,669,2.971,670,2.971,671,2.971,672,2.971,673,2.971,674,2.971,675,2.971,676,2.971,677,2.971,678,2.971]],["t/3",[2,0.098,11,0.016,12,0.016,679,0.941]],["b/3",[1,0.033,2,0.217,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.017,9,0.017,10,0.017,11,0.035,12,0.037,13,0.017,14,0.017,15,0.023,16,0.235,17,0.017,18,0.017,19,0.017,20,0.017,21,0.067,22,0.14,23,0.017,24,0.077,25,0.067,26,0.017,27,0.017,28,0.369,29,0.017,30,0.017,31,0.017,32,0.017,33,0.017,34,0.017,35,0.017,36,0.024,37,0.028,38,0.017,39,0.017,40,0.017,41,0.017,42,0.017,43,0.053,44,0.053,45,0.053,46,0.074,47,0.089,48,0.089,49,0.089,50,0.053,51,0.089,52,0.807,59,1.65,60,1.958,61,0.107,65,3.09,67,3.579,69,0.9,74,1.882,80,3.579,84,1.394,85,1.312,87,1.158,89,0.747,92,1.18,93,0.9,94,0.935,95,0.089,96,0.573,99,0.343,100,1.312,103,1,108,0.638,112,1.882,113,2.327,114,0.573,121,0.807,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.024,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,159,0.675,161,1.849,162,1.108,165,0.709,166,1.465,174,1.284,176,0.786,179,2.653,180,2.653,181,2.653,182,3.65,183,2.653,184,1.356,185,1.849,186,2.653,187,3.751,188,3.65,189,2.653,190,2.653,191,2.653,192,2.327,195,1.926,200,1.29,201,2.983,205,0.87,243,0.563,266,2.192,275,1.882,290,1.356,360,1,363,1.272,377,2.327,378,0.935,391,3.073,405,1.356,468,1.312,470,0.786,472,1.312,473,1.882,485,1.465,493,3.09,502,0.254,505,0.935,506,1.849,507,0.962,525,0.786,558,0.87,559,1.65,560,1.501,561,1.882,563,1.882,564,1,565,0.962,576,0.709,582,3.09,607,3.518,617,1.465,679,2.141,680,3.753,681,2.662,682,2.662,683,2.662,684,2.662,685,2.662,686,2.662,687,2.662,688,2.662,689,2.192,690,1.312,691,2.662,692,1.18,693,1.108,694,3.359,695,4.72,696,1.465,697,2.34,698,2.653,699,2.662,700,3.83,701,2.092,702,2.662,703,3.753,704,2.653,705,1.501,706,1,707,1.795,708,1.064,709,2.662,710,2.662,711,1.882,712,2.662,713,2.662,714,2.653,715,2.192,716,3.09,717,2.662,718,2.662,719,1.882,720,3.753,721,2.192,722,3.073,723,3.201,724,2.662,725,3.09,726,3.579,727,2.695,728,2.192,729,2.662,730,2.662,731,2.662,732,2.662,733,2.662,734,2.662,735,1.18,736,2.662,737,2.662,738,1.65,739,2.662,740,4.72,741,4.72,742,4.72,743,4.72,744,3.886,745,2.192,746,2.662,747,2.662,748,2.192,749,1.882,750,0.87,751,2.192,752,1.465,753,2.662,754,2.662,755,2.74,756,2.662,757,3.579,758,1.312,759,2.662,760,2.662,761,2.327,762,2.662,763,3.753,764,2.662,765,2.662,766,2.662,767,2.662,768,2.662,769,2.662,770,2.192,771,2.662,772,2.066,773,2.662,774,2.662,775,2.662,776,2.662,777,2.192,778,2.662,779,2.653,780,2.192,781,4.097,782,2.192,783,3.09,784,2.192,785,3.753,786,0.87,787,2.662,788,1.882,789,2.192,790,1.882,791,1.65,792,2.662,793,2.192,794,2.662,795,3.09,796,2.662,797,3.09,798,2.192,799,2.662,800,2.662]],["t/4",[38,0.025]],["b/4",[1,0.027,2,0.195,3,0.021,4,0.021,5,0.015,6,0.015,7,0.039,8,0.029,9,0.015,10,0.015,11,0.014,12,0.014,13,0.015,14,0.026,15,0.014,16,0.321,17,0.032,18,0.031,19,0.032,20,0.035,21,0.06,22,0.138,23,0.014,24,0.092,25,0.087,26,0.015,27,0.015,28,0.354,29,0.027,30,0.021,31,0.029,32,0.014,33,0.021,34,0.014,35,0.025,36,0.028,37,0.015,38,0.025,39,0.014,40,0.014,41,0.015,42,0.014,43,0.045,44,0.045,45,0.045,46,0.066,47,0.077,48,0.077,49,0.077,50,0.045,51,0.077,52,1.054,57,1.215,60,0.826,61,0.109,69,1.055,79,1.126,81,1.615,84,0.675,85,1.126,89,0.66,93,0.548,94,0.946,95,0.158,96,0.723,97,1.215,99,0.18,101,0.439,103,0.609,107,0.641,117,1.126,121,0.491,123,0.015,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.015,130,0.015,131,0.015,132,0.015,133,0.015,134,0.015,135,0.015,137,0.299,144,1.013,148,0.826,151,1.063,157,1.881,159,0.44,162,0.675,163,0.675,164,0.343,169,1.126,172,1.656,175,0.675,194,0.766,200,1.054,201,2.196,216,0.609,243,0.703,247,0.826,249,1.126,255,1.595,269,1.768,274,1.965,312,0.914,318,1.013,343,1.126,361,1.013,362,1.851,363,0.806,369,1.417,404,1.417,405,1.215,438,1.615,444,0.826,445,1.881,447,2.768,448,1.258,466,1.417,496,0.491,499,1.881,502,0.32,505,0.946,507,0.826,517,0.747,525,0.675,526,1.881,552,0.609,553,1.013,563,1.615,564,0.896,576,1.172,623,1.013,629,1.965,631,1.013,635,1.215,690,1.965,693,1.178,697,1.595,706,0.609,707,1.536,708,1.96,750,1.099,758,1.126,797,1.881,801,2.285,802,2.285,803,2.285,804,2.497,805,2.285,806,3.362,807,2.285,808,2.376,809,2.285,810,2.285,811,0.675,812,3.362,813,2.285,814,1.615,815,2.196,816,3.362,817,1.615,818,1.615,819,2.376,820,2.285,821,3.362,822,0.675,823,0.467,824,0.694,825,1.881,826,1.247,827,1.881,828,1.417,829,1.881,830,2.285,831,2.285,832,2.285,833,2.285,834,2.285,835,2.285,836,2.285,837,2.285,838,2.285,839,2.285,840,2.285,841,2.285,842,2.285,843,3.362,844,2.285,845,2.285,846,2.285,847,4.687,848,2.285,849,2.285,850,3.362,851,3.989,852,2.285,853,3.362,854,2.285,855,2.285,856,2.285,857,2.285,858,2.285,859,2.285,860,1.881,861,2.285,862,2.285,863,2.285,864,2.285,865,2.285,866,2.285,867,2.285,868,1.441,869,1.881,870,2.285,871,2.285,872,2.285,873,2.285,874,2.285,875,0.973,876,1.258,877,2.285,878,1.656,879,1.258,880,1.656,881,1.615,882,3.989,883,2.285,884,2.285,885,2.285,886,2.285,887,2.285,888,0.826,889,1.656,890,1.881,891,1.008,892,1.881,893,2.285,894,2.285,895,2.285,896,2.285,897,2.285,898,0.896,899,0.826,900,1.881,901,1.013,902,2.285,903,2.285,904,2.077,905,2.285,906,1.759,907,2.285,908,2.285,909,3.989,910,3.362,911,1.615,912,2.196,913,1.126,914,1.881,915,1.881,916,2.768,917,1.099,918,1.881,919,1.417,920,1.881,921,2.285,922,2.285,923,2.285,924,2.285,925,1.881,926,3.989,927,1.417,928,1.881,929,2.285,930,2.285,931,1.258,932,1.126,933,2.285,934,2.285,935,2.173,936,3.362,937,1.344,938,1.615,939,2.285,940,1.595,941,2.309,942,4.687,943,1.126,944,1.615,945,2.285,946,2.376,947,2.285,948,1.615,949,2.084,950,2.285,951,2.285,952,1.656,953,2.084,954,2.768,955,1.851,956,2.768,957,2.768,958,2.768,959,1.249,960,2.084,961,2.285,962,1.881,963,3.109,964,3.142,965,2.376,966,2.819,967,2.376,968,1.615,969,2.285,970,3.465,971,3.362,972,2.755,973,3.604,974,3.362,975,3.362,976,3.362,977,1.344,978,2.285,979,2.285,980,2.376,981,2.768,982,1.881,983,2.285,984,2.285,985,2.285,986,1.881,987,3.362,988,3.362,989,3.362,990,1.881,991,1.417,992,3.989,993,1.881,994,2.819,995,1.615,996,2.285,997,4.398,998,2.285,999,1.417,1000,1.258,1001,2.285,1002,3.362,1003,2.285,1004,1.013,1005,2.285,1006,1.881,1007,2.285,1008,1.881,1009,1.881,1010,2.376,1011,3.362,1012,1.881,1013,2.285,1014,1.881,1015,2.285,1016,0.609,1017,2.285,1018,1.881,1019,1.881,1020,2.819,1021,2.285,1022,2.768,1023,2.285,1024,1.615,1025,1.881,1026,3.362,1027,2.768,1028,1.881,1029,1.881,1030,1.126,1031,1.881,1032,2.376,1033,2.285,1034,2.285,1035,3.621,1036,1.417,1037,2.285,1038,1.615,1039,3.362,1040,1.881,1041,2.285,1042,1.881,1043,1.013,1044,2.084,1045,1.881,1046,2.285,1047,2.285,1048,3.362,1049,2.285,1050,2.285,1051,3.362,1052,2.768,1053,2.285,1054,2.285,1055,1.258,1056,3.989,1057,1.013,1058,2.285,1059,2.285,1060,2.768,1061,3.989,1062,2.285,1063,1.881,1064,1.615,1065,2.376,1066,3.362,1067,1.881,1068,1.013,1069,1.615,1070,2.285,1071,1.615,1072,2.285,1073,2.285,1074,2.285,1075,2.285,1076,4.687,1077,3.362,1078,3.362,1079,3.362,1080,1.881,1081,0.896,1082,2.285,1083,1.851,1084,0.826,1085,2.285,1086,2.376,1087,2.285,1088,0.826,1089,2.285,1090,2.285,1091,2.285,1092,2.285,1093,2.285,1094,1.615,1095,2.285,1096,2.285,1097,1.417,1098,1.595,1099,1.417,1100,2.376,1101,1.851,1102,1.851,1103,1.615,1104,1.881,1105,0.747,1106,0.914,1107,2.285,1108,0.914,1109,1.615,1110,2.285,1111,2.285,1112,1.615,1113,1.615,1114,1.258,1115,1.126,1116,1.851,1117,1.615,1118,1.615,1119,2.285,1120,1.49,1121,0.826,1122,1.013,1123,1.344,1124,2.285,1125,1.615,1126,2.285,1127,3.362,1128,2.285,1129,1.881,1130,2.285,1131,1.258,1132,2.285]],["t/5",[40,0.021,1133,2.403]],["b/5",[1,0.017,2,0.178,3,0.023,4,0.023,5,0.017,6,0.017,7,0.039,8,0.027,9,0.017,10,0.017,11,0.017,12,0.017,13,0.017,14,0.017,15,0.017,16,0.28,17,0.017,18,0.017,19,0.017,20,0.035,21,0.067,22,0.133,23,0.017,24,0.084,25,0.067,26,0.017,27,0.017,28,0.369,29,0.032,30,0.017,31,0.023,32,0.017,33,0.017,34,0.017,35,0.017,36,0.024,37,0.024,38,0.017,39,0.017,40,0.027,41,0.032,42,0.017,43,0.053,44,0.053,45,0.053,46,0.075,47,0.09,48,0.09,49,0.09,50,0.053,51,0.09,57,0.968,61,0.107,62,1.893,79,1.319,84,0.791,92,1.187,94,0.576,95,0.182,99,0.344,107,0.35,114,0.811,122,2.336,123,0.017,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.017,133,0.017,134,0.017,135,0.017,137,0.35,159,0.493,162,1.288,163,0.791,164,0.402,167,1.319,172,1.319,173,0.791,175,0.791,194,0.724,200,1.073,205,1.63,216,1.329,251,2.205,282,1.319,312,1.071,378,0.576,405,0.968,414,2.205,441,1.474,496,1.113,501,2.205,505,1.073,507,0.968,549,1.66,566,1.71,576,1.162,628,1.474,631,1.187,637,1.66,696,1.474,706,0.714,707,1.528,708,1.507,714,1.893,735,1.187,745,2.205,750,1.425,758,1.857,782,2.205,786,1.232,811,0.791,818,1.893,822,0.791,823,0.493,824,0.652,825,2.205,826,1.323,827,2.205,828,1.66,829,2.205,869,3.103,876,1.474,888,0.968,891,0.811,898,1.162,899,0.968,900,2.205,901,1.187,906,1.071,917,1.232,938,1.893,948,1.893,960,1.66,1008,2.205,1016,0.714,1035,2.205,1055,1.474,1069,2.664,1088,1.362,1106,1.507,1120,1.67,1121,1.362,1122,1.67,1123,1.071,1125,2.664,1133,3.526,1134,2.678,1135,2.678,1136,2.678,1137,2.678,1138,2.678,1139,2.678,1140,2.678,1141,1.66,1142,1.187,1143,0.714,1144,2.678,1145,2.678,1146,4.733,1147,2.678,1148,3.769,1149,2.678,1150,2.678,1151,2.678,1152,2.678,1153,2.678,1154,2.678,1155,2.678,1156,2.678,1157,3.103,1158,2.678,1159,2.678,1160,3.769,1161,2.678,1162,2.678,1163,2.678,1164,2.678,1165,2.678,1166,2.678,1167,1.474,1168,2.678,1169,2.678,1170,3.769,1171,2.205,1172,2.678,1173,2.205,1174,2.205,1175,2.678,1176,2.664,1177,2.678,1178,2.678,1179,4.361,1180,2.678,1181,2.678,1182,2.678,1183,2.678,1184,3.083,1185,2.075,1186,3.769,1187,2.678,1188,4.361,1189,4.361,1190,2.678,1191,2.678,1192,2.678,1193,2.336,1194,2.678,1195,2.205,1196,2.678,1197,2.678,1198,2.678,1199,2.678,1200,2.678,1201,2.678,1202,2.678,1203,2.678,1204,2.678,1205,2.678,1206,2.678,1207,2.678,1208,2.678,1209,1.892,1210,2.678,1211,2.678,1212,2.678,1213,2.678,1214,2.678,1215,2.678,1216,2.678,1217,2.678,1218,1.474,1219,2.678,1220,2.678,1221,1.893,1222,2.678,1223,2.664,1224,2.678,1225,2.678,1226,2.678,1227,2.678,1228,2.205,1229,1.187,1230,2.205,1231,1.893,1232,2.205,1233,3.769,1234,3.769,1235,2.678,1236,2.678,1237,1.893,1238,3.59,1239,1.071,1240,3.083,1241,5.174,1242,2.678,1243,2.678,1244,3.769,1245,1.893,1246,3.103,1247,2.678,1248,2.678,1249,2.678,1250,0.968,1251,2.678,1252,2.205,1253,2.678,1254,2.205,1255,2.678,1256,2.678,1257,2.678,1258,2.678,1259,2.678,1260,2.678,1261,2.205,1262,2.678,1263,2.678,1264,2.678,1265,2.678,1266,2.678,1267,2.678,1268,2.678,1269,2.678,1270,2.678,1271,2.678,1272,2.678,1273,2.678,1274,2.678,1275,2.678,1276,2.678,1277,2.678,1278,2.678,1279,2.678,1280,2.678,1281,2.678,1282,2.678,1283,2.678,1284,2.678,1285,2.678,1286,2.678,1287,2.678,1288,2.678,1289,2.678,1290,2.678,1291,2.678,1292,2.678,1293,2.678,1294,2.678,1295,2.678,1296,2.678,1297,2.678,1298,2.678,1299,2.678,1300,3.103,1301,2.678,1302,2.678,1303,2.678,1304,2.678,1305,2.678,1306,2.678,1307,2.678,1308,2.678,1309,2.678,1310,2.678,1311,2.678,1312,2.678,1313,2.678,1314,2.678,1315,2.678,1316,2.678,1317,2.678,1318,2.678,1319,2.678,1320,2.678,1321,2.678,1322,2.678,1323,2.678,1324,2.678,1325,2.678,1326,2.678,1327,2.678,1328,2.678,1329,2.678,1330,2.678,1331,2.678,1332,2.678,1333,2.678,1334,2.678,1335,2.678,1336,2.678,1337,2.678,1338,2.678,1339,2.678,1340,2.678,1341,2.678,1342,2.678,1343,2.678,1344,2.678,1345,2.678,1346,2.678,1347,2.678,1348,2.678,1349,2.678,1350,2.678,1351,1.232,1352,1.288,1353,2.678,1354,2.678,1355,1.66,1356,1.87,1357,2.678,1358,2.205,1359,1.893,1360,1.744,1361,2.678,1362,2.678,1363,2.678,1364,2.336,1365,2.205,1366,3.769,1367,1.893,1368,3.103,1369,2.678,1370,3.103,1371,3.769,1372,2.205,1373,3.769,1374,3.103,1375,2.678,1376,3.769,1377,3.083,1378,3.769,1379,2.205,1380,2.678,1381,1.66,1382,1.893,1383,1.474,1384,1.66,1385,2.205,1386,3.103,1387,2.336,1388,2.678,1389,3.769,1390,3.769,1391,3.769,1392,2.678,1393,2.336,1394,2.205,1395,2.678,1396,2.678,1397,2.075,1398,1.893,1399,2.205,1400,2.678,1401,2.678,1402,2.678,1403,2.678,1404,3.769,1405,2.205,1406,2.678,1407,1.893,1408,2.075,1409,2.678,1410,2.075,1411,3.769,1412,2.678,1413,2.664,1414,2.678,1415,2.678,1416,3.769,1417,2.336,1418,2.678,1419,2.678,1420,2.678,1421,0.875,1422,2.678,1423,3.769,1424,2.678,1425,2.678,1426,2.664,1427,2.678,1428,1.66,1429,2.678,1430,2.678,1431,2.678,1432,2.678,1433,2.678,1434,2.678,1435,2.205,1436,2.678,1437,1.319]],["t/6",[2,0.111,42,0.018,1438,2.428]],["b/6",[0,2.546,1,0.026,2,0.217,3,0.026,4,0.029,5,0.016,6,0.023,7,0.039,8,0.03,9,0.016,10,0.016,11,0.022,12,0.026,13,0.027,14,0.016,15,0.016,16,0.289,17,0.016,18,0.016,19,0.016,20,0.026,21,0.064,22,0.119,23,0.016,24,0.086,25,0.064,26,0.016,27,0.016,28,0.363,29,0.022,30,0.016,31,0.016,32,0.016,33,0.016,34,0.016,35,0.029,36,0.023,37,0.023,38,0.016,39,0.016,40,0.016,41,0.016,42,0.026,43,0.05,44,0.05,45,0.05,46,0.071,47,0.084,48,0.084,49,0.084,50,0.05,51,0.084,52,0.775,57,0.908,61,0.1,69,0.603,75,1.558,76,2.069,84,0.742,87,0.67,88,1.114,89,0.377,93,0.603,95,0.19,96,0.989,97,0.908,100,1.238,104,1.238,107,0.551,108,0.864,109,1.983,114,0.775,117,1.238,120,1.605,121,1.148,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.329,144,1.114,148,0.908,151,0.67,156,2.069,162,0.742,163,0.742,164,0.54,173,0.742,174,1.576,176,1.358,185,2.266,194,0.483,195,2.038,196,1.376,216,1.39,231,1.776,243,0.54,252,1.383,262,1.558,275,3.581,281,2.546,282,1.238,292,1.005,359,1.776,360,0.67,363,1.215,378,0.541,387,2.069,390,1.383,403,1.775,438,2.976,444,1.302,470,1.064,472,1.238,478,1.238,496,0.541,502,0.239,505,1.122,525,1.438,543,1.775,560,1.44,564,0.67,565,1.302,570,2.069,574,1.558,576,0.67,577,1.383,579,2.069,627,2.069,628,1.383,629,2.075,636,2.069,639,2.069,640,2.069,642,1.776,655,2.069,679,0.908,689,2.069,693,1.064,697,1.947,700,2.546,705,1.44,707,1.438,716,2.069,721,2.069,722,2.546,725,2.069,735,1.596,738,1.558,750,1.177,755,1.383,772,1.383,777,2.069,779,2.976,781,3.467,784,2.069,786,0.821,789,2.966,790,1.776,798,3.786,811,0.742,823,0.239,824,0.602,826,1.01,868,0.908,876,1.383,891,1.122,892,4.008,898,1.225,911,1.776,937,1.005,938,1.776,941,1.775,959,1.225,991,2.233,1000,2.318,1036,1.558,1042,2.069,1055,2.318,1057,1.114,1064,1.776,1065,1.776,1068,1.114,1081,0.67,1084,1.522,1088,0.908,1097,1.558,1098,1.44,1105,1.376,1108,1.005,1120,1.114,1121,0.908,1122,1.114,1167,1.383,1173,2.069,1176,1.776,1184,2.546,1209,1.005,1231,2.546,1250,0.908,1254,2.069,1261,2.069,1351,1.376,1359,1.776,1377,2.546,1382,2.546,1407,1.776,1408,1.983,1410,1.383,1438,2.966,1439,2.069,1440,2.513,1441,2.513,1442,2.513,1443,2.851,1444,2.513,1445,2.513,1446,2.069,1447,2.069,1448,2.513,1449,2.966,1450,2.069,1451,2.513,1452,2.966,1453,3.602,1454,3.602,1455,2.513,1456,2.513,1457,2.513,1458,3.602,1459,3.602,1460,4.211,1461,4.869,1462,4.211,1463,4.211,1464,4.599,1465,4.211,1466,4.211,1467,4.211,1468,4.211,1469,4.211,1470,4.599,1471,4.599,1472,4.599,1473,4.599,1474,4.599,1475,4.211,1476,4.211,1477,4.599,1478,4.599,1479,4.211,1480,3.602,1481,3.602,1482,3.602,1483,4.211,1484,4.211,1485,2.513,1486,2.513,1487,2.513,1488,3.602,1489,2.513,1490,2.513,1491,2.513,1492,2.069,1493,2.966,1494,2.513,1495,2.513,1496,2.513,1497,2.513,1498,3.602,1499,2.513,1500,2.513,1501,3.602,1502,2.069,1503,2.513,1504,2.513,1505,2.513,1506,2.069,1507,3.786,1508,2.513,1509,2.513,1510,1.776,1511,3.602,1512,5.338,1513,2.513,1514,2.546,1515,2.513,1516,2.069,1517,2.069,1518,1.776,1519,2.546,1520,3.602,1521,4.879,1522,4.869,1523,2.513,1524,4.869,1525,3.602,1526,2.513,1527,2.513,1528,2.513,1529,2.513,1530,2.513,1531,2.513,1532,1.776,1533,3.602,1534,2.546,1535,3.602,1536,2.851,1537,2.513,1538,2.513,1539,3.602,1540,2.513,1541,2.513,1542,2.513,1543,1.776,1544,3.467,1545,1.983,1546,1.558,1547,1.776,1548,2.513,1549,2.233,1550,2.069,1551,2.513,1552,1.776,1553,3.602,1554,2.513,1555,4.211,1556,2.513,1557,2.513,1558,2.069,1559,2.069,1560,2.513,1561,2.513,1562,2.233,1563,2.513,1564,2.513,1565,2.513,1566,2.513,1567,2.513,1568,2.513,1569,2.513,1570,2.513,1571,2.513,1572,2.513,1573,2.513,1574,3.602,1575,2.513,1576,2.513,1577,2.513,1578,2.513,1579,2.513,1580,2.513,1581,2.513,1582,2.513,1583,2.513,1584,2.513,1585,1.776,1586,2.513,1587,2.513,1588,2.266,1589,2.513,1590,2.513,1591,2.513,1592,2.513,1593,2.069,1594,2.513,1595,2.513,1596,2.513,1597,2.513,1598,2.513,1599,2.513,1600,2.069,1601,2.069,1602,1.44,1603,2.976,1604,2.513,1605,2.233,1606,2.966,1607,1.983,1608,2.966,1609,2.233,1610,2.513,1611,4.296,1612,2.513,1613,4.394,1614,2.513,1615,1.177,1616,1.238,1617,2.513,1618,2.546,1619,1.558,1620,2.513,1621,2.513,1622,2.069,1623,1.776,1624,2.513,1625,2.976,1626,2.513,1627,1.238,1628,2.513,1629,1.983,1630,1.776,1631,2.069,1632,4.171,1633,2.069,1634,2.966,1635,3.602,1636,3.602,1637,2.513,1638,1.383,1639,1.383,1640,2.513,1641,2.513,1642,2.513,1643,2.069,1644,2.513,1645,2.513,1646,2.513,1647,2.513,1648,2.513,1649,2.513,1650,2.513,1651,2.513,1652,2.513,1653,1.776,1654,2.069,1655,1.776,1656,2.513,1657,2.546,1658,2.513,1659,2.513,1660,2.513,1661,3.602,1662,2.513,1663,2.513,1664,2.069,1665,1.558,1666,1.776,1667,2.513,1668,2.513,1669,2.513,1670,2.513,1671,2.513,1672,2.513,1673,2.513]],["t/7",[39,0.025]],["b/7",[1,0.016,2,0.217,3,0.022,4,0.026,5,0.016,6,0.016,7,0.039,8,0.03,9,0.016,10,0.016,11,0.03,12,0.03,13,0.027,14,0.023,15,0.016,16,0.274,17,0.022,18,0.016,19,0.016,20,0.022,21,0.064,22,0.147,23,0.016,24,0.082,25,0.064,26,0.016,27,0.016,28,0.363,29,0.029,30,0.022,31,0.026,32,0.016,33,0.022,34,0.022,35,0.033,36,0.027,37,0.023,38,0.016,39,0.033,40,0.016,41,0.016,42,0.016,43,0.071,44,0.05,45,0.05,46,0.071,47,0.084,48,0.121,49,0.084,50,0.05,51,0.084,61,0.103,69,0.603,81,1.776,84,1.243,87,0.67,88,1.114,92,1.114,95,0.188,96,0.775,97,1.662,99,0.362,100,1.238,101,0.809,107,0.683,108,1.01,113,1.558,114,0.906,120,0.742,121,0.906,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.023,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.329,148,1.302,151,1.122,153,1.776,162,1.243,163,1.243,164,0.632,170,1.776,174,1.064,175,1.064,176,1.243,194,0.483,196,0.821,199,1.005,200,0.775,216,0.96,243,0.69,246,1.776,247,0.908,269,1.596,274,1.238,282,1.238,283,1.005,290,1.302,291,1.775,292,1.44,312,1.44,318,1.114,337,1.776,343,1.238,348,2.546,363,1.251,378,0.775,386,2.069,390,1.983,399,1.776,444,0.908,496,0.541,502,0.343,517,0.821,525,1.064,543,1.238,551,1.114,552,1.297,553,1.114,557,2.069,558,1.177,564,0.96,565,0.908,571,2.069,572,1.776,576,1.35,577,1.383,617,1.983,630,1.558,631,1.114,642,1.776,679,1.302,693,1.243,696,2.872,697,1.839,700,3.251,704,1.776,705,1.44,707,1.704,711,1.776,719,1.776,722,1.776,723,1.558,738,1.558,750,1.177,786,1.503,791,1.558,808,2.546,811,1.064,823,0.239,824,0.329,868,1.302,875,0.483,876,2.318,878,1.238,880,1.376,888,0.908,891,1.186,898,1.35,901,1.114,917,1.376,931,1.383,932,1.775,935,1.596,943,1.238,959,0.96,972,1.775,991,1.558,999,1.558,1004,1.114,1016,0.67,1030,1.238,1043,1.866,1045,2.069,1055,1.383,1057,1.114,1080,2.069,1081,0.67,1098,1.005,1105,0.821,1143,0.67,1167,1.383,1184,1.776,1223,1.776,1229,1.114,1230,2.069,1237,1.776,1351,1.376,1356,1.302,1360,1.005,1377,1.776,1383,1.383,1397,1.383,1408,1.383,1410,1.983,1421,0.821,1428,1.558,1439,2.069,1443,2.61,1446,2.069,1450,2.069,1452,2.069,1493,2.069,1506,2.069,1516,2.069,1517,2.069,1518,1.776,1519,1.776,1521,2.069,1534,1.776,1536,2.233,1545,1.383,1546,2.233,1549,1.558,1588,1.238,1600,2.069,1602,1.947,1603,2.976,1605,1.558,1606,2.069,1607,1.383,1608,2.069,1609,1.558,1611,4.394,1613,4.296,1615,1.503,1618,1.776,1619,1.558,1622,2.069,1623,2.546,1627,1.775,1629,2.318,1632,4.394,1634,2.966,1639,1.383,1654,2.069,1674,2.513,1675,2.513,1676,2.513,1677,2.513,1678,2.513,1679,2.513,1680,2.513,1681,2.513,1682,2.513,1683,2.513,1684,2.513,1685,2.069,1686,2.513,1687,2.513,1688,2.513,1689,2.513,1690,2.513,1691,4.211,1692,4.211,1693,4.211,1694,5.067,1695,4.211,1696,4.599,1697,4.211,1698,5.067,1699,4.211,1700,4.211,1701,4.211,1702,4.211,1703,4.211,1704,4.211,1705,4.211,1706,4.211,1707,4.599,1708,2.513,1709,2.513,1710,3.602,1711,2.069,1712,2.513,1713,2.069,1714,2.513,1715,2.069,1716,2.069,1717,2.069,1718,2.069,1719,2.069,1720,2.069,1721,2.069,1722,2.513,1723,2.513,1724,2.513,1725,2.513,1726,2.513,1727,2.513,1728,2.513,1729,2.069,1730,2.513,1731,2.966,1732,1.383,1733,2.513,1734,2.513,1735,2.069,1736,2.069,1737,1.776,1738,2.513,1739,2.513,1740,2.513,1741,2.513,1742,2.513,1743,2.513,1744,2.513,1745,2.513,1746,2.513,1747,2.513,1748,2.513,1749,2.513,1750,2.513,1751,2.513,1752,2.513,1753,2.513,1754,2.513,1755,2.513,1756,2.513,1757,2.513,1758,2.513,1759,2.513,1760,2.513,1761,2.513,1762,2.513,1763,2.513,1764,2.513,1765,2.513,1766,2.513,1767,2.513,1768,2.513,1769,1.776,1770,2.513,1771,1.776,1772,2.513,1773,1.775,1774,2.513,1775,2.513,1776,2.069,1777,1.776,1778,2.546,1779,2.513,1780,2.513,1781,2.513,1782,2.513,1783,2.513,1784,2.513,1785,2.513,1786,2.069,1787,2.966,1788,2.513,1789,2.513,1790,1.114,1791,2.513,1792,3.602,1793,4.211,1794,3.602,1795,4.211,1796,2.513,1797,2.513,1798,2.513,1799,2.513,1800,2.513,1801,2.513,1802,4.211,1803,2.069,1804,2.513,1805,2.513,1806,2.513,1807,1.383,1808,2.513,1809,3.602,1810,2.513,1811,3.602,1812,3.602,1813,2.513,1814,2.513,1815,3.602,1816,2.513,1817,3.602,1818,2.069,1819,2.513,1820,2.513,1821,2.513,1822,1.776,1823,2.069,1824,2.851,1825,2.966,1826,2.069,1827,1.776,1828,2.513,1829,2.513,1830,2.513,1831,2.966,1832,2.069,1833,2.513,1834,2.513,1835,2.513,1836,1.238,1837,2.513,1838,1.114,1839,2.513,1840,2.513,1841,2.513,1842,2.513,1843,2.069,1844,2.513,1845,2.513,1846,4.211,1847,1.866,1848,2.069,1849,2.513,1850,2.513,1851,2.513,1852,2.513,1853,2.513,1854,2.069,1855,2.069,1856,2.966,1857,2.069,1858,2.513,1859,2.513,1860,2.513,1861,2.513,1862,2.513,1863,1.776,1864,2.513,1865,2.513,1866,2.513,1867,2.513,1868,2.513,1869,2.513,1870,2.513,1871,2.513,1872,2.513,1873,1.383,1874,2.513]],["t/8",[15,0.018,16,0.16,1004,1.307]],["b/8",[1,0.019,2,0.212,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.035,9,0.019,10,0.019,11,0.035,12,0.036,13,0.019,14,0.019,15,0.029,16,0.321,17,0.025,18,0.019,19,0.019,20,0.019,21,0.072,22,0.139,23,0.019,24,0.088,25,0.072,26,0.019,27,0.019,28,0.379,29,0.025,30,0.019,31,0.025,32,0.019,33,0.019,34,0.019,35,0.019,36,0.03,37,0.026,38,0.019,39,0.019,40,0.019,41,0.019,42,0.019,43,0.059,44,0.059,45,0.059,46,0.08,47,0.1,48,0.1,49,0.1,50,0.059,51,0.1,61,0.108,87,0.793,89,0.777,93,0.714,94,1.114,95,0.155,96,0.872,97,1.465,99,0.363,101,0.572,102,2.104,103,1.08,109,1.639,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.389,159,0.603,165,0.793,173,0.879,174,1.53,175,0.879,176,1.53,194,0.572,200,1.258,243,0.777,246,2.866,247,1.076,283,1.621,360,1.08,369,1.845,377,1.845,378,1.065,398,2.104,441,1.639,448,2.232,449,2.104,450,2.45,452,3.797,453,3.797,454,4.266,455,4.401,456,4.266,457,3.797,458,3.797,459,4.077,460,4.401,461,3.26,462,2.45,463,1.639,464,2.45,465,2.45,466,1.845,470,0.879,472,1.466,479,1.845,502,0.284,505,0.64,507,1.076,558,1.618,564,0.793,626,2.45,643,1.466,679,1.667,693,0.879,701,1.797,706,0.793,707,1.715,708,1.19,711,2.104,723,1.845,727,1.845,752,1.639,755,1.639,772,1.639,795,2.45,818,2.104,823,0.439,824,0.648,828,2.514,868,1.667,875,0.572,878,2.272,880,0.973,890,2.45,911,2.104,912,1.639,913,1.998,917,0.973,937,1.19,943,1.466,952,1.466,953,2.514,955,1.639,959,1.229,960,1.845,977,1.19,1004,1.319,1010,2.866,1030,1.466,1043,1.319,1057,1.319,1098,1.621,1105,0.973,1133,2.104,1167,1.639,1176,2.104,1193,1.845,1229,2.195,1351,1.325,1519,2.866,1602,1.19,1603,2.104,1607,1.639,1685,2.45,1778,2.104,1875,2.977,1876,2.977,1877,2.977,1878,2.977,1879,2.977,1880,2.977,1881,2.45,1882,3.338,1883,2.104,1884,4.055,1885,2.977,1886,2.977,1887,2.977,1888,2.977,1889,3.338,1890,2.45,1891,4.055,1892,2.977,1893,4.055,1894,2.977,1895,2.104,1896,2.866,1897,1.639,1898,2.866,1899,2.977,1900,2.45,1901,2.977,1902,1.19,1903,1.639,1904,2.977,1905,2.977,1906,2.977,1907,2.977,1908,2.977,1909,4.157,1910,2.977,1911,4.612,1912,2.977,1913,3.338,1914,4.952,1915,2.45,1916,2.977,1917,2.977,1918,2.977,1919,1.845,1920,2.977,1921,2.977,1922,4.055,1923,2.977,1924,2.977,1925,2.977,1926,2.45,1927,2.977,1928,1.845,1929,2.977,1930,2.45,1931,2.977,1932,3.338,1933,3.338,1934,2.977,1935,4.055,1936,2.977,1937,2.977,1938,2.977,1939,2.977,1940,3.338,1941,2.104,1942,2.45,1943,2.104,1944,2.45,1945,2.977,1946,2.977,1947,2.977,1948,2.977,1949,2.45,1950,2.977,1951,2.977,1952,2.977,1953,2.977,1954,2.514,1955,2.977,1956,2.977,1957,2.977,1958,2.977,1959,2.977,1960,2.977,1961,2.977]],["t/9",[16,0.184,23,0.021]],["b/9",[1,0.034,2,0.222,3,0.03,4,0.03,5,0.024,6,0.024,7,0.039,8,0.03,9,0.024,10,0.024,11,0.03,12,0.03,13,0.024,14,0.031,15,0.024,16,0.309,17,0.03,18,0.024,19,0.03,20,0.024,21,0.084,22,0.153,23,0.03,24,0.092,25,0.084,26,0.024,27,0.024,28,0.399,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.024,35,0.024,36,0.031,37,0.024,38,0.024,39,0.024,40,0.024,41,0.024,42,0.024,43,0.075,44,0.075,45,0.075,46,0.094,47,0.127,48,0.127,49,0.127,50,0.075,51,0.127,52,0.814,57,1.367,61,0.094,71,2.345,75,2.94,87,1.008,89,0.567,95,0.159,101,0.726,103,1.264,120,1.117,121,1.115,123,0.024,124,0.024,125,0.024,126,0.024,127,0.024,128,0.024,129,0.024,130,0.024,131,0.024,132,0.024,133,0.024,134,0.024,135,0.024,144,2.297,159,0.495,164,0.567,169,1.864,184,1.367,185,2.553,243,0.712,269,1.676,290,1.873,413,3.114,441,2.082,502,0.494,507,1.367,552,1.008,564,1.381,565,1.367,576,1.008,693,1.401,697,1.513,707,1.53,755,2.082,770,3.114,811,1.401,815,2.082,817,2.674,822,1.117,823,0.452,868,2.022,875,0.911,878,2.337,879,2.853,880,1.236,891,0.814,935,2.102,940,1.513,941,2.553,943,1.864,959,1.008,1000,2.082,1004,2.102,1016,1.008,1081,1.008,1094,3.353,1106,1.513,1228,3.114,1239,1.897,1585,3.353,1615,1.829,1721,3.114,1732,2.082,1807,2.082,1903,2.611,1962,3.783,1963,3.783,1964,3.783,1965,3.783,1966,3.783,1967,3.783,1968,4.743,1969,5.182,1970,3.783,1971,3.783,1972,3.783,1973,3.783,1974,3.783,1975,3.783,1976,3.783,1977,3.114,1978,3.114,1979,3.783,1980,3.783,1981,3.905,1982,3.783,1983,3.783,1984,3.783,1985,3.114,1986,3.114,1987,2.345,1988,3.783,1989,3.783,1990,2.674,1991,3.114,1992,3.783,1993,3.783,1994,1.676,1995,2.674,1996,2.674,1997,2.674]],["t/10",[16,0.184,21,0.06]],["b/10",[1,0.02,2,0.199,3,0.03,4,0.026,5,0.021,6,0.027,7,0.039,8,0.032,9,0.021,10,0.021,11,0.02,12,0.02,13,0.021,14,0.027,15,0.02,16,0.318,17,0.03,18,0.02,19,0.02,20,0.034,21,0.103,22,0.143,23,0.02,24,0.085,25,0.075,26,0.021,27,0.021,28,0.385,29,0.026,30,0.02,31,0.026,32,0.02,33,0.02,34,0.02,35,0.034,36,0.027,37,0.027,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,1.028,61,0.095,84,1.255,89,0.717,95,0.171,97,1.154,99,0.335,101,0.816,104,1.573,107,0.556,114,0.687,120,1.255,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.418,151,0.851,159,0.418,164,0.638,169,1.573,173,0.943,184,1.841,195,1.415,243,0.479,255,1.911,261,1.979,274,1.573,283,1.276,343,1.573,360,0.851,361,1.415,377,1.979,378,0.687,428,2.628,470,0.943,502,0.405,505,0.687,506,1.573,516,1.757,517,1.389,543,1.573,553,1.415,558,1.043,560,1.276,564,1.133,566,1.154,576,0.851,635,1.154,643,1.573,708,1.7,761,1.979,788,2.256,811,1.255,822,0.943,823,0.486,824,0.694,826,1.222,875,0.613,879,1.757,880,1.562,888,1.154,891,1.028,898,1.414,899,1.154,904,1.884,906,1.7,917,1.043,927,1.979,935,1.415,943,1.573,952,2.614,953,2.635,954,3.499,955,2.34,956,3.499,957,3.499,958,3.499,959,1.133,960,2.635,981,2.628,1004,1.884,1016,0.851,1022,2.628,1025,2.628,1032,3.005,1044,1.979,1057,1.415,1060,3.499,1068,1.415,1081,0.851,1083,2.631,1088,1.154,1094,2.256,1101,1.757,1102,1.757,1106,2.262,1114,1.757,1115,1.573,1116,1.757,1121,1.154,1123,1.276,1142,1.415,1143,0.851,1221,2.256,1231,2.256,1239,1.7,1250,1.154,1352,0.943,1356,1.536,1360,1.7,1381,1.979,1383,2.631,1387,1.979,1393,1.979,1405,2.628,1417,1.979,1421,1.043,1437,1.573,1549,2.635,1558,2.628,1616,1.573,1790,1.415,1803,2.628,1807,1.757,1895,2.256,1902,1.276,1943,2.256,1944,2.628,1990,2.256,1991,2.628,1994,1.415,1995,3.005,1996,3.378,1997,3.005,1998,1.979,1999,3.192,2000,3.192,2001,3.192,2002,3.192,2003,3.192,2004,1.757,2005,3.192,2006,2.256,2007,3.192,2008,3.192,2009,3.192,2010,2.256,2011,3.192,2012,2.256,2013,3.192,2014,3.192,2015,3.192,2016,3.192,2017,3.192,2018,3.192,2019,3.499,2020,3.192,2021,2.628,2022,3.192,2023,4.251,2024,3.192,2025,2.628,2026,2.628,2027,3.192,2028,2.256,2029,3.192,2030,3.192,2031,4.251,2032,3.192,2033,4.251,2034,3.192,2035,4.251,2036,3.192,2037,3.192,2038,3.192,2039,3.192,2040,3.192,2041,3.192,2042,3.192,2043,2.256,2044,3.192,2045,3.192,2046,3.192,2047,3.192,2048,3.192,2049,3.192,2050,3.192,2051,2.628,2052,3.192,2053,3.378,2054,2.256,2055,3.192,2056,2.256,2057,2.256,2058,2.256,2059,3.192,2060,3.192,2061,4.251,2062,3.192,2063,3.192,2064,2.628,2065,2.628,2066,3.192,2067,3.192,2068,2.256,2069,3.192,2070,2.256,2071,3.192,2072,2.256,2073,4.251,2074,3.192,2075,3.192,2076,3.192,2077,1.415,2078,3.192,2079,3.192,2080,3.192,2081,3.192,2082,3.192,2083,3.192,2084,3.192,2085,3.192,2086,3.192,2087,3.005,2088,4.251,2089,3.192,2090,3.192,2091,3.192,2092,2.256,2093,3.192,2094,2.628,2095,2.628,2096,3.192]],["t/11",[16,0.16,21,0.052,22,0.083]],["b/11",[1,0.02,2,0.18,3,0.026,4,0.033,5,0.027,6,0.021,7,0.039,8,0.03,9,0.021,10,0.021,11,0.02,12,0.026,13,0.021,14,0.021,15,0.02,16,0.301,17,0.026,18,0.03,19,0.02,20,0.03,21,0.094,22,0.157,23,0.02,24,0.085,25,0.075,26,0.021,27,0.027,28,0.385,29,0.03,30,0.02,31,0.032,32,0.02,33,0.02,34,0.02,35,0.02,36,0.027,37,0.021,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.063,44,0.063,45,0.063,46,0.084,47,0.107,48,0.107,49,0.107,50,0.063,51,0.107,52,0.686,57,1.153,61,0.108,88,1.414,93,0.765,95,0.178,99,0.376,101,0.613,104,1.572,107,0.556,112,2.255,114,0.686,120,1.566,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,137,0.417,148,1.153,151,0.85,159,0.417,161,1.572,162,1.255,163,0.942,172,2.093,173,1.411,184,1.726,194,0.613,200,0.686,205,1.388,216,1.132,255,1.276,263,3.003,288,2.255,318,1.414,343,1.572,363,1.019,378,0.914,405,1.153,444,1.153,479,1.978,496,0.914,502,0.304,549,1.978,560,1.276,566,1.535,637,1.978,697,1.276,706,0.85,738,1.978,744,3.498,748,2.626,749,2.255,761,1.978,786,1.042,822,0.942,823,0.505,824,0.714,826,1.019,880,1.388,889,1.572,891,0.686,932,1.572,940,1.91,948,3.003,1004,1.414,1044,1.978,1057,1.414,1068,1.414,1081,0.85,1083,2.339,1099,1.978,1101,1.756,1102,1.756,1105,1.388,1106,1.91,1114,2.804,1115,1.572,1116,1.756,1123,1.276,1141,1.978,1142,2.117,1143,0.85,1185,2.339,1209,2.227,1238,2.626,1240,3.377,1246,2.626,1300,2.626,1351,1.042,1352,1.255,1355,2.634,1356,1.726,1358,2.626,1360,1.699,1365,2.626,1383,2.339,1384,1.978,1385,2.626,1387,1.978,1393,1.978,1417,1.978,1426,2.255,1492,3.933,1547,2.255,1627,1.572,1630,2.255,1639,1.756,1718,2.626,1773,1.572,1790,1.414,1822,2.255,1897,1.756,1903,2.63,1949,3.933,1990,2.255,1994,1.883,1995,3.003,1996,3.003,1997,3.003,2019,2.626,2025,3.498,2028,2.255,2051,2.626,2053,3.003,2056,2.255,2057,2.255,2058,2.255,2072,3.377,2077,1.414,2087,3.003,2092,3.377,2097,3.19,2098,3.19,2099,2.339,2100,3.19,2101,2.626,2102,3.19,2103,3.601,2104,3.19,2105,3.19,2106,3.19,2107,3.19,2108,3.19,2109,3.19,2110,3.19,2111,3.19,2112,3.19,2113,4.249,2114,3.19,2115,3.19,2116,3.19,2117,3.19,2118,3.19,2119,2.634,2120,3.19,2121,2.634,2122,2.634,2123,2.634,2124,2.961,2125,2.634,2126,2.634,2127,3.19,2128,2.255,2129,3.377,2130,3.19,2131,5.094,2132,3.19,2133,4.249,2134,5.094,2135,4.249,2136,4.249,2137,4.249,2138,3.19,2139,3.19,2140,3.19,2141,3.19,2142,2.255,2143,1.756,2144,2.626,2145,2.255,2146,3.19,2147,3.933,2148,3.19,2149,3.19,2150,3.19,2151,3.19,2152,3.19,2153,3.19,2154,3.19,2155,2.255,2156,3.19,2157,2.626,2158,3.19,2159,2.255,2160,2.626,2161,3.19,2162,2.626,2163,3.19,2164,4.249,2165,2.626,2166,3.19,2167,3.19,2168,2.255,2169,3.19,2170,3.19,2171,2.626,2172,3.19,2173,2.626,2174,3.19,2175,3.19,2176,3.19,2177,3.19,2178,4.249,2179,4.249,2180,2.626,2181,2.626,2182,3.498,2183,2.626,2184,3.19,2185,3.19,2186,2.626,2187,3.19,2188,3.19]],["t/12",[17,0.018,18,0.018,19,0.018]],["b/12",[1,0.02,2,0.223,3,0.032,4,0.03,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.027,12,0.027,13,0.021,14,0.021,15,0.027,16,0.329,17,0.036,18,0.034,19,0.033,20,0.02,21,0.077,22,0.155,23,0.02,24,0.091,25,0.077,26,0.021,27,0.021,28,0.387,29,0.027,30,0.03,31,0.027,32,0.02,33,0.027,34,0.02,35,0.02,36,0.028,37,0.028,38,0.02,39,0.02,40,0.02,41,0.021,42,0.02,43,0.065,44,0.065,45,0.065,46,0.085,47,0.11,48,0.11,49,0.11,50,0.065,51,0.11,52,0.703,60,1.181,61,0.117,63,3.553,69,1.035,71,2.025,89,0.648,94,1.106,95,0.145,99,0.381,100,1.61,107,0.632,108,1.035,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.028,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,144,1.448,151,0.87,159,0.753,162,0.965,167,2.127,175,0.965,176,1.275,194,0.829,196,1.41,205,1.068,216,1.288,243,0.49,360,0.87,361,1.448,404,2.025,405,1.181,444,1.56,448,1.798,461,2.309,470,1.275,481,2.69,482,3.553,496,0.928,502,0.411,506,1.61,516,2.376,517,1.068,552,0.87,576,0.87,621,2.025,692,1.448,693,0.965,696,2.376,701,2.142,705,1.306,706,0.87,727,2.025,735,1.448,749,2.309,752,1.798,758,1.61,786,1.068,811,1.275,815,2.661,822,0.965,823,0.411,824,0.718,826,1.317,880,1.068,888,1.56,891,1.223,898,1.515,899,1.181,901,1.448,906,1.726,912,1.798,913,1.61,943,2.127,944,2.309,946,2.309,953,2.025,972,2.127,977,1.306,993,2.69,1016,0.87,1030,1.61,1084,1.181,1105,1.068,1106,1.306,1185,1.798,1209,1.933,1237,2.309,1364,2.025,1437,1.61,1449,2.69,1502,2.69,1552,2.309,1602,1.306,1625,2.309,1627,1.61,1639,1.798,1657,2.309,1807,2.661,1863,2.309,1889,2.69,1896,2.309,1919,2.676,1985,2.69,1998,2.676,2012,2.309,2119,2.676,2121,2.025,2122,2.025,2123,2.025,2124,2.025,2125,2.025,2126,2.025,2189,3.267,2190,3.267,2191,4.522,2192,3.267,2193,3.267,2194,3.267,2195,3.267,2196,3.267,2197,2.309,2198,2.309,2199,3.267,2200,2.69,2201,2.69,2202,3.267,2203,3.267,2204,3.267,2205,4.316,2206,4.402,2207,3.267,2208,3.267,2209,2.309,2210,3.267,2211,3.267,2212,3.267,2213,3.267,2214,3.267,2215,3.267,2216,2.309,2217,3.267,2218,3.267,2219,2.69,2220,3.267,2221,3.267,2222,3.267,2223,3.267,2224,3.267,2225,2.69,2226,3.267,2227,3.267,2228,3.267,2229,3.267,2230,3.267,2231,3.051,2232,2.69,2233,3.267,2234,3.267,2235,3.267,2236,3.267,2237,3.267,2238,3.267,2239,3.267,2240,3.267,2241,3.267,2242,3.267,2243,3.267,2244,2.309,2245,3.267,2246,3.267,2247,3.267,2248,3.267,2249,2.309,2250,3.267,2251,2.69,2252,4.316,2253,3.267,2254,2.309,2255,4.316,2256,4.316,2257,3.267,2258,3.267,2259,3.267,2260,3.267,2261,3.267]],["t/13",[24,0.06,25,0.06]],["b/13",[1,0.018,2,0.219,3,0.034,4,0.025,5,0.019,6,0.019,7,0.039,8,0.028,9,0.019,10,0.019,11,0.018,12,0.018,13,0.019,14,0.029,15,0.018,16,0.293,17,0.035,18,0.03,19,0.036,20,0.025,21,0.07,22,0.138,23,0.018,24,0.1,25,0.098,26,0.019,27,0.019,28,0.376,29,0.025,30,0.018,31,0.018,32,0.018,33,0.018,34,0.018,35,0.018,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.078,47,0.097,48,0.097,49,0.097,50,0.057,51,0.097,52,1.139,57,1.043,61,0.109,69,0.692,73,2.375,88,1.279,89,0.433,92,1.279,93,1.172,94,0.621,95,0.186,99,0.227,101,0.871,103,1.058,107,0.639,108,0.692,109,1.588,114,0.621,121,0.621,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.032,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,137,0.519,144,2.166,159,0.594,164,0.596,169,1.956,172,1.421,184,1.043,194,0.762,196,0.943,199,1.154,200,1.139,247,1.043,269,2.347,274,1.421,330,3.736,360,0.769,364,2.039,378,0.621,391,2.039,403,1.421,404,1.789,405,1.043,444,1.043,446,2.375,466,1.789,470,1.513,472,1.421,502,0.432,507,1.043,517,0.943,525,0.852,552,1.302,564,0.769,565,1.434,568,1.789,621,1.789,628,1.588,631,1.279,635,1.043,679,1.043,690,1.421,692,1.279,694,1.789,698,2.039,701,1.279,705,1.154,706,0.769,707,1.34,750,0.943,758,1.421,804,2.525,808,2.806,811,1.172,819,2.039,823,0.466,824,0.742,828,1.789,868,1.64,875,0.984,878,1.421,879,1.588,880,1.597,888,1.64,889,1.956,891,1.189,898,1.302,899,1.043,904,2.271,927,2.461,932,1.956,940,1.154,946,2.039,949,1.789,962,4.36,963,4.251,964,2.461,965,2.039,966,3.208,967,2.039,968,2.039,970,2.039,972,2.824,973,3.63,977,1.154,980,2.039,990,2.375,994,3.455,1016,1.058,1020,2.806,1024,2.039,1031,2.375,1055,1.588,1067,2.375,1081,1.058,1108,2.21,1142,1.279,1229,1.279,1239,1.154,1407,2.039,1510,2.806,1601,3.268,1615,1.297,1616,1.421,1653,2.039,1771,2.039,1790,1.279,1836,2.236,1838,2.166,1873,1.588,1902,1.154,1977,2.375,1987,1.789,1998,1.789,2004,1.588,2006,3.208,2010,2.039,2021,2.375,2068,2.039,2077,1.279,2145,2.039,2191,2.375,2206,2.375,2225,2.375,2244,2.039,2249,2.039,2262,2.885,2263,2.885,2264,2.885,2265,2.885,2266,2.885,2267,2.885,2268,1.789,2269,2.236,2270,2.375,2271,2.375,2272,2.375,2273,2.375,2274,2.375,2275,2.885,2276,2.885,2277,2.885,2278,2.885,2279,2.885,2280,2.885,2281,2.885,2282,2.885,2283,2.885,2284,2.375,2285,2.375,2286,2.375,2287,2.885,2288,3.969,2289,4.538,2290,3.969,2291,2.375,2292,2.885,2293,2.885,2294,3.268,2295,2.885,2296,2.375,2297,3.969,2298,2.375,2299,2.885,2300,2.885,2301,2.885,2302,2.375,2303,2.885,2304,2.885,2305,3.969,2306,3.969,2307,2.885,2308,4.538,2309,2.885,2310,2.885,2311,2.885,2312,2.885,2313,2.885,2314,2.885,2315,2.885,2316,2.885,2317,2.885,2318,2.885,2319,2.885,2320,2.375,2321,2.375,2322,2.375,2323,2.375,2324,3.268,2325,2.375,2326,2.375,2327,2.885,2328,2.885,2329,2.885,2330,2.375,2331,2.375,2332,4.888,2333,3.969,2334,2.375,2335,3.969,2336,2.885,2337,2.885,2338,2.885,2339,2.885,2340,2.885,2341,2.885,2342,2.885,2343,2.885,2344,2.885,2345,2.885,2346,2.885,2347,2.885]],["t/14",[22,0.083,24,0.052,25,0.052]],["b/14",[1,0.022,2,0.187,3,0.028,4,0.033,5,0.022,6,0.029,7,0.039,8,0.028,9,0.022,10,0.022,11,0.022,12,0.022,13,0.022,14,0.029,15,0.022,16,0.324,17,0.031,18,0.022,19,0.022,20,0.031,21,0.079,22,0.148,23,0.028,24,0.093,25,0.103,26,0.022,27,0.022,28,0.392,29,0.022,30,0.022,31,0.022,32,0.022,33,0.022,34,0.022,35,0.022,36,0.035,37,0.022,38,0.022,39,0.022,40,0.022,41,0.022,42,0.022,43,0.068,44,0.068,45,0.068,46,0.089,47,0.116,48,0.116,49,0.116,50,0.068,51,0.116,52,1.171,61,0.108,85,1.702,87,0.92,93,0.828,94,0.743,95,0.15,97,1.248,107,0.452,108,0.828,114,0.963,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.022,134,0.022,135,0.022,137,0.452,164,0.518,167,1.702,176,1.02,194,0.86,243,0.518,399,2.441,468,1.702,469,2.441,502,0.329,551,1.531,552,0.92,553,1.531,631,1.531,692,1.531,694,2.141,706,0.92,750,1.129,804,1.702,811,1.02,823,0.501,824,0.761,826,0.828,878,1.702,891,0.743,898,0.92,899,1.248,912,1.901,913,1.702,949,2.141,963,2.441,964,3.457,965,3.164,966,3.848,967,3.164,968,2.441,970,3.511,972,2.682,973,3.519,977,1.381,980,2.441,982,2.843,986,2.843,994,2.441,1006,2.843,1009,2.843,1010,2.441,1012,2.843,1014,2.843,1018,2.843,1019,2.843,1020,2.441,1024,2.441,1027,2.843,1028,2.843,1043,1.531,1081,0.92,1108,1.381,1142,1.531,1239,1.79,1379,2.843,1619,2.141,1623,3.164,1627,1.702,1711,2.843,1790,1.531,1807,1.901,1836,1.702,1838,1.984,1883,2.441,1890,2.843,1978,4.325,1994,1.984,1998,2.141,2006,3.511,2010,2.441,2028,3.164,2072,3.164,2077,1.531,2101,2.843,2145,2.441,2159,2.441,2244,3.164,2249,2.441,2268,2.141,2269,1.702,2270,2.843,2271,2.843,2272,2.843,2273,2.843,2274,2.843,2294,3.685,2320,2.843,2321,3.685,2322,2.843,2323,3.685,2324,3.685,2325,3.685,2326,2.843,2348,3.454,2349,5.577,2350,3.454,2351,3.454,2352,4.476,2353,2.843,2354,3.454,2355,3.454,2356,4.476,2357,3.454,2358,3.454,2359,3.454,2360,3.454,2361,3.454,2362,4.476,2363,4.476,2364,4.476,2365,3.454,2366,3.454,2367,2.843,2368,3.454,2369,3.454,2370,3.454,2371,3.454,2372,3.454,2373,3.454,2374,2.141,2375,3.685,2376,3.454,2377,4.476,2378,4.476,2379,3.454,2380,3.454,2381,3.454,2382,1.702,2383,3.454,2384,3.454,2385,3.454,2386,3.454,2387,3.454,2388,3.454,2389,3.454,2390,2.441,2391,3.454,2392,2.441,2393,3.454]],["t/15",[16,0.184,20,0.021]],["b/15",[1,0.018,2,0.198,3,0.028,4,0.025,5,0.018,6,0.018,7,0.039,8,0.03,9,0.018,10,0.018,11,0.018,12,0.028,13,0.018,14,0.025,15,0.018,16,0.326,17,0.032,18,0.018,19,0.018,20,0.037,21,0.086,22,0.157,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.375,29,0.025,30,0.018,31,0.033,32,0.018,33,0.018,34,0.018,35,0.025,36,0.025,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.056,44,0.056,45,0.056,46,0.078,47,0.096,48,0.096,49,0.096,50,0.056,51,0.096,52,0.613,61,0.115,87,0.76,89,0.766,93,0.684,94,1.098,95,0.172,96,0.847,99,0.446,101,0.548,114,0.847,121,1.135,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,159,0.59,164,0.591,171,2.348,184,1.031,200,0.613,205,1.589,216,1.406,255,2.237,263,2.016,264,1.768,269,1.745,292,1.574,293,2.348,360,0.76,363,0.684,378,0.613,430,2.016,463,1.57,485,1.57,496,1.046,502,0.272,506,1.405,551,1.264,564,0.76,566,1.63,613,2.016,623,1.264,635,1.031,637,1.768,694,3.015,706,1.049,708,1.14,727,1.768,735,2.339,751,2.348,786,0.932,815,1.57,822,0.842,823,0.486,824,0.668,875,0.548,879,1.57,880,1.869,881,2.016,888,1.63,913,1.94,917,0.932,919,1.768,940,1.14,959,1.202,991,1.768,1016,0.76,1044,3.015,1052,2.348,1068,1.745,1081,1.049,1083,1.57,1084,1.031,1086,2.016,1088,1.63,1097,1.768,1098,1.803,1099,1.768,1100,2.783,1101,2.677,1102,2.677,1105,1.668,1106,2.041,1108,1.14,1109,2.016,1112,2.016,1113,2.016,1114,2.483,1115,2.222,1116,2.677,1117,2.016,1118,2.016,1121,1.63,1123,1.803,1143,0.76,1185,3.034,1209,1.803,1239,1.14,1250,1.031,1352,1.163,1355,1.768,1356,1.758,1359,2.783,1360,1.574,1364,2.441,1368,2.348,1370,3.242,1383,1.57,1384,2.441,1387,2.441,1393,2.441,1394,2.348,1397,2.167,1399,2.348,1408,1.57,1417,1.768,1421,0.932,1426,2.016,1532,2.016,1536,2.796,1562,1.768,1602,1.14,1616,1.405,1629,2.167,1655,2.016,1666,2.783,1790,1.745,1847,1.264,1896,2.016,1897,1.57,1903,2.483,1919,2.441,1986,2.348,1987,1.768,1994,1.264,2012,2.016,2026,3.242,2053,3.438,2054,2.783,2056,2.016,2057,2.783,2058,2.783,2065,2.348,2068,2.016,2087,2.783,2092,2.016,2099,1.57,2103,2.016,2119,2.441,2121,3.015,2122,3.015,2123,3.015,2124,3.164,2125,3.015,2126,3.015,2128,2.783,2129,2.016,2147,3.242,2157,2.348,2160,2.348,2162,2.348,2165,2.348,2168,2.016,2171,2.348,2173,2.348,2180,3.242,2181,2.348,2182,3.242,2183,2.348,2186,2.348,2197,2.783,2198,2.783,2216,2.016,2231,2.016,2394,2.852,2395,2.852,2396,2.852,2397,3.937,2398,2.852,2399,2.852,2400,2.852,2401,2.852,2402,2.852,2403,2.852,2404,2.852,2405,3.937,2406,2.852,2407,3.937,2408,2.852,2409,2.852,2410,2.852,2411,2.852,2412,2.852,2413,2.852,2414,2.852,2415,2.852,2416,2.852,2417,2.852,2418,2.852,2419,2.852,2420,2.852,2421,2.348,2422,3.242,2423,2.016,2424,2.016,2425,3.937,2426,2.852,2427,3.937,2428,2.852,2429,2.852,2430,2.852,2431,2.852,2432,1.405,2433,2.852,2434,2.852,2435,2.852,2436,2.852,2437,2.852,2438,2.852,2439,2.852,2440,2.852,2441,2.348,2442,2.852,2443,3.242,2444,2.852,2445,2.852,2446,2.852,2447,2.852,2448,2.852,2449,2.852,2450,2.348]],["t/16",[3,0.021,4,0.021]],["b/16",[1,0.028,2,0.225,3,0.037,4,0.037,5,0.022,6,0.022,7,0.038,8,0.031,9,0.022,10,0.022,11,0.028,12,0.028,13,0.032,14,0.035,15,0.028,16,0.32,17,0.028,18,0.028,19,0.028,20,0.034,21,0.093,22,0.153,23,0.028,24,0.105,25,0.097,26,0.034,27,0.022,28,0.414,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.035,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,43,0.089,44,0.069,45,0.069,46,0.069,50,0.069,57,1.621,61,0.11,62,2.45,87,1.325,89,0.52,103,1.195,117,1.708,120,1.023,121,0.746,123,0.022,124,0.022,125,0.022,126,0.022,127,0.022,128,0.022,129,0.022,130,0.022,131,0.022,132,0.022,133,0.029,134,0.022,135,0.022,136,2.149,137,0.587,146,3.694,150,2.854,152,3.694,154,3.084,159,0.587,163,1.023,164,0.789,175,1.023,194,0.666,195,1.536,243,0.673,247,2.053,283,1.386,361,1.988,364,3.517,390,2.47,392,3.517,398,2.45,405,1.253,441,2.47,470,1.023,472,1.708,473,2.45,485,1.908,502,0.474,505,0.965,506,1.708,542,2.45,543,2.21,549,3.084,551,1.536,552,0.924,558,1.466,559,2.149,562,3.694,564,0.924,566,1.253,577,1.908,623,1.536,635,1.253,643,1.708,679,1.253,698,2.45,728,2.854,779,2.45,780,2.854,788,2.45,804,1.708,826,1.076,875,0.955,889,1.708,920,2.854,935,1.988,941,2.21,952,1.708,955,2.47,999,2.149,1030,1.708,1084,1.253,1167,2.896,1209,1.386,1239,1.386,1250,1.253,1351,1.133,1367,2.45,1381,2.149,1510,2.45,1534,2.45,1544,2.854,1550,2.854,1559,2.854,1588,2.21,1615,1.133,1639,1.908,1665,2.149,1735,2.854,1773,1.708,1776,2.854,1824,2.781,1902,1.386,1928,2.149,1941,3.171,2004,1.908,2043,2.45,2077,1.536,2099,1.908,2298,2.854,2367,2.854,2382,2.451,2451,2.45,2452,3.466,2453,2.45,2454,3.466,2455,3.466,2456,3.466,2457,3.466,2458,3.466,2459,3.466,2460,4.487,2461,2.45,2462,3.466,2463,3.466,2464,3.466,2465,3.466,2466,3.466,2467,3.466,2468,3.466,2469,3.466,2470,4.975,2471,2.854,2472,3.466,2473,3.466,2474,2.854,2475,3.466,2476,4.487,2477,3.466,2478,3.466,2479,3.466,2480,2.45,2481,2.45,2482,2.45,2483,2.854,2484,4.487,2485,2.45,2486,3.466,2487,3.466,2488,3.466,2489,3.466,2490,3.466,2491,3.466,2492,3.466,2493,3.466]],["t/17",[28,0.177,35,0.016,1824,1.615,2485,1.841]],["b/17",[1,0.021,2,0.219,3,0.027,4,0.027,5,0.021,6,0.021,7,0.039,8,0.032,9,0.021,10,0.021,11,0.021,12,0.021,13,0.028,14,0.028,15,0.021,16,0.263,17,0.027,18,0.021,19,0.021,20,0.021,21,0.077,22,0.165,23,0.021,24,0.086,25,0.077,26,0.021,27,0.021,28,0.393,29,0.032,30,0.032,31,0.027,32,0.021,33,0.021,34,0.021,35,0.027,36,0.031,37,0.021,38,0.021,39,0.021,40,0.021,41,0.021,42,0.021,43,0.065,44,0.065,45,0.065,46,0.086,47,0.111,48,0.111,49,0.111,50,0.065,51,0.111,61,0.102,69,1.24,77,3.078,84,0.978,95,0.181,99,0.434,101,0.836,104,1.631,107,0.433,123,0.021,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.021,133,0.021,134,0.021,135,0.021,151,1.296,153,2.341,165,0.882,174,0.978,175,0.978,178,3.078,196,1.082,199,1.324,249,2.146,264,2.7,290,1.197,291,1.631,292,1.324,312,1.324,363,1.24,411,2.7,449,2.341,470,0.978,496,0.712,505,0.712,552,1.377,566,1.574,576,0.882,630,2.053,706,0.882,735,1.467,755,1.823,814,2.341,817,2.341,823,0.543,918,4.421,919,3.016,937,1.324,972,2.397,977,1.324,1081,0.882,1123,1.324,1142,1.467,1143,1.16,1351,1.423,1352,0.978,1355,2.053,1356,1.574,1398,3.078,1421,1.423,1615,1.689,1732,1.823,1736,2.726,1771,2.341,1773,1.631,1824,3.681,1827,2.341,1831,2.726,1832,2.726,1836,1.631,1838,1.93,1843,2.726,1847,1.467,1848,2.726,1855,2.726,1857,2.726,1903,1.823,2268,2.053,2269,2.146,2432,1.631,2485,3.078,2494,3.311,2495,3.311,2496,3.311,2497,3.311,2498,3.311,2499,3.311,2500,4.355,2501,4.355,2502,4.355,2503,4.355,2504,4.355,2505,3.311,2506,3.311,2507,3.311,2508,3.311,2509,3.311,2510,3.311,2511,3.311,2512,3.311,2513,3.311,2514,3.311,2515,4.355,2516,3.585,2517,3.311,2518,3.311,2519,3.311,2520,4.355,2521,3.311,2522,3.311,2523,3.311,2524,3.585,2525,3.311,2526,4.355,2527,3.311,2528,3.311,2529,3.311,2530,3.311,2531,4.866,2532,3.311,2533,3.311,2534,3.311,2535,3.311,2536,3.311,2537,1.631,2538,3.311,2539,3.311,2540,3.311,2541,3.311,2542,3.311,2543,3.311,2544,3.311,2545,3.311,2546,3.311,2547,3.311,2548,4.355,2549,3.311,2550,3.311,2551,3.311,2552,4.355,2553,3.311,2554,3.311,2555,3.311,2556,3.311,2557,2.726,2558,2.726,2559,3.311,2560,3.311,2561,4.866,2562,3.311,2563,3.311,2564,3.311,2565,3.311,2566,3.311,2567,3.311,2568,3.311,2569,3.311,2570,3.311,2571,3.311,2572,3.311,2573,3.311,2574,3.311,2575,3.311,2576,3.311,2577,3.311,2578,4.355,2579,3.311,2580,3.311,2581,5.169,2582,3.311,2583,3.311,2584,4.355,2585,4.355,2586,3.311,2587,3.311,2588,3.311,2589,3.311,2590,3.311,2591,3.311,2592,3.311,2593,3.311,2594,3.311,2595,3.311,2596,4.866,2597,3.311]],["t/18",[22,0.096,28,0.231]],["b/18",[1,0.017,2,0.215,3,0.017,4,0.032,5,0.018,6,0.031,7,0.039,8,0.03,9,0.018,10,0.018,11,0.017,12,0.017,13,0.018,14,0.025,15,0.017,16,0.238,17,0.017,18,0.017,19,0.017,20,0.017,21,0.068,22,0.171,23,0.017,24,0.085,25,0.068,26,0.018,27,0.025,28,0.377,29,0.036,30,0.036,31,0.034,32,0.017,33,0.03,34,0.031,35,0.017,36,0.025,37,0.018,38,0.017,39,0.017,40,0.017,41,0.018,42,0.017,43,0.054,44,0.054,45,0.054,46,0.075,47,0.092,48,0.128,49,0.092,50,0.054,51,0.092,52,0.821,59,2.366,60,1.592,61,0.116,69,1.144,79,1.344,93,0.654,94,1.026,95,0.128,99,0.471,100,1.344,101,0.524,103,0.727,107,0.357,108,0.654,109,1.501,117,1.881,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,136,1.691,137,0.499,149,1.928,151,1.017,162,1.127,163,0.805,164,0.661,165,1.173,173,0.805,174,1.301,176,1.483,178,1.928,196,1.247,199,1.526,200,1.173,203,2.698,243,0.573,245,1.691,247,1.815,249,1.344,252,2.101,255,1.091,262,1.691,269,1.209,274,1.344,280,2.245,281,1.928,282,2.17,283,1.091,288,2.698,290,0.986,291,1.344,292,1.091,312,1.908,318,1.209,360,0.727,361,1.952,362,1.501,381,2.245,390,1.501,411,2.73,430,1.928,444,0.986,463,1.501,468,1.881,485,2.424,496,1.026,502,0.26,505,0.587,516,1.501,517,0.891,551,1.692,552,0.727,553,1.692,558,1.7,560,1.526,561,1.928,574,2.366,577,2.101,607,1.928,613,2.698,629,1.344,631,1.692,635,0.986,643,1.344,692,1.209,705,1.091,708,1.761,761,2.366,823,0.55,824,0.576,826,1.373,917,0.891,927,1.691,973,1.691,999,1.691,1043,1.209,1081,1.017,1108,1.908,1115,2.17,1143,1.017,1193,2.957,1352,0.805,1384,2.73,1547,1.928,1562,1.691,1585,1.928,1593,2.245,1616,1.344,1856,3.626,1898,3.113,1902,1.091,1940,2.245,1987,1.691,2004,1.501,2142,1.928,2168,2.698,2374,1.691,2382,1.344,2421,2.245,2461,1.928,2474,2.245,2537,1.344,2598,2.727,2599,2.727,2600,2.727,2601,2.727,2602,2.727,2603,2.727,2604,2.727,2605,2.245,2606,2.727,2607,2.727,2608,4.771,2609,2.727,2610,2.727,2611,2.727,2612,2.727,2613,2.727,2614,2.727,2615,2.727,2616,2.727,2617,2.727,2618,2.727,2619,2.727,2620,2.727,2621,2.727,2622,2.727,2623,2.727,2624,3.817,2625,3.817,2626,2.727,2627,2.727,2628,2.727,2629,2.727,2630,2.727,2631,2.727,2632,2.727,2633,2.727,2634,2.727,2635,2.727,2636,4.404,2637,3.817,2638,2.727,2639,3.817,2640,3.817,2641,2.727,2642,2.727,2643,2.727,2644,2.727,2645,4.488,2646,4.404,2647,4.404,2648,3.626,2649,3.113,2650,4.404,2651,2.727,2652,2.245,2653,2.727,2654,2.245,2655,3.626,2656,2.727,2657,2.727,2658,2.727,2659,2.727,2660,2.727,2661,2.727,2662,2.727,2663,2.727,2664,2.727,2665,2.727,2666,2.727,2667,2.727,2668,2.727,2669,2.245,2670,2.727,2671,2.727,2672,2.727,2673,2.727,2674,2.727,2675,2.727,2676,2.727,2677,2.727,2678,2.727,2679,2.727,2680,2.727,2681,2.727,2682,2.727,2683,2.727,2684,2.727,2685,2.727,2686,2.727,2687,2.727,2688,2.727,2689,2.727,2690,2.727,2691,2.727,2692,2.727,2693,2.727,2694,2.727,2695,2.727,2696,2.727,2697,2.727,2698,2.727,2699,2.727,2700,2.727,2701,2.727,2702,3.817,2703,2.727,2704,3.817,2705,2.727,2706,2.727,2707,2.727,2708,2.727,2709,2.727,2710,2.727,2711,2.727,2712,2.727,2713,2.727,2714,2.727,2715,2.727,2716,2.727,2717,2.727,2718,3.817,2719,2.727,2720,2.727,2721,2.727,2722,2.727,2723,2.727]],["t/19",[28,0.177,29,0.016,875,0.5,1250,0.941]],["b/19",[1,0.016,2,0.201,3,0.03,4,0.026,5,0.016,6,0.023,7,0.039,8,0.032,9,0.016,10,0.016,11,0.022,12,0.022,13,0.016,14,0.016,15,0.016,16,0.289,17,0.026,18,0.022,19,0.022,20,0.016,21,0.064,22,0.147,23,0.016,24,0.075,25,0.064,26,0.016,27,0.016,28,0.375,29,0.033,30,0.022,31,0.022,32,0.016,33,0.022,34,0.022,35,0.022,36,0.027,37,0.016,38,0.016,39,0.016,40,0.016,41,0.016,42,0.016,43,0.05,44,0.05,45,0.05,46,0.071,47,0.084,48,0.121,49,0.084,50,0.05,51,0.084,52,0.54,61,0.11,71,1.556,79,1.237,84,0.741,87,1.121,89,0.377,92,1.113,93,0.602,94,0.54,95,0.183,96,0.774,99,0.332,101,0.934,103,0.669,107,0.328,108,1.009,114,0.54,120,0.741,121,0.774,123,0.016,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.016,133,0.016,134,0.016,135,0.016,137,0.637,144,1.113,148,0.907,151,1.121,159,0.471,161,2.073,163,1.063,164,0.69,165,0.669,166,1.382,173,0.741,174,1.063,175,1.063,176,1.063,179,2.975,180,2.975,181,2.975,182,2.975,183,2.975,184,1.521,185,2.398,186,2.975,187,2.975,188,2.975,189,2.975,190,2.975,191,3.841,192,2.609,194,0.482,196,1.176,197,2.067,199,1.439,200,1.286,201,2.788,202,2.067,203,1.774,204,2.067,205,1.375,206,2.067,207,2.067,208,2.067,209,2.067,210,2.067,211,2.067,212,2.963,213,2.067,214,2.067,215,2.067,216,0.959,217,2.963,218,2.963,219,2.067,220,2.067,221,2.963,222,2.963,223,3.465,224,2.067,225,2.067,226,2.067,227,2.067,228,2.067,229,2.067,230,2.067,231,1.774,243,0.377,247,0.907,283,1.004,285,2.067,290,1.661,291,1.773,292,1.004,295,2.067,297,2.067,299,2.067,300,2.067,303,2.067,305,2.067,306,2.067,307,2.067,310,2.067,311,2.067,312,1.004,315,2.067,317,2.067,318,1.113,320,2.067,322,2.067,325,2.067,327,2.067,328,2.067,329,2.067,331,2.067,334,2.067,336,2.067,337,3.249,340,2.067,342,2.067,343,1.237,345,2.067,347,2.067,348,1.774,351,2.067,353,2.067,354,2.067,356,2.067,358,2.067,362,1.382,363,1.251,373,1.774,378,0.54,470,1.243,479,1.556,502,0.239,505,0.54,507,0.907,516,1.382,517,0.82,558,1.502,559,1.556,560,1.004,565,0.907,574,1.556,576,0.669,585,2.067,629,1.237,679,1.301,690,1.237,692,1.113,693,0.741,697,1.004,701,1.595,704,1.774,705,1.004,707,1.063,726,2.067,750,1.176,752,1.382,757,2.067,790,1.774,791,1.556,793,2.067,823,0.401,824,0.755,826,1.102,868,1.301,875,1.025,888,0.907,889,1.237,914,2.067,937,1.004,959,0.959,1016,0.669,1036,2.609,1038,2.975,1040,3.785,1098,1.683,1108,1.004,1141,2.609,1143,0.669,1174,2.067,1250,1.885,1351,0.82,1352,1.357,1381,1.556,1398,1.774,1410,2.531,1413,3.249,1421,1.176,1514,1.774,1518,1.774,1588,1.237,1607,1.982,1609,2.231,1664,2.067,1719,2.067,1720,2.067,1737,1.774,1769,1.774,1836,1.773,1838,1.865,1847,1.595,1895,1.774,1909,1.774,1930,2.067,1933,2.067,1941,1.774,1954,1.556,2004,1.382,2128,1.774,2143,1.382,2159,1.774,2200,2.067,2216,1.774,2269,2.073,2296,2.067,2374,1.556,2382,1.237,2390,1.774,2392,3.249,2432,1.773,2461,1.774,2516,2.067,2605,2.067,2724,2.51,2725,2.51,2726,3.6,2727,2.51,2728,2.51,2729,2.51,2730,2.51,2731,2.51,2732,2.51,2733,2.067,2734,2.51,2735,2.51,2736,2.51,2737,2.51,2738,2.067,2739,2.51,2740,2.51,2741,2.51,2742,2.963,2743,2.51,2744,2.51,2745,3.6,2746,1.774,2747,2.51,2748,2.51,2749,2.51,2750,3.6,2751,2.51,2752,2.51,2753,4.867,2754,2.51,2755,2.51,2756,2.51,2757,3.6,2758,3.249,2759,2.51,2760,1.774,2761,3.6,2762,2.51,2763,2.067,2764,2.51,2765,2.51,2766,2.51,2767,3.6,2768,3.6,2769,3.6,2770,3.6,2771,4.208,2772,2.51,2773,2.51,2774,2.51,2775,2.51,2776,2.51,2777,2.51,2778,2.51,2779,2.51,2780,2.51,2781,2.51,2782,2.51,2783,2.067,2784,2.067,2785,2.067,2786,2.067,2787,3.465,2788,2.51,2789,2.067,2790,2.067,2791,2.067,2792,2.067,2793,4.597,2794,2.963,2795,2.51,2796,2.51,2797,2.51,2798,2.51,2799,2.51,2800,2.51,2801,2.51,2802,2.51,2803,2.51,2804,2.51,2805,2.51,2806,2.51,2807,2.51,2808,2.51,2809,2.51,2810,2.51,2811,2.51,2812,2.51,2813,2.51]],["t/20",[28,0.131,30,0.012,875,0.37,935,0.855,1777,1.363,1928,1.195,2481,1.363]],["b/20",[1,0.024,2,0.21,3,0.024,4,0.024,5,0.014,6,0.014,7,0.039,8,0.031,9,0.014,10,0.014,11,0.014,12,0.02,13,0.014,14,0.014,15,0.014,16,0.289,17,0.031,18,0.031,19,0.024,20,0.014,21,0.058,22,0.145,23,0.014,24,0.069,25,0.069,26,0.014,27,0.014,28,0.357,29,0.024,30,0.024,31,0.02,32,0.014,33,0.02,34,0.024,35,0.014,36,0.021,37,0.014,38,0.014,39,0.014,40,0.014,41,0.014,42,0.014,43,0.043,44,0.043,45,0.064,46,0.064,47,0.074,48,0.074,49,0.074,50,0.043,51,0.074,52,0.701,59,1.359,61,0.113,69,1.034,72,1.805,74,1.55,79,1.08,83,1.55,84,0.963,86,1.805,87,1.149,88,1.445,89,0.489,93,0.526,94,0.472,95,0.19,96,0.837,97,0.792,99,0.173,101,0.748,103,0.584,104,1.08,107,0.632,108,0.526,114,0.472,117,1.607,123,0.014,124,0.014,125,0.014,126,0.014,127,0.014,128,0.014,129,0.014,130,0.014,131,0.014,132,0.014,133,0.014,134,0.014,135,0.014,137,0.509,148,1.407,151,1.037,159,0.509,162,0.648,163,1.15,164,0.584,165,0.584,167,1.08,170,1.55,173,1.15,175,1.273,194,0.626,195,0.972,196,1.409,199,0.877,200,1.105,216,0.584,243,0.329,244,1.55,245,1.359,252,2.537,264,1.359,282,1.08,290,1.558,291,1.607,292,0.877,312,0.877,318,0.972,360,0.584,361,0.972,362,1.795,363,0.782,373,1.55,378,0.472,382,1.55,389,1.805,397,1.805,403,1.918,405,0.792,411,2.022,444,0.792,468,1.08,478,1.08,496,1.105,502,0.46,505,0.701,515,1.55,525,0.648,551,0.972,552,0.584,553,1.445,558,1.066,560,0.877,564,0.584,565,1.179,568,1.359,617,1.207,621,1.359,635,1.558,643,1.08,679,0.792,690,1.08,696,2.537,701,0.972,706,0.584,714,1.55,715,1.805,723,1.359,758,1.08,786,1.066,811,0.963,815,1.207,822,0.648,823,0.46,824,0.79,826,1.259,860,2.685,868,1.558,875,0.748,876,1.795,881,1.55,891,1.076,898,1.149,904,2.327,906,2.137,912,1.207,913,1.08,915,1.805,917,1.272,919,2.022,925,1.805,928,1.805,931,1.207,935,1.725,937,1.724,944,1.55,952,1.08,955,2.143,959,0.584,964,2.413,977,0.877,1016,0.584,1030,1.08,1043,0.972,1081,0.869,1084,0.792,1098,0.877,1105,0.717,1129,1.805,1143,0.584,1195,4.781,1218,1.795,1223,1.55,1229,1.445,1232,1.805,1240,2.305,1351,1.066,1352,1.273,1356,1.745,1360,1.304,1382,1.55,1397,2.373,1408,1.207,1410,1.207,1421,1.066,1428,2.022,1437,2.633,1507,1.805,1532,2.305,1536,2.673,1545,1.207,1546,1.359,1588,1.08,1602,1.557,1615,0.717,1618,3.632,1625,1.55,1629,1.795,1633,1.805,1638,1.207,1653,1.55,1657,1.55,1713,1.805,1715,1.805,1729,2.685,1773,1.08,1777,3.257,1778,1.55,1787,1.805,1790,0.972,1818,1.805,1823,1.805,1825,1.805,1826,1.805,1827,1.55,1838,1.911,1863,2.752,1873,1.795,1883,1.55,1898,1.55,1909,1.55,1913,2.685,1915,1.805,1926,1.805,1928,2.994,1932,1.805,1943,1.55,2077,0.972,2094,2.685,2095,2.685,2099,1.207,2143,1.207,2144,1.805,2155,1.55,2201,1.805,2219,1.805,2231,1.55,2232,1.805,2254,1.55,2268,2.022,2269,2.379,2285,1.805,2286,3.549,2302,1.805,2330,1.805,2331,2.685,2334,1.805,2375,3.549,2382,1.08,2441,2.685,2450,2.685,2451,1.55,2453,1.55,2471,1.805,2480,1.55,2481,2.752,2537,1.607,2649,2.752,2738,1.805,2742,1.805,2746,1.55,2758,2.305,2763,1.805,2783,1.805,2814,2.193,2815,3.261,2816,2.193,2817,2.193,2818,3.261,2819,2.193,2820,2.193,2821,2.193,2822,3.261,2823,2.193,2824,2.193,2825,2.193,2826,2.193,2827,4.608,2828,4.608,2829,3.261,2830,3.261,2831,3.261,2832,3.893,2833,4.311,2834,2.193,2835,2.193,2836,5.344,2837,2.193,2838,2.193,2839,2.193,2840,2.193,2841,2.193,2842,2.193,2843,2.193,2844,2.193,2845,2.193,2846,2.193,2847,2.193,2848,2.193,2849,2.193,2850,2.193,2851,2.193,2852,2.193,2853,2.193,2854,2.193,2855,2.193,2856,2.193,2857,2.193,2858,2.193,2859,2.193,2860,2.193,2861,2.193,2862,2.193,2863,3.261,2864,2.193,2865,2.193,2866,5.139,2867,5.139,2868,3.261,2869,3.261,2870,3.261,2871,4.83,2872,3.261,2873,3.261,2874,2.193,2875,2.193,2876,2.193,2877,4.83,2878,5.139,2879,2.193,2880,3.893,2881,2.193,2882,3.261,2883,2.193,2884,3.261,2885,3.261,2886,2.193,2887,2.193,2888,2.193,2889,2.193,2890,3.261,2891,2.193,2892,2.193,2893,3.261,2894,2.193,2895,1.805,2896,2.193,2897,3.893,2898,2.193,2899,2.193,2900,5.344,2901,3.893,2902,2.193,2903,2.193,2904,2.193,2905,2.193,2906,2.193,2907,2.193,2908,2.193,2909,2.193,2910,5.344,2911,2.193,2912,2.193,2913,1.55,2914,2.193,2915,2.193,2916,2.193,2917,3.261,2918,2.193,2919,3.205,2920,2.193,2921,5.344,2922,3.261,2923,2.193,2924,2.193,2925,2.193,2926,2.193,2927,3.261,2928,3.261,2929,2.193,2930,2.193,2931,2.193,2932,2.193,2933,2.193,2934,2.193,2935,2.193,2936,2.193,2937,3.261,2938,1.55,2939,2.193,2940,2.193,2941,2.193,2942,2.193,2943,2.193,2944,2.193,2945,2.193,2946,2.193,2947,2.193,2948,2.193,2949,3.261,2950,2.193,2951,2.193,2952,2.193,2953,2.193,2954,2.193,2955,2.193,2956,2.193,2957,2.193,2958,2.193,2959,2.193,2960,2.193,2961,2.193,2962,2.193,2963,2.193,2964,2.193,2965,2.193,2966,2.193,2967,2.193,2968,2.193,2969,2.193,2970,2.193,2971,2.193,2972,4.311,2973,2.193,2974,2.193,2975,2.193,2976,3.893,2977,2.193,2978,2.193,2979,2.193,2980,3.205,2981,3.261,2982,3.261,2983,2.193,2984,2.193,2985,2.193,2986,2.193,2987,2.193,2988,2.193,2989,2.193,2990,2.193,2991,2.193,2992,2.193,2993,2.193,2994,3.261,2995,2.193,2996,2.193,2997,2.193,2998,2.193,2999,2.193,3000,2.193,3001,2.193,3002,2.193,3003,2.193,3004,2.193,3005,2.193,3006,2.193,3007,2.193,3008,2.193,3009,2.193,3010,2.193,3011,3.261,3012,3.261,3013,2.193,3014,2.193,3015,2.193,3016,2.193,3017,2.193,3018,2.193,3019,3.261,3020,2.193,3021,2.193,3022,2.193,3023,2.193,3024,2.193]],["t/21",[28,0.159,31,0.015,623,1.033,1084,0.843,3025,1.92]],["b/21",[1,0.018,2,0.17,3,0.03,4,0.028,5,0.018,6,0.018,7,0.039,8,0.025,9,0.018,10,0.018,11,0.018,12,0.018,13,0.026,14,0.029,15,0.018,16,0.312,17,0.028,18,0.018,19,0.018,20,0.032,21,0.07,22,0.155,23,0.018,24,0.08,25,0.07,26,0.018,27,0.018,28,0.386,29,0.032,30,0.018,31,0.025,32,0.018,33,0.018,34,0.025,35,0.03,36,0.026,37,0.018,38,0.018,39,0.018,40,0.018,41,0.018,42,0.018,43,0.057,44,0.057,45,0.057,46,0.078,47,0.096,48,0.096,49,0.096,50,0.057,51,0.096,57,1.034,61,0.104,87,0.762,89,0.429,95,0.164,96,0.615,99,0.403,101,0.867,102,2.022,103,1.051,107,0.591,114,0.615,121,0.615,122,1.773,123,0.018,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.018,133,0.018,134,0.018,135,0.018,137,0.374,148,1.034,151,0.762,154,1.773,164,0.429,165,0.762,174,0.844,175,1.165,184,1.426,194,0.549,244,2.022,252,1.574,255,1.144,261,1.773,360,0.762,363,1.267,369,1.773,469,2.022,470,0.844,478,1.409,502,0.43,505,0.615,515,2.022,517,1.476,525,1.165,566,1.034,568,1.773,576,0.762,578,2.354,617,1.574,623,1.748,629,1.409,630,1.773,701,1.267,708,1.144,772,1.574,783,2.354,786,0.934,811,0.844,819,2.022,823,0.273,824,0.741,826,1.225,875,0.867,889,1.409,891,0.615,898,1.051,899,1.034,901,1.267,904,2.002,906,1.578,931,1.574,932,1.409,940,1.144,952,1.409,959,1.361,977,1.144,1032,2.022,1043,1.748,1057,1.267,1083,1.574,1084,1.632,1086,2.022,1088,1.034,1097,1.773,1098,1.947,1099,1.773,1100,3.193,1101,2.486,1102,2.172,1103,2.022,1104,2.354,1105,0.934,1106,1.578,1108,1.144,1109,2.022,1112,2.022,1113,2.022,1114,1.574,1115,1.409,1116,2.172,1117,2.022,1118,2.022,1120,1.267,1121,1.034,1122,1.267,1131,1.574,1143,0.762,1193,2.446,1218,1.574,1221,2.789,1250,1.034,1352,1.438,1356,1.993,1360,2.205,1386,2.354,1421,0.934,1443,1.773,1545,1.574,1552,2.022,1562,1.773,1607,1.574,1609,1.773,1615,1.289,1786,2.354,1836,2.791,1838,2.481,1847,2.158,1902,1.578,1954,3.019,2043,2.789,2054,2.022,2077,1.267,2099,2.486,2143,1.574,2209,2.022,2251,2.354,2254,2.022,2269,2.717,2353,2.354,2423,2.022,2432,2.399,2480,2.789,2524,4.456,2537,1.409,2557,4.348,2558,4.206,2645,2.354,2648,3.719,2733,2.354,2746,2.022,2758,3.733,2760,2.022,2785,2.354,2786,3.719,2913,2.022,2938,2.022,3025,3.719,3026,2.86,3027,2.86,3028,2.86,3029,2.86,3030,2.86,3031,2.86,3032,5.282,3033,2.86,3034,4.869,3035,4.869,3036,4.869,3037,4.869,3038,4.869,3039,2.86,3040,2.86,3041,2.86,3042,2.86,3043,2.86,3044,2.86,3045,3.248,3046,2.86,3047,2.86,3048,3.248,3049,2.86,3050,5.109,3051,4.206,3052,5.413,3053,2.86,3054,2.86,3055,5.282,3056,2.86,3057,2.86,3058,2.86,3059,2.86,3060,2.86,3061,3.945,3062,2.86,3063,3.945,3064,2.86,3065,4.517,3066,4.517,3067,2.86,3068,3.945,3069,3.945,3070,3.945,3071,2.86,3072,2.86,3073,2.86,3074,2.86,3075,2.86,3076,2.86,3077,2.86,3078,2.86,3079,2.86,3080,2.354,3081,2.86,3082,3.945,3083,2.86,3084,2.86,3085,2.86,3086,2.86,3087,2.86,3088,2.86,3089,2.86,3090,2.86,3091,2.86,3092,2.86,3093,3.945,3094,2.86,3095,3.945,3096,2.86,3097,3.945,3098,2.86,3099,4.517,3100,2.86,3101,2.86,3102,2.86,3103,2.86,3104,2.86,3105,2.86,3106,2.86,3107,2.86,3108,4.517,3109,2.86,3110,2.86,3111,2.86,3112,2.86,3113,3.945,3114,2.86,3115,2.86,3116,2.86,3117,2.86,3118,2.86,3119,2.86,3120,2.86,3121,2.86,3122,2.86,3123,4.869,3124,4.517,3125,3.945,3126,2.86,3127,2.86,3128,2.86,3129,2.86,3130,2.86,3131,2.86,3132,2.86,3133,2.86,3134,2.86,3135,2.86,3136,2.86,3137,2.86,3138,2.86,3139,2.86,3140,2.86,3141,2.86,3142,2.86,3143,2.86,3144,2.86,3145,3.945]],["t/22",[28,0.159,32,0.015,804,1.149,875,0.448,2482,1.648]],["b/22",[1,0.025,2,0.184,3,0.025,4,0.025,5,0.019,6,0.029,7,0.039,8,0.032,9,0.019,10,0.019,11,0.018,12,0.018,13,0.026,14,0.026,15,0.018,16,0.278,17,0.032,18,0.018,19,0.018,20,0.018,21,0.071,22,0.138,23,0.018,24,0.081,25,0.071,26,0.019,27,0.019,28,0.382,29,0.018,30,0.028,31,0.018,32,0.025,33,0.018,34,0.018,35,0.025,36,0.026,37,0.019,38,0.018,39,0.018,40,0.018,41,0.019,42,0.018,43,0.057,44,0.057,45,0.057,46,0.079,47,0.098,48,0.134,49,0.098,50,0.057,51,0.098,61,0.097,69,0.696,75,1.8,84,0.858,88,1.287,89,0.436,95,0.189,96,0.858,99,0.314,101,0.558,107,0.38,108,0.696,114,1.054,120,0.858,121,0.625,123,0.019,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.019,133,0.019,134,0.019,135,0.019,164,0.683,165,0.774,172,1.431,176,0.858,194,0.558,195,1.287,205,0.949,216,1.414,243,0.771,249,1.431,255,1.594,261,1.8,298,2.391,363,1.092,382,2.053,403,1.431,471,3.282,474,2.391,478,1.431,525,1.177,552,1.062,566,1.049,572,2.053,623,1.287,690,1.431,693,1.447,707,0.858,750,0.949,752,1.599,772,1.599,791,1.8,804,2.531,822,0.858,823,0.38,824,0.774,826,1.092,868,1.049,875,0.874,880,0.949,891,0.625,898,0.774,899,1.049,901,1.287,904,2.276,906,2.054,916,3.749,917,0.949,931,1.599,937,1.161,940,1.161,941,2.415,949,2.472,959,0.774,1000,1.599,1016,0.774,1064,2.053,1065,3.464,1068,1.287,1071,2.053,1084,1.049,1088,1.049,1103,2.053,1120,1.287,1121,1.049,1122,2.018,1123,1.161,1125,3.218,1131,2.506,1143,0.774,1157,2.391,1218,1.599,1229,1.287,1245,2.053,1250,1.441,1252,2.391,1351,1.303,1352,1.567,1356,2.074,1360,1.161,1397,2.921,1413,2.818,1421,0.949,1428,3.184,1437,1.964,1443,1.8,1447,2.391,1514,2.818,1543,2.053,1545,1.599,1546,1.8,1549,1.8,1588,1.964,1605,2.472,1615,1.678,1616,1.431,1627,1.431,1638,1.599,1643,4.035,1731,3.749,1732,1.599,1737,2.053,1769,2.053,1773,1.431,1847,1.287,1854,2.391,1873,1.599,1954,2.472,1981,2.391,1994,1.287,2143,2.195,2155,2.818,2209,2.053,2284,2.391,2423,2.053,2432,1.431,2451,2.053,2453,2.053,2482,3.218,2537,1.431,2649,2.818,2652,2.391,2655,2.391,2760,2.818,2784,2.391,2787,4.229,2789,2.391,2790,3.282,2791,2.391,2792,3.282,2794,2.391,2895,4.035,2913,2.053,2919,2.391,3045,4.229,3048,3.282,3051,3.749,3080,4.229,3146,2.904,3147,2.904,3148,2.904,3149,2.904,3150,2.904,3151,2.904,3152,3.987,3153,2.904,3154,2.904,3155,3.987,3156,3.987,3157,2.904,3158,2.904,3159,2.904,3160,2.904,3161,3.987,3162,3.987,3163,3.987,3164,3.987,3165,3.987,3166,3.987,3167,3.987,3168,3.987,3169,3.987,3170,3.987,3171,3.987,3172,2.904,3173,2.904,3174,3.987,3175,3.987,3176,4.553,3177,2.904,3178,2.904,3179,2.904,3180,2.904,3181,2.904,3182,2.904,3183,2.904,3184,2.904,3185,2.904,3186,4.553,3187,2.904,3188,2.904,3189,2.904,3190,2.904,3191,2.904,3192,3.987,3193,2.904,3194,2.904,3195,2.904,3196,2.904,3197,2.904,3198,4.553,3199,2.904,3200,3.987,3201,2.391,3202,2.904,3203,2.904,3204,2.904,3205,2.904,3206,2.904,3207,2.904,3208,2.904,3209,3.987,3210,3.987,3211,2.904,3212,3.987,3213,3.987,3214,3.987,3215,2.904,3216,2.904,3217,4.901,3218,2.904,3219,2.904,3220,2.904,3221,2.904,3222,2.904,3223,2.904,3224,2.904,3225,2.904,3226,2.904,3227,2.904,3228,2.904,3229,2.904,3230,2.904,3231,2.904,3232,2.904,3233,4.553,3234,3.987,3235,2.904,3236,2.904,3237,2.904,3238,4.553,3239,4.553,3240,2.904,3241,2.904,3242,2.391,3243,3.987,3244,3.987,3245,3.987,3246,2.904,3247,2.904,3248,2.904,3249,2.904,3250,2.904,3251,2.904,3252,2.904,3253,2.904,3254,2.904,3255,2.904,3256,2.904,3257,3.282,3258,2.904,3259,2.904,3260,2.904,3261,2.391,3262,2.904,3263,2.904,3264,2.904,3265,2.904,3266,2.904,3267,2.904,3268,2.904,3269,2.904,3270,2.904,3271,2.904,3272,2.904,3273,2.904,3274,2.904,3275,2.904,3276,2.904,3277,2.904,3278,2.904,3279,2.904,3280,2.904,3281,2.904,3282,2.904,3283,2.904,3284,3.987,3285,2.904,3286,2.904,3287,2.904,3288,2.904,3289,2.904,3290,3.987,3291,2.904,3292,2.904,3293,2.904]],["t/23",[16,0.126,28,0.159,33,0.015,1209,0.932,1665,1.446]],["b/23",[1,0.029,2,0.196,3,0.029,4,0.026,5,0.02,6,0.027,7,0.039,8,0.033,9,0.02,10,0.02,11,0.019,12,0.019,13,0.03,14,0.027,15,0.019,16,0.291,17,0.026,18,0.019,19,0.019,20,0.033,21,0.073,22,0.14,23,0.019,24,0.083,25,0.073,26,0.02,27,0.02,28,0.386,29,0.026,30,0.019,31,0.026,32,0.019,33,0.031,34,0.026,35,0.019,36,0.027,37,0.02,38,0.019,39,0.019,40,0.019,41,0.027,42,0.019,43,0.06,44,0.06,45,0.06,46,0.081,47,0.102,48,0.138,49,0.102,50,0.06,51,0.102,61,0.06,95,0.175,96,0.653,99,0.239,107,0.397,113,3.333,123,0.02,124,0.02,125,0.02,126,0.02,127,0.02,128,0.02,129,0.02,130,0.02,131,0.02,132,0.02,133,0.02,134,0.02,135,0.02,137,0.397,158,2.144,159,0.397,161,2.024,165,0.808,166,1.67,174,0.896,185,1.495,192,1.881,200,1.203,205,0.991,216,1.094,243,0.455,290,1.096,363,0.985,403,1.495,478,1.495,496,0.653,502,0.391,507,1.096,525,1.213,558,0.991,628,1.67,635,1.096,693,1.213,697,1.213,707,1.674,735,1.344,750,1.342,814,2.144,822,0.896,823,0.546,824,0.732,891,1.122,898,1.094,899,1.484,901,1.82,904,2.383,906,2.15,917,0.991,937,1.862,940,1.213,941,1.495,959,0.808,995,3.886,1000,1.67,1016,0.808,1029,2.498,1036,1.881,1038,2.904,1063,2.498,1068,1.82,1069,2.144,1088,1.484,1105,0.991,1120,1.82,1121,1.484,1122,1.82,1123,1.213,1131,1.67,1141,2.546,1142,1.344,1171,2.498,1185,2.261,1209,2.236,1218,2.261,1229,1.344,1364,1.881,1367,2.904,1374,2.498,1435,2.498,1437,2.459,1543,2.144,1602,1.643,1615,0.991,1619,1.881,1630,2.144,1631,3.382,1638,1.67,1655,2.144,1665,2.546,1666,2.904,1716,2.498,1717,2.498,1732,1.67,1873,1.67,1881,3.834,1882,2.498,1900,2.498,1919,2.546,1942,2.498,1994,1.344,2064,2.498,2070,2.144,2103,2.144,2119,2.887,2121,1.881,2122,1.881,2123,1.881,2124,1.881,2125,1.881,2126,1.881,2129,2.904,2142,2.144,2197,2.144,2198,2.144,2374,1.881,2382,1.495,2390,2.144,2392,2.144,2422,2.498,2424,2.144,2443,3.382,2537,1.495,2654,2.498,2669,2.498,2938,2.144,2980,4.526,3201,2.498,3242,2.498,3257,2.498,3261,2.498,3294,3.034,3295,3.034,3296,3.034,3297,3.034,3298,3.034,3299,3.034,3300,4.108,3301,4.657,3302,3.034,3303,4.108,3304,3.034,3305,3.034,3306,3.034,3307,3.034,3308,3.034,3309,3.034,3310,3.034,3311,4.108,3312,3.034,3313,3.034,3314,3.034,3315,3.034,3316,3.034,3317,3.034,3318,3.034,3319,3.034,3320,3.034,3321,3.034,3322,3.034,3323,3.034,3324,4.108,3325,3.034,3326,3.034,3327,3.034,3328,3.034,3329,3.034,3330,3.034,3331,3.034,3332,3.034,3333,3.034,3334,3.034,3335,3.034,3336,3.034,3337,3.034,3338,3.834,3339,3.034,3340,3.034,3341,3.034,3342,3.034,3343,3.034,3344,3.034,3345,3.034,3346,3.034,3347,4.108,3348,3.034,3349,4.108,3350,3.034,3351,3.034,3352,3.034,3353,3.034,3354,4.108,3355,3.034,3356,3.034,3357,3.034,3358,3.034,3359,3.034,3360,3.034,3361,3.034,3362,3.034,3363,3.034,3364,3.034,3365,3.034,3366,4.991,3367,3.034,3368,3.034,3369,3.034,3370,3.034,3371,3.034,3372,3.034,3373,3.034,3374,3.034,3375,4.108,3376,3.034,3377,3.034,3378,3.034,3379,3.034,3380,3.034,3381,3.034,3382,3.034,3383,3.034,3384,3.034,3385,3.034,3386,3.034,3387,3.034,3388,3.034,3389,3.034,3390,3.034,3391,3.034]],["t/24",[28,0.159,34,0.015,60,0.843,159,0.305,1902,0.932]],["b/24",[1,0.024,2,0.206,3,0.03,4,0.03,5,0.025,6,0.031,7,0.039,8,0.03,9,0.025,10,0.025,11,0.024,12,0.024,13,0.031,14,0.034,15,0.024,16,0.297,17,0.03,18,0.024,19,0.024,20,0.033,21,0.086,22,0.162,23,0.024,24,0.093,25,0.086,26,0.025,27,0.025,28,0.404,29,0.024,30,0.024,31,0.024,32,0.024,33,0.024,34,0.03,35,0.024,36,0.031,37,0.025,38,0.024,39,0.024,40,0.024,41,0.025,42,0.024,43,0.077,44,0.077,45,0.077,46,0.095,47,0.13,48,0.13,49,0.13,50,0.077,51,0.13,60,1.403,61,0.095,69,0.931,92,1.72,95,0.13,99,0.413,123,0.025,124,0.025,125,0.025,126,0.025,127,0.025,128,0.025,129,0.025,130,0.025,131,0.025,132,0.025,133,0.025,134,0.025,135,0.025,159,0.508,165,1.034,249,1.912,378,0.835,496,1.325,565,1.403,692,1.72,693,1.146,705,1.552,706,1.284,786,1.268,822,1.146,823,0.548,824,0.738,888,1.403,932,1.912,995,3.407,1071,2.744,1088,1.403,1120,1.72,1121,1.403,1122,1.72,1131,2.137,1143,1.034,1239,1.552,1245,2.744,1352,1.146,1372,3.196,1421,1.268,1602,1.552,1605,2.406,1629,2.137,1638,2.137,1822,2.744,1847,1.72,1902,1.552,2070,2.744,2291,3.196,2424,2.744,2432,2.375,2483,3.196,3338,3.969,3392,3.882,3393,3.882,3394,3.882,3395,3.882,3396,3.882,3397,3.882,3398,3.882,3399,3.882,3400,4.821,3401,3.882,3402,3.882,3403,3.882,3404,3.882,3405,3.882,3406,3.882,3407,3.882,3408,3.882,3409,3.882,3410,5.243,3411,3.882,3412,3.882,3413,3.882,3414,3.882,3415,3.882,3416,3.882,3417,3.882,3418,3.882,3419,3.882,3420,3.882,3421,3.882,3422,3.882,3423,3.882,3424,3.882,3425,3.882,3426,3.882,3427,3.882]],["t/25",[7,0.018,1897,1.623,3428,2.949]],["b/25",[1,0.028,2,0.209,3,0.028,4,0.028,5,0.029,6,0.029,7,0.039,8,0.028,9,0.029,10,0.029,11,0.028,12,0.028,13,0.029,14,0.029,15,0.028,16,0.301,17,0.028,18,0.028,19,0.028,20,0.028,21,0.093,22,0.156,23,0.028,24,0.099,25,0.093,26,0.029,27,0.029,28,0.411,29,0.028,30,0.028,31,0.028,32,0.028,33,0.028,34,0.028,35,0.028,36,0.034,37,0.029,38,0.028,39,0.028,40,0.028,41,0.029,42,0.028,123,0.029,124,0.029,125,0.029,126,0.029,127,0.029,128,0.029,129,0.029,130,0.029,131,0.029,132,0.029,133,0.029,134,0.029,135,0.029,173,1.312,517,1.452,719,3.14,1897,2.445]]],"invertedIndex":[["",{"_index":7,"t":{"25":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["0",{"_index":205,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"11":{},"12":{},"15":{},"19":{},"22":{},"23":{}}}],["0.0",{"_index":216,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["0.0001",{"_index":1129,"t":{},"b":{"4":{},"20":{}}}],["0.000692",{"_index":2777,"t":{},"b":{"19":{}}}],["0.001636",{"_index":2849,"t":{},"b":{"20":{}}}],["0.001716",{"_index":2847,"t":{},"b":{"20":{}}}],["0.002",{"_index":2872,"t":{},"b":{"20":{}}}],["0.003",{"_index":2868,"t":{},"b":{"20":{}}}],["0.0031384",{"_index":2855,"t":{},"b":{"20":{}}}],["0.0038344",{"_index":2843,"t":{},"b":{"20":{}}}],["0.0039192",{"_index":2845,"t":{},"b":{"20":{}}}],["0.004",{"_index":2870,"t":{},"b":{"20":{}}}],["0.0056096",{"_index":2851,"t":{},"b":{"20":{}}}],["0.006",{"_index":2869,"t":{},"b":{"20":{}}}],["0.00632",{"_index":202,"t":{},"b":{"1":{},"19":{}}}],["0.007",{"_index":2873,"t":{},"b":{"20":{}}}],["0.00931",{"_index":2782,"t":{},"b":{"19":{}}}],["0.01",{"_index":2867,"t":{},"b":{"20":{}}}],["0.0123",{"_index":2780,"t":{},"b":{"19":{}}}],["0.014946393332429867",{"_index":2633,"t":{},"b":{"18":{}}}],["0.02",{"_index":2871,"t":{},"b":{"20":{}}}],["0.0206",{"_index":2769,"t":{},"b":{"19":{}}}],["0.02729",{"_index":226,"t":{},"b":{"1":{},"19":{}}}],["0.02731",{"_index":215,"t":{},"b":{"1":{},"19":{}}}],["0.03",{"_index":1195,"t":{},"b":{"5":{},"20":{}}}],["0.03237",{"_index":232,"t":{},"b":{"1":{}}}],["0.0352",{"_index":1816,"t":{},"b":{"7":{}}}],["0.04",{"_index":2866,"t":{},"b":{"20":{}}}],["0.0464",{"_index":2768,"t":{},"b":{"19":{}}}],["0.04968535941630985",{"_index":2038,"t":{},"b":{"10":{}}}],["0.05",{"_index":2441,"t":{},"b":{"15":{},"20":{}}}],["0.0556",{"_index":1872,"t":{},"b":{"7":{}}}],["0.06859694610517136",{"_index":2037,"t":{},"b":{"10":{}}}],["0.06905",{"_index":250,"t":{},"b":{"1":{}}}],["0.06917",{"_index":306,"t":{},"b":{"1":{},"19":{}}}],["0.08334382428960498",{"_index":2040,"t":{},"b":{"10":{}}}],["0.09410638348155964",{"_index":2276,"t":{},"b":{"13":{}}}],["0.09988918161681738",{"_index":2047,"t":{},"b":{"10":{}}}],["0.1",{"_index":499,"t":{},"b":{"1":{},"4":{}}}],["0.1*rand(300",{"_index":2010,"t":{},"b":{"10":{},"13":{},"14":{}}}],["0.105386",{"_index":535,"t":{},"b":{"1":{}}}],["0.10592225645600521",{"_index":2035,"t":{},"b":{"10":{}}}],["0.108",{"_index":2767,"t":{},"b":{"19":{}}}],["0.111",{"_index":1871,"t":{},"b":{"7":{}}}],["0.1111111111111111",{"_index":2429,"t":{},"b":{"15":{}}}],["0.115878",{"_index":311,"t":{},"b":{"1":{},"19":{}}}],["0.11590837511873998",{"_index":2023,"t":{},"b":{"10":{}}}],["0.11813112049190187",{"_index":2041,"t":{},"b":{"10":{}}}],["0.124453",{"_index":1756,"t":{},"b":{"7":{}}}],["0.1308465569235377",{"_index":2036,"t":{},"b":{"10":{}}}],["0.14873128247437858",{"_index":2039,"t":{},"b":{"10":{}}}],["0.173664",{"_index":521,"t":{},"b":{"1":{}}}],["0.191073",{"_index":2315,"t":{},"b":{"13":{}}}],["0.19494098436892582",{"_index":2449,"t":{},"b":{"15":{}}}],["0.197753",{"_index":538,"t":{},"b":{"1":{}}}],["0.2",{"_index":460,"t":{},"b":{"1":{},"8":{}}}],["0.228572",{"_index":1762,"t":{},"b":{"7":{}}}],["0.234",{"_index":1637,"t":{},"b":{"6":{}}}],["0.246",{"_index":500,"t":{},"b":{"1":{}}}],["0.25264964046120225",{"_index":2179,"t":{},"b":{"11":{}}}],["0.253994",{"_index":307,"t":{},"b":{"1":{},"19":{}}}],["0.25651",{"_index":296,"t":{},"b":{"1":{}}}],["0.274344",{"_index":1746,"t":{},"b":{"7":{}}}],["0.27465",{"_index":541,"t":{},"b":{"1":{}}}],["0.278",{"_index":1662,"t":{},"b":{"6":{}}}],["0.2999012171698161",{"_index":2277,"t":{},"b":{"13":{}}}],["0.3",{"_index":1035,"t":{},"b":{"4":{},"5":{}}}],["0.3013103535440822",{"_index":2281,"t":{},"b":{"13":{}}}],["0.306",{"_index":2779,"t":{},"b":{"19":{}}}],["0.313798",{"_index":537,"t":{},"b":{"1":{}}}],["0.32",{"_index":344,"t":{},"b":{"1":{}}}],["0.322497",{"_index":540,"t":{},"b":{"1":{}}}],["0.3277498771713516",{"_index":2136,"t":{},"b":{"11":{}}}],["0.35249",{"_index":533,"t":{},"b":{"1":{}}}],["0.360357",{"_index":2854,"t":{},"b":{"20":{}}}],["0.361854",{"_index":1755,"t":{},"b":{"7":{}}}],["0.379064",{"_index":534,"t":{},"b":{"1":{}}}],["0.385",{"_index":308,"t":{},"b":{"1":{}}}],["0.39",{"_index":2256,"t":{},"b":{"12":{}}}],["0.3z",{"_index":988,"t":{},"b":{"4":{}}}],["0.4069405144799101",{"_index":2280,"t":{},"b":{"13":{}}}],["0.4111301767644082",{"_index":2279,"t":{},"b":{"13":{}}}],["0.4174696748484731",{"_index":2563,"t":{},"b":{"17":{}}}],["0.458",{"_index":234,"t":{},"b":{"1":{}}}],["0.46",{"_index":301,"t":{},"b":{"1":{}}}],["0.469",{"_index":218,"t":{},"b":{"1":{},"19":{}}}],["0.469911",{"_index":522,"t":{},"b":{"1":{}}}],["0.5",{"_index":1218,"t":{},"b":{"5":{},"20":{},"21":{},"22":{},"23":{}}}],["0.516171",{"_index":536,"t":{},"b":{"1":{}}}],["0.521",{"_index":2927,"t":{},"b":{"20":{}}}],["0.525",{"_index":2783,"t":{},"b":{"19":{},"20":{}}}],["0.5303646605536807",{"_index":2275,"t":{},"b":{"13":{}}}],["0.538",{"_index":206,"t":{},"b":{"1":{},"19":{}}}],["0.5499402666491009",{"_index":2282,"t":{},"b":{"13":{}}}],["0.551895",{"_index":523,"t":{},"b":{"1":{}}}],["0.554695",{"_index":310,"t":{},"b":{"1":{},"19":{}}}],["0.572359",{"_index":1758,"t":{},"b":{"7":{}}}],["0.58",{"_index":664,"t":{},"b":{"2":{}}}],["0.6",{"_index":501,"t":{},"b":{"1":{},"5":{}}}],["0.625851",{"_index":1752,"t":{},"b":{"7":{}}}],["0.629",{"_index":2931,"t":{},"b":{"20":{}}}],["0.63588",{"_index":539,"t":{},"b":{"1":{}}}],["0.638",{"_index":669,"t":{},"b":{"2":{}}}],["0.690031",{"_index":2314,"t":{},"b":{"13":{}}}],["0.7",{"_index":2012,"t":{},"b":{"10":{},"12":{},"15":{}}}],["0.70",{"_index":900,"t":{},"b":{"4":{},"5":{}}}],["0.702617",{"_index":317,"t":{},"b":{"1":{},"19":{}}}],["0.70999",{"_index":1764,"t":{},"b":{"7":{}}}],["0.7142857142857143",{"_index":1403,"t":{},"b":{"5":{}}}],["0.7222222222222222",{"_index":2083,"t":{},"b":{"10":{}}}],["0.7233074812209765",{"_index":2564,"t":{},"b":{"17":{}}}],["0.75",{"_index":2187,"t":{},"b":{"11":{}}}],["0.776",{"_index":1414,"t":{},"b":{"5":{}}}],["0.777009169833947",{"_index":2278,"t":{},"b":{"13":{}}}],["0.782",{"_index":2929,"t":{},"b":{"20":{}}}],["0.7z",{"_index":989,"t":{},"b":{"4":{}}}],["0.8",{"_index":1790,"t":{},"b":{"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"20":{}}}],["0.805518",{"_index":2695,"t":{},"b":{"18":{}}}],["0.811827",{"_index":1742,"t":{},"b":{"7":{}}}],["0.8285714285714286",{"_index":1432,"t":{},"b":{"5":{}}}],["0.829",{"_index":659,"t":{},"b":{"2":{}}}],["0.831",{"_index":670,"t":{},"b":{"2":{}}}],["0.8495024908781252",{"_index":2283,"t":{},"b":{"13":{}}}],["0.854028",{"_index":2319,"t":{},"b":{"13":{}}}],["0.863",{"_index":665,"t":{},"b":{"2":{}}}],["0.871",{"_index":309,"t":{},"b":{"1":{}}}],["0.9436456234171869",{"_index":2565,"t":{},"b":{"17":{}}}],["0.949",{"_index":1415,"t":{},"b":{"5":{}}}],["0.95",{"_index":2755,"t":{},"b":{"19":{}}}],["0.953",{"_index":2781,"t":{},"b":{"19":{}}}],["0.957449",{"_index":1761,"t":{},"b":{"7":{}}}],["0.9655342205668823",{"_index":2528,"t":{},"b":{"17":{}}}],["0.9933515571990573",{"_index":2529,"t":{},"b":{"17":{}}}],["0.9948656295933646",{"_index":2634,"t":{},"b":{"18":{}}}],["0.998859",{"_index":1754,"t":{},"b":{"7":{}}}],["0.9991510921213993",{"_index":2530,"t":{},"b":{"17":{}}}],["0.9997505816044248",{"_index":2566,"t":{},"b":{"17":{}}}],["0.9998956501446636",{"_index":2567,"t":{},"b":{"17":{}}}],["0.9999999999999998",{"_index":2568,"t":{},"b":{"17":{}}}],["01",{"_index":589,"t":{},"b":{"2":{}}}],["01,2019",{"_index":590,"t":{},"b":{"2":{}}}],["01t00:00:00",{"_index":612,"t":{},"b":{"2":{}}}],["01t00:00:00,true",{"_index":591,"t":{},"b":{"2":{}}}],["02",{"_index":614,"t":{},"b":{"2":{}}}],["02,2019",{"_index":593,"t":{},"b":{"2":{}}}],["02t00:00:00",{"_index":615,"t":{},"b":{"2":{}}}],["02t00:00:00,fals",{"_index":594,"t":{},"b":{"2":{}}}],["03",{"_index":618,"t":{},"b":{"2":{}}}],["03,2019",{"_index":596,"t":{},"b":{"2":{}}}],["03t00:00:00",{"_index":619,"t":{},"b":{"2":{}}}],["03t00:00:00,true",{"_index":597,"t":{},"b":{"2":{}}}],["0x00000001",{"_index":2222,"t":{},"b":{"12":{}}}],["0x00000002",{"_index":2223,"t":{},"b":{"12":{}}}],["0x00000003",{"_index":2221,"t":{},"b":{"12":{}}}],["1",{"_index":99,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["1)more",{"_index":1136,"t":{},"b":{"5":{}}}],["1,1.0,1,one,2019",{"_index":588,"t":{},"b":{"2":{}}}],["1.0",{"_index":496,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"17":{},"18":{},"20":{},"23":{},"24":{}}}],["1.05874",{"_index":2316,"t":{},"b":{"13":{}}}],["1.06167",{"_index":2318,"t":{},"b":{"13":{}}}],["1.1",{"_index":2939,"t":{},"b":{"20":{}}}],["1.11715",{"_index":1744,"t":{},"b":{"7":{}}}],["1.1296",{"_index":323,"t":{},"b":{"1":{}}}],["1.13628",{"_index":2846,"t":{},"b":{"20":{}}}],["1.1363",{"_index":2844,"t":{},"b":{"20":{}}}],["1.13633",{"_index":2856,"t":{},"b":{"20":{}}}],["1.1387",{"_index":2848,"t":{},"b":{"20":{}}}],["1.13877",{"_index":2850,"t":{},"b":{"20":{}}}],["1.14755",{"_index":2852,"t":{},"b":{"20":{}}}],["1.16",{"_index":2255,"t":{},"b":{"12":{}}}],["1.2",{"_index":1826,"t":{},"b":{"7":{},"20":{}}}],["1.3",{"_index":466,"t":{},"b":{"1":{},"4":{},"8":{},"13":{}}}],["1.348",{"_index":666,"t":{},"b":{"2":{}}}],["1.35423",{"_index":2317,"t":{},"b":{"13":{}}}],["1.4",{"_index":459,"t":{},"b":{"1":{},"8":{}}}],["1.40902",{"_index":2842,"t":{},"b":{"20":{}}}],["1.453",{"_index":661,"t":{},"b":{"2":{}}}],["1.4606176614761353",{"_index":1349,"t":{},"b":{"5":{}}}],["1.4607505798339844",{"_index":1350,"t":{},"b":{"5":{}}}],["1.4607977867126465",{"_index":1348,"t":{},"b":{"5":{}}}],["1.4609676599502563",{"_index":1347,"t":{},"b":{"5":{}}}],["1.4611939191818237",{"_index":1346,"t":{},"b":{"5":{}}}],["1.461545467376709",{"_index":1344,"t":{},"b":{"5":{}}}],["1.4615777730941772",{"_index":1345,"t":{},"b":{"5":{}}}],["1.4619566202163696",{"_index":1343,"t":{},"b":{"5":{}}}],["1.462",{"_index":497,"t":{},"b":{"1":{}}}],["1.4620307683944702",{"_index":1342,"t":{},"b":{"5":{}}}],["1.4620510339736938",{"_index":1341,"t":{},"b":{"5":{}}}],["1.462222695350647",{"_index":1340,"t":{},"b":{"5":{}}}],["1.4623528718948364",{"_index":1337,"t":{},"b":{"5":{}}}],["1.4624465703964233",{"_index":1339,"t":{},"b":{"5":{}}}],["1.462546467781067",{"_index":1336,"t":{},"b":{"5":{}}}],["1.4626270532608032",{"_index":1338,"t":{},"b":{"5":{}}}],["1.4626370668411255",{"_index":1335,"t":{},"b":{"5":{}}}],["1.4626812934875488",{"_index":1334,"t":{},"b":{"5":{}}}],["1.463156819343567",{"_index":1333,"t":{},"b":{"5":{}}}],["1.4633418321609497",{"_index":1332,"t":{},"b":{"5":{}}}],["1.4635329246520996",{"_index":1331,"t":{},"b":{"5":{}}}],["1.4638872146606445",{"_index":1329,"t":{},"b":{"5":{}}}],["1.4639283418655396",{"_index":1330,"t":{},"b":{"5":{}}}],["1.4643359184265137",{"_index":1328,"t":{},"b":{"5":{}}}],["1.46450936794281",{"_index":1327,"t":{},"b":{"5":{}}}],["1.4652198553085327",{"_index":1326,"t":{},"b":{"5":{}}}],["1.4653849601745605",{"_index":1325,"t":{},"b":{"5":{}}}],["1.4660505056381226",{"_index":1324,"t":{},"b":{"5":{}}}],["1.4661484956741333",{"_index":1323,"t":{},"b":{"5":{}}}],["1.4661507606506348",{"_index":1322,"t":{},"b":{"5":{}}}],["1.4666513204574585",{"_index":1321,"t":{},"b":{"5":{}}}],["1.4671438932418823",{"_index":1319,"t":{},"b":{"5":{}}}],["1.4673799276351929",{"_index":1320,"t":{},"b":{"5":{}}}],["1.4676014184951782",{"_index":1318,"t":{},"b":{"5":{}}}],["1.4679924249649048",{"_index":1316,"t":{},"b":{"5":{}}}],["1.468157172203064",{"_index":1317,"t":{},"b":{"5":{}}}],["1.4682527780532837",{"_index":1315,"t":{},"b":{"5":{}}}],["1.4691001176834106",{"_index":1314,"t":{},"b":{"5":{}}}],["1.4691554307937622",{"_index":1313,"t":{},"b":{"5":{}}}],["1.4697991609573364",{"_index":1312,"t":{},"b":{"5":{}}}],["1.470677375793457",{"_index":1311,"t":{},"b":{"5":{}}}],["1.47074556350708",{"_index":1310,"t":{},"b":{"5":{}}}],["1.4713517427444458",{"_index":1309,"t":{},"b":{"5":{}}}],["1.4715490341186523",{"_index":1308,"t":{},"b":{"5":{}}}],["1.4726825952529907",{"_index":1307,"t":{},"b":{"5":{}}}],["1.4731879234313965",{"_index":1306,"t":{},"b":{"5":{}}}],["1.4732745885849",{"_index":1305,"t":{},"b":{"5":{}}}],["1.4743404388427734",{"_index":1302,"t":{},"b":{"5":{}}}],["1.4751825332641602",{"_index":1304,"t":{},"b":{"5":{}}}],["1.475905418395996",{"_index":1301,"t":{},"b":{"5":{}}}],["1.4762519598007202",{"_index":1303,"t":{},"b":{"5":{}}}],["1.4783",{"_index":2853,"t":{},"b":{"20":{}}}],["1.48",{"_index":2778,"t":{},"b":{"19":{}}}],["1.5",{"_index":714,"t":{},"b":{"3":{},"5":{},"20":{}}}],["1.57653",{"_index":2694,"t":{},"b":{"18":{}}}],["1.5909",{"_index":1757,"t":{},"b":{"7":{}}}],["1.676",{"_index":660,"t":{},"b":{"2":{}}}],["1.70578",{"_index":2678,"t":{},"b":{"18":{}}}],["1.73",{"_index":349,"t":{},"b":{"1":{}}}],["1.9",{"_index":498,"t":{},"b":{"1":{}}}],["10",{"_index":35,"t":{"17":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["10.0",{"_index":3324,"t":{},"b":{"23":{}}}],["10.06",{"_index":3325,"t":{},"b":{"23":{}}}],["10.4",{"_index":1577,"t":{},"b":{"6":{}}}],["100",{"_index":1359,"t":{},"b":{"5":{},"6":{},"15":{}}}],["100.0",{"_index":298,"t":{},"b":{"1":{},"22":{}}}],["1000",{"_index":2155,"t":{},"b":{"11":{},"20":{},"22":{}}}],["104",{"_index":2211,"t":{},"b":{"12":{}}}],["104.469",{"_index":2682,"t":{},"b":{"18":{}}}],["104.644",{"_index":2681,"t":{},"b":{"18":{}}}],["105",{"_index":1258,"t":{},"b":{"5":{}}}],["1050",{"_index":1725,"t":{},"b":{"7":{}}}],["1065",{"_index":1724,"t":{},"b":{"7":{}}}],["10x10",{"_index":2071,"t":{},"b":{"10":{}}}],["11",{"_index":337,"t":{},"b":{"1":{},"7":{},"19":{}}}],["11.0",{"_index":2669,"t":{},"b":{"18":{},"23":{}}}],["11.1368",{"_index":303,"t":{},"b":{"1":{},"19":{}}}],["11.22",{"_index":3318,"t":{},"b":{"23":{}}}],["11.36",{"_index":352,"t":{},"b":{"1":{}}}],["11.3636",{"_index":299,"t":{},"b":{"1":{},"19":{}}}],["11.5",{"_index":1585,"t":{},"b":{"6":{},"9":{},"18":{}}}],["110.0",{"_index":3260,"t":{},"b":{"22":{}}}],["1100",{"_index":3217,"t":{},"b":{"22":{}}}],["111.0",{"_index":3319,"t":{},"b":{"23":{}}}],["113.0",{"_index":3326,"t":{},"b":{"23":{}}}],["114",{"_index":1259,"t":{},"b":{"5":{}}}],["11443.0",{"_index":857,"t":{},"b":{"4":{}}}],["1185",{"_index":1726,"t":{},"b":{"7":{}}}],["12",{"_index":343,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"11":{},"19":{}}}],["12.0",{"_index":2654,"t":{},"b":{"18":{},"23":{}}}],["12.1265",{"_index":324,"t":{},"b":{"1":{}}}],["12.6",{"_index":338,"t":{},"b":{"1":{}}}],["12.6531",{"_index":351,"t":{},"b":{"1":{},"19":{}}}],["120.0",{"_index":3316,"t":{},"b":{"23":{}}}],["123",{"_index":1260,"t":{},"b":{"5":{}}}],["1250",{"_index":2825,"t":{},"b":{"20":{}}}],["13",{"_index":348,"t":{},"b":{"1":{},"7":{},"19":{}}}],["13.0006",{"_index":1741,"t":{},"b":{"7":{}}}],["13.1",{"_index":1576,"t":{},"b":{"6":{}}}],["13.9",{"_index":1579,"t":{},"b":{"6":{}}}],["130.0",{"_index":2652,"t":{},"b":{"18":{},"22":{}}}],["1300",{"_index":3214,"t":{},"b":{"22":{}}}],["133",{"_index":1261,"t":{},"b":{"5":{},"6":{}}}],["138.0",{"_index":3313,"t":{},"b":{"23":{}}}],["138000.0",{"_index":871,"t":{},"b":{"4":{}}}],["14",{"_index":354,"t":{},"b":{"1":{},"19":{}}}],["14.2825",{"_index":1750,"t":{},"b":{"7":{}}}],["14.4748",{"_index":2512,"t":{},"b":{"17":{}}}],["140.0",{"_index":3254,"t":{},"b":{"22":{}}}],["141",{"_index":2916,"t":{},"b":{"20":{}}}],["142",{"_index":1262,"t":{},"b":{"5":{}}}],["144",{"_index":2915,"t":{},"b":{"20":{}}}],["1456",{"_index":830,"t":{},"b":{"4":{}}}],["1460.0",{"_index":856,"t":{},"b":{"4":{}}}],["1480",{"_index":1727,"t":{},"b":{"7":{}}}],["15",{"_index":428,"t":{},"b":{"1":{},"10":{}}}],["15.0",{"_index":2659,"t":{},"b":{"18":{}}}],["15.3",{"_index":211,"t":{},"b":{"1":{},"19":{}}}],["15.5",{"_index":2689,"t":{},"b":{"18":{}}}],["15.5413",{"_index":2688,"t":{},"b":{"18":{}}}],["150.0",{"_index":2667,"t":{},"b":{"18":{}}}],["1509.0",{"_index":861,"t":{},"b":{"4":{}}}],["151",{"_index":1263,"t":{},"b":{"5":{}}}],["151.0",{"_index":2680,"t":{},"b":{"18":{}}}],["16",{"_index":430,"t":{},"b":{"1":{},"15":{},"18":{}}}],["16.0",{"_index":3257,"t":{},"b":{"22":{},"23":{}}}],["16.1",{"_index":1156,"t":{},"b":{"5":{}}}],["160",{"_index":1264,"t":{},"b":{"5":{}}}],["165",{"_index":1972,"t":{},"b":{"9":{}}}],["165.0",{"_index":2661,"t":{},"b":{"18":{}}}],["168",{"_index":1974,"t":{},"b":{"9":{}}}],["168.537",{"_index":336,"t":{},"b":{"1":{},"19":{}}}],["169",{"_index":1265,"t":{},"b":{"5":{}}}],["16])3",{"_index":2623,"t":{},"b":{"18":{}}}],["17",{"_index":432,"t":{},"b":{"1":{}}}],["17.0",{"_index":3261,"t":{},"b":{"22":{},"23":{}}}],["17.025000",{"_index":2114,"t":{},"b":{"11":{}}}],["17.2",{"_index":1578,"t":{},"b":{"6":{}}}],["17.5",{"_index":1574,"t":{},"b":{"6":{}}}],["17.8",{"_index":223,"t":{},"b":{"1":{},"19":{}}}],["170.76",{"_index":2509,"t":{},"b":{"17":{}}}],["173",{"_index":1973,"t":{},"b":{"9":{}}}],["178",{"_index":1970,"t":{},"b":{"9":{}}}],["179",{"_index":1266,"t":{},"b":{"5":{}}}],["179454.34347399411",{"_index":926,"t":{},"b":{"4":{}}}],["18",{"_index":435,"t":{},"b":{"1":{}}}],["18.0",{"_index":203,"t":{},"b":{"1":{},"18":{},"19":{}}}],["18.1",{"_index":1161,"t":{},"b":{"5":{}}}],["18.4555",{"_index":340,"t":{},"b":{"1":{},"19":{}}}],["18.7",{"_index":239,"t":{},"b":{"1":{}}}],["18.9",{"_index":1571,"t":{},"b":{"6":{}}}],["180000.0",{"_index":873,"t":{},"b":{"4":{}}}],["1868.0",{"_index":855,"t":{},"b":{"4":{}}}],["187",{"_index":332,"t":{},"b":{"1":{}}}],["188",{"_index":414,"t":{},"b":{"1":{},"5":{}}}],["1893.0",{"_index":3292,"t":{},"b":{"22":{}}}],["19",{"_index":131,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["19.0",{"_index":1157,"t":{},"b":{"5":{},"22":{}}}],["19.05",{"_index":341,"t":{},"b":{"1":{}}}],["19.287175510952146",{"_index":3085,"t":{},"b":{"21":{}}}],["19.381831638657914",{"_index":3087,"t":{},"b":{"21":{}}}],["19.4",{"_index":1573,"t":{},"b":{"6":{}}}],["19.4949",{"_index":1747,"t":{},"b":{"7":{}}}],["194",{"_index":1971,"t":{},"b":{"9":{}}}],["194.412",{"_index":2679,"t":{},"b":{"18":{}}}],["197",{"_index":1267,"t":{},"b":{"5":{}}}],["1982",{"_index":852,"t":{},"b":{"4":{}}}],["1:10",{"_index":3108,"t":{},"b":{"21":{}}}],["1:1000",{"_index":3004,"t":{},"b":{"20":{}}}],["1:2]5×2",{"_index":260,"t":{},"b":{"1":{}}}],["1:3]3×3",{"_index":396,"t":{},"b":{"1":{}}}],["1:5",{"_index":673,"t":{},"b":{"2":{}}}],["1:findlast(x.year",{"_index":2933,"t":{},"b":{"20":{}}}],["1:i",{"_index":3111,"t":{},"b":{"21":{}}}],["1:nrows(data_test",{"_index":1505,"t":{},"b":{"6":{}}}],["1:nrows(data_train",{"_index":1503,"t":{},"b":{"6":{}}}],["1=adult",{"_index":1530,"t":{},"b":{"6":{}}}],["1=ye",{"_index":1528,"t":{},"b":{"6":{}}}],["1_000",{"_index":2628,"t":{},"b":{"18":{}}}],["1e",{"_index":2550,"t":{},"b":{"17":{}}}],["1exampl",{"_index":547,"t":{},"b":{"2":{}}}],["1st",{"_index":2112,"t":{},"b":{"11":{}}}],["1…02",{"_index":2016,"t":{},"b":{"10":{}}}],["1…03",{"_index":2356,"t":{},"b":{"14":{}}}],["1…07",{"_index":3033,"t":{},"b":{"21":{}}}],["1…13",{"_index":2014,"t":{},"b":{"10":{}}}],["1…17",{"_index":1379,"t":{},"b":{"5":{},"14":{}}}],["1…25",{"_index":1236,"t":{},"b":{"5":{}}}],["1…28",{"_index":986,"t":{},"b":{"4":{},"14":{}}}],["1…34",{"_index":1961,"t":{},"b":{"8":{}}}],["1…35",{"_index":969,"t":{},"b":{"4":{}}}],["1…37",{"_index":2744,"t":{},"b":{"19":{}}}],["1…43",{"_index":983,"t":{},"b":{"4":{}}}],["1…48",{"_index":1419,"t":{},"b":{"5":{}}}],["1…54",{"_index":1652,"t":{},"b":{"6":{}}}],["1…58",{"_index":1610,"t":{},"b":{"6":{}}}],["1…64",{"_index":2300,"t":{},"b":{"13":{}}}],["1…71",{"_index":1786,"t":{},"b":{"7":{},"21":{}}}],["1…72",{"_index":1096,"t":{},"b":{"4":{}}}],["1…74",{"_index":2749,"t":{},"b":{"19":{}}}],["1…75",{"_index":2400,"t":{},"b":{"15":{}}}],["1…88",{"_index":2416,"t":{},"b":{"15":{}}}],["1…90",{"_index":2361,"t":{},"b":{"14":{}}}],["1…98",{"_index":2127,"t":{},"b":{"11":{}}}],["2",{"_index":22,"t":{"11":{},"14":{},"18":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2))2×2",{"_index":2612,"t":{},"b":{"18":{}}}],["2)2×13",{"_index":273,"t":{},"b":{"1":{}}}],["2)2×2",{"_index":280,"t":{},"b":{"1":{},"18":{}}}],["2)2×3",{"_index":268,"t":{},"b":{"1":{}}}],["2)more",{"_index":1137,"t":{},"b":{"5":{}}}],["2,2.0,2,two,2019",{"_index":592,"t":{},"b":{"2":{}}}],["2.0",{"_index":613,"t":{},"b":{"2":{},"15":{},"18":{}}}],["2.02927",{"_index":1753,"t":{},"b":{"7":{}}}],["2.10571",{"_index":327,"t":{},"b":{"1":{},"19":{}}}],["2.125",{"_index":668,"t":{},"b":{"2":{}}}],["2.16495",{"_index":342,"t":{},"b":{"1":{},"19":{}}}],["2.18",{"_index":233,"t":{},"b":{"1":{}}}],["2.189",{"_index":663,"t":{},"b":{"2":{}}}],["2.220446049250313e",{"_index":2414,"t":{},"b":{"15":{}}}],["2.29511",{"_index":1751,"t":{},"b":{"7":{}}}],["2.3",{"_index":493,"t":{},"b":{"1":{},"3":{}}}],["2.31",{"_index":204,"t":{},"b":{"1":{},"19":{}}}],["2.31829",{"_index":1760,"t":{},"b":{"7":{}}}],["2.33635",{"_index":1743,"t":{},"b":{"7":{}}}],["2.36652",{"_index":1745,"t":{},"b":{"7":{}}}],["2.5",{"_index":1051,"t":{},"b":{"4":{}}}],["2.61169",{"_index":1763,"t":{},"b":{"7":{}}}],["2.69",{"_index":2775,"t":{},"b":{"19":{}}}],["2.75886",{"_index":2690,"t":{},"b":{"18":{}}}],["2.9",{"_index":319,"t":{},"b":{"1":{}}}],["2.94",{"_index":241,"t":{},"b":{"1":{}}}],["20",{"_index":1549,"t":{},"b":{"6":{},"7":{},"10":{},"22":{}}}],["20.8",{"_index":1162,"t":{},"b":{"5":{}}}],["20.82",{"_index":3139,"t":{},"b":{"21":{}}}],["20.83",{"_index":3131,"t":{},"b":{"21":{}}}],["20.89",{"_index":3133,"t":{},"b":{"21":{}}}],["200",{"_index":1146,"t":{},"b":{"5":{}}}],["2003",{"_index":851,"t":{},"b":{"4":{}}}],["2003.02",{"_index":2841,"t":{},"b":{"20":{}}}],["2005",{"_index":860,"t":{},"b":{"4":{},"20":{}}}],["2006",{"_index":859,"t":{},"b":{"4":{}}}],["2019",{"_index":611,"t":{},"b":{"2":{}}}],["2020",{"_index":132,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["2028.0",{"_index":853,"t":{},"b":{"4":{}}}],["206",{"_index":1268,"t":{},"b":{"5":{}}}],["21.0",{"_index":3262,"t":{},"b":{"22":{}}}],["21.11",{"_index":3140,"t":{},"b":{"21":{}}}],["21.2",{"_index":357,"t":{},"b":{"1":{}}}],["21.200000",{"_index":2115,"t":{},"b":{"11":{}}}],["21.232",{"_index":2513,"t":{},"b":{"17":{}}}],["21.24",{"_index":3137,"t":{},"b":{"21":{}}}],["21.27",{"_index":3134,"t":{},"b":{"21":{}}}],["21.6",{"_index":225,"t":{},"b":{"1":{},"19":{}}}],["215",{"_index":1269,"t":{},"b":{"5":{}}}],["22.0",{"_index":339,"t":{},"b":{"1":{}}}],["22.4",{"_index":1166,"t":{},"b":{"5":{}}}],["22.5328",{"_index":356,"t":{},"b":{"1":{},"19":{}}}],["22.532806",{"_index":2110,"t":{},"b":{"11":{}}}],["22.7",{"_index":1575,"t":{},"b":{"6":{}}}],["22.75",{"_index":2675,"t":{},"b":{"18":{}}}],["222",{"_index":238,"t":{},"b":{"1":{}}}],["223.05",{"_index":3135,"t":{},"b":{"21":{}}}],["224",{"_index":1270,"t":{},"b":{"5":{}}}],["225",{"_index":3047,"t":{},"b":{"21":{}}}],["23",{"_index":1964,"t":{},"b":{"9":{}}}],["23.3225",{"_index":300,"t":{},"b":{"1":{},"19":{}}}],["23.4459",{"_index":2674,"t":{},"b":{"18":{}}}],["23.493990895007986",{"_index":3084,"t":{},"b":{"21":{}}}],["230.0",{"_index":3258,"t":{},"b":{"22":{}}}],["234",{"_index":1271,"t":{},"b":{"5":{}}}],["24",{"_index":328,"t":{},"b":{"1":{},"19":{}}}],["24.0",{"_index":214,"t":{},"b":{"1":{},"19":{}}}],["242",{"_index":222,"t":{},"b":{"1":{},"19":{}}}],["243",{"_index":1272,"t":{},"b":{"5":{}}}],["25",{"_index":1966,"t":{},"b":{"9":{}}}],["25.000000",{"_index":2117,"t":{},"b":{"11":{}}}],["25.63",{"_index":3132,"t":{},"b":{"21":{}}}],["250",{"_index":2153,"t":{},"b":{"11":{}}}],["2500",{"_index":3196,"t":{},"b":{"22":{}}}],["252",{"_index":1273,"t":{},"b":{"5":{}}}],["256",{"_index":1204,"t":{},"b":{"5":{}}}],["25th",{"_index":370,"t":{},"b":{"1":{}}}],["260.0",{"_index":3321,"t":{},"b":{"23":{}}}],["261",{"_index":1274,"t":{},"b":{"5":{}}}],["269.0",{"_index":3328,"t":{},"b":{"23":{}}}],["27.33",{"_index":3138,"t":{},"b":{"21":{}}}],["27.74",{"_index":302,"t":{},"b":{"1":{}}}],["27.825594022071243",{"_index":1651,"t":{},"b":{"6":{}}}],["270",{"_index":1275,"t":{},"b":{"5":{}}}],["276.0",{"_index":3315,"t":{},"b":{"23":{}}}],["28",{"_index":1493,"t":{},"b":{"6":{},"7":{}}}],["28.1489",{"_index":322,"t":{},"b":{"1":{},"19":{}}}],["280",{"_index":1276,"t":{},"b":{"5":{}}}],["2803.5",{"_index":2686,"t":{},"b":{"18":{}}}],["289",{"_index":1277,"t":{},"b":{"5":{}}}],["295",{"_index":417,"t":{},"b":{"1":{}}}],["296",{"_index":210,"t":{},"b":{"1":{},"19":{}}}],["2977.58",{"_index":2685,"t":{},"b":{"18":{}}}],["298",{"_index":1278,"t":{},"b":{"5":{}}}],["2=no",{"_index":1529,"t":{},"b":{"6":{}}}],["2=young",{"_index":1531,"t":{},"b":{"6":{}}}],["2]]x[1",{"_index":2638,"t":{},"b":{"18":{}}}],["2d",{"_index":1822,"t":{},"b":{"7":{},"11":{},"24":{}}}],["2in",{"_index":548,"t":{},"b":{"2":{}}}],["2x.x1",{"_index":2439,"t":{},"b":{"15":{}}}],["2x3",{"_index":2271,"t":{},"b":{"13":{},"14":{}}}],["2xraw[:,3",{"_index":2009,"t":{},"b":{"10":{}}}],["2…23",{"_index":961,"t":{},"b":{"4":{}}}],["2…24",{"_index":2247,"t":{},"b":{"12":{}}}],["2…50",{"_index":2205,"t":{},"b":{"12":{}}}],["2…80",{"_index":1079,"t":{},"b":{"4":{}}}],["2…81",{"_index":2418,"t":{},"b":{"15":{}}}],["3",{"_index":29,"t":{"19":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["3)3×14",{"_index":2736,"t":{},"b":{"19":{}}}],["3)3×4",{"_index":385,"t":{},"b":{"1":{}}}],["3)3×5",{"_index":451,"t":{},"b":{"1":{},"2":{}}}],["3)3×7",{"_index":657,"t":{},"b":{"2":{}}}],["3)3×9",{"_index":2644,"t":{},"b":{"18":{}}}],["3)thi",{"_index":1138,"t":{},"b":{"5":{}}}],["3,3.0,3.14,three,2019",{"_index":595,"t":{},"b":{"2":{}}}],["3.0",{"_index":463,"t":{},"b":{"1":{},"2":{},"8":{},"15":{},"18":{}}}],["3.115",{"_index":667,"t":{},"b":{"2":{}}}],["3.14",{"_index":616,"t":{},"b":{"2":{}}}],["3.2",{"_index":465,"t":{},"b":{"1":{},"8":{}}}],["3.20745",{"_index":326,"t":{},"b":{"1":{}}}],["3.26",{"_index":658,"t":{},"b":{"2":{}}}],["3.33956",{"_index":1748,"t":{},"b":{"7":{}}}],["3.428",{"_index":494,"t":{},"b":{"1":{}}}],["3.5",{"_index":458,"t":{},"b":{"1":{},"8":{}}}],["3.531",{"_index":671,"t":{},"b":{"2":{}}}],["3.561",{"_index":313,"t":{},"b":{"1":{}}}],["3.61352",{"_index":295,"t":{},"b":{"1":{},"19":{}}}],["3.68374",{"_index":2693,"t":{},"b":{"18":{}}}],["3.77",{"_index":662,"t":{},"b":{"2":{}}}],["3.79504",{"_index":325,"t":{},"b":{"1":{},"19":{}}}],["3.81",{"_index":2776,"t":{},"b":{"19":{}}}],["30",{"_index":1519,"t":{},"b":{"6":{},"7":{},"8":{}}}],["300",{"_index":1492,"t":{},"b":{"6":{},"11":{}}}],["301",{"_index":419,"t":{},"b":{"1":{}}}],["307",{"_index":1279,"t":{},"b":{"5":{}}}],["307.0",{"_index":2651,"t":{},"b":{"18":{}}}],["309",{"_index":1557,"t":{},"b":{"6":{}}}],["314.907",{"_index":1766,"t":{},"b":{"7":{}}}],["316",{"_index":1280,"t":{},"b":{"5":{}}}],["318.0",{"_index":2666,"t":{},"b":{"18":{}}}],["320",{"_index":2665,"t":{},"b":{"18":{}}}],["322",{"_index":3160,"t":{},"b":{"22":{}}}],["326",{"_index":1281,"t":{},"b":{"5":{}}}],["33",{"_index":2140,"t":{},"b":{"11":{}}}],["33.4",{"_index":242,"t":{},"b":{"1":{}}}],["330.0",{"_index":335,"t":{},"b":{"1":{}}}],["335",{"_index":1282,"t":{},"b":{"5":{}}}],["34",{"_index":1965,"t":{},"b":{"9":{}}}],["34.6",{"_index":2756,"t":{},"b":{"19":{}}}],["34.7",{"_index":231,"t":{},"b":{"1":{},"6":{},"19":{}}}],["3436.0",{"_index":2668,"t":{},"b":{"18":{}}}],["344",{"_index":1283,"t":{},"b":{"5":{}}}],["348",{"_index":2990,"t":{},"b":{"20":{}}}],["35.0",{"_index":3327,"t":{},"b":{"23":{}}}],["35.5",{"_index":1580,"t":{},"b":{"6":{}}}],["350.0",{"_index":2660,"t":{},"b":{"18":{}}}],["3504.0",{"_index":2653,"t":{},"b":{"18":{}}}],["353",{"_index":1284,"t":{},"b":{"5":{}}}],["356.674",{"_index":345,"t":{},"b":{"1":{},"19":{}}}],["36",{"_index":434,"t":{},"b":{"1":{}}}],["36.1",{"_index":1581,"t":{},"b":{"6":{}}}],["36.5",{"_index":2770,"t":{},"b":{"19":{}}}],["362",{"_index":1285,"t":{},"b":{"5":{}}}],["3693.0",{"_index":2662,"t":{},"b":{"18":{}}}],["369900.0",{"_index":872,"t":{},"b":{"4":{}}}],["37.97",{"_index":350,"t":{},"b":{"1":{}}}],["371",{"_index":1286,"t":{},"b":{"5":{}}}],["38.0",{"_index":3253,"t":{},"b":{"22":{}}}],["38.4912",{"_index":2684,"t":{},"b":{"18":{}}}],["381",{"_index":1287,"t":{},"b":{"5":{}}}],["39.1",{"_index":1583,"t":{},"b":{"6":{}}}],["390",{"_index":1288,"t":{},"b":{"5":{}}}],["391.44",{"_index":346,"t":{},"b":{"1":{}}}],["392",{"_index":2704,"t":{},"b":{"18":{}}}],["392.83",{"_index":229,"t":{},"b":{"1":{},"19":{}}}],["393.0",{"_index":867,"t":{},"b":{"4":{}}}],["394.63",{"_index":240,"t":{},"b":{"1":{}}}],["396.9",{"_index":212,"t":{},"b":{"1":{},"19":{}}}],["399",{"_index":1289,"t":{},"b":{"5":{}}}],["3rd",{"_index":2116,"t":{},"b":{"11":{}}}],["3…71",{"_index":3077,"t":{},"b":{"21":{}}}],["3…96",{"_index":3358,"t":{},"b":{"23":{}}}],["4",{"_index":30,"t":{"20":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["4)4×14",{"_index":198,"t":{},"b":{"1":{}}}],["4.0",{"_index":2624,"t":{},"b":{"18":{}}}],["4.019392784926215",{"_index":2178,"t":{},"b":{"11":{}}}],["4.03",{"_index":230,"t":{},"b":{"1":{},"19":{}}}],["4.09",{"_index":209,"t":{},"b":{"1":{},"19":{}}}],["4.1",{"_index":3255,"t":{},"b":{"22":{}}}],["4.26",{"_index":511,"t":{},"b":{"1":{}}}],["4.3",{"_index":490,"t":{},"b":{"1":{}}}],["4.35551",{"_index":2508,"t":{},"b":{"17":{}}}],["4.4",{"_index":495,"t":{},"b":{"1":{}}}],["4.7",{"_index":464,"t":{},"b":{"1":{},"8":{}}}],["4.9",{"_index":462,"t":{},"b":{"1":{},"8":{}}}],["4.9671",{"_index":221,"t":{},"b":{"1":{},"19":{}}}],["4.98",{"_index":213,"t":{},"b":{"1":{},"19":{}}}],["40",{"_index":2212,"t":{},"b":{"12":{}}}],["408",{"_index":1290,"t":{},"b":{"5":{}}}],["408.237",{"_index":334,"t":{},"b":{"1":{},"19":{}}}],["417",{"_index":1291,"t":{},"b":{"5":{}}}],["42.0",{"_index":3317,"t":{},"b":{"23":{}}}],["427",{"_index":1292,"t":{},"b":{"5":{}}}],["436",{"_index":1293,"t":{},"b":{"5":{}}}],["445",{"_index":1294,"t":{},"b":{"5":{}}}],["45",{"_index":1721,"t":{},"b":{"7":{},"9":{}}}],["45.8",{"_index":236,"t":{},"b":{"1":{}}}],["454",{"_index":1295,"t":{},"b":{"5":{}}}],["458",{"_index":2917,"t":{},"b":{"20":{}}}],["46",{"_index":427,"t":{},"b":{"1":{}}}],["463",{"_index":1296,"t":{},"b":{"5":{}}}],["47.0",{"_index":3263,"t":{},"b":{"22":{}}}],["472",{"_index":1297,"t":{},"b":{"5":{}}}],["48.0",{"_index":3320,"t":{},"b":{"23":{}}}],["482",{"_index":1298,"t":{},"b":{"5":{}}}],["491",{"_index":1299,"t":{},"b":{"5":{}}}],["4]2×2",{"_index":2607,"t":{},"b":{"18":{}}}],["4…06",{"_index":2405,"t":{},"b":{"15":{}}}],["4…17",{"_index":1095,"t":{},"b":{"4":{}}}],["4…32",{"_index":3120,"t":{},"b":{"21":{}}}],["4…47",{"_index":2339,"t":{},"b":{"13":{}}}],["4…51",{"_index":1077,"t":{},"b":{"4":{}}}],["4…54",{"_index":3121,"t":{},"b":{"21":{}}}],["4…66",{"_index":1078,"t":{},"b":{"4":{}}}],["4…70",{"_index":2445,"t":{},"b":{"15":{}}}],["5",{"_index":31,"t":{"21":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["5.0",{"_index":330,"t":{},"b":{"1":{},"13":{}}}],["5.000000",{"_index":2111,"t":{},"b":{"11":{}}}],["5.006",{"_index":491,"t":{},"b":{"1":{}}}],["5.05809",{"_index":1759,"t":{},"b":{"7":{}}}],["5.1",{"_index":457,"t":{},"b":{"1":{},"8":{}}}],["5.47194",{"_index":2677,"t":{},"b":{"18":{}}}],["5.552",{"_index":512,"t":{},"b":{"1":{}}}],["5.8",{"_index":492,"t":{},"b":{"1":{}}}],["50",{"_index":1252,"t":{},"b":{"5":{},"22":{}}}],["50.0",{"_index":355,"t":{},"b":{"1":{}}}],["50.000000",{"_index":2118,"t":{},"b":{"11":{}}}],["500",{"_index":1300,"t":{},"b":{"5":{},"11":{}}}],["506",{"_index":744,"t":{},"b":{"3":{},"11":{}}}],["507",{"_index":2918,"t":{},"b":{"20":{}}}],["52.7",{"_index":1586,"t":{},"b":{"6":{}}}],["5474",{"_index":2989,"t":{},"b":{"20":{}}}],["55",{"_index":2213,"t":{},"b":{"12":{}}}],["59",{"_index":1253,"t":{},"b":{"5":{}}}],["59.0",{"_index":3331,"t":{},"b":{"23":{}}}],["5]0.469",{"_index":254,"t":{},"b":{"1":{}}}],["5th",{"_index":3143,"t":{},"b":{"21":{}}}],["5…17",{"_index":887,"t":{},"b":{"4":{}}}],["5…23",{"_index":1222,"t":{},"b":{"5":{}}}],["6",{"_index":312,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["6.0622",{"_index":237,"t":{},"b":{"1":{}}}],["6.2085",{"_index":316,"t":{},"b":{"1":{}}}],["6.28463",{"_index":315,"t":{},"b":{"1":{},"19":{}}}],["6.421",{"_index":219,"t":{},"b":{"1":{},"19":{}}}],["6.575",{"_index":207,"t":{},"b":{"1":{},"19":{}}}],["6.7",{"_index":1155,"t":{},"b":{"5":{}}}],["6.86035",{"_index":305,"t":{},"b":{"1":{},"19":{}}}],["6.998",{"_index":235,"t":{},"b":{"1":{}}}],["61.1",{"_index":228,"t":{},"b":{"1":{},"19":{}}}],["63.9",{"_index":1587,"t":{},"b":{"6":{}}}],["65.0",{"_index":3323,"t":{},"b":{"23":{}}}],["65.2",{"_index":208,"t":{},"b":{"1":{},"19":{}}}],["65.54",{"_index":2511,"t":{},"b":{"17":{}}}],["6600.0",{"_index":849,"t":{},"b":{"4":{}}}],["67",{"_index":1228,"t":{},"b":{"5":{},"9":{}}}],["68",{"_index":1254,"t":{},"b":{"5":{},"6":{}}}],["68.5749",{"_index":320,"t":{},"b":{"1":{},"19":{}}}],["6b",{"_index":32,"t":{"22":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["6…17",{"_index":2734,"t":{},"b":{"19":{}}}],["6…23",{"_index":1800,"t":{},"b":{"7":{}}}],["6…62",{"_index":2961,"t":{},"b":{"20":{}}}],["7",{"_index":318,"t":{},"b":{"1":{},"4":{},"7":{},"11":{},"18":{},"19":{},"20":{}}}],["7.0",{"_index":1158,"t":{},"b":{"5":{}}}],["7.06220240533269",{"_index":2135,"t":{},"b":{"11":{}}}],["7.07",{"_index":217,"t":{},"b":{"1":{},"19":{}}}],["7.1",{"_index":1572,"t":{},"b":{"6":{}}}],["7.14106",{"_index":353,"t":{},"b":{"1":{},"19":{}}}],["7.185",{"_index":227,"t":{},"b":{"1":{},"19":{}}}],["7.4",{"_index":1163,"t":{},"b":{"5":{}}}],["7.7",{"_index":1160,"t":{},"b":{"5":{}}}],["7.788",{"_index":2507,"t":{},"b":{"17":{}}}],["7.8",{"_index":1165,"t":{},"b":{"5":{}}}],["7.80501",{"_index":2676,"t":{},"b":{"18":{}}}],["70.0",{"_index":2655,"t":{},"b":{"18":{},"22":{}}}],["70:30",{"_index":902,"t":{},"b":{"4":{}}}],["71.0",{"_index":3264,"t":{},"b":{"22":{}}}],["711",{"_index":333,"t":{},"b":{"1":{}}}],["73",{"_index":1227,"t":{},"b":{"5":{}}}],["73.0",{"_index":3314,"t":{},"b":{"23":{}}}],["735",{"_index":1728,"t":{},"b":{"7":{}}}],["74.0",{"_index":3256,"t":{},"b":{"22":{}}}],["746.893",{"_index":1765,"t":{},"b":{"7":{}}}],["75.9796",{"_index":2691,"t":{},"b":{"18":{}}}],["750",{"_index":2154,"t":{},"b":{"11":{}}}],["75702.41122812725",{"_index":909,"t":{},"b":{"4":{}}}],["75th",{"_index":371,"t":{},"b":{"1":{}}}],["76.0",{"_index":2692,"t":{},"b":{"18":{}}}],["77.5",{"_index":321,"t":{},"b":{"1":{}}}],["78",{"_index":1255,"t":{},"b":{"5":{}}}],["78.9",{"_index":220,"t":{},"b":{"1":{},"19":{}}}],["783.0",{"_index":864,"t":{},"b":{"4":{}}}],["7875.0",{"_index":865,"t":{},"b":{"4":{}}}],["7…06",{"_index":2199,"t":{},"b":{"12":{}}}],["7…40",{"_index":2327,"t":{},"b":{"13":{}}}],["7…74",{"_index":1953,"t":{},"b":{"8":{}}}],["7…83",{"_index":2306,"t":{},"b":{"13":{}}}],["8",{"_index":33,"t":{"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["8.0",{"_index":2650,"t":{},"b":{"18":{}}}],["8.1",{"_index":1154,"t":{},"b":{"5":{}}}],["8.60155",{"_index":297,"t":{},"b":{"1":{},"19":{}}}],["8.70726",{"_index":331,"t":{},"b":{"1":{},"19":{}}}],["8.78",{"_index":314,"t":{},"b":{"1":{}}}],["8.8",{"_index":1159,"t":{},"b":{"5":{}}}],["80.0",{"_index":3329,"t":{},"b":{"23":{}}}],["80/20",{"_index":2166,"t":{},"b":{"11":{}}}],["807.0",{"_index":863,"t":{},"b":{"4":{}}}],["81.1",{"_index":1582,"t":{},"b":{"6":{}}}],["816.0",{"_index":847,"t":{},"b":{"4":{}}}],["83.0",{"_index":3322,"t":{},"b":{"23":{}}}],["83.3377",{"_index":2510,"t":{},"b":{"17":{}}}],["84.0",{"_index":3259,"t":{},"b":{"22":{}}}],["849.403",{"_index":2687,"t":{},"b":{"18":{}}}],["86",{"_index":2975,"t":{},"b":{"20":{}}}],["87",{"_index":1256,"t":{},"b":{"5":{}}}],["88.9762",{"_index":294,"t":{},"b":{"1":{}}}],["880.0",{"_index":858,"t":{},"b":{"4":{}}}],["8…18",{"_index":896,"t":{},"b":{"4":{}}}],["8…48",{"_index":2364,"t":{},"b":{"14":{}}}],["8…56",{"_index":1119,"t":{},"b":{"4":{}}}],["8…86",{"_index":2341,"t":{},"b":{"13":{}}}],["9",{"_index":34,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["9.14",{"_index":224,"t":{},"b":{"1":{},"19":{}}}],["9.1971",{"_index":358,"t":{},"b":{"1":{},"19":{}}}],["9.2",{"_index":1164,"t":{},"b":{"5":{}}}],["9.36638",{"_index":2514,"t":{},"b":{"17":{}}}],["9.5",{"_index":3312,"t":{},"b":{"23":{}}}],["9.54941",{"_index":329,"t":{},"b":{"1":{},"19":{}}}],["9.69",{"_index":304,"t":{},"b":{"1":{}}}],["9.84",{"_index":1584,"t":{},"b":{"6":{}}}],["90",{"_index":1801,"t":{},"b":{"7":{}}}],["91.2949",{"_index":347,"t":{},"b":{"1":{},"19":{}}}],["93.5",{"_index":2683,"t":{},"b":{"18":{}}}],["96",{"_index":1257,"t":{},"b":{"5":{}}}],["98.83",{"_index":3136,"t":{},"b":{"21":{}}}],["99.7416",{"_index":1749,"t":{},"b":{"7":{}}}],["9…30",{"_index":2899,"t":{},"b":{"20":{}}}],["9…65",{"_index":2304,"t":{},"b":{"13":{}}}],["_.name",{"_index":740,"t":{},"b":{"3":{}}}],["_.nrow",{"_index":743,"t":{},"b":{"3":{}}}],["_.scityp",{"_index":742,"t":{},"b":{"3":{}}}],["_.type",{"_index":741,"t":{},"b":{"3":{}}}],["_20",{"_index":850,"t":{},"b":{"4":{}}}],["_60",{"_index":866,"t":{},"b":{"4":{}}}],["aa",{"_index":67,"t":{},"b":{"0":{},"3":{}}}],["aad",{"_index":416,"t":{},"b":{"1":{}}}],["aao",{"_index":415,"t":{},"b":{"1":{}}}],["abdomcentesis_appear",{"_index":1477,"t":{},"b":{"6":{}}}],["abdomcentesis_total_protein",{"_index":1478,"t":{},"b":{"6":{}}}],["abdomen",{"_index":1474,"t":{},"b":{"6":{}}}],["abdominal_distens",{"_index":1469,"t":{},"b":{"6":{}}}],["abov",{"_index":1616,"t":{},"b":{"6":{},"10":{},"13":{},"15":{},"18":{},"22":{}}}],["abstract",{"_index":2336,"t":{},"b":{"13":{}}}],["abstractarray{continuous,1",{"_index":874,"t":{},"b":{"4":{}}}],["abstractarray{count,1",{"_index":1717,"t":{},"b":{"7":{},"23":{}}}],["abstractarray{multiclass{2},1",{"_index":3203,"t":{},"b":{"22":{}}}],["acceler",{"_index":1115,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"18":{},"21":{}}}],["acceleration_resampl",{"_index":1117,"t":{},"b":{"4":{},"15":{},"21":{}}}],["access",{"_index":169,"t":{},"b":{"1":{},"2":{},"4":{},"9":{},"10":{},"13":{}}}],["accesss",{"_index":2697,"t":{},"b":{"18":{}}}],["account",{"_index":3013,"t":{},"b":{"20":{}}}],["accuraci",{"_index":2919,"t":{},"b":{"20":{},"22":{}}}],["accuracy(cm",{"_index":2922,"t":{},"b":{"20":{}}}],["accuracy(i",{"_index":2921,"t":{},"b":{"20":{}}}],["achiev",{"_index":1862,"t":{},"b":{"7":{}}}],["acid",{"_index":1693,"t":{},"b":{"7":{}}}],["actual",{"_index":1407,"t":{},"b":{"5":{},"6":{},"13":{}}}],["acycl",{"_index":2287,"t":{},"b":{"13":{}}}],["ad",{"_index":398,"t":{},"b":{"1":{},"8":{},"16":{}}}],["adabooststumpclassifi",{"_index":1910,"t":{},"b":{"8":{}}}],["adapt",{"_index":146,"t":{},"b":{"1":{},"16":{}}}],["add",{"_index":2374,"t":{},"b":{"14":{},"18":{},"19":{},"23":{}}}],["addit",{"_index":2796,"t":{},"b":{"19":{}}}],["addition",{"_index":2472,"t":{},"b":{"16":{}}}],["adjust",{"_index":3242,"t":{},"b":{"22":{},"23":{}}}],["advertis",{"_index":3306,"t":{},"b":{"23":{}}}],["ag",{"_index":185,"t":{},"b":{"1":{},"3":{},"6":{},"9":{},"19":{},"23":{}}}],["again",{"_index":1141,"t":{},"b":{"5":{},"11":{},"19":{},"23":{}}}],["age=>continu",{"_index":1983,"t":{},"b":{"9":{}}}],["aggreg",{"_index":524,"t":{},"b":{"1":{}}}],["ai2cod",{"_index":421,"t":{},"b":{"1":{}}}],["aim",{"_index":2490,"t":{},"b":{"16":{}}}],["aka",{"_index":2894,"t":{},"b":{"20":{}}}],["alcalin",{"_index":1695,"t":{},"b":{"7":{}}}],["alcool",{"_index":1691,"t":{},"b":{"7":{}}}],["algorithm",{"_index":953,"t":{},"b":{"4":{},"8":{},"10":{},"12":{}}}],["all_nam",{"_index":3270,"t":{},"b":{"22":{}}}],["all_names[idxshow",{"_index":3280,"t":{},"b":{"22":{}}}],["allow",{"_index":468,"t":{},"b":{"1":{},"2":{},"3":{},"14":{},"18":{},"20":{}}}],["allowrankdefici",{"_index":1960,"t":{},"b":{"8":{}}}],["alon",{"_index":2393,"t":{},"b":{"14":{}}}],["along",{"_index":1884,"t":{},"b":{"8":{}}}],["alpha",{"_index":1191,"t":{},"b":{"5":{}}}],["alreadi",{"_index":1818,"t":{},"b":{"7":{},"20":{}}}],["altern",{"_index":2380,"t":{},"b":{"14":{}}}],["alway",{"_index":1381,"t":{},"b":{"5":{},"10":{},"16":{},"19":{}}}],["am",{"_index":38,"t":{"4":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ambigu",{"_index":703,"t":{},"b":{"3":{}}}],["amplitud",{"_index":1738,"t":{},"b":{"7":{}}}],["analys",{"_index":473,"t":{},"b":{"1":{},"3":{},"16":{}}}],["analysi",{"_index":390,"t":{},"b":{"1":{},"6":{},"7":{},"16":{},"18":{}}}],["annot",{"_index":47,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["anoth",{"_index":109,"t":{},"b":{"0":{},"6":{},"8":{},"13":{},"18":{}}}],["anthoni",{"_index":123,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["anyon",{"_index":2430,"t":{},"b":{"15":{}}}],["apart",{"_index":2995,"t":{},"b":{"20":{}}}],["appli",{"_index":144,"t":{},"b":{"1":{},"4":{},"6":{},"9":{},"12":{},"13":{},"19":{}}}],["appreci",{"_index":2466,"t":{},"b":{"16":{}}}],["approach",{"_index":2352,"t":{},"b":{"14":{}}}],["appropri",{"_index":752,"t":{},"b":{"3":{},"8":{},"12":{},"19":{},"22":{}}}],["arbitrari",{"_index":580,"t":{},"b":{"2":{}}}],["arbitrarili",{"_index":1362,"t":{},"b":{"5":{}}}],["area",{"_index":3014,"t":{},"b":{"20":{}}}],["argmin(res.measur",{"_index":3141,"t":{},"b":{"21":{}}}],["argmin(res.measurements)round.(res.measur",{"_index":3130,"t":{},"b":{"21":{}}}],["argument",{"_index":626,"t":{},"b":{"2":{},"8":{}}}],["around",{"_index":172,"t":{},"b":{"1":{},"4":{},"5":{},"11":{},"13":{},"22":{}}}],["array",{"_index":10,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["array{float64,1",{"_index":249,"t":{},"b":{"1":{},"4":{},"17":{},"18":{},"22":{},"24":{}}}],["array{float64,2",{"_index":397,"t":{},"b":{"1":{},"20":{}}}],["array{int64,1",{"_index":100,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"12":{},"18":{}}}],["array{int64,2",{"_index":2608,"t":{},"b":{"18":{}}}],["array{mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1074,"t":{},"b":{"4":{}}}],["array{string,1",{"_index":83,"t":{},"b":{"0":{},"1":{},"20":{}}}],["array{symbol,1",{"_index":178,"t":{},"b":{"1":{},"17":{},"18":{}}}],["array{univariatefinite{string,uint8,float64},1",{"_index":2902,"t":{},"b":{"20":{}}}],["arrow",{"_index":808,"t":{},"b":{"4":{},"7":{},"13":{}}}],["ash",{"_index":1694,"t":{},"b":{"7":{}}}],["asid",{"_index":1787,"t":{},"b":{"7":{},"20":{}}}],["assault",{"_index":2502,"t":{},"b":{"17":{}}}],["assess",{"_index":929,"t":{},"b":{"4":{}}}],["assign",{"_index":2581,"t":{},"b":{"17":{}}}],["assist",{"_index":3175,"t":{},"b":{"22":{}}}],["associ",{"_index":2473,"t":{},"b":{"16":{}}}],["assum",{"_index":1510,"t":{},"b":{"6":{},"13":{},"16":{}}}],["assumpt",{"_index":2952,"t":{},"b":{"20":{}}}],["atbat",{"_index":3161,"t":{},"b":{"22":{}}}],["atom",{"_index":2026,"t":{},"b":{"10":{},"15":{}}}],["atom.k",{"_index":2063,"t":{},"b":{"10":{}}}],["atom.n_subfeatur",{"_index":2162,"t":{},"b":{"11":{},"15":{}}}],["atomic_weight",{"_index":2057,"t":{},"b":{"10":{},"11":{},"15":{}}}],["attent",{"_index":746,"t":{},"b":{"3":{}}}],["attribut",{"_index":1711,"t":{},"b":{"7":{},"14":{}}}],["auc",{"_index":3012,"t":{},"b":{"20":{}}}],["auc(i",{"_index":3016,"t":{},"b":{"20":{}}}],["aucstock",{"_index":2820,"t":{},"b":{"20":{}}}],["auto",{"_index":1193,"t":{},"b":{"5":{},"8":{},"18":{},"21":{}}}],["auto.mpg",{"_index":2698,"t":{},"b":{"18":{}}}],["automat",{"_index":782,"t":{},"b":{"3":{},"5":{}}}],["autotyp",{"_index":779,"t":{},"b":{"3":{},"6":{},"16":{}}}],["autotype(boston",{"_index":793,"t":{},"b":{"3":{},"19":{}}}],["autotype(data",{"_index":1513,"t":{},"b":{"6":{}}}],["autotype(datac",{"_index":1542,"t":{},"b":{"6":{}}}],["autotype(x",{"_index":3201,"t":{},"b":{"22":{},"23":{}}}],["avail",{"_index":1898,"t":{},"b":{"8":{},"18":{},"20":{}}}],["averag",{"_index":944,"t":{},"b":{"4":{},"12":{},"20":{}}}],["away",{"_index":2337,"t":{},"b":{"13":{}}}],["b",{"_index":1148,"t":{},"b":{"5":{}}}],["b1",{"_index":265,"t":{},"b":{"1":{}}}],["b2",{"_index":270,"t":{},"b":{"1":{}}}],["b_rang",{"_index":2060,"t":{},"b":{"10":{}}}],["babi",{"_index":801,"t":{},"b":{"4":{}}}],["back",{"_index":2296,"t":{},"b":{"13":{},"19":{}}}],["backend",{"_index":2709,"t":{},"b":{"18":{}}}],["background",{"_index":2342,"t":{},"b":{"13":{}}}],["backslash",{"_index":2730,"t":{},"b":{"19":{}}}],["bad",{"_index":1638,"t":{},"b":{"6":{},"20":{},"22":{},"23":{},"24":{}}}],["badli",{"_index":1172,"t":{},"b":{"5":{}}}],["bag",{"_index":2025,"t":{},"b":{"10":{},"11":{}}}],["bagging_fract",{"_index":2053,"t":{},"b":{"10":{},"11":{},"15":{}}}],["baggingclassifi",{"_index":1912,"t":{},"b":{"8":{}}}],["balanc",{"_index":1223,"t":{},"b":{"5":{},"7":{},"20":{}}}],["bar(1:length(c",{"_index":2569,"t":{},"b":{"17":{}}}],["bar([1",{"_index":2890,"t":{},"b":{"20":{}}}],["bare",{"_index":2951,"t":{},"b":{"20":{}}}],["barebon",{"_index":717,"t":{},"b":{"3":{}}}],["base",{"_index":1665,"t":{"23":{}},"b":{"6":{},"16":{},"23":{}}}],["base_scor",{"_index":1217,"t":{},"b":{"5":{}}}],["baselin",{"_index":1443,"t":{},"b":{"6":{},"7":{},"21":{},"22":{}}}],["baselinevisualis",{"_index":1675,"t":{},"b":{"7":{}}}],["basic",{"_index":6,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["basicsaccess",{"_index":138,"t":{},"b":{"1":{}}}],["bayesian",{"_index":2956,"t":{},"b":{"20":{}}}],["bayesianlda",{"_index":1913,"t":{},"b":{"8":{},"20":{}}}],["bayesianqda",{"_index":1915,"t":{},"b":{"8":{},"20":{}}}],["bayesiansubspacelda",{"_index":1916,"t":{},"b":{"8":{}}}],["bb",{"_index":65,"t":{},"b":{"0":{},"3":{}}}],["bd",{"_index":1153,"t":{},"b":{"5":{}}}],["becom",{"_index":1045,"t":{},"b":{"4":{},"7":{}}}],["befor",{"_index":635,"t":{},"b":{"2":{},"4":{},"10":{},"13":{},"15":{},"16":{},"18":{},"20":{},"23":{}}}],["behaviour",{"_index":3342,"t":{},"b":{"23":{}}}],["belong",{"_index":567,"t":{},"b":{"2":{}}}],["below",{"_index":711,"t":{},"b":{"3":{},"7":{},"8":{}}}],["best",{"_index":1123,"t":{},"b":{"4":{},"5":{},"10":{},"11":{},"15":{},"17":{},"22":{},"23":{}}}],["best_ensembl",{"_index":2078,"t":{},"b":{"10":{}}}],["best_ensemble.atom.k",{"_index":2080,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fract",{"_index":2082,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fractionbest_ensemble.atom.k",{"_index":2081,"t":{},"b":{"10":{}}}],["best_mdl",{"_index":3238,"t":{},"b":{"22":{}}}],["best_model",{"_index":2419,"t":{},"b":{"15":{}}}],["best_pip",{"_index":1647,"t":{},"b":{"6":{}}}],["better",{"_index":1588,"t":{},"b":{"6":{},"7":{},"16":{},"19":{},"20":{},"22":{}}}],["between",{"_index":692,"t":{},"b":{"3":{},"12":{},"13":{},"14":{},"18":{},"19":{},"24":{}}}],["bex3cod",{"_index":425,"t":{},"b":{"1":{}}}],["beyond",{"_index":2729,"t":{},"b":{"19":{}}}],["bi2cod",{"_index":423,"t":{},"b":{"1":{}}}],["big",{"_index":251,"t":{},"b":{"1":{},"5":{}}}],["bind",{"_index":2398,"t":{},"b":{"15":{}}}],["bins=30",{"_index":3215,"t":{},"b":{"22":{}}}],["bins=50",{"_index":3190,"t":{},"b":{"22":{}}}],["bit",{"_index":525,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["black",{"_index":190,"t":{},"b":{"1":{},"3":{},"19":{}}}],["blaom",{"_index":124,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["blend",{"_index":936,"t":{},"b":{"4":{}}}],["blendus",{"_index":805,"t":{},"b":{"4":{}}}],["blue",{"_index":2590,"t":{},"b":{"17":{}}}],["bool",{"_index":610,"t":{},"b":{"2":{}}}],["boost",{"_index":1367,"t":{},"b":{"5":{},"16":{},"23":{}}}],["booster",{"_index":1180,"t":{},"b":{"5":{}}}],["bootstrap",{"_index":3025,"t":{"21":{}},"b":{"21":{}}}],["bootstrapget",{"_index":3029,"t":{},"b":{"21":{}}}],["boston",{"_index":161,"t":{},"b":{"1":{},"2":{},"3":{},"11":{},"19":{},"23":{}}}],["boston.crim",{"_index":401,"t":{},"b":{"1":{}}}],["boston.crim[1:5]5",{"_index":248,"t":{},"b":{"1":{}}}],["boston.crim_x_zn",{"_index":400,"t":{},"b":{"1":{}}}],["boston.zn",{"_index":402,"t":{},"b":{"1":{}}}],["boston2",{"_index":756,"t":{},"b":{"3":{}}}],["boston3",{"_index":763,"t":{},"b":{"3":{}}}],["boston[1:5",{"_index":257,"t":{},"b":{"1":{}}}],["boston[3",{"_index":253,"t":{},"b":{"1":{}}}],["both",{"_index":943,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"12":{}}}],["box",{"_index":2294,"t":{},"b":{"13":{},"14":{}}}],["box=box_model",{"_index":2369,"t":{},"b":{"14":{}}}],["box_model",{"_index":2320,"t":{},"b":{"13":{},"14":{}}}],["box_model::univariateboxcoxtransform",{"_index":2385,"t":{},"b":{"14":{}}}],["branch",{"_index":1980,"t":{},"b":{"9":{}}}],["brief",{"_index":2601,"t":{},"b":{"18":{}}}],["bsmtfinsf1",{"_index":836,"t":{},"b":{"4":{}}}],["buick",{"_index":2663,"t":{},"b":{"18":{}}}],["build",{"_index":2099,"t":{},"b":{"11":{},"15":{},"16":{},"20":{},"21":{}}}],["built",{"_index":134,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["bve",{"_index":922,"t":{},"b":{"4":{}}}],["by(iri",{"_index":508,"t":{},"b":{"1":{}}}],["c",{"_index":2586,"t":{},"b":{"17":{}}}],["call",{"_index":927,"t":{},"b":{"4":{},"10":{},"13":{},"18":{}}}],["capillary_refill_tim",{"_index":1466,"t":{},"b":{"6":{}}}],["caravan",{"_index":2972,"t":{},"b":{"20":{}}}],["caravan.purchas",{"_index":2977,"t":{},"b":{"20":{}}}],["care",{"_index":2421,"t":{},"b":{"15":{},"18":{}}}],["carseat",{"_index":3301,"t":{},"b":{"23":{}}}],["carseats.high",{"_index":3335,"t":{},"b":{"23":{}}}],["case",{"_index":701,"t":{},"b":{"3":{},"8":{},"12":{},"13":{},"19":{},"20":{},"21":{}}}],["catbat",{"_index":3166,"t":{},"b":{"22":{}}}],["categor",{"_index":1,"t":{"0":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["categori",{"_index":78,"t":{},"b":{"0":{}}}],["categorical([\"aa",{"_index":64,"t":{},"b":{"0":{}}}],["categorical([\"high",{"_index":110,"t":{},"b":{"0":{}}}],["categorical(['m",{"_index":1967,"t":{},"b":{"9":{}}}],["categorical([1",{"_index":98,"t":{},"b":{"0":{}}}],["categorical(i",{"_index":3409,"t":{},"b":{"24":{}}}],["categoricalarray",{"_index":62,"t":{},"b":{"0":{},"5":{},"16":{}}}],["categoricalarrays.categoricalarray{string,1,uint32",{"_index":70,"t":{},"b":{"0":{}}}],["categoricalarrays.categoricalarray{string,1,uint8",{"_index":2884,"t":{},"b":{"20":{}}}],["categoricalarrays.categoricalstring{uint32",{"_index":843,"t":{},"b":{"4":{}}}],["categoricalarrays.categoricalstring{uint32}[\"b",{"_index":1147,"t":{},"b":{"5":{}}}],["categoricalarrays.categoricalstring{uint8",{"_index":1881,"t":{},"b":{"8":{},"23":{}}}],["categoricalarrays.categoricalvalue{float64,uint32",{"_index":795,"t":{},"b":{"3":{},"8":{}}}],["categoricalarrays.categoricalvalue{int64,uint32",{"_index":797,"t":{},"b":{"3":{},"4":{}}}],["categoricalsmiss",{"_index":55,"t":{},"b":{"0":{}}}],["categoricalsord",{"_index":54,"t":{},"b":{"0":{}}}],["categoricalstring{uint8",{"_index":2857,"t":{},"b":{"20":{}}}],["cbt",{"_index":1423,"t":{},"b":{"5":{}}}],["cc",{"_index":66,"t":{},"b":{"0":{}}}],["cc\"])6",{"_index":68,"t":{},"b":{"0":{}}}],["cha",{"_index":182,"t":{},"b":{"1":{},"3":{},"19":{}}}],["chang",{"_index":92,"t":{},"b":{"0":{},"3":{},"5":{},"7":{},"13":{},"19":{},"24":{}}}],["char",{"_index":641,"t":{},"b":{"2":{}}}],["check",{"_index":786,"t":{},"b":{"3":{},"5":{},"6":{},"7":{},"11":{},"12":{},"15":{},"20":{},"21":{},"24":{}}}],["check_measur",{"_index":1118,"t":{},"b":{"4":{},"15":{},"21":{}}}],["chemic",{"_index":1677,"t":{},"b":{"7":{}}}],["chevel",{"_index":2657,"t":{},"b":{"18":{}}}],["chevrolet",{"_index":2656,"t":{},"b":{"18":{}}}],["child",{"_index":1366,"t":{},"b":{"5":{}}}],["chit",{"_index":3167,"t":{},"b":{"22":{}}}],["chmrun",{"_index":3168,"t":{},"b":{"22":{}}}],["choos",{"_index":15,"t":{"8":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["cic0",{"_index":647,"t":{},"b":{"2":{}}}],["cl",{"_index":1151,"t":{},"b":{"5":{}}}],["class",{"_index":696,"t":{},"b":{"3":{},"5":{},"7":{},"12":{},"20":{}}}],["classes(y[1])2",{"_index":2883,"t":{},"b":{"20":{}}}],["classesiniti",{"_index":1676,"t":{},"b":{"7":{}}}],["classic",{"_index":158,"t":{},"b":{"1":{},"2":{},"23":{}}}],["classif",{"_index":1167,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"16":{}}}],["classifi",{"_index":1602,"t":{},"b":{"6":{},"7":{},"8":{},"12":{},"15":{},"20":{},"23":{},"24":{}}}],["classifiertun",{"_index":3295,"t":{},"b":{"23":{}}}],["clear",{"_index":1860,"t":{},"b":{"7":{}}}],["clearli",{"_index":571,"t":{},"b":{"2":{},"7":{}}}],["clf",{"_index":1618,"t":{},"b":{"6":{},"7":{},"20":{}}}],["clf.lambda",{"_index":1644,"t":{},"b":{"6":{}}}],["clf=knnclassifi",{"_index":1782,"t":{},"b":{"7":{}}}],["clf=multinomialclassifi",{"_index":1784,"t":{},"b":{"7":{}}}],["click",{"_index":49,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["cloud",{"_index":3395,"t":{},"b":{"24":{}}}],["cluster",{"_index":2485,"t":{"17":{}},"b":{"16":{},"17":{}}}],["cm",{"_index":2375,"t":{},"b":{"14":{},"20":{}}}],["cm[\"down",{"_index":2891,"t":{},"b":{"20":{}}}],["cm[\"no",{"_index":2992,"t":{},"b":{"20":{}}}],["cm[\"up",{"_index":2892,"t":{},"b":{"20":{}}}],["cm[\"ye",{"_index":2993,"t":{},"b":{"20":{}}}],["cmach",{"_index":893,"t":{},"b":{"4":{}}}],["coars",{"_index":1082,"t":{},"b":{"4":{}}}],["code",{"_index":783,"t":{},"b":{"3":{},"21":{}}}],["coef",{"_index":3249,"t":{},"b":{"22":{}}}],["coeffici",{"_index":2771,"t":{},"b":{"19":{}}}],["coerc",{"_index":755,"t":{},"b":{"3":{},"6":{},"8":{},"9":{},"17":{}}}],["coerce(boston",{"_index":757,"t":{},"b":{"3":{},"19":{}}}],["coerce(data",{"_index":777,"t":{},"b":{"3":{},"6":{}}}],["coerce(datac",{"_index":1541,"t":{},"b":{"6":{}}}],["coerce(featur",{"_index":766,"t":{},"b":{"3":{}}}],["coerce(i",{"_index":1715,"t":{},"b":{"7":{},"20":{}}}],["coerce(iri",{"_index":1886,"t":{},"b":{"8":{}}}],["coerce(x",{"_index":1732,"t":{},"b":{"7":{},"9":{},"17":{},"22":{},"23":{}}}],["coercion",{"_index":770,"t":{},"b":{"3":{},"9":{}}}],["coercionautotypemachin",{"_index":688,"t":{},"b":{"3":{}}}],["col",{"_index":478,"t":{},"b":{"1":{},"6":{},"20":{},"21":{},"22":{},"23":{}}}],["col1",{"_index":599,"t":{},"b":{"2":{}}}],["col1,col2,col3,col4,col5,col6,col7,col8",{"_index":587,"t":{},"b":{"2":{}}}],["col2",{"_index":600,"t":{},"b":{"2":{}}}],["col3",{"_index":601,"t":{},"b":{"2":{}}}],["col4",{"_index":602,"t":{},"b":{"2":{}}}],["col5",{"_index":603,"t":{},"b":{"2":{}}}],["col6",{"_index":604,"t":{},"b":{"2":{}}}],["col7",{"_index":605,"t":{},"b":{"2":{}}}],["col8",{"_index":606,"t":{},"b":{"2":{}}}],["colic",{"_index":1438,"t":{"6":{}},"b":{"6":{}}}],["colic.data",{"_index":1455,"t":{},"b":{"6":{}}}],["colic.test",{"_index":1457,"t":{},"b":{"6":{}}}],["colic/hors",{"_index":1454,"t":{},"b":{"6":{}}}],["collabor",{"_index":127,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["collat",{"_index":2059,"t":{},"b":{"10":{}}}],["collect",{"_index":1562,"t":{},"b":{"6":{},"15":{},"18":{},"21":{}}}],["collect(1:length(coefs))[abs.(coef",{"_index":3278,"t":{},"b":{"22":{}}}],["collect(range(extrema(x.lstat",{"_index":2759,"t":{},"b":{"19":{}}}],["collect(skipmissing(i",{"_index":3182,"t":{},"b":{"22":{}}}],["colnam",{"_index":246,"t":{},"b":{"1":{},"7":{},"8":{}}}],["color",{"_index":1702,"t":{},"b":{"7":{}}}],["color=\"blu",{"_index":1851,"t":{},"b":{"7":{}}}],["color=\"green",{"_index":3216,"t":{},"b":{"22":{}}}],["color=\"magenta",{"_index":1854,"t":{},"b":{"7":{},"22":{}}}],["color=\"orang",{"_index":3223,"t":{},"b":{"22":{}}}],["color=\"r",{"_index":1848,"t":{},"b":{"7":{},"17":{}}}],["color=c",{"_index":2595,"t":{},"b":{"17":{}}}],["colour",{"_index":1835,"t":{},"b":{"7":{}}}],["colsample_bylevel",{"_index":1190,"t":{},"b":{"5":{}}}],["colsample_bytre",{"_index":1189,"t":{},"b":{"5":{}}}],["column",{"_index":174,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"17":{},"18":{},"19":{},"21":{},"23":{}}}],["column1",{"_index":674,"t":{},"b":{"2":{}}}],["column2",{"_index":675,"t":{},"b":{"2":{}}}],["column3",{"_index":676,"t":{},"b":{"2":{}}}],["column4",{"_index":677,"t":{},"b":{"2":{}}}],["column5",{"_index":678,"t":{},"b":{"2":{}}}],["columns/statist",{"_index":514,"t":{},"b":{"1":{}}}],["columnsd",{"_index":1441,"t":{},"b":{"6":{}}}],["columnsmiss",{"_index":142,"t":{},"b":{"1":{}}}],["combin",{"_index":445,"t":{},"b":{"1":{},"4":{}}}],["combinegroupbybyaggregatethi",{"_index":145,"t":{},"b":{"1":{}}}],["come",{"_index":2885,"t":{},"b":{"20":{}}}],["command",{"_index":1940,"t":{},"b":{"8":{},"18":{}}}],["commandsload",{"_index":2598,"t":{},"b":{"18":{}}}],["comment",{"_index":1230,"t":{},"b":{"5":{},"7":{}}}],["common",{"_index":818,"t":{},"b":{"4":{},"5":{},"8":{}}}],["compar",{"_index":931,"t":{},"b":{"4":{},"7":{},"20":{},"21":{},"22":{}}}],["compat",{"_index":621,"t":{},"b":{"2":{},"12":{},"13":{},"20":{}}}],["complet",{"_index":153,"t":{},"b":{"1":{},"7":{},"17":{}}}],["compon",{"_index":2515,"t":{},"b":{"17":{}}}],["compos",{"_index":23,"t":{"9":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["composit",{"_index":2159,"t":{},"b":{"11":{},"14":{},"19":{}}}],["compositemodel",{"_index":2371,"t":{},"b":{"14":{}}}],["compositemodel(std=std_model",{"_index":2368,"t":{},"b":{"14":{}}}],["compositemodel2",{"_index":2383,"t":{},"b":{"14":{}}}],["compositemodel2(standard",{"_index":2391,"t":{},"b":{"14":{}}}],["comppric",{"_index":3304,"t":{},"b":{"23":{}}}],["comput",{"_index":362,"t":{},"b":{"1":{},"4":{},"18":{},"19":{},"20":{}}}],["computationalresources.cpu1{nothing}(noth",{"_index":1116,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["conclud",{"_index":1592,"t":{},"b":{"6":{}}}],["conclus",{"_index":3142,"t":{},"b":{"21":{}}}],["condit",{"_index":2932,"t":{},"b":{"20":{}}}],["confus",{"_index":2882,"t":{},"b":{"20":{}}}],["confusion_matrix(i",{"_index":2914,"t":{},"b":{"20":{}}}],["connect",{"_index":2372,"t":{},"b":{"14":{}}}],["consequ",{"_index":751,"t":{},"b":{"3":{},"15":{}}}],["consid",{"_index":108,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"6":{},"7":{},"12":{},"13":{},"14":{},"18":{},"19":{},"20":{},"22":{}}}],["const",{"_index":3154,"t":{},"b":{"22":{}}}],["constant",{"_index":882,"t":{},"b":{"4":{}}}],["constantclassifi",{"_index":1917,"t":{},"b":{"8":{}}}],["constantregressor()constantregressor",{"_index":884,"t":{},"b":{"4":{}}}],["constitu",{"_index":1684,"t":{},"b":{"7":{}}}],["construct",{"_index":1991,"t":{},"b":{"9":{},"10":{}}}],["constructor",{"_index":2028,"t":{},"b":{"10":{},"11":{},"14":{}}}],["contain",{"_index":815,"t":{},"b":{"4":{},"9":{},"12":{},"15":{},"20":{}}}],["content",{"_index":392,"t":{},"b":{"1":{},"2":{},"16":{}}}],["context",{"_index":160,"t":{},"b":{"1":{}}}],["continu",{"_index":707,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"22":{},"23":{}}}],["conveni",{"_index":262,"t":{},"b":{"1":{},"2":{},"6":{},"18":{}}}],["convent",{"_index":726,"t":{},"b":{"3":{},"19":{}}}],["convert",{"_index":391,"t":{},"b":{"1":{},"3":{},"13":{}}}],["convert(matrix",{"_index":394,"t":{},"b":{"1":{}}}],["cool",{"_index":2803,"t":{},"b":{"19":{}}}],["copi",{"_index":475,"t":{},"b":{"1":{}}}],["cor",{"_index":2863,"t":{},"b":{"20":{}}}],["correl",{"_index":2862,"t":{},"b":{"20":{}}}],["correspond",{"_index":470,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"16":{},"17":{},"19":{},"21":{}}}],["cost",{"_index":3422,"t":{},"b":{"24":{}}}],["count",{"_index":697,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"9":{},"11":{},"19":{},"23":{}}}],["counter",{"_index":442,"t":{},"b":{"1":{}}}],["countmap",{"_index":2821,"t":{},"b":{"20":{}}}],["countmap(i",{"_index":2889,"t":{},"b":{"20":{}}}],["countmap(purchas",{"_index":2991,"t":{},"b":{"20":{}}}],["countmap(y[train",{"_index":1225,"t":{},"b":{"5":{}}}],["cours",{"_index":2168,"t":{},"b":{"11":{},"15":{},"18":{}}}],["cox",{"_index":2295,"t":{},"b":{"13":{}}}],["cp_data",{"_index":1483,"t":{},"b":{"6":{}}}],["cpu_predictor",{"_index":1206,"t":{},"b":{"5":{}}}],["crab",{"_index":40,"t":{"5":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["crazi",{"_index":1640,"t":{},"b":{"6":{}}}],["crbi",{"_index":3170,"t":{},"b":{"22":{}}}],["creat",{"_index":889,"t":{},"b":{"4":{},"11":{},"13":{},"16":{},"19":{},"21":{}}}],["creg",{"_index":883,"t":{},"b":{"4":{}}}],["crim",{"_index":179,"t":{},"b":{"1":{},"3":{},"19":{}}}],["cross",{"_index":1084,"t":{"21":{}},"b":{"4":{},"6":{},"12":{},"15":{},"16":{},"20":{},"21":{},"22":{}}}],["cross_entropi",{"_index":2412,"t":{},"b":{"15":{}}}],["cross_entropy(i",{"_index":1657,"t":{},"b":{"6":{},"12":{},"20":{}}}],["crossvalid",{"_index":3101,"t":{},"b":{"21":{}}}],["crun",{"_index":3169,"t":{},"b":{"22":{}}}],["cs",{"_index":2561,"t":{},"b":{"17":{}}}],["csv",{"_index":577,"t":{},"b":{"2":{},"6":{},"7":{},"16":{},"18":{}}}],["csv.file",{"_index":644,"t":{},"b":{"2":{}}}],["csv.jl",{"_index":557,"t":{},"b":{"2":{},"7":{}}}],["csv.read",{"_index":583,"t":{},"b":{"2":{}}}],["csv.read(\"path/to/file.csv",{"_index":624,"t":{},"b":{"2":{}}}],["csv.read(fpath",{"_index":654,"t":{},"b":{"2":{}}}],["csv.read(fpath)3×8",{"_index":598,"t":{},"b":{"2":{}}}],["csv.read(req.bodi",{"_index":1689,"t":{},"b":{"7":{}}}],["csv.read(req1.bodi",{"_index":1487,"t":{},"b":{"6":{}}}],["csv.read(req2.bodi",{"_index":1489,"t":{},"b":{"6":{}}}],["csv_opt",{"_index":1484,"t":{},"b":{"6":{}}}],["csvbasic",{"_index":545,"t":{},"b":{"2":{}}}],["cultivar",{"_index":1681,"t":{},"b":{"7":{}}}],["cumsum(r.principalvar",{"_index":2526,"t":{},"b":{"17":{}}}],["current",{"_index":772,"t":{},"b":{"3":{},"6":{},"8":{},"21":{},"22":{}}}],["curv",{"_index":1240,"t":{},"b":{"5":{},"11":{},"20":{}}}],["curve.measur",{"_index":1354,"t":{},"b":{"5":{}}}],["curves.measur",{"_index":2152,"t":{},"b":{"11":{}}}],["custom",{"_index":376,"t":{},"b":{"1":{}}}],["cut",{"_index":1774,"t":{},"b":{"7":{}}}],["cv",{"_index":1103,"t":{},"b":{"4":{},"21":{},"22":{}}}],["cv(nfolds=6",{"_index":1087,"t":{},"b":{"4":{}}}],["cw",{"_index":1152,"t":{},"b":{"5":{}}}],["cwalk",{"_index":3171,"t":{},"b":{"22":{}}}],["cyclic",{"_index":1214,"t":{},"b":{"5":{}}}],["cylind",{"_index":2646,"t":{},"b":{"18":{}}}],["d",{"_index":382,"t":{},"b":{"1":{},"20":{},"22":{}}}],["d.fit_mle(d.exponenti",{"_index":3194,"t":{},"b":{"22":{}}}],["d.fit_mle(d.laplac",{"_index":3221,"t":{},"b":{"22":{}}}],["d.fit_mle(d.norm",{"_index":3219,"t":{},"b":{"22":{}}}],["dag",{"_index":2289,"t":{},"b":{"13":{}}}],["data",{"_index":2,"t":{"0":{},"2":{},"3":{},"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["data...pca",{"_index":2496,"t":{},"b":{"17":{}}}],["data.medv",{"_index":2740,"t":{},"b":{"19":{}}}],["data2",{"_index":776,"t":{},"b":{"3":{}}}],["data2×3",{"_index":2313,"t":{},"b":{"13":{}}}],["data_test",{"_index":1488,"t":{},"b":{"6":{}}}],["data_train",{"_index":1486,"t":{},"b":{"6":{}}}],["dataad",{"_index":141,"t":{},"b":{"1":{}}}],["databas",{"_index":2600,"t":{},"b":{"18":{}}}],["databases/hors",{"_index":1453,"t":{},"b":{"6":{}}}],["databases/wine/wine.data",{"_index":1688,"t":{},"b":{"7":{}}}],["datac",{"_index":1512,"t":{},"b":{"6":{}}}],["datac[.!missing_outcom",{"_index":1564,"t":{},"b":{"6":{}}}],["datachoos",{"_index":1877,"t":{},"b":{"8":{}}}],["dataconvert",{"_index":140,"t":{},"b":{"1":{}}}],["datadeclar",{"_index":1962,"t":{},"b":{"9":{}}}],["datadescrib",{"_index":139,"t":{},"b":{"1":{}}}],["datafit",{"_index":2193,"t":{},"b":{"12":{}}}],["datafram",{"_index":137,"t":{"1":{}},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["dataframe([hp.^i",{"_index":3107,"t":{},"b":{"21":{}}}],["dataframe([hpn.^i",{"_index":3144,"t":{},"b":{"21":{}}}],["dataframe(hp1=hp",{"_index":3056,"t":{},"b":{"21":{}}}],["dataframe(hp1=hpn",{"_index":3090,"t":{},"b":{"21":{}}}],["dataframe(x",{"_index":825,"t":{},"b":{"4":{},"5":{}}}],["dataframe(x1=x1",{"_index":2272,"t":{},"b":{"13":{},"14":{}}}],["dataframe(xraw",{"_index":2011,"t":{},"b":{"10":{}}}],["dataframes.aggregate(iri",{"_index":527,"t":{},"b":{"1":{}}}],["dataframes.datafram",{"_index":199,"t":{},"b":{"1":{},"2":{},"7":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["dataframes.jl",{"_index":149,"t":{},"b":{"1":{},"2":{},"18":{}}}],["datainspect",{"_index":1440,"t":{},"b":{"6":{}}}],["datalogist",{"_index":2816,"t":{},"b":{"20":{}}}],["dataplot",{"_index":2599,"t":{},"b":{"18":{}}}],["dataroc",{"_index":2819,"t":{},"b":{"20":{}}}],["dataset",{"_index":162,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"18":{},"20":{}}}],["dataset(\"dataset",{"_index":449,"t":{},"b":{"1":{},"8":{},"17":{}}}],["dataset(\"gap",{"_index":408,"t":{},"b":{"1":{}}}],["dataset(\"islr",{"_index":2537,"t":{},"b":{"17":{},"18":{},"20":{},"21":{},"22":{},"23":{}}}],["dataset(\"mass",{"_index":166,"t":{},"b":{"1":{},"2":{},"3":{},"19":{},"23":{}}}],["datatyp",{"_index":2738,"t":{},"b":{"19":{},"20":{}}}],["dates.d",{"_index":608,"t":{},"b":{"2":{}}}],["dates.datetim",{"_index":609,"t":{},"b":{"2":{}}}],["deal",{"_index":1544,"t":{},"b":{"6":{},"16":{}}}],["deaper",{"_index":1866,"t":{},"b":{"7":{}}}],["decid",{"_index":2157,"t":{},"b":{"11":{},"15":{}}}],["decis",{"_index":2119,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["decisiontre",{"_index":1911,"t":{},"b":{"8":{}}}],["decisiontree.jl",{"_index":1942,"t":{},"b":{"8":{},"23":{}}}],["decisiontreeclassifi",{"_index":1919,"t":{},"b":{"8":{},"12":{},"15":{},"23":{}}}],["decisiontreeclassifier()decisiontreeclassifi",{"_index":2196,"t":{},"b":{"12":{}}}],["decisiontreeclassifierdecisiontreeclassifi",{"_index":2399,"t":{},"b":{"15":{}}}],["decisiontreeregressor",{"_index":2443,"t":{},"b":{"15":{},"23":{}}}],["decisiontreeregressordecisiontreeregressor",{"_index":2120,"t":{},"b":{"11":{}}}],["declar",{"_index":71,"t":{},"b":{"0":{},"9":{},"12":{},"19":{}}}],["default",{"_index":84,"t":{},"b":{"0":{},"3":{},"4":{},"5":{},"6":{},"7":{},"10":{},"17":{},"19":{},"20":{},"22":{}}}],["defin",{"_index":52,"t":{},"b":{"0":{},"3":{},"4":{},"6":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["degre",{"_index":3052,"t":{},"b":{"21":{}}}],["delim",{"_index":640,"t":{},"b":{"2":{},"6":{}}}],["demonstr",{"_index":1174,"t":{},"b":{"5":{},"19":{}}}],["density=tru",{"_index":2792,"t":{},"b":{"19":{},"22":{}}}],["depth",{"_index":1364,"t":{},"b":{"5":{},"12":{},"15":{},"23":{}}}],["depthwis",{"_index":1201,"t":{},"b":{"5":{}}}],["deriv",{"_index":386,"t":{},"b":{"1":{},"7":{}}}],["describ",{"_index":281,"t":{},"b":{"1":{},"6":{},"18":{}}}],["describe(auto",{"_index":2672,"t":{},"b":{"18":{}}}],["describe(boston",{"_index":285,"t":{},"b":{"1":{},"19":{}}}],["describe(data",{"_index":2505,"t":{},"b":{"17":{}}}],["describe(mao",{"_index":409,"t":{},"b":{"1":{}}}],["describe(smarket",{"_index":2839,"t":{},"b":{"20":{}}}],["describe(subdf_setosa",{"_index":488,"t":{},"b":{"1":{}}}],["describe(xc",{"_index":1739,"t":{},"b":{"7":{}}}],["describe(y)(n",{"_index":2107,"t":{},"b":{"11":{}}}],["descript",{"_index":1507,"t":{},"b":{"6":{},"20":{}}}],["detail",{"_index":643,"t":{},"b":{"2":{},"8":{},"10":{},"16":{},"18":{},"20":{}}}],["determin",{"_index":1682,"t":{},"b":{"7":{}}}],["determinist",{"_index":920,"t":{},"b":{"4":{},"16":{}}}],["deterministicnetwork",{"_index":1012,"t":{},"b":{"4":{},"14":{}}}],["deviat",{"_index":1736,"t":{},"b":{"7":{},"17":{}}}],["di",{"_index":186,"t":{},"b":{"1":{},"3":{},"19":{}}}],["dict(\"virginica",{"_index":2220,"t":{},"b":{"12":{}}}],["differ",{"_index":1043,"t":{},"b":{"4":{},"7":{},"8":{},"14":{},"18":{},"20":{},"21":{}}}],["difficult",{"_index":1819,"t":{},"b":{"7":{}}}],["dig",{"_index":1865,"t":{},"b":{"7":{}}}],["digit",{"_index":2254,"t":{},"b":{"12":{},"20":{},"21":{}}}],["digits=2",{"_index":2251,"t":{},"b":{"12":{},"21":{}}}],["digits=4)1.6019",{"_index":2240,"t":{},"b":{"12":{}}}],["dilut",{"_index":1706,"t":{},"b":{"7":{}}}],["dimens",{"_index":1856,"t":{},"b":{"7":{},"18":{}}}],["direct",{"_index":2286,"t":{},"b":{"13":{},"20":{}}}],["directli",{"_index":819,"t":{},"b":{"4":{},"13":{},"21":{}}}],["disable_default_eval_metr",{"_index":1182,"t":{},"b":{"5":{}}}],["discch",{"_index":2541,"t":{},"b":{"17":{}}}],["discmm",{"_index":2542,"t":{},"b":{"17":{}}}],["discrep",{"_index":2237,"t":{},"b":{"12":{}}}],["discrete_to_continu",{"_index":790,"t":{},"b":{"3":{},"6":{},"19":{}}}],["discuss",{"_index":550,"t":{},"b":{"2":{}}}],["displac",{"_index":2647,"t":{},"b":{"18":{}}}],["display",{"_index":1825,"t":{},"b":{"7":{},"20":{}}}],["display_depth",{"_index":2198,"t":{},"b":{"12":{},"15":{},"23":{}}}],["distanc",{"_index":2953,"t":{},"b":{"20":{}}}],["distances.euclidean(0.0",{"_index":956,"t":{},"b":{"4":{},"10":{}}}],["distinct",{"_index":689,"t":{},"b":{"3":{},"6":{}}}],["distinction?th",{"_index":682,"t":{},"b":{"3":{}}}],["distinguish",{"_index":691,"t":{},"b":{"3":{}}}],["distract",{"_index":1497,"t":{},"b":{"6":{}}}],["distribut",{"_index":916,"t":{},"b":{"4":{},"22":{}}}],["distribution_typ",{"_index":885,"t":{},"b":{"4":{}}}],["distributions.jl",{"_index":923,"t":{},"b":{"4":{}}}],["distributions.norm",{"_index":886,"t":{},"b":{"4":{}}}],["distributions.normal{float64}(μ=179454.34347399411",{"_index":910,"t":{},"b":{"4":{}}}],["div_",{"_index":3273,"t":{},"b":{"22":{}}}],["div_w",{"_index":3274,"t":{},"b":{"22":{}}}],["divis",{"_index":3173,"t":{},"b":{"22":{}}}],["do",{"_index":2451,"t":{},"b":{"16":{},"20":{},"22":{}}}],["doc",{"_index":59,"t":{},"b":{"0":{},"3":{},"18":{},"20":{}}}],["document",{"_index":150,"t":{},"b":{"1":{},"16":{}}}],["doesn't",{"_index":122,"t":{},"b":{"0":{},"2":{},"5":{},"21":{}}}],["don't",{"_index":574,"t":{},"b":{"2":{},"6":{},"18":{},"19":{}}}],["done",{"_index":1081,"t":{},"b":{"4":{},"6":{},"7":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"17":{},"18":{},"20":{}}}],["dot",{"_index":1987,"t":{},"b":{"9":{},"13":{},"15":{},"18":{}}}],["down",{"_index":2878,"t":{},"b":{"20":{}}}],["download",{"_index":43,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["drop",{"_index":275,"t":{},"b":{"1":{},"3":{},"6":{}}}],["drop_last",{"_index":1649,"t":{},"b":{"6":{}}}],["dtc",{"_index":1666,"t":{},"b":{"6":{},"15":{},"23":{}}}],["dtcdecis",{"_index":3296,"t":{},"b":{"23":{}}}],["dtr",{"_index":2129,"t":{},"b":{"11":{},"15":{},"23":{}}}],["dtr_model",{"_index":3362,"t":{},"b":{"23":{}}}],["dummi",{"_index":879,"t":{},"b":{"4":{},"9":{},"10":{},"13":{},"15":{}}}],["dummyclassifi",{"_index":1920,"t":{},"b":{"8":{}}}],["e",{"_index":2131,"t":{},"b":{"11":{}}}],["e.g",{"_index":694,"t":{},"b":{"3":{},"13":{},"14":{},"15":{}}}],["each",{"_index":175,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"8":{},"12":{},"16":{},"17":{},"19":{},"20":{},"21":{}}}],["earlier",{"_index":572,"t":{},"b":{"2":{},"7":{},"22":{}}}],["easi",{"_index":399,"t":{},"b":{"1":{},"7":{},"14":{}}}],["easili",{"_index":245,"t":{},"b":{"1":{},"2":{},"18":{},"20":{}}}],["ecosystem",{"_index":1938,"t":{},"b":{"8":{}}}],["edfit",{"_index":3193,"t":{},"b":{"22":{}}}],["educ",{"_index":3309,"t":{},"b":{"23":{}}}],["effect",{"_index":758,"t":{},"b":{"3":{},"4":{},"5":{},"12":{},"13":{},"20":{}}}],["effici",{"_index":581,"t":{},"b":{"2":{}}}],["elast",{"_index":3283,"t":{},"b":{"22":{}}}],["elasticnetregressor",{"_index":3284,"t":{},"b":{"22":{}}}],["element",{"_index":69,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"20":{},"22":{},"24":{}}}],["elementari",{"_index":542,"t":{"2":{}},"b":{"2":{},"16":{}}}],["elementwis",{"_index":2605,"t":{},"b":{"18":{},"19":{}}}],["elscitype(boston2.chas)orderedfactor{2",{"_index":760,"t":{},"b":{"3":{}}}],["elscitype(feature)textu",{"_index":764,"t":{},"b":{"3":{}}}],["elscitype(feature2)multiclass{2",{"_index":767,"t":{},"b":{"3":{}}}],["eltyp",{"_index":373,"t":{},"b":{"1":{},"19":{},"20":{}}}],["eltype(boston2.chas)categoricalarrays.categoricalvalue{int64,uint32",{"_index":759,"t":{},"b":{"3":{}}}],["eltype)14×4",{"_index":2737,"t":{},"b":{"19":{}}}],["eltype)9×4",{"_index":2840,"t":{},"b":{"20":{}}}],["encapsul",{"_index":2343,"t":{},"b":{"13":{}}}],["encod",{"_index":693,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"12":{},"19":{},"22":{},"23":{},"24":{}}}],["end",{"_index":36,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["endadaboostclassifi",{"_index":1908,"t":{},"b":{"8":{}}}],["endsurgeri",{"_index":1520,"t":{},"b":{"6":{}}}],["enough",{"_index":1771,"t":{},"b":{"7":{},"13":{},"17":{}}}],["ensembl",{"_index":21,"t":{"10":{},"11":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["ensemble'",{"_index":2052,"t":{},"b":{"10":{}}}],["ensemble_model",{"_index":2029,"t":{},"b":{"10":{}}}],["ensemblemodel",{"_index":2027,"t":{},"b":{"10":{}}}],["ensemblemodel(atom=decisiontreeregressor",{"_index":2138,"t":{},"b":{"11":{}}}],["ensemblemodel(atom=dtr)deterministicensemblemodel",{"_index":2444,"t":{},"b":{"15":{}}}],["ensemblemodel(atom=knn_model",{"_index":2030,"t":{},"b":{"10":{}}}],["ensemblestrain",{"_index":2000,"t":{},"b":{"10":{}}}],["ensemblesystemat",{"_index":2001,"t":{},"b":{"10":{}}}],["entri",{"_index":74,"t":{},"b":{"0":{},"3":{},"20":{}}}],["entropi",{"_index":1625,"t":{},"b":{"6":{},"12":{},"20":{}}}],["enumerate(names(x",{"_index":2772,"t":{},"b":{"19":{}}}],["environ",{"_index":1941,"t":{},"b":{"8":{},"16":{},"19":{}}}],["ep",{"_index":2413,"t":{},"b":{"15":{}}}],["equal",{"_index":1894,"t":{},"b":{"8":{}}}],["equival",{"_index":2021,"t":{},"b":{"10":{},"13":{}}}],["error",{"_index":2143,"t":{},"b":{"11":{},"19":{},"20":{},"21":{},"22":{}}}],["essenti",{"_index":2726,"t":{},"b":{"19":{}}}],["estim",{"_index":2033,"t":{},"b":{"10":{}}}],["estimates.measurement[1",{"_index":2044,"t":{},"b":{"10":{}}}],["eta",{"_index":1183,"t":{},"b":{"5":{}}}],["etc",{"_index":565,"t":{},"b":{"2":{},"3":{},"6":{},"7":{},"9":{},"13":{},"19":{},"20":{},"24":{}}}],["eval_metr",{"_index":1219,"t":{},"b":{"5":{}}}],["evalu",{"_index":1004,"t":{"8":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{}}}],["evaluate!(cm",{"_index":2377,"t":{},"b":{"14":{}}}],["evaluate!(ensembl",{"_index":2034,"t":{},"b":{"10":{}}}],["evaluate!(knn",{"_index":1803,"t":{},"b":{"7":{},"10":{}}}],["evaluate!(m",{"_index":2177,"t":{},"b":{"11":{}}}],["evaluate!(mach",{"_index":1621,"t":{},"b":{"6":{}}}],["evaluate!(multi",{"_index":1805,"t":{},"b":{"7":{}}}],["evaluate!(tre",{"_index":2132,"t":{},"b":{"11":{}}}],["evaluate(pip",{"_index":1992,"t":{},"b":{"9":{}}}],["even",{"_index":748,"t":{},"b":{"3":{},"11":{}}}],["eventu",{"_index":1788,"t":{},"b":{"7":{}}}],["everyth",{"_index":1708,"t":{},"b":{"7":{}}}],["examin",{"_index":1404,"t":{},"b":{"5":{}}}],["exampl",{"_index":37,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["except",{"_index":526,"t":{},"b":{"1":{},"4":{}}}],["exist",{"_index":2728,"t":{},"b":{"19":{}}}],["exp(z",{"_index":992,"t":{},"b":{"4":{}}}],["exp.(x1",{"_index":2270,"t":{},"b":{"13":{},"14":{}}}],["exp.(xraw[:,1",{"_index":2007,"t":{},"b":{"10":{}}}],["expand",{"_index":806,"t":{},"b":{"4":{}}}],["expect",{"_index":75,"t":{},"b":{"0":{},"6":{},"9":{},"22":{}}}],["experi",{"_index":2465,"t":{},"b":{"16":{}}}],["explain",{"_index":2531,"t":{},"b":{"17":{}}}],["explanatori",{"_index":366,"t":{},"b":{"1":{}}}],["explicit",{"_index":1046,"t":{},"b":{"4":{}}}],["explicitli",{"_index":1007,"t":{},"b":{"4":{}}}],["explor",{"_index":1710,"t":{},"b":{"7":{}}}],["exponenti",{"_index":947,"t":{},"b":{"4":{}}}],["extern",{"_index":1899,"t":{},"b":{"8":{}}}],["extra",{"_index":2800,"t":{},"b":{"19":{}}}],["extract",{"_index":1398,"t":{},"b":{"5":{},"17":{},"19":{}}}],["extratreesclassifi",{"_index":1921,"t":{},"b":{"8":{}}}],["f",{"_index":1968,"t":{},"b":{"9":{}}}],["f1score",{"_index":2930,"t":{},"b":{"20":{}}}],["f1score(i",{"_index":2925,"t":{},"b":{"20":{}}}],["facilit",{"_index":1508,"t":{},"b":{"6":{}}}],["fact",{"_index":570,"t":{},"b":{"2":{},"6":{}}}],["factor",{"_index":1713,"t":{},"b":{"7":{},"20":{}}}],["fair",{"_index":1654,"t":{},"b":{"6":{},"7":{}}}],["fairli",{"_index":364,"t":{},"b":{"1":{},"13":{},"16":{}}}],["fals",{"_index":1105,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"11":{},"12":{},"15":{},"20":{},"21":{},"23":{}}}],["false_positive(cm",{"_index":2920,"t":{},"b":{"20":{}}}],["familiar",{"_index":2470,"t":{},"b":{"16":{}}}],["fancier",{"_index":939,"t":{},"b":{"4":{}}}],["fantast",{"_index":2912,"t":{},"b":{"20":{}}}],["far",{"_index":1006,"t":{},"b":{"4":{},"14":{}}}],["fare",{"_index":1434,"t":{},"b":{"5":{}}}],["faster",{"_index":2167,"t":{},"b":{"11":{}}}],["featur",{"_index":363,"t":{},"b":{"1":{},"3":{},"4":{},"6":{},"7":{},"11":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["feature(",{"_index":754,"t":{},"b":{"3":{}}}],["feature2",{"_index":765,"t":{},"b":{"3":{}}}],["feature_selector",{"_index":1213,"t":{},"b":{"5":{}}}],["featureselector",{"_index":3119,"t":{},"b":{"21":{}}}],["featureselector(features=[:hp1",{"_index":3060,"t":{},"b":{"21":{}}}],["februari",{"_index":130,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fece",{"_index":1473,"t":{},"b":{"6":{}}}],["feed",{"_index":1601,"t":{},"b":{"6":{},"13":{}}}],["feedback",{"_index":2454,"t":{},"b":{"16":{}}}],["feel",{"_index":1737,"t":{},"b":{"7":{},"19":{},"22":{}}}],["few",{"_index":195,"t":{},"b":{"1":{},"3":{},"6":{},"10":{},"16":{},"20":{},"22":{}}}],["few_to_finit",{"_index":785,"t":{},"b":{"3":{}}}],["field",{"_index":2054,"t":{},"b":{"10":{},"15":{},"21":{}}}],["figur",{"_index":1859,"t":{},"b":{"7":{}}}],["figure(figsize=(8",{"_index":1843,"t":{},"b":{"7":{},"17":{}}}],["figure(figsize=(8,6",{"_index":1352,"t":{},"b":{"5":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["file",{"_index":556,"t":{},"b":{"2":{}}}],["fill",{"_index":1593,"t":{},"b":{"6":{},"18":{}}}],["filler",{"_index":1595,"t":{},"b":{"6":{}}}],["fillimput",{"_index":1594,"t":{},"b":{"6":{}}}],["final",{"_index":274,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"13":{},"18":{}}}],["find",{"_index":2453,"t":{},"b":{"16":{},"20":{},"22":{}}}],["findall2",{"_index":1556,"t":{},"b":{"6":{}}}],["fine",{"_index":745,"t":{},"b":{"3":{},"5":{}}}],["finer",{"_index":2169,"t":{},"b":{"11":{}}}],["finit",{"_index":721,"t":{},"b":{"3":{},"6":{}}}],["first",{"_index":194,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"8":{},"11":{},"12":{},"13":{},"14":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["first(auto",{"_index":2643,"t":{},"b":{"18":{}}}],["first(b1",{"_index":267,"t":{},"b":{"1":{}}}],["first(b2",{"_index":272,"t":{},"b":{"1":{}}}],["first(boston",{"_index":197,"t":{},"b":{"1":{},"19":{}}}],["first(carseat",{"_index":3302,"t":{},"b":{"23":{}}}],["first(d",{"_index":384,"t":{},"b":{"1":{}}}],["first(data",{"_index":656,"t":{},"b":{"2":{}}}],["first(iri",{"_index":450,"t":{},"b":{"1":{},"8":{}}}],["first(iris2",{"_index":1887,"t":{},"b":{"8":{}}}],["first(x",{"_index":828,"t":{},"b":{"4":{},"5":{},"8":{},"13":{}}}],["fit",{"_index":17,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["fit!(clf",{"_index":2900,"t":{},"b":{"20":{}}}],["fit!(cmach",{"_index":903,"t":{},"b":{"4":{}}}],["fit!(dtc",{"_index":1668,"t":{},"b":{"6":{}}}],["fit!(dtr",{"_index":3364,"t":{},"b":{"23":{}}}],["fit!(fil",{"_index":1597,"t":{},"b":{"6":{}}}],["fit!(i",{"_index":994,"t":{},"b":{"4":{},"13":{},"14":{}}}],["fit!(knn",{"_index":2017,"t":{},"b":{"10":{}}}],["fit!(lr1",{"_index":3067,"t":{},"b":{"21":{}}}],["fit!(lr2",{"_index":3072,"t":{},"b":{"21":{}}}],["fit!(lr3",{"_index":3075,"t":{},"b":{"21":{}}}],["fit!(m",{"_index":2425,"t":{},"b":{"15":{}}}],["fit!(m)machine{probabilistictunedmodel",{"_index":2417,"t":{},"b":{"15":{}}}],["fit!(mach",{"_index":1038,"t":{},"b":{"4":{},"19":{},"23":{}}}],["fit!(mach_uni)machine{linearregressor",{"_index":2748,"t":{},"b":{"19":{}}}],["fit!(mlm",{"_index":3042,"t":{},"b":{"21":{}}}],["fit!(mstd",{"_index":2998,"t":{},"b":{"20":{}}}],["fit!(mtm",{"_index":1122,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["fit!(pca",{"_index":1831,"t":{},"b":{"7":{},"17":{}}}],["fit!(pip",{"_index":3209,"t":{},"b":{"22":{}}}],["fit!(rf",{"_index":3380,"t":{},"b":{"23":{}}}],["fit!(spca",{"_index":2554,"t":{},"b":{"17":{}}}],["fit!(spca2",{"_index":2580,"t":{},"b":{"17":{}}}],["fit!(stand",{"_index":2248,"t":{},"b":{"12":{}}}],["fit!(svc",{"_index":3414,"t":{},"b":{"24":{}}}],["fit!(tre",{"_index":2214,"t":{},"b":{"12":{}}}],["fit!(tuned_ensembl",{"_index":2076,"t":{},"b":{"10":{}}}],["fit!(w",{"_index":2309,"t":{},"b":{"13":{}}}],["fit!(xgb",{"_index":3389,"t":{},"b":{"23":{}}}],["fit_intercept",{"_index":1607,"t":{},"b":{"6":{},"7":{},"8":{},"19":{},"21":{}}}],["fitresult",{"_index":2224,"t":{},"b":{"12":{}}}],["fitresults(i",{"_index":1028,"t":{},"b":{"4":{},"14":{}}}],["fitted_param",{"_index":2216,"t":{},"b":{"12":{},"15":{},"19":{}}}],["fitted_params(m).best_model.max_depth1",{"_index":2420,"t":{},"b":{"15":{}}}],["fitted_params(m).best_model.max_depth2",{"_index":2426,"t":{},"b":{"15":{}}}],["fitted_params(mach",{"_index":2764,"t":{},"b":{"19":{}}}],["fitted_params(mach_uni",{"_index":2751,"t":{},"b":{"19":{}}}],["fitted_params(mtm).best_model",{"_index":1125,"t":{},"b":{"4":{},"5":{},"22":{}}}],["fitted_params(mtm).best_model.treedecisiontreeclassifi",{"_index":3357,"t":{},"b":{"23":{}}}],["fitted_params(mtm).best_modelsimplepip",{"_index":1648,"t":{},"b":{"6":{}}}],["fitted_params(mtm.fitresult.fitresult.machin",{"_index":3250,"t":{},"b":{"22":{}}}],["fitted_params(tre",{"_index":2217,"t":{},"b":{"12":{}}}],["fitted_params(tuned_ensemble).best_model",{"_index":2079,"t":{},"b":{"10":{}}}],["fix",{"_index":948,"t":{},"b":{"4":{},"5":{},"11":{}}}],["fl",{"_index":1149,"t":{},"b":{"5":{}}}],["flavanoid",{"_index":1699,"t":{},"b":{"7":{}}}],["float",{"_index":704,"t":{},"b":{"3":{},"7":{},"19":{}}}],["float64",{"_index":200,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"11":{},"13":{},"15":{},"18":{},"19":{},"20":{},"23":{}}}],["flow",{"_index":2297,"t":{},"b":{"13":{}}}],["focus",{"_index":155,"t":{},"b":{"1":{}}}],["fold",{"_index":2043,"t":{},"b":{"10":{},"16":{},"21":{}}}],["folder",{"_index":2460,"t":{},"b":{"16":{}}}],["follow",{"_index":57,"t":{},"b":{"0":{},"4":{},"5":{},"6":{},"9":{},"11":{},"13":{},"16":{},"21":{}}}],["fontsize=12",{"_index":1360,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"20":{},"21":{},"22":{}}}],["fontsize=13",{"_index":2596,"t":{},"b":{"17":{}}}],["fontsize=14",{"_index":1356,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"20":{},"21":{},"22":{}}}],["foo",{"_index":383,"t":{},"b":{"1":{}}}],["foo(x",{"_index":379,"t":{},"b":{"1":{}}}],["foo.csv",{"_index":584,"t":{},"b":{"2":{}}}],["forest",{"_index":2103,"t":{},"b":{"11":{},"15":{},"23":{}}}],["forest.atom.n_subfeatur",{"_index":2139,"t":{},"b":{"11":{}}}],["forest.n",{"_index":2158,"t":{},"b":{"11":{}}}],["forestgradi",{"_index":3298,"t":{},"b":{"23":{}}}],["foresttuningreportingprelim",{"_index":2098,"t":{},"b":{"11":{}}}],["forget",{"_index":1590,"t":{},"b":{"6":{}}}],["form",{"_index":469,"t":{},"b":{"1":{},"14":{},"21":{}}}],["found",{"_index":719,"t":{},"b":{"3":{},"7":{},"25":{}}}],["fp",{"_index":2750,"t":{},"b":{"19":{}}}],["fpath",{"_index":645,"t":{},"b":{"2":{}}}],["fpath=joinpath(\"data",{"_index":586,"t":{},"b":{"2":{}}}],["fpr",{"_index":3018,"t":{},"b":{"20":{}}}],["fraction",{"_index":2092,"t":{},"b":{"10":{},"11":{},"15":{}}}],["fraction_train",{"_index":2411,"t":{},"b":{"15":{}}}],["frame",{"_index":9,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["franklin.jl",{"_index":135,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["from_network",{"_index":2349,"t":{},"b":{"14":{}}}],["fs",{"_index":3118,"t":{},"b":{"21":{}}}],["fs.featur",{"_index":3113,"t":{},"b":{"21":{}}}],["full",{"_index":631,"t":{},"b":{"2":{},"4":{},"5":{},"7":{},"13":{},"14":{},"18":{}}}],["fulli",{"_index":2381,"t":{},"b":{"14":{}}}],["function",{"_index":94,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["fundament",{"_index":2468,"t":{},"b":{"16":{}}}],["further",{"_index":389,"t":{},"b":{"1":{},"20":{}}}],["gadfly.jl",{"_index":2710,"t":{},"b":{"18":{}}}],["gamma",{"_index":1184,"t":{},"b":{"5":{},"6":{},"7":{}}}],["garagearea",{"_index":840,"t":{},"b":{"4":{}}}],["garagecar",{"_index":838,"t":{},"b":{"4":{}}}],["gaston",{"_index":2721,"t":{},"b":{"18":{}}}],["gats1i",{"_index":649,"t":{},"b":{"2":{}}}],["gaussiannbclassifi",{"_index":1922,"t":{},"b":{"8":{}}}],["gaussianprocessclassifi",{"_index":1924,"t":{},"b":{"8":{}}}],["gbtree",{"_index":1181,"t":{},"b":{"5":{}}}],["gdf",{"_index":483,"t":{},"b":{"1":{}}}],["gdf[1",{"_index":487,"t":{},"b":{"1":{}}}],["gender",{"_index":413,"t":{},"b":{"1":{},"9":{}}}],["gener",{"_index":1239,"t":{},"b":{"5":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"24":{}}}],["generalis",{"_index":3343,"t":{},"b":{"23":{}}}],["gentl",{"_index":2475,"t":{},"b":{"16":{}}}],["gentler",{"_index":3103,"t":{},"b":{"21":{}}}],["get",{"_index":13,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["get_mse(lr",{"_index":3078,"t":{},"b":{"21":{}}}],["get_mse(lr1",{"_index":3081,"t":{},"b":{"21":{}}}],["get_mse(lr2",{"_index":3082,"t":{},"b":{"21":{}}}],["get_mse(lr3",{"_index":3086,"t":{},"b":{"21":{}}}],["get_mse(lr3)get_mse(lr1",{"_index":3083,"t":{},"b":{"21":{}}}],["ggplot2",{"_index":2714,"t":{},"b":{"18":{}}}],["gilbert",{"_index":862,"t":{},"b":{"4":{}}}],["gist",{"_index":3104,"t":{},"b":{"21":{}}}],["give",{"_index":516,"t":{},"b":{"1":{},"10":{},"12":{},"18":{},"19":{}}}],["given",{"_index":507,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"8":{},"9":{},"13":{},"19":{},"23":{}}}],["glm",{"_index":1930,"t":{},"b":{"8":{},"19":{}}}],["glm.jl",{"_index":1955,"t":{},"b":{"8":{}}}],["go",{"_index":1639,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"16":{}}}],["goal",{"_index":1097,"t":{},"b":{"4":{},"6":{},"15":{},"21":{}}}],["good",{"_index":1873,"t":{},"b":{"7":{},"13":{},"20":{},"22":{},"23":{}}}],["gradient",{"_index":3383,"t":{},"b":{"23":{}}}],["gradientboostingclassifi",{"_index":1925,"t":{},"b":{"8":{}}}],["grammar",{"_index":2712,"t":{},"b":{"18":{}}}],["graph",{"_index":2288,"t":{},"b":{"13":{}}}],["graphic",{"_index":2713,"t":{},"b":{"18":{}}}],["great",{"_index":1380,"t":{},"b":{"5":{}}}],["green",{"_index":2589,"t":{},"b":{"17":{}}}],["grid",{"_index":1083,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["grid(resolution=10",{"_index":3288,"t":{},"b":{"22":{}}}],["grid(resolution=3",{"_index":1085,"t":{},"b":{"4":{}}}],["grlivarea",{"_index":832,"t":{},"b":{"4":{}}}],["ground",{"_index":2330,"t":{},"b":{"13":{},"20":{}}}],["group",{"_index":77,"t":{},"b":{"0":{},"1":{},"17":{}}}],["groupbi",{"_index":467,"t":{},"b":{"1":{}}}],["groupby(df",{"_index":477,"t":{},"b":{"1":{}}}],["groupby(iri",{"_index":484,"t":{},"b":{"1":{}}}],["grow_polici",{"_index":1200,"t":{},"b":{"5":{}}}],["grown",{"_index":1678,"t":{},"b":{"7":{}}}],["gtbex3",{"_index":424,"t":{},"b":{"1":{}}}],["guid",{"_index":2492,"t":{},"b":{"16":{}}}],["gymnast",{"_index":3102,"t":{},"b":{"21":{}}}],["handl",{"_index":0,"t":{"0":{}},"b":{"0":{},"6":{}}}],["happen",{"_index":2886,"t":{},"b":{"20":{}}}],["hcat(x",{"_index":2797,"t":{},"b":{"19":{}}}],["hcat(x.lstat",{"_index":2808,"t":{},"b":{"19":{}}}],["header",{"_index":627,"t":{},"b":{"2":{},"6":{}}}],["header=[\"class",{"_index":1690,"t":{},"b":{"7":{}}}],["header=fals",{"_index":672,"t":{},"b":{"2":{}}}],["header=head",{"_index":655,"t":{},"b":{"2":{},"6":{}}}],["heatmap",{"_index":1385,"t":{},"b":{"5":{},"11":{}}}],["height",{"_index":1969,"t":{},"b":{"9":{}}}],["held",{"_index":1626,"t":{},"b":{"6":{}}}],["help",{"_index":441,"t":{},"b":{"1":{},"5":{},"8":{},"9":{},"16":{}}}],["helper",{"_index":729,"t":{},"b":{"3":{}}}],["here",{"_index":101,"t":{},"b":{"0":{},"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["hierarchi",{"_index":718,"t":{},"b":{"3":{}}}],["high",{"_index":113,"t":{},"b":{"0":{},"3":{},"7":{},"23":{}}}],["high\"])6",{"_index":116,"t":{},"b":{"0":{}}}],["higher",{"_index":2938,"t":{},"b":{"20":{},"21":{},"23":{}}}],["highlight",{"_index":2478,"t":{},"b":{"16":{}}}],["hist(i",{"_index":3189,"t":{},"b":{"22":{}}}],["hist(r",{"_index":2791,"t":{},"b":{"19":{},"22":{}}}],["histogram",{"_index":1769,"t":{},"b":{"7":{},"19":{},"22":{}}}],["hit",{"_index":3162,"t":{},"b":{"22":{}}}],["hitter",{"_index":3156,"t":{},"b":{"22":{}}}],["hmrun",{"_index":3163,"t":{},"b":{"22":{}}}],["hold",{"_index":1232,"t":{},"b":{"5":{},"20":{}}}],["holdout",{"_index":2410,"t":{},"b":{"15":{}}}],["home",{"_index":5,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["homogen",{"_index":2024,"t":{},"b":{"10":{}}}],["hors",{"_index":42,"t":{"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["horsepow",{"_index":2648,"t":{},"b":{"18":{},"21":{}}}],["horsepower=range(50",{"_index":3046,"t":{},"b":{"21":{}}}],["hospit",{"_index":1533,"t":{},"b":{"6":{}}}],["hospital_numb",{"_index":1459,"t":{},"b":{"6":{}}}],["hot",{"_index":941,"t":{},"b":{"4":{},"6":{},"9":{},"16":{},"22":{},"23":{}}}],["hottreeclf",{"_index":3337,"t":{},"b":{"23":{}}}],["hottreeclf(hot",{"_index":3336,"t":{},"b":{"23":{}}}],["hous",{"_index":813,"t":{},"b":{"4":{}}}],["hp",{"_index":3053,"t":{},"b":{"21":{}}}],["hp1",{"_index":3069,"t":{},"b":{"21":{}}}],["hp2",{"_index":3070,"t":{},"b":{"21":{}}}],["hp2=hp.^2",{"_index":3057,"t":{},"b":{"21":{}}}],["hp2=hpn.^2",{"_index":3091,"t":{},"b":{"21":{}}}],["hp3",{"_index":3073,"t":{},"b":{"21":{}}}],["hp3=hp.^3",{"_index":3058,"t":{},"b":{"21":{}}}],["hp3=hpn.^3",{"_index":3092,"t":{},"b":{"21":{}}}],["hpn",{"_index":3088,"t":{},"b":{"21":{}}}],["http",{"_index":1450,"t":{},"b":{"6":{},"7":{}}}],["http.get(\"https://archive.ics.uci.edu/ml/machin",{"_index":1452,"t":{},"b":{"6":{},"7":{}}}],["http.jl",{"_index":1686,"t":{},"b":{"7":{}}}],["hue",{"_index":1704,"t":{},"b":{"7":{}}}],["huge",{"_index":2971,"t":{},"b":{"20":{}}}],["hunch",{"_index":1730,"t":{},"b":{"7":{}}}],["hyperparamet",{"_index":880,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"22":{}}}],["hyperparameters\"arrow",{"_index":2265,"t":{},"b":{"13":{}}}],["hyperparameterspecifi",{"_index":2394,"t":{},"b":{"15":{}}}],["i.",{"_index":72,"t":{},"b":{"0":{},"20":{}}}],["id",{"_index":412,"t":{},"b":{"1":{}}}],["idea",{"_index":2142,"t":{},"b":{"11":{},"18":{},"23":{}}}],["idx_missing_outcom",{"_index":1555,"t":{},"b":{"6":{}}}],["idxshow",{"_index":3277,"t":{},"b":{"22":{}}}],["ifelse.(carseats.sal",{"_index":3332,"t":{},"b":{"23":{}}}],["ignor",{"_index":3179,"t":{},"b":{"22":{}}}],["ignorerepeated=tru",{"_index":1485,"t":{},"b":{"6":{}}}],["iid",{"_index":2629,"t":{},"b":{"18":{}}}],["implement",{"_index":727,"t":{},"b":{"3":{},"8":{},"12":{},"15":{}}}],["implicit",{"_index":2042,"t":{},"b":{"10":{}}}],["implicitli",{"_index":1990,"t":{},"b":{"9":{},"10":{},"11":{}}}],["import",{"_index":690,"t":{},"b":{"3":{},"4":{},"13":{},"19":{},"20":{},"22":{}}}],["improv",{"_index":1659,"t":{},"b":{"6":{}}}],["imput",{"_index":1550,"t":{},"b":{"6":{},"16":{}}}],["includ",{"_index":3269,"t":{},"b":{"22":{}}}],["incom",{"_index":3305,"t":{},"b":{"23":{}}}],["increas",{"_index":2144,"t":{},"b":{"11":{},"20":{}}}],["increment",{"_index":3106,"t":{},"b":{"21":{}}}],["inde",{"_index":2946,"t":{},"b":{"20":{}}}],["index",{"_index":2635,"t":{},"b":{"18":{}}}],["indic",{"_index":360,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"8":{},"10":{},"12":{},"13":{},"15":{},"18":{},"20":{},"21":{}}}],["individu",{"_index":945,"t":{},"b":{"4":{}}}],["indu",{"_index":181,"t":{},"b":{"1":{},"3":{},"19":{}}}],["infer",{"_index":1883,"t":{},"b":{"8":{},"14":{},"20":{}}}],["infinit",{"_index":724,"t":{},"b":{"3":{}}}],["influenc",{"_index":2711,"t":{},"b":{"18":{}}}],["inform",{"_index":506,"t":{},"b":{"1":{},"3":{},"10":{},"12":{},"15":{},"16":{}}}],["initi",{"_index":991,"t":{},"b":{"4":{},"6":{},"7":{},"15":{}}}],["input",{"_index":878,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"13":{},"14":{}}}],["inspect",{"_index":735,"t":{},"b":{"3":{},"5":{},"6":{},"12":{},"15":{},"17":{},"23":{}}}],["inspir",{"_index":1139,"t":{},"b":{"5":{}}}],["instanc",{"_index":378,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"13":{},"15":{},"19":{},"20":{},"24":{}}}],["instanti",{"_index":1032,"t":{},"b":{"4":{},"10":{},"21":{}}}],["instead",{"_index":2532,"t":{},"b":{"17":{}}}],["insur",{"_index":2818,"t":{},"b":{"20":{}}}],["int",{"_index":695,"t":{},"b":{"3":{}}}],["int64",{"_index":201,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"19":{}}}],["integ",{"_index":791,"t":{},"b":{"3":{},"7":{},"19":{},"22":{}}}],["intend",{"_index":734,"t":{},"b":{"3":{}}}],["intens",{"_index":1703,"t":{},"b":{"7":{}}}],["interact",{"_index":2793,"t":{},"b":{"19":{}}}],["intercept",{"_index":2784,"t":{},"b":{"19":{},"22":{}}}],["interest",{"_index":264,"t":{},"b":{"1":{},"15":{},"17":{},"20":{}}}],["interestingli",{"_index":1042,"t":{},"b":{"4":{},"6":{}}}],["interfac",{"_index":1900,"t":{},"b":{"8":{},"23":{}}}],["interpret",{"_index":679,"t":{"3":{}},"b":{"3":{},"6":{},"7":{},"8":{},"13":{},"16":{},"19":{},"20":{}}}],["interpretationmachin",{"_index":1875,"t":{},"b":{"8":{}}}],["intro",{"_index":26,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["introduc",{"_index":2835,"t":{},"b":{"20":{}}}],["introduct",{"_index":154,"t":{},"b":{"1":{},"2":{},"16":{},"21":{}}}],["intuit",{"_index":170,"t":{},"b":{"1":{},"7":{},"20":{}}}],["invers",{"_index":946,"t":{},"b":{"4":{},"12":{},"13":{}}}],["inverse_transform",{"_index":2242,"t":{},"b":{"12":{}}}],["inverse_transform(1…03",{"_index":2328,"t":{},"b":{"13":{}}}],["inverse_transform(1…71",{"_index":2365,"t":{},"b":{"14":{}}}],["inverse_transform(box",{"_index":2325,"t":{},"b":{"13":{},"14":{}}}],["inverse_transform(stand",{"_index":2259,"t":{},"b":{"12":{}}}],["inverse_transform(z",{"_index":2344,"t":{},"b":{"13":{}}}],["invert",{"_index":990,"t":{},"b":{"4":{},"13":{}}}],["investig",{"_index":1382,"t":{},"b":{"5":{},"6":{},"20":{}}}],["invit",{"_index":1767,"t":{},"b":{"7":{}}}],["iri",{"_index":448,"t":{},"b":{"1":{},"2":{},"4":{},"8":{},"12":{}}}],["iris2",{"_index":1885,"t":{},"b":{"8":{}}}],["is_probabilistic=tru",{"_index":1619,"t":{},"b":{"6":{},"7":{},"14":{},"23":{}}}],["is_probabilistic=truemnpip",{"_index":1785,"t":{},"b":{"7":{}}}],["isl",{"_index":2480,"t":{},"b":{"16":{},"20":{},"21":{}}}],["islr",{"_index":2973,"t":{},"b":{"20":{}}}],["ismissing.(datac.outcom",{"_index":1554,"t":{},"b":{"6":{}}}],["ismissing.(i",{"_index":3181,"t":{},"b":{"22":{}}}],["it'",{"_index":750,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"13":{},"14":{},"19":{},"22":{},"23":{}}}],["itali",{"_index":1680,"t":{},"b":{"7":{}}}],["itself",{"_index":2201,"t":{},"b":{"12":{},"20":{}}}],["j",{"_index":3110,"t":{},"b":{"21":{}}}],["john",{"_index":712,"t":{},"b":{"3":{}}}],["joinpath",{"_index":620,"t":{},"b":{"2":{}}}],["jointli",{"_index":2048,"t":{},"b":{"10":{}}}],["juic",{"_index":2536,"t":{},"b":{"17":{}}}],["julia",{"_index":247,"t":{},"b":{"1":{},"2":{},"4":{},"7":{},"8":{},"13":{},"16":{},"18":{},"19":{}}}],["k",{"_index":952,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{},"21":{}}}],["k_rang",{"_index":1060,"t":{},"b":{"4":{},"10":{}}}],["kdtree",{"_index":954,"t":{},"b":{"4":{},"10":{}}}],["keep",{"_index":1449,"t":{},"b":{"6":{},"12":{}}}],["kernel",{"_index":3427,"t":{},"b":{"24":{}}}],["key",{"_index":156,"t":{},"b":{"1":{},"6":{}}}],["keyword",{"_index":1986,"t":{},"b":{"9":{},"15":{}}}],["kind",{"_index":2559,"t":{},"b":{"17":{}}}],["kind=:target",{"_index":1019,"t":{},"b":{"4":{},"14":{}}}],["kind=:target)source{:target",{"_index":968,"t":{},"b":{"4":{},"13":{},"14":{}}}],["km",{"_index":2575,"t":{},"b":{"17":{}}}],["kmean",{"_index":2572,"t":{},"b":{"17":{}}}],["kmeans(k=3",{"_index":2576,"t":{},"b":{"17":{}}}],["knc",{"_index":1945,"t":{},"b":{"8":{}}}],["kneighborsclassifi",{"_index":1927,"t":{},"b":{"8":{}}}],["kneighborsclassifierkneighborsclassifi",{"_index":1946,"t":{},"b":{"8":{}}}],["knn",{"_index":935,"t":{"20":{}},"b":{"4":{},"7":{},"9":{},"10":{},"16":{},"20":{}}}],["knn_model",{"_index":1022,"t":{},"b":{"4":{},"10":{}}}],["knn_model.k",{"_index":1062,"t":{},"b":{"4":{}}}],["knn_model::knnregressor",{"_index":1013,"t":{},"b":{"4":{}}}],["knn_weight",{"_index":1056,"t":{},"b":{"4":{}}}],["knn_weight::float64",{"_index":1015,"t":{},"b":{"4":{}}}],["knnc",{"_index":2965,"t":{},"b":{"20":{}}}],["knnc.k",{"_index":2969,"t":{},"b":{"20":{}}}],["knnclassifi",{"_index":1778,"t":{},"b":{"7":{},"8":{},"20":{}}}],["knnclassifier(k=1",{"_index":2966,"t":{},"b":{"20":{}}}],["knnpipe(std=standard",{"_index":1781,"t":{},"b":{"7":{}}}],["knnregressor",{"_index":1094,"t":{},"b":{"4":{},"9":{},"10":{}}}],["knnregressor(k=10)knnregressor",{"_index":2013,"t":{},"b":{"10":{}}}],["knnregressor(k=3",{"_index":1984,"t":{},"b":{"9":{}}}],["knnregressor(k=5",{"_index":1001,"t":{},"b":{"4":{}}}],["knnregressorknnregressor",{"_index":951,"t":{},"b":{"4":{}}}],["knnridgeblend",{"_index":1011,"t":{},"b":{"4":{}}}],["knnridgeblend(knnregressor(k=5",{"_index":1034,"t":{},"b":{"4":{}}}],["know",{"_index":1506,"t":{},"b":{"6":{},"7":{}}}],["known",{"_index":563,"t":{},"b":{"2":{},"3":{},"4":{}}}],["krb",{"_index":1033,"t":{},"b":{"4":{}}}],["krb.knn_model.k",{"_index":1048,"t":{},"b":{"4":{}}}],["krb.knn_weight",{"_index":1047,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambda",{"_index":1050,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambdakrb.knn_weight",{"_index":1049,"t":{},"b":{"4":{}}}],["krb_best",{"_index":1124,"t":{},"b":{"4":{}}}],["krb_best.knn_model.k",{"_index":1126,"t":{},"b":{"4":{}}}],["krb_best.knn_weight",{"_index":1130,"t":{},"b":{"4":{}}}],["krb_best.knn_weightkrb_best.knn_model.k",{"_index":1128,"t":{},"b":{"4":{}}}],["krb_best.ridge_model.lambda",{"_index":1127,"t":{},"b":{"4":{}}}],["l2",{"_index":1606,"t":{},"b":{"6":{},"7":{}}}],["l_rang",{"_index":1066,"t":{},"b":{"4":{}}}],["lab",{"_index":28,"t":{"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["label",{"_index":80,"t":{},"b":{"0":{},"3":{}}}],["label=\"exponenti",{"_index":3199,"t":{},"b":{"22":{}}}],["label=\"laplac",{"_index":3226,"t":{},"b":{"22":{}}}],["label=\"norm",{"_index":3224,"t":{},"b":{"22":{}}}],["label=\"ord",{"_index":3099,"t":{},"b":{"21":{}}}],["lag1",{"_index":2827,"t":{},"b":{"20":{}}}],["lag2",{"_index":2828,"t":{},"b":{"20":{}}}],["lag3",{"_index":2829,"t":{},"b":{"20":{}}}],["lag4",{"_index":2830,"t":{},"b":{"20":{}}}],["lag5",{"_index":2831,"t":{},"b":{"20":{}}}],["lambda",{"_index":1055,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"13":{}}}],["lasso",{"_index":2482,"t":{"22":{}},"b":{"16":{},"22":{}}}],["lassoregressor",{"_index":3155,"t":{},"b":{"22":{}}}],["last",{"_index":128,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["last(test)+1:nrows(x",{"_index":3005,"t":{},"b":{"20":{}}}],["last(train",{"_index":1504,"t":{},"b":{"6":{}}}],["last(train)+1:length(i",{"_index":2934,"t":{},"b":{"20":{}}}],["later",{"_index":2285,"t":{},"b":{"13":{},"20":{}}}],["latex",{"_index":2719,"t":{},"b":{"18":{}}}],["layer",{"_index":970,"t":{},"b":{"4":{},"13":{},"14":{}}}],["lc50",{"_index":653,"t":{},"b":{"2":{}}}],["lda",{"_index":1928,"t":{"20":{}},"b":{"8":{},"16":{},"20":{}}}],["lead",{"_index":971,"t":{},"b":{"4":{}}}],["leaf_siz",{"_index":1948,"t":{},"b":{"8":{}}}],["leafsiz",{"_index":957,"t":{},"b":{"4":{},"10":{}}}],["leagu",{"_index":3172,"t":{},"b":{"22":{}}}],["league__a",{"_index":3271,"t":{},"b":{"22":{}}}],["league__n",{"_index":3272,"t":{},"b":{"22":{}}}],["learn",{"_index":24,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["learning_curve!(m",{"_index":2150,"t":{},"b":{"11":{}}}],["learning_curve!(xgbm",{"_index":1244,"t":{},"b":{"5":{}}}],["leav",{"_index":2219,"t":{},"b":{"12":{},"20":{}}}],["left",{"_index":1552,"t":{},"b":{"6":{},"12":{},"21":{}}}],["legend([\"class",{"_index":1858,"t":{},"b":{"7":{}}}],["legend([\"group",{"_index":2597,"t":{},"b":{"17":{}}}],["legend(fontsize=12",{"_index":3200,"t":{},"b":{"22":{}}}],["legend(fontsize=14",{"_index":3100,"t":{},"b":{"21":{}}}],["length",{"_index":2109,"t":{},"b":{"11":{}}}],["length(coefs)0.2727272727272727",{"_index":3267,"t":{},"b":{"22":{}}}],["length(sch.nam",{"_index":2105,"t":{},"b":{"11":{}}}],["length(unique(datac.hospital_number))346",{"_index":1537,"t":{},"b":{"6":{}}}],["length(x",{"_index":381,"t":{},"b":{"1":{},"18":{}}}],["length(x)x",{"_index":2604,"t":{},"b":{"18":{}}}],["length=100",{"_index":2760,"t":{},"b":{"19":{},"21":{},"22":{}}}],["lesion",{"_index":1496,"t":{},"b":{"6":{}}}],["lesion_1",{"_index":1480,"t":{},"b":{"6":{}}}],["lesion_2",{"_index":1481,"t":{},"b":{"6":{}}}],["lesion_3",{"_index":1482,"t":{},"b":{"6":{}}}],["let'",{"_index":95,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["level",{"_index":81,"t":{},"b":{"0":{},"4":{},"7":{}}}],["levels!(v",{"_index":115,"t":{},"b":{"0":{}}}],["levels(i",{"_index":1168,"t":{},"b":{"5":{}}}],["levels(v)3",{"_index":82,"t":{},"b":{"0":{}}}],["lexicograph",{"_index":86,"t":{},"b":{"0":{},"20":{}}}],["lfit",{"_index":3220,"t":{},"b":{"22":{}}}],["liber",{"_index":2477,"t":{},"b":{"16":{}}}],["librari",{"_index":2625,"t":{},"b":{"18":{}}}],["lienart",{"_index":126,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["limit",{"_index":636,"t":{},"b":{"2":{},"6":{}}}],["line",{"_index":630,"t":{},"b":{"2":{},"7":{},"17":{},"21":{}}}],["linear",{"_index":1250,"t":{"19":{}},"b":{"5":{},"6":{},"10":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["linearbinaryclassifi",{"_index":1929,"t":{},"b":{"8":{}}}],["linearregressor",{"_index":1954,"t":{},"b":{"8":{},"19":{},"21":{},"22":{}}}],["linearregressor()linearregressor",{"_index":2743,"t":{},"b":{"19":{}}}],["linestyle=\"non",{"_index":1846,"t":{},"b":{"7":{}}}],["link",{"_index":50,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["linmod",{"_index":3063,"t":{},"b":{"21":{}}}],["linmod(f",{"_index":3059,"t":{},"b":{"21":{}}}],["linreg",{"_index":1958,"t":{},"b":{"8":{}}}],["list",{"_index":561,"t":{},"b":{"2":{},"3":{},"18":{}}}],["littl",{"_index":1874,"t":{},"b":{"7":{}}}],["lm",{"_index":3039,"t":{},"b":{"21":{}}}],["load",{"_index":8,"t":{"2":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["load_am",{"_index":820,"t":{},"b":{"4":{}}}],["load_boston",{"_index":2104,"t":{},"b":{"11":{}}}],["load_crab",{"_index":1145,"t":{},"b":{"5":{}}}],["load_iri",{"_index":1896,"t":{},"b":{"8":{},"12":{},"15":{}}}],["load_reduced_am",{"_index":821,"t":{},"b":{"4":{}}}],["local",{"_index":555,"t":{},"b":{"2":{}}}],["log",{"_index":942,"t":{},"b":{"4":{}}}],["log(i",{"_index":976,"t":{},"b":{"4":{}}}],["log10",{"_index":2066,"t":{},"b":{"10":{}}}],["logarithm",{"_index":2067,"t":{},"b":{"10":{}}}],["logist",{"_index":1777,"t":{"20":{}},"b":{"7":{},"20":{}}}],["logisticclassifi",{"_index":1932,"t":{},"b":{"8":{},"20":{}}}],["logisticcvclassifi",{"_index":1931,"t":{},"b":{"8":{}}}],["look",{"_index":1351,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"11":{},"16":{},"17":{},"19":{},"20":{},"22":{}}}],["loos",{"_index":58,"t":{},"b":{"0":{},"1":{}}}],["loss",{"_index":928,"t":{},"b":{"4":{},"20":{}}}],["lossfunct",{"_index":1144,"t":{},"b":{"5":{}}}],["lot",{"_index":438,"t":{},"b":{"1":{},"4":{},"6":{}}}],["lotarea",{"_index":837,"t":{},"b":{"4":{}}}],["low",{"_index":112,"t":{},"b":{"0":{},"3":{},"11":{}}}],["lower",{"_index":1655,"t":{},"b":{"6":{},"15":{},"23":{}}}],["lower=0",{"_index":1371,"t":{},"b":{"5":{}}}],["lower=0.1",{"_index":1071,"t":{},"b":{"4":{},"22":{},"24":{}}}],["lower=0.4",{"_index":2165,"t":{},"b":{"11":{},"15":{}}}],["lower=0.5",{"_index":2062,"t":{},"b":{"10":{}}}],["lower=0.6",{"_index":1416,"t":{},"b":{"5":{}}}],["lower=1",{"_index":1068,"t":{},"b":{"4":{},"6":{},"10":{},"11":{},"15":{},"22":{},"23":{}}}],["lower=10",{"_index":2148,"t":{},"b":{"11":{}}}],["lower=2",{"_index":1063,"t":{},"b":{"4":{},"23":{}}}],["lower=3",{"_index":1369,"t":{},"b":{"5":{}}}],["lower=50",{"_index":1242,"t":{},"b":{"5":{}}}],["lower=500",{"_index":3245,"t":{},"b":{"22":{}}}],["lr",{"_index":3061,"t":{},"b":{"21":{}}}],["lr1",{"_index":3064,"t":{},"b":{"21":{}}}],["lr2",{"_index":3071,"t":{},"b":{"21":{}}}],["lr3",{"_index":3074,"t":{},"b":{"21":{}}}],["lrm",{"_index":3062,"t":{},"b":{"21":{}}}],["lrm.fs.featur",{"_index":3068,"t":{},"b":{"21":{}}}],["ls=\"none",{"_index":2432,"t":{},"b":{"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["lstat",{"_index":191,"t":{},"b":{"1":{},"3":{},"19":{}}}],["lstat2",{"_index":2812,"t":{},"b":{"19":{}}}],["lstat^2",{"_index":2807,"t":{},"b":{"19":{}}}],["lw=3",{"_index":3051,"t":{},"b":{"21":{},"22":{}}}],["m",{"_index":1903,"t":{},"b":{"8":{},"9":{},"11":{},"15":{},"17":{}}}],["m.package_nam",{"_index":1907,"t":{},"b":{"8":{}}}],["m.prediction_typ",{"_index":1905,"t":{},"b":{"8":{}}}],["mach",{"_index":1036,"t":{},"b":{"4":{},"6":{},"19":{},"23":{}}}],["mach_uni",{"_index":2747,"t":{},"b":{"19":{}}}],["machin",{"_index":159,"t":{"24":{}},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"23":{},"24":{}}}],["machine(bayesianlda",{"_index":2948,"t":{},"b":{"20":{}}}],["machine(bayesianqda",{"_index":2962,"t":{},"b":{"20":{}}}],["machine(box_model",{"_index":2322,"t":{},"b":{"13":{},"14":{}}}],["machine(compositemodel",{"_index":2376,"t":{},"b":{"14":{}}}],["machine(creg",{"_index":894,"t":{},"b":{"4":{}}}],["machine(decisiontreeregressor",{"_index":2130,"t":{},"b":{"11":{}}}],["machine(dtr_model",{"_index":3363,"t":{},"b":{"23":{}}}],["machine(ensemble_model",{"_index":2032,"t":{},"b":{"10":{}}}],["machine(fillimput",{"_index":1596,"t":{},"b":{"6":{}}}],["machine(forest",{"_index":2146,"t":{},"b":{"11":{}}}],["machine(knn_model",{"_index":1025,"t":{},"b":{"4":{},"10":{}}}],["machine(knnc",{"_index":2967,"t":{},"b":{"20":{}}}],["machine(knnclassifier(k=3",{"_index":3006,"t":{},"b":{"20":{}}}],["machine(knnpip",{"_index":1796,"t":{},"b":{"7":{}}}],["machine(knnregressor(k=5",{"_index":978,"t":{},"b":{"4":{}}}],["machine(krb",{"_index":1037,"t":{},"b":{"4":{}}}],["machine(lda(dist=cosinedist",{"_index":2954,"t":{},"b":{"20":{}}}],["machine(lm",{"_index":3041,"t":{},"b":{"21":{}}}],["machine(logisticclassifi",{"_index":2897,"t":{},"b":{"20":{}}}],["machine(lrm",{"_index":3065,"t":{},"b":{"21":{}}}],["machine(m.box_model",{"_index":2388,"t":{},"b":{"14":{}}}],["machine(mdl",{"_index":2392,"t":{},"b":{"14":{},"19":{},"23":{}}}],["machine(mnpip",{"_index":1798,"t":{},"b":{"7":{}}}],["machine(model",{"_index":3208,"t":{},"b":{"22":{}}}],["machine(onehotencod",{"_index":974,"t":{},"b":{"4":{}}}],["machine(pca_mdl",{"_index":2521,"t":{},"b":{"17":{}}}],["machine(pcapip",{"_index":1830,"t":{},"b":{"7":{}}}],["machine(rf_mdl",{"_index":3379,"t":{},"b":{"23":{}}}],["machine(ridge_model",{"_index":1024,"t":{},"b":{"4":{},"13":{},"14":{}}}],["machine(ridgeregressor(lambda=2.5",{"_index":979,"t":{},"b":{"4":{}}}],["machine(simplepip",{"_index":1620,"t":{},"b":{"6":{}}}],["machine(spca2_mdl",{"_index":2579,"t":{},"b":{"17":{}}}],["machine(spca_mdl",{"_index":2553,"t":{},"b":{"17":{}}}],["machine(stand_model",{"_index":2245,"t":{},"b":{"12":{}}}],["machine(standard",{"_index":2302,"t":{},"b":{"13":{},"20":{}}}],["machine(std_model",{"_index":2358,"t":{},"b":{"14":{}}}],["machine(svc_mdl",{"_index":3413,"t":{},"b":{"24":{}}}],["machine(tm",{"_index":1121,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["machine(tree_model",{"_index":2203,"t":{},"b":{"12":{}}}],["machine(tuned_forest",{"_index":2176,"t":{},"b":{"11":{}}}],["machine(xgb",{"_index":1234,"t":{},"b":{"5":{}}}],["machine(xgb_mdl",{"_index":3388,"t":{},"b":{"23":{}}}],["machine(xgboostclassifi",{"_index":1667,"t":{},"b":{"6":{}}}],["machineget",{"_index":3299,"t":{},"b":{"23":{}}}],["machinemor",{"_index":1135,"t":{},"b":{"5":{}}}],["machinetrain",{"_index":2190,"t":{},"b":{"12":{}}}],["machineunsupervis",{"_index":2194,"t":{},"b":{"12":{}}}],["macro",{"_index":1978,"t":{},"b":{"9":{},"14":{}}}],["macrodefin",{"_index":2350,"t":{},"b":{"14":{}}}],["made",{"_index":2102,"t":{},"b":{"11":{}}}],["magnesium",{"_index":1696,"t":{},"b":{"7":{}}}],["magnesium=>continu",{"_index":1734,"t":{},"b":{"7":{}}}],["make",{"_index":405,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"11":{},"12":{},"13":{},"16":{},"20":{}}}],["maki",{"_index":2720,"t":{},"b":{"18":{}}}],["malibu",{"_index":2658,"t":{},"b":{"18":{}}}],["malic",{"_index":1692,"t":{},"b":{"7":{}}}],["manag",{"_index":1861,"t":{},"b":{"7":{}}}],["mani",{"_index":560,"t":{},"b":{"2":{},"3":{},"6":{},"10":{},"11":{},"18":{},"19":{},"20":{}}}],["manifest.toml",{"_index":2459,"t":{},"b":{"16":{}}}],["manipul",{"_index":136,"t":{"1":{}},"b":{"1":{},"16":{},"18":{}}}],["manual",{"_index":2345,"t":{},"b":{"13":{}}}],["mao",{"_index":407,"t":{},"b":{"1":{}}}],["mao31co2",{"_index":437,"t":{},"b":{"1":{}}}],["mao31cod",{"_index":436,"t":{},"b":{"1":{}}}],["maoa31",{"_index":433,"t":{},"b":{"1":{}}}],["maoai2",{"_index":420,"t":{},"b":{"1":{}}}],["maoavntr",{"_index":426,"t":{},"b":{"1":{}}}],["maobi2",{"_index":422,"t":{},"b":{"1":{}}}],["map",{"_index":2887,"t":{},"b":{"20":{}}}],["margin",{"_index":3418,"t":{},"b":{"24":{}}}],["maria",{"_index":713,"t":{},"b":{"3":{}}}],["mark",{"_index":2879,"t":{},"b":{"20":{}}}],["marker",{"_index":2593,"t":{},"b":{"17":{}}}],["marker=\"o",{"_index":1847,"t":{},"b":{"7":{},"15":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["marker=\"x",{"_index":3406,"t":{},"b":{"24":{}}}],["markersize=10",{"_index":2594,"t":{},"b":{"17":{}}}],["market",{"_index":2815,"t":{},"b":{"20":{}}}],["mask1",{"_index":2583,"t":{},"b":{"17":{}}}],["mask2",{"_index":2584,"t":{},"b":{"17":{}}}],["mask3",{"_index":2585,"t":{},"b":{"17":{}}}],["mask_1",{"_index":1840,"t":{},"b":{"7":{}}}],["mask_2",{"_index":1841,"t":{},"b":{"7":{}}}],["mask_3",{"_index":1842,"t":{},"b":{"7":{}}}],["mass",{"_index":569,"t":{},"b":{"2":{}}}],["mat",{"_index":393,"t":{},"b":{"1":{}}}],["mat[1:3",{"_index":395,"t":{},"b":{"1":{}}}],["match",{"_index":102,"t":{},"b":{"0":{},"8":{},"21":{}}}],["math",{"_index":2617,"t":{},"b":{"18":{}}}],["matplotlib",{"_index":2716,"t":{},"b":{"18":{}}}],["matrix",{"_index":252,"t":{},"b":{"1":{},"6":{},"18":{},"20":{},"21":{}}}],["max",{"_index":287,"t":{},"b":{"1":{}}}],["max)5×4",{"_index":489,"t":{},"b":{"1":{}}}],["max_bin",{"_index":1203,"t":{},"b":{"5":{}}}],["max_delta_step",{"_index":1187,"t":{},"b":{"5":{}}}],["max_depth",{"_index":1185,"t":{},"b":{"5":{},"11":{},"12":{},"15":{},"23":{}}}],["max_depth=10",{"_index":3387,"t":{},"b":{"23":{}}}],["max_leav",{"_index":1202,"t":{},"b":{"5":{}}}],["maximum",{"_index":637,"t":{},"b":{"2":{},"5":{},"11":{},"15":{}}}],["mayb",{"_index":1664,"t":{},"b":{"6":{},"19":{}}}],["mce",{"_index":2238,"t":{},"b":{"12":{}}}],["mcr",{"_index":1632,"t":{},"b":{"6":{},"7":{}}}],["mcr_k",{"_index":1808,"t":{},"b":{"7":{}}}],["mcr_m",{"_index":1810,"t":{},"b":{"7":{}}}],["mcw",{"_index":1390,"t":{},"b":{"5":{}}}],["md",{"_index":1388,"t":{},"b":{"5":{}}}],["mdl",{"_index":2390,"t":{},"b":{"14":{},"19":{},"23":{}}}],["mean",{"_index":151,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"10":{},"11":{},"12":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["mean(estimates.per_fold[1",{"_index":2046,"t":{},"b":{"10":{}}}],["mean(estimates.per_fold[1])estimates.measurement[1",{"_index":2045,"t":{},"b":{"10":{}}}],["mean(w",{"_index":2252,"t":{},"b":{"12":{}}}],["mean(x",{"_index":2631,"t":{},"b":{"18":{}}}],["mean(y[test",{"_index":3008,"t":{},"b":{"20":{}}}],["mean)3×2",{"_index":509,"t":{},"b":{"1":{}}}],["mean0.6129047398190444",{"_index":1658,"t":{},"b":{"6":{}}}],["mean0.8421915405806384",{"_index":1670,"t":{},"b":{"6":{}}}],["mean23.44591836734694",{"_index":2699,"t":{},"b":{"18":{}}}],["meant",{"_index":152,"t":{},"b":{"1":{},"16":{}}}],["measur",{"_index":1106,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"21":{}}}],["measure=[rm",{"_index":2133,"t":{},"b":{"11":{}}}],["measure=cross_entropi",{"_index":1377,"t":{},"b":{"5":{},"6":{},"7":{}}}],["measure=cross_entropy)probabilistictunedmodel",{"_index":2409,"t":{},"b":{"15":{}}}],["measure=hingeloss())(parameter_nam",{"_index":1248,"t":{},"b":{"5":{}}}],["measure=misclassification_r",{"_index":2424,"t":{},"b":{"15":{},"23":{},"24":{}}}],["measure=rm",{"_index":1994,"t":{},"b":{"9":{},"10":{},"11":{},"14":{},"15":{},"22":{},"23":{}}}],["measure=rms)deterministictunedmodel",{"_index":3117,"t":{},"b":{"21":{}}}],["measure=rmsl)deterministictunedmodel",{"_index":1093,"t":{},"b":{"4":{}}}],["med",{"_index":111,"t":{},"b":{"0":{}}}],["median",{"_index":288,"t":{},"b":{"1":{},"11":{},"18":{}}}],["medium",{"_index":3330,"t":{},"b":{"23":{}}}],["medv",{"_index":192,"t":{},"b":{"1":{},"3":{},"19":{},"23":{}}}],["merge_purity_threshold",{"_index":2126,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["messi",{"_index":1448,"t":{},"b":{"6":{}}}],["method",{"_index":1807,"t":{},"b":{"7":{},"9":{},"10":{},"12":{},"14":{}}}],["metric",{"_index":955,"t":{},"b":{"4":{},"8":{},"10":{},"16":{},"20":{}}}],["metric_param",{"_index":1951,"t":{},"b":{"8":{}}}],["min",{"_index":286,"t":{},"b":{"1":{}}}],["min_child_weight",{"_index":1186,"t":{},"b":{"5":{}}}],["min_purity_increas",{"_index":2123,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_leaf",{"_index":2121,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["min_samples_split",{"_index":2122,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["minimum",{"_index":1365,"t":{},"b":{"5":{},"11":{}}}],["minkowski",{"_index":1950,"t":{},"b":{"8":{}}}],["misclassif",{"_index":1629,"t":{},"b":{"6":{},"7":{},"15":{},"20":{},"24":{}}}],["misclassification_r",{"_index":2428,"t":{},"b":{"15":{}}}],["misclassification_rate(i",{"_index":1633,"t":{},"b":{"6":{},"20":{}}}],["misclassification_rate(mode.(i",{"_index":1661,"t":{},"b":{"6":{}}}],["misclassification_rate(predict_mode(knn",{"_index":1809,"t":{},"b":{"7":{}}}],["misclassification_rate(predict_mode(multi",{"_index":1811,"t":{},"b":{"7":{}}}],["misclassification_rate(ypr",{"_index":3338,"t":{},"b":{"23":{},"24":{}}}],["miss",{"_index":120,"t":{},"b":{"0":{},"1":{},"2":{},"6":{},"7":{},"9":{},"10":{},"11":{},"16":{},"19":{},"22":{}}}],["missclassif",{"_index":1660,"t":{},"b":{"6":{}}}],["missing_outcom",{"_index":1553,"t":{},"b":{"6":{}}}],["missingstr",{"_index":639,"t":{},"b":{"2":{},"6":{}}}],["mitchel",{"_index":848,"t":{},"b":{"4":{}}}],["mix",{"_index":877,"t":{},"b":{"4":{}}}],["ml",{"_index":2476,"t":{},"b":{"16":{}}}],["mlj",{"_index":3,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["mlj.fit(m::compositemodel2",{"_index":2386,"t":{},"b":{"14":{}}}],["mlj.fit(model::knnridgeblend",{"_index":1017,"t":{},"b":{"4":{}}}],["mlj.jl",{"_index":2452,"t":{},"b":{"16":{}}}],["mlj.predict(clf",{"_index":2901,"t":{},"b":{"20":{}}}],["mlj.predict(dtc",{"_index":1669,"t":{},"b":{"6":{}}}],["mlj.predict(mtm",{"_index":1656,"t":{},"b":{"6":{}}}],["mlj.table(x",{"_index":3408,"t":{},"b":{"24":{}}}],["mljbase.numericrange{mljbase.bounded,int64,symbol}[numericrang",{"_index":2415,"t":{},"b":{"15":{}}}],["mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1110,"t":{},"b":{"4":{}}}],["mljlinearmodel",{"_index":1933,"t":{},"b":{"8":{},"19":{}}}],["mljmodel",{"_index":1918,"t":{},"b":{"8":{}}}],["mljmodelinterface.predict",{"_index":1109,"t":{},"b":{"4":{},"15":{},"21":{}}}],["mljmodels.jl",{"_index":1901,"t":{},"b":{"8":{}}}],["mljscientifictyp",{"_index":737,"t":{},"b":{"3":{}}}],["mljscientifictypes.jl",{"_index":730,"t":{},"b":{"3":{}}}],["mljtutori",{"_index":3428,"t":{"25":{}},"b":{}}],["mlm",{"_index":3040,"t":{},"b":{"21":{}}}],["mlogloss",{"_index":1220,"t":{},"b":{"5":{}}}],["mlogp",{"_index":652,"t":{},"b":{"2":{}}}],["mnc",{"_index":1817,"t":{},"b":{"7":{}}}],["mnpipe(std=standard",{"_index":1783,"t":{},"b":{"7":{}}}],["mode",{"_index":2231,"t":{},"b":{"12":{},"15":{},"20":{}}}],["mode(ŷ[1])ȳ[1",{"_index":2235,"t":{},"b":{"12":{}}}],["mode(ŷ[1",{"_index":2236,"t":{},"b":{"12":{}}}],["mode.(ŷ)2",{"_index":2947,"t":{},"b":{"20":{}}}],["model",{"_index":16,"t":{"8":{},"9":{},"10":{},"11":{},"15":{},"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["model.knn_model",{"_index":1023,"t":{},"b":{"4":{}}}],["model.knn_weight",{"_index":1026,"t":{},"b":{"4":{}}}],["model.ridge_model",{"_index":1021,"t":{},"b":{"4":{}}}],["modelbabi",{"_index":810,"t":{},"b":{"4":{}}}],["modeldata",{"_index":1880,"t":{},"b":{"8":{}}}],["modeliniti",{"_index":1445,"t":{},"b":{"6":{}}}],["modelknn",{"_index":803,"t":{},"b":{"4":{}}}],["modelmodel",{"_index":1878,"t":{},"b":{"8":{}}}],["modelnam",{"_index":2731,"t":{},"b":{"19":{}}}],["models(matching(x",{"_index":1904,"t":{},"b":{"8":{}}}],["modelsplit",{"_index":2192,"t":{},"b":{"12":{}}}],["modeltri",{"_index":1444,"t":{},"b":{"6":{}}}],["modeltun",{"_index":2396,"t":{},"b":{"15":{}}}],["modifi",{"_index":129,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["more",{"_index":505,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"8":{},"10":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{}}}],["move",{"_index":2467,"t":{},"b":{"16":{}}}],["mpg",{"_index":2645,"t":{},"b":{"18":{},"21":{}}}],["mpl",{"_index":518,"t":{},"b":{"1":{}}}],["mssubclass",{"_index":839,"t":{},"b":{"4":{}}}],["mstd",{"_index":2997,"t":{},"b":{"20":{}}}],["mtm",{"_index":1120,"t":{},"b":{"4":{},"5":{},"6":{},"21":{},"22":{},"23":{},"24":{}}}],["mtm.model.model.reg",{"_index":3243,"t":{},"b":{"22":{}}}],["mtm.model.rang",{"_index":3244,"t":{},"b":{"22":{}}}],["mtm.model.tun",{"_index":3287,"t":{},"b":{"22":{}}}],["much",{"_index":1408,"t":{},"b":{"5":{},"6":{},"7":{},"15":{},"20":{}}}],["mucous_membran",{"_index":1465,"t":{},"b":{"6":{}}}],["multi",{"_index":1797,"t":{},"b":{"7":{}}}],["multiclass",{"_index":722,"t":{},"b":{"3":{},"6":{},"7":{}}}],["multiclass{15",{"_index":846,"t":{},"b":{"4":{}}}],["multiclass{2",{"_index":3311,"t":{},"b":{"23":{}}}],["multiclass{25",{"_index":845,"t":{},"b":{"4":{}}}],["multiclass{3",{"_index":1882,"t":{},"b":{"8":{},"23":{}}}],["multinomi",{"_index":1776,"t":{},"b":{"7":{},"16":{}}}],["multinomialclassifi",{"_index":1603,"t":{},"b":{"6":{},"7":{},"8":{}}}],["multipl",{"_index":761,"t":{},"b":{"3":{},"10":{},"11":{},"18":{}}}],["multivari",{"_index":2742,"t":{},"b":{"19":{},"20":{}}}],["multivariatestat",{"_index":1914,"t":{},"b":{"8":{}}}],["murder",{"_index":2501,"t":{},"b":{"17":{}}}],["mutabl",{"_index":1009,"t":{},"b":{"4":{},"14":{}}}],["mutat",{"_index":276,"t":{},"b":{"1":{}}}],["mypipe(x",{"_index":1982,"t":{},"b":{"9":{}}}],["n",{"_index":1114,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["n(0",{"_index":2630,"t":{},"b":{"18":{}}}],["n=20",{"_index":2031,"t":{},"b":{"10":{}}}],["n_job",{"_index":1952,"t":{},"b":{"8":{}}}],["n_neighbor",{"_index":1947,"t":{},"b":{"8":{}}}],["n_subfeatur",{"_index":2124,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["naivebay",{"_index":1923,"t":{},"b":{"8":{}}}],["name",{"_index":176,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"12":{},"14":{},"18":{},"19":{},"22":{}}}],["namedtupl",{"_index":2944,"t":{},"b":{"20":{}}}],["names(auto)9",{"_index":2696,"t":{},"b":{"18":{}}}],["names(boston)14",{"_index":177,"t":{},"b":{"1":{}}}],["names(data)5",{"_index":2499,"t":{},"b":{"17":{}}}],["names(datac",{"_index":1565,"t":{},"b":{"6":{}}}],["names(hitt",{"_index":3158,"t":{},"b":{"22":{}}}],["names(smarket",{"_index":2826,"t":{},"b":{"20":{}}}],["names(smarket)size(smarket",{"_index":2824,"t":{},"b":{"20":{}}}],["names(w)6",{"_index":2556,"t":{},"b":{"17":{}}}],["nasogastric_reflux",{"_index":1471,"t":{},"b":{"6":{}}}],["nasogastric_reflux_ph",{"_index":1472,"t":{},"b":{"6":{}}}],["nasogastric_tub",{"_index":1470,"t":{},"b":{"6":{}}}],["natur",{"_index":1589,"t":{},"b":{"6":{}}}],["nb",{"_index":2141,"t":{},"b":{"11":{}}}],["ncol",{"_index":2700,"t":{},"b":{"18":{}}}],["ncol(auto",{"_index":2705,"t":{},"b":{"18":{}}}],["ncol(auto)size(auto",{"_index":2703,"t":{},"b":{"18":{}}}],["ncolumn",{"_index":2641,"t":{},"b":{"18":{}}}],["ndfit",{"_index":3218,"t":{},"b":{"22":{}}}],["ndsch",{"_index":650,"t":{},"b":{"2":{}}}],["ndssc",{"_index":651,"t":{},"b":{"2":{}}}],["nearest",{"_index":1943,"t":{},"b":{"8":{},"10":{},"20":{}}}],["nearestneighbor",{"_index":1926,"t":{},"b":{"8":{},"20":{}}}],["need",{"_index":93,"t":{},"b":{"0":{},"2":{},"3":{},"4":{},"6":{},"8":{},"11":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{}}}],["neg",{"_index":2881,"t":{},"b":{"20":{}}}],["neighbor",{"_index":2095,"t":{},"b":{"10":{},"20":{}}}],["neighborhood",{"_index":833,"t":{},"b":{"4":{}}}],["neighbour",{"_index":1944,"t":{},"b":{"8":{},"10":{}}}],["nest",{"_index":1044,"t":{},"b":{"4":{},"10":{},"11":{},"15":{}}}],["net",{"_index":3152,"t":{},"b":{"22":{}}}],["network",{"_index":25,"t":{"13":{},"14":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["networksourc",{"_index":2263,"t":{},"b":{"13":{}}}],["never",{"_index":732,"t":{},"b":{"3":{}}}],["new",{"_index":2382,"t":{},"b":{"14":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["newleagu",{"_index":3177,"t":{},"b":{"22":{}}}],["newleague_a",{"_index":3275,"t":{},"b":{"22":{}}}],["newleague_n",{"_index":3276,"t":{},"b":{"22":{}}}],["nfold",{"_index":1104,"t":{},"b":{"4":{},"21":{}}}],["nice",{"_index":1558,"t":{},"b":{"6":{},"10":{}}}],["nl1",{"_index":2981,"t":{},"b":{"20":{}}}],["nl2",{"_index":2984,"t":{},"b":{"20":{}}}],["nl2)#no",{"_index":2988,"t":{},"b":{"20":{}}}],["nmiss",{"_index":375,"t":{},"b":{"1":{}}}],["nmissing)19×2",{"_index":410,"t":{},"b":{"1":{}}}],["no_miss",{"_index":3180,"t":{},"b":{"22":{}}}],["node",{"_index":963,"t":{},"b":{"4":{},"13":{},"14":{}}}],["nodesmodifi",{"_index":2264,"t":{},"b":{"13":{}}}],["nominalrang",{"_index":3122,"t":{},"b":{"21":{}}}],["non",{"_index":1979,"t":{},"b":{"9":{}}}],["nonflavanoid",{"_index":1700,"t":{},"b":{"7":{}}}],["normal",{"_index":915,"t":{},"b":{"4":{},"20":{}}}],["normalize_typ",{"_index":1208,"t":{},"b":{"5":{}}}],["not(:crim",{"_index":279,"t":{},"b":{"1":{}}}],["not(:direct",{"_index":2860,"t":{},"b":{"20":{}}}],["not(:hospital_numb",{"_index":1540,"t":{},"b":{"6":{}}}],["not(:medv",{"_index":2741,"t":{},"b":{"19":{}}}],["not(:nox",{"_index":271,"t":{},"b":{"1":{}}}],["not(:stat",{"_index":2517,"t":{},"b":{"17":{}}}],["not([:sal",{"_index":3334,"t":{},"b":{"23":{}}}],["not([:year",{"_index":2896,"t":{},"b":{"20":{}}}],["not(unw",{"_index":1501,"t":{},"b":{"6":{}}}],["note",{"_index":502,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"23":{}}}],["notebook",{"_index":44,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["noth",{"_index":1098,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{}}}],["now",{"_index":107,"t":{},"b":{"0":{},"1":{},"4":{},"5":{},"6":{},"7":{},"10":{},"11":{},"12":{},"13":{},"14":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["nox",{"_index":183,"t":{},"b":{"1":{},"3":{},"19":{}}}],["nrow",{"_index":2640,"t":{},"b":{"18":{}}}],["nrow(auto",{"_index":2702,"t":{},"b":{"18":{}}}],["nrows(datac",{"_index":1568,"t":{},"b":{"6":{}}}],["num_round",{"_index":1179,"t":{},"b":{"5":{}}}],["number",{"_index":173,"t":{},"b":{"1":{},"2":{},"5":{},"6":{},"8":{},"10":{},"11":{},"18":{},"19":{},"20":{},"25":{}}}],["numer",{"_index":817,"t":{},"b":{"4":{},"9":{},"17":{}}}],["numericrang",{"_index":1076,"t":{},"b":{"4":{}}}],["nuniqu",{"_index":374,"t":{},"b":{"1":{}}}],["o",{"_index":1170,"t":{},"b":{"5":{}}}],["object",{"_index":167,"t":{},"b":{"1":{},"2":{},"5":{},"12":{},"14":{},"20":{}}}],["observ",{"_index":911,"t":{},"b":{"4":{},"6":{},"8":{}}}],["obtain",{"_index":2209,"t":{},"b":{"12":{},"21":{},"22":{}}}],["occur",{"_index":2893,"t":{},"b":{"20":{}}}],["od280/od315",{"_index":1705,"t":{},"b":{"7":{}}}],["offer",{"_index":283,"t":{},"b":{"1":{},"2":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{}}}],["oj",{"_index":2538,"t":{},"b":{"17":{}}}],["ok",{"_index":1514,"t":{},"b":{"6":{},"19":{},"22":{}}}],["old",{"_index":2267,"t":{},"b":{"13":{}}}],["on",{"_index":243,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"22":{},"23":{}}}],["onc",{"_index":2406,"t":{},"b":{"15":{}}}],["one_drop",{"_index":1211,"t":{},"b":{"5":{}}}],["onehotencod",{"_index":1000,"t":{},"b":{"4":{},"6":{},"9":{},"22":{},"23":{}}}],["ones(10",{"_index":3398,"t":{},"b":{"24":{}}}],["ones(10))20",{"_index":3399,"t":{},"b":{"24":{}}}],["onto",{"_index":1821,"t":{},"b":{"7":{}}}],["oper",{"_index":1108,"t":{},"b":{"4":{},"6":{},"13":{},"14":{},"15":{},"18":{},"19":{},"21":{}}}],["operation4",{"_index":2606,"t":{},"b":{"18":{}}}],["operation=predict_mod",{"_index":2422,"t":{},"b":{"15":{},"23":{}}}],["operations/transform",{"_index":2299,"t":{},"b":{"13":{}}}],["opt",{"_index":1802,"t":{},"b":{"7":{}}}],["optim",{"_index":1399,"t":{},"b":{"5":{},"15":{}}}],["option",{"_index":2241,"t":{},"b":{"12":{}}}],["orang",{"_index":2535,"t":{},"b":{"17":{}}}],["order",{"_index":87,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"8":{},"9":{},"14":{},"15":{},"16":{},"19":{},"20":{},"21":{}}}],["ordered=tru",{"_index":90,"t":{},"b":{"0":{}}}],["ordered_factor",{"_index":1650,"t":{},"b":{"6":{}}}],["orderedfactor",{"_index":723,"t":{},"b":{"3":{},"7":{},"8":{},"20":{}}}],["orderedfactor{10",{"_index":844,"t":{},"b":{"4":{}}}],["orderedfactor{2",{"_index":798,"t":{},"b":{"3":{},"6":{}}}],["orderedfactor{22",{"_index":1888,"t":{},"b":{"8":{}}}],["orderedfactor{24",{"_index":1526,"t":{},"b":{"6":{}}}],["orderedfactor{26",{"_index":796,"t":{},"b":{"3":{}}}],["orderedfactor{3",{"_index":1524,"t":{},"b":{"6":{}}}],["orderedfactor{4",{"_index":1522,"t":{},"b":{"6":{}}}],["orderedfactor{46",{"_index":800,"t":{},"b":{"3":{}}}],["orderedfactor{5",{"_index":1525,"t":{},"b":{"6":{}}}],["orderedfactor{6",{"_index":1523,"t":{},"b":{"6":{}}}],["orderedfactor{9",{"_index":799,"t":{},"b":{"3":{}}}],["origin",{"_index":485,"t":{},"b":{"1":{},"3":{},"15":{},"16":{},"18":{}}}],["otherwis",{"_index":1030,"t":{},"b":{"4":{},"7":{},"8":{},"12":{},"16":{},"20":{}}}],["ourselv",{"_index":646,"t":{},"b":{"2":{}}}],["out",{"_index":1627,"t":{},"b":{"6":{},"7":{},"11":{},"12":{},"14":{},"22":{}}}],["out_of_bag_measur",{"_index":2058,"t":{},"b":{"10":{},"11":{},"15":{}}}],["outcom",{"_index":892,"t":{},"b":{"4":{},"6":{}}}],["output",{"_index":912,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"20":{}}}],["outsid",{"_index":1937,"t":{},"b":{"8":{}}}],["over",{"_index":1057,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"10":{},"11":{},"21":{}}}],["overallqu",{"_index":831,"t":{},"b":{"4":{}}}],["overfit",{"_index":1171,"t":{},"b":{"5":{},"23":{}}}],["overview",{"_index":284,"t":{},"b":{"1":{}}}],["p",{"_index":1949,"t":{},"b":{"8":{},"11":{}}}],["packag",{"_index":558,"t":{},"b":{"2":{},"3":{},"7":{},"8":{},"10":{},"16":{},"18":{},"19":{},"20":{},"23":{}}}],["packed_cell_volum",{"_index":1475,"t":{},"b":{"6":{}}}],["page",{"_index":562,"t":{},"b":{"2":{},"16":{}}}],["pain",{"_index":1467,"t":{},"b":{"6":{}}}],["pair",{"_index":377,"t":{},"b":{"1":{},"3":{},"8":{},"10":{}}}],["pairwis",{"_index":2861,"t":{},"b":{"20":{}}}],["panda",{"_index":147,"t":{},"b":{"1":{}}}],["param",{"_index":1052,"t":{},"b":{"4":{},"15":{}}}],["paramet",{"_index":1016,"t":{},"b":{"4":{},"5":{},"7":{},"9":{},"10":{},"12":{},"13":{},"15":{},"19":{},"20":{},"22":{},"23":{}}}],["parameter_scal",{"_index":1249,"t":{},"b":{"5":{}}}],["parameter_valu",{"_index":1251,"t":{},"b":{"5":{}}}],["params(ensemble_model",{"_index":2055,"t":{},"b":{"10":{}}}],["params(forest",{"_index":2160,"t":{},"b":{"11":{},"15":{}}}],["params(krb",{"_index":1053,"t":{},"b":{"4":{}}}],["parent",{"_index":504,"t":{},"b":{"1":{}}}],["pars",{"_index":638,"t":{},"b":{"2":{}}}],["part",{"_index":568,"t":{},"b":{"2":{},"13":{},"20":{},"21":{}}}],["partial",{"_index":2484,"t":{},"b":{"16":{}}}],["particular",{"_index":582,"t":{},"b":{"2":{},"3":{}}}],["particularli",{"_index":157,"t":{},"b":{"1":{},"4":{}}}],["partit",{"_index":2208,"t":{},"b":{"12":{}}}],["partition(eachindex(i",{"_index":899,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"13":{},"14":{},"21":{},"22":{},"23":{}}}],["partition(eachindex(yc",{"_index":1789,"t":{},"b":{"7":{}}}],["pass",{"_index":359,"t":{},"b":{"1":{},"2":{},"6":{}}}],["path",{"_index":585,"t":{},"b":{"2":{},"19":{}}}],["pca",{"_index":1824,"t":{"17":{}},"b":{"7":{},"16":{},"17":{}}}],["pca'd",{"_index":2522,"t":{},"b":{"17":{}}}],["pca(maxoutdim=2",{"_index":1833,"t":{},"b":{"7":{}}}],["pca(pratio=1",{"_index":2520,"t":{},"b":{"17":{}}}],["pca(rows=train",{"_index":1834,"t":{},"b":{"7":{}}}],["pca_mdl",{"_index":2519,"t":{},"b":{"17":{}}}],["pcapipe(std=standard",{"_index":1828,"t":{},"b":{"7":{}}}],["pctdiscch",{"_index":2547,"t":{},"b":{"17":{}}}],["pctdiscmm",{"_index":2546,"t":{},"b":{"17":{}}}],["pdf.(edfit",{"_index":3197,"t":{},"b":{"22":{}}}],["pdf.(lfit",{"_index":3225,"t":{},"b":{"22":{}}}],["pdf.(ndfit",{"_index":3222,"t":{},"b":{"22":{}}}],["pdf_smooth",{"_index":2197,"t":{},"b":{"12":{},"15":{},"23":{}}}],["penalize_intercept",{"_index":1608,"t":{},"b":{"6":{},"7":{}}}],["penalti",{"_index":1605,"t":{},"b":{"6":{},"7":{},"22":{},"24":{}}}],["per",{"_index":387,"t":{},"b":{"1":{},"6":{}}}],["per_fold",{"_index":1996,"t":{},"b":{"9":{},"10":{},"11":{}}}],["per_observ",{"_index":1997,"t":{},"b":{"9":{},"10":{},"11":{}}}],["percent",{"_index":1641,"t":{},"b":{"6":{}}}],["percentil",{"_index":372,"t":{},"b":{"1":{}}}],["perf_k",{"_index":1867,"t":{},"b":{"7":{}}}],["perf_m",{"_index":1868,"t":{},"b":{"7":{}}}],["perfectli",{"_index":3340,"t":{},"b":{"23":{}}}],["perform",{"_index":932,"t":{},"b":{"4":{},"7":{},"11":{},"13":{},"21":{},"24":{}}}],["peripheral_puls",{"_index":1464,"t":{},"b":{"6":{}}}],["peristalsi",{"_index":1468,"t":{},"b":{"6":{}}}],["permut",{"_index":2610,"t":{},"b":{"18":{}}}],["permutedims(reshape([1",{"_index":2611,"t":{},"b":{"18":{}}}],["permutedims2×2",{"_index":2614,"t":{},"b":{"18":{}}}],["petalength",{"_index":513,"t":{},"b":{"1":{}}}],["petallength",{"_index":454,"t":{},"b":{"1":{},"8":{}}}],["petallength_mean",{"_index":510,"t":{},"b":{"1":{}}}],["petallength_std",{"_index":531,"t":{},"b":{"1":{}}}],["petalwidth",{"_index":455,"t":{},"b":{"1":{},"8":{}}}],["petalwidth_std",{"_index":532,"t":{},"b":{"1":{}}}],["pgfplot",{"_index":2718,"t":{},"b":{"18":{}}}],["pgfplotsx.jl",{"_index":2717,"t":{},"b":{"18":{}}}],["phenol",{"_index":1698,"t":{},"b":{"7":{}}}],["pipe",{"_index":1981,"t":{},"b":{"9":{},"22":{}}}],["pipe.hot.drop_last",{"_index":1989,"t":{},"b":{"9":{}}}],["pipe.knn.k",{"_index":1988,"t":{},"b":{"9":{}}}],["pipe.model.reg",{"_index":3230,"t":{},"b":{"22":{}}}],["pipelin",{"_index":1615,"t":{},"b":{"6":{},"7":{},"9":{},"13":{},"16":{},"17":{},"20":{},"21":{},"22":{},"23":{}}}],["pipelinebaselinebas",{"_index":3148,"t":{},"b":{"22":{}}}],["pipelineclusteringget",{"_index":2497,"t":{},"b":{"17":{}}}],["pipelineelast",{"_index":3151,"t":{},"b":{"22":{}}}],["pipelinegener",{"_index":1963,"t":{},"b":{"9":{}}}],["pipelineget",{"_index":3153,"t":{},"b":{"22":{}}}],["pipelinemor",{"_index":2495,"t":{},"b":{"17":{}}}],["pkg",{"_index":2461,"t":{},"b":{"16":{},"18":{},"19":{}}}],["pkg.activ",{"_index":2462,"t":{},"b":{"16":{}}}],["pkg.add(\"mljlinearmodel",{"_index":2735,"t":{},"b":{"19":{}}}],["pkg.add(\"statsbas",{"_index":2626,"t":{},"b":{"18":{}}}],["pkg.instanti",{"_index":2463,"t":{},"b":{"16":{}}}],["pkg=\"glm\"linearregressor",{"_index":1959,"t":{},"b":{"8":{}}}],["pkg=\"mljlinearmodel",{"_index":1780,"t":{},"b":{"7":{}}}],["pkg=\"mljlinearmodels\"multinomialclassifi",{"_index":1604,"t":{},"b":{"6":{}}}],["pkg=\"multivariatestat",{"_index":950,"t":{},"b":{"4":{}}}],["pkg=\"nearestneighbor",{"_index":1779,"t":{},"b":{"7":{}}}],["pkg=\"thepackag",{"_index":1957,"t":{},"b":{"8":{}}}],["pkg=cluster",{"_index":2573,"t":{},"b":{"17":{}}}],["pkg=decisiontre",{"_index":3300,"t":{},"b":{"23":{}}}],["pkg=libsvm",{"_index":3411,"t":{},"b":{"24":{}}}],["pkg=mljlinearmodel",{"_index":2895,"t":{},"b":{"20":{},"22":{}}}],["pkg=mljlinearmodelslinearregressor",{"_index":2733,"t":{},"b":{"19":{},"21":{}}}],["pkg=multivariatestat",{"_index":2268,"t":{},"b":{"13":{},"14":{},"17":{},"20":{}}}],["pkg=nearestneighbor",{"_index":2964,"t":{},"b":{"20":{}}}],["pkg=packagenam",{"_index":2732,"t":{},"b":{"19":{}}}],["pkg=scikitlearn",{"_index":3376,"t":{},"b":{"23":{}}}],["pkg=scikitlearnbayesianqda",{"_index":2957,"t":{},"b":{"20":{}}}],["place",{"_index":277,"t":{},"b":{"1":{}}}],["play",{"_index":2533,"t":{},"b":{"17":{}}}],["pleas",{"_index":2457,"t":{},"b":{"16":{}}}],["plot",{"_index":1384,"t":{},"b":{"5":{},"11":{},"15":{},"18":{}}}],["plot(1:length(c",{"_index":2570,"t":{},"b":{"17":{}}}],["plot(curve.parameter_valu",{"_index":1353,"t":{},"b":{"5":{}}}],["plot(curves.parameter_valu",{"_index":2151,"t":{},"b":{"11":{}}}],["plot(fpr",{"_index":3022,"t":{},"b":{"20":{}}}],["plot(i",{"_index":3185,"t":{},"b":{"22":{}}}],["plot(mpg",{"_index":2723,"t":{},"b":{"18":{}}}],["plot(res.parameter_valu",{"_index":2431,"t":{},"b":{"15":{}}}],["plot(w[m",{"_index":2591,"t":{},"b":{"17":{}}}],["plot(x.horsepow",{"_index":3034,"t":{},"b":{"21":{}}}],["plot(x.lstat",{"_index":2757,"t":{},"b":{"19":{}}}],["plot(x.volum",{"_index":2874,"t":{},"b":{"20":{}}}],["plot(x1[mask_1",{"_index":1844,"t":{},"b":{"7":{}}}],["plot(x1[mask_2",{"_index":1849,"t":{},"b":{"7":{}}}],["plot(x1[mask_3",{"_index":1852,"t":{},"b":{"7":{}}}],["plot(x[ym1",{"_index":3402,"t":{},"b":{"24":{}}}],["plot(x[ym2",{"_index":3404,"t":{},"b":{"24":{}}}],["plot(xnew.lstat",{"_index":2761,"t":{},"b":{"19":{}}}],["plot(xx",{"_index":3198,"t":{},"b":{"22":{}}}],["plot(xx.horsepow",{"_index":3050,"t":{},"b":{"21":{}}}],["plots.jl",{"_index":2708,"t":{},"b":{"18":{}}}],["plymouth",{"_index":2670,"t":{},"b":{"18":{}}}],["point",{"_index":705,"t":{},"b":{"3":{},"6":{},"7":{},"12":{},"13":{},"18":{},"19":{},"24":{}}}],["pointless",{"_index":1864,"t":{},"b":{"7":{}}}],["poli",{"_index":3066,"t":{},"b":{"21":{}}}],["polynomi",{"_index":3032,"t":{},"b":{"21":{}}}],["popul",{"_index":3307,"t":{},"b":{"23":{}}}],["posit",{"_index":2880,"t":{},"b":{"20":{}}}],["possibl",{"_index":715,"t":{},"b":{"3":{},"20":{}}}],["post",{"_index":1140,"t":{},"b":{"5":{}}}],["post_prun",{"_index":2125,"t":{},"b":{"11":{},"12":{},"15":{},"23":{}}}],["power",{"_index":578,"t":{},"b":{"2":{},"21":{}}}],["pprint(atom",{"_index":2056,"t":{},"b":{"10":{},"11":{},"15":{}}}],["pprint(knn_model",{"_index":1054,"t":{},"b":{"4":{}}}],["pprint(measur",{"_index":1995,"t":{},"b":{"9":{},"10":{},"11":{}}}],["pprint(tre",{"_index":2218,"t":{},"b":{"12":{}}}],["pprint[\"b",{"_index":1169,"t":{},"b":{"5":{}}}],["pprint[distributions.normal{float64}(μ=179454.34347399411",{"_index":908,"t":{},"b":{"4":{}}}],["pprint[univariatefinite(down=>0.521",{"_index":2940,"t":{},"b":{"20":{}}}],["pprintdict(\"b",{"_index":1226,"t":{},"b":{"5":{}}}],["pprintsize(hitt",{"_index":3159,"t":{},"b":{"22":{}}}],["pr",{"_index":2455,"t":{},"b":{"16":{}}}],["pre",{"_index":784,"t":{},"b":{"3":{},"6":{}}}],["precis",{"_index":1729,"t":{},"b":{"7":{},"20":{}}}],["precision(i",{"_index":2923,"t":{},"b":{"20":{}}}],["pred",{"_index":1039,"t":{},"b":{"4":{}}}],["predict",{"_index":18,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["predict(1…92",{"_index":984,"t":{},"b":{"4":{}}}],["predict(3…17",{"_index":2362,"t":{},"b":{"14":{}}}],["predict(5…71",{"_index":2329,"t":{},"b":{"13":{}}}],["predict(cmach",{"_index":905,"t":{},"b":{"4":{}}}],["predict(dtr",{"_index":3365,"t":{},"b":{"23":{}}}],["predict(knn",{"_index":981,"t":{},"b":{"4":{},"10":{}}}],["predict(lr1",{"_index":3094,"t":{},"b":{"21":{}}}],["predict(lr2",{"_index":3096,"t":{},"b":{"21":{}}}],["predict(lr3",{"_index":3098,"t":{},"b":{"21":{}}}],["predict(m",{"_index":2188,"t":{},"b":{"11":{}}}],["predict(mach",{"_index":1040,"t":{},"b":{"4":{},"19":{}}}],["predict(mach_uni",{"_index":2762,"t":{},"b":{"19":{}}}],["predict(machine(m.ridge_model",{"_index":2389,"t":{},"b":{"14":{}}}],["predict(mlm",{"_index":3049,"t":{},"b":{"21":{}}}],["predict(mtm",{"_index":1131,"t":{},"b":{"4":{},"21":{},"22":{},"23":{},"24":{}}}],["predict(pip",{"_index":3210,"t":{},"b":{"22":{}}}],["predict(rf",{"_index":3381,"t":{},"b":{"23":{}}}],["predict(ridg",{"_index":980,"t":{},"b":{"4":{},"13":{},"14":{}}}],["predict(svc",{"_index":3415,"t":{},"b":{"24":{}}}],["predict(tre",{"_index":2226,"t":{},"b":{"12":{}}}],["predict(tuned_ensembl",{"_index":2096,"t":{},"b":{"10":{}}}],["predict(xgb",{"_index":3390,"t":{},"b":{"23":{}}}],["predict_mean",{"_index":921,"t":{},"b":{"4":{}}}],["predict_mean(cmach",{"_index":924,"t":{},"b":{"4":{}}}],["predict_mod",{"_index":2232,"t":{},"b":{"12":{},"20":{}}}],["predict_mode(clf",{"_index":2910,"t":{},"b":{"20":{}}}],["predict_mode(mach",{"_index":1631,"t":{},"b":{"6":{},"23":{}}}],["predict_mode(mtm",{"_index":1435,"t":{},"b":{"5":{},"23":{}}}],["predict_mode(tre",{"_index":2233,"t":{},"b":{"12":{}}}],["predictor",{"_index":1205,"t":{},"b":{"5":{}}}],["preds)0.117305990205669",{"_index":1132,"t":{},"b":{"4":{}}}],["preds)0.12278602255214813",{"_index":1041,"t":{},"b":{"4":{}}}],["preliminari",{"_index":1998,"t":{},"b":{"10":{},"12":{},"13":{},"14":{}}}],["prelimsrandom",{"_index":2097,"t":{},"b":{"11":{}}}],["prepar",{"_index":2284,"t":{},"b":{"13":{},"22":{}}}],["preparationridg",{"_index":3147,"t":{},"b":{"22":{}}}],["present",{"_index":788,"t":{},"b":{"3":{},"10":{},"16":{}}}],["pretti",{"_index":1229,"t":{},"b":{"5":{},"7":{},"8":{},"13":{},"20":{},"22":{},"23":{}}}],["prettyprint",{"_index":822,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"12":{},"15":{},"20":{},"22":{},"23":{},"24":{}}}],["prettysize(x",{"_index":829,"t":{},"b":{"4":{},"5":{}}}],["previou",{"_index":2101,"t":{},"b":{"11":{},"14":{}}}],["price",{"_index":814,"t":{},"b":{"4":{},"17":{},"23":{}}}],["pricech",{"_index":2539,"t":{},"b":{"17":{}}}],["pricediff",{"_index":2545,"t":{},"b":{"17":{}}}],["pricemm",{"_index":2540,"t":{},"b":{"17":{}}}],["primari",{"_index":2489,"t":{},"b":{"16":{}}}],["primer",{"_index":2602,"t":{},"b":{"18":{}}}],["println",{"_index":1720,"t":{},"b":{"7":{},"19":{}}}],["println(\"#$(vals[1",{"_index":2986,"t":{},"b":{"20":{}}}],["println(\"#$(vals[2",{"_index":2987,"t":{},"b":{"20":{}}}],["println(rpad",{"_index":1719,"t":{},"b":{"7":{},"19":{}}}],["println(rpad(\"$nam",{"_index":1518,"t":{},"b":{"6":{},"7":{},"19":{}}}],["println(rpad(\"intercept",{"_index":2774,"t":{},"b":{"19":{}}}],["println(rpad(\"knn",{"_index":1812,"t":{},"b":{"7":{}}}],["println(rpad(\"mnc",{"_index":1634,"t":{},"b":{"6":{},"7":{}}}],["println(rpad(m.nam",{"_index":1906,"t":{},"b":{"8":{}}}],["println(rpad(nam",{"_index":1569,"t":{},"b":{"6":{}}}],["prior",{"_index":2949,"t":{},"b":{"20":{}}}],["proanthcyanin",{"_index":1701,"t":{},"b":{"7":{}}}],["probabilist",{"_index":913,"t":{},"b":{"4":{},"8":{},"12":{},"14":{},"15":{},"20":{}}}],["probabilisticsgdclassifi",{"_index":1934,"t":{},"b":{"8":{}}}],["probabl",{"_index":1534,"t":{},"b":{"6":{},"7":{},"16":{}}}],["problem",{"_index":876,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"20":{}}}],["procedur",{"_index":1420,"t":{},"b":{"5":{}}}],["process",{"_index":543,"t":{"2":{}},"b":{"2":{},"6":{},"7":{},"10":{},"16":{}}}],["process_typ",{"_index":1199,"t":{},"b":{"5":{}}}],["processingget",{"_index":1439,"t":{},"b":{"6":{},"7":{}}}],["produc",{"_index":2486,"t":{},"b":{"16":{}}}],["product",{"_index":2801,"t":{},"b":{"19":{}}}],["program",{"_index":2464,"t":{},"b":{"16":{}}}],["project",{"_index":1820,"t":{},"b":{"7":{}}}],["project.toml",{"_index":2458,"t":{},"b":{"16":{}}}],["prolin",{"_index":1707,"t":{},"b":{"7":{}}}],["proline=>continu",{"_index":1733,"t":{},"b":{"7":{}}}],["proline]5",{"_index":1723,"t":{},"b":{"7":{}}}],["prone",{"_index":3002,"t":{},"b":{"20":{}}}],["properli",{"_index":118,"t":{},"b":{"0":{}}}],["proport",{"_index":2950,"t":{},"b":{"20":{}}}],["provid",{"_index":559,"t":{},"b":{"2":{},"3":{},"16":{},"19":{}}}],["ptratio",{"_index":189,"t":{},"b":{"1":{},"3":{},"19":{}}}],["puls",{"_index":1461,"t":{},"b":{"6":{}}}],["purchas",{"_index":2976,"t":{},"b":{"20":{}}}],["putout",{"_index":3174,"t":{},"b":{"22":{}}}],["pyplot",{"_index":1143,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["pyplot.jl",{"_index":2715,"t":{},"b":{"18":{}}}],["q25",{"_index":367,"t":{},"b":{"1":{}}}],["q75",{"_index":368,"t":{},"b":{"1":{}}}],["qda",{"_index":2481,"t":{"20":{}},"b":{"16":{},"20":{}}}],["qualiti",{"_index":930,"t":{},"b":{"4":{}}}],["quantiti",{"_index":1683,"t":{},"b":{"7":{}}}],["quartil",{"_index":2113,"t":{},"b":{"11":{}}}],["quick",{"_index":1735,"t":{},"b":{"7":{},"16":{}}}],["quit",{"_index":1545,"t":{},"b":{"6":{},"7":{},"20":{},"21":{},"22":{}}}],["r",{"_index":566,"t":{},"b":{"2":{},"5":{},"10":{},"11":{},"15":{},"16":{},"17":{},"21":{},"22":{}}}],["r.best_result(measur",{"_index":2427,"t":{},"b":{"15":{}}}],["r.measur",{"_index":2085,"t":{},"b":{"10":{}}}],["r.plot",{"_index":1387,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["r.tvar)4",{"_index":2527,"t":{},"b":{"17":{}}}],["r.tvar)6",{"_index":2562,"t":{},"b":{"17":{}}}],["r1",{"_index":1368,"t":{},"b":{"5":{},"15":{}}}],["r2",{"_index":1370,"t":{},"b":{"5":{},"15":{}}}],["r3",{"_index":2836,"t":{},"b":{"20":{}}}],["r3(pi)3.14",{"_index":2838,"t":{},"b":{"20":{}}}],["r30.059",{"_index":3009,"t":{},"b":{"20":{}}}],["r30.479",{"_index":2911,"t":{},"b":{"20":{}}}],["r30.484",{"_index":2935,"t":{},"b":{"20":{}}}],["r30.5",{"_index":2968,"t":{},"b":{"20":{}}}],["r30.532",{"_index":2970,"t":{},"b":{"20":{}}}],["r30.548",{"_index":2955,"t":{},"b":{"20":{}}}],["r30.56",{"_index":2937,"t":{},"b":{"20":{}}}],["r30.599",{"_index":2963,"t":{},"b":{"20":{}}}],["r30.691",{"_index":2909,"t":{},"b":{"20":{}}}],["r30.925",{"_index":3007,"t":{},"b":{"20":{}}}],["r30.934",{"_index":3010,"t":{},"b":{"20":{}}}],["r31.0",{"_index":3001,"t":{},"b":{"20":{}}}],["r3false_positive(cm",{"_index":2926,"t":{},"b":{"20":{}}}],["r_bf",{"_index":2164,"t":{},"b":{"11":{}}}],["r_depth",{"_index":3368,"t":{},"b":{"23":{}}}],["r_mpi",{"_index":3346,"t":{},"b":{"23":{}}}],["r_msl",{"_index":3349,"t":{},"b":{"23":{}}}],["r_sf",{"_index":2161,"t":{},"b":{"11":{}}}],["rad",{"_index":187,"t":{},"b":{"1":{},"3":{},"19":{}}}],["rand(300",{"_index":2006,"t":{},"b":{"10":{},"13":{},"14":{}}}],["randn(100",{"_index":2442,"t":{},"b":{"15":{}}}],["randn(1_000",{"_index":2627,"t":{},"b":{"18":{}}}],["randn(20",{"_index":3397,"t":{},"b":{"24":{}}}],["random",{"_index":1142,"t":{},"b":{"5":{},"10":{},"11":{},"13":{},"14":{},"17":{},"23":{}}}],["random._global_rng",{"_index":1102,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["random.seed!(1515",{"_index":2548,"t":{},"b":{"17":{}}}],["random.seed!(3203",{"_index":3396,"t":{},"b":{"24":{}}}],["random.seed!(5",{"_index":2145,"t":{},"b":{"11":{},"13":{},"14":{}}}],["randomfals",{"_index":3394,"t":{},"b":{"24":{}}}],["randomforest",{"_index":3374,"t":{},"b":{"23":{}}}],["randomforestclassifi",{"_index":1935,"t":{},"b":{"8":{}}}],["randomforestregressor",{"_index":3375,"t":{},"b":{"23":{}}}],["rang",{"_index":255,"t":{},"b":{"1":{},"4":{},"10":{},"11":{},"15":{},"18":{},"21":{},"22":{}}}],["range(dtc",{"_index":2401,"t":{},"b":{"15":{}}}],["range(dtr_model",{"_index":3369,"t":{},"b":{"23":{}}}],["range(ensemble_model",{"_index":2061,"t":{},"b":{"10":{}}}],["range(forest",{"_index":2147,"t":{},"b":{"11":{},"15":{}}}],["range(krb",{"_index":1061,"t":{},"b":{"4":{}}}],["range(lrm",{"_index":3112,"t":{},"b":{"21":{}}}],["range(mdl",{"_index":3347,"t":{},"b":{"23":{}}}],["range(minimum(i",{"_index":3195,"t":{},"b":{"22":{}}}],["range(model",{"_index":1643,"t":{},"b":{"6":{},"22":{}}}],["range(svc_mdl",{"_index":3421,"t":{},"b":{"24":{}}}],["range(xgb",{"_index":1241,"t":{},"b":{"5":{}}}],["range=r",{"_index":1246,"t":{},"b":{"5":{},"11":{}}}],["ranges=[b_rang",{"_index":2074,"t":{},"b":{"10":{}}}],["ranges=[r",{"_index":2408,"t":{},"b":{"15":{}}}],["ranges=[r1",{"_index":2448,"t":{},"b":{"15":{}}}],["ranges=[r1,r2",{"_index":1376,"t":{},"b":{"5":{}}}],["ranges=[r_depth",{"_index":3371,"t":{},"b":{"23":{}}}],["ranges=[r_mpi",{"_index":3353,"t":{},"b":{"23":{}}}],["ranges=[r_sf",{"_index":2175,"t":{},"b":{"11":{}}}],["ranges=[rc",{"_index":3424,"t":{},"b":{"24":{}}}],["ranges=lambda",{"_index":1646,"t":{},"b":{"6":{}}}],["ranges=r",{"_index":2423,"t":{},"b":{"15":{},"21":{},"22":{}}}],["ranges=rang",{"_index":1092,"t":{},"b":{"4":{}}}],["rape",{"_index":2504,"t":{},"b":{"17":{}}}],["rate",{"_index":1536,"t":{},"b":{"6":{},"7":{},"15":{},"20":{}}}],["rate_drop",{"_index":1210,"t":{},"b":{"5":{}}}],["ratio_miss",{"_index":1566,"t":{},"b":{"6":{}}}],["raw",{"_index":45,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rbi",{"_index":3164,"t":{},"b":{"22":{}}}],["rc",{"_index":3420,"t":{},"b":{"24":{}}}],["rdataset",{"_index":165,"t":{},"b":{"1":{},"2":{},"3":{},"8":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rdatasets.jl",{"_index":554,"t":{},"b":{"2":{}}}],["rdatasetsus",{"_index":544,"t":{},"b":{"2":{}}}],["re",{"_index":114,"t":{},"b":{"0":{},"3":{},"5":{},"6":{},"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"19":{},"20":{},"21":{},"22":{}}}],["reach",{"_index":1663,"t":{},"b":{"6":{}}}],["read",{"_index":579,"t":{},"b":{"2":{},"6":{}}}],["real",{"_index":293,"t":{},"b":{"1":{},"15":{}}}],["realli",{"_index":1029,"t":{},"b":{"4":{},"23":{}}}],["reason",{"_index":1447,"t":{},"b":{"6":{},"22":{}}}],["recal",{"_index":2928,"t":{},"b":{"20":{}}}],["recall(i",{"_index":2924,"t":{},"b":{"20":{}}}],["recod",{"_index":3361,"t":{},"b":{"23":{}}}],["recommend",{"_index":2471,"t":{},"b":{"16":{},"20":{}}}],["recov",{"_index":919,"t":{},"b":{"4":{},"15":{},"17":{},"20":{}}}],["rectal_temperatur",{"_index":1460,"t":{},"b":{"6":{}}}],["red",{"_index":2588,"t":{},"b":{"17":{}}}],["reduc",{"_index":812,"t":{},"b":{"4":{}}}],["refer",{"_index":698,"t":{},"b":{"3":{},"13":{},"16":{}}}],["reflect",{"_index":1059,"t":{},"b":{"4":{}}}],["refresh_leaf",{"_index":1198,"t":{},"b":{"5":{}}}],["reg",{"_index":3206,"t":{},"b":{"22":{}}}],["reg.gamma",{"_index":3285,"t":{},"b":{"22":{}}}],["reg.lambda",{"_index":3233,"t":{},"b":{"22":{}}}],["reg_param",{"_index":2958,"t":{},"b":{"20":{}}}],["region",{"_index":1679,"t":{},"b":{"7":{}}}],["regpip",{"_index":3207,"t":{},"b":{"22":{}}}],["regpipe(std",{"_index":3205,"t":{},"b":{"22":{}}}],["regress",{"_index":875,"t":{"19":{},"20":{},"22":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["regressioninteract",{"_index":2724,"t":{},"b":{"19":{}}}],["regressionk",{"_index":3027,"t":{},"b":{"21":{}}}],["regressionldaqdaknncaravan",{"_index":2817,"t":{},"b":{"20":{}}}],["regressor",{"_index":940,"t":{},"b":{"4":{},"9":{},"11":{},"13":{},"15":{},"21":{},"22":{},"23":{}}}],["regressorrandom",{"_index":3297,"t":{},"b":{"23":{}}}],["regularis",{"_index":1653,"t":{},"b":{"6":{},"13":{},"20":{}}}],["reinterpret",{"_index":771,"t":{},"b":{"3":{}}}],["rel",{"_index":1511,"t":{},"b":{"6":{}}}],["relat",{"_index":728,"t":{},"b":{"3":{},"16":{}}}],["relev",{"_index":2004,"t":{},"b":{"10":{},"13":{},"16":{},"18":{},"19":{}}}],["remain",{"_index":1080,"t":{},"b":{"4":{},"7":{}}}],["rememb",{"_index":404,"t":{},"b":{"1":{},"4":{},"12":{},"13":{}}}],["remov",{"_index":1559,"t":{},"b":{"6":{},"16":{}}}],["rename!(x2",{"_index":2802,"t":{},"b":{"19":{}}}],["reorder",{"_index":958,"t":{},"b":{"4":{},"10":{}}}],["rep",{"_index":3127,"t":{},"b":{"21":{}}}],["rep.plot",{"_index":3128,"t":{},"b":{"21":{}}}],["repeat",{"_index":1113,"t":{},"b":{"4":{},"15":{},"21":{}}}],["report",{"_index":1383,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"15":{}}}],["report(m",{"_index":2180,"t":{},"b":{"11":{},"15":{}}}],["report(mtm",{"_index":1386,"t":{},"b":{"5":{},"21":{}}}],["report(pca",{"_index":2525,"t":{},"b":{"17":{}}}],["report(spca).reports[1",{"_index":2560,"t":{},"b":{"17":{}}}],["report(spca2).reports[1].assign",{"_index":2582,"t":{},"b":{"17":{}}}],["report(tuned_ensembl",{"_index":2084,"t":{},"b":{"10":{}}}],["repres",{"_index":76,"t":{},"b":{"0":{},"6":{}}}],["reproduc",{"_index":2077,"t":{},"b":{"10":{},"11":{},"13":{},"14":{},"16":{},"20":{},"21":{}}}],["req",{"_index":1687,"t":{},"b":{"7":{}}}],["req1",{"_index":1451,"t":{},"b":{"6":{}}}],["req2",{"_index":1456,"t":{},"b":{"6":{}}}],["requir",{"_index":388,"t":{},"b":{"1":{}}}],["res.measur",{"_index":1393,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["res.parameter_valu",{"_index":2087,"t":{},"b":{"10":{},"11":{},"15":{}}}],["res.parameter_values[:,1",{"_index":1389,"t":{},"b":{"5":{}}}],["res.parameter_values[:,2",{"_index":1391,"t":{},"b":{"5":{}}}],["resampl",{"_index":1086,"t":{},"b":{"4":{},"15":{},"21":{}}}],["resampling=cv",{"_index":1405,"t":{},"b":{"5":{},"10":{}}}],["resampling=cv(nfolds=10",{"_index":3116,"t":{},"b":{"21":{}}}],["resampling=cv(nfolds=3",{"_index":1245,"t":{},"b":{"5":{},"22":{},"24":{}}}],["resampling=cv(nfolds=5",{"_index":3354,"t":{},"b":{"23":{}}}],["resampling=cv(nfolds=6",{"_index":2173,"t":{},"b":{"11":{},"15":{}}}],["resampling=cv(rng=11",{"_index":1375,"t":{},"b":{"5":{}}}],["resampling=cv(rng=234",{"_index":1418,"t":{},"b":{"5":{}}}],["resampling=holdout",{"_index":1993,"t":{},"b":{"9":{}}}],["resampling=holdout(fraction_train=0.7",{"_index":2022,"t":{},"b":{"10":{}}}],["resampling=holdout(fraction_train=0.8",{"_index":2072,"t":{},"b":{"10":{},"11":{},"14":{}}}],["resampling=holdout(fraction_train=0.9",{"_index":1622,"t":{},"b":{"6":{},"7":{}}}],["resampling=resampl",{"_index":1091,"t":{},"b":{"4":{}}}],["reshape([1",{"_index":2609,"t":{},"b":{"18":{}}}],["reshape([1,2,3,4",{"_index":2613,"t":{},"b":{"18":{}}}],["residu",{"_index":2789,"t":{},"b":{"19":{},"22":{}}}],["resolut",{"_index":1099,"t":{},"b":{"4":{},"11":{},"15":{},"21":{}}}],["resolution=30",{"_index":1406,"t":{},"b":{"5":{}}}],["resolution=50",{"_index":1247,"t":{},"b":{"5":{}}}],["respect",{"_index":369,"t":{},"b":{"1":{},"4":{},"8":{},"21":{}}}],["respiratori",{"_index":1535,"t":{},"b":{"6":{}}}],["respiratory_r",{"_index":1462,"t":{},"b":{"6":{}}}],["rest",{"_index":1532,"t":{},"b":{"6":{},"15":{},"20":{}}}],["result",{"_index":517,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"12":{},"13":{},"18":{},"19":{},"21":{},"25":{}}}],["resultspreliminari",{"_index":2003,"t":{},"b":{"10":{}}}],["retrain",{"_index":2334,"t":{},"b":{"13":{},"20":{}}}],["retriev",{"_index":79,"t":{},"b":{"0":{},"4":{},"5":{},"18":{},"19":{},"20":{}}}],["return",{"_index":85,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"14":{}}}],["rf",{"_index":3378,"t":{},"b":{"23":{}}}],["rf_mdl",{"_index":3377,"t":{},"b":{"23":{}}}],["ridg",{"_index":804,"t":{"22":{}},"b":{"4":{},"13":{},"14":{},"16":{},"22":{}}}],["ridge=ridge_model",{"_index":2370,"t":{},"b":{"14":{}}}],["ridge_model",{"_index":1020,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ridge_model.lambda",{"_index":1067,"t":{},"b":{"4":{},"13":{}}}],["ridge_model::ridgeregressor",{"_index":1014,"t":{},"b":{"4":{},"14":{}}}],["ridgeclassifi",{"_index":2373,"t":{},"b":{"14":{}}}],["ridgecross",{"_index":3149,"t":{},"b":{"22":{}}}],["ridgeregressor",{"_index":949,"t":{},"b":{"4":{},"13":{},"14":{},"22":{}}}],["ridgeregressor(lambda=0.1",{"_index":2324,"t":{},"b":{"13":{},"14":{}}}],["ridgeregressor(lambda=2.5",{"_index":1002,"t":{},"b":{"4":{}}}],["right",{"_index":48,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["rm",{"_index":184,"t":{},"b":{"1":{},"3":{},"9":{},"10":{},"11":{},"13":{},"15":{},"19":{},"21":{}}}],["rms(i",{"_index":2019,"t":{},"b":{"10":{},"11":{}}}],["rms(predict(lr",{"_index":3079,"t":{},"b":{"21":{}}}],["rms(predict(mlm",{"_index":3043,"t":{},"b":{"21":{}}}],["rms(y[test",{"_index":2332,"t":{},"b":{"13":{}}}],["rmsl",{"_index":1107,"t":{},"b":{"4":{}}}],["rmsl(i",{"_index":933,"t":{},"b":{"4":{}}}],["rmsl(y[test",{"_index":997,"t":{},"b":{"4":{}}}],["rmslp1",{"_index":2134,"t":{},"b":{"11":{}}}],["rng",{"_index":1101,"t":{},"b":{"4":{},"10":{},"11":{},"15":{},"21":{}}}],["rng=111",{"_index":1791,"t":{},"b":{"7":{}}}],["rng=112",{"_index":3355,"t":{},"b":{"23":{}}}],["rng=1254",{"_index":3372,"t":{},"b":{"23":{}}}],["rng=32",{"_index":2174,"t":{},"b":{"11":{}}}],["rng=33",{"_index":3425,"t":{},"b":{"24":{}}}],["rng=333",{"_index":3344,"t":{},"b":{"23":{}}}],["rng=4141",{"_index":3237,"t":{},"b":{"22":{}}}],["rng=42",{"_index":2073,"t":{},"b":{"10":{}}}],["rng=424",{"_index":3184,"t":{},"b":{"22":{}}}],["rng=444",{"_index":3031,"t":{},"b":{"21":{}}}],["rng=52",{"_index":1175,"t":{},"b":{"5":{}}}],["rng=551",{"_index":3360,"t":{},"b":{"23":{}}}],["roc",{"_index":3011,"t":{},"b":{"20":{}}}],["roc(i",{"_index":3021,"t":{},"b":{"20":{}}}],["root",{"_index":2785,"t":{},"b":{"19":{},"21":{}}}],["rotation=45",{"_index":3281,"t":{},"b":{"22":{}}}],["rough",{"_index":1547,"t":{},"b":{"6":{},"11":{},"18":{}}}],["round",{"_index":1238,"t":{},"b":{"5":{},"11":{}}}],["round(accuracy(i",{"_index":1436,"t":{},"b":{"5":{}}}],["round(best_mdl.reg.gamma",{"_index":3290,"t":{},"b":{"22":{}}}],["round(best_mdl.reg.lambda",{"_index":3239,"t":{},"b":{"22":{}}}],["round(fp.coefs[i",{"_index":2773,"t":{},"b":{"19":{}}}],["round(fp.intercept",{"_index":2753,"t":{},"b":{"19":{}}}],["round(maximum(curve.measur",{"_index":1411,"t":{},"b":{"5":{}}}],["round(mc",{"_index":2239,"t":{},"b":{"12":{}}}],["round(mcr",{"_index":1635,"t":{},"b":{"6":{}}}],["round(mcr_k",{"_index":1813,"t":{},"b":{"7":{}}}],["round(mcr_m",{"_index":1814,"t":{},"b":{"7":{}}}],["round(minimum(curve.measur",{"_index":1409,"t":{},"b":{"5":{}}}],["round(perf_k",{"_index":1869,"t":{},"b":{"7":{}}}],["round(perf_m",{"_index":1870,"t":{},"b":{"7":{}}}],["round(ratio_miss",{"_index":1570,"t":{},"b":{"6":{}}}],["round(res.measurement[1",{"_index":1623,"t":{},"b":{"6":{},"7":{},"14":{}}}],["round(rms(i",{"_index":2787,"t":{},"b":{"19":{},"22":{}}}],["round(rms(ypr",{"_index":3366,"t":{},"b":{"23":{}}}],["round(x",{"_index":2837,"t":{},"b":{"20":{}}}],["round.(cm",{"_index":2864,"t":{},"b":{"20":{}}}],["round.(coef",{"_index":3251,"t":{},"b":{"22":{}}}],["round.(fp.coef",{"_index":2752,"t":{},"b":{"19":{}}}],["round.(fp.coefs[1:3",{"_index":2765,"t":{},"b":{"19":{}}}],["round.(res.measurements.^2",{"_index":3129,"t":{},"b":{"21":{}}}],["round.(w",{"_index":2250,"t":{},"b":{"12":{}}}],["row",{"_index":196,"t":{},"b":{"1":{},"2":{},"6":{},"7":{},"12":{},"13":{},"17":{},"18":{},"19":{},"20":{}}}],["rows/column",{"_index":256,"t":{},"b":{"1":{}}}],["rows=test",{"_index":906,"t":{},"b":{"4":{},"5":{},"10":{},"12":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train",{"_index":904,"t":{},"b":{"4":{},"10":{},"13":{},"20":{},"21":{},"22":{},"23":{}}}],["rows=train)machine{decisiontreeclassifi",{"_index":2215,"t":{},"b":{"12":{}}}],["rows=train)machine{linmod",{"_index":3076,"t":{},"b":{"21":{}}}],["rows=train)machine{probabilistictunedmodel",{"_index":1378,"t":{},"b":{"5":{}}}],["rule",{"_index":781,"t":{},"b":{"3":{},"6":{}}}],["rules=(:discrete_to_continu",{"_index":1543,"t":{},"b":{"6":{},"22":{},"23":{}}}],["run",{"_index":471,"t":{},"b":{"1":{},"22":{}}}],["rw",{"_index":1150,"t":{},"b":{"5":{}}}],["s1",{"_index":773,"t":{},"b":{"3":{}}}],["s2",{"_index":774,"t":{},"b":{"3":{}}}],["sake",{"_index":1628,"t":{},"b":{"6":{}}}],["salari",{"_index":3176,"t":{},"b":{"22":{}}}],["sale",{"_index":3303,"t":{},"b":{"23":{}}}],["salepricech",{"_index":2544,"t":{},"b":{"17":{}}}],["salepricemm",{"_index":2543,"t":{},"b":{"17":{}}}],["same",{"_index":917,"t":{},"b":{"4":{},"5":{},"7":{},"8":{},"10":{},"15":{},"18":{},"20":{},"22":{},"23":{}}}],["sampl",{"_index":1426,"t":{},"b":{"5":{},"11":{},"15":{}}}],["sample_typ",{"_index":1207,"t":{},"b":{"5":{}}}],["satellit",{"_index":2671,"t":{},"b":{"18":{}}}],["save",{"_index":51,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["scale",{"_index":2065,"t":{},"b":{"10":{},"15":{}}}],["scale=:log10",{"_index":1065,"t":{},"b":{"4":{},"6":{},"22":{}}}],["scale_pos_weight",{"_index":1196,"t":{},"b":{"5":{}}}],["sch",{"_index":738,"t":{},"b":{"3":{},"6":{},"7":{},"11":{}}}],["sch.nrow",{"_index":2106,"t":{},"b":{"11":{}}}],["sch.scityp",{"_index":1517,"t":{},"b":{"6":{},"7":{}}}],["schema",{"_index":736,"t":{},"b":{"3":{}}}],["schema(boston)_.t",{"_index":739,"t":{},"b":{"3":{}}}],["schema(boston3)_.t",{"_index":794,"t":{},"b":{"3":{}}}],["schema(data)_.t",{"_index":775,"t":{},"b":{"3":{}}}],["schema(data2)_.t",{"_index":778,"t":{},"b":{"3":{}}}],["schema(datac",{"_index":1515,"t":{},"b":{"6":{}}}],["schema(w).names(:x1",{"_index":2523,"t":{},"b":{"17":{}}}],["schema(x",{"_index":1718,"t":{},"b":{"7":{},"11":{}}}],["scienc",{"_index":2488,"t":{},"b":{"16":{}}}],["scientif",{"_index":11,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["scientifictyp",{"_index":1509,"t":{},"b":{"6":{}}}],["scientifictypes.jl",{"_index":716,"t":{},"b":{"3":{},"6":{}}}],["scikitlearn",{"_index":1909,"t":{},"b":{"8":{},"19":{},"20":{}}}],["scikitlearn.jl",{"_index":1956,"t":{},"b":{"8":{}}}],["scityp",{"_index":700,"t":{},"b":{"3":{},"6":{},"7":{}}}],["scitype(",{"_index":753,"t":{},"b":{"3":{}}}],["scitype(x)table{union{abstractarray{continuous,1",{"_index":1716,"t":{},"b":{"7":{},"23":{}}}],["scitype(x.age)abstractarray{count,1",{"_index":1975,"t":{},"b":{"9":{}}}],["scitype(xc)table{union{abstractarray{continuous,1",{"_index":3202,"t":{},"b":{"22":{}}}],["scitype(y)abstractarray{count,1",{"_index":1712,"t":{},"b":{"7":{}}}],["scitype(y)y[1:3",{"_index":870,"t":{},"b":{"4":{}}}],["scitypechang",{"_index":684,"t":{},"b":{"3":{}}}],["scitypestr",{"_index":685,"t":{},"b":{"3":{}}}],["score",{"_index":1863,"t":{},"b":{"7":{},"12":{},"20":{}}}],["scratch",{"_index":2379,"t":{},"b":{"14":{}}}],["scratchpreliminari",{"_index":2351,"t":{},"b":{"14":{}}}],["script",{"_index":46,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["search",{"_index":1897,"t":{"25":{}},"b":{"8":{},"11":{},"15":{},"25":{}}}],["searchload",{"_index":1879,"t":{},"b":{"8":{}}}],["second",{"_index":977,"t":{},"b":{"4":{},"8":{},"12":{},"13":{},"14":{},"17":{},"20":{},"21":{}}}],["section",{"_index":2739,"t":{},"b":{"19":{}}}],["see",{"_index":96,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["seed",{"_index":1221,"t":{},"b":{"5":{},"10":{},"21":{}}}],["seem",{"_index":1773,"t":{},"b":{"7":{},"11":{},"16":{},"17":{},"20":{},"22":{}}}],["seen",{"_index":2292,"t":{},"b":{"13":{}}}],["select",{"_index":261,"t":{},"b":{"1":{},"10":{},"21":{},"22":{}}}],["select!(b1",{"_index":278,"t":{},"b":{"1":{}}}],["select!(data",{"_index":1500,"t":{},"b":{"6":{}}}],["select!(datac",{"_index":1539,"t":{},"b":{"6":{}}}],["select(boston",{"_index":266,"t":{},"b":{"1":{},"3":{}}}],["select(carseat",{"_index":3333,"t":{},"b":{"23":{}}}],["select(data",{"_index":2516,"t":{},"b":{"17":{},"19":{}}}],["select(smarket",{"_index":2859,"t":{},"b":{"20":{}}}],["select(x",{"_index":2746,"t":{},"b":{"19":{},"20":{},"21":{}}}],["select(x2",{"_index":2936,"t":{},"b":{"20":{}}}],["selectrows(xc",{"_index":1792,"t":{},"b":{"7":{}}}],["selectrows(yc",{"_index":1794,"t":{},"b":{"7":{}}}],["self",{"_index":365,"t":{},"b":{"1":{}}}],["sens",{"_index":1008,"t":{},"b":{"4":{},"5":{}}}],["sensibl",{"_index":1600,"t":{},"b":{"6":{},"7":{}}}],["sepallength",{"_index":452,"t":{},"b":{"1":{},"8":{}}}],["sepallength_std",{"_index":529,"t":{},"b":{"1":{}}}],["sepalwidth",{"_index":453,"t":{},"b":{"1":{},"8":{}}}],["sepalwidth_std",{"_index":530,"t":{},"b":{"1":{}}}],["separ",{"_index":642,"t":{},"b":{"2":{},"6":{},"7":{}}}],["sequenc",{"_index":2367,"t":{},"b":{"14":{},"16":{}}}],["seri",{"_index":3105,"t":{},"b":{"21":{}}}],["serv",{"_index":2200,"t":{},"b":{"12":{},"19":{}}}],["set",{"_index":576,"t":{},"b":{"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"17":{},"19":{},"21":{}}}],["setdiff!(test",{"_index":1563,"t":{},"b":{"6":{}}}],["setdiff!(train",{"_index":1561,"t":{},"b":{"6":{}}}],["setosa",{"_index":461,"t":{},"b":{"1":{},"8":{},"12":{}}}],["sever",{"_index":479,"t":{},"b":{"1":{},"8":{},"11":{},"19":{}}}],["shelveloc",{"_index":3308,"t":{},"b":{"23":{}}}],["short",{"_index":549,"t":{},"b":{"2":{},"5":{},"11":{},"16":{}}}],["shorten",{"_index":1775,"t":{},"b":{"7":{}}}],["shorter",{"_index":446,"t":{},"b":{"1":{},"13":{}}}],["shorthand",{"_index":1893,"t":{},"b":{"8":{}}}],["shot",{"_index":762,"t":{},"b":{"3":{}}}],["show",{"_index":826,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"11":{},"12":{},"14":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["showcas",{"_index":1591,"t":{},"b":{"6":{}}}],["shuffl",{"_index":1100,"t":{},"b":{"4":{},"15":{},"21":{}}}],["shuffle=tru",{"_index":901,"t":{},"b":{"4":{},"5":{},"7":{},"12":{},"21":{},"22":{},"23":{}}}],["sigdigit",{"_index":1413,"t":{},"b":{"5":{},"19":{},"22":{}}}],["sigdigits=1)8×8",{"_index":2865,"t":{},"b":{"20":{}}}],["sigdigits=2)22",{"_index":3252,"t":{},"b":{"22":{}}}],["sigdigits=3",{"_index":1410,"t":{},"b":{"5":{},"6":{},"7":{},"19":{},"20":{}}}],["sigdigits=3))knn",{"_index":1815,"t":{},"b":{"7":{}}}],["sigdigits=3))mnc",{"_index":1636,"t":{},"b":{"6":{}}}],["sigdigits=3)0.0141",{"_index":1806,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0159",{"_index":1804,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0179",{"_index":2378,"t":{},"b":{"14":{}}}],["sigdigits=3)0.704",{"_index":1624,"t":{},"b":{"6":{}}}],["sigdigits=3)3.74",{"_index":3382,"t":{},"b":{"23":{}}}],["sigdigits=3)3.96",{"_index":3391,"t":{},"b":{"23":{}}}],["sigdigits=3)4.98",{"_index":3367,"t":{},"b":{"23":{}}}],["sigdigits=3)5.09",{"_index":3373,"t":{},"b":{"23":{}}}],["sigdigits=3)round(minimum(curve.measur",{"_index":1412,"t":{},"b":{"5":{}}}],["sigdigits=3)round.(fp.coef",{"_index":2754,"t":{},"b":{"19":{}}}],["sigdigits=3)round.(fp.coefs[1:3",{"_index":2766,"t":{},"b":{"19":{}}}],["sigdigits=4",{"_index":3289,"t":{},"b":{"22":{}}}],["sigdigits=4)10.0",{"_index":3240,"t":{},"b":{"22":{}}}],["sigdigits=4)102500.0",{"_index":3293,"t":{},"b":{"22":{}}}],["sigdigits=4)109600.0",{"_index":3231,"t":{},"b":{"22":{}}}],["sigdigits=4)123500.0",{"_index":3211,"t":{},"b":{"22":{}}}],["sigdigits=4)4.676",{"_index":2804,"t":{},"b":{"19":{}}}],["sigdigits=4)4.679",{"_index":2788,"t":{},"b":{"19":{}}}],["sigdigits=4)5.507",{"_index":2810,"t":{},"b":{"19":{}}}],["sigdigits=4)858.6",{"_index":3246,"t":{},"b":{"22":{}}}],["sigdigits=4)93850.0",{"_index":3241,"t":{},"b":{"22":{}}}],["sigdigits=4)95450.0",{"_index":3247,"t":{},"b":{"22":{}}}],["sigdigits=4)round(best_mdl.reg.lambda",{"_index":3291,"t":{},"b":{"22":{}}}],["signific",{"_index":2834,"t":{},"b":{"20":{}}}],["significantli",{"_index":1673,"t":{},"b":{"6":{}}}],["similar",{"_index":2763,"t":{},"b":{"19":{},"20":{}}}],["similarli",{"_index":259,"t":{},"b":{"1":{}}}],["simpl",{"_index":164,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"13":{},"14":{},"15":{},"16":{},"18":{},"19":{},"20":{},"21":{},"22":{}}}],["simplepip",{"_index":1642,"t":{},"b":{"6":{}}}],["simplepipe(hot",{"_index":1617,"t":{},"b":{"6":{}}}],["simpler",{"_index":2354,"t":{},"b":{"14":{}}}],["simpli",{"_index":2301,"t":{},"b":{"13":{}}}],["simplifi",{"_index":1495,"t":{},"b":{"6":{}}}],["simultan",{"_index":2051,"t":{},"b":{"10":{},"11":{}}}],["singl",{"_index":2128,"t":{},"b":{"11":{},"15":{},"19":{}}}],["six",{"_index":816,"t":{},"b":{"4":{}}}],["size",{"_index":2639,"t":{},"b":{"18":{}}}],["size(auto",{"_index":2701,"t":{},"b":{"18":{}}}],["size(caravan)(5822",{"_index":2974,"t":{},"b":{"20":{}}}],["size(data_test",{"_index":1494,"t":{},"b":{"6":{}}}],["size(data_test)size(data_train",{"_index":1491,"t":{},"b":{"6":{}}}],["size(data_train",{"_index":1490,"t":{},"b":{"6":{}}}],["size(hitt",{"_index":3157,"t":{},"b":{"22":{}}}],["size(smarket",{"_index":2823,"t":{},"b":{"20":{}}}],["size(x",{"_index":827,"t":{},"b":{"4":{},"5":{}}}],["size(x)(3",{"_index":2642,"t":{},"b":{"18":{}}}],["sketch_ep",{"_index":1194,"t":{},"b":{"5":{}}}],["skew",{"_index":3188,"t":{},"b":{"22":{}}}],["skip",{"_index":634,"t":{},"b":{"2":{}}}],["skip_drop",{"_index":1212,"t":{},"b":{"5":{}}}],["skipmiss",{"_index":440,"t":{},"b":{"1":{}}}],["skipto",{"_index":633,"t":{},"b":{"2":{}}}],["skylark",{"_index":2664,"t":{},"b":{"18":{}}}],["slightli",{"_index":2805,"t":{},"b":{"19":{}}}],["slow",{"_index":573,"t":{},"b":{"2":{}}}],["sm1_dz",{"_index":648,"t":{},"b":{"2":{}}}],["small",{"_index":1433,"t":{},"b":{"5":{}}}],["smarket",{"_index":2822,"t":{},"b":{"20":{}}}],["smarket.direct",{"_index":2858,"t":{},"b":{"20":{}}}],["solver",{"_index":1609,"t":{},"b":{"6":{},"7":{},"19":{},"21":{}}}],["someth",{"_index":938,"t":{},"b":{"4":{},"5":{},"6":{}}}],["sometim",{"_index":2615,"t":{},"b":{"18":{}}}],["sophist",{"_index":1173,"t":{},"b":{"5":{},"6":{}}}],["sourc",{"_index":962,"t":{},"b":{"4":{},"13":{}}}],["source(i",{"_index":967,"t":{},"b":{"4":{},"13":{},"14":{}}}],["source(x",{"_index":965,"t":{},"b":{"4":{},"13":{},"14":{}}}],["space",{"_index":1823,"t":{},"b":{"7":{},"20":{}}}],["spars",{"_index":3248,"t":{},"b":{"22":{}}}],["sparsiti",{"_index":3265,"t":{},"b":{"22":{}}}],["spca",{"_index":2552,"t":{},"b":{"17":{}}}],["spca(std",{"_index":2549,"t":{},"b":{"17":{}}}],["spca2",{"_index":2578,"t":{},"b":{"17":{}}}],["spca2(std",{"_index":2574,"t":{},"b":{"17":{}}}],["spca2_mdl",{"_index":2577,"t":{},"b":{"17":{}}}],["spca_mdl",{"_index":2551,"t":{},"b":{"17":{}}}],["speci",{"_index":456,"t":{},"b":{"1":{},"8":{}}}],["specif",{"_index":472,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"13":{},"16":{}}}],["specifi",{"_index":89,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"8":{},"9":{},"10":{},"12":{},"13":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{}}}],["speciy",{"_index":2310,"t":{},"b":{"13":{}}}],["spectacular",{"_index":2806,"t":{},"b":{"19":{}}}],["speed",{"_index":709,"t":{},"b":{"3":{}}}],["spl",{"_index":519,"t":{},"b":{"1":{}}}],["split",{"_index":444,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"11":{},"12":{},"13":{},"18":{},"20":{}}}],["sqrt(x",{"_index":2620,"t":{},"b":{"18":{}}}],["sqrt(x)x",{"_index":2619,"t":{},"b":{"18":{}}}],["sqrt.([4",{"_index":2622,"t":{},"b":{"18":{}}}],["squar",{"_index":2786,"t":{},"b":{"19":{},"21":{}}}],["ss",{"_index":1422,"t":{},"b":{"5":{}}}],["stand",{"_index":2244,"t":{},"b":{"12":{},"13":{},"14":{}}}],["stand_model",{"_index":2243,"t":{},"b":{"12":{}}}],["standard",{"_index":552,"t":{},"b":{"2":{},"4":{},"7":{},"9":{},"12":{},"13":{},"14":{},"16":{},"17":{},"18":{},"20":{},"22":{}}}],["standardis",{"_index":1768,"t":{},"b":{"7":{}}}],["start",{"_index":14,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["startedbas",{"_index":3392,"t":{},"b":{"24":{}}}],["starteddata",{"_index":3146,"t":{},"b":{"22":{}}}],["starteddecis",{"_index":3294,"t":{},"b":{"23":{}}}],["startedpca",{"_index":2494,"t":{},"b":{"17":{}}}],["startedpolynomi",{"_index":3026,"t":{},"b":{"21":{}}}],["stat",{"_index":27,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["state",{"_index":2500,"t":{},"b":{"17":{}}}],["statist",{"_index":361,"t":{},"b":{"1":{},"4":{},"10":{},"12":{},"16":{},"18":{},"20":{}}}],["statsbas",{"_index":282,"t":{},"b":{"1":{},"5":{},"6":{},"7":{},"18":{},"20":{}}}],["statsbase.countmap",{"_index":1224,"t":{},"b":{"5":{}}}],["statsbases.jl",{"_index":2707,"t":{},"b":{"18":{}}}],["std",{"_index":291,"t":{},"b":{"1":{},"7":{},"17":{},"18":{},"19":{},"20":{}}}],["std(mao.age)miss",{"_index":439,"t":{},"b":{"1":{}}}],["std(skipmissing(mao.age))11.551715894987558",{"_index":443,"t":{},"b":{"1":{}}}],["std(w",{"_index":2257,"t":{},"b":{"12":{}}}],["std(w)round.(w",{"_index":2253,"t":{},"b":{"12":{}}}],["std(x",{"_index":2632,"t":{},"b":{"18":{}}}],["std)13×3",{"_index":1740,"t":{},"b":{"7":{}}}],["std)14×6",{"_index":289,"t":{},"b":{"1":{}}}],["std)3×3",{"_index":520,"t":{},"b":{"1":{}}}],["std)3×5",{"_index":528,"t":{},"b":{"1":{}}}],["std)5×3",{"_index":2506,"t":{},"b":{"17":{}}}],["std)9×4",{"_index":2673,"t":{},"b":{"18":{}}}],["std_model",{"_index":2357,"t":{},"b":{"14":{}}}],["std_model::standard",{"_index":2384,"t":{},"b":{"14":{}}}],["stem(coef",{"_index":3268,"t":{},"b":{"22":{}}}],["stem(r",{"_index":2790,"t":{},"b":{"19":{},"22":{}}}],["step",{"_index":811,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{}}}],["stepsdatamlj",{"_index":2189,"t":{},"b":{"12":{}}}],["stepsdefin",{"_index":2262,"t":{},"b":{"13":{}}}],["stepsdummi",{"_index":802,"t":{},"b":{"4":{}}}],["stepshomogen",{"_index":1999,"t":{},"b":{"10":{}}}],["stepsus",{"_index":2348,"t":{},"b":{"14":{}}}],["stepsxgboost",{"_index":1134,"t":{},"b":{"5":{}}}],["steroid",{"_index":2293,"t":{},"b":{"13":{}}}],["stick",{"_index":3003,"t":{},"b":{"20":{}}}],["still",{"_index":1231,"t":{},"b":{"5":{},"6":{},"10":{}}}],["stock",{"_index":2814,"t":{},"b":{"20":{}}}],["store",{"_index":890,"t":{},"b":{"4":{},"8":{}}}],["store_covari",{"_index":2959,"t":{},"b":{"20":{}}}],["strategi",{"_index":2397,"t":{},"b":{"15":{}}}],["string",{"_index":607,"t":{},"b":{"2":{},"3":{},"18":{}}}],["string_to_multiclass",{"_index":792,"t":{},"b":{"3":{}}}],["struct",{"_index":1010,"t":{},"b":{"4":{},"8":{},"14":{}}}],["structur",{"_index":1058,"t":{},"b":{"4":{}}}],["sub",{"_index":263,"t":{},"b":{"1":{},"11":{},"15":{}}}],["subdatafram",{"_index":503,"t":{},"b":{"1":{}}}],["subdf_setosa",{"_index":486,"t":{},"b":{"1":{}}}],["subfeatur",{"_index":2137,"t":{},"b":{"11":{}}}],["subsampl",{"_index":1188,"t":{},"b":{"5":{}}}],["subselect",{"_index":406,"t":{},"b":{"1":{}}}],["subsequ",{"_index":2355,"t":{},"b":{"14":{}}}],["subspacelda",{"_index":1936,"t":{},"b":{"8":{}}}],["such",{"_index":564,"t":{},"b":{"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"16":{},"20":{}}}],["suggest",{"_index":789,"t":{},"b":{"3":{},"6":{}}}],["sum",{"_index":1003,"t":{},"b":{"4":{}}}],["sum(abs.(vv",{"_index":2260,"t":{},"b":{"12":{}}}],["sum(abs.(x",{"_index":380,"t":{},"b":{"1":{}}}],["sum(coef",{"_index":3266,"t":{},"b":{"22":{}}}],["sum(ismissing.(col",{"_index":1567,"t":{},"b":{"6":{}}}],["sum(purchas",{"_index":2982,"t":{},"b":{"20":{}}}],["summari",{"_index":2108,"t":{},"b":{"11":{}}}],["supervis",{"_index":2191,"t":{},"b":{"12":{},"13":{}}}],["support",{"_index":1902,"t":{"24":{}},"b":{"8":{},"10":{},"13":{},"16":{},"18":{},"21":{},"24":{}}}],["sure",{"_index":3232,"t":{},"b":{"22":{}}}],["surgeri",{"_index":1458,"t":{},"b":{"6":{}}}],["surgical_les",{"_index":1479,"t":{},"b":{"6":{}}}],["svc",{"_index":3410,"t":{},"b":{"24":{}}}],["svc_mdl",{"_index":3412,"t":{},"b":{"24":{}}}],["svm",{"_index":2483,"t":{},"b":{"16":{},"24":{}}}],["swap",{"_index":3229,"t":{},"b":{"22":{}}}],["symbol",{"_index":292,"t":{},"b":{"1":{},"6":{},"7":{},"15":{},"17":{},"18":{},"19":{},"20":{}}}],["symbol(\"x$j",{"_index":3109,"t":{},"b":{"21":{}}}],["syntax",{"_index":269,"t":{},"b":{"1":{},"4":{},"7":{},"9":{},"13":{},"15":{},"18":{}}}],["syntaxpreliminari",{"_index":2266,"t":{},"b":{"13":{}}}],["syntaxtun",{"_index":809,"t":{},"b":{"4":{}}}],["syntaxus",{"_index":807,"t":{},"b":{"4":{}}}],["system",{"_index":622,"t":{},"b":{"2":{}}}],["systemat",{"_index":2050,"t":{},"b":{"10":{}}}],["t,1",{"_index":1075,"t":{},"b":{"4":{}}}],["t=pca(maxoutdim=2",{"_index":1829,"t":{},"b":{"7":{}}}],["t[numericrang",{"_index":1111,"t":{},"b":{"4":{}}}],["tabl",{"_index":3407,"t":{},"b":{"24":{}}}],["tabular",{"_index":2945,"t":{},"b":{"20":{}}}],["tag",{"_index":2491,"t":{},"b":{"16":{}}}],["take",{"_index":881,"t":{},"b":{"4":{},"15":{},"20":{}}}],["taken",{"_index":1895,"t":{},"b":{"8":{},"10":{},"19":{}}}],["target",{"_index":868,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"13":{},"19":{},"20":{},"22":{}}}],["task",{"_index":1890,"t":{},"b":{"8":{},"14":{}}}],["tax",{"_index":188,"t":{},"b":{"1":{},"3":{},"19":{}}}],["teach",{"_index":2487,"t":{},"b":{"16":{}}}],["temperatur",{"_index":710,"t":{},"b":{"3":{}}}],["temperature_extrem",{"_index":1463,"t":{},"b":{"6":{}}}],["tend",{"_index":3341,"t":{},"b":{"23":{}}}],["term",{"_index":2794,"t":{},"b":{"19":{},"22":{}}}],["test",{"_index":898,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"10":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["test[1:3]3",{"_index":2210,"t":{},"b":{"12":{}}}],["textual",{"_index":720,"t":{},"b":{"3":{}}}],["thank",{"_index":1685,"t":{},"b":{"7":{},"8":{}}}],["that'",{"_index":403,"t":{},"b":{"1":{},"6":{},"13":{},"20":{},"22":{},"23":{}}}],["there'",{"_index":629,"t":{},"b":{"2":{},"4":{},"6":{},"18":{},"19":{},"21":{}}}],["there'r",{"_index":3204,"t":{},"b":{"22":{}}}],["therefor",{"_index":1939,"t":{},"b":{"8":{}}}],["thibaut",{"_index":125,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["thing",{"_index":117,"t":{},"b":{"0":{},"4":{},"6":{},"16":{},"18":{},"20":{}}}],["third",{"_index":987,"t":{},"b":{"4":{}}}],["those",{"_index":244,"t":{},"b":{"1":{},"20":{},"21":{}}}],["though",{"_index":749,"t":{},"b":{"3":{},"11":{},"12":{}}}],["three",{"_index":617,"t":{},"b":{"2":{},"3":{},"7":{},"20":{},"21":{}}}],["threshold",{"_index":3020,"t":{},"b":{"20":{}}}],["through",{"_index":2298,"t":{},"b":{"13":{},"16":{}}}],["throughout",{"_index":731,"t":{},"b":{"3":{}}}],["thu",{"_index":2366,"t":{},"b":{"14":{}}}],["thumb",{"_index":1548,"t":{},"b":{"6":{}}}],["timber",{"_index":854,"t":{},"b":{"4":{}}}],["time",{"_index":515,"t":{},"b":{"1":{},"20":{},"21":{}}}],["tip",{"_index":768,"t":{},"b":{"3":{}}}],["tm",{"_index":1088,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"15":{},"21":{},"22":{},"23":{},"24":{}}}],["today",{"_index":2833,"t":{},"b":{"20":{}}}],["togeth",{"_index":2795,"t":{},"b":{"19":{}}}],["tol",{"_index":2960,"t":{},"b":{"20":{}}}],["tool",{"_index":780,"t":{},"b":{"3":{},"16":{}}}],["top_k",{"_index":1215,"t":{},"b":{"5":{}}}],["total",{"_index":1697,"t":{},"b":{"7":{}}}],["total_protein",{"_index":1476,"t":{},"b":{"6":{}}}],["totalbsmtsf",{"_index":835,"t":{},"b":{"4":{}}}],["toy",{"_index":2534,"t":{},"b":{"17":{}}}],["tpr",{"_index":3019,"t":{},"b":{"20":{}}}],["track",{"_index":1502,"t":{},"b":{"6":{},"12":{}}}],["tradeoff",{"_index":3417,"t":{},"b":{"24":{}}}],["train",{"_index":891,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"20":{},"21":{},"22":{},"23":{}}}],["train/test",{"_index":1560,"t":{},"b":{"6":{}}}],["train_best",{"_index":1112,"t":{},"b":{"4":{},"15":{},"21":{}}}],["transform",{"_index":19,"t":{"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["transform(1…25",{"_index":2305,"t":{},"b":{"13":{}}}],["transform(1…27",{"_index":2363,"t":{},"b":{"14":{}}}],["transform(1…71",{"_index":2360,"t":{},"b":{"14":{}}}],["transform(2…65",{"_index":985,"t":{},"b":{"4":{}}}],["transform(2…83",{"_index":2340,"t":{},"b":{"13":{}}}],["transform(box",{"_index":2323,"t":{},"b":{"13":{},"14":{}}}],["transform(fil",{"_index":1598,"t":{},"b":{"6":{}}}],["transform(hot",{"_index":975,"t":{},"b":{"4":{}}}],["transform(machine(m.std_model",{"_index":2387,"t":{},"b":{"14":{}}}],["transform(mstd",{"_index":2999,"t":{},"b":{"20":{}}}],["transform(pca",{"_index":1832,"t":{},"b":{"7":{},"17":{}}}],["transform(spca",{"_index":2555,"t":{},"b":{"17":{}}}],["transform(stand",{"_index":2249,"t":{},"b":{"12":{},"13":{},"14":{}}}],["transformationsimpl",{"_index":2725,"t":{},"b":{"19":{}}}],["treat",{"_index":1527,"t":{},"b":{"6":{}}}],["tree",{"_index":1209,"t":{"23":{}},"b":{"5":{},"6":{},"11":{},"12":{},"15":{},"16":{},"23":{}}}],["tree.max_depth",{"_index":3348,"t":{},"b":{"23":{}}}],["tree.min_samples_leaf",{"_index":3350,"t":{},"b":{"23":{}}}],["tree_method",{"_index":1192,"t":{},"b":{"5":{}}}],["tree_model",{"_index":2195,"t":{},"b":{"12":{}}}],["tri",{"_index":937,"t":{},"b":{"4":{},"6":{},"8":{},"17":{},"19":{},"20":{},"22":{},"23":{}}}],["trick",{"_index":769,"t":{},"b":{"3":{}}}],["trickstyp",{"_index":687,"t":{},"b":{"3":{}}}],["tricontourf(md",{"_index":1392,"t":{},"b":{"5":{}}}],["tricontourf(ss",{"_index":1424,"t":{},"b":{"5":{}}}],["tricontourf(vals_b",{"_index":2089,"t":{},"b":{"10":{}}}],["tricontourf(vals_sf",{"_index":2183,"t":{},"b":{"11":{},"15":{}}}],["true",{"_index":959,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"15":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["truth",{"_index":2331,"t":{},"b":{"13":{},"20":{}}}],["tune",{"_index":20,"t":{"15":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tuned_ensembl",{"_index":2075,"t":{},"b":{"10":{}}}],["tuned_forest",{"_index":2170,"t":{},"b":{"11":{}}}],["tunedmodel",{"_index":2068,"t":{},"b":{"10":{},"13":{},"15":{}}}],["tunedmodel(model=dtc",{"_index":2407,"t":{},"b":{"15":{}}}],["tunedmodel(model=dtr_model",{"_index":3370,"t":{},"b":{"23":{}}}],["tunedmodel(model=ensemble_model",{"_index":2069,"t":{},"b":{"10":{}}}],["tunedmodel(model=forest",{"_index":2171,"t":{},"b":{"11":{},"15":{}}}],["tunedmodel(model=krb",{"_index":1089,"t":{},"b":{"4":{}}}],["tunedmodel(model=lrm",{"_index":3115,"t":{},"b":{"21":{}}}],["tunedmodel(model=mdl",{"_index":3352,"t":{},"b":{"23":{}}}],["tunedmodel(model=model",{"_index":3235,"t":{},"b":{"22":{}}}],["tunedmodel(model=simplepip",{"_index":1645,"t":{},"b":{"6":{}}}],["tunedmodel(model=svc_mdl",{"_index":3423,"t":{},"b":{"24":{}}}],["tunedmodel(model=xgb",{"_index":1373,"t":{},"b":{"5":{}}}],["tuning=grid(resolution=10",{"_index":2070,"t":{},"b":{"10":{},"23":{},"24":{}}}],["tuning=grid(resolution=12",{"_index":2447,"t":{},"b":{"15":{}}}],["tuning=grid(resolution=3",{"_index":2172,"t":{},"b":{"11":{}}}],["tuning=grid(resolution=50",{"_index":3236,"t":{},"b":{"22":{}}}],["tuning=grid(resolution=8",{"_index":1374,"t":{},"b":{"5":{},"23":{}}}],["tuning=tun",{"_index":1090,"t":{},"b":{"4":{}}}],["tuningget",{"_index":3393,"t":{},"b":{"24":{}}}],["tuningreport",{"_index":2002,"t":{},"b":{"10":{}}}],["tupl",{"_index":2225,"t":{},"b":{"12":{},"13":{}}}],["tutori",{"_index":4,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["tweedie_variance_pow",{"_index":1216,"t":{},"b":{"5":{}}}],["two",{"_index":97,"t":{},"b":{"0":{},"2":{},"4":{},"6":{},"7":{},"8":{},"10":{},"14":{},"20":{}}}],["type",{"_index":12,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["typeget",{"_index":1674,"t":{},"b":{"7":{}}}],["typeof(boston)dataframes.datafram",{"_index":168,"t":{},"b":{"1":{},"2":{}}}],["typeof(data)dataframes.datafram",{"_index":625,"t":{},"b":{"2":{}}}],["typesinspect",{"_index":683,"t":{},"b":{"3":{}}}],["typeunpack",{"_index":1876,"t":{},"b":{"8":{}}}],["typewhi",{"_index":681,"t":{},"b":{"3":{}}}],["typic",{"_index":1976,"t":{},"b":{"9":{}}}],["u",{"_index":2888,"t":{},"b":{"20":{}}}],["uci",{"_index":1446,"t":{},"b":{"6":{},"7":{}}}],["un",{"_index":702,"t":{},"b":{"3":{}}}],["unbalanc",{"_index":2994,"t":{},"b":{"20":{}}}],["under",{"_index":3015,"t":{},"b":{"20":{}}}],["understood",{"_index":1892,"t":{},"b":{"8":{}}}],["unifi",{"_index":2727,"t":{},"b":{"19":{}}}],["uniform",{"_index":960,"t":{},"b":{"4":{},"5":{},"8":{},"10":{}}}],["union",{"_index":411,"t":{},"b":{"1":{},"17":{},"18":{},"20":{}}}],["union{miss",{"_index":1521,"t":{},"b":{"6":{},"7":{}}}],["uniqu",{"_index":787,"t":{},"b":{"3":{}}}],["unique(boston.chas)2",{"_index":747,"t":{},"b":{"3":{}}}],["unique(iris.species)3",{"_index":480,"t":{},"b":{"1":{}}}],["unique(purchase)2",{"_index":2979,"t":{},"b":{"20":{}}}],["unit",{"_index":2404,"t":{},"b":{"15":{}}}],["univari",{"_index":914,"t":{},"b":{"4":{},"19":{}}}],["univariateboxcoxtransform",{"_index":2321,"t":{},"b":{"13":{},"14":{}}}],["univariateboxcoxtransformer()nod",{"_index":2338,"t":{},"b":{"13":{}}}],["univariatefinite(down=>0.493",{"_index":2903,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.504",{"_index":2942,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.518",{"_index":2905,"t":{},"b":{"20":{}}}],["univariatefinite(down=>0.519",{"_index":2907,"t":{},"b":{"20":{}}}],["univariatefinite(setosa=>0.0",{"_index":2228,"t":{},"b":{"12":{}}}],["univariatestandard",{"_index":1985,"t":{},"b":{"9":{},"12":{}}}],["univers",{"_index":2469,"t":{},"b":{"16":{}}}],["unknown",{"_index":725,"t":{},"b":{"3":{},"6":{}}}],["unknowntip",{"_index":686,"t":{},"b":{"3":{}}}],["unless",{"_index":733,"t":{},"b":{"3":{}}}],["unnecessari",{"_index":2479,"t":{},"b":{"16":{}}}],["unpack",{"_index":1889,"t":{},"b":{"8":{},"12":{}}}],["unpack(auto",{"_index":3030,"t":{},"b":{"21":{}}}],["unpack(boston",{"_index":3359,"t":{},"b":{"23":{}}}],["unpack(caravan",{"_index":2996,"t":{},"b":{"20":{}}}],["unpack(data",{"_index":1709,"t":{},"b":{"7":{}}}],["unpack(datac",{"_index":1599,"t":{},"b":{"6":{}}}],["unpack(hitt",{"_index":3178,"t":{},"b":{"22":{}}}],["unpack(iri",{"_index":1891,"t":{},"b":{"8":{}}}],["unspecifi",{"_index":897,"t":{},"b":{"4":{}}}],["unsupervis",{"_index":2206,"t":{},"b":{"12":{},"13":{}}}],["untrain",{"_index":2290,"t":{},"b":{"13":{}}}],["unwant",{"_index":1498,"t":{},"b":{"6":{}}}],["up",{"_index":2877,"t":{},"b":{"20":{}}}],["up=>0.479",{"_index":2941,"t":{},"b":{"20":{}}}],["up=>0.481",{"_index":2908,"t":{},"b":{"20":{}}}],["up=>0.482",{"_index":2906,"t":{},"b":{"20":{}}}],["up=>0.496",{"_index":2943,"t":{},"b":{"20":{}}}],["up=>0.507",{"_index":2904,"t":{},"b":{"20":{}}}],["updat",{"_index":1197,"t":{},"b":{"5":{}}}],["updr",{"_index":418,"t":{},"b":{"1":{}}}],["upon",{"_index":2100,"t":{},"b":{"11":{}}}],["upper",{"_index":2403,"t":{},"b":{"15":{}}}],["upper=0.9",{"_index":1072,"t":{},"b":{"4":{}}}],["upper=1.0",{"_index":1417,"t":{},"b":{"5":{},"10":{},"11":{},"15":{}}}],["upper=10",{"_index":1069,"t":{},"b":{"4":{},"5":{},"23":{}}}],["upper=100",{"_index":1064,"t":{},"b":{"4":{},"6":{},"22":{}}}],["upper=1000",{"_index":2149,"t":{},"b":{"11":{}}}],["upper=100_000",{"_index":3234,"t":{},"b":{"22":{}}}],["upper=10_000",{"_index":3286,"t":{},"b":{"22":{}}}],["upper=12",{"_index":2163,"t":{},"b":{"11":{}}}],["upper=20",{"_index":2064,"t":{},"b":{"10":{},"23":{}}}],["upper=3",{"_index":2446,"t":{},"b":{"15":{}}}],["upper=5",{"_index":1372,"t":{},"b":{"5":{},"24":{}}}],["upper=5)numericrang",{"_index":2402,"t":{},"b":{"15":{}}}],["upper=50",{"_index":3351,"t":{},"b":{"23":{}}}],["upper=500",{"_index":1243,"t":{},"b":{"5":{}}}],["upstream",{"_index":2308,"t":{},"b":{"13":{}}}],["urban",{"_index":3310,"t":{},"b":{"23":{}}}],["urbanpop",{"_index":2503,"t":{},"b":{"17":{}}}],["urbanpop=>continu",{"_index":2518,"t":{},"b":{"17":{}}}],["us",{"_index":61,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["usag",{"_index":476,"t":{},"b":{"1":{},"2":{}}}],["usageexampl",{"_index":546,"t":{},"b":{"2":{}}}],["usarrest",{"_index":2498,"t":{},"b":{"17":{}}}],["usual",{"_index":706,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"20":{},"24":{}}}],["v",{"_index":63,"t":{},"b":{"0":{},"12":{}}}],["v))0.0",{"_index":2261,"t":{},"b":{"12":{}}}],["v)machine{univariatestandard",{"_index":2246,"t":{},"b":{"12":{}}}],["v[1",{"_index":105,"t":{},"b":{"0":{}}}],["v[2]fals",{"_index":119,"t":{},"b":{"0":{}}}],["v[2]true",{"_index":106,"t":{},"b":{"0":{}}}],["val",{"_index":2978,"t":{},"b":{"20":{}}}],["valid",{"_index":623,"t":{"21":{}},"b":{"2":{},"4":{},"15":{},"16":{},"21":{},"22":{}}}],["validatinglasso",{"_index":3150,"t":{},"b":{"22":{}}}],["validationth",{"_index":3028,"t":{},"b":{"21":{}}}],["vals[1",{"_index":2983,"t":{},"b":{"20":{}}}],["vals[2",{"_index":2985,"t":{},"b":{"20":{}}}],["vals_b",{"_index":2086,"t":{},"b":{"10":{}}}],["vals_bf",{"_index":2182,"t":{},"b":{"11":{},"15":{}}}],["vals_k",{"_index":2088,"t":{},"b":{"10":{}}}],["vals_sf",{"_index":2181,"t":{},"b":{"11":{},"15":{}}}],["valu",{"_index":121,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"9":{},"13":{},"15":{},"16":{},"19":{},"21":{},"22":{}}}],["valuefit",{"_index":2395,"t":{},"b":{"15":{}}}],["values=cas",{"_index":3114,"t":{},"b":{"21":{}}}],["valuesa",{"_index":1442,"t":{},"b":{"6":{}}}],["valuessplit",{"_index":143,"t":{},"b":{"1":{}}}],["valuesthi",{"_index":56,"t":{},"b":{"0":{}}}],["var(xs[:,1",{"_index":3000,"t":{},"b":{"20":{}}}],["vari",{"_index":1237,"t":{},"b":{"5":{},"7":{},"12":{}}}],["variabl",{"_index":290,"t":{},"b":{"1":{},"3":{},"7":{},"9":{},"17":{},"18":{},"19":{},"20":{},"23":{}}}],["varianc",{"_index":918,"t":{},"b":{"4":{},"17":{}}}],["variat",{"_index":1772,"t":{},"b":{"7":{}}}],["variou",{"_index":1770,"t":{},"b":{"7":{}}}],["vcat",{"_index":2291,"t":{},"b":{"13":{},"24":{}}}],["vcat(data_train",{"_index":1499,"t":{},"b":{"6":{}}}],["vector",{"_index":60,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"12":{},"18":{},"24":{}}}],["vectorwork",{"_index":53,"t":{},"b":{"0":{}}}],["vega",{"_index":2722,"t":{},"b":{"18":{}}}],["verbos",{"_index":1031,"t":{},"b":{"4":{},"13":{}}}],["verbosity::int",{"_index":1018,"t":{},"b":{"4":{},"14":{}}}],["verbosity=0",{"_index":1027,"t":{},"b":{"4":{},"14":{}}}],["veri",{"_index":163,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"16":{},"18":{},"19":{},"20":{}}}],["versicolor",{"_index":481,"t":{},"b":{"1":{},"12":{}}}],["versicolor=>0.0",{"_index":2229,"t":{},"b":{"12":{}}}],["version",{"_index":447,"t":{},"b":{"1":{},"4":{}}}],["via",{"_index":553,"t":{},"b":{"2":{},"4":{},"7":{},"10":{},"14":{},"18":{},"20":{}}}],["view",{"_index":193,"t":{},"b":{"1":{}}}],["virginica",{"_index":482,"t":{},"b":{"1":{},"12":{}}}],["virginica=>1.0",{"_index":2230,"t":{},"b":{"12":{}}}],["visualis",{"_index":1421,"t":{},"b":{"5":{},"7":{},"10":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"24":{}}}],["vntrcod2",{"_index":431,"t":{},"b":{"1":{}}}],["vntrcode",{"_index":429,"t":{},"b":{"1":{}}}],["volum",{"_index":2832,"t":{},"b":{"20":{}}}],["vs",{"_index":680,"t":{},"b":{"3":{}}}],["vv",{"_index":2258,"t":{},"b":{"12":{}}}],["w",{"_index":972,"t":{},"b":{"4":{},"7":{},"12":{},"13":{},"14":{},"17":{}}}],["w(rows=test",{"_index":2311,"t":{},"b":{"13":{}}}],["w(x[3:4",{"_index":2312,"t":{},"b":{"13":{}}}],["w)node",{"_index":982,"t":{},"b":{"4":{},"14":{}}}],["w.x1",{"_index":1837,"t":{},"b":{"7":{}}}],["w.x2",{"_index":1839,"t":{},"b":{"7":{}}}],["w[m",{"_index":2592,"t":{},"b":{"17":{}}}],["w_rang",{"_index":1070,"t":{},"b":{"4":{}}}],["w_range]3",{"_index":1073,"t":{},"b":{"4":{}}}],["walk",{"_index":3165,"t":{},"b":{"22":{}}}],["want",{"_index":103,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"8":{},"9":{},"13":{},"16":{},"18":{},"19":{},"20":{},"21":{}}}],["warn",{"_index":2202,"t":{},"b":{"12":{}}}],["way",{"_index":551,"t":{},"b":{"2":{},"7":{},"14":{},"15":{},"16":{},"18":{},"20":{}}}],["we'll",{"_index":1546,"t":{},"b":{"6":{},"7":{},"20":{},"22":{}}}],["we'r",{"_index":2913,"t":{},"b":{"20":{},"21":{},"22":{}}}],["we'v",{"_index":104,"t":{},"b":{"0":{},"6":{},"10":{},"11":{},"17":{},"20":{}}}],["wealth",{"_index":2616,"t":{},"b":{"18":{}}}],["websit",{"_index":133,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["weight",{"_index":708,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"10":{},"15":{},"18":{},"21":{}}}],["welcom",{"_index":2456,"t":{},"b":{"16":{}}}],["well",{"_index":148,"t":{},"b":{"1":{},"2":{},"4":{},"6":{},"7":{},"11":{},"19":{},"20":{},"21":{}}}],["whatev",{"_index":2307,"t":{},"b":{"13":{}}}],["whatever'",{"_index":1551,"t":{},"b":{"6":{}}}],["whenc",{"_index":2049,"t":{},"b":{"10":{}}}],["wherea",{"_index":699,"t":{},"b":{"3":{}}}],["whether",{"_index":628,"t":{},"b":{"2":{},"5":{},"6":{},"13":{},"23":{}}}],["whole",{"_index":1630,"t":{},"b":{"6":{},"11":{},"23":{}}}],["whose",{"_index":73,"t":{},"b":{"0":{},"13":{}}}],["width",{"_index":3419,"t":{},"b":{"24":{}}}],["wine",{"_index":39,"t":{"7":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["wise",{"_index":2621,"t":{},"b":{"18":{}}}],["wish",{"_index":91,"t":{},"b":{"0":{}}}],["without",{"_index":474,"t":{},"b":{"1":{},"22":{}}}],["won't",{"_index":1827,"t":{},"b":{"7":{},"17":{},"20":{}}}],["wonder",{"_index":2603,"t":{},"b":{"18":{}}}],["work",{"_index":88,"t":{},"b":{"0":{},"6":{},"7":{},"11":{},"13":{},"20":{},"22":{}}}],["workflow",{"_index":1977,"t":{},"b":{"9":{},"13":{}}}],["worri",{"_index":575,"t":{},"b":{"2":{}}}],["wors",{"_index":1671,"t":{},"b":{"6":{}}}],["wrangl",{"_index":2706,"t":{},"b":{"18":{}}}],["wrap",{"_index":888,"t":{},"b":{"4":{},"5":{},"7":{},"10":{},"12":{},"13":{},"15":{},"19":{},"24":{}}}],["wrapper",{"_index":171,"t":{},"b":{"1":{},"15":{}}}],["write",{"_index":2353,"t":{},"b":{"14":{},"21":{}}}],["written",{"_index":2474,"t":{},"b":{"16":{},"18":{}}}],["x",{"_index":823,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["x.age",{"_index":2799,"t":{},"b":{"19":{}}}],["x.horsepow",{"_index":3054,"t":{},"b":{"21":{}}}],["x.lstat",{"_index":2798,"t":{},"b":{"19":{}}}],["x.lstat.^2",{"_index":2809,"t":{},"b":{"19":{}}}],["x.x2",{"_index":2440,"t":{},"b":{"15":{}}}],["x1",{"_index":1836,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"21":{}}}],["x10",{"_index":3126,"t":{},"b":{"21":{}}}],["x1=rand(100",{"_index":2436,"t":{},"b":{"15":{}}}],["x1stflrsf",{"_index":834,"t":{},"b":{"4":{}}}],["x2",{"_index":1838,"t":{},"b":{"7":{},"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x2=rand(100",{"_index":2437,"t":{},"b":{"15":{}}}],["x2=x2",{"_index":2273,"t":{},"b":{"13":{},"14":{}}}],["x2[mask_1",{"_index":1845,"t":{},"b":{"7":{}}}],["x2[mask_2",{"_index":1850,"t":{},"b":{"7":{}}}],["x2[mask_3",{"_index":1853,"t":{},"b":{"7":{}}}],["x3",{"_index":2269,"t":{},"b":{"13":{},"14":{},"17":{},"19":{},"20":{},"21":{}}}],["x3=rand(100",{"_index":2438,"t":{},"b":{"15":{}}}],["x3=x3",{"_index":2274,"t":{},"b":{"13":{},"14":{}}}],["x4",{"_index":2524,"t":{},"b":{"17":{},"21":{}}}],["x5",{"_index":2557,"t":{},"b":{"17":{},"21":{}}}],["x6",{"_index":2558,"t":{},"b":{"17":{},"21":{}}}],["x7",{"_index":3123,"t":{},"b":{"21":{}}}],["x8",{"_index":3124,"t":{},"b":{"21":{}}}],["x9",{"_index":3125,"t":{},"b":{"21":{}}}],["x[1",{"_index":2636,"t":{},"b":{"18":{}}}],["x[1:5",{"_index":1722,"t":{},"b":{"7":{}}}],["x[[1",{"_index":2637,"t":{},"b":{"18":{}}}],["x[no_miss",{"_index":3183,"t":{},"b":{"22":{}}}],["x[test",{"_index":2018,"t":{},"b":{"10":{}}}],["x[train",{"_index":1612,"t":{},"b":{"6":{}}}],["x[ym1",{"_index":3403,"t":{},"b":{"24":{}}}],["x[ym2",{"_index":3405,"t":{},"b":{"24":{}}}],["x^2",{"_index":2618,"t":{},"b":{"18":{}}}],["x_uni",{"_index":2745,"t":{},"b":{"19":{}}}],["xc",{"_index":1731,"t":{},"b":{"7":{},"22":{}}}],["xg",{"_index":2493,"t":{},"b":{"16":{}}}],["xgb",{"_index":41,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["xgb.colsample_bytre",{"_index":1431,"t":{},"b":{"5":{}}}],["xgb.colsample_bytreexgb.subsampl",{"_index":1430,"t":{},"b":{"5":{}}}],["xgb.max_depth",{"_index":1400,"t":{},"b":{"5":{}}}],["xgb.min_child_weight",{"_index":1402,"t":{},"b":{"5":{}}}],["xgb.min_child_weightxgb.max_depth",{"_index":1401,"t":{},"b":{"5":{}}}],["xgb.num_round",{"_index":1363,"t":{},"b":{"5":{}}}],["xgb.subsampl",{"_index":1429,"t":{},"b":{"5":{}}}],["xgb_mdl",{"_index":3385,"t":{},"b":{"23":{}}}],["xgb_model",{"_index":1177,"t":{},"b":{"5":{}}}],["xgbm",{"_index":1233,"t":{},"b":{"5":{}}}],["xgboost",{"_index":1133,"t":{"5":{}},"b":{"5":{},"8":{}}}],["xgboostclassifi",{"_index":1176,"t":{},"b":{"5":{},"6":{},"8":{}}}],["xgboostclassifier()xgboostclassifi",{"_index":1178,"t":{},"b":{"5":{}}}],["xgboostregressor",{"_index":3384,"t":{},"b":{"23":{}}}],["xgboostregressor(num_round=10",{"_index":3386,"t":{},"b":{"23":{}}}],["xhp",{"_index":3055,"t":{},"b":{"21":{}}}],["xlabel(\"bag",{"_index":2091,"t":{},"b":{"10":{}}}],["xlabel(\"fals",{"_index":3023,"t":{},"b":{"20":{}}}],["xlabel(\"horsepow",{"_index":3035,"t":{},"b":{"21":{}}}],["xlabel(\"index",{"_index":3186,"t":{},"b":{"22":{}}}],["xlabel(\"maximum",{"_index":1394,"t":{},"b":{"5":{},"15":{}}}],["xlabel(\"numb",{"_index":1355,"t":{},"b":{"5":{},"11":{},"15":{},"17":{}}}],["xlabel(\"pca",{"_index":1855,"t":{},"b":{"7":{},"17":{}}}],["xlabel(\"residu",{"_index":3227,"t":{},"b":{"22":{}}}],["xlabel(\"salari",{"_index":3191,"t":{},"b":{"22":{}}}],["xlabel(\"sub",{"_index":1425,"t":{},"b":{"5":{}}}],["xlabel(\"tick",{"_index":2875,"t":{},"b":{"20":{}}}],["xlim",{"_index":3228,"t":{},"b":{"22":{}}}],["xnew",{"_index":2758,"t":{},"b":{"19":{},"20":{},"21":{}}}],["xnew.lstat",{"_index":2811,"t":{},"b":{"19":{}}}],["xnew.lstat.^2",{"_index":2813,"t":{},"b":{"19":{}}}],["xraw",{"_index":2005,"t":{},"b":{"10":{}}}],["xraw[:,2",{"_index":2008,"t":{},"b":{"10":{}}}],["xs",{"_index":964,"t":{},"b":{"4":{},"13":{},"14":{},"20":{}}}],["xs)node",{"_index":2303,"t":{},"b":{"13":{}}}],["xtest",{"_index":1793,"t":{},"b":{"7":{}}}],["xticks(0.5:0.1:1",{"_index":2090,"t":{},"b":{"10":{}}}],["xticks(1:3:12",{"_index":2184,"t":{},"b":{"11":{}}}],["xticks(1:5",{"_index":2433,"t":{},"b":{"15":{}}}],["xticks(3:2:10",{"_index":1396,"t":{},"b":{"5":{}}}],["xticks(50:50:250",{"_index":3036,"t":{},"b":{"21":{}}}],["xticks([1",{"_index":2450,"t":{},"b":{"15":{},"20":{}}}],["xticks([10",{"_index":1358,"t":{},"b":{"5":{},"11":{}}}],["xticks(fontsize=12",{"_index":1428,"t":{},"b":{"5":{},"7":{},"20":{},"22":{}}}],["xticks(idxshow",{"_index":3279,"t":{},"b":{"22":{}}}],["xtrain",{"_index":1611,"t":{},"b":{"6":{},"7":{}}}],["xx",{"_index":3045,"t":{},"b":{"21":{},"22":{}}}],["xx.horsepow",{"_index":3089,"t":{},"b":{"21":{}}}],["y",{"_index":824,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["y)0.0",{"_index":3339,"t":{},"b":{"23":{}}}],["y)0.1",{"_index":3426,"t":{},"b":{"24":{}}}],["y)0.15",{"_index":3416,"t":{},"b":{"24":{}}}],["y)machine{constantregressor",{"_index":895,"t":{},"b":{"4":{}}}],["y)machine{decisiontreeclassifi",{"_index":2204,"t":{},"b":{"12":{}}}],["y)machine{knnregressor",{"_index":2015,"t":{},"b":{"10":{}}}],["y)machine{logisticclassifi",{"_index":2898,"t":{},"b":{"20":{}}}],["y)machine{xgboostclassifi",{"_index":1235,"t":{},"b":{"5":{}}}],["y[1:3",{"_index":869,"t":{},"b":{"4":{},"5":{}}}],["y[test",{"_index":1437,"t":{},"b":{"5":{},"10":{},"12":{},"20":{},"22":{},"23":{}}}],["y[test])0.11590837511873998",{"_index":2020,"t":{},"b":{"10":{}}}],["y[test])0.26",{"_index":3356,"t":{},"b":{"23":{}}}],["y[test])0.29",{"_index":3345,"t":{},"b":{"23":{}}}],["y[test])0.3939854493135167",{"_index":934,"t":{},"b":{"4":{}}}],["y[test])0.7434211711306039",{"_index":3017,"t":{},"b":{"20":{}}}],["y[test])^2",{"_index":3080,"t":{},"b":{"21":{},"22":{}}}],["y[test])^223.493990895007986",{"_index":3044,"t":{},"b":{"21":{}}}],["y[train",{"_index":1614,"t":{},"b":{"6":{}}}],["yc",{"_index":1714,"t":{},"b":{"7":{}}}],["ye",{"_index":2980,"t":{},"b":{"20":{},"23":{}}}],["yeah",{"_index":1538,"t":{},"b":{"6":{}}}],["year",{"_index":2649,"t":{},"b":{"18":{},"20":{},"22":{}}}],["yearbuilt",{"_index":842,"t":{},"b":{"4":{}}}],["yearremodadd",{"_index":841,"t":{},"b":{"4":{}}}],["ylabel(\"amplitud",{"_index":3282,"t":{},"b":{"22":{}}}],["ylabel(\"bag",{"_index":2186,"t":{},"b":{"11":{},"15":{}}}],["ylabel(\"col",{"_index":1427,"t":{},"b":{"5":{}}}],["ylabel(\"dens",{"_index":3192,"t":{},"b":{"22":{}}}],["ylabel(\"hingeloss",{"_index":1357,"t":{},"b":{"5":{}}}],["ylabel(\"minimum",{"_index":1395,"t":{},"b":{"5":{}}}],["ylabel(\"misclassif",{"_index":2434,"t":{},"b":{"15":{}}}],["ylabel(\"mpg",{"_index":3038,"t":{},"b":{"21":{}}}],["ylabel(\"numb",{"_index":2094,"t":{},"b":{"10":{},"20":{}}}],["ylabel(\"pca",{"_index":1857,"t":{},"b":{"7":{},"17":{}}}],["ylabel(\"ratio",{"_index":2571,"t":{},"b":{"17":{}}}],["ylabel(\"residu",{"_index":3212,"t":{},"b":{"22":{}}}],["ylabel(\"salari",{"_index":3187,"t":{},"b":{"22":{}}}],["ylabel(\"tru",{"_index":3024,"t":{},"b":{"20":{}}}],["ylabel(\"volum",{"_index":2876,"t":{},"b":{"20":{}}}],["ylim",{"_index":3213,"t":{},"b":{"22":{}}}],["ylim([0",{"_index":2435,"t":{},"b":{"15":{}}}],["ylim([4",{"_index":2156,"t":{},"b":{"11":{}}}],["ym1",{"_index":3400,"t":{},"b":{"24":{}}}],["ym2",{"_index":3401,"t":{},"b":{"24":{}}}],["you'd",{"_index":2207,"t":{},"b":{"12":{}}}],["you'r",{"_index":999,"t":{},"b":{"4":{},"7":{},"16":{},"18":{}}}],["you'v",{"_index":993,"t":{},"b":{"4":{},"12":{}}}],["yourself",{"_index":632,"t":{},"b":{"2":{}}}],["ypred",{"_index":995,"t":{},"b":{"4":{},"23":{},"24":{}}}],["ypreds)0.16152078648356502",{"_index":998,"t":{},"b":{"4":{}}}],["ys",{"_index":966,"t":{},"b":{"4":{},"13":{},"14":{}}}],["ys)node",{"_index":2359,"t":{},"b":{"14":{}}}],["ytest",{"_index":1795,"t":{},"b":{"7":{}}}],["yticks(0.4:0.2:1",{"_index":2185,"t":{},"b":{"11":{}}}],["yticks(1.46:0.005:1.475",{"_index":1361,"t":{},"b":{"5":{}}}],["yticks(10:10:50",{"_index":3037,"t":{},"b":{"21":{}}}],["yticks([1",{"_index":2093,"t":{},"b":{"10":{}}}],["yticks(fontsize=12",{"_index":1397,"t":{},"b":{"5":{},"7":{},"15":{},"20":{},"22":{}}}],["ytrain",{"_index":1613,"t":{},"b":{"6":{},"7":{}}}],["ytrain)0.11371237458193979",{"_index":1672,"t":{},"b":{"6":{}}}],["ytrain)machine{mnpip",{"_index":1799,"t":{},"b":{"7":{}}}],["yy",{"_index":3048,"t":{},"b":{"21":{},"22":{}}}],["yy1",{"_index":3093,"t":{},"b":{"21":{}}}],["yy2",{"_index":3095,"t":{},"b":{"21":{}}}],["yy3",{"_index":3097,"t":{},"b":{"21":{}}}],["yy5",{"_index":3145,"t":{},"b":{"21":{}}}],["ŷ(rows=test",{"_index":996,"t":{},"b":{"4":{}}}],["ŷ(rows=test))0.019910338054336767",{"_index":2333,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.05425574766979042",{"_index":2335,"t":{},"b":{"13":{}}}],["ŷ(rows=test))0.12278602255214813",{"_index":1005,"t":{},"b":{"4":{}}}],["ŷ[1:3",{"_index":907,"t":{},"b":{"4":{}}}],["ŷ[1:3]3",{"_index":925,"t":{},"b":{"4":{},"20":{}}}],["ŷ[1]ŷ[1",{"_index":2227,"t":{},"b":{"12":{}}}],["ȳ[1",{"_index":2234,"t":{},"b":{"12":{}}}],["z",{"_index":973,"t":{},"b":{"4":{},"13":{},"14":{},"18":{}}}],["zip((mask1",{"_index":2587,"t":{},"b":{"17":{}}}],["zip(sch.nam",{"_index":1516,"t":{},"b":{"6":{},"7":{}}}],["zn",{"_index":180,"t":{},"b":{"1":{},"3":{},"19":{}}}],["zn]]5×2",{"_index":258,"t":{},"b":{"1":{}}}],["ẑ)node",{"_index":2326,"t":{},"b":{"13":{},"14":{}}}],["ẑ.machine.model.lambda",{"_index":2347,"t":{},"b":{"13":{}}}],["ẑ[:lambda",{"_index":2346,"t":{},"b":{"13":{}}}]],"pipeline":["stemmer"]};
-const PREVIEW_LOOKUP = {"0":{"t":"Handling categorical data","l":"/MLJTutorials/data/categorical/index.html"},"1":{"t":"Manipulating a DataFrame","l":"/MLJTutorials/data/dataframe/index.html"},"2":{"t":"Loading and elementary processing of data","l":"/MLJTutorials/data/loading/index.html"},"3":{"t":"Data interpretation: Scientific Types","l":"/MLJTutorials/data/scitype/index.html"},"4":{"t":"AMES","l":"/MLJTutorials/end-to-end/AMES/index.html"},"5":{"t":"Crabs with XGBoost","l":"/MLJTutorials/end-to-end/crabs-xgb/index.html"},"6":{"t":"Horse colic data","l":"/MLJTutorials/end-to-end/horse/index.html"},"7":{"t":"Wine","l":"/MLJTutorials/end-to-end/wine/index.html"},"8":{"t":"Choosing and evaluating a model","l":"/MLJTutorials/getting-started/choosing-a-model/index.html"},"9":{"t":"Composing models","l":"/MLJTutorials/getting-started/composing-models/index.html"},"10":{"t":"Ensemble models","l":"/MLJTutorials/getting-started/ensembles/index.html"},"11":{"t":"Ensemble models (2)","l":"/MLJTutorials/getting-started/ensembles-2/index.html"},"12":{"t":"Fit, predict, transform","l":"/MLJTutorials/getting-started/fit-and-predict/index.html"},"13":{"t":"Learning networks","l":"/MLJTutorials/getting-started/learning-networks/index.html"},"14":{"t":"Learning networks 2","l":"/MLJTutorials/getting-started/learning-networks-2/index.html"},"15":{"t":"Tuning a model","l":"/MLJTutorials/getting-started/model-tuning/index.html"},"16":{"t":"MLJ Tutorials","l":"/MLJTutorials/index.html"},"17":{"t":"Lab 10 - PCA and Clustering","l":"/MLJTutorials/isl/lab-10/index.html"},"18":{"t":"Lab 2","l":"/MLJTutorials/isl/lab-2/index.html"},"19":{"t":"Lab 3 - Linear Regression","l":"/MLJTutorials/isl/lab-3/index.html"},"20":{"t":"Lab 4 - Logistic Regression, LDA, QDA, KNN","l":"/MLJTutorials/isl/lab-4/index.html"},"21":{"t":"Lab 5 - Cross validation and the bootstrap","l":"/MLJTutorials/isl/lab-5/index.html"},"22":{"t":"Lab 6b - Ridge and Lasso regression","l":"/MLJTutorials/isl/lab-6b/index.html"},"23":{"t":"Lab 8 - Tree-based models","l":"/MLJTutorials/isl/lab-8/index.html"},"24":{"t":"Lab 9 - Support Vector Machine","l":"/MLJTutorials/isl/lab-9/index.html"},"25":{"t":"Search ⋅ MLJTutorials","l":"/MLJTutorials/search/index.html"}};
\ No newline at end of file
+const LUNR_DATA = {"version":"2.3.8","fields":["t","b"],"fieldVectors":[["t/0",[0,2.145,1,0.017,2,0.104]],["b/0",[0,2.765,1,0.034,2,0.192,3,0.022,4,0.086,5,0.023,6,0.023,7,0.036,8,0.022,9,0.023,10,0.023,11,0.022,12,0.022,13,0.023,14,0.023,15,0.022,16,0.301,17,0.022,18,0.022,19,0.022,20,0.022,21,0.137,22,0.153,23,0.033,24,0.022,25,0.086,26,0.079,27,0.022,28,0.023,29,0.023,30,0.379,31,0.022,32,0.022,33,0.022,34,0.022,35,0.022,36,0.022,37,0.029,38,0.031,39,0.022,40,0.022,41,0.022,42,0.023,43,0.022,44,0.069,45,0.069,46,0.069,47,0.087,48,0.118,49,0.118,50,0.118,51,0.069,52,0.118,53,1.028,54,3.873,55,3.873,56,3.873,57,3.873,58,2,59,3.205,60,2.437,61,1.909,62,0.1,63,2.765,64,3.974,65,4.858,66,4.968,67,5.851,68,4.842,69,3.873,70,1.369,71,4.858,72,2.437,73,3.205,74,3.205,75,2.765,76,2.174,77,2.765,78,3.469,79,5.309,80,1.956,81,4.021,82,4.177,83,5.566,84,3.34,85,1.101,86,1.956,87,4.393,88,1.584,89,1.605,90,0.949,91,5.309,92,3.873,93,2.424,94,1.242,95,0.819,96,0.211,97,0.819,98,1.329,99,3.873,100,0.377,101,1.956,102,0.737,103,2.765,104,1.38,105,1.956,106,5.309,107,4.858,108,0.651,109,1,110,2.174,111,3.873,112,5.851,113,3.681,114,3.502,115,0.819,116,3.873,117,3.873,118,1.956,119,3.873,120,3.873,121,1.658,122,1.028,123,2.437,124,0.023,125,0.023,126,0.023,127,0.023,128,0.023,129,0.023,130,0.023,131,0.023,132,0.168,133,0.023,134,0.023,135,0.023,136,0.023]],["t/1",[137,1.946,138,0.526]],["b/1",[1,0.024,2,0.175,3,0.01,4,0.07,5,0.011,6,0.021,7,0.037,8,0.016,9,0.011,10,0.011,11,0.01,12,0.02,13,0.011,14,0.021,15,0.01,16,0.2,17,0.01,18,0.01,19,0.01,20,0.01,21,0.091,22,0.149,23,0.032,24,0.01,25,0.064,26,0.046,27,0.01,28,0.011,29,0.011,30,0.312,31,0.027,32,0.026,33,0.01,34,0.02,35,0.02,36,0.02,37,0.017,38,0.021,39,0.01,40,0.01,41,0.01,42,0.011,43,0.01,44,0.033,45,0.033,46,0.033,47,0.051,48,0.056,49,0.056,50,0.056,51,0.033,52,0.056,59,1.517,61,1.207,62,0.099,70,0.824,78,2.839,84,1.153,86,2.178,90,0.6,95,1.178,96,0.124,97,0.605,100,0.405,104,0.813,108,0.246,109,0.473,121,1.242,122,0.744,124,0.011,125,0.011,126,0.011,127,0.011,128,0.011,129,0.017,130,0.021,131,0.011,132,0.124,133,0.011,134,0.011,135,0.011,136,0.011,137,1.029,138,0.845,139,1.833,140,1.833,141,1.833,142,1.833,143,1.833,144,1.833,145,1.458,146,1.833,147,1.517,148,1.833,149,0.629,150,2.043,151,1.517,152,1.238,153,1.517,154,1.153,155,1.029,156,1.833,157,1.517,158,1.517,159,1.309,160,0.215,161,1.833,162,1.816,163,1.099,164,1.427,165,0.533,166,0.521,167,1.029,168,1.777,169,1.517,170,2.008,171,1.309,172,1.309,173,0.926,174,1,175,1.527,176,1.299,177,1,178,1.833,179,1.309,180,3.706,181,3.706,182,3.526,183,2.839,184,2.513,185,1.498,186,2.178,187,2.839,188,2.839,189,2.839,190,2.839,191,2.839,192,2.839,193,2.502,194,3.977,195,0.757,196,0.691,197,1.782,198,1.517,199,1.833,200,2.283,201,1.307,202,2.566,203,4.087,204,3.408,205,3.569,206,1.491,207,2.368,208,2.368,209,2.368,210,2.368,211,2.913,212,2.368,213,3.569,214,2.368,215,2.368,216,3.951,217,1.492,218,3.951,219,2.368,220,2.368,221,2.368,222,2.913,223,2.913,224,2.913,225,2.368,226,2.368,227,3.569,228,1.517,229,1.517,230,1.517,231,1.517,232,1.309,233,3.977,234,1.833,235,1.833,236,1.833,237,1.833,238,1.833,239,1.833,240,1.833,241,1.833,242,1.833,243,1.833,244,0.655,245,1.309,246,1.8,247,1.309,248,0.691,249,1.833,250,0.926,251,3.52,252,2.368,253,1.606,254,1.833,255,1.833,256,1.186,257,1.833,258,2.862,259,1.833,260,1.833,261,1.833,262,2.502,263,1.976,264,2.513,265,1.153,266,1.833,267,2.368,268,2.862,269,1.833,270,0.837,271,1.833,272,1.833,273,1.833,274,1.833,275,0.837,276,2.043,277,1.833,278,1.833,279,1.833,280,1.833,281,1.517,282,2.502,283,1.777,284,1.186,285,1.833,286,2.368,287,4.313,288,3.977,289,3.079,290,1.833,291,1.498,292,1.445,293,1.625,294,2.368,295,1.833,296,2.913,297,2.862,298,1.517,299,2.368,300,2.913,301,1.517,302,1.833,303,1.833,304,2.913,305,2.862,306,1.517,307,1.517,308,1.517,309,1.833,310,1.833,311,1.517,312,1.517,313,1.078,314,1.833,315,1.833,316,1.517,317,1.833,318,1.517,319,1.186,320,1.833,321,1.517,322,1.833,323,1.517,324,1.833,325,1.833,326,1.517,327,1.833,328,1.517,329,1.517,330,1.517,331,2.368,332,1.517,333,1.833,334,1.833,335,1.517,336,1.833,337,1.517,338,2.043,339,1.833,340,1.833,341,1.517,342,1.833,343,1.517,344,1.307,345,1.833,346,1.517,347,1.833,348,1.517,349,2.043,350,1.833,351,1.833,352,1.517,353,1.833,354,1.517,355,2.368,356,1.833,357,1.517,358,1.833,359,1.517,360,2.043,361,0.473,362,1.625,363,1.976,364,0.744,365,1.309,366,1.833,367,1.833,368,1.833,369,1.833,370,1.153,371,1.833,372,1.833,373,1.833,374,1.309,375,1.833,376,2.862,377,1.833,378,1.153,379,0.349,380,1.833,381,1.833,382,1.517,383,1.309,384,3.52,385,1.833,386,1.833,387,1.517,388,2.368,389,1.833,390,1.517,391,1.029,392,2.043,393,1.309,394,1.833,395,1.833,396,1.833,397,1.833,398,1.517,399,2.043,400,1.309,401,1.833,402,1.833,403,1.833,404,0.926,405,1.153,406,0.629,407,1.833,408,2.862,409,1.833,410,1.833,411,1.833,412,1.8,413,1.833,414,1.517,415,1.517,416,1.833,417,1.833,418,1.833,419,1.833,420,1.833,421,1.833,422,1.833,423,1.833,424,1.833,425,1.833,426,1.833,427,1.833,428,3.52,429,1.517,430,1.833,431,1.309,432,1.833,433,1.833,434,1.833,435,3.52,436,1.833,437,1.833,438,1.833,439,1.309,440,1.833,441,1.833,442,1.029,443,1.833,444,1.833,445,0.629,446,1.517,447,1.517,448,1.517,449,2.232,450,1.309,451,1.517,452,1.517,453,2.368,454,2.368,455,3.569,456,2.368,457,4.56,458,1.517,459,1.517,460,2.368,461,2.913,462,3.706,463,1.517,464,1.029,465,1.517,466,1.517,467,1.153,468,3.52,469,1.445,470,1.8,471,0.813,472,1.517,473,1.607,474,1.309,475,1.309,476,1.833,477,1.517,478,1.833,479,1.445,480,1.8,481,1.833,482,3.291,483,3.291,484,2.862,485,1.833,486,1.029,487,2.862,488,1.833,489,1.833,490,1.833,491,1.833,492,1.833,493,1.833,494,1.517,495,1.833,496,1.833,497,0.388,498,3.52,499,1.833,500,1.517,501,1.833,502,1.517,503,0.157,504,1.833,505,2.862,506,0.605,507,1.445,508,1.078,509,2.862,510,1.833,511,1.833,512,2.862,513,2.862,514,1.833,515,1.833,516,1.309,517,0.926,518,0.573,519,2.862,520,2.862,521,1.833,522,2.862,523,2.862,524,2.862,525,2.862,526,0.573,527,1.517,528,1.833,529,1.833,530,1.833,531,1.833,532,1.833,533,1.833,534,1.833,535,1.833,536,1.833,537,1.833,538,1.833,539,1.833,540,1.833,541,1.833,542,1.833]],["t/2",[2,0.092,8,0.015,543,1.892,544,1.21]],["b/2",[1,0.017,2,0.204,3,0.017,4,0.083,5,0.018,6,0.025,7,0.037,8,0.032,9,0.018,10,0.018,11,0.017,12,0.017,13,0.018,14,0.028,15,0.017,16,0.27,17,0.017,18,0.017,19,0.017,20,0.017,21,0.123,22,0.147,23,0.031,24,0.017,25,0.083,26,0.068,27,0.017,28,0.018,29,0.018,30,0.361,31,0.017,32,0.017,33,0.017,34,0.017,35,0.017,36,0.017,37,0.025,38,0.028,39,0.017,40,0.017,41,0.024,42,0.018,43,0.017,44,0.055,45,0.055,46,0.055,47,0.075,48,0.094,49,0.094,50,0.094,51,0.075,52,0.145,61,1.058,62,0.104,86,2.4,90,0.959,94,0.722,95,0.885,96,0.206,97,0.885,98,1.436,100,0.426,109,1.081,121,1.756,122,0.885,123,1.94,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.134,133,0.018,134,0.018,135,0.018,136,0.018,138,0.774,149,1.436,150,2.201,155,1.731,159,2.201,160,0.361,162,2.433,163,1.786,164,0.963,165,0.413,166,1.35,167,1.731,168,2.114,169,2.551,170,1.557,174,0.876,175,1.189,177,1.189,197,1.664,200,1.969,201,1.189,202,3.211,206,1.894,244,0.468,246,1.94,248,1.162,263,1.731,284,1.278,360,2.201,361,1.081,379,0.905,393,3.393,449,1.731,452,2.551,464,1.731,469,1.557,477,2.551,497,0.885,503,0.264,506,0.652,526,0.963,543,2.201,544,1.911,545,3.083,546,3.083,547,3.083,548,3.083,549,3.083,550,2.633,551,3.083,552,1.911,553,1.081,554,1.911,555,4.186,556,3.083,557,5.329,558,3.464,559,1.748,560,2.35,561,1.734,562,2.988,563,2.551,564,1.94,565,1.081,566,1.577,567,0.963,568,3.083,569,2.633,570,4.186,571,2.551,572,2.551,573,1.94,574,3.083,575,1.94,576,3.083,577,0.796,578,2.861,579,2.551,580,4.41,581,3.083,582,3.083,583,2.551,584,3.083,585,4.186,586,3.933,587,3.083,588,3.083,589,3.083,590,6.002,591,3.083,592,3.083,593,3.083,594,3.083,595,3.083,596,3.083,597,3.083,598,3.083,599,3.083,600,3.083,601,3.083,602,3.083,603,3.083,604,3.083,605,3.083,606,3.083,607,3.083,608,3.639,609,3.083,610,3.083,611,3.083,612,5.496,613,3.083,614,2.988,615,3.083,616,3.083,617,3.083,618,1.557,619,3.083,620,3.083,621,3.083,622,1.94,623,4.186,624,1.278,625,3.083,626,3.083,627,2.551,628,4.652,629,1.731,630,1.557,631,1.557,632,1.278,633,3.083,634,3.083,635,3.083,636,1.162,637,2.551,638,1.94,639,4.186,640,3.464,641,2.551,642,3.083,643,1.94,644,1.557,645,3.083,646,4.186,647,3.083,648,4.186,649,4.186,650,4.186,651,4.186,652,4.186,653,4.186,654,4.186,655,4.186,656,2.551,657,4.186,658,3.083,659,3.083,660,3.083,661,3.083,662,3.083,663,3.083,664,3.083,665,3.083,666,3.083,667,4.186,668,3.083,669,3.083,670,3.083,671,3.083,672,3.083,673,3.083,674,3.083,675,3.083,676,3.083,677,3.083,678,3.083,679,3.083]],["t/3",[2,0.092,11,0.015,12,0.015,680,0.999]],["b/3",[1,0.031,2,0.205,3,0.022,4,0.063,5,0.016,6,0.016,7,0.037,8,0.016,9,0.016,10,0.016,11,0.033,12,0.035,13,0.016,14,0.016,15,0.022,16,0.255,17,0.016,18,0.016,19,0.016,20,0.016,21,0.116,22,0.132,23,0.022,24,0.016,25,0.073,26,0.063,27,0.016,28,0.016,29,0.016,30,0.352,31,0.016,32,0.016,33,0.016,34,0.016,35,0.016,36,0.016,37,0.023,38,0.026,39,0.016,40,0.016,41,0.016,42,0.016,43,0.016,44,0.05,45,0.05,46,0.05,47,0.07,48,0.084,49,0.084,50,0.084,51,0.05,52,0.084,53,0.822,60,1.743,61,1.912,62,0.1,66,3.217,68,3.717,70,0.91,75,1.978,81,3.717,85,1.384,86,1.399,88,1.16,90,0.875,93,1.265,94,0.91,95,0.95,96,0.12,97,0.586,100,0.319,101,1.399,104,1.105,109,0.715,113,1.743,114,2.446,115,0.586,122,0.822,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.023,130,0.016,131,0.016,132,0.12,133,0.016,134,0.016,135,0.016,136,0.016,160,0.623,162,1.775,163,1.214,166,0.787,167,1.555,175,1.276,177,0.787,180,2.776,181,2.776,182,2.776,183,3.796,184,2.776,185,1.465,186,1.963,187,2.776,188,3.899,189,3.796,190,2.776,191,2.776,192,2.776,193,2.446,196,1.692,201,1.302,202,3.129,206,0.865,244,0.59,267,2.293,276,1.978,291,1.465,361,1.004,364,1.155,378,2.446,379,0.855,392,3.207,406,1.334,469,1.399,471,0.787,473,1.265,474,1.978,486,1.555,494,3.217,503,0.237,506,0.95,507,1.963,508,1.044,526,0.865,559,0.95,560,1.555,561,1.611,562,1.978,564,1.743,565,1.004,566,1.044,577,0.715,583,3.217,608,3.662,618,1.399,680,2.292,681,3.888,682,2.77,683,2.77,684,2.77,685,2.77,686,2.77,687,2.77,688,2.77,689,2.77,690,2.293,691,1.148,692,2.77,693,1.265,694,1.105,695,3.506,696,4.87,697,1.555,698,2.264,699,2.776,700,2.77,701,3.506,702,2.018,703,2.77,704,3.888,705,2.776,706,1.611,707,1.004,708,1.772,709,1.044,710,2.77,711,2.77,712,1.978,713,2.77,714,2.77,715,2.776,716,2.293,717,3.217,718,2.77,719,2.77,720,1.978,721,3.888,722,2.293,723,2.826,724,3.345,725,2.77,726,2.776,727,3.717,728,2.521,729,2.293,730,2.293,731,2.77,732,2.77,733,2.77,734,2.293,735,2.77,736,1.148,737,2.77,738,2.77,739,1.743,740,2.77,741,4.87,742,4.87,743,4.87,744,4.87,745,4.03,746,2.293,747,2.77,748,2.77,749,2.293,750,1.978,751,0.95,752,2.293,753,1.555,754,2.77,755,2.77,756,2.59,757,2.77,758,3.717,759,1.399,760,2.77,761,2.77,762,2.446,763,2.77,764,3.888,765,2.77,766,2.77,767,2.77,768,2.77,769,2.77,770,2.77,771,2.293,772,2.77,773,2.182,774,2.77,775,2.77,776,2.77,777,2.77,778,2.293,779,2.77,780,2.776,781,2.293,782,4.244,783,2.293,784,2.776,785,1.978,786,3.888,787,0.865,788,2.77,789,1.978,790,2.293,791,1.978,792,1.743,793,2.77,794,2.293,795,2.77,796,3.217,797,2.77,798,3.217,799,2.293,800,2.77,801,2.77]],["t/4",[39,0.023]],["b/4",[1,0.026,2,0.185,3,0.02,4,0.057,5,0.014,6,0.014,7,0.037,8,0.027,9,0.014,10,0.014,11,0.014,12,0.014,13,0.014,14,0.024,15,0.014,16,0.346,17,0.03,18,0.029,19,0.03,20,0.032,21,0.107,22,0.13,23,0.027,24,0.014,25,0.087,26,0.082,27,0.014,28,0.014,29,0.014,30,0.338,31,0.02,32,0.027,33,0.014,34,0.02,35,0.014,36,0.023,37,0.027,38,0.014,39,0.023,40,0.014,41,0.014,42,0.014,43,0.014,44,0.043,45,0.043,46,0.043,47,0.063,48,0.073,49,0.073,50,0.073,51,0.043,52,0.073,53,1.07,58,1.316,61,0.819,62,0.102,70,1.064,80,1.205,82,1.704,85,0.678,86,1.205,90,0.776,94,0.558,95,0.962,96,0.21,97,0.739,98,1.198,100,0.169,102,0.454,104,0.678,108,0.678,118,1.205,122,0.505,124,0.014,125,0.014,126,0.014,127,0.014,128,0.014,129,0.014,130,0.014,131,0.014,132,0.104,133,0.014,134,0.014,135,0.014,136,0.014,138,0.362,145,0.989,149,0.819,152,0.967,158,1.975,160,0.409,163,0.745,164,0.745,165,0.32,170,1.205,173,1.764,176,0.678,195,0.787,201,1.07,202,2.32,217,0.616,244,0.735,248,0.899,250,1.205,256,1.712,270,1.887,275,1.887,313,0.899,319,0.989,344,1.09,362,0.899,363,1.961,364,0.739,370,1.501,405,1.501,406,1.198,439,1.704,445,0.819,446,1.975,448,2.891,449,1.339,467,1.501,497,0.505,500,1.975,503,0.299,506,0.962,508,0.899,518,0.745,526,0.745,527,1.975,553,0.616,554,1.09,564,1.501,565,0.902,577,1.174,624,0.989,630,2.086,632,0.989,636,1.316,691,1.712,694,1.174,698,1.557,707,0.616,708,1.522,709,1.906,751,1.198,759,1.205,798,1.975,802,2.386,803,2.386,804,2.386,805,2.385,806,2.386,807,3.493,808,2.386,809,2.494,810,2.386,811,2.386,812,0.678,813,2.891,814,1.975,815,1.501,816,2.32,817,3.493,818,1.704,819,1.704,820,2.494,821,2.386,822,2.891,823,0.745,824,0.433,825,0.64,826,1.975,827,1.254,828,1.975,829,1.501,830,1.975,831,2.386,832,1.975,833,1.975,834,1.975,835,1.975,836,1.975,837,1.975,838,1.975,839,1.975,840,1.975,841,1.975,842,1.975,843,1.975,844,3.493,845,1.975,846,1.975,847,1.975,848,4.841,849,2.386,850,2.386,851,3.493,852,4.132,853,2.386,854,3.493,855,2.386,856,2.386,857,2.386,858,2.386,859,2.386,860,2.386,861,1.975,862,2.386,863,2.386,864,2.386,865,2.386,866,2.386,867,2.386,868,2.386,869,1.417,870,1.975,871,2.386,872,2.386,873,2.386,874,2.386,875,2.386,876,1.105,877,1.339,878,2.386,879,1.595,880,1.205,881,1.632,882,1.704,883,4.132,884,2.386,885,2.386,886,2.386,887,2.386,888,2.386,889,0.819,890,1.447,891,1.975,892,0.922,893,1.975,894,2.386,895,2.386,896,2.386,897,2.386,898,2.386,899,0.902,900,0.899,901,1.975,902,1.09,903,2.386,904,2.386,905,2.21,906,2.386,907,1.885,908,2.386,909,2.386,910,4.132,911,3.493,912,1.704,913,2.086,914,1.205,915,1.975,916,1.975,917,2.891,918,0.993,919,1.975,920,1.501,921,1.704,922,2.386,923,2.386,924,2.386,925,2.386,926,1.975,927,4.132,928,1.205,929,1.975,930,2.386,931,2.386,932,1.205,933,1.09,934,2.386,935,2.386,936,2.095,937,2.891,938,1.447,939,1.704,940,2.386,941,1.557,942,2.21,943,4.841,944,1.205,945,1.501,946,1.975,947,2.494,948,2.386,949,1.501,950,1.961,951,2.386,952,2.386,953,1.595,954,1.764,955,2.494,956,1.764,957,2.494,958,2.494,959,2.494,960,1.25,961,1.961,962,2.386,963,1.501,964,2.553,965,2.933,966,2.494,967,2.6,968,2.494,969,1.501,970,2.386,971,3.181,972,3.493,973,2.904,974,3.757,975,3.493,976,3.493,977,3.493,978,1.447,979,2.386,980,2.386,981,2.494,982,2.891,983,1.975,984,2.386,985,2.386,986,2.386,987,1.975,988,3.493,989,3.493,990,3.493,991,1.975,992,1.501,993,4.132,994,1.975,995,2.95,996,1.704,997,2.386,998,4.548,999,2.386,1000,1.501,1001,1.339,1002,2.386,1003,3.493,1004,2.386,1005,0.989,1006,2.386,1007,1.704,1008,2.386,1009,1.975,1010,1.975,1011,2.494,1012,3.493,1013,1.975,1014,2.386,1015,1.975,1016,2.386,1017,0.616,1018,2.386,1019,1.975,1020,1.975,1021,2.95,1022,2.386,1023,2.891,1024,2.386,1025,1.704,1026,1.975,1027,3.493,1028,2.198,1029,1.975,1030,1.975,1031,1.205,1032,1.975,1033,2.198,1034,2.386,1035,2.386,1036,3.764,1037,1.205,1038,2.386,1039,1.704,1040,3.493,1041,1.975,1042,2.386,1043,1.975,1044,0.989,1045,2.198,1046,1.975,1047,2.386,1048,2.386,1049,3.493,1050,2.386,1051,2.386,1052,3.493,1053,2.891,1054,2.386,1055,2.386,1056,1.339,1057,4.132,1058,1.09,1059,2.386,1060,2.386,1061,2.891,1062,4.132,1063,2.386,1064,1.704,1065,1.501,1066,2.494,1067,3.493,1068,1.975,1069,1.09,1070,1.704,1071,2.386,1072,1.704,1073,2.386,1074,2.386,1075,2.386,1076,2.386,1077,4.841,1078,3.493,1079,3.493,1080,3.493,1081,1.975,1082,0.902,1083,2.386,1084,1.961,1085,0.819,1086,2.386,1087,2.198,1088,2.386,1089,0.899,1090,2.386,1091,2.386,1092,2.386,1093,2.386,1094,2.386,1095,1.501,1096,2.386,1097,2.386,1098,1.501,1099,1.557,1100,1.501,1101,2.494,1102,1.961,1103,1.961,1104,1.704,1105,1.704,1106,0.745,1107,0.989,1108,2.386,1109,0.989,1110,1.704,1111,2.386,1112,2.386,1113,1.704,1114,1.501,1115,1.339,1116,1.205,1117,1.961,1118,1.704,1119,1.704,1120,2.386,1121,1.595,1122,0.899,1123,1.09,1124,1.316,1125,2.386,1126,1.704,1127,2.386,1128,3.493,1129,2.386,1130,1.975,1131,2.386,1132,1.339,1133,2.386]],["t/5",[41,0.02,1134,2.475]],["b/5",[1,0.016,2,0.169,3,0.022,4,0.063,5,0.016,6,0.016,7,0.037,8,0.026,9,0.016,10,0.016,11,0.016,12,0.016,13,0.016,14,0.016,15,0.016,16,0.302,17,0.016,18,0.016,19,0.016,20,0.033,21,0.116,22,0.126,23,0.031,24,0.016,25,0.079,26,0.063,27,0.016,28,0.016,29,0.016,30,0.352,31,0.016,32,0.022,33,0.016,34,0.016,35,0.016,36,0.016,37,0.023,38,0.023,39,0.016,40,0.016,41,0.026,42,0.03,43,0.016,44,0.05,45,0.05,46,0.05,47,0.07,48,0.085,49,0.085,50,0.085,51,0.05,52,0.085,58,1.05,62,0.1,63,1.989,80,1.407,85,0.792,93,1.272,95,0.589,96,0.242,100,0.32,108,0.373,115,0.826,123,2.456,124,0.016,125,0.016,126,0.016,127,0.016,128,0.016,129,0.016,130,0.016,131,0.016,132,0.121,133,0.016,134,0.016,135,0.016,136,0.016,138,0.423,160,0.457,163,1.407,164,0.87,165,0.373,168,1.407,173,1.407,174,0.792,176,0.792,195,0.743,201,1.087,206,1.605,217,1.327,252,2.306,283,1.407,313,1.05,379,0.531,406,0.956,415,2.306,442,1.564,497,1.127,502,2.306,506,1.087,508,1.05,550,1.753,567,1.525,577,1.163,629,1.564,632,1.155,638,1.753,697,1.564,707,0.719,708,1.514,709,1.471,715,1.989,736,1.155,746,2.306,751,1.546,759,1.971,783,2.306,787,1.219,812,0.792,819,1.989,823,0.87,824,0.456,825,0.602,826,2.306,827,1.328,828,2.306,829,1.753,830,2.306,870,3.231,877,1.564,889,0.956,892,0.743,899,1.163,900,1.05,901,2.306,902,1.272,907,1.155,918,1.109,939,1.989,949,1.753,961,1.564,1009,2.306,1017,0.719,1036,2.306,1056,1.564,1070,2.787,1089,1.471,1107,1.618,1121,1.783,1122,1.471,1123,1.783,1124,1.05,1126,2.787,1134,3.67,1135,2.787,1136,2.787,1137,2.787,1138,2.787,1139,2.787,1140,2.787,1141,2.306,1142,1.753,1143,1.05,1144,0.652,1145,2.787,1146,2.787,1147,4.882,1148,2.787,1149,3.904,1150,2.787,1151,2.787,1152,2.787,1153,2.787,1154,2.787,1155,2.787,1156,2.787,1157,2.787,1158,3.231,1159,2.787,1160,2.787,1161,3.904,1162,2.787,1163,2.787,1164,2.787,1165,2.787,1166,2.787,1167,2.787,1168,1.564,1169,2.787,1170,2.787,1171,3.904,1172,2.306,1173,2.787,1174,2.306,1175,1.989,1176,2.787,1177,2.787,1178,2.787,1179,2.787,1180,4.506,1181,2.787,1182,2.787,1183,2.787,1184,2.787,1185,3.217,1186,1.971,1187,3.904,1188,2.787,1189,3.729,1190,4.506,1191,2.787,1192,2.787,1193,2.787,1194,2.456,1195,2.787,1196,2.306,1197,2.787,1198,2.787,1199,2.787,1200,2.787,1201,2.787,1202,2.787,1203,2.787,1204,2.787,1205,2.787,1206,2.787,1207,2.787,1208,2.787,1209,2.787,1210,1.675,1211,2.787,1212,2.787,1213,2.787,1214,2.787,1215,2.787,1216,2.787,1217,2.787,1218,2.787,1219,1.564,1220,2.787,1221,2.787,1222,1.989,1223,2.787,1224,2.787,1225,2.787,1226,2.787,1227,2.787,1228,2.787,1229,2.306,1230,1.155,1231,2.306,1232,1.753,1233,2.306,1234,3.904,1235,3.904,1236,2.787,1237,2.787,1238,1.989,1239,3.729,1240,1.05,1241,2.835,1242,5.328,1243,2.787,1244,2.787,1245,3.904,1246,1.989,1247,2.787,1248,2.787,1249,2.787,1250,2.787,1251,0.956,1252,2.787,1253,2.306,1254,2.787,1255,2.306,1256,2.787,1257,2.787,1258,2.787,1259,2.787,1260,2.787,1261,2.787,1262,2.306,1263,2.787,1264,2.787,1265,2.787,1266,2.787,1267,2.787,1268,2.787,1269,2.787,1270,2.787,1271,2.787,1272,2.787,1273,2.787,1274,2.787,1275,2.787,1276,2.787,1277,2.787,1278,2.787,1279,2.787,1280,2.787,1281,2.787,1282,2.787,1283,2.787,1284,2.787,1285,2.787,1286,2.787,1287,2.787,1288,2.787,1289,2.787,1290,2.787,1291,2.787,1292,2.787,1293,2.787,1294,2.787,1295,2.787,1296,2.787,1297,2.787,1298,2.787,1299,2.787,1300,2.787,1301,3.231,1302,2.787,1303,2.787,1304,2.787,1305,2.787,1306,2.787,1307,2.787,1308,2.787,1309,2.787,1310,2.787,1311,2.787,1312,2.787,1313,2.787,1314,2.787,1315,2.787,1316,2.787,1317,2.787,1318,2.787,1319,2.787,1320,2.787,1321,2.787,1322,2.787,1323,2.787,1324,2.787,1325,2.787,1326,2.787,1327,2.787,1328,2.787,1329,2.787,1330,2.787,1331,2.787,1332,2.787,1333,2.787,1334,2.787,1335,2.787,1336,2.787,1337,2.787,1338,2.787,1339,2.787,1340,2.787,1341,2.787,1342,2.787,1343,2.787,1344,2.787,1345,2.787,1346,2.787,1347,2.787,1348,2.787,1349,2.787,1350,2.787,1351,2.787,1352,1.339,1353,1.28,1354,2.306,1355,2.306,1356,1.753,1357,2.007,1358,2.787,1359,2.306,1360,1.989,1361,1.867,1362,2.787,1363,2.787,1364,2.787,1365,2.456,1366,2.306,1367,3.904,1368,1.989,1369,3.231,1370,2.787,1371,3.231,1372,3.904,1373,2.306,1374,3.904,1375,3.231,1376,2.787,1377,3.904,1378,3.217,1379,3.904,1380,2.306,1381,2.787,1382,1.753,1383,1.989,1384,1.564,1385,1.564,1386,2.306,1387,3.231,1388,2.456,1389,2.787,1390,3.904,1391,3.904,1392,3.904,1393,2.787,1394,2.456,1395,2.306,1396,2.787,1397,2.787,1398,2.191,1399,1.989,1400,1.989,1401,2.787,1402,2.787,1403,2.787,1404,2.787,1405,3.904,1406,2.306,1407,2.787,1408,1.989,1409,1.971,1410,2.787,1411,2.191,1412,3.904,1413,2.787,1414,2.787,1415,2.787,1416,2.787,1417,3.904,1418,2.456,1419,2.787,1420,2.787,1421,2.306,1422,0.956,1423,2.787,1424,3.904,1425,2.787,1426,2.787,1427,2.456,1428,2.787,1429,1.753,1430,2.787,1431,2.787,1432,2.787,1433,2.787,1434,2.787,1435,2.787,1436,2.306,1437,2.787,1438,1.407]],["t/6",[2,0.104,43,0.017,1439,2.486]],["b/6",[0,2.667,1,0.025,2,0.205,3,0.025,4,0.077,5,0.015,6,0.022,7,0.036,8,0.028,9,0.015,10,0.015,11,0.021,12,0.025,13,0.026,14,0.015,15,0.015,16,0.312,17,0.015,18,0.015,19,0.015,20,0.025,21,0.112,22,0.112,23,0.025,24,0.015,25,0.081,26,0.061,27,0.015,28,0.015,29,0.015,30,0.347,31,0.015,32,0.015,33,0.015,34,0.015,35,0.015,36,0.027,37,0.022,38,0.022,39,0.015,40,0.015,41,0.015,42,0.015,43,0.025,44,0.047,45,0.047,46,0.047,47,0.067,48,0.08,49,0.08,50,0.08,51,0.047,52,0.08,53,0.79,58,0.987,62,0.094,70,0.613,76,1.47,77,1.87,85,0.744,88,0.676,89,1.085,90,0.447,94,0.613,96,0.252,97,1.004,98,0.898,101,1.322,105,1.322,108,0.584,109,0.964,110,2.097,115,0.79,118,1.322,121,1.746,122,1.162,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.015,130,0.015,131,0.015,132,0.114,133,0.015,134,0.015,135,0.015,136,0.015,138,0.397,145,1.085,149,0.898,152,0.613,157,2.167,163,0.818,164,0.818,165,0.501,174,0.744,175,1.561,177,1.349,186,2.398,195,0.499,196,1.789,197,1.36,217,1.387,232,1.87,244,0.567,253,1.47,263,1.47,276,3.727,282,2.35,283,1.322,293,0.987,360,1.87,361,0.676,364,1.104,379,0.499,388,2.167,391,1.47,404,1.886,439,3.109,445,1.281,471,1.062,473,1.196,479,1.322,497,0.554,503,0.224,506,1.137,526,1.568,544,1.706,561,1.548,565,0.676,566,1.408,571,2.167,575,1.647,577,0.676,578,1.47,580,2.167,628,2.167,629,1.47,630,2.199,637,2.167,640,2.167,641,2.167,643,1.647,656,2.167,680,0.987,690,2.167,694,1.062,698,1.892,701,2.35,706,1.548,708,1.427,717,2.167,722,2.167,723,2.35,726,1.87,736,1.548,739,1.647,751,1.281,756,1.322,773,1.47,778,2.167,780,3.109,782,3.604,785,1.87,787,0.818,790,3.092,791,1.87,799,3.93,812,0.744,824,0.224,825,0.556,827,1.019,869,0.898,877,1.47,892,1.023,893,4.155,899,1.226,912,1.87,938,1.085,939,1.87,942,1.706,960,1.226,992,2.35,1001,2.445,1037,1.322,1043,2.167,1056,2.445,1058,1.196,1065,1.647,1066,1.87,1069,1.196,1082,0.676,1085,1.494,1089,0.987,1098,1.647,1099,1.408,1106,1.36,1109,1.085,1121,1.196,1122,0.987,1123,1.196,1168,1.47,1174,2.167,1177,1.87,1185,2.667,1210,0.898,1232,2.35,1251,0.898,1255,2.167,1262,2.167,1352,1.494,1360,1.87,1378,2.667,1383,2.667,1408,1.87,1409,1.886,1411,1.47,1439,3.092,1440,2.167,1441,2.619,1442,2.619,1443,2.619,1444,2.988,1445,2.619,1446,2.619,1447,2.167,1448,2.167,1449,2.619,1450,3.092,1451,2.167,1452,2.619,1453,3.092,1454,3.736,1455,3.736,1456,2.619,1457,2.619,1458,2.619,1459,3.736,1460,3.736,1461,4.355,1462,5.021,1463,4.355,1464,4.355,1465,4.749,1466,4.355,1467,4.355,1468,4.355,1469,4.355,1470,4.355,1471,4.749,1472,4.749,1473,4.749,1474,4.749,1475,4.749,1476,4.355,1477,4.355,1478,4.749,1479,4.749,1480,4.355,1481,3.736,1482,3.736,1483,3.736,1484,4.355,1485,4.355,1486,2.619,1487,2.619,1488,2.619,1489,3.736,1490,2.619,1491,2.619,1492,2.619,1493,2.167,1494,3.092,1495,2.619,1496,2.619,1497,2.619,1498,2.619,1499,3.736,1500,2.619,1501,2.619,1502,3.736,1503,2.167,1504,2.619,1505,2.619,1506,2.619,1507,2.167,1508,3.93,1509,2.619,1510,2.619,1511,1.87,1512,3.736,1513,5.494,1514,2.619,1515,2.667,1516,2.619,1517,2.167,1518,2.167,1519,1.87,1520,2.667,1521,3.736,1522,5.035,1523,5.021,1524,2.619,1525,5.021,1526,3.736,1527,2.619,1528,2.619,1529,2.619,1530,2.619,1531,2.619,1532,2.619,1533,1.87,1534,3.736,1535,2.667,1536,3.736,1537,2.988,1538,2.619,1539,2.619,1540,3.736,1541,2.619,1542,2.619,1543,2.619,1544,1.87,1545,3.604,1546,1.886,1547,1.647,1548,1.87,1549,2.619,1550,1.706,1551,2.167,1552,2.619,1553,1.87,1554,3.736,1555,2.619,1556,4.355,1557,2.619,1558,2.619,1559,2.167,1560,2.167,1561,2.619,1562,2.619,1563,2.35,1564,2.619,1565,2.619,1566,2.619,1567,2.619,1568,2.619,1569,2.619,1570,2.619,1571,2.619,1572,2.619,1573,2.619,1574,2.619,1575,3.736,1576,2.619,1577,2.619,1578,2.619,1579,2.619,1580,2.619,1581,2.619,1582,2.619,1583,2.619,1584,2.619,1585,2.619,1586,1.87,1587,2.619,1588,2.619,1589,2.168,1590,2.619,1591,2.619,1592,2.619,1593,2.619,1594,2.167,1595,2.619,1596,2.619,1597,2.619,1598,2.619,1599,2.619,1600,2.619,1601,2.167,1602,1.87,1603,1.408,1604,3.109,1605,2.619,1606,2.35,1607,3.092,1608,1.886,1609,3.092,1610,2.097,1611,2.619,1612,4.447,1613,2.619,1614,4.546,1615,2.619,1616,1.281,1617,1.196,1618,2.619,1619,2.667,1620,1.647,1621,2.619,1622,2.619,1623,2.167,1624,1.87,1625,2.619,1626,3.109,1627,2.619,1628,1.196,1629,2.619,1630,2.097,1631,1.647,1632,2.167,1633,4.321,1634,2.167,1635,3.092,1636,3.736,1637,3.736,1638,2.619,1639,1.47,1640,1.47,1641,2.619,1642,2.619,1643,2.619,1644,2.167,1645,2.619,1646,2.619,1647,2.619,1648,2.619,1649,2.619,1650,2.619,1651,2.619,1652,2.619,1653,2.619,1654,1.87,1655,2.167,1656,1.647,1657,2.619,1658,2.667,1659,2.619,1660,2.619,1661,2.619,1662,3.736,1663,2.619,1664,2.619,1665,2.167,1666,1.47,1667,1.87,1668,2.619,1669,2.619,1670,2.619,1671,2.619,1672,2.619,1673,2.619,1674,2.619]],["t/7",[40,0.023]],["b/7",[1,0.015,2,0.205,3,0.021,4,0.071,5,0.015,6,0.015,7,0.037,8,0.028,9,0.015,10,0.015,11,0.028,12,0.028,13,0.026,14,0.022,15,0.015,16,0.296,17,0.021,18,0.015,19,0.015,20,0.021,21,0.112,22,0.139,23,0.028,24,0.015,25,0.077,26,0.061,27,0.015,28,0.015,29,0.015,30,0.347,31,0.021,32,0.025,33,0.015,34,0.021,35,0.021,36,0.03,37,0.026,38,0.022,39,0.015,40,0.031,41,0.015,42,0.015,43,0.015,44,0.067,45,0.047,46,0.047,47,0.067,48,0.08,49,0.114,50,0.08,51,0.047,52,0.08,62,0.096,70,0.613,82,1.87,85,1.238,88,0.676,89,1.085,93,1.196,96,0.249,97,0.79,98,1.629,100,0.337,101,1.322,102,0.829,108,0.72,109,1.124,114,1.647,115,0.921,121,0.818,122,0.921,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.022,130,0.015,131,0.015,132,0.114,133,0.015,134,0.015,135,0.015,136,0.015,138,0.397,149,1.281,152,1.019,154,1.647,163,1.36,164,1.36,165,0.584,171,1.87,175,1.062,176,1.062,177,1.238,195,0.499,197,0.818,200,1.085,201,0.79,217,0.964,244,0.721,247,1.87,248,0.987,270,1.706,275,1.196,283,1.322,284,1.085,291,1.408,292,1.886,293,1.408,313,1.408,319,1.085,338,1.87,344,1.196,349,2.667,364,1.137,379,0.711,387,2.167,391,2.097,400,1.87,445,0.898,497,0.554,503,0.32,518,0.818,526,1.167,544,1.196,552,1.196,553,1.296,554,1.196,558,2.167,559,1.281,565,0.964,566,0.987,572,2.167,573,1.647,577,1.348,578,1.47,618,1.886,631,1.322,632,1.085,643,1.647,680,1.408,694,1.238,697,3.016,698,1.789,701,2.988,705,1.87,706,1.548,708,1.684,712,1.87,720,1.87,723,1.647,724,1.647,739,1.647,751,1.281,787,1.483,792,1.647,809,2.667,812,1.062,824,0.224,825,0.307,869,1.281,876,0.554,877,2.445,879,1.196,881,1.36,889,0.898,892,1.08,899,1.348,902,1.196,918,1.238,932,1.322,933,1.706,936,1.548,944,1.322,960,0.964,973,1.886,992,1.647,1000,1.647,1005,1.085,1017,0.676,1031,1.322,1044,1.805,1046,2.167,1056,1.47,1058,1.196,1081,2.167,1082,0.676,1099,0.987,1106,0.818,1144,0.613,1168,1.47,1185,1.87,1224,1.87,1230,1.085,1231,2.167,1238,1.87,1352,1.494,1357,1.408,1361,1.085,1378,1.87,1384,1.47,1398,1.47,1409,1.322,1411,2.097,1422,0.898,1429,1.647,1440,2.167,1444,2.74,1447,2.167,1451,2.167,1453,2.167,1494,2.167,1507,2.167,1517,2.167,1518,2.167,1519,1.87,1520,1.87,1522,2.167,1535,1.87,1537,2.35,1546,1.322,1547,2.35,1550,1.196,1589,1.196,1601,2.167,1603,1.892,1604,3.109,1606,1.647,1607,2.167,1608,1.322,1609,2.167,1610,1.47,1612,4.546,1614,4.447,1616,1.629,1619,1.87,1620,1.647,1623,2.167,1624,2.667,1628,1.706,1630,2.445,1633,4.546,1635,3.092,1640,1.47,1655,2.167,1675,2.619,1676,2.619,1677,2.619,1678,2.619,1679,2.619,1680,2.619,1681,2.619,1682,2.619,1683,2.619,1684,2.619,1685,2.619,1686,2.167,1687,2.619,1688,2.619,1689,2.619,1690,2.619,1691,2.619,1692,4.355,1693,4.355,1694,4.355,1695,5.221,1696,4.355,1697,4.749,1698,4.355,1699,5.221,1700,4.355,1701,4.355,1702,4.355,1703,4.355,1704,4.355,1705,4.355,1706,4.355,1707,4.355,1708,4.749,1709,2.619,1710,2.619,1711,3.736,1712,2.167,1713,2.619,1714,1.87,1715,2.619,1716,2.167,1717,2.167,1718,2.167,1719,2.167,1720,2.167,1721,2.167,1722,2.167,1723,2.619,1724,2.619,1725,2.619,1726,2.619,1727,2.619,1728,2.619,1729,2.619,1730,2.167,1731,2.619,1732,3.092,1733,1.47,1734,2.619,1735,2.619,1736,2.167,1737,2.167,1738,1.87,1739,2.619,1740,2.619,1741,2.619,1742,2.619,1743,2.619,1744,2.619,1745,2.619,1746,2.619,1747,2.619,1748,2.619,1749,2.619,1750,2.619,1751,2.619,1752,2.619,1753,2.619,1754,2.619,1755,2.619,1756,2.619,1757,2.619,1758,2.619,1759,2.619,1760,2.619,1761,2.619,1762,2.619,1763,2.619,1764,2.619,1765,2.619,1766,2.619,1767,2.619,1768,2.619,1769,2.619,1770,1.87,1771,2.619,1772,1.87,1773,2.619,1774,1.886,1775,2.619,1776,2.619,1777,2.167,1778,1.87,1779,2.667,1780,2.619,1781,2.619,1782,2.619,1783,2.619,1784,2.619,1785,2.619,1786,2.619,1787,2.167,1788,3.092,1789,2.167,1790,2.619,1791,1.196,1792,2.619,1793,3.736,1794,4.355,1795,3.736,1796,4.355,1797,2.619,1798,2.619,1799,2.619,1800,2.619,1801,2.619,1802,2.619,1803,4.355,1804,2.167,1805,2.619,1806,2.619,1807,2.619,1808,1.322,1809,2.619,1810,3.736,1811,2.619,1812,3.736,1813,3.736,1814,2.619,1815,2.619,1816,3.736,1817,2.619,1818,3.736,1819,1.87,1820,2.619,1821,2.619,1822,2.619,1823,1.87,1824,2.167,1825,2.988,1826,3.092,1827,2.167,1828,1.87,1829,2.619,1830,2.619,1831,2.619,1832,3.092,1833,2.167,1834,2.619,1835,2.619,1836,2.619,1837,1.196,1838,2.619,1839,1.196,1840,2.619,1841,2.619,1842,2.619,1843,2.619,1844,2.167,1845,2.619,1846,2.619,1847,4.355,1848,1.805,1849,2.167,1850,2.619,1851,2.619,1852,2.619,1853,2.619,1854,2.619,1855,2.167,1856,2.167,1857,3.092,1858,2.167,1859,2.619,1860,2.619,1861,2.619,1862,2.619,1863,2.167,1864,1.87,1865,2.619,1866,2.619,1867,2.619,1868,2.619,1869,2.619,1870,2.619,1871,2.619,1872,2.619,1873,2.619,1874,1.322,1875,2.167]],["t/8",[15,0.017,16,0.171,1005,1.245]],["b/8",[1,0.018,2,0.2,3,0.032,4,0.068,5,0.018,6,0.018,7,0.037,8,0.033,9,0.018,10,0.018,11,0.032,12,0.034,13,0.018,14,0.018,15,0.027,16,0.346,17,0.024,18,0.018,19,0.018,20,0.018,21,0.123,22,0.132,23,0.027,24,0.018,25,0.083,26,0.068,27,0.018,28,0.018,29,0.018,30,0.361,31,0.018,32,0.024,33,0.018,34,0.018,35,0.018,36,0.018,37,0.028,38,0.025,39,0.018,40,0.018,41,0.018,42,0.018,43,0.018,44,0.055,45,0.055,46,0.055,47,0.075,48,0.094,49,0.094,50,0.094,51,0.055,52,0.094,62,0.101,88,0.797,90,0.909,94,0.723,95,1.128,96,0.207,97,0.886,98,1.437,100,0.338,102,0.588,103,2.205,104,1.191,110,1.734,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.134,133,0.018,134,0.018,135,0.018,136,0.018,138,0.469,160,0.557,166,0.878,174,0.878,175,1.515,176,0.878,177,1.515,195,0.588,201,1.27,244,0.809,247,2.992,248,1.164,284,1.736,361,1.082,370,1.943,378,1.943,379,0.971,399,2.205,442,1.734,449,2.352,450,2.205,451,2.556,453,3.936,454,3.936,455,4.413,456,4.551,457,4.413,458,3.936,459,3.936,460,4.221,461,4.551,462,3.396,463,2.556,464,1.734,465,2.556,466,2.556,467,1.943,471,0.878,473,1.41,480,1.943,503,0.265,506,0.653,508,1.164,559,1.75,565,0.797,627,2.556,644,1.56,680,1.792,694,0.878,702,1.736,707,0.797,708,1.695,709,1.164,712,2.205,724,1.943,728,1.734,753,1.734,756,1.56,773,1.734,796,2.556,819,2.205,824,0.408,825,0.597,829,2.636,869,1.632,876,0.653,879,2.172,881,0.965,891,2.556,912,2.205,913,1.56,914,2.116,918,0.878,938,1.28,944,1.56,953,1.41,954,2.116,956,1.56,960,1.228,961,1.734,978,1.28,1005,1.28,1011,2.992,1031,1.56,1044,1.28,1058,1.41,1099,1.579,1106,0.965,1134,2.205,1168,1.734,1177,2.205,1194,1.943,1230,2.114,1352,1.437,1520,2.992,1603,1.164,1604,2.205,1608,1.56,1686,2.556,1779,2.205,1876,3.089,1877,3.089,1878,3.089,1879,3.089,1880,3.089,1881,3.089,1882,2.556,1883,3.468,1884,2.205,1885,4.191,1886,3.089,1887,3.089,1888,3.089,1889,3.089,1890,3.468,1891,2.205,1892,4.191,1893,3.089,1894,4.191,1895,3.089,1896,2.205,1897,2.992,1898,1.734,1899,2.992,1900,3.089,1901,2.205,1902,3.089,1903,1.28,1904,1.56,1905,3.089,1906,3.089,1907,3.089,1908,3.089,1909,3.089,1910,4.31,1911,3.089,1912,3.936,1913,3.089,1914,3.468,1915,5.101,1916,2.556,1917,3.089,1918,3.089,1919,3.089,1920,1.943,1921,3.089,1922,3.089,1923,4.191,1924,3.089,1925,3.089,1926,3.089,1927,2.556,1928,3.089,1929,1.943,1930,3.089,1931,2.556,1932,3.089,1933,3.468,1934,3.468,1935,3.089,1936,4.191,1937,3.089,1938,3.089,1939,3.089,1940,2.556,1941,3.468,1942,2.205,1943,2.556,1944,2.205,1945,2.556,1946,3.089,1947,3.089,1948,3.089,1949,3.089,1950,2.556,1951,3.089,1952,3.089,1953,3.089,1954,3.089,1955,2.352,1956,3.089,1957,3.089,1958,3.089,1959,3.089,1960,3.089,1961,3.089,1962,2.556]],["t/9",[16,0.197,24,0.02]],["b/9",[1,0.032,2,0.209,3,0.028,4,0.079,5,0.023,6,0.023,7,0.036,8,0.028,9,0.023,10,0.023,11,0.028,12,0.028,13,0.023,14,0.029,15,0.022,16,0.333,17,0.028,18,0.022,19,0.028,20,0.022,21,0.137,22,0.144,23,0.028,24,0.028,25,0.086,26,0.079,27,0.022,28,0.023,29,0.023,30,0.379,31,0.022,32,0.022,33,0.022,34,0.022,35,0.022,36,0.022,37,0.029,38,0.023,39,0.022,40,0.022,41,0.022,42,0.023,43,0.022,44,0.07,45,0.07,46,0.07,47,0.087,48,0.119,49,0.119,50,0.119,51,0.07,52,0.119,53,0.824,58,1.468,62,0.087,72,2.451,76,2.737,88,1.006,90,0.664,96,0.212,102,0.742,104,1.386,121,1.217,122,1.126,124,0.023,125,0.023,126,0.023,127,0.023,128,0.023,129,0.023,130,0.023,131,0.023,132,0.169,133,0.023,134,0.023,135,0.023,136,0.023,145,2.206,160,0.456,165,0.522,170,1.967,185,1.468,186,2.688,244,0.74,270,1.779,291,2.006,414,3.224,442,2.187,503,0.456,508,1.468,553,1.006,565,1.374,566,1.468,577,1.006,694,1.386,698,1.468,708,1.512,756,1.967,771,3.224,812,1.386,816,2.187,818,2.782,823,1.217,824,0.418,869,1.97,876,1.031,879,2.227,880,2.688,881,1.217,892,0.742,936,2.021,941,1.468,942,2.431,944,1.967,960,1.006,1001,2.187,1005,2.021,1017,1.006,1082,1.006,1095,3.068,1107,1.614,1229,3.224,1240,1.838,1586,3.482,1616,1.97,1722,3.224,1733,2.187,1808,1.967,1904,2.462,1963,3.896,1964,3.896,1965,3.896,1966,3.896,1967,3.896,1968,3.896,1969,4.036,1970,5.323,1971,3.896,1972,3.896,1973,3.896,1974,3.896,1975,3.896,1976,3.896,1977,3.896,1978,3.224,1979,2.782,1980,3.896,1981,3.896,1982,4.036,1983,3.896,1984,3.896,1985,3.896,1986,3.224,1987,3.224,1988,2.451,1989,3.896,1990,3.896,1991,2.782,1992,2.782,1993,3.896,1994,3.224,1995,1.614,1996,2.782,1997,2.782,1998,2.782]],["t/10",[16,0.197,21,0.089]],["b/10",[1,0.019,2,0.188,3,0.028,4,0.071,5,0.019,6,0.026,7,0.037,8,0.03,9,0.019,10,0.019,11,0.019,12,0.019,13,0.019,14,0.026,15,0.019,16,0.342,17,0.028,18,0.019,19,0.019,20,0.032,21,0.154,22,0.135,23,0.028,24,0.019,25,0.08,26,0.071,27,0.019,28,0.019,29,0.019,30,0.367,31,0.019,32,0.025,33,0.019,34,0.019,35,0.019,36,0.032,37,0.026,38,0.026,39,0.019,40,0.019,41,0.019,42,0.019,43,0.019,44,0.059,45,0.059,46,0.059,47,0.079,48,0.101,49,0.101,50,0.101,51,0.059,52,0.101,53,1.041,62,0.088,85,1.246,90,0.84,96,0.228,98,1.134,100,0.311,102,0.835,105,1.669,108,0.588,115,0.699,121,1.37,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.144,133,0.019,134,0.019,135,0.019,136,0.019,138,0.502,152,0.774,160,0.387,165,0.588,170,1.669,174,0.939,185,1.976,196,1.246,244,0.502,256,2.04,262,2.08,275,1.51,284,1.37,344,1.51,361,0.853,362,1.246,378,2.08,379,0.629,429,2.736,471,0.939,503,0.376,506,0.699,507,1.669,517,1.669,518,1.37,544,1.51,554,1.51,559,1.134,561,1.37,565,1.132,567,1.032,577,0.853,636,1.246,644,1.669,709,1.653,762,2.08,789,2.36,812,1.246,823,1.032,824,0.449,825,0.639,827,1.227,876,0.699,880,1.669,881,1.537,889,1.134,892,0.937,899,1.409,900,1.246,905,2.003,907,1.818,918,0.939,928,1.669,936,1.37,944,1.669,953,2.491,954,2.215,955,3.132,956,2.215,957,3.132,958,3.132,959,3.132,960,1.132,961,2.462,982,2.736,1005,1.818,1017,0.853,1023,2.736,1026,2.736,1033,2.759,1045,2.08,1058,1.51,1061,3.63,1069,1.51,1082,0.853,1084,2.763,1089,1.246,1095,2.08,1102,1.856,1103,1.856,1107,2.408,1115,1.856,1116,1.669,1117,1.856,1122,1.246,1124,1.246,1143,1.246,1144,0.774,1222,2.36,1232,2.08,1240,1.653,1251,1.134,1353,0.939,1357,1.653,1361,1.818,1382,2.08,1384,2.763,1388,2.08,1394,2.08,1406,2.736,1418,2.08,1422,1.134,1438,1.669,1550,2.003,1559,2.736,1617,1.51,1791,1.51,1804,2.736,1808,1.669,1896,2.36,1903,1.37,1944,2.36,1945,2.736,1991,2.36,1992,2.36,1995,1.37,1996,3.132,1997,3.515,1998,3.132,1999,2.08,2000,3.306,2001,3.306,2002,3.306,2003,3.306,2004,3.306,2005,1.856,2006,2.736,2007,2.36,2008,3.306,2009,3.306,2010,3.306,2011,2.36,2012,3.306,2013,2.36,2014,3.306,2015,3.306,2016,3.306,2017,3.306,2018,3.306,2019,3.306,2020,3.63,2021,3.306,2022,2.736,2023,3.306,2024,4.386,2025,2.736,2026,2.36,2027,2.36,2028,2.736,2029,2.36,2030,3.306,2031,3.306,2032,4.386,2033,3.306,2034,4.386,2035,3.306,2036,4.386,2037,3.306,2038,3.306,2039,3.306,2040,3.306,2041,3.306,2042,3.306,2043,3.306,2044,2.08,2045,3.306,2046,3.306,2047,3.306,2048,3.306,2049,3.306,2050,3.306,2051,3.306,2052,2.08,2053,3.306,2054,3.515,2055,2.36,2056,3.306,2057,2.36,2058,2.36,2059,2.36,2060,3.306,2061,3.306,2062,4.386,2063,3.306,2064,3.306,2065,2.736,2066,2.736,2067,3.306,2068,3.306,2069,2.36,2070,3.306,2071,2.36,2072,3.306,2073,2.36,2074,4.386,2075,3.306,2076,3.306,2077,3.306,2078,1.51,2079,3.306,2080,3.306,2081,3.306,2082,3.306,2083,3.306,2084,3.306,2085,3.306,2086,3.306,2087,3.306,2088,3.132,2089,4.386,2090,3.306,2091,3.306,2092,3.306,2093,2.36,2094,3.306,2095,2.736,2096,2.736,2097,3.306]],["t/11",[16,0.171,21,0.077,22,0.077]],["b/11",[1,0.019,2,0.17,3,0.025,4,0.088,5,0.026,6,0.019,7,0.037,8,0.028,9,0.019,10,0.019,11,0.019,12,0.025,13,0.019,14,0.019,15,0.019,16,0.325,17,0.025,18,0.028,19,0.019,20,0.028,21,0.145,22,0.148,23,0.03,24,0.019,25,0.08,26,0.071,27,0.019,28,0.019,29,0.026,30,0.367,31,0.019,32,0.03,33,0.019,34,0.019,35,0.019,36,0.019,37,0.026,38,0.019,39,0.019,40,0.019,41,0.019,42,0.019,43,0.019,44,0.059,45,0.059,46,0.059,47,0.079,48,0.101,49,0.101,50,0.101,51,0.059,52,0.101,53,0.699,58,1.245,62,0.101,89,1.369,94,0.773,96,0.237,100,0.349,102,0.629,105,1.668,108,0.588,113,2.078,115,0.699,121,1.704,124,0.019,125,0.019,126,0.019,127,0.019,128,0.019,129,0.019,130,0.019,131,0.019,132,0.143,133,0.019,134,0.019,135,0.019,136,0.019,138,0.501,149,1.133,152,0.773,160,0.387,162,1.509,163,1.369,164,1.032,173,2.214,174,1.398,185,1.854,195,0.629,201,0.699,206,1.369,217,1.132,256,1.369,264,3.13,289,2.359,319,1.369,344,1.509,364,0.927,379,0.835,406,1.133,445,1.133,480,2.078,497,0.927,503,0.283,550,2.078,561,1.369,567,1.369,638,2.078,698,1.245,707,0.853,739,2.078,745,3.628,749,2.734,750,2.359,762,2.078,787,1.032,823,1.032,824,0.467,825,0.657,827,1.026,881,1.369,890,1.369,892,0.629,933,1.509,941,1.854,949,2.758,1005,1.369,1045,2.078,1058,1.509,1069,1.509,1082,0.853,1084,2.461,1100,2.078,1102,1.855,1103,1.855,1106,1.369,1107,2.039,1115,2.942,1116,1.668,1117,1.855,1124,1.245,1142,2.078,1143,1.854,1144,0.773,1186,2.214,1210,1.962,1239,2.734,1241,3.096,1247,2.359,1301,2.734,1352,1.133,1353,1.246,1356,2.758,1357,1.854,1359,2.734,1361,1.817,1366,2.734,1384,2.461,1385,1.855,1386,2.734,1388,2.078,1394,2.078,1418,2.078,1427,2.078,1493,4.072,1548,2.359,1628,1.509,1631,2.078,1640,1.855,1719,2.734,1774,1.668,1791,1.509,1823,2.359,1898,1.855,1904,2.485,1950,4.072,1991,2.359,1995,1.817,1996,3.13,1997,3.13,1998,3.13,2020,2.734,2026,3.13,2029,2.359,2052,2.078,2054,3.13,2057,2.359,2058,2.359,2059,2.359,2073,3.513,2078,1.509,2088,3.13,2093,3.513,2098,3.304,2099,3.304,2100,2.214,2101,3.304,2102,2.734,2103,2.734,2104,3.298,2105,2.359,2106,3.304,2107,3.304,2108,3.304,2109,3.304,2110,2.734,2111,3.304,2112,3.304,2113,3.304,2114,4.385,2115,3.304,2116,3.304,2117,3.304,2118,3.304,2119,3.304,2120,2.758,2121,3.304,2122,2.461,2123,2.461,2124,2.461,2125,2.762,2126,2.461,2127,2.461,2128,3.304,2129,1.855,2130,3.513,2131,3.304,2132,4.338,2133,3.304,2134,4.385,2135,5.242,2136,4.385,2137,4.385,2138,4.385,2139,3.304,2140,3.304,2141,3.304,2142,3.304,2143,2.359,2144,1.668,2145,2.734,2146,2.359,2147,3.304,2148,4.072,2149,3.304,2150,3.304,2151,3.304,2152,3.304,2153,3.304,2154,3.304,2155,3.304,2156,2.359,2157,3.304,2158,2.734,2159,3.304,2160,1.855,2161,2.734,2162,3.304,2163,2.359,2164,3.304,2165,4.385,2166,2.734,2167,3.304,2168,3.304,2169,2.359,2170,3.304,2171,3.304,2172,2.734,2173,3.304,2174,2.734,2175,3.304,2176,3.304,2177,3.304,2178,3.304,2179,4.385,2180,4.385,2181,2.734,2182,2.734,2183,3.628,2184,2.734,2185,3.304,2186,3.304,2187,2.734,2188,3.304,2189,3.304]],["t/12",[4,0.043,16,0.15,21,0.068,2190,1.892]],["b/12",[1,0.022,2,0.192,3,0.03,4,0.086,5,0.023,6,0.023,7,0.037,8,0.027,9,0.023,10,0.023,11,0.022,12,0.03,13,0.028,14,0.023,15,0.022,16,0.35,17,0.022,18,0.022,19,0.022,20,0.03,21,0.153,22,0.143,23,0.027,24,0.022,25,0.095,26,0.09,27,0.022,28,0.023,29,0.023,30,0.378,31,0.03,32,0.027,33,0.022,34,0.022,35,0.022,36,0.022,37,0.028,38,0.031,39,0.022,40,0.022,41,0.022,42,0.023,43,0.022,44,0.069,45,0.069,46,0.069,47,0.087,48,0.117,49,0.117,50,0.117,51,0.069,52,0.117,62,0.095,64,2.743,100,0.273,124,0.023,125,0.023,126,0.023,127,0.023,128,0.023,129,0.023,130,0.023,131,0.023,133,0.023,134,0.023,135,0.028,136,0.023,152,0.899,160,0.566,165,0.515,172,2.743,196,1.448,217,0.992,362,1.448,364,0.813,379,0.731,497,0.813,503,0.329,567,1.51,631,1.94,691,1.592,734,3.179,784,2.743,824,0.453,825,0.619,890,1.592,892,0.92,918,1.092,928,1.94,954,1.94,963,2.417,964,2.713,965,2.969,967,3.041,1017,1.365,1028,3.041,1037,2.441,1064,3.451,1065,3.041,1106,1.2,1143,1.821,1144,0.899,1186,1.94,1189,3.179,1210,1.658,1241,3.041,1247,3.451,1354,4,1355,4,1550,1.754,1904,1.94,1912,3.179,2025,3.179,2026,3.451,2027,4.083,2028,3.179,2052,2.417,2105,2.743,2122,2.157,2123,2.713,2124,2.157,2125,2.157,2126,2.157,2127,2.157,2129,2.157,2160,3.115,2163,2.743,2190,2.743,2191,4,2192,3.842,2193,3.842,2194,3.842,2195,3.842,2196,3.179,2197,3.041,2198,3.842,2199,3.842,2200,4.834,2201,3.842,2202,3.842,2203,3.179,2204,3.842,2205,3.842,2206,3.842,2207,3.842,2208,3.179,2209,3.842,2210,1.592,2211,3.842,2212,2.743,2213,3.842,2214,3.842,2215,3.842,2216,3.179,2217,4.834,2218,3.842,2219,4,2220,4.834,2221,4.834,2222,4.834,2223,4.834,2224,3.842,2225,3.842,2226,3.842]],["t/13",[17,0.017,18,0.017,19,0.017]],["b/13",[1,0.019,2,0.21,3,0.03,4,0.081,5,0.02,6,0.02,7,0.036,8,0.03,9,0.02,10,0.02,11,0.025,12,0.025,13,0.02,14,0.02,15,0.025,16,0.354,17,0.034,18,0.032,19,0.031,20,0.019,21,0.128,22,0.146,23,0.028,24,0.019,25,0.086,26,0.072,27,0.019,28,0.02,29,0.02,30,0.368,31,0.028,32,0.025,33,0.019,34,0.025,35,0.019,36,0.019,37,0.026,38,0.026,39,0.019,40,0.019,41,0.019,42,0.02,43,0.019,44,0.061,45,0.061,46,0.061,47,0.08,48,0.103,49,0.103,50,0.103,51,0.061,52,0.103,53,0.715,61,1.16,62,0.108,64,3.178,70,1.042,72,2.127,90,0.759,95,1.119,96,0.193,100,0.353,101,1.707,108,0.667,109,1.149,124,0.02,125,0.02,126,0.02,127,0.02,128,0.02,129,0.02,130,0.026,131,0.02,132,0.147,133,0.02,134,0.02,135,0.02,136,0.02,145,1.401,152,0.791,160,0.692,163,1.056,168,2.248,176,0.961,177,1.265,195,0.848,197,1.39,206,1.056,217,1.285,244,0.513,361,0.873,362,1.274,405,2.127,406,1.16,445,1.527,449,1.898,462,2.414,471,1.265,482,2.798,483,3.684,497,0.942,503,0.381,507,1.707,517,2.248,518,1.056,553,0.873,577,0.873,622,2.127,693,1.544,694,0.961,697,2.499,702,2.062,706,1.401,707,0.873,728,1.898,736,1.401,750,2.414,753,1.898,759,1.707,787,1.056,812,1.265,816,2.794,823,1.056,824,0.381,825,0.661,827,1.321,881,1.056,889,1.527,892,1.112,899,1.507,900,1.274,902,1.544,907,1.845,913,1.707,914,1.707,944,2.248,945,2.127,947,2.414,954,1.707,973,2.248,978,1.401,994,2.798,1017,0.873,1031,1.707,1085,1.16,1106,1.056,1107,1.401,1186,1.707,1210,1.707,1238,2.414,1365,2.127,1438,1.707,1450,2.798,1503,2.798,1553,2.414,1603,1.274,1626,2.414,1628,1.544,1640,1.898,1658,2.414,1808,2.513,1864,2.414,1890,2.798,1897,2.414,1920,2.801,1986,2.798,1999,2.801,2013,2.414,2120,2.801,2122,1.898,2123,1.898,2124,1.898,2125,1.898,2126,1.898,2127,1.898,2227,3.381,2228,3.381,2229,4.67,2230,3.381,2231,3.381,2232,3.381,2233,3.381,2234,3.381,2235,2.414,2236,2.414,2237,3.381,2238,2.798,2239,2.798,2240,3.381,2241,3.381,2242,3.381,2243,4.452,2244,4.549,2245,3.381,2246,3.381,2247,2.127,2248,3.381,2249,3.381,2250,3.381,2251,3.381,2252,3.381,2253,3.381,2254,2.414,2255,3.381,2256,3.381,2257,2.798,2258,3.381,2259,3.381,2260,3.381,2261,3.381,2262,3.381,2263,2.798,2264,3.381,2265,3.381,2266,3.381,2267,3.381,2268,3.381,2269,3.178,2270,2.798,2271,3.381,2272,3.381,2273,3.381,2274,3.381,2275,3.381,2276,3.381,2277,3.381,2278,3.381,2279,2.798,2280,3.381,2281,3.381,2282,2.127,2283,3.381,2284,3.381,2285,3.381,2286,3.381,2287,2.414,2288,3.381,2289,2.798,2290,4.452,2291,3.381,2292,2.414,2293,4.452,2294,4.452,2295,3.381,2296,3.381,2297,3.381,2298,3.381,2299,3.381]],["t/14",[25,0.056,26,0.056]],["b/14",[1,0.017,2,0.206,3,0.032,4,0.067,5,0.018,6,0.018,7,0.037,8,0.027,9,0.018,10,0.018,11,0.017,12,0.017,13,0.018,14,0.027,15,0.017,16,0.317,17,0.033,18,0.029,19,0.034,20,0.023,21,0.121,22,0.13,23,0.027,24,0.017,25,0.093,26,0.092,27,0.017,28,0.018,29,0.018,30,0.358,31,0.017,32,0.017,33,0.017,34,0.017,35,0.017,36,0.017,37,0.024,38,0.018,39,0.017,40,0.017,41,0.017,42,0.018,43,0.017,44,0.054,45,0.054,46,0.054,47,0.074,48,0.091,49,0.091,50,0.091,51,0.054,52,0.091,53,1.153,58,1.129,62,0.102,70,0.701,74,2.48,89,1.242,90,0.511,93,1.368,94,1.179,95,0.634,96,0.247,100,0.213,102,0.892,104,1.166,108,0.675,109,0.774,110,1.682,115,0.634,122,0.634,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.03,131,0.018,132,0.13,133,0.018,134,0.018,135,0.018,136,0.018,138,0.623,145,2.087,160,0.548,165,0.55,170,2.073,173,1.513,185,1.129,195,0.782,197,0.936,200,1.242,201,1.153,248,1.129,270,2.488,275,1.368,331,3.875,361,0.774,365,2.139,379,0.571,392,2.139,404,1.513,405,1.885,406,1.028,445,1.028,447,2.48,467,1.885,471,1.499,473,1.368,503,0.401,508,1.129,518,0.936,526,0.936,553,1.3,565,0.774,566,1.547,569,1.885,622,1.885,629,1.682,632,1.242,636,1.129,680,1.129,691,1.242,693,1.368,695,1.885,699,2.139,702,1.242,706,1.242,707,0.774,708,1.331,751,1.028,759,1.513,805,2.409,809,2.931,812,1.166,820,2.139,824,0.432,825,0.683,829,1.885,869,1.606,876,1.116,879,1.368,880,1.513,881,1.573,889,1.606,890,1.701,892,1.082,899,1.3,900,1.129,905,2.409,928,2.073,933,1.874,941,1.129,947,2.139,950,1.682,963,3.428,964,3.464,965,2.304,966,2.139,967,2.946,968,2.139,969,1.885,971,1.885,973,2.973,974,3.782,978,1.242,981,2.139,991,2.48,995,3.596,1017,1.06,1021,2.931,1025,2.139,1032,2.48,1056,1.682,1068,2.48,1082,1.06,1109,2.354,1143,1.129,1230,1.242,1240,1.129,1408,2.139,1511,2.931,1602,2.931,1616,1.408,1617,1.368,1654,2.139,1772,2.139,1791,1.368,1837,2.138,1839,2.3,1874,1.513,1903,1.242,1978,2.48,1988,1.885,1999,1.885,2005,1.682,2007,3.343,2011,2.139,2022,2.48,2069,2.139,2078,1.368,2146,2.139,2229,2.48,2244,2.48,2263,2.48,2282,1.885,2287,2.139,2300,2.996,2301,2.996,2302,2.996,2303,2.996,2304,2.996,2305,2.996,2306,1.682,2307,2.364,2308,2.48,2309,2.48,2310,2.48,2311,2.48,2312,2.48,2313,2.996,2314,2.996,2315,2.996,2316,2.996,2317,2.996,2318,2.996,2319,2.996,2320,2.996,2321,2.996,2322,2.48,2323,2.48,2324,2.48,2325,2.996,2326,4.105,2327,4.683,2328,4.105,2329,2.139,2330,2.48,2331,2.996,2332,3.397,2333,2.996,2334,2.48,2335,3.397,2336,2.48,2337,2.996,2338,2.996,2339,2.996,2340,2.48,2341,2.996,2342,2.996,2343,4.105,2344,4.105,2345,2.996,2346,4.683,2347,2.996,2348,2.996,2349,2.996,2350,2.996,2351,2.996,2352,2.996,2353,2.996,2354,2.996,2355,2.996,2356,2.996,2357,2.996,2358,2.48,2359,2.48,2360,2.48,2361,2.48,2362,3.397,2363,2.48,2364,2.48,2365,2.996,2366,2.996,2367,2.996,2368,2.48,2369,2.48,2370,5.037,2371,4.105,2372,2.48,2373,4.105,2374,2.996,2375,2.996,2376,2.996,2377,2.996,2378,2.996,2379,2.996,2380,2.996,2381,2.996,2382,2.996,2383,2.996,2384,2.996,2385,2.996]],["t/15",[22,0.077,25,0.049,26,0.049]],["b/15",[1,0.02,2,0.176,3,0.026,4,0.088,5,0.021,6,0.027,7,0.037,8,0.026,9,0.021,10,0.021,11,0.02,12,0.02,13,0.021,14,0.027,15,0.02,16,0.349,17,0.029,18,0.02,19,0.02,20,0.029,21,0.132,22,0.139,23,0.026,24,0.026,25,0.088,26,0.097,27,0.02,28,0.021,29,0.021,30,0.373,31,0.02,32,0.02,33,0.02,34,0.02,35,0.02,36,0.02,37,0.033,38,0.021,39,0.02,40,0.02,41,0.02,42,0.021,43,0.02,44,0.064,45,0.064,46,0.064,47,0.083,48,0.109,49,0.109,50,0.109,51,0.064,52,0.109,53,1.183,62,0.1,86,1.802,88,0.921,94,0.835,95,0.755,96,0.2,98,1.224,108,0.478,109,0.921,115,0.975,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,132,0.155,133,0.021,134,0.021,135,0.021,136,0.021,138,0.542,165,0.478,168,1.802,177,1.014,195,0.878,244,0.542,400,2.548,469,1.802,470,2.245,503,0.306,552,1.629,553,0.921,554,1.629,632,1.479,693,1.629,695,2.245,707,0.921,751,1.224,805,1.629,812,1.014,824,0.463,825,0.699,827,0.835,879,1.629,892,0.679,899,0.921,900,1.345,913,1.802,914,1.802,950,2.003,964,2.003,965,3.215,966,3.292,967,3.518,968,3.292,969,2.245,971,3.214,973,2.824,974,3.666,978,1.479,981,2.548,983,2.953,987,2.953,995,2.548,1007,2.548,1010,2.953,1011,2.548,1013,2.953,1015,2.953,1019,2.953,1020,2.953,1021,2.548,1025,2.548,1028,2.245,1029,2.953,1044,1.479,1082,0.921,1109,1.479,1143,1.345,1240,1.738,1380,2.953,1620,2.245,1624,3.292,1628,1.629,1712,2.953,1791,1.629,1808,1.802,1837,1.629,1839,2.106,1884,2.548,1891,2.548,1979,3.856,1995,1.911,1999,2.245,2007,3.648,2011,2.548,2029,3.292,2073,3.292,2078,1.629,2102,2.953,2146,2.548,2160,2.003,2210,1.479,2212,4.089,2282,2.901,2287,2.548,2306,2.003,2307,1.802,2308,2.953,2309,2.953,2310,2.953,2311,2.953,2312,2.953,2332,3.816,2358,2.953,2359,3.816,2360,2.953,2361,3.816,2362,3.816,2363,3.816,2364,2.953,2386,3.568,2387,3.568,2388,3.568,2389,4.611,2390,2.953,2391,3.568,2392,3.568,2393,4.611,2394,3.568,2395,3.568,2396,3.568,2397,3.568,2398,3.568,2399,4.611,2400,4.611,2401,4.611,2402,3.568,2403,3.568,2404,2.953,2405,3.568,2406,3.568,2407,3.568,2408,3.568,2409,3.568,2410,3.568,2411,2.245,2412,3.816,2413,3.568,2414,4.611,2415,4.611,2416,3.568,2417,3.568,2418,3.568,2419,3.568,2420,3.568,2421,3.568,2422,3.568,2423,3.568,2424,3.568,2425,3.568,2426,2.548,2427,3.568,2428,2.548,2429,2.953]],["t/16",[16,0.197,20,0.02]],["b/16",[1,0.017,2,0.188,3,0.026,4,0.066,5,0.017,6,0.017,7,0.037,8,0.028,9,0.017,10,0.017,11,0.017,12,0.026,13,0.017,14,0.024,15,0.017,16,0.351,17,0.03,18,0.017,19,0.017,20,0.035,21,0.136,22,0.148,23,0.026,24,0.017,25,0.075,26,0.066,27,0.017,28,0.017,29,0.017,30,0.358,31,0.017,32,0.031,33,0.017,34,0.017,35,0.017,36,0.023,37,0.024,38,0.017,39,0.017,40,0.017,41,0.017,42,0.017,43,0.017,44,0.053,45,0.053,46,0.053,47,0.073,48,0.09,49,0.09,50,0.09,51,0.053,52,0.09,53,0.627,62,0.107,88,0.765,90,0.896,94,0.693,95,1.112,96,0.228,97,0.861,100,0.413,102,0.564,115,0.861,122,1.149,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.129,133,0.017,134,0.017,135,0.017,136,0.017,160,0.545,165,0.546,172,2.115,185,1.116,201,0.627,206,1.565,217,1.402,256,2.382,264,2.115,265,1.864,270,1.86,293,1.535,294,2.451,361,0.765,364,0.627,379,0.564,431,2.115,464,1.663,486,1.663,497,1.06,503,0.254,507,1.496,552,1.353,565,0.765,567,1.454,614,2.115,624,1.227,636,1.116,638,1.864,695,3.153,707,1.051,709,1.116,728,1.663,736,2.25,752,2.451,787,0.925,816,1.663,823,0.925,824,0.45,825,0.615,876,0.627,880,1.496,881,1.835,882,2.115,889,1.597,914,2.057,918,0.842,920,1.864,941,1.116,960,1.202,992,1.864,1017,0.765,1045,3.153,1053,2.451,1069,1.86,1082,1.051,1084,1.663,1085,1.016,1087,1.864,1089,1.754,1098,1.864,1099,1.754,1100,1.864,1101,2.908,1102,2.814,1103,2.814,1106,1.641,1107,2.177,1109,1.227,1110,2.115,1113,2.115,1114,1.864,1115,2.613,1116,2.35,1117,2.814,1118,2.115,1119,2.115,1122,1.754,1124,1.754,1144,0.693,1186,2.861,1210,1.597,1240,1.116,1251,1.016,1353,1.157,1356,1.864,1357,1.889,1360,2.908,1361,1.688,1365,2.562,1369,2.451,1371,3.371,1384,1.663,1385,2.286,1388,2.562,1394,2.562,1395,2.451,1398,2.286,1400,2.115,1409,1.496,1418,1.864,1422,1.016,1427,1.864,1533,2.115,1537,2.928,1563,1.864,1603,1.116,1617,1.353,1630,2.286,1656,1.864,1667,2.908,1791,1.86,1848,1.227,1897,2.115,1898,1.663,1904,2.35,1920,2.562,1987,2.451,1988,1.864,1995,1.227,2013,2.115,2027,2.908,2054,3.579,2055,2.908,2057,2.115,2058,2.908,2059,2.908,2066,2.451,2069,2.115,2088,2.908,2093,2.115,2100,1.496,2104,1.864,2120,2.562,2122,2.814,2123,2.814,2124,2.814,2125,2.95,2126,2.814,2127,2.814,2129,2.286,2130,2.115,2148,3.371,2158,2.451,2161,2.451,2163,2.115,2166,2.451,2169,2.115,2172,2.451,2174,2.451,2181,3.371,2182,2.451,2183,3.371,2184,2.451,2187,2.451,2197,2.562,2235,2.908,2236,2.908,2254,2.115,2269,2.115,2430,2.962,2431,2.962,2432,2.962,2433,4.073,2434,2.962,2435,2.962,2436,2.962,2437,2.962,2438,2.962,2439,2.451,2440,2.962,2441,4.073,2442,2.962,2443,4.073,2444,2.962,2445,2.962,2446,2.962,2447,2.962,2448,2.962,2449,2.962,2450,2.962,2451,2.962,2452,2.962,2453,2.962,2454,2.962,2455,2.962,2456,2.962,2457,2.451,2458,3.371,2459,1.864,2460,2.115,2461,4.073,2462,2.962,2463,4.073,2464,2.962,2465,2.962,2466,2.962,2467,2.962,2468,1.353,2469,2.962,2470,2.962,2471,2.962,2472,2.962,2473,2.962,2474,2.962,2475,2.962,2476,2.962,2477,2.451,2478,2.962,2479,2.962,2480,2.962,2481,2.962,2482,2.962,2483,2.962,2484,2.962,2485,2.451]],["t/17",[27,0.023]],["b/17",[1,0.011,2,0.209,3,0.025,4,0.047,5,0.011,6,0.026,7,0.037,8,0.027,9,0.011,10,0.011,11,0.011,12,0.031,13,0.011,14,0.011,15,0.02,16,0.349,17,0.025,18,0.034,19,0.017,20,0.027,21,0.092,22,0.143,23,0.031,24,0.011,25,0.086,26,0.088,27,0.034,28,0.011,29,0.011,30,0.315,31,0.029,32,0.02,33,0.011,34,0.023,35,0.023,36,0.026,37,0.024,38,0.021,39,0.026,40,0.011,41,0.011,42,0.011,43,0.011,44,0.034,45,0.034,46,0.034,47,0.052,48,0.057,49,0.057,50,0.057,51,0.034,52,0.057,53,1.144,61,0.647,62,0.099,70,0.684,76,1.058,77,1.346,84,1.186,85,1.018,88,0.487,89,1.212,94,0.945,95,0.854,96,0.201,97,0.619,98,1.499,100,0.389,102,0.832,108,0.541,113,1.186,115,0.619,122,0.399,124,0.011,125,0.011,126,0.011,127,0.011,128,0.011,129,0.011,130,0.011,131,0.011,133,0.011,134,0.011,135,0.021,136,0.011,137,1.058,145,1.484,149,1.003,152,0.441,154,1.84,155,1.058,160,0.541,162,0.861,165,0.253,174,0.831,175,0.536,176,1.241,177,0.536,195,0.682,196,0.71,197,0.589,201,0.399,206,0.913,244,0.544,263,1.058,275,1.843,282,1.84,293,0.71,313,1.102,319,1.484,344,0.861,361,0.755,362,0.71,364,0.399,379,0.359,406,1.229,445,0.647,470,1.186,471,0.831,473,0.861,475,1.346,503,0.162,506,0.399,517,1.477,518,0.589,544,0.861,553,0.487,560,1.058,564,1.186,565,0.487,567,0.589,573,1.186,577,0.925,618,2.038,624,0.781,631,0.952,632,1.212,643,1.84,691,0.781,694,0.536,698,1.521,701,2.254,702,0.781,707,0.487,708,1.513,709,1.521,723,1.186,726,2.088,728,1.058,730,1.56,736,1.212,756,0.952,785,1.346,787,1.119,805,1.843,812,0.536,813,1.56,814,3.616,815,2.749,822,1.56,824,0.512,825,0.667,827,0.441,832,2.42,833,1.56,834,1.56,835,1.56,836,1.56,837,1.56,838,1.56,839,2.42,840,1.56,841,1.56,842,2.42,843,2.42,845,1.56,846,1.56,847,1.56,869,1.003,879,1.995,880,0.952,881,1.261,889,1.385,890,1.212,892,1.066,899,0.925,913,0.952,918,1.147,921,1.346,928,2.334,932,1.809,933,2.111,936,1.484,937,1.56,941,1.521,942,0.861,945,3.034,946,2.42,949,1.186,950,1.641,953,1.636,954,2.038,955,2.558,956,1.809,957,2.558,958,2.558,959,2.558,960,1.245,961,2.011,963,2.908,964,3.143,969,1.186,971,1.186,1005,1.81,1007,2.088,1028,3.034,1033,1.84,1037,0.952,1044,0.781,1082,0.487,1085,0.647,1087,2.254,1095,2.539,1099,1.521,1105,2.558,1114,1.186,1124,0.71,1141,1.56,1143,1.102,1144,0.441,1175,1.346,1210,0.647,1230,0.781,1232,1.84,1240,1.646,1251,1.229,1353,1.147,1385,1.058,1400,2.088,1409,0.952,1421,1.56,1427,3.136,1546,0.952,1550,1.335,1589,1.335,1602,2.088,1603,0.71,1608,2.038,1610,2.266,1617,0.861,1628,2.337,1631,1.84,1656,1.84,1666,3.257,1714,1.346,1789,1.56,1808,0.952,1819,1.346,1837,1.636,1848,1.673,1863,1.56,1874,0.952,1875,1.56,1891,1.346,1901,1.346,1940,1.56,1955,2.453,1962,2.965,1969,4.927,1979,2.088,1992,2.558,1994,1.56,1995,1.212,2006,1.56,2044,3.522,2052,1.186,2100,1.809,2103,1.56,2104,2.539,2105,1.346,2110,1.56,2129,1.058,2132,1.56,2144,1.477,2160,2.873,2191,1.56,2196,1.56,2197,1.186,2203,2.965,2208,3.341,2210,2.066,2212,2.088,2216,1.56,2219,1.56,2247,1.186,2279,3.341,2282,1.84,2306,1.058,2329,1.346,2330,1.56,2335,2.42,2429,2.42,2439,1.56,2459,1.186,2468,1.843,2486,5.543,2487,1.885,2488,2.42,2489,2.924,2490,1.885,2491,1.885,2492,1.885,2493,3.341,2494,1.885,2495,1.885,2496,1.885,2497,1.885,2498,4.369,2499,1.885,2500,1.885,2501,2.924,2502,1.885,2503,1.885,2504,3.583,2505,3.583,2506,2.924,2507,2.924,2508,1.885,2509,1.885,2510,1.885,2511,2.924,2512,1.885,2513,1.885,2514,1.885,2515,1.885,2516,1.885,2517,1.885,2518,1.885,2519,1.885,2520,1.885,2521,1.885,2522,1.885,2523,1.885,2524,1.885,2525,5.119,2526,2.42,2527,1.885,2528,1.885,2529,1.885,2530,1.885,2531,4.369,2532,2.924,2533,2.42,2534,1.885,2535,1.885,2536,1.885,2537,1.885,2538,1.885,2539,1.885,2540,1.885,2541,1.885,2542,1.346,2543,1.885,2544,1.56,2545,1.885,2546,1.885,2547,2.42,2548,1.56,2549,1.885,2550,1.346,2551,1.885,2552,1.885,2553,4.037,2554,1.885,2555,4.369,2556,2.924,2557,2.924,2558,4.369,2559,4.369,2560,2.924,2561,2.924,2562,4.369,2563,3.583,2564,2.924,2565,1.885,2566,1.885,2567,1.885,2568,1.885,2569,2.924,2570,1.885,2571,1.885,2572,3.583,2573,1.885,2574,2.924,2575,1.885,2576,2.924,2577,2.924,2578,2.924,2579,2.924,2580,1.885,2581,1.885,2582,1.885,2583,1.885,2584,1.885,2585,1.885,2586,1.885,2587,1.885,2588,1.885,2589,1.885,2590,1.885,2591,1.885,2592,1.885,2593,4.037,2594,1.885,2595,1.885,2596,1.885,2597,1.885,2598,1.885,2599,1.885,2600,1.885,2601,1.885,2602,1.885,2603,1.885,2604,1.885,2605,1.885,2606,1.885,2607,1.885,2608,1.885,2609,1.885,2610,1.885,2611,4.823,2612,2.924,2613,2.924,2614,4.823,2615,1.885,2616,1.885,2617,1.885,2618,1.885,2619,2.924,2620,2.924,2621,4.037,2622,1.885,2623,1.885,2624,1.885,2625,1.885,2626,1.885,2627,1.885,2628,2.924,2629,2.924,2630,1.885,2631,1.885,2632,1.885,2633,1.885,2634,1.885,2635,4.369,2636,1.885,2637,4.037,2638,4.037,2639,4.037,2640,4.037,2641,1.885,2642,1.56,2643,2.924,2644,1.885,2645,1.885,2646,2.924,2647,1.885,2648,1.56,2649,1.885,2650,1.885,2651,3.583,2652,1.885,2653,1.885,2654,1.885,2655,1.885,2656,4.623,2657,1.885,2658,1.885,2659,1.885,2660,1.885,2661,2.924,2662,1.885,2663,1.885,2664,1.885,2665,1.885,2666,2.924,2667,1.885,2668,2.924,2669,1.885,2670,3.583,2671,1.885,2672,1.885,2673,1.885,2674,2.924,2675,1.885,2676,1.885,2677,1.885,2678,1.885,2679,1.885,2680,2.924,2681,1.885,2682,2.924,2683,1.885,2684,3.583,2685,1.885,2686,1.885,2687,1.885,2688,1.885,2689,1.885,2690,1.885,2691,2.924,2692,1.885,2693,1.885,2694,1.885,2695,2.924,2696,1.885,2697,1.885,2698,1.56,2699,1.885,2700,1.885,2701,1.885,2702,3.583,2703,1.885,2704,1.885,2705,1.885,2706,1.885,2707,1.885,2708,1.885,2709,1.885,2710,1.885,2711,1.885,2712,1.885,2713,2.924,2714,1.56,2715,2.924,2716,1.885,2717,3.583,2718,1.885,2719,3.583,2720,1.885,2721,1.885,2722,2.924,2723,1.885,2724,1.885,2725,1.885,2726,1.885,2727,1.885,2728,1.885,2729,1.885,2730,1.885,2731,1.885,2732,1.885,2733,1.885,2734,1.885,2735,1.885,2736,1.885,2737,1.885,2738,1.885,2739,1.885,2740,1.885,2741,1.885,2742,1.885,2743,1.346,2744,1.885,2745,1.885,2746,1.885,2747,1.885,2748,1.885,2749,1.885,2750,1.885,2751,1.885,2752,2.924,2753,1.885,2754,1.885,2755,2.924,2756,1.885,2757,1.885,2758,1.885,2759,1.885,2760,1.885,2761,1.885,2762,1.885,2763,1.885,2764,1.885,2765,1.885,2766,1.885,2767,1.885,2768,1.885,2769,1.885,2770,1.885,2771,1.885,2772,1.885,2773,1.885,2774,1.885,2775,1.885,2776,1.885,2777,1.885,2778,1.885,2779,1.885,2780,1.885,2781,1.885,2782,1.885,2783,1.885,2784,1.885,2785,1.885,2786,1.885,2787,1.885,2788,1.885,2789,1.885,2790,1.885,2791,1.885,2792,1.885,2793,1.885,2794,1.885]],["t/18",[3,0.02,4,0.056]],["b/18",[1,0.026,2,0.212,3,0.035,4,0.099,5,0.021,6,0.021,7,0.036,8,0.029,9,0.021,10,0.021,11,0.026,12,0.026,13,0.03,14,0.033,15,0.026,16,0.344,17,0.026,18,0.026,19,0.026,20,0.032,21,0.148,22,0.144,23,0.029,24,0.026,25,0.098,26,0.091,27,0.026,28,0.032,29,0.021,30,0.393,31,0.026,32,0.026,33,0.026,34,0.026,35,0.026,36,0.026,37,0.032,38,0.033,39,0.026,40,0.026,41,0.026,42,0.027,43,0.026,44,0.083,45,0.064,46,0.064,47,0.064,51,0.064,58,1.738,62,0.103,63,2.548,88,1.319,90,0.609,104,1.31,118,1.802,121,1.114,122,0.755,124,0.021,125,0.021,126,0.021,127,0.021,128,0.021,129,0.021,130,0.021,131,0.021,133,0.021,134,0.027,135,0.021,136,0.021,137,2.003,138,0.7,147,3.816,151,2.953,153,3.816,155,2.868,160,0.54,164,1.114,165,0.724,176,1.014,195,0.679,196,1.345,244,0.7,248,2.196,284,1.479,362,1.738,365,3.648,391,2.589,393,3.648,399,2.548,406,1.224,442,2.589,471,1.014,473,1.629,474,2.548,486,2.003,503,0.438,506,1.081,507,1.802,543,2.548,544,2.106,550,3.214,552,1.629,553,0.921,559,1.582,560,2.003,563,3.816,565,0.921,567,1.114,578,2.003,624,1.479,636,1.345,644,1.802,680,1.345,699,2.548,729,2.953,780,2.548,781,2.953,789,2.548,805,1.629,827,1.079,876,1.081,890,1.479,921,2.548,936,1.911,942,2.106,953,1.629,956,2.328,1000,2.245,1031,1.802,1085,1.224,1168,3.032,1210,1.224,1240,1.345,1251,1.224,1352,1.224,1368,2.548,1382,2.245,1511,2.548,1535,2.548,1545,2.953,1550,1.629,1551,2.953,1560,2.953,1589,2.106,1616,1.224,1640,2.003,1666,2.003,1736,2.953,1774,1.802,1777,2.953,1825,2.901,1903,1.479,1929,2.245,1942,3.292,2005,2.003,2044,2.245,2078,1.629,2100,1.802,2190,2.548,2210,2.117,2336,2.953,2404,2.953,2550,2.548,2795,2.548,2796,3.568,2797,2.548,2798,3.568,2799,3.568,2800,3.568,2801,3.568,2802,3.568,2803,3.568,2804,4.611,2805,2.548,2806,3.568,2807,3.568,2808,3.568,2809,3.568,2810,3.568,2811,3.568,2812,3.568,2813,3.568,2814,5.109,2815,2.953,2816,3.568,2817,3.568,2818,2.953,2819,3.568,2820,4.611,2821,3.568,2822,3.568,2823,3.568,2824,2.548,2825,2.548,2826,2.548,2827,4.611,2828,2.548,2829,3.568,2830,3.568,2831,3.568,2832,3.568,2833,3.568,2834,3.568,2835,3.568,2836,3.568]],["t/19",[30,0.167,36,0.015,1825,1.667,2828,1.892]],["b/19",[1,0.019,2,0.206,3,0.025,4,0.073,5,0.02,6,0.02,7,0.037,8,0.03,9,0.02,10,0.02,11,0.019,12,0.019,13,0.026,14,0.026,15,0.019,16,0.284,17,0.025,18,0.019,19,0.019,20,0.019,21,0.129,22,0.155,23,0.031,24,0.019,25,0.081,26,0.073,27,0.019,28,0.02,29,0.02,30,0.374,31,0.03,32,0.025,33,0.019,34,0.019,35,0.019,36,0.025,37,0.029,38,0.02,39,0.019,40,0.019,41,0.019,42,0.02,43,0.019,44,0.061,45,0.061,46,0.061,47,0.081,48,0.104,49,0.104,50,0.104,51,0.061,52,0.104,62,0.095,70,1.244,78,3.206,85,0.973,96,0.24,100,0.402,102,0.855,105,1.73,108,0.459,124,0.02,125,0.02,126,0.02,127,0.02,128,0.02,129,0.02,130,0.02,131,0.02,132,0.149,133,0.02,134,0.02,135,0.02,136,0.02,152,1.172,154,2.155,166,0.973,175,0.973,176,0.973,179,3.206,197,1.07,200,1.419,250,2.267,265,2.825,291,1.291,292,1.73,293,1.291,313,1.291,364,1.125,412,2.825,450,2.446,471,0.973,497,0.725,506,0.725,553,1.373,567,1.402,577,0.884,631,1.73,707,0.884,736,1.419,756,1.73,815,2.155,818,2.446,824,0.502,919,4.568,920,3.151,938,1.419,973,2.529,978,1.419,1082,0.884,1124,1.291,1143,1.291,1144,1.051,1352,1.54,1353,0.973,1356,2.155,1357,1.692,1399,3.206,1422,1.54,1616,1.824,1733,1.923,1737,2.835,1772,2.446,1774,1.73,1825,3.833,1828,2.446,1832,2.835,1833,2.835,1837,1.564,1839,2.05,1844,2.835,1848,1.419,1849,2.835,1856,2.835,1858,2.835,1904,1.73,2306,1.923,2307,2.267,2468,1.564,2493,3.716,2648,2.835,2828,3.206,2837,3.425,2838,3.425,2839,3.425,2840,3.425,2841,3.425,2842,3.425,2843,4.49,2844,4.49,2845,4.49,2846,4.49,2847,4.49,2848,3.425,2849,3.425,2850,3.425,2851,3.425,2852,3.425,2853,3.425,2854,3.425,2855,3.425,2856,3.425,2857,3.425,2858,3.716,2859,3.425,2860,3.425,2861,3.425,2862,4.49,2863,3.425,2864,3.425,2865,3.425,2866,3.716,2867,3.425,2868,4.49,2869,3.425,2870,3.425,2871,3.425,2872,3.425,2873,5.009,2874,3.425,2875,3.425,2876,3.425,2877,3.425,2878,1.73,2879,3.425,2880,3.425,2881,3.425,2882,3.425,2883,3.425,2884,3.425,2885,3.425,2886,3.425,2887,3.425,2888,3.425,2889,4.49,2890,3.425,2891,3.425,2892,3.425,2893,4.49,2894,3.425,2895,3.425,2896,3.425,2897,3.425,2898,2.835,2899,2.835,2900,3.425,2901,3.425,2902,5.009,2903,3.425,2904,3.425,2905,3.425,2906,3.425,2907,3.425,2908,3.425,2909,3.425,2910,3.425,2911,3.425,2912,3.425,2913,3.425,2914,3.425,2915,3.425,2916,3.425,2917,3.425,2918,3.425,2919,4.49,2920,3.425,2921,3.425,2922,5.317,2923,3.425,2924,3.425,2925,4.49,2926,4.49,2927,3.425,2928,3.425,2929,3.425,2930,3.425,2931,3.425,2932,3.425,2933,3.425,2934,3.425,2935,3.425,2936,3.425,2937,5.009,2938,3.425]],["t/20",[22,0.089,30,0.219]],["b/20",[1,0.016,2,0.203,3,0.016,4,0.087,5,0.017,6,0.029,7,0.037,8,0.028,9,0.017,10,0.017,11,0.016,12,0.016,13,0.017,14,0.023,15,0.016,16,0.258,17,0.016,18,0.016,19,0.016,20,0.016,21,0.117,22,0.161,23,0.034,24,0.016,25,0.08,26,0.064,27,0.016,28,0.017,29,0.023,30,0.359,31,0.034,32,0.032,33,0.016,34,0.028,35,0.029,36,0.016,37,0.023,38,0.017,39,0.016,40,0.016,41,0.016,42,0.017,43,0.016,44,0.051,45,0.051,46,0.051,47,0.071,48,0.086,49,0.12,50,0.086,51,0.051,52,0.086,53,0.836,60,2.487,61,1.56,62,0.108,70,1.152,80,1.432,94,0.664,95,1.041,96,0.172,100,0.436,101,1.432,102,0.54,104,0.806,108,0.38,109,0.732,110,1.592,118,1.996,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.123,133,0.017,134,0.017,135,0.017,136,0.017,137,1.592,138,0.6,150,2.025,152,0.925,163,1.234,164,0.886,165,0.61,166,1.293,174,0.806,175,1.293,177,1.47,179,2.025,197,1.234,200,1.638,201,1.186,204,2.822,244,0.6,246,1.784,248,1.949,250,1.432,253,2.219,256,1.175,263,1.592,270,1.295,275,1.295,281,2.347,282,1.784,283,2.297,284,1.175,289,2.822,291,1.069,292,1.432,293,1.069,313,1.854,319,1.175,361,0.732,362,1.714,363,1.592,382,2.347,391,1.592,412,2.862,431,2.025,445,0.973,464,1.592,469,1.996,486,2.554,497,1.041,503,0.243,506,0.6,517,1.432,518,0.886,552,1.805,553,0.732,554,1.805,559,1.838,561,1.638,562,2.025,575,2.487,578,2.219,608,2.025,614,2.822,630,1.432,632,1.638,636,1.069,644,1.432,693,1.295,706,1.175,709,1.714,762,2.487,824,0.508,825,0.533,827,1.376,918,0.806,928,1.432,974,1.784,1000,1.784,1044,1.175,1082,1.02,1109,2.039,1116,2.297,1144,0.925,1194,3.095,1353,0.806,1385,2.554,1548,2.025,1563,1.784,1586,2.025,1594,2.347,1617,1.295,1857,3.765,1899,3.248,1903,1.175,1941,2.347,1988,1.784,2005,1.592,2143,2.025,2169,2.822,2210,1.175,2411,1.784,2457,2.347,2805,2.025,2818,2.347,2878,1.432,2939,2.837,2940,2.837,2941,2.837,2942,2.837,2943,2.837,2944,2.837,2945,2.837,2946,2.347,2947,2.837,2948,2.837,2949,4.92,2950,2.837,2951,2.837,2952,2.837,2953,2.837,2954,2.837,2955,2.837,2956,2.837,2957,2.837,2958,2.837,2959,2.837,2960,2.837,2961,2.837,2962,2.837,2963,2.837,2964,2.837,2965,3.953,2966,3.953,2967,2.837,2968,2.837,2969,2.837,2970,2.837,2971,2.837,2972,2.837,2973,2.837,2974,2.837,2975,2.837,2976,2.837,2977,4.549,2978,3.953,2979,2.837,2980,3.953,2981,3.953,2982,2.837,2983,2.837,2984,2.837,2985,2.837,2986,4.64,2987,4.549,2988,4.549,2989,3.765,2990,3.248,2991,4.549,2992,2.837,2993,2.347,2994,2.837,2995,2.347,2996,3.765,2997,2.837,2998,2.837,2999,2.837,3000,2.837,3001,2.837,3002,2.837,3003,2.837,3004,2.837,3005,2.837,3006,2.837,3007,2.837,3008,2.837,3009,2.837,3010,2.347,3011,2.837,3012,2.837,3013,2.837,3014,2.837,3015,2.837,3016,2.837,3017,2.837,3018,2.837,3019,2.837,3020,2.837,3021,2.837,3022,2.837,3023,2.837,3024,2.837,3025,2.837,3026,2.837,3027,2.837,3028,2.837,3029,2.837,3030,2.837,3031,2.837,3032,2.837,3033,2.837,3034,2.837,3035,2.837,3036,2.837,3037,2.837,3038,2.837,3039,2.837,3040,2.837,3041,2.837,3042,2.837,3043,3.953,3044,2.837,3045,3.953,3046,2.837,3047,2.837,3048,2.837,3049,2.837,3050,2.837,3051,2.837,3052,2.837,3053,2.837,3054,2.837,3055,2.837,3056,2.837,3057,2.837,3058,2.837,3059,3.953,3060,2.837,3061,2.837,3062,2.837,3063,2.837,3064,2.837]],["t/21",[23,0.015,30,0.167,876,0.561,1251,0.909]],["b/21",[1,0.015,2,0.19,3,0.028,4,0.071,5,0.015,6,0.022,7,0.037,8,0.03,9,0.015,10,0.015,11,0.021,12,0.021,13,0.015,14,0.015,15,0.015,16,0.312,17,0.025,18,0.021,19,0.021,20,0.015,21,0.112,22,0.139,23,0.032,24,0.015,25,0.071,26,0.061,27,0.015,28,0.015,29,0.015,30,0.358,31,0.021,32,0.021,33,0.015,34,0.021,35,0.021,36,0.021,37,0.026,38,0.015,39,0.015,40,0.015,41,0.015,42,0.015,43,0.015,44,0.047,45,0.047,46,0.047,47,0.067,48,0.08,49,0.114,50,0.08,51,0.047,52,0.08,53,0.553,62,0.103,72,1.646,80,1.321,85,0.743,88,1.124,90,0.446,93,1.195,94,0.612,95,0.553,96,0.243,97,0.79,100,0.309,102,0.956,104,0.743,108,0.351,109,1.124,115,0.553,121,0.817,122,0.79,124,0.015,125,0.015,126,0.015,127,0.015,128,0.015,129,0.015,130,0.015,131,0.015,132,0.114,133,0.015,134,0.015,135,0.015,136,0.015,138,0.762,145,1.084,149,0.897,152,1.019,160,0.437,162,1.988,164,1.166,165,0.636,166,0.743,167,1.468,174,0.743,175,1.061,176,1.061,177,1.061,180,3.108,181,3.108,182,3.108,183,3.108,184,3.108,185,1.64,186,2.534,187,3.108,188,3.108,189,3.108,190,3.108,191,3.108,192,3.991,193,2.738,195,0.498,197,1.166,198,2.165,200,1.547,201,1.298,202,2.93,203,2.165,204,1.868,205,2.165,206,1.359,207,2.165,208,2.165,209,2.165,210,2.165,211,2.165,212,2.165,213,3.089,214,2.165,215,2.165,216,2.165,217,0.964,218,3.089,219,3.089,220,2.165,221,2.165,222,3.089,223,3.089,224,3.602,225,2.165,226,2.165,227,2.165,228,2.165,229,2.165,230,2.165,231,2.165,232,1.868,244,0.397,248,0.986,284,1.084,286,2.165,291,1.789,292,1.885,293,0.986,296,2.165,298,2.165,300,2.165,301,2.165,304,2.165,306,2.165,307,2.165,308,2.165,311,2.165,312,2.165,313,0.986,316,2.165,318,2.165,319,1.084,321,2.165,323,2.165,326,2.165,328,2.165,329,2.165,330,2.165,332,2.165,335,2.165,337,2.165,338,3.389,341,2.165,343,2.165,344,1.195,346,2.165,348,2.165,349,1.868,352,2.165,354,2.165,355,2.165,357,2.165,359,2.165,363,1.468,364,1.136,374,1.868,379,0.498,471,1.237,480,1.646,503,0.224,506,0.553,508,0.986,517,1.321,518,0.817,559,1.628,560,1.468,561,1.084,566,0.986,575,1.646,577,0.675,586,2.165,630,1.321,680,1.407,691,1.084,693,1.195,694,0.743,698,0.986,702,1.547,705,1.868,706,1.084,708,1.061,727,2.165,751,1.281,753,1.468,758,2.165,791,1.868,792,1.646,794,2.165,824,0.373,825,0.694,827,1.111,869,1.281,876,1.162,889,0.897,890,1.084,915,2.165,938,1.084,960,0.964,1017,0.675,1037,2.198,1039,3.108,1041,3.928,1099,1.64,1109,1.084,1142,2.738,1144,0.612,1175,1.868,1251,1.843,1352,0.897,1353,1.349,1382,1.646,1399,1.868,1411,2.665,1414,3.389,1422,1.281,1515,1.868,1519,1.868,1589,1.195,1608,1.885,1610,2.096,1665,2.165,1720,2.165,1721,2.165,1738,1.868,1770,1.868,1837,1.705,1839,1.988,1848,1.547,1896,1.868,1910,1.868,1931,2.165,1934,2.165,1942,1.868,1955,1.468,2005,1.468,2129,1.468,2144,1.321,2160,1.468,2210,1.084,2238,2.165,2254,1.868,2307,2.198,2334,2.165,2411,1.646,2426,1.868,2428,3.389,2468,1.705,2533,2.165,2743,1.868,2805,1.868,2858,2.165,2946,2.165,3065,2.616,3066,2.616,3067,3.733,3068,2.616,3069,2.616,3070,2.616,3071,2.616,3072,2.616,3073,2.616,3074,2.165,3075,2.616,3076,2.616,3077,2.616,3078,2.616,3079,2.616,3080,2.616,3081,2.616,3082,3.089,3083,2.616,3084,2.616,3085,3.733,3086,1.868,3087,2.616,3088,2.616,3089,2.616,3090,3.733,3091,2.616,3092,2.616,3093,5.019,3094,2.616,3095,2.616,3096,2.616,3097,3.733,3098,3.389,3099,2.616,3100,1.868,3101,3.733,3102,2.616,3103,2.165,3104,2.616,3105,2.616,3106,2.616,3107,3.733,3108,3.733,3109,3.733,3110,3.733,3111,4.353,3112,2.616,3113,2.616,3114,2.616,3115,2.616,3116,2.616,3117,2.616,3118,2.616,3119,2.616,3120,2.616,3121,2.616,3122,2.616,3123,2.165,3124,2.165,3125,2.165,3126,2.165,3127,3.602,3128,2.616,3129,2.165,3130,2.165,3131,2.165,3132,2.165,3133,4.747,3134,3.089,3135,2.616,3136,2.616,3137,2.616,3138,2.616,3139,2.616,3140,2.616,3141,2.616,3142,2.616,3143,2.616,3144,2.616,3145,2.616,3146,2.616,3147,2.616,3148,2.616,3149,2.616,3150,2.616,3151,2.616,3152,2.616]],["t/22",[30,0.124,31,0.011,876,0.414,936,0.811,1778,1.398,1929,1.232,2825,1.398]],["b/22",[1,0.023,2,0.199,3,0.023,4,0.065,5,0.013,6,0.013,7,0.037,8,0.029,9,0.013,10,0.013,11,0.013,12,0.019,13,0.013,14,0.013,15,0.013,16,0.312,17,0.029,18,0.029,19,0.023,20,0.013,21,0.104,22,0.137,23,0.025,24,0.013,25,0.065,26,0.065,27,0.013,28,0.013,29,0.013,30,0.341,31,0.023,32,0.019,33,0.013,34,0.019,35,0.023,36,0.013,37,0.02,38,0.013,39,0.013,40,0.013,41,0.013,42,0.013,43,0.013,44,0.041,45,0.041,46,0.061,47,0.061,48,0.07,49,0.07,50,0.07,51,0.041,52,0.07,53,0.717,60,1.442,62,0.105,70,1.044,73,1.897,75,1.636,80,1.157,84,1.442,85,0.964,87,1.897,88,1.152,89,1.405,90,0.578,94,0.536,95,0.485,96,0.252,97,0.854,98,0.786,100,0.163,102,0.769,104,0.651,105,1.157,108,0.668,109,0.592,115,0.485,118,1.712,124,0.013,125,0.013,126,0.013,127,0.013,128,0.013,129,0.013,130,0.013,131,0.013,132,0.1,133,0.013,134,0.013,135,0.013,136,0.013,138,0.613,149,1.384,152,0.945,160,0.473,163,0.716,164,1.26,165,0.541,166,0.651,168,1.157,171,1.636,174,1.147,176,1.267,195,0.646,196,0.864,197,1.393,200,0.95,201,1.12,217,0.592,244,0.348,245,1.636,246,1.442,253,2.672,265,1.442,283,1.157,291,1.681,292,1.712,293,0.864,313,0.864,319,0.95,361,0.592,362,0.864,363,1.903,364,0.717,374,1.636,379,0.436,383,1.636,390,1.897,398,1.897,404,2.038,406,0.786,412,2.133,445,0.786,469,1.157,479,1.157,497,1.12,503,0.427,506,0.717,516,1.636,526,0.716,552,1.047,553,0.592,554,1.548,559,1.163,561,0.95,565,0.592,566,1.278,569,1.442,618,1.157,622,1.442,636,1.681,644,1.157,680,0.864,691,0.95,697,2.672,702,0.95,707,0.592,715,1.636,716,1.897,724,1.442,759,1.157,787,1.059,812,0.964,816,1.287,823,0.716,824,0.427,825,0.726,827,1.266,861,2.806,869,1.53,876,0.854,877,1.903,882,1.636,892,0.982,899,1.152,905,2.47,907,2.28,913,1.157,914,1.157,916,1.897,918,1.147,920,2.133,926,1.897,929,1.897,932,1.157,936,1.672,938,1.848,945,1.442,953,1.047,956,2.038,960,0.592,965,2.266,978,0.95,1017,0.592,1031,1.157,1044,0.95,1082,0.875,1085,0.786,1099,0.864,1106,0.716,1130,1.897,1144,0.536,1196,4.937,1219,1.903,1224,1.636,1230,1.405,1233,1.897,1241,2.133,1352,1.163,1353,1.267,1357,1.878,1361,1.405,1383,1.636,1398,2.504,1409,1.157,1411,1.287,1422,1.163,1429,2.133,1438,2.778,1508,1.897,1533,2.421,1537,2.806,1546,1.157,1547,1.442,1589,1.047,1603,1.521,1616,0.786,1619,3.781,1626,1.636,1630,1.903,1634,1.897,1639,1.287,1654,1.636,1658,1.636,1714,1.636,1716,1.897,1730,2.806,1774,1.157,1778,3.399,1779,1.636,1788,1.897,1791,1.047,1819,1.636,1824,1.897,1826,1.897,1827,1.897,1828,1.636,1839,2.037,1864,2.882,1874,1.712,1884,1.636,1899,1.636,1910,1.636,1914,2.806,1916,1.897,1927,1.897,1929,3.136,1933,1.897,1944,1.636,2078,1.047,2095,2.806,2096,2.806,2100,1.157,2144,1.157,2145,1.897,2156,1.636,2210,0.95,2239,1.897,2257,1.897,2269,1.636,2270,1.897,2292,1.636,2306,1.903,2307,2.517,2323,1.897,2324,3.691,2340,1.897,2368,1.897,2369,2.806,2372,1.897,2412,3.691,2477,2.806,2485,2.806,2488,4.125,2542,1.636,2544,4.383,2698,2.806,2714,1.897,2743,1.636,2795,1.636,2797,1.636,2815,1.897,2824,1.636,2825,2.882,2878,1.712,2990,2.882,3082,1.897,3086,1.636,3098,2.421,3103,1.897,3123,1.897,3153,2.292,3154,3.391,3155,2.292,3156,2.292,3157,3.391,3158,2.292,3159,2.292,3160,2.292,3161,3.391,3162,2.292,3163,2.292,3164,2.292,3165,2.292,3166,4.761,3167,4.761,3168,3.391,3169,3.391,3170,3.391,3171,4.036,3172,4.461,3173,2.292,3174,5.502,3175,2.292,3176,2.292,3177,2.292,3178,2.292,3179,2.292,3180,2.292,3181,2.292,3182,2.292,3183,2.292,3184,2.292,3185,2.292,3186,2.292,3187,2.292,3188,2.292,3189,2.292,3190,2.292,3191,2.292,3192,2.292,3193,2.292,3194,2.292,3195,2.292,3196,2.292,3197,2.292,3198,2.292,3199,2.292,3200,2.292,3201,3.391,3202,2.292,3203,2.292,3204,5.296,3205,3.391,3206,3.391,3207,3.391,3208,4.985,3209,3.391,3210,3.391,3211,2.292,3212,2.292,3213,2.292,3214,5.296,3215,2.292,3216,4.036,3217,2.292,3218,3.391,3219,2.292,3220,3.391,3221,3.391,3222,2.292,3223,2.292,3224,2.292,3225,2.292,3226,3.391,3227,2.292,3228,2.292,3229,3.391,3230,2.292,3231,2.292,3232,4.036,3233,2.292,3234,2.292,3235,5.502,3236,4.036,3237,2.292,3238,2.292,3239,2.292,3240,2.292,3241,2.292,3242,2.292,3243,2.292,3244,2.292,3245,5.502,3246,2.292,3247,2.292,3248,1.636,3249,2.292,3250,2.292,3251,2.292,3252,3.391,3253,2.292,3254,3.34,3255,2.292,3256,5.502,3257,3.391,3258,2.292,3259,2.292,3260,2.292,3261,2.292,3262,3.391,3263,2.292,3264,2.292,3265,2.292,3266,2.292,3267,2.292,3268,2.292,3269,2.292,3270,2.292,3271,3.391,3272,1.636,3273,2.292,3274,2.292,3275,2.292,3276,2.292,3277,2.292,3278,2.292,3279,2.292,3280,2.292,3281,2.292,3282,2.292,3283,3.391,3284,2.292,3285,2.292,3286,2.292,3287,2.292,3288,2.292,3289,2.292,3290,2.292,3291,2.292,3292,2.292,3293,2.292,3294,2.292,3295,2.292,3296,2.292,3297,2.292,3298,2.292,3299,2.292,3300,2.292,3301,2.292,3302,2.292,3303,2.292,3304,2.292,3305,2.292,3306,4.461,3307,2.292,3308,2.292,3309,2.292,3310,4.036,3311,2.292,3312,2.292,3313,2.292,3314,3.34,3315,3.391,3316,3.391,3317,2.292,3318,2.292,3319,2.292,3320,2.292,3321,2.292,3322,2.292,3323,2.292,3324,2.292,3325,2.292,3326,2.292,3327,2.292,3328,3.391,3329,2.292,3330,2.292,3331,2.292,3332,2.292,3333,2.292,3334,2.292,3335,2.292,3336,2.292,3337,2.292,3338,2.292,3339,2.292,3340,2.292,3341,2.292,3342,2.292,3343,2.292,3344,2.292,3345,3.391,3346,3.391,3347,2.292,3348,2.292,3349,2.292,3350,2.292,3351,2.292,3352,2.292,3353,3.391,3354,2.292,3355,2.292,3356,2.292,3357,2.292,3358,2.292]],["t/23",[30,0.15,32,0.013,624,0.982,1085,0.813,3359,1.962]],["b/23",[1,0.017,2,0.161,3,0.028,4,0.076,5,0.017,6,0.017,7,0.037,8,0.023,9,0.017,10,0.017,11,0.017,12,0.017,13,0.024,14,0.027,15,0.017,16,0.336,17,0.026,18,0.017,19,0.017,20,0.03,21,0.12,22,0.146,23,0.031,24,0.017,25,0.076,26,0.066,27,0.017,28,0.017,29,0.017,30,0.367,31,0.017,32,0.023,33,0.017,34,0.017,35,0.023,36,0.028,37,0.024,38,0.017,39,0.017,40,0.017,41,0.017,42,0.017,43,0.017,44,0.053,45,0.053,46,0.053,47,0.073,48,0.09,49,0.09,50,0.09,51,0.053,52,0.09,58,1.119,62,0.097,88,0.767,90,0.507,96,0.218,97,0.628,100,0.374,102,0.888,103,2.121,104,1.16,108,0.625,115,0.628,122,0.628,123,1.869,124,0.017,125,0.017,126,0.017,127,0.017,128,0.017,129,0.017,130,0.017,131,0.017,132,0.129,133,0.017,134,0.017,135,0.017,136,0.017,138,0.451,149,1.019,152,0.695,155,1.668,165,0.398,166,0.844,175,0.844,176,1.16,185,1.538,195,0.566,245,2.121,253,1.668,256,1.231,262,1.869,361,0.767,364,1.15,370,1.869,470,1.869,471,0.844,479,1.5,503,0.399,506,0.628,516,2.121,518,1.456,526,1.274,567,0.928,569,1.869,577,0.767,579,2.458,618,1.5,624,1.691,630,1.5,631,1.5,702,1.231,709,1.119,773,1.668,784,2.121,787,0.928,812,0.844,820,2.121,824,0.255,825,0.682,827,1.231,876,0.986,890,1.231,892,0.566,899,1.054,900,1.119,902,1.356,905,2.129,907,1.691,932,1.5,933,1.356,941,1.119,953,1.356,960,1.358,978,1.231,1033,1.869,1044,1.691,1058,1.356,1084,1.668,1085,1.599,1087,1.869,1089,1.119,1098,1.869,1099,1.891,1100,1.869,1101,3.328,1102,2.617,1103,2.291,1104,2.121,1105,2.121,1106,0.928,1107,1.691,1109,1.231,1110,2.121,1113,2.121,1114,1.869,1115,1.668,1116,1.5,1117,2.291,1118,2.121,1119,2.121,1121,1.356,1122,1.119,1123,1.356,1132,1.668,1144,0.695,1194,2.567,1219,1.668,1222,2.914,1251,1.019,1353,1.426,1357,2.137,1361,2.349,1387,2.458,1422,1.019,1444,1.869,1546,1.5,1553,2.121,1563,1.869,1608,1.5,1610,1.668,1616,1.4,1787,2.458,1837,2.658,1839,2.627,1848,2.08,1903,1.691,1955,2.817,2044,2.567,2055,2.121,2078,1.356,2100,2.354,2144,1.5,2247,1.869,2289,2.458,2292,2.121,2307,2.863,2390,2.458,2459,1.869,2468,2.292,2824,2.914,2866,4.607,2878,1.5,2898,4.498,2899,4.353,2986,2.458,2989,3.858,3074,2.458,3086,2.121,3098,3.88,3100,2.121,3125,2.458,3126,3.858,3248,2.121,3272,2.121,3359,3.858,3360,2.971,3361,2.971,3362,2.971,3363,2.971,3364,2.971,3365,2.971,3366,5.435,3367,2.971,3368,5.019,3369,5.019,3370,5.019,3371,5.019,3372,5.019,3373,2.971,3374,2.971,3375,2.971,3376,2.971,3377,2.971,3378,2.971,3379,3.377,3380,2.971,3381,2.971,3382,3.377,3383,2.971,3384,5.261,3385,4.353,3386,5.567,3387,2.971,3388,2.971,3389,5.435,3390,2.971,3391,2.971,3392,2.971,3393,2.971,3394,2.971,3395,4.081,3396,2.971,3397,4.081,3398,2.971,3399,4.662,3400,4.662,3401,2.971,3402,4.081,3403,4.081,3404,4.081,3405,2.971,3406,2.971,3407,2.971,3408,2.971,3409,2.971,3410,2.971,3411,2.971,3412,2.971,3413,2.971,3414,2.458,3415,2.971,3416,4.081,3417,2.971,3418,2.971,3419,2.971,3420,2.971,3421,2.971,3422,2.971,3423,2.971,3424,2.971,3425,2.971,3426,2.971,3427,4.081,3428,2.971,3429,4.081,3430,2.971,3431,4.081,3432,2.971,3433,4.662,3434,2.971,3435,2.971,3436,2.971,3437,2.971,3438,2.971,3439,2.971,3440,2.971,3441,2.971,3442,4.662,3443,2.971,3444,2.971,3445,2.971,3446,2.971,3447,4.081,3448,2.971,3449,2.971,3450,2.971,3451,2.971,3452,2.971,3453,2.971,3454,2.971,3455,2.971,3456,2.971,3457,5.019,3458,4.662,3459,4.081,3460,2.971,3461,2.971,3462,2.971,3463,2.971,3464,2.971,3465,2.971,3466,2.971,3467,2.971,3468,2.971,3469,2.971,3470,2.971,3471,2.971,3472,2.971,3473,2.971,3474,2.971,3475,2.971,3476,2.971,3477,2.971,3478,2.971,3479,4.081]],["t/24",[30,0.15,33,0.013,805,1.083,876,0.501,2826,1.693]],["b/24",[1,0.023,2,0.174,3,0.023,4,0.067,5,0.018,6,0.028,7,0.036,8,0.03,9,0.018,10,0.018,11,0.017,12,0.017,13,0.024,14,0.024,15,0.017,16,0.3,17,0.03,18,0.017,19,0.017,20,0.017,21,0.121,22,0.13,23,0.023,24,0.017,25,0.076,26,0.067,27,0.017,28,0.018,29,0.018,30,0.364,31,0.027,32,0.017,33,0.023,34,0.017,35,0.017,36,0.023,37,0.024,38,0.018,39,0.017,40,0.017,41,0.017,42,0.018,43,0.017,44,0.054,45,0.054,46,0.054,47,0.074,48,0.092,49,0.125,50,0.092,51,0.054,52,0.092,62,0.091,70,0.706,76,1.693,85,0.857,89,1.249,90,0.514,96,0.251,97,0.872,100,0.293,102,0.574,108,0.404,109,0.778,115,1.068,121,0.942,122,0.638,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.131,133,0.018,134,0.018,135,0.018,136,0.018,165,0.63,166,0.857,173,1.523,177,0.857,195,0.574,196,1.136,206,0.942,217,1.409,244,0.803,250,1.523,256,1.708,262,1.897,299,2.495,364,0.994,383,2.153,404,1.523,472,3.412,475,2.153,479,1.523,526,1.288,553,1.064,567,0.942,573,1.897,624,1.249,691,1.249,694,1.435,708,0.857,751,1.034,753,1.693,773,1.693,792,1.897,805,2.415,823,0.942,824,0.353,825,0.711,827,1.099,869,1.034,876,0.994,881,0.942,892,0.574,899,0.778,900,1.136,902,1.377,905,2.415,907,2.191,917,3.888,918,0.857,932,1.523,938,1.249,941,1.136,942,2.306,950,2.314,960,0.778,1001,1.693,1017,0.778,1065,1.897,1066,3.606,1069,1.377,1072,2.153,1085,1.034,1089,1.136,1104,2.153,1121,1.377,1122,1.136,1123,2.145,1124,1.136,1126,3.354,1132,2.637,1144,0.706,1158,2.495,1219,1.693,1230,1.249,1246,2.153,1251,1.414,1253,2.495,1352,1.414,1353,1.551,1357,2.221,1361,1.249,1398,3.065,1414,2.943,1422,1.034,1429,3.327,1438,2.082,1444,1.897,1448,2.495,1515,2.943,1544,2.153,1546,1.523,1547,1.897,1550,1.377,1589,1.883,1606,2.594,1616,1.814,1617,1.377,1628,1.377,1639,1.693,1644,4.179,1732,3.888,1733,1.693,1738,2.153,1770,2.153,1774,1.523,1848,1.249,1855,2.495,1874,1.523,1955,2.314,1982,2.495,1995,1.249,2144,2.082,2156,2.943,2247,1.897,2322,2.495,2459,1.897,2468,1.377,2542,3.606,2642,2.495,2795,2.153,2797,2.153,2826,3.354,2878,1.523,2990,2.943,2993,2.495,2996,2.495,3100,2.943,3124,2.495,3127,4.376,3129,2.495,3130,3.412,3131,2.495,3132,3.412,3134,2.495,3248,2.153,3254,2.495,3379,4.376,3382,3.412,3385,3.888,3414,4.376,3480,3.015,3481,3.015,3482,3.015,3483,3.015,3484,3.015,3485,3.015,3486,4.123,3487,3.015,3488,3.015,3489,4.123,3490,4.123,3491,3.015,3492,3.015,3493,3.015,3494,3.015,3495,4.123,3496,4.123,3497,4.123,3498,4.123,3499,4.123,3500,4.123,3501,4.123,3502,4.123,3503,4.123,3504,4.123,3505,4.123,3506,3.015,3507,3.015,3508,4.123,3509,4.123,3510,4.698,3511,3.015,3512,3.015,3513,3.015,3514,3.015,3515,3.015,3516,3.015,3517,3.015,3518,3.015,3519,3.015,3520,4.698,3521,3.015,3522,3.015,3523,3.015,3524,3.015,3525,3.015,3526,4.123,3527,3.015,3528,3.015,3529,3.015,3530,3.015,3531,3.015,3532,4.698,3533,3.015,3534,4.123,3535,2.495,3536,3.015,3537,3.015,3538,3.015,3539,3.015,3540,3.015,3541,3.015,3542,3.015,3543,4.123,3544,4.123,3545,3.015,3546,4.123,3547,4.123,3548,4.123,3549,3.015,3550,3.015,3551,5.05,3552,3.015,3553,3.015,3554,3.015,3555,3.015,3556,3.015,3557,3.015,3558,3.015,3559,3.015,3560,3.015,3561,3.015,3562,3.015,3563,3.015,3564,3.015,3565,3.015,3566,4.698,3567,4.123,3568,3.015,3569,3.015,3570,3.015,3571,4.698,3572,4.698,3573,3.015,3574,3.015,3575,2.495,3576,4.123,3577,4.123,3578,4.123,3579,3.015,3580,3.015,3581,3.015,3582,3.015,3583,3.015,3584,3.015,3585,3.015,3586,3.015,3587,3.015,3588,3.015,3589,3.015,3590,3.412,3591,3.015,3592,3.015,3593,3.015,3594,2.495,3595,3.015,3596,3.015,3597,3.015,3598,3.015,3599,3.015,3600,3.015,3601,3.015,3602,3.015,3603,3.015,3604,3.015,3605,3.015,3606,3.015,3607,3.015,3608,3.015,3609,3.015,3610,3.015,3611,3.015,3612,3.015,3613,3.015,3614,3.015,3615,3.015,3616,3.015,3617,4.123,3618,3.015,3619,3.015,3620,3.015,3621,3.015,3622,3.015,3623,4.123,3624,3.015,3625,3.015,3626,3.015]],["t/25",[16,0.135,30,0.15,34,0.013,1210,0.813,1666,1.331]],["b/25",[1,0.027,2,0.185,3,0.027,4,0.069,5,0.018,6,0.025,7,0.037,8,0.03,9,0.018,10,0.018,11,0.018,12,0.018,13,0.028,14,0.025,15,0.018,16,0.314,17,0.024,18,0.018,19,0.018,20,0.03,21,0.124,22,0.133,23,0.027,24,0.018,25,0.078,26,0.069,27,0.018,28,0.018,29,0.018,30,0.367,31,0.018,32,0.024,33,0.018,34,0.029,35,0.024,36,0.018,37,0.025,38,0.018,39,0.018,40,0.018,41,0.018,42,0.025,43,0.018,44,0.056,45,0.056,46,0.056,47,0.076,48,0.096,49,0.129,50,0.096,51,0.056,52,0.096,62,0.056,96,0.233,97,0.666,100,0.223,108,0.422,114,3.478,124,0.018,125,0.018,126,0.018,127,0.018,128,0.018,129,0.018,130,0.018,131,0.018,132,0.137,133,0.018,134,0.018,135,0.018,136,0.018,138,0.478,159,2.246,160,0.368,162,1.938,166,0.894,167,1.766,175,0.894,186,1.589,193,1.979,201,1.215,206,0.983,217,1.096,244,0.478,291,1.186,364,0.898,404,1.589,479,1.589,497,0.666,503,0.364,508,1.186,526,1.325,559,1.079,629,1.766,636,1.186,694,1.206,698,1.186,708,1.655,736,1.304,751,1.456,815,1.979,823,0.983,824,0.504,825,0.673,892,1.022,899,1.096,900,1.599,902,1.938,905,2.525,907,2.291,918,0.894,938,1.99,941,1.186,942,1.437,960,0.812,996,4.035,1001,1.766,1017,0.812,1030,2.604,1037,1.589,1039,3.03,1064,2.246,1069,1.938,1070,2.246,1089,1.599,1106,0.983,1121,1.938,1122,1.599,1123,1.938,1124,1.186,1132,1.766,1142,2.67,1143,1.186,1172,2.604,1186,2.143,1210,1.971,1219,2.382,1230,1.304,1365,1.979,1368,3.03,1375,2.604,1436,2.604,1438,2.595,1544,2.246,1603,1.599,1616,1.079,1620,1.979,1631,1.979,1632,3.512,1639,1.766,1656,1.979,1666,2.382,1667,3.03,1717,2.604,1718,2.604,1733,1.766,1874,1.589,1882,3.974,1883,2.604,1901,2.246,1920,2.67,1943,2.604,1995,1.304,2065,2.604,2071,2.246,2104,1.979,2120,3.021,2122,1.766,2123,1.766,2124,1.766,2125,1.766,2126,1.766,2127,1.766,2130,3.03,2143,2.246,2197,2.67,2210,1.304,2235,2.246,2236,2.246,2411,1.979,2426,2.246,2428,2.246,2458,2.604,2460,2.246,2547,3.512,2548,3.512,2878,1.589,2995,2.604,3010,2.604,3272,2.246,3314,4.677,3535,2.604,3575,2.604,3590,2.604,3594,2.604,3627,3.146,3628,3.146,3629,3.146,3630,3.146,3631,3.146,3632,3.146,3633,4.802,3634,3.146,3635,4.244,3636,3.146,3637,3.146,3638,3.146,3639,3.146,3640,3.146,3641,3.146,3642,3.146,3643,4.244,3644,3.146,3645,3.146,3646,3.146,3647,3.146,3648,3.146,3649,3.146,3650,3.146,3651,3.146,3652,3.146,3653,3.146,3654,3.146,3655,3.146,3656,4.244,3657,3.146,3658,3.146,3659,3.146,3660,3.146,3661,3.146,3662,3.146,3663,3.146,3664,3.146,3665,3.146,3666,3.146,3667,3.146,3668,3.146,3669,3.146,3670,3.974,3671,3.146,3672,3.146,3673,3.146,3674,3.146,3675,3.146,3676,3.146,3677,3.146,3678,3.146,3679,4.244,3680,3.146,3681,4.244,3682,3.146,3683,3.146,3684,3.146,3685,3.146,3686,4.244,3687,3.146,3688,3.146,3689,3.146,3690,3.146,3691,3.146,3692,3.146,3693,3.146,3694,3.146,3695,3.146,3696,3.146,3697,3.146,3698,5.14,3699,3.146,3700,3.146,3701,3.146,3702,3.146,3703,3.146,3704,3.146,3705,3.146,3706,3.146,3707,3.146,3708,3.146,3709,3.146,3710,3.146,3711,3.146,3712,3.146,3713,3.146,3714,3.146,3715,3.146,3716,3.146,3717,3.146,3718,3.146,3719,3.146,3720,3.146,3721,3.146,3722,3.146]],["t/26",[30,0.15,35,0.013,61,0.813,160,0.278,1903,0.982]],["b/26",[1,0.023,2,0.194,3,0.028,4,0.08,5,0.023,6,0.029,7,0.036,8,0.028,9,0.023,10,0.023,11,0.023,12,0.023,13,0.029,14,0.032,15,0.023,16,0.319,17,0.028,18,0.023,19,0.023,20,0.031,21,0.139,22,0.152,23,0.028,24,0.023,25,0.087,26,0.08,27,0.023,28,0.023,29,0.023,30,0.384,31,0.023,32,0.023,33,0.023,34,0.023,35,0.028,36,0.023,37,0.029,38,0.023,39,0.023,40,0.023,41,0.023,42,0.023,43,0.023,44,0.072,45,0.072,46,0.072,47,0.089,48,0.122,49,0.122,50,0.122,51,0.072,52,0.122,61,1.37,62,0.089,70,0.935,93,1.824,96,0.173,100,0.382,124,0.023,125,0.023,126,0.023,127,0.023,128,0.023,129,0.023,130,0.023,131,0.023,132,0.173,133,0.023,134,0.023,135,0.023,136,0.023,160,0.468,166,1.135,250,2.017,379,0.761,497,1.336,566,1.505,693,1.824,694,1.135,706,1.655,707,1.279,787,1.248,823,1.248,824,0.505,825,0.678,889,1.37,933,1.824,996,3.536,1072,2.852,1089,1.505,1121,1.824,1122,1.505,1123,1.824,1132,2.242,1144,0.935,1240,1.505,1246,2.852,1353,1.135,1373,3.306,1422,1.37,1603,1.505,1606,2.513,1630,2.242,1639,2.242,1823,2.852,1848,1.655,1903,1.655,2071,2.852,2329,2.852,2460,2.852,2468,2.262,2526,3.306,2550,2.852,3670,4.099,3723,3.995,3724,3.995,3725,3.995,3726,3.995,3727,3.995,3728,3.995,3729,3.995,3730,3.995,3731,4.953,3732,3.995,3733,3.995,3734,3.995,3735,3.995,3736,3.995,3737,3.995,3738,3.995,3739,3.995,3740,5.384,3741,3.995,3742,3.995,3743,3.995,3744,3.995,3745,3.995,3746,3.995,3747,3.995,3748,3.995,3749,3.995,3750,3.995,3751,3.995,3752,3.995,3753,3.995,3754,3.995,3755,3.995,3756,3.995,3757,3.995]],["t/27",[7,0.017,1898,1.686,3758,3.004]],["b/27",[1,0.026,2,0.197,3,0.026,4,0.074,5,0.027,6,0.027,7,0.036,8,0.026,9,0.027,10,0.027,11,0.026,12,0.026,13,0.027,14,0.027,15,0.026,16,0.323,17,0.026,18,0.026,19,0.026,20,0.026,21,0.147,22,0.147,23,0.03,24,0.026,25,0.092,26,0.087,27,0.026,28,0.027,29,0.027,30,0.39,31,0.026,32,0.026,33,0.026,34,0.026,35,0.026,36,0.026,37,0.031,38,0.027,39,0.026,40,0.026,41,0.026,42,0.027,43,0.026,124,0.027,125,0.027,126,0.027,127,0.027,128,0.027,129,0.027,130,0.027,131,0.027,132,0.198,133,0.027,134,0.027,135,0.027,136,0.027,174,1.293,518,1.421,720,3.248,1898,2.553]]],"invertedIndex":[["",{"_index":7,"t":{"27":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["0",{"_index":206,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"11":{},"13":{},"16":{},"17":{},"21":{},"24":{},"25":{}}}],["0.0",{"_index":217,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"13":{},"16":{},"21":{},"22":{},"24":{},"25":{}}}],["0.0001",{"_index":1130,"t":{},"b":{"4":{},"22":{}}}],["0.000692",{"_index":3117,"t":{},"b":{"21":{}}}],["0.001636",{"_index":3187,"t":{},"b":{"22":{}}}],["0.001716",{"_index":3185,"t":{},"b":{"22":{}}}],["0.002",{"_index":3209,"t":{},"b":{"22":{}}}],["0.003",{"_index":3205,"t":{},"b":{"22":{}}}],["0.0031384",{"_index":3193,"t":{},"b":{"22":{}}}],["0.0038344",{"_index":3181,"t":{},"b":{"22":{}}}],["0.0039192",{"_index":3183,"t":{},"b":{"22":{}}}],["0.004",{"_index":3207,"t":{},"b":{"22":{}}}],["0.0056096",{"_index":3189,"t":{},"b":{"22":{}}}],["0.006",{"_index":3206,"t":{},"b":{"22":{}}}],["0.00632",{"_index":203,"t":{},"b":{"1":{},"21":{}}}],["0.007",{"_index":3210,"t":{},"b":{"22":{}}}],["0.00931",{"_index":3122,"t":{},"b":{"21":{}}}],["0.01",{"_index":2544,"t":{},"b":{"17":{},"22":{}}}],["0.0123",{"_index":3120,"t":{},"b":{"21":{}}}],["0.01464",{"_index":2764,"t":{},"b":{"17":{}}}],["0.014946393332429867",{"_index":2974,"t":{},"b":{"20":{}}}],["0.01908",{"_index":2761,"t":{},"b":{"17":{}}}],["0.01914",{"_index":2794,"t":{},"b":{"17":{}}}],["0.01938",{"_index":2767,"t":{},"b":{"17":{}}}],["0.02",{"_index":3208,"t":{},"b":{"22":{}}}],["0.02022",{"_index":2758,"t":{},"b":{"17":{}}}],["0.0206",{"_index":3109,"t":{},"b":{"21":{}}}],["0.02729",{"_index":227,"t":{},"b":{"1":{},"21":{}}}],["0.02731",{"_index":216,"t":{},"b":{"1":{},"21":{}}}],["0.03",{"_index":1196,"t":{},"b":{"5":{},"22":{}}}],["0.03237",{"_index":233,"t":{},"b":{"1":{}}}],["0.0352",{"_index":1817,"t":{},"b":{"7":{}}}],["0.04",{"_index":3204,"t":{},"b":{"22":{}}}],["0.0464",{"_index":3108,"t":{},"b":{"21":{}}}],["0.04968535941630985",{"_index":2039,"t":{},"b":{"10":{}}}],["0.05",{"_index":2477,"t":{},"b":{"16":{},"22":{}}}],["0.0556",{"_index":1873,"t":{},"b":{"7":{}}}],["0.06859694610517136",{"_index":2038,"t":{},"b":{"10":{}}}],["0.06905",{"_index":251,"t":{},"b":{"1":{}}}],["0.06917",{"_index":307,"t":{},"b":{"1":{},"21":{}}}],["0.08334382428960498",{"_index":2041,"t":{},"b":{"10":{}}}],["0.09410638348155964",{"_index":2314,"t":{},"b":{"14":{}}}],["0.09988918161681738",{"_index":2048,"t":{},"b":{"10":{}}}],["0.1",{"_index":500,"t":{},"b":{"1":{},"4":{}}}],["0.1*rand(300",{"_index":2011,"t":{},"b":{"10":{},"14":{},"15":{}}}],["0.105386",{"_index":536,"t":{},"b":{"1":{}}}],["0.10592225645600521",{"_index":2036,"t":{},"b":{"10":{}}}],["0.108",{"_index":3107,"t":{},"b":{"21":{}}}],["0.111",{"_index":1872,"t":{},"b":{"7":{}}}],["0.1111111111111111",{"_index":2465,"t":{},"b":{"16":{}}}],["0.115878",{"_index":312,"t":{},"b":{"1":{},"21":{}}}],["0.11590837511873998",{"_index":2024,"t":{},"b":{"10":{}}}],["0.11813112049190187",{"_index":2042,"t":{},"b":{"10":{}}}],["0.124453",{"_index":1757,"t":{},"b":{"7":{}}}],["0.1308465569235377",{"_index":2037,"t":{},"b":{"10":{}}}],["0.14873128247437858",{"_index":2040,"t":{},"b":{"10":{}}}],["0.173664",{"_index":522,"t":{},"b":{"1":{}}}],["0.191073",{"_index":2353,"t":{},"b":{"14":{}}}],["0.19494098436892582",{"_index":2484,"t":{},"b":{"16":{}}}],["0.19577994695380313",{"_index":2728,"t":{},"b":{"17":{}}}],["0.197753",{"_index":539,"t":{},"b":{"1":{}}}],["0.2",{"_index":461,"t":{},"b":{"1":{},"8":{}}}],["0.22126530078919587",{"_index":2727,"t":{},"b":{"17":{}}}],["0.228572",{"_index":1763,"t":{},"b":{"7":{}}}],["0.234",{"_index":1638,"t":{},"b":{"6":{}}}],["0.246",{"_index":501,"t":{},"b":{"1":{}}}],["0.25",{"_index":2726,"t":{},"b":{"17":{}}}],["0.25264964046120225",{"_index":2180,"t":{},"b":{"11":{}}}],["0.253994",{"_index":308,"t":{},"b":{"1":{},"21":{}}}],["0.25651",{"_index":297,"t":{},"b":{"1":{}}}],["0.2581988897471611",{"_index":2725,"t":{},"b":{"17":{}}}],["0.274344",{"_index":1747,"t":{},"b":{"7":{}}}],["0.27465",{"_index":542,"t":{},"b":{"1":{}}}],["0.278",{"_index":1663,"t":{},"b":{"6":{}}}],["0.2999012171698161",{"_index":2315,"t":{},"b":{"14":{}}}],["0.3",{"_index":1036,"t":{},"b":{"4":{},"5":{}}}],["0.3013103535440822",{"_index":2319,"t":{},"b":{"14":{}}}],["0.306",{"_index":3119,"t":{},"b":{"21":{}}}],["0.313798",{"_index":538,"t":{},"b":{"1":{}}}],["0.32",{"_index":345,"t":{},"b":{"1":{}}}],["0.322497",{"_index":541,"t":{},"b":{"1":{}}}],["0.3277498771713516",{"_index":2137,"t":{},"b":{"11":{}}}],["0.32861",{"_index":2793,"t":{},"b":{"17":{}}}],["0.33028",{"_index":2766,"t":{},"b":{"17":{}}}],["0.33029",{"_index":2760,"t":{},"b":{"17":{}}}],["0.34601",{"_index":2763,"t":{},"b":{"17":{}}}],["0.35249",{"_index":534,"t":{},"b":{"1":{}}}],["0.360357",{"_index":3192,"t":{},"b":{"22":{}}}],["0.361854",{"_index":1756,"t":{},"b":{"7":{}}}],["0.3625",{"_index":2757,"t":{},"b":{"17":{}}}],["0.379064",{"_index":535,"t":{},"b":{"1":{}}}],["0.385",{"_index":309,"t":{},"b":{"1":{}}}],["0.39",{"_index":2294,"t":{},"b":{"13":{}}}],["0.3z",{"_index":989,"t":{},"b":{"4":{}}}],["0.4069405144799101",{"_index":2318,"t":{},"b":{"14":{}}}],["0.4111301767644082",{"_index":2317,"t":{},"b":{"14":{}}}],["0.4174696748484731",{"_index":2904,"t":{},"b":{"19":{}}}],["0.458",{"_index":235,"t":{},"b":{"1":{}}}],["0.46",{"_index":302,"t":{},"b":{"1":{}}}],["0.469",{"_index":219,"t":{},"b":{"1":{},"21":{}}}],["0.469911",{"_index":523,"t":{},"b":{"1":{}}}],["0.5",{"_index":1219,"t":{},"b":{"5":{},"22":{},"23":{},"24":{},"25":{}}}],["0.5*y1",{"_index":2565,"t":{},"b":{"17":{}}}],["0.5*y2",{"_index":2721,"t":{},"b":{"17":{}}}],["0.5*y2nod",{"_index":2566,"t":{},"b":{"17":{}}}],["0.516171",{"_index":537,"t":{},"b":{"1":{}}}],["0.521",{"_index":3262,"t":{},"b":{"22":{}}}],["0.525",{"_index":3123,"t":{},"b":{"21":{},"22":{}}}],["0.5303646605536807",{"_index":2313,"t":{},"b":{"14":{}}}],["0.538",{"_index":207,"t":{},"b":{"1":{},"21":{}}}],["0.5499402666491009",{"_index":2320,"t":{},"b":{"14":{}}}],["0.551895",{"_index":524,"t":{},"b":{"1":{}}}],["0.554695",{"_index":311,"t":{},"b":{"1":{},"21":{}}}],["0.572359",{"_index":1759,"t":{},"b":{"7":{}}}],["0.58",{"_index":665,"t":{},"b":{"2":{}}}],["0.6",{"_index":502,"t":{},"b":{"1":{},"5":{}}}],["0.625851",{"_index":1753,"t":{},"b":{"7":{}}}],["0.629",{"_index":3265,"t":{},"b":{"22":{}}}],["0.63588",{"_index":540,"t":{},"b":{"1":{}}}],["0.638",{"_index":670,"t":{},"b":{"2":{}}}],["0.690031",{"_index":2352,"t":{},"b":{"14":{}}}],["0.7",{"_index":2013,"t":{},"b":{"10":{},"13":{},"16":{}}}],["0.70",{"_index":901,"t":{},"b":{"4":{},"5":{}}}],["0.702617",{"_index":318,"t":{},"b":{"1":{},"21":{}}}],["0.70999",{"_index":1765,"t":{},"b":{"7":{}}}],["0.7142857142857143",{"_index":1404,"t":{},"b":{"5":{}}}],["0.7222222222222222",{"_index":2084,"t":{},"b":{"10":{}}}],["0.7233074812209765",{"_index":2905,"t":{},"b":{"19":{}}}],["0.75",{"_index":2188,"t":{},"b":{"11":{}}}],["0.776",{"_index":1415,"t":{},"b":{"5":{}}}],["0.777009169833947",{"_index":2316,"t":{},"b":{"14":{}}}],["0.782",{"_index":3263,"t":{},"b":{"22":{}}}],["0.7z",{"_index":990,"t":{},"b":{"4":{}}}],["0.8",{"_index":1791,"t":{},"b":{"7":{},"10":{},"11":{},"14":{},"15":{},"16":{},"22":{}}}],["0.805518",{"_index":3036,"t":{},"b":{"20":{}}}],["0.811827",{"_index":1743,"t":{},"b":{"7":{}}}],["0.8285714285714286",{"_index":1433,"t":{},"b":{"5":{}}}],["0.829",{"_index":660,"t":{},"b":{"2":{}}}],["0.831",{"_index":671,"t":{},"b":{"2":{}}}],["0.8495024908781252",{"_index":2321,"t":{},"b":{"14":{}}}],["0.854028",{"_index":2357,"t":{},"b":{"14":{}}}],["0.863",{"_index":666,"t":{},"b":{"2":{}}}],["0.871",{"_index":310,"t":{},"b":{"1":{}}}],["0.89744",{"_index":2597,"t":{},"b":{"17":{}}}],["0.90056",{"_index":2595,"t":{},"b":{"17":{}}}],["0.9436456234171869",{"_index":2906,"t":{},"b":{"19":{}}}],["0.94746",{"_index":2599,"t":{},"b":{"17":{}}}],["0.949",{"_index":1416,"t":{},"b":{"5":{}}}],["0.95",{"_index":3095,"t":{},"b":{"21":{}}}],["0.953",{"_index":3121,"t":{},"b":{"21":{}}}],["0.957449",{"_index":1762,"t":{},"b":{"7":{}}}],["0.9655342205668823",{"_index":2870,"t":{},"b":{"19":{}}}],["0.9933515571990573",{"_index":2871,"t":{},"b":{"19":{}}}],["0.9948656295933646",{"_index":2975,"t":{},"b":{"20":{}}}],["0.998859",{"_index":1755,"t":{},"b":{"7":{}}}],["0.9991510921213993",{"_index":2872,"t":{},"b":{"19":{}}}],["0.9997505816044248",{"_index":2907,"t":{},"b":{"19":{}}}],["0.9998956501446636",{"_index":2908,"t":{},"b":{"19":{}}}],["0.9999999999999998",{"_index":2909,"t":{},"b":{"19":{}}}],["01",{"_index":590,"t":{},"b":{"2":{}}}],["01,2019",{"_index":591,"t":{},"b":{"2":{}}}],["01t00:00:00",{"_index":613,"t":{},"b":{"2":{}}}],["01t00:00:00,true",{"_index":592,"t":{},"b":{"2":{}}}],["02",{"_index":615,"t":{},"b":{"2":{}}}],["02,2019",{"_index":594,"t":{},"b":{"2":{}}}],["02t00:00:00",{"_index":616,"t":{},"b":{"2":{}}}],["02t00:00:00,fals",{"_index":595,"t":{},"b":{"2":{}}}],["03",{"_index":619,"t":{},"b":{"2":{}}}],["03,2019",{"_index":597,"t":{},"b":{"2":{}}}],["03t00:00:00",{"_index":620,"t":{},"b":{"2":{}}}],["03t00:00:00,true",{"_index":598,"t":{},"b":{"2":{}}}],["0x00000001",{"_index":2260,"t":{},"b":{"13":{}}}],["0x00000002",{"_index":2261,"t":{},"b":{"13":{}}}],["0x00000003",{"_index":2259,"t":{},"b":{"13":{}}}],["1",{"_index":100,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"14":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["1)more",{"_index":1137,"t":{},"b":{"5":{}}}],["1,1.0,1,one,2019",{"_index":589,"t":{},"b":{"2":{}}}],["1.0",{"_index":497,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"12":{},"13":{},"16":{},"19":{},"20":{},"22":{},"25":{},"26":{}}}],["1.05874",{"_index":2354,"t":{},"b":{"14":{}}}],["1.06167",{"_index":2356,"t":{},"b":{"14":{}}}],["1.1",{"_index":3273,"t":{},"b":{"22":{}}}],["1.11715",{"_index":1745,"t":{},"b":{"7":{}}}],["1.1296",{"_index":324,"t":{},"b":{"1":{}}}],["1.13628",{"_index":3184,"t":{},"b":{"22":{}}}],["1.1363",{"_index":3182,"t":{},"b":{"22":{}}}],["1.13633",{"_index":3194,"t":{},"b":{"22":{}}}],["1.1387",{"_index":3186,"t":{},"b":{"22":{}}}],["1.13877",{"_index":3188,"t":{},"b":{"22":{}}}],["1.14755",{"_index":3190,"t":{},"b":{"22":{}}}],["1.16",{"_index":2293,"t":{},"b":{"13":{}}}],["1.2",{"_index":1827,"t":{},"b":{"7":{},"22":{}}}],["1.3",{"_index":467,"t":{},"b":{"1":{},"4":{},"8":{},"14":{}}}],["1.348",{"_index":667,"t":{},"b":{"2":{}}}],["1.35423",{"_index":2355,"t":{},"b":{"14":{}}}],["1.4",{"_index":460,"t":{},"b":{"1":{},"8":{}}}],["1.40902",{"_index":3180,"t":{},"b":{"22":{}}}],["1.453",{"_index":662,"t":{},"b":{"2":{}}}],["1.4606176614761353",{"_index":1350,"t":{},"b":{"5":{}}}],["1.4607505798339844",{"_index":1351,"t":{},"b":{"5":{}}}],["1.4607977867126465",{"_index":1349,"t":{},"b":{"5":{}}}],["1.4609676599502563",{"_index":1348,"t":{},"b":{"5":{}}}],["1.4611939191818237",{"_index":1347,"t":{},"b":{"5":{}}}],["1.461545467376709",{"_index":1345,"t":{},"b":{"5":{}}}],["1.4615777730941772",{"_index":1346,"t":{},"b":{"5":{}}}],["1.4619566202163696",{"_index":1344,"t":{},"b":{"5":{}}}],["1.462",{"_index":498,"t":{},"b":{"1":{}}}],["1.4620307683944702",{"_index":1343,"t":{},"b":{"5":{}}}],["1.4620510339736938",{"_index":1342,"t":{},"b":{"5":{}}}],["1.462222695350647",{"_index":1341,"t":{},"b":{"5":{}}}],["1.4623528718948364",{"_index":1338,"t":{},"b":{"5":{}}}],["1.4624465703964233",{"_index":1340,"t":{},"b":{"5":{}}}],["1.462546467781067",{"_index":1337,"t":{},"b":{"5":{}}}],["1.4626270532608032",{"_index":1339,"t":{},"b":{"5":{}}}],["1.4626370668411255",{"_index":1336,"t":{},"b":{"5":{}}}],["1.4626812934875488",{"_index":1335,"t":{},"b":{"5":{}}}],["1.463156819343567",{"_index":1334,"t":{},"b":{"5":{}}}],["1.4633418321609497",{"_index":1333,"t":{},"b":{"5":{}}}],["1.4635329246520996",{"_index":1332,"t":{},"b":{"5":{}}}],["1.4638872146606445",{"_index":1330,"t":{},"b":{"5":{}}}],["1.4639283418655396",{"_index":1331,"t":{},"b":{"5":{}}}],["1.4643359184265137",{"_index":1329,"t":{},"b":{"5":{}}}],["1.46450936794281",{"_index":1328,"t":{},"b":{"5":{}}}],["1.4652198553085327",{"_index":1327,"t":{},"b":{"5":{}}}],["1.4653849601745605",{"_index":1326,"t":{},"b":{"5":{}}}],["1.4660505056381226",{"_index":1325,"t":{},"b":{"5":{}}}],["1.4661484956741333",{"_index":1324,"t":{},"b":{"5":{}}}],["1.4661507606506348",{"_index":1323,"t":{},"b":{"5":{}}}],["1.4666513204574585",{"_index":1322,"t":{},"b":{"5":{}}}],["1.4671438932418823",{"_index":1320,"t":{},"b":{"5":{}}}],["1.4673799276351929",{"_index":1321,"t":{},"b":{"5":{}}}],["1.4676014184951782",{"_index":1319,"t":{},"b":{"5":{}}}],["1.4679924249649048",{"_index":1317,"t":{},"b":{"5":{}}}],["1.468157172203064",{"_index":1318,"t":{},"b":{"5":{}}}],["1.4682527780532837",{"_index":1316,"t":{},"b":{"5":{}}}],["1.4691001176834106",{"_index":1315,"t":{},"b":{"5":{}}}],["1.4691554307937622",{"_index":1314,"t":{},"b":{"5":{}}}],["1.4697991609573364",{"_index":1313,"t":{},"b":{"5":{}}}],["1.470677375793457",{"_index":1312,"t":{},"b":{"5":{}}}],["1.47074556350708",{"_index":1311,"t":{},"b":{"5":{}}}],["1.4713517427444458",{"_index":1310,"t":{},"b":{"5":{}}}],["1.4715490341186523",{"_index":1309,"t":{},"b":{"5":{}}}],["1.4726825952529907",{"_index":1308,"t":{},"b":{"5":{}}}],["1.4731879234313965",{"_index":1307,"t":{},"b":{"5":{}}}],["1.4732745885849",{"_index":1306,"t":{},"b":{"5":{}}}],["1.4743404388427734",{"_index":1303,"t":{},"b":{"5":{}}}],["1.4751825332641602",{"_index":1305,"t":{},"b":{"5":{}}}],["1.475905418395996",{"_index":1302,"t":{},"b":{"5":{}}}],["1.4762519598007202",{"_index":1304,"t":{},"b":{"5":{}}}],["1.4783",{"_index":3191,"t":{},"b":{"22":{}}}],["1.48",{"_index":3118,"t":{},"b":{"21":{}}}],["1.5",{"_index":715,"t":{},"b":{"3":{},"5":{},"22":{}}}],["1.57653",{"_index":3035,"t":{},"b":{"20":{}}}],["1.5909",{"_index":1758,"t":{},"b":{"7":{}}}],["1.676",{"_index":661,"t":{},"b":{"2":{}}}],["1.70578",{"_index":3019,"t":{},"b":{"20":{}}}],["1.73",{"_index":350,"t":{},"b":{"1":{}}}],["1.9",{"_index":499,"t":{},"b":{"1":{}}}],["1/nfold",{"_index":2603,"t":{},"b":{"17":{}}}],["10",{"_index":36,"t":{"19":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["10.0",{"_index":3656,"t":{},"b":{"25":{}}}],["10.06",{"_index":3657,"t":{},"b":{"25":{}}}],["10.4",{"_index":1578,"t":{},"b":{"6":{}}}],["100",{"_index":1360,"t":{},"b":{"5":{},"6":{},"16":{}}}],["100.0",{"_index":299,"t":{},"b":{"1":{},"24":{}}}],["1000",{"_index":2156,"t":{},"b":{"11":{},"22":{},"24":{}}}],["1002",{"_index":2541,"t":{},"b":{"17":{}}}],["104",{"_index":2249,"t":{},"b":{"13":{}}}],["104.469",{"_index":3023,"t":{},"b":{"20":{}}}],["104.644",{"_index":3022,"t":{},"b":{"20":{}}}],["105",{"_index":1259,"t":{},"b":{"5":{}}}],["1050",{"_index":1726,"t":{},"b":{"7":{}}}],["1065",{"_index":1725,"t":{},"b":{"7":{}}}],["10x10",{"_index":2072,"t":{},"b":{"10":{}}}],["11",{"_index":338,"t":{},"b":{"1":{},"7":{},"21":{}}}],["11.0",{"_index":3010,"t":{},"b":{"20":{},"25":{}}}],["11.1368",{"_index":304,"t":{},"b":{"1":{},"21":{}}}],["11.22",{"_index":3650,"t":{},"b":{"25":{}}}],["11.36",{"_index":353,"t":{},"b":{"1":{}}}],["11.3636",{"_index":300,"t":{},"b":{"1":{},"21":{}}}],["11.5",{"_index":1586,"t":{},"b":{"6":{},"9":{},"20":{}}}],["110.0",{"_index":3593,"t":{},"b":{"24":{}}}],["1100",{"_index":3551,"t":{},"b":{"24":{}}}],["111.0",{"_index":3651,"t":{},"b":{"25":{}}}],["113.0",{"_index":3658,"t":{},"b":{"25":{}}}],["114",{"_index":1260,"t":{},"b":{"5":{}}}],["11443.0",{"_index":858,"t":{},"b":{"4":{}}}],["1185",{"_index":1727,"t":{},"b":{"7":{}}}],["12",{"_index":344,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"11":{},"17":{},"21":{}}}],["12.0",{"_index":2995,"t":{},"b":{"20":{},"25":{}}}],["12.1265",{"_index":325,"t":{},"b":{"1":{}}}],["12.6",{"_index":339,"t":{},"b":{"1":{}}}],["12.6531",{"_index":352,"t":{},"b":{"1":{},"21":{}}}],["120.0",{"_index":3648,"t":{},"b":{"25":{}}}],["123",{"_index":1261,"t":{},"b":{"5":{}}}],["1250",{"_index":3164,"t":{},"b":{"22":{}}}],["13",{"_index":349,"t":{},"b":{"1":{},"7":{},"21":{}}}],["13.0006",{"_index":1742,"t":{},"b":{"7":{}}}],["13.1",{"_index":1577,"t":{},"b":{"6":{}}}],["13.9",{"_index":1580,"t":{},"b":{"6":{}}}],["130.0",{"_index":2993,"t":{},"b":{"20":{},"24":{}}}],["1300",{"_index":3548,"t":{},"b":{"24":{}}}],["133",{"_index":1262,"t":{},"b":{"5":{},"6":{}}}],["138.0",{"_index":3645,"t":{},"b":{"25":{}}}],["138000.0",{"_index":872,"t":{},"b":{"4":{}}}],["14",{"_index":355,"t":{},"b":{"1":{},"21":{}}}],["14.2825",{"_index":1751,"t":{},"b":{"7":{}}}],["14.4748",{"_index":2855,"t":{},"b":{"19":{}}}],["140.0",{"_index":3587,"t":{},"b":{"24":{}}}],["141",{"_index":3251,"t":{},"b":{"22":{}}}],["142",{"_index":1263,"t":{},"b":{"5":{}}}],["144",{"_index":3250,"t":{},"b":{"22":{}}}],["1456",{"_index":831,"t":{},"b":{"4":{}}}],["1460.0",{"_index":857,"t":{},"b":{"4":{}}}],["1480",{"_index":1728,"t":{},"b":{"7":{}}}],["15",{"_index":429,"t":{},"b":{"1":{},"10":{}}}],["15.0",{"_index":3000,"t":{},"b":{"20":{}}}],["15.3",{"_index":212,"t":{},"b":{"1":{},"21":{}}}],["15.5",{"_index":3030,"t":{},"b":{"20":{}}}],["15.5413",{"_index":3029,"t":{},"b":{"20":{}}}],["150.0",{"_index":3008,"t":{},"b":{"20":{}}}],["1509.0",{"_index":862,"t":{},"b":{"4":{}}}],["151",{"_index":1264,"t":{},"b":{"5":{}}}],["151.0",{"_index":3021,"t":{},"b":{"20":{}}}],["16",{"_index":431,"t":{},"b":{"1":{},"16":{},"20":{}}}],["16.0",{"_index":3590,"t":{},"b":{"24":{},"25":{}}}],["16.1",{"_index":1157,"t":{},"b":{"5":{}}}],["160",{"_index":1265,"t":{},"b":{"5":{}}}],["165",{"_index":1973,"t":{},"b":{"9":{}}}],["165.0",{"_index":3002,"t":{},"b":{"20":{}}}],["168",{"_index":1975,"t":{},"b":{"9":{}}}],["168.537",{"_index":337,"t":{},"b":{"1":{},"21":{}}}],["169",{"_index":1266,"t":{},"b":{"5":{}}}],["16])3",{"_index":2964,"t":{},"b":{"20":{}}}],["17",{"_index":433,"t":{},"b":{"1":{}}}],["17.0",{"_index":3594,"t":{},"b":{"24":{},"25":{}}}],["17.025000",{"_index":2115,"t":{},"b":{"11":{}}}],["17.2",{"_index":1579,"t":{},"b":{"6":{}}}],["17.5",{"_index":1575,"t":{},"b":{"6":{}}}],["17.8",{"_index":224,"t":{},"b":{"1":{},"21":{}}}],["170.76",{"_index":2852,"t":{},"b":{"19":{}}}],["173",{"_index":1974,"t":{},"b":{"9":{}}}],["178",{"_index":1971,"t":{},"b":{"9":{}}}],["179",{"_index":1267,"t":{},"b":{"5":{}}}],["179454.34347399411",{"_index":927,"t":{},"b":{"4":{}}}],["18",{"_index":436,"t":{},"b":{"1":{}}}],["18.0",{"_index":204,"t":{},"b":{"1":{},"20":{},"21":{}}}],["18.1",{"_index":1162,"t":{},"b":{"5":{}}}],["18.4555",{"_index":341,"t":{},"b":{"1":{},"21":{}}}],["18.7",{"_index":240,"t":{},"b":{"1":{}}}],["18.9",{"_index":1572,"t":{},"b":{"6":{}}}],["180000.0",{"_index":874,"t":{},"b":{"4":{}}}],["1868.0",{"_index":856,"t":{},"b":{"4":{}}}],["187",{"_index":333,"t":{},"b":{"1":{}}}],["188",{"_index":415,"t":{},"b":{"1":{},"5":{}}}],["1893.0",{"_index":3625,"t":{},"b":{"24":{}}}],["19",{"_index":132,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"16":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["19.0",{"_index":1158,"t":{},"b":{"5":{},"24":{}}}],["19.05",{"_index":342,"t":{},"b":{"1":{}}}],["19.287175510952146",{"_index":3419,"t":{},"b":{"23":{}}}],["19.381831638657914",{"_index":3421,"t":{},"b":{"23":{}}}],["19.4",{"_index":1574,"t":{},"b":{"6":{}}}],["19.4949",{"_index":1748,"t":{},"b":{"7":{}}}],["194",{"_index":1972,"t":{},"b":{"9":{}}}],["194.412",{"_index":3020,"t":{},"b":{"20":{}}}],["197",{"_index":1268,"t":{},"b":{"5":{}}}],["1982",{"_index":853,"t":{},"b":{"4":{}}}],["1992",{"_index":2517,"t":{},"b":{"17":{}}}],["1:(nfold",{"_index":2604,"t":{},"b":{"17":{}}}],["1:10",{"_index":3442,"t":{},"b":{"23":{}}}],["1:100",{"_index":2202,"t":{},"b":{"12":{}}}],["1:100)base.generator{unitrange{int64},main.fd_sandbox_15866893453267974565.var\"#1#2\"}(main.fd_sandbox_15866893453267974565.var\"#1#2",{"_index":2201,"t":{},"b":{"12":{}}}],["1:1000",{"_index":3338,"t":{},"b":{"22":{}}}],["1:2]5×2",{"_index":261,"t":{},"b":{"1":{}}}],["1:3]3×3",{"_index":397,"t":{},"b":{"1":{}}}],["1:5",{"_index":674,"t":{},"b":{"2":{}}}],["1:findlast(x.year",{"_index":3267,"t":{},"b":{"22":{}}}],["1:i",{"_index":3445,"t":{},"b":{"23":{}}}],["1:nrows(data_test",{"_index":1506,"t":{},"b":{"6":{}}}],["1:nrows(data_train",{"_index":1504,"t":{},"b":{"6":{}}}],["1=adult",{"_index":1531,"t":{},"b":{"6":{}}}],["1=ye",{"_index":1529,"t":{},"b":{"6":{}}}],["1_000",{"_index":2969,"t":{},"b":{"20":{}}}],["1e",{"_index":2891,"t":{},"b":{"19":{}}}],["1exampl",{"_index":548,"t":{},"b":{"2":{}}}],["1st",{"_index":2113,"t":{},"b":{"11":{}}}],["1…02",{"_index":2017,"t":{},"b":{"10":{}}}],["1…03",{"_index":2393,"t":{},"b":{"15":{}}}],["1…05",{"_index":2756,"t":{},"b":{"17":{}}}],["1…06",{"_index":2578,"t":{},"b":{"17":{}}}],["1…07",{"_index":3367,"t":{},"b":{"23":{}}}],["1…12",{"_index":2215,"t":{},"b":{"12":{}}}],["1…13",{"_index":2015,"t":{},"b":{"10":{}}}],["1…17",{"_index":1380,"t":{},"b":{"5":{},"15":{}}}],["1…18",{"_index":2792,"t":{},"b":{"17":{}}}],["1…19",{"_index":2696,"t":{},"b":{"17":{}}}],["1…25",{"_index":1237,"t":{},"b":{"5":{}}}],["1…28",{"_index":987,"t":{},"b":{"4":{},"15":{}}}],["1…34",{"_index":1962,"t":{},"b":{"8":{},"17":{}}}],["1…35",{"_index":970,"t":{},"b":{"4":{}}}],["1…37",{"_index":3084,"t":{},"b":{"21":{}}}],["1…43",{"_index":984,"t":{},"b":{"4":{}}}],["1…48",{"_index":1420,"t":{},"b":{"5":{}}}],["1…54",{"_index":1653,"t":{},"b":{"6":{}}}],["1…58",{"_index":1611,"t":{},"b":{"6":{}}}],["1…60",{"_index":2697,"t":{},"b":{"17":{}}}],["1…64",{"_index":2338,"t":{},"b":{"14":{}}}],["1…65",{"_index":2734,"t":{},"b":{"17":{}}}],["1…71",{"_index":1787,"t":{},"b":{"7":{},"23":{}}}],["1…72",{"_index":1097,"t":{},"b":{"4":{}}}],["1…74",{"_index":3089,"t":{},"b":{"21":{}}}],["1…75",{"_index":2436,"t":{},"b":{"16":{}}}],["1…79",{"_index":2759,"t":{},"b":{"17":{}}}],["1…80",{"_index":2651,"t":{},"b":{"17":{}}}],["1…88",{"_index":2452,"t":{},"b":{"16":{}}}],["1…90",{"_index":2398,"t":{},"b":{"15":{}}}],["1…98",{"_index":2128,"t":{},"b":{"11":{}}}],["2",{"_index":22,"t":{"11":{},"15":{},"20":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["2))2×2",{"_index":2953,"t":{},"b":{"20":{}}}],["2)2×13",{"_index":274,"t":{},"b":{"1":{}}}],["2)2×2",{"_index":281,"t":{},"b":{"1":{},"20":{}}}],["2)2×3",{"_index":269,"t":{},"b":{"1":{}}}],["2)7",{"_index":2617,"t":{},"b":{"17":{}}}],["2)more",{"_index":1138,"t":{},"b":{"5":{}}}],["2*ste",{"_index":2589,"t":{},"b":{"17":{}}}],["2,2.0,2,two,2019",{"_index":593,"t":{},"b":{"2":{}}}],["2.0",{"_index":614,"t":{},"b":{"2":{},"16":{},"20":{}}}],["2.02927",{"_index":1754,"t":{},"b":{"7":{}}}],["2.10571",{"_index":328,"t":{},"b":{"1":{},"21":{}}}],["2.125",{"_index":669,"t":{},"b":{"2":{}}}],["2.16495",{"_index":343,"t":{},"b":{"1":{},"21":{}}}],["2.18",{"_index":234,"t":{},"b":{"1":{}}}],["2.189",{"_index":664,"t":{},"b":{"2":{}}}],["2.220446049250313e",{"_index":2450,"t":{},"b":{"16":{}}}],["2.29511",{"_index":1752,"t":{},"b":{"7":{}}}],["2.3",{"_index":494,"t":{},"b":{"1":{},"3":{}}}],["2.31",{"_index":205,"t":{},"b":{"1":{},"21":{}}}],["2.31829",{"_index":1761,"t":{},"b":{"7":{}}}],["2.33635",{"_index":1744,"t":{},"b":{"7":{}}}],["2.36652",{"_index":1746,"t":{},"b":{"7":{}}}],["2.5",{"_index":1052,"t":{},"b":{"4":{}}}],["2.61169",{"_index":1764,"t":{},"b":{"7":{}}}],["2.69",{"_index":3115,"t":{},"b":{"21":{}}}],["2.75886",{"_index":3031,"t":{},"b":{"20":{}}}],["2.9",{"_index":320,"t":{},"b":{"1":{}}}],["2.94",{"_index":242,"t":{},"b":{"1":{}}}],["20",{"_index":1550,"t":{},"b":{"6":{},"7":{},"10":{},"12":{},"17":{},"18":{},"24":{}}}],["20.8",{"_index":1163,"t":{},"b":{"5":{}}}],["20.82",{"_index":3473,"t":{},"b":{"23":{}}}],["20.83",{"_index":3465,"t":{},"b":{"23":{}}}],["20.89",{"_index":3467,"t":{},"b":{"23":{}}}],["200",{"_index":1147,"t":{},"b":{"5":{}}}],["2003",{"_index":852,"t":{},"b":{"4":{}}}],["2003.02",{"_index":3179,"t":{},"b":{"22":{}}}],["2005",{"_index":861,"t":{},"b":{"4":{},"22":{}}}],["2006",{"_index":860,"t":{},"b":{"4":{}}}],["2019",{"_index":612,"t":{},"b":{"2":{}}}],["2020",{"_index":133,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["2028.0",{"_index":854,"t":{},"b":{"4":{}}}],["206",{"_index":1269,"t":{},"b":{"5":{}}}],["21.0",{"_index":3595,"t":{},"b":{"24":{}}}],["21.11",{"_index":3474,"t":{},"b":{"23":{}}}],["21.2",{"_index":358,"t":{},"b":{"1":{}}}],["21.200000",{"_index":2116,"t":{},"b":{"11":{}}}],["21.232",{"_index":2856,"t":{},"b":{"19":{}}}],["21.24",{"_index":3471,"t":{},"b":{"23":{}}}],["21.27",{"_index":3468,"t":{},"b":{"23":{}}}],["21.6",{"_index":226,"t":{},"b":{"1":{},"21":{}}}],["215",{"_index":1270,"t":{},"b":{"5":{}}}],["22.0",{"_index":340,"t":{},"b":{"1":{}}}],["22.4",{"_index":1167,"t":{},"b":{"5":{}}}],["22.5328",{"_index":357,"t":{},"b":{"1":{},"21":{}}}],["22.532806",{"_index":2111,"t":{},"b":{"11":{}}}],["22.7",{"_index":1576,"t":{},"b":{"6":{}}}],["22.75",{"_index":3016,"t":{},"b":{"20":{}}}],["222",{"_index":239,"t":{},"b":{"1":{}}}],["223.05",{"_index":3469,"t":{},"b":{"23":{}}}],["224",{"_index":1271,"t":{},"b":{"5":{}}}],["225",{"_index":3381,"t":{},"b":{"23":{}}}],["23",{"_index":1965,"t":{},"b":{"9":{}}}],["23.3225",{"_index":301,"t":{},"b":{"1":{},"21":{}}}],["23.4459",{"_index":3015,"t":{},"b":{"20":{}}}],["23.493990895007986",{"_index":3418,"t":{},"b":{"23":{}}}],["230.0",{"_index":3591,"t":{},"b":{"24":{}}}],["234",{"_index":1272,"t":{},"b":{"5":{}}}],["24",{"_index":329,"t":{},"b":{"1":{},"21":{}}}],["24.0",{"_index":215,"t":{},"b":{"1":{},"21":{}}}],["242",{"_index":223,"t":{},"b":{"1":{},"21":{}}}],["243",{"_index":1273,"t":{},"b":{"5":{}}}],["25",{"_index":1967,"t":{},"b":{"9":{}}}],["25.000000",{"_index":2118,"t":{},"b":{"11":{}}}],["25.63",{"_index":3466,"t":{},"b":{"23":{}}}],["250",{"_index":2154,"t":{},"b":{"11":{}}}],["2500",{"_index":3530,"t":{},"b":{"24":{}}}],["252",{"_index":1274,"t":{},"b":{"5":{}}}],["256",{"_index":1205,"t":{},"b":{"5":{}}}],["25th",{"_index":371,"t":{},"b":{"1":{}}}],["260.0",{"_index":3653,"t":{},"b":{"25":{}}}],["261",{"_index":1275,"t":{},"b":{"5":{}}}],["269.0",{"_index":3660,"t":{},"b":{"25":{}}}],["27.33",{"_index":3472,"t":{},"b":{"23":{}}}],["27.74",{"_index":303,"t":{},"b":{"1":{}}}],["27.825594022071243",{"_index":1652,"t":{},"b":{"6":{}}}],["270",{"_index":1276,"t":{},"b":{"5":{}}}],["276.0",{"_index":3647,"t":{},"b":{"25":{}}}],["28",{"_index":1494,"t":{},"b":{"6":{},"7":{}}}],["28.1489",{"_index":323,"t":{},"b":{"1":{},"21":{}}}],["280",{"_index":1277,"t":{},"b":{"5":{}}}],["2803.5",{"_index":3027,"t":{},"b":{"20":{}}}],["289",{"_index":1278,"t":{},"b":{"5":{}}}],["295",{"_index":418,"t":{},"b":{"1":{}}}],["296",{"_index":211,"t":{},"b":{"1":{},"21":{}}}],["2977.58",{"_index":3026,"t":{},"b":{"20":{}}}],["298",{"_index":1279,"t":{},"b":{"5":{}}}],["2=no",{"_index":1530,"t":{},"b":{"6":{}}}],["2=young",{"_index":1532,"t":{},"b":{"6":{}}}],["2]]x[1",{"_index":2979,"t":{},"b":{"20":{}}}],["2d",{"_index":1823,"t":{},"b":{"7":{},"11":{},"26":{}}}],["2in",{"_index":549,"t":{},"b":{"2":{}}}],["2x.x1",{"_index":2475,"t":{},"b":{"16":{}}}],["2x3",{"_index":2309,"t":{},"b":{"14":{},"15":{}}}],["2xraw[:,3",{"_index":2010,"t":{},"b":{"10":{}}}],["2…23",{"_index":962,"t":{},"b":{"4":{}}}],["2…24",{"_index":2285,"t":{},"b":{"13":{}}}],["2…50",{"_index":2243,"t":{},"b":{"13":{}}}],["2…57",{"_index":2762,"t":{},"b":{"17":{}}}],["2…80",{"_index":1080,"t":{},"b":{"4":{}}}],["2…81",{"_index":2454,"t":{},"b":{"16":{}}}],["2…93",{"_index":2660,"t":{},"b":{"17":{}}}],["2…95",{"_index":2569,"t":{},"b":{"17":{}}}],["3",{"_index":23,"t":{"21":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["3)([1",{"_index":2606,"t":{},"b":{"17":{}}}],["3))nodalmachin",{"_index":2659,"t":{},"b":{"17":{}}}],["3)3×14",{"_index":3077,"t":{},"b":{"21":{}}}],["3)3×4",{"_index":386,"t":{},"b":{"1":{}}}],["3)3×5",{"_index":452,"t":{},"b":{"1":{},"2":{}}}],["3)3×7",{"_index":658,"t":{},"b":{"2":{}}}],["3)3×9",{"_index":2985,"t":{},"b":{"20":{}}}],["3)thi",{"_index":1139,"t":{},"b":{"5":{}}}],["3,3.0,3.14,three,2019",{"_index":596,"t":{},"b":{"2":{}}}],["3.0",{"_index":464,"t":{},"b":{"1":{},"2":{},"8":{},"16":{},"20":{}}}],["3.115",{"_index":668,"t":{},"b":{"2":{}}}],["3.14",{"_index":617,"t":{},"b":{"2":{}}}],["3.2",{"_index":466,"t":{},"b":{"1":{},"8":{}}}],["3.20745",{"_index":327,"t":{},"b":{"1":{}}}],["3.26",{"_index":659,"t":{},"b":{"2":{}}}],["3.33956",{"_index":1749,"t":{},"b":{"7":{}}}],["3.428",{"_index":495,"t":{},"b":{"1":{}}}],["3.5",{"_index":459,"t":{},"b":{"1":{},"8":{}}}],["3.531",{"_index":672,"t":{},"b":{"2":{}}}],["3.561",{"_index":314,"t":{},"b":{"1":{}}}],["3.61352",{"_index":296,"t":{},"b":{"1":{},"21":{}}}],["3.68374",{"_index":3034,"t":{},"b":{"20":{}}}],["3.77",{"_index":663,"t":{},"b":{"2":{}}}],["3.79504",{"_index":326,"t":{},"b":{"1":{},"21":{}}}],["3.81",{"_index":3116,"t":{},"b":{"21":{}}}],["3/2",{"_index":2628,"t":{},"b":{"17":{}}}],["30",{"_index":1520,"t":{},"b":{"6":{},"7":{},"8":{}}}],["300",{"_index":1493,"t":{},"b":{"6":{},"11":{}}}],["301",{"_index":420,"t":{},"b":{"1":{}}}],["307",{"_index":1280,"t":{},"b":{"5":{}}}],["307.0",{"_index":2992,"t":{},"b":{"20":{}}}],["309",{"_index":1558,"t":{},"b":{"6":{}}}],["314.907",{"_index":1767,"t":{},"b":{"7":{}}}],["316",{"_index":1281,"t":{},"b":{"5":{}}}],["318.0",{"_index":3007,"t":{},"b":{"20":{}}}],["320",{"_index":3006,"t":{},"b":{"20":{}}}],["322",{"_index":3494,"t":{},"b":{"24":{}}}],["326",{"_index":1282,"t":{},"b":{"5":{}}}],["33",{"_index":2141,"t":{},"b":{"11":{}}}],["33.4",{"_index":243,"t":{},"b":{"1":{}}}],["330.0",{"_index":336,"t":{},"b":{"1":{}}}],["335",{"_index":1283,"t":{},"b":{"5":{}}}],["34",{"_index":1966,"t":{},"b":{"9":{}}}],["34.6",{"_index":3096,"t":{},"b":{"21":{}}}],["34.7",{"_index":232,"t":{},"b":{"1":{},"6":{},"21":{}}}],["3436.0",{"_index":3009,"t":{},"b":{"20":{}}}],["344",{"_index":1284,"t":{},"b":{"5":{}}}],["348",{"_index":3324,"t":{},"b":{"22":{}}}],["35.0",{"_index":3659,"t":{},"b":{"25":{}}}],["35.5",{"_index":1581,"t":{},"b":{"6":{}}}],["350.0",{"_index":3001,"t":{},"b":{"20":{}}}],["3504.0",{"_index":2994,"t":{},"b":{"20":{}}}],["353",{"_index":1285,"t":{},"b":{"5":{}}}],["356.674",{"_index":346,"t":{},"b":{"1":{},"21":{}}}],["36",{"_index":435,"t":{},"b":{"1":{}}}],["36.1",{"_index":1582,"t":{},"b":{"6":{}}}],["36.5",{"_index":3110,"t":{},"b":{"21":{}}}],["362",{"_index":1286,"t":{},"b":{"5":{}}}],["3693.0",{"_index":3003,"t":{},"b":{"20":{}}}],["369900.0",{"_index":873,"t":{},"b":{"4":{}}}],["37.97",{"_index":351,"t":{},"b":{"1":{}}}],["371",{"_index":1287,"t":{},"b":{"5":{}}}],["38.0",{"_index":3586,"t":{},"b":{"24":{}}}],["38.4912",{"_index":3025,"t":{},"b":{"20":{}}}],["381",{"_index":1288,"t":{},"b":{"5":{}}}],["39.1",{"_index":1584,"t":{},"b":{"6":{}}}],["390",{"_index":1289,"t":{},"b":{"5":{}}}],["391.44",{"_index":347,"t":{},"b":{"1":{}}}],["392",{"_index":3045,"t":{},"b":{"20":{}}}],["392.83",{"_index":230,"t":{},"b":{"1":{},"21":{}}}],["393.0",{"_index":868,"t":{},"b":{"4":{}}}],["394.63",{"_index":241,"t":{},"b":{"1":{}}}],["396.9",{"_index":213,"t":{},"b":{"1":{},"21":{}}}],["399",{"_index":1290,"t":{},"b":{"5":{}}}],["3rd",{"_index":2117,"t":{},"b":{"11":{}}}],["3…71",{"_index":3411,"t":{},"b":{"23":{}}}],["3…96",{"_index":3690,"t":{},"b":{"25":{}}}],["4",{"_index":31,"t":{"22":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["4)4×14",{"_index":199,"t":{},"b":{"1":{}}}],["4.0",{"_index":2965,"t":{},"b":{"20":{}}}],["4.019392784926215",{"_index":2179,"t":{},"b":{"11":{}}}],["4.03",{"_index":231,"t":{},"b":{"1":{},"21":{}}}],["4.09",{"_index":210,"t":{},"b":{"1":{},"21":{}}}],["4.1",{"_index":3588,"t":{},"b":{"24":{}}}],["4.26",{"_index":512,"t":{},"b":{"1":{}}}],["4.3",{"_index":491,"t":{},"b":{"1":{}}}],["4.35551",{"_index":2851,"t":{},"b":{"19":{}}}],["4.4",{"_index":496,"t":{},"b":{"1":{}}}],["4.5",{"_index":2643,"t":{},"b":{"17":{}}}],["4.7",{"_index":465,"t":{},"b":{"1":{},"8":{}}}],["4.9",{"_index":463,"t":{},"b":{"1":{},"8":{}}}],["4.9671",{"_index":222,"t":{},"b":{"1":{},"21":{}}}],["4.9779",{"_index":2594,"t":{},"b":{"17":{}}}],["4.98",{"_index":214,"t":{},"b":{"1":{},"21":{}}}],["4.9802",{"_index":2598,"t":{},"b":{"17":{}}}],["40",{"_index":2250,"t":{},"b":{"13":{}}}],["408",{"_index":1291,"t":{},"b":{"5":{}}}],["408.237",{"_index":335,"t":{},"b":{"1":{},"21":{}}}],["417",{"_index":1292,"t":{},"b":{"5":{}}}],["42.0",{"_index":3649,"t":{},"b":{"25":{}}}],["427",{"_index":1293,"t":{},"b":{"5":{}}}],["436",{"_index":1294,"t":{},"b":{"5":{}}}],["445",{"_index":1295,"t":{},"b":{"5":{}}}],["45",{"_index":1722,"t":{},"b":{"7":{},"9":{}}}],["45.8",{"_index":237,"t":{},"b":{"1":{}}}],["454",{"_index":1296,"t":{},"b":{"5":{}}}],["458",{"_index":3252,"t":{},"b":{"22":{}}}],["46",{"_index":428,"t":{},"b":{"1":{}}}],["463",{"_index":1297,"t":{},"b":{"5":{}}}],["47.0",{"_index":3596,"t":{},"b":{"24":{}}}],["472",{"_index":1298,"t":{},"b":{"5":{}}}],["48.0",{"_index":3652,"t":{},"b":{"25":{}}}],["482",{"_index":1299,"t":{},"b":{"5":{}}}],["491",{"_index":1300,"t":{},"b":{"5":{}}}],["4]2×2",{"_index":2948,"t":{},"b":{"20":{}}}],["4…06",{"_index":2441,"t":{},"b":{"16":{}}}],["4…11",{"_index":2707,"t":{},"b":{"17":{}}}],["4…17",{"_index":1096,"t":{},"b":{"4":{}}}],["4…32",{"_index":3454,"t":{},"b":{"23":{}}}],["4…47",{"_index":2377,"t":{},"b":{"14":{}}}],["4…51",{"_index":1078,"t":{},"b":{"4":{}}}],["4…54",{"_index":3455,"t":{},"b":{"23":{}}}],["4…66",{"_index":1079,"t":{},"b":{"4":{}}}],["4…70",{"_index":2480,"t":{},"b":{"16":{}}}],["5",{"_index":32,"t":{"23":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["5.0",{"_index":331,"t":{},"b":{"1":{},"14":{}}}],["5.000000",{"_index":2112,"t":{},"b":{"11":{}}}],["5.006",{"_index":492,"t":{},"b":{"1":{}}}],["5.05809",{"_index":1760,"t":{},"b":{"7":{}}}],["5.1",{"_index":458,"t":{},"b":{"1":{},"8":{}}}],["5.47194",{"_index":3018,"t":{},"b":{"20":{}}}],["5.552",{"_index":513,"t":{},"b":{"1":{}}}],["5.8",{"_index":493,"t":{},"b":{"1":{}}}],["50",{"_index":1253,"t":{},"b":{"5":{},"24":{}}}],["50.0",{"_index":356,"t":{},"b":{"1":{}}}],["50.000000",{"_index":2119,"t":{},"b":{"11":{}}}],["500",{"_index":1301,"t":{},"b":{"5":{},"11":{}}}],["506",{"_index":745,"t":{},"b":{"3":{},"11":{}}}],["507",{"_index":3253,"t":{},"b":{"22":{}}}],["52.7",{"_index":1587,"t":{},"b":{"6":{}}}],["5474",{"_index":3323,"t":{},"b":{"22":{}}}],["55",{"_index":2251,"t":{},"b":{"13":{}}}],["59",{"_index":1254,"t":{},"b":{"5":{}}}],["59.0",{"_index":3663,"t":{},"b":{"25":{}}}],["5]0.469",{"_index":255,"t":{},"b":{"1":{}}}],["5th",{"_index":3477,"t":{},"b":{"23":{}}}],["5…17",{"_index":888,"t":{},"b":{"4":{}}}],["5…23",{"_index":1223,"t":{},"b":{"5":{}}}],["5…31",{"_index":2593,"t":{},"b":{"17":{}}}],["6",{"_index":313,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"17":{},"19":{},"20":{},"21":{},"22":{}}}],["6.0622",{"_index":238,"t":{},"b":{"1":{}}}],["6.2085",{"_index":317,"t":{},"b":{"1":{}}}],["6.28463",{"_index":316,"t":{},"b":{"1":{},"21":{}}}],["6.3794",{"_index":2596,"t":{},"b":{"17":{}}}],["6.421",{"_index":220,"t":{},"b":{"1":{},"21":{}}}],["6.575",{"_index":208,"t":{},"b":{"1":{},"21":{}}}],["6.7",{"_index":1156,"t":{},"b":{"5":{}}}],["6.86035",{"_index":306,"t":{},"b":{"1":{},"21":{}}}],["6.998",{"_index":236,"t":{},"b":{"1":{}}}],["61.1",{"_index":229,"t":{},"b":{"1":{},"21":{}}}],["63.9",{"_index":1588,"t":{},"b":{"6":{}}}],["65.0",{"_index":3655,"t":{},"b":{"25":{}}}],["65.2",{"_index":209,"t":{},"b":{"1":{},"21":{}}}],["65.54",{"_index":2854,"t":{},"b":{"19":{}}}],["6600.0",{"_index":850,"t":{},"b":{"4":{}}}],["67",{"_index":1229,"t":{},"b":{"5":{},"9":{}}}],["68",{"_index":1255,"t":{},"b":{"5":{},"6":{}}}],["68.5749",{"_index":321,"t":{},"b":{"1":{},"21":{}}}],["6b",{"_index":33,"t":{"24":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["6…17",{"_index":3075,"t":{},"b":{"21":{}}}],["6…23",{"_index":1801,"t":{},"b":{"7":{}}}],["6…44",{"_index":2702,"t":{},"b":{"17":{}}}],["6…53",{"_index":2663,"t":{},"b":{"17":{}}}],["6…62",{"_index":3295,"t":{},"b":{"22":{}}}],["6…91",{"_index":2765,"t":{},"b":{"17":{}}}],["7",{"_index":319,"t":{},"b":{"1":{},"4":{},"7":{},"11":{},"17":{},"20":{},"21":{},"22":{}}}],["7.0",{"_index":1159,"t":{},"b":{"5":{}}}],["7.06220240533269",{"_index":2136,"t":{},"b":{"11":{}}}],["7.07",{"_index":218,"t":{},"b":{"1":{},"21":{}}}],["7.1",{"_index":1573,"t":{},"b":{"6":{}}}],["7.14106",{"_index":354,"t":{},"b":{"1":{},"21":{}}}],["7.185",{"_index":228,"t":{},"b":{"1":{},"21":{}}}],["7.4",{"_index":1164,"t":{},"b":{"5":{}}}],["7.7",{"_index":1161,"t":{},"b":{"5":{}}}],["7.788",{"_index":2850,"t":{},"b":{"19":{}}}],["7.8",{"_index":1166,"t":{},"b":{"5":{}}}],["7.80501",{"_index":3017,"t":{},"b":{"20":{}}}],["70.0",{"_index":2996,"t":{},"b":{"20":{},"24":{}}}],["70:30",{"_index":903,"t":{},"b":{"4":{}}}],["71.0",{"_index":3597,"t":{},"b":{"24":{}}}],["711",{"_index":334,"t":{},"b":{"1":{}}}],["73",{"_index":1228,"t":{},"b":{"5":{}}}],["73.0",{"_index":3646,"t":{},"b":{"25":{}}}],["735",{"_index":1729,"t":{},"b":{"7":{}}}],["74.0",{"_index":3589,"t":{},"b":{"24":{}}}],["746.893",{"_index":1766,"t":{},"b":{"7":{}}}],["75.9796",{"_index":3032,"t":{},"b":{"20":{}}}],["750",{"_index":2155,"t":{},"b":{"11":{}}}],["75702.41122812725",{"_index":910,"t":{},"b":{"4":{}}}],["75th",{"_index":372,"t":{},"b":{"1":{}}}],["76.0",{"_index":3033,"t":{},"b":{"20":{}}}],["77.5",{"_index":322,"t":{},"b":{"1":{}}}],["78",{"_index":1256,"t":{},"b":{"5":{}}}],["78.9",{"_index":221,"t":{},"b":{"1":{},"21":{}}}],["783.0",{"_index":865,"t":{},"b":{"4":{}}}],["7875.0",{"_index":866,"t":{},"b":{"4":{}}}],["7…06",{"_index":2237,"t":{},"b":{"13":{}}}],["7…40",{"_index":2365,"t":{},"b":{"14":{}}}],["7…74",{"_index":1954,"t":{},"b":{"8":{}}}],["7…82",{"_index":2567,"t":{},"b":{"17":{}}}],["7…83",{"_index":2344,"t":{},"b":{"14":{}}}],["8",{"_index":34,"t":{"25":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["8.0",{"_index":2991,"t":{},"b":{"20":{}}}],["8.1",{"_index":1155,"t":{},"b":{"5":{}}}],["8.60155",{"_index":298,"t":{},"b":{"1":{},"21":{}}}],["8.70726",{"_index":332,"t":{},"b":{"1":{},"21":{}}}],["8.78",{"_index":315,"t":{},"b":{"1":{}}}],["8.8",{"_index":1160,"t":{},"b":{"5":{}}}],["80(predict(1…58",{"_index":2568,"t":{},"b":{"17":{}}}],["80(predict(5…88",{"_index":2570,"t":{},"b":{"17":{}}}],["80.0",{"_index":3661,"t":{},"b":{"25":{}}}],["80/20",{"_index":2167,"t":{},"b":{"11":{}}}],["807.0",{"_index":864,"t":{},"b":{"4":{}}}],["81.1",{"_index":1583,"t":{},"b":{"6":{}}}],["816.0",{"_index":848,"t":{},"b":{"4":{}}}],["83.0",{"_index":3654,"t":{},"b":{"25":{}}}],["83.3377",{"_index":2853,"t":{},"b":{"19":{}}}],["84.0",{"_index":3592,"t":{},"b":{"24":{}}}],["849.403",{"_index":3028,"t":{},"b":{"20":{}}}],["86",{"_index":3309,"t":{},"b":{"22":{}}}],["87",{"_index":1257,"t":{},"b":{"5":{}}}],["88.9762",{"_index":295,"t":{},"b":{"1":{}}}],["880.0",{"_index":859,"t":{},"b":{"4":{}}}],["8…18",{"_index":897,"t":{},"b":{"4":{}}}],["8…47",{"_index":2662,"t":{},"b":{"17":{}}}],["8…48",{"_index":2401,"t":{},"b":{"15":{}}}],["8…56",{"_index":1120,"t":{},"b":{"4":{}}}],["8…74",{"_index":2700,"t":{},"b":{"17":{}}}],["8…86",{"_index":2379,"t":{},"b":{"14":{}}}],["9",{"_index":35,"t":{"26":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["9.14",{"_index":225,"t":{},"b":{"1":{},"21":{}}}],["9.1971",{"_index":359,"t":{},"b":{"1":{},"21":{}}}],["9.2",{"_index":1165,"t":{},"b":{"5":{}}}],["9.36638",{"_index":2857,"t":{},"b":{"19":{}}}],["9.5",{"_index":3644,"t":{},"b":{"25":{}}}],["9.54941",{"_index":330,"t":{},"b":{"1":{},"21":{}}}],["9.69",{"_index":305,"t":{},"b":{"1":{}}}],["9.84",{"_index":1585,"t":{},"b":{"6":{}}}],["90",{"_index":1802,"t":{},"b":{"7":{}}}],["91.2949",{"_index":348,"t":{},"b":{"1":{},"21":{}}}],["93.5",{"_index":3024,"t":{},"b":{"20":{}}}],["96",{"_index":1258,"t":{},"b":{"5":{}}}],["98.83",{"_index":3470,"t":{},"b":{"23":{}}}],["99.7416",{"_index":1750,"t":{},"b":{"7":{}}}],["9…30",{"_index":3234,"t":{},"b":{"22":{}}}],["9…65",{"_index":2342,"t":{},"b":{"14":{}}}],["_.name",{"_index":741,"t":{},"b":{"3":{}}}],["_.nrow",{"_index":744,"t":{},"b":{"3":{}}}],["_.scityp",{"_index":743,"t":{},"b":{"3":{}}}],["_.type",{"_index":742,"t":{},"b":{"3":{}}}],["_20",{"_index":851,"t":{},"b":{"4":{}}}],["_60",{"_index":867,"t":{},"b":{"4":{}}}],["aa",{"_index":68,"t":{},"b":{"0":{},"3":{}}}],["aad",{"_index":417,"t":{},"b":{"1":{}}}],["aao",{"_index":416,"t":{},"b":{"1":{}}}],["abdomcentesis_appear",{"_index":1478,"t":{},"b":{"6":{}}}],["abdomcentesis_total_protein",{"_index":1479,"t":{},"b":{"6":{}}}],["abdomen",{"_index":1475,"t":{},"b":{"6":{}}}],["abdominal_distens",{"_index":1470,"t":{},"b":{"6":{}}}],["abov",{"_index":1617,"t":{},"b":{"6":{},"10":{},"14":{},"16":{},"17":{},"20":{},"24":{}}}],["abstract",{"_index":2374,"t":{},"b":{"14":{}}}],["abstractarray{continuous,1",{"_index":875,"t":{},"b":{"4":{}}}],["abstractarray{count,1",{"_index":1718,"t":{},"b":{"7":{},"25":{}}}],["abstractarray{multiclass{2},1",{"_index":3537,"t":{},"b":{"24":{}}}],["abus",{"_index":2768,"t":{},"b":{"17":{}}}],["acceler",{"_index":1116,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"20":{},"23":{}}}],["acceleration_resampl",{"_index":1118,"t":{},"b":{"4":{},"16":{},"23":{}}}],["access",{"_index":170,"t":{},"b":{"1":{},"2":{},"4":{},"9":{},"10":{},"14":{}}}],["accesss",{"_index":3038,"t":{},"b":{"20":{}}}],["account",{"_index":3347,"t":{},"b":{"22":{}}}],["accuraci",{"_index":3254,"t":{},"b":{"22":{},"24":{}}}],["accuracy(cm",{"_index":3257,"t":{},"b":{"22":{}}}],["accuracy(i",{"_index":3256,"t":{},"b":{"22":{}}}],["achiev",{"_index":1863,"t":{},"b":{"7":{},"17":{}}}],["acid",{"_index":1694,"t":{},"b":{"7":{}}}],["actual",{"_index":1408,"t":{},"b":{"5":{},"6":{},"14":{}}}],["acycl",{"_index":2325,"t":{},"b":{"14":{}}}],["ad",{"_index":399,"t":{},"b":{"1":{},"8":{},"18":{}}}],["adabooststumpclassifi",{"_index":1911,"t":{},"b":{"8":{}}}],["adapt",{"_index":147,"t":{},"b":{"1":{},"18":{}}}],["add",{"_index":2411,"t":{},"b":{"15":{},"20":{},"21":{},"25":{}}}],["addit",{"_index":3135,"t":{},"b":{"21":{}}}],["addition",{"_index":2816,"t":{},"b":{"18":{}}}],["adjud",{"_index":2525,"t":{},"b":{"17":{}}}],["adjudicator'",{"_index":2690,"t":{},"b":{"17":{}}}],["adjust",{"_index":3575,"t":{},"b":{"24":{},"25":{}}}],["advertis",{"_index":3638,"t":{},"b":{"25":{}}}],["ag",{"_index":186,"t":{},"b":{"1":{},"3":{},"6":{},"9":{},"21":{},"25":{}}}],["again",{"_index":1142,"t":{},"b":{"5":{},"11":{},"21":{},"25":{}}}],["age=>continu",{"_index":1984,"t":{},"b":{"9":{}}}],["aggreg",{"_index":525,"t":{},"b":{"1":{}}}],["ai2cod",{"_index":422,"t":{},"b":{"1":{}}}],["aim",{"_index":2833,"t":{},"b":{"18":{}}}],["aka",{"_index":3230,"t":{},"b":{"22":{}}}],["alcalin",{"_index":1696,"t":{},"b":{"7":{}}}],["alcool",{"_index":1692,"t":{},"b":{"7":{}}}],["algorithm",{"_index":954,"t":{},"b":{"4":{},"8":{},"10":{},"12":{},"13":{},"17":{}}}],["all_model",{"_index":2755,"t":{},"b":{"17":{}}}],["all_nam",{"_index":3603,"t":{},"b":{"24":{}}}],["all_names[idxshow",{"_index":3613,"t":{},"b":{"24":{}}}],["allow",{"_index":469,"t":{},"b":{"1":{},"2":{},"3":{},"15":{},"20":{},"22":{}}}],["allowrankdefici",{"_index":1961,"t":{},"b":{"8":{}}}],["alon",{"_index":2429,"t":{},"b":{"15":{},"17":{}}}],["along",{"_index":1885,"t":{},"b":{"8":{}}}],["alpha",{"_index":1192,"t":{},"b":{"5":{}}}],["alreadi",{"_index":1819,"t":{},"b":{"7":{},"17":{},"22":{}}}],["altern",{"_index":2417,"t":{},"b":{"15":{}}}],["although",{"_index":2713,"t":{},"b":{"17":{}}}],["alway",{"_index":1382,"t":{},"b":{"5":{},"10":{},"18":{},"21":{}}}],["am",{"_index":39,"t":{"4":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["ambigu",{"_index":704,"t":{},"b":{"3":{}}}],["amount",{"_index":2730,"t":{},"b":{"17":{}}}],["amplitud",{"_index":1739,"t":{},"b":{"7":{}}}],["analys",{"_index":474,"t":{},"b":{"1":{},"3":{},"18":{}}}],["analysi",{"_index":391,"t":{},"b":{"1":{},"6":{},"7":{},"18":{},"20":{}}}],["annot",{"_index":48,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["anoth",{"_index":110,"t":{},"b":{"0":{},"6":{},"8":{},"14":{},"20":{}}}],["anthoni",{"_index":124,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["anyon",{"_index":2466,"t":{},"b":{"16":{}}}],["apart",{"_index":3329,"t":{},"b":{"22":{}}}],["appli",{"_index":145,"t":{},"b":{"1":{},"4":{},"6":{},"9":{},"13":{},"14":{},"17":{},"21":{}}}],["applic",{"_index":2216,"t":{},"b":{"12":{},"17":{}}}],["appreci",{"_index":2810,"t":{},"b":{"18":{}}}],["approach",{"_index":2389,"t":{},"b":{"15":{}}}],["appropri",{"_index":753,"t":{},"b":{"3":{},"8":{},"13":{},"21":{},"24":{}}}],["arbitrari",{"_index":581,"t":{},"b":{"2":{}}}],["arbitrarili",{"_index":1363,"t":{},"b":{"5":{}}}],["area",{"_index":3348,"t":{},"b":{"22":{}}}],["argmin(res.measur",{"_index":3475,"t":{},"b":{"23":{}}}],["argmin(res.measurements)round.(res.measur",{"_index":3464,"t":{},"b":{"23":{}}}],["argument",{"_index":627,"t":{},"b":{"2":{},"8":{}}}],["around",{"_index":173,"t":{},"b":{"1":{},"4":{},"5":{},"11":{},"14":{},"24":{}}}],["array",{"_index":10,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["array{float64,1",{"_index":250,"t":{},"b":{"1":{},"4":{},"19":{},"20":{},"24":{},"26":{}}}],["array{float64,2",{"_index":398,"t":{},"b":{"1":{},"22":{}}}],["array{int64,1",{"_index":101,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"13":{},"20":{}}}],["array{int64,2",{"_index":2949,"t":{},"b":{"20":{}}}],["array{mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1075,"t":{},"b":{"4":{}}}],["array{string,1",{"_index":84,"t":{},"b":{"0":{},"1":{},"17":{},"22":{}}}],["array{symbol,1",{"_index":179,"t":{},"b":{"1":{},"19":{},"20":{}}}],["array{univariatefinite{string,uint8,float64},1",{"_index":3237,"t":{},"b":{"22":{}}}],["arrow",{"_index":809,"t":{},"b":{"4":{},"7":{},"14":{}}}],["ash",{"_index":1695,"t":{},"b":{"7":{}}}],["asid",{"_index":1788,"t":{},"b":{"7":{},"22":{}}}],["assault",{"_index":2845,"t":{},"b":{"19":{}}}],["assess",{"_index":930,"t":{},"b":{"4":{}}}],["assign",{"_index":2922,"t":{},"b":{"19":{}}}],["assist",{"_index":3509,"t":{},"b":{"24":{}}}],["associ",{"_index":2817,"t":{},"b":{"18":{}}}],["assort",{"_index":2787,"t":{},"b":{"17":{}}}],["assum",{"_index":1511,"t":{},"b":{"6":{},"14":{},"18":{}}}],["assumpt",{"_index":3286,"t":{},"b":{"22":{}}}],["atbat",{"_index":3495,"t":{},"b":{"24":{}}}],["atom",{"_index":2027,"t":{},"b":{"10":{},"12":{},"16":{}}}],["atom.k",{"_index":2064,"t":{},"b":{"10":{}}}],["atom.min_samples_split",{"_index":2225,"t":{},"b":{"12":{}}}],["atom.n_subfeatur",{"_index":2163,"t":{},"b":{"11":{},"12":{},"16":{}}}],["atomic_weight",{"_index":2058,"t":{},"b":{"10":{},"11":{},"16":{}}}],["attent",{"_index":747,"t":{},"b":{"3":{}}}],["attribut",{"_index":1712,"t":{},"b":{"7":{},"15":{}}}],["auc",{"_index":3346,"t":{},"b":{"22":{}}}],["auc(i",{"_index":3350,"t":{},"b":{"22":{}}}],["aucstock",{"_index":3159,"t":{},"b":{"22":{}}}],["auto",{"_index":1194,"t":{},"b":{"5":{},"8":{},"20":{},"23":{}}}],["auto.mpg",{"_index":3039,"t":{},"b":{"20":{}}}],["automat",{"_index":783,"t":{},"b":{"3":{},"5":{}}}],["autotyp",{"_index":780,"t":{},"b":{"3":{},"6":{},"18":{}}}],["autotype(boston",{"_index":794,"t":{},"b":{"3":{},"21":{}}}],["autotype(data",{"_index":1514,"t":{},"b":{"6":{}}}],["autotype(datac",{"_index":1543,"t":{},"b":{"6":{}}}],["autotype(x",{"_index":3535,"t":{},"b":{"24":{},"25":{}}}],["avail",{"_index":1899,"t":{},"b":{"8":{},"20":{},"22":{}}}],["averag",{"_index":945,"t":{},"b":{"4":{},"13":{},"17":{},"22":{}}}],["average_two",{"_index":2571,"t":{},"b":{"17":{}}}],["avg",{"_index":2572,"t":{},"b":{"17":{}}}],["away",{"_index":2375,"t":{},"b":{"14":{}}}],["b",{"_index":1149,"t":{},"b":{"5":{}}}],["b1",{"_index":266,"t":{},"b":{"1":{}}}],["b2",{"_index":271,"t":{},"b":{"1":{}}}],["b_rang",{"_index":2061,"t":{},"b":{"10":{}}}],["babi",{"_index":802,"t":{},"b":{"4":{}}}],["back",{"_index":2334,"t":{},"b":{"14":{},"21":{}}}],["backend",{"_index":3050,"t":{},"b":{"20":{}}}],["background",{"_index":2380,"t":{},"b":{"14":{}}}],["backslash",{"_index":3071,"t":{},"b":{"21":{}}}],["bad",{"_index":1639,"t":{},"b":{"6":{},"22":{},"24":{},"25":{},"26":{}}}],["badli",{"_index":1173,"t":{},"b":{"5":{}}}],["bag",{"_index":2026,"t":{},"b":{"10":{},"11":{},"12":{}}}],["bagging_fract",{"_index":2054,"t":{},"b":{"10":{},"11":{},"16":{}}}],["baggingclassifi",{"_index":1913,"t":{},"b":{"8":{}}}],["balanc",{"_index":1224,"t":{},"b":{"5":{},"7":{},"22":{}}}],["bar(1:length(c",{"_index":2910,"t":{},"b":{"19":{}}}],["bar([1",{"_index":3226,"t":{},"b":{"22":{}}}],["bare",{"_index":3285,"t":{},"b":{"22":{}}}],["barebon",{"_index":718,"t":{},"b":{"3":{}}}],["base",{"_index":1666,"t":{"25":{}},"b":{"6":{},"17":{},"18":{},"25":{}}}],["base_scor",{"_index":1218,"t":{},"b":{"5":{}}}],["baselin",{"_index":1444,"t":{},"b":{"6":{},"7":{},"23":{},"24":{}}}],["baselinevisualis",{"_index":1676,"t":{},"b":{"7":{}}}],["basic",{"_index":6,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["basicsaccess",{"_index":139,"t":{},"b":{"1":{}}}],["bayesian",{"_index":3290,"t":{},"b":{"22":{}}}],["bayesianlda",{"_index":1914,"t":{},"b":{"8":{},"22":{}}}],["bayesianqda",{"_index":1916,"t":{},"b":{"8":{},"22":{}}}],["bayesiansubspacelda",{"_index":1917,"t":{},"b":{"8":{}}}],["bb",{"_index":66,"t":{},"b":{"0":{},"3":{}}}],["bd",{"_index":1154,"t":{},"b":{"5":{}}}],["becom",{"_index":1046,"t":{},"b":{"4":{},"7":{}}}],["befor",{"_index":636,"t":{},"b":{"2":{},"4":{},"10":{},"14":{},"16":{},"18":{},"20":{},"22":{},"25":{}}}],["behaviour",{"_index":3674,"t":{},"b":{"25":{}}}],["belong",{"_index":568,"t":{},"b":{"2":{}}}],["below",{"_index":712,"t":{},"b":{"3":{},"7":{},"8":{}}}],["best",{"_index":1124,"t":{},"b":{"4":{},"5":{},"10":{},"11":{},"16":{},"17":{},"19":{},"24":{},"25":{}}}],["best_ensembl",{"_index":2079,"t":{},"b":{"10":{}}}],["best_ensemble.atom.k",{"_index":2081,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fract",{"_index":2083,"t":{},"b":{"10":{}}}],["best_ensemble.bagging_fractionbest_ensemble.atom.k",{"_index":2082,"t":{},"b":{"10":{}}}],["best_mdl",{"_index":3571,"t":{},"b":{"24":{}}}],["best_model",{"_index":2455,"t":{},"b":{"16":{}}}],["best_pip",{"_index":1648,"t":{},"b":{"6":{}}}],["best_stack",{"_index":2784,"t":{},"b":{"17":{}}}],["best_stack.regressor2.lambda10.27808532802195",{"_index":2786,"t":{},"b":{"17":{}}}],["better",{"_index":1589,"t":{},"b":{"6":{},"7":{},"17":{},"18":{},"21":{},"22":{},"24":{}}}],["between",{"_index":693,"t":{},"b":{"3":{},"13":{},"14":{},"15":{},"20":{},"21":{},"26":{}}}],["bex3cod",{"_index":426,"t":{},"b":{"1":{}}}],["beyond",{"_index":3070,"t":{},"b":{"21":{}}}],["bi2cod",{"_index":424,"t":{},"b":{"1":{}}}],["big",{"_index":252,"t":{},"b":{"1":{},"5":{}}}],["bind",{"_index":2434,"t":{},"b":{"16":{}}}],["bins=30",{"_index":3549,"t":{},"b":{"24":{}}}],["bins=50",{"_index":3524,"t":{},"b":{"24":{}}}],["bit",{"_index":526,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"14":{},"22":{},"23":{},"24":{},"25":{}}}],["black",{"_index":191,"t":{},"b":{"1":{},"3":{},"21":{}}}],["blaom",{"_index":125,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["blend",{"_index":937,"t":{},"b":{"4":{},"17":{}}}],["blendus",{"_index":806,"t":{},"b":{"4":{}}}],["blog",{"_index":2521,"t":{},"b":{"17":{}}}],["blue",{"_index":2931,"t":{},"b":{"19":{}}}],["bool",{"_index":611,"t":{},"b":{"2":{}}}],["boost",{"_index":1368,"t":{},"b":{"5":{},"18":{},"25":{}}}],["booster",{"_index":1181,"t":{},"b":{"5":{}}}],["bootstrap",{"_index":3359,"t":{"23":{}},"b":{"23":{}}}],["bootstrapget",{"_index":3363,"t":{},"b":{"23":{}}}],["boston",{"_index":162,"t":{},"b":{"1":{},"2":{},"3":{},"11":{},"17":{},"21":{},"25":{}}}],["boston.crim",{"_index":402,"t":{},"b":{"1":{}}}],["boston.crim[1:5]5",{"_index":249,"t":{},"b":{"1":{}}}],["boston.crim_x_zn",{"_index":401,"t":{},"b":{"1":{}}}],["boston.zn",{"_index":403,"t":{},"b":{"1":{}}}],["boston2",{"_index":757,"t":{},"b":{"3":{}}}],["boston3",{"_index":764,"t":{},"b":{"3":{}}}],["boston[1:5",{"_index":258,"t":{},"b":{"1":{}}}],["boston[3",{"_index":254,"t":{},"b":{"1":{}}}],["both",{"_index":944,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"13":{}}}],["box",{"_index":2332,"t":{},"b":{"14":{},"15":{}}}],["box=box_model",{"_index":2406,"t":{},"b":{"15":{}}}],["box_model",{"_index":2358,"t":{},"b":{"14":{},"15":{}}}],["box_model::univariateboxcoxtransform",{"_index":2421,"t":{},"b":{"15":{}}}],["branch",{"_index":1981,"t":{},"b":{"9":{}}}],["brief",{"_index":2942,"t":{},"b":{"20":{}}}],["bsmtfinsf1",{"_index":837,"t":{},"b":{"4":{},"17":{}}}],["buick",{"_index":3004,"t":{},"b":{"20":{}}}],["build",{"_index":2100,"t":{},"b":{"11":{},"16":{},"17":{},"18":{},"22":{},"23":{}}}],["built",{"_index":135,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["burak",{"_index":2522,"t":{},"b":{"17":{}}}],["bve",{"_index":923,"t":{},"b":{"4":{}}}],["by(iri",{"_index":509,"t":{},"b":{"1":{}}}],["c",{"_index":2927,"t":{},"b":{"19":{}}}],["call",{"_index":928,"t":{},"b":{"4":{},"10":{},"12":{},"14":{},"17":{},"20":{}}}],["capillary_refill_tim",{"_index":1467,"t":{},"b":{"6":{}}}],["caravan",{"_index":3306,"t":{},"b":{"22":{}}}],["caravan.purchas",{"_index":3311,"t":{},"b":{"22":{}}}],["care",{"_index":2457,"t":{},"b":{"16":{},"20":{}}}],["carseat",{"_index":3633,"t":{},"b":{"25":{}}}],["carseats.high",{"_index":3667,"t":{},"b":{"25":{}}}],["case",{"_index":702,"t":{},"b":{"3":{},"8":{},"13":{},"14":{},"17":{},"21":{},"22":{},"23":{}}}],["catbat",{"_index":3500,"t":{},"b":{"24":{}}}],["categor",{"_index":1,"t":{"0":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["categori",{"_index":79,"t":{},"b":{"0":{}}}],["categorical([\"aa",{"_index":65,"t":{},"b":{"0":{}}}],["categorical([\"high",{"_index":111,"t":{},"b":{"0":{}}}],["categorical(['m",{"_index":1968,"t":{},"b":{"9":{}}}],["categorical([1",{"_index":99,"t":{},"b":{"0":{}}}],["categorical(i",{"_index":3739,"t":{},"b":{"26":{}}}],["categoricalarray",{"_index":63,"t":{},"b":{"0":{},"5":{},"18":{}}}],["categoricalarrays.categoricalarray{string,1,uint32",{"_index":71,"t":{},"b":{"0":{}}}],["categoricalarrays.categoricalarray{string,1,uint8",{"_index":3220,"t":{},"b":{"22":{}}}],["categoricalarrays.categoricalstring{uint32",{"_index":844,"t":{},"b":{"4":{}}}],["categoricalarrays.categoricalstring{uint32}[\"b",{"_index":1148,"t":{},"b":{"5":{}}}],["categoricalarrays.categoricalstring{uint8",{"_index":1882,"t":{},"b":{"8":{},"25":{}}}],["categoricalarrays.categoricalvalue{float64,uint32",{"_index":796,"t":{},"b":{"3":{},"8":{}}}],["categoricalarrays.categoricalvalue{int64,uint32",{"_index":798,"t":{},"b":{"3":{},"4":{}}}],["categoricalsmiss",{"_index":56,"t":{},"b":{"0":{}}}],["categoricalsord",{"_index":55,"t":{},"b":{"0":{}}}],["categoricalstring{uint8",{"_index":3195,"t":{},"b":{"22":{}}}],["cbt",{"_index":1424,"t":{},"b":{"5":{}}}],["cc",{"_index":67,"t":{},"b":{"0":{}}}],["cc\"])6",{"_index":69,"t":{},"b":{"0":{}}}],["cha",{"_index":183,"t":{},"b":{"1":{},"3":{},"21":{}}}],["chang",{"_index":93,"t":{},"b":{"0":{},"3":{},"5":{},"7":{},"14":{},"21":{},"26":{}}}],["char",{"_index":642,"t":{},"b":{"2":{}}}],["cheaper",{"_index":2773,"t":{},"b":{"17":{}}}],["check",{"_index":787,"t":{},"b":{"3":{},"5":{},"6":{},"7":{},"11":{},"13":{},"16":{},"17":{},"22":{},"23":{},"26":{}}}],["check_measur",{"_index":1119,"t":{},"b":{"4":{},"16":{},"23":{}}}],["chemic",{"_index":1678,"t":{},"b":{"7":{}}}],["chevel",{"_index":2998,"t":{},"b":{"20":{}}}],["chevrolet",{"_index":2997,"t":{},"b":{"20":{}}}],["child",{"_index":1367,"t":{},"b":{"5":{}}}],["chit",{"_index":3501,"t":{},"b":{"24":{}}}],["chmrun",{"_index":3502,"t":{},"b":{"24":{}}}],["choos",{"_index":15,"t":{"8":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["cic0",{"_index":648,"t":{},"b":{"2":{}}}],["cl",{"_index":1152,"t":{},"b":{"5":{}}}],["class",{"_index":697,"t":{},"b":{"3":{},"5":{},"7":{},"13":{},"22":{}}}],["classes(y[1])2",{"_index":3219,"t":{},"b":{"22":{}}}],["classesiniti",{"_index":1677,"t":{},"b":{"7":{}}}],["classic",{"_index":159,"t":{},"b":{"1":{},"2":{},"25":{}}}],["classif",{"_index":1168,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"18":{}}}],["classifi",{"_index":1603,"t":{},"b":{"6":{},"7":{},"8":{},"13":{},"16":{},"17":{},"22":{},"25":{},"26":{}}}],["classifiertun",{"_index":3628,"t":{},"b":{"25":{}}}],["clear",{"_index":1861,"t":{},"b":{"7":{}}}],["clearli",{"_index":572,"t":{},"b":{"2":{},"7":{}}}],["clf",{"_index":1619,"t":{},"b":{"6":{},"7":{},"22":{}}}],["clf.lambda",{"_index":1645,"t":{},"b":{"6":{}}}],["clf=knnclassifi",{"_index":1783,"t":{},"b":{"7":{}}}],["clf=multinomialclassifi",{"_index":1785,"t":{},"b":{"7":{}}}],["click",{"_index":50,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["cloud",{"_index":3726,"t":{},"b":{"26":{}}}],["cluster",{"_index":2828,"t":{"19":{}},"b":{"18":{},"19":{}}}],["cm",{"_index":2412,"t":{},"b":{"15":{},"22":{}}}],["cm[\"down",{"_index":3227,"t":{},"b":{"22":{}}}],["cm[\"no",{"_index":3326,"t":{},"b":{"22":{}}}],["cm[\"up",{"_index":3228,"t":{},"b":{"22":{}}}],["cm[\"ye",{"_index":3327,"t":{},"b":{"22":{}}}],["cmach",{"_index":894,"t":{},"b":{"4":{}}}],["coars",{"_index":1083,"t":{},"b":{"4":{}}}],["code",{"_index":784,"t":{},"b":{"3":{},"12":{},"23":{}}}],["coef",{"_index":3582,"t":{},"b":{"24":{}}}],["coeffici",{"_index":3111,"t":{},"b":{"21":{}}}],["coerc",{"_index":756,"t":{},"b":{"3":{},"6":{},"8":{},"9":{},"17":{},"19":{}}}],["coerce(boston",{"_index":758,"t":{},"b":{"3":{},"21":{}}}],["coerce(data",{"_index":778,"t":{},"b":{"3":{},"6":{}}}],["coerce(datac",{"_index":1542,"t":{},"b":{"6":{}}}],["coerce(featur",{"_index":767,"t":{},"b":{"3":{}}}],["coerce(i",{"_index":1716,"t":{},"b":{"7":{},"22":{}}}],["coerce(iri",{"_index":1887,"t":{},"b":{"8":{}}}],["coerce(x",{"_index":1733,"t":{},"b":{"7":{},"9":{},"19":{},"24":{},"25":{}}}],["coerce(x0",{"_index":2744,"t":{},"b":{"17":{}}}],["coercion",{"_index":771,"t":{},"b":{"3":{},"9":{}}}],["coercionautotypemachin",{"_index":689,"t":{},"b":{"3":{}}}],["col",{"_index":479,"t":{},"b":{"1":{},"6":{},"22":{},"23":{},"24":{},"25":{}}}],["col1",{"_index":600,"t":{},"b":{"2":{}}}],["col1,col2,col3,col4,col5,col6,col7,col8",{"_index":588,"t":{},"b":{"2":{}}}],["col2",{"_index":601,"t":{},"b":{"2":{}}}],["col3",{"_index":602,"t":{},"b":{"2":{}}}],["col4",{"_index":603,"t":{},"b":{"2":{}}}],["col5",{"_index":604,"t":{},"b":{"2":{}}}],["col6",{"_index":605,"t":{},"b":{"2":{}}}],["col7",{"_index":606,"t":{},"b":{"2":{}}}],["col8",{"_index":607,"t":{},"b":{"2":{}}}],["colic",{"_index":1439,"t":{"6":{}},"b":{"6":{}}}],["colic.data",{"_index":1456,"t":{},"b":{"6":{}}}],["colic.test",{"_index":1458,"t":{},"b":{"6":{}}}],["colic/hors",{"_index":1455,"t":{},"b":{"6":{}}}],["collabor",{"_index":128,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["collat",{"_index":2060,"t":{},"b":{"10":{}}}],["collect",{"_index":1563,"t":{},"b":{"6":{},"16":{},"20":{},"23":{}}}],["collect(1:length(coefs))[abs.(coef",{"_index":3611,"t":{},"b":{"24":{}}}],["collect(range(extrema(x.lstat",{"_index":3099,"t":{},"b":{"21":{}}}],["collect(skipmissing(i",{"_index":3516,"t":{},"b":{"24":{}}}],["colnam",{"_index":247,"t":{},"b":{"1":{},"7":{},"8":{}}}],["color",{"_index":1703,"t":{},"b":{"7":{}}}],["color=\"blu",{"_index":1852,"t":{},"b":{"7":{}}}],["color=\"green",{"_index":3550,"t":{},"b":{"24":{}}}],["color=\"magenta",{"_index":1855,"t":{},"b":{"7":{},"24":{}}}],["color=\"orang",{"_index":3557,"t":{},"b":{"24":{}}}],["color=\"r",{"_index":1849,"t":{},"b":{"7":{},"19":{}}}],["color=c",{"_index":2936,"t":{},"b":{"19":{}}}],["colour",{"_index":1836,"t":{},"b":{"7":{}}}],["colsample_bylevel",{"_index":1191,"t":{},"b":{"5":{}}}],["colsample_bytre",{"_index":1190,"t":{},"b":{"5":{}}}],["column",{"_index":175,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"17":{},"19":{},"20":{},"21":{},"23":{},"25":{}}}],["column1",{"_index":675,"t":{},"b":{"2":{}}}],["column2",{"_index":676,"t":{},"b":{"2":{}}}],["column3",{"_index":677,"t":{},"b":{"2":{}}}],["column4",{"_index":678,"t":{},"b":{"2":{}}}],["column5",{"_index":679,"t":{},"b":{"2":{}}}],["columns/statist",{"_index":515,"t":{},"b":{"1":{}}}],["columnsd",{"_index":1442,"t":{},"b":{"6":{}}}],["columnsmiss",{"_index":143,"t":{},"b":{"1":{}}}],["combin",{"_index":446,"t":{},"b":{"1":{},"4":{}}}],["combinegroupbybyaggregatethi",{"_index":146,"t":{},"b":{"1":{}}}],["come",{"_index":3221,"t":{},"b":{"22":{}}}],["command",{"_index":1941,"t":{},"b":{"8":{},"20":{}}}],["commandsload",{"_index":2939,"t":{},"b":{"20":{}}}],["comment",{"_index":1231,"t":{},"b":{"5":{},"7":{}}}],["common",{"_index":819,"t":{},"b":{"4":{},"5":{},"8":{}}}],["compar",{"_index":932,"t":{},"b":{"4":{},"7":{},"17":{},"22":{},"23":{},"24":{}}}],["compat",{"_index":622,"t":{},"b":{"2":{},"13":{},"14":{},"22":{}}}],["complement",{"_index":2531,"t":{},"b":{"17":{}}}],["complet",{"_index":154,"t":{},"b":{"1":{},"7":{},"17":{},"19":{}}}],["compon",{"_index":2493,"t":{},"b":{"17":{},"19":{}}}],["compos",{"_index":24,"t":{"9":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["composit",{"_index":2160,"t":{},"b":{"11":{},"12":{},"15":{},"17":{},"21":{}}}],["compositemodel",{"_index":2408,"t":{},"b":{"15":{}}}],["compositemodel(std=std_model",{"_index":2405,"t":{},"b":{"15":{}}}],["compositemodel2",{"_index":2419,"t":{},"b":{"15":{}}}],["compositemodel2(standard",{"_index":2427,"t":{},"b":{"15":{}}}],["comppric",{"_index":3636,"t":{},"b":{"25":{}}}],["comput",{"_index":363,"t":{},"b":{"1":{},"4":{},"20":{},"21":{},"22":{}}}],["computation",{"_index":2771,"t":{},"b":{"17":{}}}],["computationalresources.cpu1{nothing}(noth",{"_index":1117,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"23":{}}}],["concaten",{"_index":2615,"t":{},"b":{"17":{}}}],["concept",{"_index":2777,"t":{},"b":{"17":{}}}],["conclud",{"_index":1593,"t":{},"b":{"6":{}}}],["conclus",{"_index":3476,"t":{},"b":{"23":{}}}],["condit",{"_index":3266,"t":{},"b":{"22":{}}}],["confus",{"_index":3218,"t":{},"b":{"22":{}}}],["confusion_matrix(i",{"_index":3249,"t":{},"b":{"22":{}}}],["connect",{"_index":2409,"t":{},"b":{"15":{}}}],["consequ",{"_index":752,"t":{},"b":{"3":{},"16":{}}}],["consid",{"_index":109,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"6":{},"7":{},"13":{},"14":{},"15":{},"20":{},"21":{},"22":{},"24":{}}}],["consist",{"_index":2524,"t":{},"b":{"17":{}}}],["const",{"_index":3488,"t":{},"b":{"24":{}}}],["constant",{"_index":883,"t":{},"b":{"4":{}}}],["constantclassifi",{"_index":1918,"t":{},"b":{"8":{}}}],["constantregressor()constantregressor",{"_index":885,"t":{},"b":{"4":{}}}],["constitu",{"_index":1685,"t":{},"b":{"7":{}}}],["construct",{"_index":1992,"t":{},"b":{"9":{},"10":{},"17":{}}}],["constructor",{"_index":2029,"t":{},"b":{"10":{},"11":{},"15":{}}}],["contain",{"_index":816,"t":{},"b":{"4":{},"9":{},"13":{},"16":{},"22":{}}}],["content",{"_index":393,"t":{},"b":{"1":{},"2":{},"18":{}}}],["context",{"_index":161,"t":{},"b":{"1":{}}}],["continu",{"_index":708,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"14":{},"17":{},"21":{},"24":{},"25":{}}}],["conveni",{"_index":263,"t":{},"b":{"1":{},"2":{},"6":{},"17":{},"20":{}}}],["convent",{"_index":727,"t":{},"b":{"3":{},"21":{}}}],["convert",{"_index":392,"t":{},"b":{"1":{},"3":{},"14":{}}}],["convert(matrix",{"_index":395,"t":{},"b":{"1":{}}}],["cool",{"_index":3142,"t":{},"b":{"21":{}}}],["copi",{"_index":476,"t":{},"b":{"1":{}}}],["cor",{"_index":3201,"t":{},"b":{"22":{}}}],["corestrict(i",{"_index":2656,"t":{},"b":{"17":{}}}],["corestrict(string.(1:10",{"_index":2616,"t":{},"b":{"17":{}}}],["corestrict(x",{"_index":2614,"t":{},"b":{"17":{}}}],["corestrict(xx",{"_index":2624,"t":{},"b":{"17":{}}}],["correl",{"_index":3200,"t":{},"b":{"22":{}}}],["correspond",{"_index":471,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"10":{},"13":{},"14":{},"17":{},"18":{},"19":{},"21":{},"23":{}}}],["cost",{"_index":3752,"t":{},"b":{"26":{}}}],["count",{"_index":698,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"9":{},"11":{},"17":{},"21":{},"25":{}}}],["counter",{"_index":443,"t":{},"b":{"1":{}}}],["countmap",{"_index":3160,"t":{},"b":{"22":{}}}],["countmap(i",{"_index":3225,"t":{},"b":{"22":{}}}],["countmap(purchas",{"_index":3325,"t":{},"b":{"22":{}}}],["countmap(y[train",{"_index":1226,"t":{},"b":{"5":{}}}],["cours",{"_index":2169,"t":{},"b":{"11":{},"16":{},"20":{}}}],["cox",{"_index":2333,"t":{},"b":{"14":{}}}],["cp_data",{"_index":1484,"t":{},"b":{"6":{}}}],["cpu_predictor",{"_index":1207,"t":{},"b":{"5":{}}}],["crab",{"_index":41,"t":{"5":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["crazi",{"_index":1641,"t":{},"b":{"6":{}}}],["crbi",{"_index":3504,"t":{},"b":{"24":{}}}],["creat",{"_index":890,"t":{},"b":{"4":{},"11":{},"12":{},"14":{},"17":{},"18":{},"21":{},"23":{}}}],["creg",{"_index":884,"t":{},"b":{"4":{}}}],["crim",{"_index":180,"t":{},"b":{"1":{},"3":{},"21":{}}}],["cross",{"_index":1085,"t":{"23":{}},"b":{"4":{},"6":{},"13":{},"16":{},"17":{},"18":{},"22":{},"23":{},"24":{}}}],["cross_entropi",{"_index":2448,"t":{},"b":{"16":{}}}],["cross_entropy(i",{"_index":1658,"t":{},"b":{"6":{},"13":{},"22":{}}}],["crossvalid",{"_index":3435,"t":{},"b":{"23":{}}}],["crucial",{"_index":2527,"t":{},"b":{"17":{}}}],["crun",{"_index":3503,"t":{},"b":{"24":{}}}],["cs",{"_index":2902,"t":{},"b":{"19":{}}}],["csv",{"_index":578,"t":{},"b":{"2":{},"6":{},"7":{},"18":{},"20":{}}}],["csv.file",{"_index":645,"t":{},"b":{"2":{}}}],["csv.jl",{"_index":558,"t":{},"b":{"2":{},"7":{}}}],["csv.read",{"_index":584,"t":{},"b":{"2":{}}}],["csv.read(\"path/to/file.csv",{"_index":625,"t":{},"b":{"2":{}}}],["csv.read(fpath",{"_index":655,"t":{},"b":{"2":{}}}],["csv.read(fpath)3×8",{"_index":599,"t":{},"b":{"2":{}}}],["csv.read(req.bodi",{"_index":1690,"t":{},"b":{"7":{}}}],["csv.read(req1.bodi",{"_index":1488,"t":{},"b":{"6":{}}}],["csv.read(req2.bodi",{"_index":1490,"t":{},"b":{"6":{}}}],["csv_opt",{"_index":1485,"t":{},"b":{"6":{}}}],["csvbasic",{"_index":546,"t":{},"b":{"2":{}}}],["cultivar",{"_index":1682,"t":{},"b":{"7":{}}}],["cumsum(r.principalvar",{"_index":2868,"t":{},"b":{"19":{}}}],["current",{"_index":773,"t":{},"b":{"3":{},"6":{},"8":{},"23":{},"24":{}}}],["curv",{"_index":1241,"t":{},"b":{"5":{},"11":{},"12":{},"22":{}}}],["curve.measur",{"_index":1355,"t":{},"b":{"5":{},"12":{}}}],["curves.measur",{"_index":2153,"t":{},"b":{"11":{}}}],["custom",{"_index":377,"t":{},"b":{"1":{}}}],["cut",{"_index":1775,"t":{},"b":{"7":{}}}],["cv",{"_index":1104,"t":{},"b":{"4":{},"23":{},"24":{}}}],["cv(nfolds=6",{"_index":1088,"t":{},"b":{"4":{}}}],["cw",{"_index":1153,"t":{},"b":{"5":{}}}],["cwalk",{"_index":3505,"t":{},"b":{"24":{}}}],["cyclic",{"_index":1215,"t":{},"b":{"5":{}}}],["cylind",{"_index":2987,"t":{},"b":{"20":{}}}],["d",{"_index":383,"t":{},"b":{"1":{},"22":{},"24":{}}}],["d.fit_mle(d.exponenti",{"_index":3528,"t":{},"b":{"24":{}}}],["d.fit_mle(d.laplac",{"_index":3555,"t":{},"b":{"24":{}}}],["d.fit_mle(d.norm",{"_index":3553,"t":{},"b":{"24":{}}}],["dag",{"_index":2327,"t":{},"b":{"14":{}}}],["data",{"_index":2,"t":{"0":{},"2":{},"3":{},"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["data...pca",{"_index":2839,"t":{},"b":{"19":{}}}],["data.medv",{"_index":3080,"t":{},"b":{"21":{}}}],["data2",{"_index":777,"t":{},"b":{"3":{}}}],["data2×3",{"_index":2351,"t":{},"b":{"14":{}}}],["data_test",{"_index":1489,"t":{},"b":{"6":{}}}],["data_train",{"_index":1487,"t":{},"b":{"6":{}}}],["dataad",{"_index":142,"t":{},"b":{"1":{}}}],["databas",{"_index":2941,"t":{},"b":{"20":{}}}],["databases/hors",{"_index":1454,"t":{},"b":{"6":{}}}],["databases/wine/wine.data",{"_index":1689,"t":{},"b":{"7":{}}}],["datac",{"_index":1513,"t":{},"b":{"6":{}}}],["datac[.!missing_outcom",{"_index":1565,"t":{},"b":{"6":{}}}],["datachoos",{"_index":1878,"t":{},"b":{"8":{}}}],["dataconvert",{"_index":141,"t":{},"b":{"1":{}}}],["datadeclar",{"_index":1963,"t":{},"b":{"9":{}}}],["datadescrib",{"_index":140,"t":{},"b":{"1":{}}}],["datafit",{"_index":2231,"t":{},"b":{"13":{}}}],["datafram",{"_index":138,"t":{"1":{}},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"14":{},"15":{},"18":{},"20":{},"21":{},"22":{},"23":{},"25":{}}}],["dataframe([hp.^i",{"_index":3441,"t":{},"b":{"23":{}}}],["dataframe([hpn.^i",{"_index":3478,"t":{},"b":{"23":{}}}],["dataframe(hp1=hp",{"_index":3390,"t":{},"b":{"23":{}}}],["dataframe(hp1=hpn",{"_index":3424,"t":{},"b":{"23":{}}}],["dataframe(x",{"_index":826,"t":{},"b":{"4":{},"5":{}}}],["dataframe(x1=x1",{"_index":2310,"t":{},"b":{"14":{},"15":{}}}],["dataframe(xraw",{"_index":2012,"t":{},"b":{"10":{}}}],["dataframes.aggregate(iri",{"_index":528,"t":{},"b":{"1":{}}}],["dataframes.datafram",{"_index":200,"t":{},"b":{"1":{},"2":{},"7":{},"14":{},"19":{},"20":{},"21":{},"22":{}}}],["dataframes.jl",{"_index":150,"t":{},"b":{"1":{},"2":{},"20":{}}}],["datain",{"_index":2499,"t":{},"b":{"17":{}}}],["datainspect",{"_index":1441,"t":{},"b":{"6":{}}}],["datalogist",{"_index":3155,"t":{},"b":{"22":{}}}],["dataplot",{"_index":2940,"t":{},"b":{"20":{}}}],["dataroc",{"_index":3158,"t":{},"b":{"22":{}}}],["dataset",{"_index":163,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"11":{},"13":{},"20":{},"22":{}}}],["dataset(\"dataset",{"_index":450,"t":{},"b":{"1":{},"8":{},"19":{}}}],["dataset(\"gap",{"_index":409,"t":{},"b":{"1":{}}}],["dataset(\"islr",{"_index":2878,"t":{},"b":{"19":{},"20":{},"22":{},"23":{},"24":{},"25":{}}}],["dataset(\"mass",{"_index":167,"t":{},"b":{"1":{},"2":{},"3":{},"21":{},"25":{}}}],["datasimpl",{"_index":2193,"t":{},"b":{"12":{}}}],["datatyp",{"_index":2743,"t":{},"b":{"17":{},"21":{},"22":{}}}],["dates.d",{"_index":609,"t":{},"b":{"2":{}}}],["dates.datetim",{"_index":610,"t":{},"b":{"2":{}}}],["david",{"_index":2519,"t":{},"b":{"17":{}}}],["deal",{"_index":1545,"t":{},"b":{"6":{},"18":{}}}],["deaper",{"_index":1867,"t":{},"b":{"7":{}}}],["decid",{"_index":2158,"t":{},"b":{"11":{},"16":{}}}],["decis",{"_index":2120,"t":{},"b":{"11":{},"13":{},"16":{},"25":{}}}],["decisiontre",{"_index":1912,"t":{},"b":{"8":{},"12":{}}}],["decisiontree.jl",{"_index":1943,"t":{},"b":{"8":{},"25":{}}}],["decisiontreeclassifi",{"_index":1920,"t":{},"b":{"8":{},"13":{},"16":{},"25":{}}}],["decisiontreeclassifier()decisiontreeclassifi",{"_index":2234,"t":{},"b":{"13":{}}}],["decisiontreeclassifierdecisiontreeclassifi",{"_index":2435,"t":{},"b":{"16":{}}}],["decisiontreeregressor",{"_index":2197,"t":{},"b":{"12":{},"16":{},"17":{},"25":{}}}],["decisiontreeregressordecisiontreeregressor",{"_index":2121,"t":{},"b":{"11":{}}}],["declar",{"_index":72,"t":{},"b":{"0":{},"9":{},"13":{},"21":{}}}],["default",{"_index":85,"t":{},"b":{"0":{},"3":{},"4":{},"5":{},"6":{},"7":{},"10":{},"17":{},"19":{},"21":{},"22":{},"24":{}}}],["defin",{"_index":53,"t":{},"b":{"0":{},"3":{},"4":{},"6":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"16":{},"17":{},"20":{},"21":{},"22":{}}}],["definit",{"_index":2191,"t":{},"b":{"12":{},"17":{}}}],["degre",{"_index":3386,"t":{},"b":{"23":{}}}],["delim",{"_index":641,"t":{},"b":{"2":{},"6":{}}}],["demonstr",{"_index":1175,"t":{},"b":{"5":{},"17":{},"21":{}}}],["density=tru",{"_index":3132,"t":{},"b":{"21":{},"24":{}}}],["depend",{"_index":2607,"t":{},"b":{"17":{}}}],["depth",{"_index":1365,"t":{},"b":{"5":{},"13":{},"16":{},"25":{}}}],["depthwis",{"_index":1202,"t":{},"b":{"5":{}}}],["deriv",{"_index":387,"t":{},"b":{"1":{},"7":{}}}],["describ",{"_index":282,"t":{},"b":{"1":{},"6":{},"17":{},"20":{}}}],["describe(auto",{"_index":3013,"t":{},"b":{"20":{}}}],["describe(boston",{"_index":286,"t":{},"b":{"1":{},"21":{}}}],["describe(data",{"_index":2848,"t":{},"b":{"19":{}}}],["describe(mao",{"_index":410,"t":{},"b":{"1":{}}}],["describe(smarket",{"_index":3177,"t":{},"b":{"22":{}}}],["describe(subdf_setosa",{"_index":489,"t":{},"b":{"1":{}}}],["describe(xc",{"_index":1740,"t":{},"b":{"7":{}}}],["describe(y)(n",{"_index":2108,"t":{},"b":{"11":{}}}],["descript",{"_index":1508,"t":{},"b":{"6":{},"22":{}}}],["detail",{"_index":644,"t":{},"b":{"2":{},"8":{},"10":{},"18":{},"20":{},"22":{}}}],["determin",{"_index":1683,"t":{},"b":{"7":{}}}],["determinist",{"_index":921,"t":{},"b":{"4":{},"17":{},"18":{}}}],["deterministicnetwork",{"_index":1013,"t":{},"b":{"4":{},"15":{}}}],["deviat",{"_index":1737,"t":{},"b":{"7":{},"19":{}}}],["di",{"_index":187,"t":{},"b":{"1":{},"3":{},"21":{}}}],["dict(\"virginica",{"_index":2258,"t":{},"b":{"13":{}}}],["differ",{"_index":1044,"t":{},"b":{"4":{},"7":{},"8":{},"15":{},"17":{},"20":{},"22":{},"23":{}}}],["difficult",{"_index":1820,"t":{},"b":{"7":{}}}],["dig",{"_index":1866,"t":{},"b":{"7":{}}}],["digit",{"_index":2292,"t":{},"b":{"13":{},"22":{},"23":{}}}],["digits=2",{"_index":2289,"t":{},"b":{"13":{},"23":{}}}],["digits=4)1.6019",{"_index":2278,"t":{},"b":{"13":{}}}],["digits=5",{"_index":2587,"t":{},"b":{"17":{}}}],["dilut",{"_index":1707,"t":{},"b":{"7":{}}}],["dimens",{"_index":1857,"t":{},"b":{"7":{},"20":{}}}],["direct",{"_index":2324,"t":{},"b":{"14":{},"22":{}}}],["directli",{"_index":820,"t":{},"b":{"4":{},"14":{},"23":{}}}],["disable_default_eval_metr",{"_index":1183,"t":{},"b":{"5":{}}}],["discch",{"_index":2882,"t":{},"b":{"19":{}}}],["discmm",{"_index":2883,"t":{},"b":{"19":{}}}],["discrep",{"_index":2275,"t":{},"b":{"13":{}}}],["discrete_to_continu",{"_index":791,"t":{},"b":{"3":{},"6":{},"21":{}}}],["discuss",{"_index":551,"t":{},"b":{"2":{}}}],["displac",{"_index":2988,"t":{},"b":{"20":{}}}],["display",{"_index":1826,"t":{},"b":{"7":{},"22":{}}}],["display_depth",{"_index":2236,"t":{},"b":{"13":{},"16":{},"25":{}}}],["distanc",{"_index":3287,"t":{},"b":{"22":{}}}],["distances.euclidean(0.0",{"_index":957,"t":{},"b":{"4":{},"10":{},"17":{}}}],["distinct",{"_index":690,"t":{},"b":{"3":{},"6":{}}}],["distinction?th",{"_index":683,"t":{},"b":{"3":{}}}],["distinguish",{"_index":692,"t":{},"b":{"3":{}}}],["distract",{"_index":1498,"t":{},"b":{"6":{}}}],["distribut",{"_index":917,"t":{},"b":{"4":{},"24":{}}}],["distribution_typ",{"_index":886,"t":{},"b":{"4":{}}}],["distributions.jl",{"_index":924,"t":{},"b":{"4":{}}}],["distributions.norm",{"_index":887,"t":{},"b":{"4":{}}}],["distributions.normal{float64}(μ=179454.34347399411",{"_index":911,"t":{},"b":{"4":{}}}],["div_",{"_index":3606,"t":{},"b":{"24":{}}}],["div_w",{"_index":3607,"t":{},"b":{"24":{}}}],["divers",{"_index":2199,"t":{},"b":{"12":{}}}],["divis",{"_index":3507,"t":{},"b":{"24":{}}}],["do",{"_index":2795,"t":{},"b":{"18":{},"22":{},"24":{}}}],["doc",{"_index":60,"t":{},"b":{"0":{},"3":{},"20":{},"22":{}}}],["document",{"_index":151,"t":{},"b":{"1":{},"18":{}}}],["doesn't",{"_index":123,"t":{},"b":{"0":{},"2":{},"5":{},"23":{}}}],["don't",{"_index":575,"t":{},"b":{"2":{},"6":{},"20":{},"21":{}}}],["done",{"_index":1082,"t":{},"b":{"4":{},"6":{},"7":{},"9":{},"10":{},"11":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"22":{}}}],["dot",{"_index":1988,"t":{},"b":{"9":{},"14":{},"16":{},"20":{}}}],["down",{"_index":3214,"t":{},"b":{"22":{}}}],["download",{"_index":44,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["drop",{"_index":276,"t":{},"b":{"1":{},"3":{},"6":{}}}],["drop_last",{"_index":1650,"t":{},"b":{"6":{}}}],["dtc",{"_index":1667,"t":{},"b":{"6":{},"16":{},"25":{}}}],["dtcdecis",{"_index":3629,"t":{},"b":{"25":{}}}],["dtr",{"_index":2130,"t":{},"b":{"11":{},"16":{},"25":{}}}],["dtr_model",{"_index":3694,"t":{},"b":{"25":{}}}],["dummi",{"_index":880,"t":{},"b":{"4":{},"9":{},"10":{},"14":{},"16":{},"17":{}}}],["dummyclassifi",{"_index":1921,"t":{},"b":{"8":{}}}],["dure",{"_index":2529,"t":{},"b":{"17":{}}}],["e",{"_index":2132,"t":{},"b":{"11":{},"17":{}}}],["e.g",{"_index":695,"t":{},"b":{"3":{},"14":{},"15":{},"16":{}}}],["e1",{"_index":2715,"t":{},"b":{"17":{}}}],["e2",{"_index":2717,"t":{},"b":{"17":{}}}],["each",{"_index":176,"t":{},"b":{"1":{},"4":{},"5":{},"7":{},"8":{},"13":{},"17":{},"18":{},"19":{},"21":{},"22":{},"23":{}}}],["earlier",{"_index":573,"t":{},"b":{"2":{},"7":{},"17":{},"24":{}}}],["easi",{"_index":400,"t":{},"b":{"1":{},"7":{},"15":{}}}],["easili",{"_index":246,"t":{},"b":{"1":{},"2":{},"20":{},"22":{}}}],["ecosystem",{"_index":1939,"t":{},"b":{"8":{}}}],["edfit",{"_index":3527,"t":{},"b":{"24":{}}}],["educ",{"_index":3641,"t":{},"b":{"25":{}}}],["effect",{"_index":759,"t":{},"b":{"3":{},"4":{},"5":{},"13":{},"14":{},"22":{}}}],["effici",{"_index":582,"t":{},"b":{"2":{}}}],["eg",{"_index":2194,"t":{},"b":{"12":{}}}],["elast",{"_index":3616,"t":{},"b":{"24":{}}}],["elasticnetregressor",{"_index":3617,"t":{},"b":{"24":{}}}],["element",{"_index":70,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"6":{},"7":{},"13":{},"14":{},"17":{},"19":{},"20":{},"22":{},"24":{},"26":{}}}],["elementari",{"_index":543,"t":{"2":{}},"b":{"2":{},"18":{}}}],["elementwis",{"_index":2946,"t":{},"b":{"20":{},"21":{}}}],["elscitype(boston2.chas)orderedfactor{2",{"_index":761,"t":{},"b":{"3":{}}}],["elscitype(feature)textu",{"_index":765,"t":{},"b":{"3":{}}}],["elscitype(feature2)multiclass{2",{"_index":768,"t":{},"b":{"3":{}}}],["eltyp",{"_index":374,"t":{},"b":{"1":{},"21":{},"22":{}}}],["eltype(boston2.chas)categoricalarrays.categoricalvalue{int64,uint32",{"_index":760,"t":{},"b":{"3":{}}}],["eltype)14×4",{"_index":3078,"t":{},"b":{"21":{}}}],["eltype)9×4",{"_index":3178,"t":{},"b":{"22":{}}}],["emean",{"_index":2719,"t":{},"b":{"17":{}}}],["encapsul",{"_index":2381,"t":{},"b":{"14":{}}}],["encod",{"_index":694,"t":{},"b":{"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"13":{},"17":{},"21":{},"24":{},"25":{},"26":{}}}],["end",{"_index":37,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["endadaboostclassifi",{"_index":1909,"t":{},"b":{"8":{}}}],["endsurgeri",{"_index":1521,"t":{},"b":{"6":{}}}],["enough",{"_index":1772,"t":{},"b":{"7":{},"14":{},"19":{}}}],["ensembl",{"_index":21,"t":{"10":{},"11":{},"12":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["ensemble'",{"_index":2053,"t":{},"b":{"10":{}}}],["ensemble_model",{"_index":2030,"t":{},"b":{"10":{}}}],["ensemblemodel",{"_index":2028,"t":{},"b":{"10":{},"12":{}}}],["ensemblemodel(atom=decisiontreeregressor",{"_index":2139,"t":{},"b":{"11":{}}}],["ensemblemodel(atom=dtr)deterministicensemblemodel",{"_index":2479,"t":{},"b":{"16":{}}}],["ensemblemodel(atom=knn_model",{"_index":2031,"t":{},"b":{"10":{}}}],["ensemblestrain",{"_index":2001,"t":{},"b":{"10":{}}}],["ensemblesystemat",{"_index":2002,"t":{},"b":{"10":{}}}],["ensur",{"_index":2198,"t":{},"b":{"12":{}}}],["entri",{"_index":75,"t":{},"b":{"0":{},"3":{},"22":{}}}],["entropi",{"_index":1626,"t":{},"b":{"6":{},"13":{},"22":{}}}],["enumerate(names(x",{"_index":3112,"t":{},"b":{"21":{}}}],["environ",{"_index":1942,"t":{},"b":{"8":{},"18":{},"21":{}}}],["ep",{"_index":2449,"t":{},"b":{"16":{}}}],["equal",{"_index":1895,"t":{},"b":{"8":{}}}],["equival",{"_index":2022,"t":{},"b":{"10":{},"14":{}}}],["error",{"_index":2144,"t":{},"b":{"11":{},"17":{},"21":{},"22":{},"23":{},"24":{}}}],["essenti",{"_index":3067,"t":{},"b":{"21":{}}}],["estack",{"_index":2722,"t":{},"b":{"17":{}}}],["estack;e1",{"_index":2724,"t":{},"b":{"17":{}}}],["estim",{"_index":2034,"t":{},"b":{"10":{}}}],["estimates.measurement[1",{"_index":2045,"t":{},"b":{"10":{}}}],["eta",{"_index":1184,"t":{},"b":{"5":{}}}],["etc",{"_index":566,"t":{},"b":{"2":{},"3":{},"6":{},"7":{},"9":{},"14":{},"21":{},"22":{},"26":{}}}],["eval_metr",{"_index":1220,"t":{},"b":{"5":{}}}],["evalu",{"_index":1005,"t":{"8":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"17":{}}}],["evaluate!(cm",{"_index":2414,"t":{},"b":{"15":{}}}],["evaluate!(ensembl",{"_index":2035,"t":{},"b":{"10":{}}}],["evaluate!(knn",{"_index":1804,"t":{},"b":{"7":{},"10":{}}}],["evaluate!(m",{"_index":2178,"t":{},"b":{"11":{}}}],["evaluate!(mach",{"_index":1622,"t":{},"b":{"6":{}}}],["evaluate!(multi",{"_index":1806,"t":{},"b":{"7":{}}}],["evaluate!(tre",{"_index":2133,"t":{},"b":{"11":{}}}],["evaluate(model",{"_index":2580,"t":{},"b":{"17":{}}}],["evaluate(pip",{"_index":1993,"t":{},"b":{"9":{}}}],["even",{"_index":749,"t":{},"b":{"3":{},"11":{}}}],["eventu",{"_index":1789,"t":{},"b":{"7":{},"17":{}}}],["everyth",{"_index":1709,"t":{},"b":{"7":{}}}],["exaclti",{"_index":2509,"t":{},"b":{"17":{}}}],["examin",{"_index":1405,"t":{},"b":{"5":{}}}],["exampl",{"_index":38,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["except",{"_index":527,"t":{},"b":{"1":{},"4":{}}}],["exercis",{"_index":2489,"t":{},"b":{"17":{}}}],["exist",{"_index":3069,"t":{},"b":{"21":{}}}],["exp(z",{"_index":993,"t":{},"b":{"4":{}}}],["exp.(x1",{"_index":2308,"t":{},"b":{"14":{},"15":{}}}],["exp.(xraw[:,1",{"_index":2008,"t":{},"b":{"10":{}}}],["expand",{"_index":807,"t":{},"b":{"4":{}}}],["expect",{"_index":76,"t":{},"b":{"0":{},"6":{},"9":{},"17":{},"24":{}}}],["expens",{"_index":2772,"t":{},"b":{"17":{}}}],["experi",{"_index":2809,"t":{},"b":{"18":{}}}],["explain",{"_index":2873,"t":{},"b":{"19":{}}}],["explanatori",{"_index":367,"t":{},"b":{"1":{}}}],["explicit",{"_index":1047,"t":{},"b":{"4":{}}}],["explicitli",{"_index":1008,"t":{},"b":{"4":{}}}],["explor",{"_index":1711,"t":{},"b":{"7":{}}}],["exponenti",{"_index":948,"t":{},"b":{"4":{}}}],["export",{"_index":2505,"t":{},"b":{"17":{}}}],["extend",{"_index":2190,"t":{"12":{}},"b":{"12":{},"18":{}}}],["extern",{"_index":1900,"t":{},"b":{"8":{}}}],["extra",{"_index":3139,"t":{},"b":{"21":{}}}],["extract",{"_index":1399,"t":{},"b":{"5":{},"19":{},"21":{}}}],["extratreesclassifi",{"_index":1922,"t":{},"b":{"8":{}}}],["f",{"_index":1969,"t":{},"b":{"9":{},"17":{}}}],["f()([1",{"_index":2654,"t":{},"b":{"17":{}}}],["f1score",{"_index":3264,"t":{},"b":{"22":{}}}],["f1score(i",{"_index":3260,"t":{},"b":{"22":{}}}],["f::abstractnod",{"_index":2619,"t":{},"b":{"17":{}}}],["facilit",{"_index":1509,"t":{},"b":{"6":{}}}],["fact",{"_index":571,"t":{},"b":{"2":{},"6":{}}}],["factor",{"_index":1714,"t":{},"b":{"7":{},"17":{},"22":{}}}],["fair",{"_index":1655,"t":{},"b":{"6":{},"7":{}}}],["fairli",{"_index":365,"t":{},"b":{"1":{},"14":{},"18":{}}}],["fals",{"_index":1106,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"11":{},"12":{},"13":{},"16":{},"22":{},"23":{},"25":{}}}],["false_positive(cm",{"_index":3255,"t":{},"b":{"22":{}}}],["familiar",{"_index":2814,"t":{},"b":{"18":{}}}],["fancier",{"_index":940,"t":{},"b":{"4":{}}}],["fantast",{"_index":3247,"t":{},"b":{"22":{}}}],["far",{"_index":1007,"t":{},"b":{"4":{},"15":{},"17":{}}}],["fare",{"_index":1435,"t":{},"b":{"5":{}}}],["faster",{"_index":2168,"t":{},"b":{"11":{}}}],["featur",{"_index":364,"t":{},"b":{"1":{},"3":{},"4":{},"6":{},"7":{},"11":{},"12":{},"16":{},"17":{},"19":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["feature(",{"_index":755,"t":{},"b":{"3":{}}}],["feature2",{"_index":766,"t":{},"b":{"3":{}}}],["feature_selector",{"_index":1214,"t":{},"b":{"5":{}}}],["featureselector",{"_index":3453,"t":{},"b":{"23":{}}}],["featureselector(features=[:hp1",{"_index":3394,"t":{},"b":{"23":{}}}],["februari",{"_index":131,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["fece",{"_index":1474,"t":{},"b":{"6":{}}}],["feed",{"_index":1602,"t":{},"b":{"6":{},"14":{},"17":{}}}],["feedback",{"_index":2798,"t":{},"b":{"18":{}}}],["feel",{"_index":1738,"t":{},"b":{"7":{},"21":{},"24":{}}}],["few",{"_index":196,"t":{},"b":{"1":{},"3":{},"6":{},"10":{},"12":{},"17":{},"18":{},"22":{},"24":{}}}],["few_to_finit",{"_index":786,"t":{},"b":{"3":{}}}],["ff",{"_index":2621,"t":{},"b":{"17":{}}}],["field",{"_index":2055,"t":{},"b":{"10":{},"16":{},"23":{}}}],["figur",{"_index":1860,"t":{},"b":{"7":{}}}],["figure(figsize=(8",{"_index":1844,"t":{},"b":{"7":{},"19":{}}}],["figure(figsize=(8,6",{"_index":1353,"t":{},"b":{"5":{},"10":{},"11":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"26":{}}}],["file",{"_index":557,"t":{},"b":{"2":{}}}],["fill",{"_index":1594,"t":{},"b":{"6":{},"20":{}}}],["filler",{"_index":1596,"t":{},"b":{"6":{}}}],["fillimput",{"_index":1595,"t":{},"b":{"6":{}}}],["final",{"_index":275,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"14":{},"17":{},"20":{}}}],["find",{"_index":2797,"t":{},"b":{"18":{},"22":{},"24":{}}}],["findall2",{"_index":1557,"t":{},"b":{"6":{}}}],["fine",{"_index":746,"t":{},"b":{"3":{},"5":{}}}],["finer",{"_index":2170,"t":{},"b":{"11":{}}}],["finit",{"_index":722,"t":{},"b":{"3":{},"6":{}}}],["first",{"_index":195,"t":{},"b":{"1":{},"4":{},"5":{},"6":{},"7":{},"8":{},"11":{},"13":{},"14":{},"15":{},"17":{},"18":{},"21":{},"22":{},"23":{},"24":{}}}],["first(auto",{"_index":2984,"t":{},"b":{"20":{}}}],["first(b1",{"_index":268,"t":{},"b":{"1":{}}}],["first(b2",{"_index":273,"t":{},"b":{"1":{}}}],["first(boston",{"_index":198,"t":{},"b":{"1":{},"21":{}}}],["first(carseat",{"_index":3634,"t":{},"b":{"25":{}}}],["first(d",{"_index":385,"t":{},"b":{"1":{}}}],["first(data",{"_index":657,"t":{},"b":{"2":{}}}],["first(iri",{"_index":451,"t":{},"b":{"1":{},"8":{}}}],["first(iris2",{"_index":1888,"t":{},"b":{"8":{}}}],["first(x",{"_index":829,"t":{},"b":{"4":{},"5":{},"8":{},"14":{}}}],["fit",{"_index":17,"t":{"13":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["fit!(clf",{"_index":3235,"t":{},"b":{"22":{}}}],["fit!(cmach",{"_index":904,"t":{},"b":{"4":{}}}],["fit!(dtc",{"_index":1669,"t":{},"b":{"6":{}}}],["fit!(dtr",{"_index":3696,"t":{},"b":{"25":{}}}],["fit!(fil",{"_index":1598,"t":{},"b":{"6":{}}}],["fit!(i",{"_index":995,"t":{},"b":{"4":{},"14":{},"15":{}}}],["fit!(knn",{"_index":2018,"t":{},"b":{"10":{}}}],["fit!(lr1",{"_index":3401,"t":{},"b":{"23":{}}}],["fit!(lr2",{"_index":3406,"t":{},"b":{"23":{}}}],["fit!(lr3",{"_index":3409,"t":{},"b":{"23":{}}}],["fit!(m",{"_index":2461,"t":{},"b":{"16":{}}}],["fit!(m)machine{probabilistictunedmodel",{"_index":2453,"t":{},"b":{"16":{}}}],["fit!(mach",{"_index":1039,"t":{},"b":{"4":{},"21":{},"25":{}}}],["fit!(mach_uni)machine{linearregressor",{"_index":3088,"t":{},"b":{"21":{}}}],["fit!(machine(onehotencod",{"_index":2746,"t":{},"b":{"17":{}}}],["fit!(machine(tuned_stack",{"_index":2783,"t":{},"b":{"17":{}}}],["fit!(mlm",{"_index":3376,"t":{},"b":{"23":{}}}],["fit!(mstd",{"_index":3332,"t":{},"b":{"22":{}}}],["fit!(mtm",{"_index":1123,"t":{},"b":{"4":{},"5":{},"6":{},"23":{},"24":{},"25":{},"26":{}}}],["fit!(pca",{"_index":1832,"t":{},"b":{"7":{},"19":{}}}],["fit!(pip",{"_index":3543,"t":{},"b":{"24":{}}}],["fit!(rf",{"_index":3711,"t":{},"b":{"25":{}}}],["fit!(spca",{"_index":2895,"t":{},"b":{"19":{}}}],["fit!(spca2",{"_index":2921,"t":{},"b":{"19":{}}}],["fit!(stand",{"_index":2286,"t":{},"b":{"13":{}}}],["fit!(svc",{"_index":3744,"t":{},"b":{"26":{}}}],["fit!(tre",{"_index":2252,"t":{},"b":{"13":{}}}],["fit!(tuned_ensembl",{"_index":2077,"t":{},"b":{"10":{}}}],["fit!(w",{"_index":2347,"t":{},"b":{"14":{}}}],["fit!(xgb",{"_index":3720,"t":{},"b":{"25":{}}}],["fit!(y1_oo",{"_index":2672,"t":{},"b":{"17":{}}}],["fit!(y2_oo",{"_index":2686,"t":{},"b":{"17":{}}}],["fit!(yhat",{"_index":2711,"t":{},"b":{"17":{}}}],["fit_intercept",{"_index":1608,"t":{},"b":{"6":{},"7":{},"8":{},"17":{},"21":{},"23":{}}}],["fitresult",{"_index":2262,"t":{},"b":{"13":{}}}],["fitresults(i",{"_index":1029,"t":{},"b":{"4":{},"15":{}}}],["fitted_param",{"_index":2254,"t":{},"b":{"13":{},"16":{},"21":{}}}],["fitted_params(m).best_model.max_depth1",{"_index":2456,"t":{},"b":{"16":{}}}],["fitted_params(m).best_model.max_depth2",{"_index":2462,"t":{},"b":{"16":{}}}],["fitted_params(mach",{"_index":3104,"t":{},"b":{"21":{}}}],["fitted_params(mach).best_model",{"_index":2785,"t":{},"b":{"17":{}}}],["fitted_params(mach_uni",{"_index":3091,"t":{},"b":{"21":{}}}],["fitted_params(mtm).best_model",{"_index":1126,"t":{},"b":{"4":{},"5":{},"24":{}}}],["fitted_params(mtm).best_model.treedecisiontreeclassifi",{"_index":3689,"t":{},"b":{"25":{}}}],["fitted_params(mtm).best_modelsimplepip",{"_index":1649,"t":{},"b":{"6":{}}}],["fitted_params(mtm.fitresult.fitresult.machin",{"_index":3583,"t":{},"b":{"24":{}}}],["fitted_params(tre",{"_index":2255,"t":{},"b":{"13":{}}}],["fitted_params(tuned_ensemble).best_model",{"_index":2080,"t":{},"b":{"10":{}}}],["fix",{"_index":949,"t":{},"b":{"4":{},"5":{},"11":{},"17":{}}}],["fl",{"_index":1150,"t":{},"b":{"5":{}}}],["flavanoid",{"_index":1700,"t":{},"b":{"7":{}}}],["flexibl",{"_index":2512,"t":{},"b":{"17":{}}}],["float",{"_index":705,"t":{},"b":{"3":{},"7":{},"21":{}}}],["float64",{"_index":201,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"7":{},"8":{},"11":{},"14":{},"16":{},"17":{},"20":{},"21":{},"22":{},"25":{}}}],["flow",{"_index":2335,"t":{},"b":{"14":{},"17":{}}}],["focus",{"_index":156,"t":{},"b":{"1":{}}}],["fold",{"_index":2044,"t":{},"b":{"10":{},"17":{},"18":{},"23":{}}}],["folder",{"_index":2804,"t":{},"b":{"18":{}}}],["folds(1:10",{"_index":2605,"t":{},"b":{"17":{}}}],["folds(data",{"_index":2601,"t":{},"b":{"17":{}}}],["folds(x",{"_index":2653,"t":{},"b":{"17":{}}}],["folds(x::abstractnod",{"_index":2608,"t":{},"b":{"17":{}}}],["folds(xx",{"_index":2610,"t":{},"b":{"17":{}}}],["follow",{"_index":58,"t":{},"b":{"0":{},"4":{},"5":{},"6":{},"9":{},"11":{},"14":{},"18":{},"23":{}}}],["fontsize=12",{"_index":1361,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"16":{},"22":{},"23":{},"24":{}}}],["fontsize=13",{"_index":2937,"t":{},"b":{"19":{}}}],["fontsize=14",{"_index":1357,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"16":{},"19":{},"22":{},"23":{},"24":{}}}],["foo",{"_index":384,"t":{},"b":{"1":{}}}],["foo(x",{"_index":380,"t":{},"b":{"1":{}}}],["foo.csv",{"_index":585,"t":{},"b":{"2":{}}}],["forest",{"_index":2104,"t":{},"b":{"11":{},"16":{},"17":{},"25":{}}}],["forest.atom.n_subfeatur",{"_index":2140,"t":{},"b":{"11":{}}}],["forest.n",{"_index":2159,"t":{},"b":{"11":{}}}],["forest.n_trees=500",{"_index":2549,"t":{},"b":{"17":{}}}],["forestgradi",{"_index":3631,"t":{},"b":{"25":{}}}],["foresttuningreportingprelim",{"_index":2099,"t":{},"b":{"11":{}}}],["forget",{"_index":1591,"t":{},"b":{"6":{}}}],["form",{"_index":470,"t":{},"b":{"1":{},"15":{},"17":{},"23":{}}}],["found",{"_index":720,"t":{},"b":{"3":{},"7":{},"27":{}}}],["fourth",{"_index":2535,"t":{},"b":{"17":{}}}],["fp",{"_index":3090,"t":{},"b":{"21":{}}}],["fpath",{"_index":646,"t":{},"b":{"2":{}}}],["fpath=joinpath(\"data",{"_index":587,"t":{},"b":{"2":{}}}],["fpr",{"_index":3352,"t":{},"b":{"22":{}}}],["fraction",{"_index":2093,"t":{},"b":{"10":{},"11":{},"16":{}}}],["fraction_train",{"_index":2447,"t":{},"b":{"16":{}}}],["frame",{"_index":9,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["franklin.jl",{"_index":136,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["from_network",{"_index":2212,"t":{},"b":{"12":{},"15":{},"17":{}}}],["fs",{"_index":3452,"t":{},"b":{"23":{}}}],["fs.featur",{"_index":3447,"t":{},"b":{"23":{}}}],["full",{"_index":632,"t":{},"b":{"2":{},"4":{},"5":{},"7":{},"14":{},"15":{},"17":{},"20":{}}}],["fulli",{"_index":2418,"t":{},"b":{"15":{}}}],["function",{"_index":95,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"13":{},"14":{},"15":{},"16":{},"17":{},"20":{},"21":{},"22":{}}}],["functions:choos",{"_index":2492,"t":{},"b":{"17":{}}}],["fundament",{"_index":2812,"t":{},"b":{"18":{}}}],["further",{"_index":390,"t":{},"b":{"1":{},"22":{}}}],["gadfly.jl",{"_index":3051,"t":{},"b":{"20":{}}}],["gain",{"_index":2500,"t":{},"b":{"17":{}}}],["gamma",{"_index":1185,"t":{},"b":{"5":{},"6":{},"7":{}}}],["garagearea",{"_index":841,"t":{},"b":{"4":{},"17":{}}}],["garagecar",{"_index":839,"t":{},"b":{"4":{},"17":{}}}],["gaston",{"_index":3062,"t":{},"b":{"20":{}}}],["gats1i",{"_index":650,"t":{},"b":{"2":{}}}],["gaussiannbclassifi",{"_index":1923,"t":{},"b":{"8":{}}}],["gaussianprocessclassifi",{"_index":1925,"t":{},"b":{"8":{}}}],["gbtree",{"_index":1182,"t":{},"b":{"5":{}}}],["gdf",{"_index":484,"t":{},"b":{"1":{}}}],["gdf[1",{"_index":488,"t":{},"b":{"1":{}}}],["gender",{"_index":414,"t":{},"b":{"1":{},"9":{}}}],["gener",{"_index":1240,"t":{},"b":{"5":{},"9":{},"10":{},"14":{},"15":{},"16":{},"17":{},"18":{},"26":{}}}],["generalis",{"_index":3675,"t":{},"b":{"25":{}}}],["gentl",{"_index":2819,"t":{},"b":{"18":{}}}],["gentler",{"_index":3437,"t":{},"b":{"23":{}}}],["get",{"_index":13,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["get_mse(lr",{"_index":3412,"t":{},"b":{"23":{}}}],["get_mse(lr1",{"_index":3415,"t":{},"b":{"23":{}}}],["get_mse(lr2",{"_index":3416,"t":{},"b":{"23":{}}}],["get_mse(lr3",{"_index":3420,"t":{},"b":{"23":{}}}],["get_mse(lr3)get_mse(lr1",{"_index":3417,"t":{},"b":{"23":{}}}],["ggplot2",{"_index":3055,"t":{},"b":{"20":{}}}],["gilbert",{"_index":863,"t":{},"b":{"4":{}}}],["gist",{"_index":3438,"t":{},"b":{"23":{}}}],["give",{"_index":517,"t":{},"b":{"1":{},"10":{},"13":{},"17":{},"20":{},"21":{}}}],["given",{"_index":508,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"8":{},"9":{},"14":{},"21":{},"25":{}}}],["glm",{"_index":1931,"t":{},"b":{"8":{},"21":{}}}],["glm.jl",{"_index":1956,"t":{},"b":{"8":{}}}],["go",{"_index":1640,"t":{},"b":{"6":{},"7":{},"11":{},"13":{},"18":{}}}],["goal",{"_index":1098,"t":{},"b":{"4":{},"6":{},"16":{},"23":{}}}],["good",{"_index":1874,"t":{},"b":{"7":{},"14":{},"17":{},"22":{},"24":{},"25":{}}}],["gradient",{"_index":3714,"t":{},"b":{"25":{}}}],["gradientboostingclassifi",{"_index":1926,"t":{},"b":{"8":{}}}],["grammar",{"_index":3053,"t":{},"b":{"20":{}}}],["graph",{"_index":2326,"t":{},"b":{"14":{}}}],["graphic",{"_index":3054,"t":{},"b":{"20":{}}}],["great",{"_index":1381,"t":{},"b":{"5":{}}}],["green",{"_index":2930,"t":{},"b":{"19":{}}}],["grid",{"_index":1084,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"23":{}}}],["grid(resolution=10",{"_index":3621,"t":{},"b":{"24":{}}}],["grid(resolution=3",{"_index":1086,"t":{},"b":{"4":{}}}],["grlivarea",{"_index":833,"t":{},"b":{"4":{},"17":{}}}],["ground",{"_index":2368,"t":{},"b":{"14":{},"22":{}}}],["group",{"_index":78,"t":{},"b":{"0":{},"1":{},"19":{}}}],["groupbi",{"_index":468,"t":{},"b":{"1":{}}}],["groupby(df",{"_index":478,"t":{},"b":{"1":{}}}],["groupby(iri",{"_index":485,"t":{},"b":{"1":{}}}],["grow_polici",{"_index":1201,"t":{},"b":{"5":{}}}],["grown",{"_index":1679,"t":{},"b":{"7":{}}}],["gtbex3",{"_index":425,"t":{},"b":{"1":{}}}],["guid",{"_index":2835,"t":{},"b":{"18":{}}}],["gymnast",{"_index":3436,"t":{},"b":{"23":{}}}],["handl",{"_index":0,"t":{"0":{}},"b":{"0":{},"6":{}}}],["happen",{"_index":3222,"t":{},"b":{"22":{}}}],["hcat",{"_index":2625,"t":{},"b":{"17":{}}}],["hcat(x",{"_index":3136,"t":{},"b":{"21":{}}}],["hcat(x.lstat",{"_index":3147,"t":{},"b":{"21":{}}}],["header",{"_index":628,"t":{},"b":{"2":{},"6":{}}}],["header=[\"class",{"_index":1691,"t":{},"b":{"7":{}}}],["header=fals",{"_index":673,"t":{},"b":{"2":{}}}],["header=head",{"_index":656,"t":{},"b":{"2":{},"6":{}}}],["heatmap",{"_index":1386,"t":{},"b":{"5":{},"11":{}}}],["height",{"_index":1970,"t":{},"b":{"9":{}}}],["held",{"_index":1627,"t":{},"b":{"6":{}}}],["help",{"_index":442,"t":{},"b":{"1":{},"5":{},"8":{},"9":{},"18":{}}}],["helper",{"_index":730,"t":{},"b":{"3":{},"17":{}}}],["here",{"_index":102,"t":{},"b":{"0":{},"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"14":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["here'",{"_index":2554,"t":{},"b":{"17":{}}}],["hierarchi",{"_index":719,"t":{},"b":{"3":{}}}],["high",{"_index":114,"t":{},"b":{"0":{},"3":{},"7":{},"25":{}}}],["high\"])6",{"_index":117,"t":{},"b":{"0":{}}}],["higher",{"_index":3272,"t":{},"b":{"22":{},"23":{},"25":{}}}],["highlight",{"_index":2822,"t":{},"b":{"18":{}}}],["himmetoglu",{"_index":2523,"t":{},"b":{"17":{}}}],["hist(i",{"_index":3523,"t":{},"b":{"24":{}}}],["hist(r",{"_index":3131,"t":{},"b":{"21":{},"24":{}}}],["histogram",{"_index":1770,"t":{},"b":{"7":{},"21":{},"24":{}}}],["hit",{"_index":3496,"t":{},"b":{"24":{}}}],["hitter",{"_index":3490,"t":{},"b":{"24":{}}}],["hmrun",{"_index":3497,"t":{},"b":{"24":{}}}],["hold",{"_index":1233,"t":{},"b":{"5":{},"22":{}}}],["holdout",{"_index":2446,"t":{},"b":{"16":{}}}],["home",{"_index":5,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["homogen",{"_index":2025,"t":{},"b":{"10":{},"12":{}}}],["hors",{"_index":43,"t":{"6":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["horsepow",{"_index":2989,"t":{},"b":{"20":{},"23":{}}}],["horsepower=range(50",{"_index":3380,"t":{},"b":{"23":{}}}],["hospit",{"_index":1534,"t":{},"b":{"6":{}}}],["hospital_numb",{"_index":1460,"t":{},"b":{"6":{}}}],["hot",{"_index":942,"t":{},"b":{"4":{},"6":{},"9":{},"17":{},"18":{},"24":{},"25":{}}}],["hot_mach",{"_index":2745,"t":{},"b":{"17":{}}}],["hottreeclf",{"_index":3669,"t":{},"b":{"25":{}}}],["hottreeclf(hot",{"_index":3668,"t":{},"b":{"25":{}}}],["hous",{"_index":814,"t":{},"b":{"4":{},"17":{}}}],["hp",{"_index":3387,"t":{},"b":{"23":{}}}],["hp1",{"_index":3403,"t":{},"b":{"23":{}}}],["hp2",{"_index":3404,"t":{},"b":{"23":{}}}],["hp2=hp.^2",{"_index":3391,"t":{},"b":{"23":{}}}],["hp2=hpn.^2",{"_index":3425,"t":{},"b":{"23":{}}}],["hp3",{"_index":3407,"t":{},"b":{"23":{}}}],["hp3=hp.^3",{"_index":3392,"t":{},"b":{"23":{}}}],["hp3=hpn.^3",{"_index":3426,"t":{},"b":{"23":{}}}],["hpn",{"_index":3422,"t":{},"b":{"23":{}}}],["http",{"_index":1451,"t":{},"b":{"6":{},"7":{}}}],["http.get(\"https://archive.ics.uci.edu/ml/machin",{"_index":1453,"t":{},"b":{"6":{},"7":{}}}],["http.jl",{"_index":1687,"t":{},"b":{"7":{}}}],["hue",{"_index":1705,"t":{},"b":{"7":{}}}],["huge",{"_index":3305,"t":{},"b":{"22":{}}}],["hunch",{"_index":1731,"t":{},"b":{"7":{}}}],["hygein",{"_index":2790,"t":{},"b":{"17":{}}}],["hygien",{"_index":2769,"t":{},"b":{"17":{}}}],["hyperparamet",{"_index":881,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"14":{},"16":{},"17":{},"24":{}}}],["hyperparameters\"arrow",{"_index":2303,"t":{},"b":{"14":{}}}],["hyperparameterspecifi",{"_index":2430,"t":{},"b":{"16":{}}}],["i.",{"_index":73,"t":{},"b":{"0":{},"22":{}}}],["id",{"_index":413,"t":{},"b":{"1":{}}}],["idea",{"_index":2143,"t":{},"b":{"11":{},"20":{},"25":{}}}],["idx_missing_outcom",{"_index":1556,"t":{},"b":{"6":{}}}],["idxshow",{"_index":3610,"t":{},"b":{"24":{}}}],["idxsort",{"_index":2631,"t":{},"b":{"17":{}}}],["ifelse.(carseats.sal",{"_index":3664,"t":{},"b":{"25":{}}}],["ignor",{"_index":3513,"t":{},"b":{"24":{}}}],["ignorerepeated=tru",{"_index":1486,"t":{},"b":{"6":{}}}],["iid",{"_index":2970,"t":{},"b":{"20":{}}}],["illustr",{"_index":2504,"t":{},"b":{"17":{}}}],["implement",{"_index":728,"t":{},"b":{"3":{},"8":{},"13":{},"16":{},"17":{}}}],["implicit",{"_index":2043,"t":{},"b":{"10":{}}}],["implicitli",{"_index":1991,"t":{},"b":{"9":{},"10":{},"11":{}}}],["import",{"_index":691,"t":{},"b":{"3":{},"4":{},"12":{},"14":{},"17":{},"21":{},"22":{},"24":{}}}],["improv",{"_index":1660,"t":{},"b":{"6":{}}}],["imput",{"_index":1551,"t":{},"b":{"6":{},"18":{}}}],["includ",{"_index":3602,"t":{},"b":{"24":{}}}],["incom",{"_index":3637,"t":{},"b":{"25":{}}}],["increas",{"_index":2145,"t":{},"b":{"11":{},"22":{}}}],["increment",{"_index":3440,"t":{},"b":{"23":{}}}],["inde",{"_index":3280,"t":{},"b":{"22":{}}}],["index",{"_index":2976,"t":{},"b":{"20":{}}}],["indic",{"_index":361,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"8":{},"10":{},"13":{},"14":{},"16":{},"17":{},"20":{},"22":{},"23":{}}}],["individu",{"_index":946,"t":{},"b":{"4":{},"17":{}}}],["indu",{"_index":182,"t":{},"b":{"1":{},"3":{},"21":{}}}],["infer",{"_index":1884,"t":{},"b":{"8":{},"15":{},"22":{}}}],["infinit",{"_index":725,"t":{},"b":{"3":{}}}],["influenc",{"_index":3052,"t":{},"b":{"20":{}}}],["inform",{"_index":507,"t":{},"b":{"1":{},"3":{},"10":{},"13":{},"16":{},"18":{}}}],["initi",{"_index":992,"t":{},"b":{"4":{},"6":{},"7":{},"16":{}}}],["input",{"_index":879,"t":{},"b":{"4":{},"7":{},"8":{},"9":{},"14":{},"15":{},"17":{}}}],["inspect",{"_index":736,"t":{},"b":{"3":{},"5":{},"6":{},"13":{},"16":{},"17":{},"19":{},"25":{}}}],["inspir",{"_index":1140,"t":{},"b":{"5":{}}}],["instanc",{"_index":379,"t":{},"b":{"1":{},"2":{},"3":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"12":{},"14":{},"16":{},"17":{},"21":{},"22":{},"26":{}}}],["instanti",{"_index":1033,"t":{},"b":{"4":{},"10":{},"17":{},"23":{}}}],["instead",{"_index":2874,"t":{},"b":{"19":{}}}],["insur",{"_index":3157,"t":{},"b":{"22":{}}}],["int",{"_index":696,"t":{},"b":{"3":{}}}],["int64",{"_index":202,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"21":{}}}],["integ",{"_index":792,"t":{},"b":{"3":{},"7":{},"21":{},"24":{}}}],["intend",{"_index":735,"t":{},"b":{"3":{}}}],["intens",{"_index":1704,"t":{},"b":{"7":{}}}],["interact",{"_index":3133,"t":{},"b":{"21":{}}}],["intercept",{"_index":3124,"t":{},"b":{"21":{},"24":{}}}],["interest",{"_index":265,"t":{},"b":{"1":{},"16":{},"19":{},"22":{}}}],["interestingli",{"_index":1043,"t":{},"b":{"4":{},"6":{}}}],["interfac",{"_index":1901,"t":{},"b":{"8":{},"17":{},"25":{}}}],["intern",{"_index":2652,"t":{},"b":{"17":{}}}],["interpret",{"_index":680,"t":{"3":{}},"b":{"3":{},"6":{},"7":{},"8":{},"14":{},"18":{},"21":{},"22":{}}}],["interpretationmachin",{"_index":1876,"t":{},"b":{"8":{}}}],["intro",{"_index":28,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["introduc",{"_index":3173,"t":{},"b":{"22":{}}}],["introduct",{"_index":155,"t":{},"b":{"1":{},"2":{},"17":{},"18":{},"23":{}}}],["intuit",{"_index":171,"t":{},"b":{"1":{},"7":{},"22":{}}}],["invers",{"_index":947,"t":{},"b":{"4":{},"13":{},"14":{}}}],["inverse_transform",{"_index":2280,"t":{},"b":{"13":{}}}],["inverse_transform(1…03",{"_index":2366,"t":{},"b":{"14":{}}}],["inverse_transform(1…71",{"_index":2402,"t":{},"b":{"15":{}}}],["inverse_transform(box",{"_index":2363,"t":{},"b":{"14":{},"15":{}}}],["inverse_transform(stand",{"_index":2297,"t":{},"b":{"13":{}}}],["inverse_transform(z",{"_index":2382,"t":{},"b":{"14":{}}}],["invert",{"_index":991,"t":{},"b":{"4":{},"14":{}}}],["investig",{"_index":1383,"t":{},"b":{"5":{},"6":{},"22":{}}}],["invit",{"_index":1768,"t":{},"b":{"7":{}}}],["iri",{"_index":449,"t":{},"b":{"1":{},"2":{},"4":{},"8":{},"13":{}}}],["iris2",{"_index":1886,"t":{},"b":{"8":{}}}],["is_probabilistic=tru",{"_index":1620,"t":{},"b":{"6":{},"7":{},"15":{},"25":{}}}],["is_probabilistic=truemnpip",{"_index":1786,"t":{},"b":{"7":{}}}],["isl",{"_index":2824,"t":{},"b":{"18":{},"22":{},"23":{}}}],["islr",{"_index":3307,"t":{},"b":{"22":{}}}],["ismissing.(datac.outcom",{"_index":1555,"t":{},"b":{"6":{}}}],["ismissing.(i",{"_index":3515,"t":{},"b":{"24":{}}}],["it'",{"_index":751,"t":{},"b":{"3":{},"4":{},"5":{},"6":{},"7":{},"14":{},"15":{},"21":{},"24":{},"25":{}}}],["itali",{"_index":1681,"t":{},"b":{"7":{}}}],["ith",{"_index":2613,"t":{},"b":{"17":{}}}],["itself",{"_index":2239,"t":{},"b":{"13":{},"22":{}}}],["j",{"_index":3444,"t":{},"b":{"23":{}}}],["john",{"_index":713,"t":{},"b":{"3":{}}}],["joinpath",{"_index":621,"t":{},"b":{"2":{}}}],["jointli",{"_index":2049,"t":{},"b":{"10":{}}}],["judg",{"_index":2646,"t":{},"b":{"17":{}}}],["judge=judg",{"_index":2732,"t":{},"b":{"17":{}}}],["judge=linear",{"_index":2754,"t":{},"b":{"17":{}}}],["juic",{"_index":2877,"t":{},"b":{"19":{}}}],["julia",{"_index":248,"t":{},"b":{"1":{},"2":{},"4":{},"7":{},"8":{},"14":{},"18":{},"20":{},"21":{}}}],["k",{"_index":953,"t":{},"b":{"4":{},"8":{},"10":{},"17":{},"18":{},"22":{},"23":{}}}],["k_rang",{"_index":1061,"t":{},"b":{"4":{},"10":{}}}],["kdtree",{"_index":955,"t":{},"b":{"4":{},"10":{},"17":{}}}],["keep",{"_index":1450,"t":{},"b":{"6":{},"13":{}}}],["kernel",{"_index":3757,"t":{},"b":{"26":{}}}],["key",{"_index":157,"t":{},"b":{"1":{},"6":{}}}],["keyword",{"_index":1987,"t":{},"b":{"9":{},"16":{}}}],["kind",{"_index":2900,"t":{},"b":{"19":{}}}],["kind=:target",{"_index":1020,"t":{},"b":{"4":{},"15":{}}}],["kind=:target)source{:target",{"_index":969,"t":{},"b":{"4":{},"14":{},"15":{},"17":{}}}],["km",{"_index":2916,"t":{},"b":{"19":{}}}],["kmean",{"_index":2913,"t":{},"b":{"19":{}}}],["kmeans(k=3",{"_index":2917,"t":{},"b":{"19":{}}}],["knc",{"_index":1946,"t":{},"b":{"8":{}}}],["kneighborsclassifi",{"_index":1928,"t":{},"b":{"8":{}}}],["kneighborsclassifierkneighborsclassifi",{"_index":1947,"t":{},"b":{"8":{}}}],["knn",{"_index":936,"t":{"22":{}},"b":{"4":{},"7":{},"9":{},"10":{},"17":{},"18":{},"22":{}}}],["knn.k",{"_index":2545,"t":{},"b":{"17":{}}}],["knn_model",{"_index":1023,"t":{},"b":{"4":{},"10":{}}}],["knn_model.k",{"_index":1063,"t":{},"b":{"4":{}}}],["knn_model::knnregressor",{"_index":1014,"t":{},"b":{"4":{}}}],["knn_weight",{"_index":1057,"t":{},"b":{"4":{}}}],["knn_weight::float64",{"_index":1016,"t":{},"b":{"4":{}}}],["knnc",{"_index":3299,"t":{},"b":{"22":{}}}],["knnc.k",{"_index":3303,"t":{},"b":{"22":{}}}],["knnclassifi",{"_index":1779,"t":{},"b":{"7":{},"8":{},"22":{}}}],["knnclassifier(k=1",{"_index":3300,"t":{},"b":{"22":{}}}],["knnknnregressor",{"_index":2645,"t":{},"b":{"17":{}}}],["knnpipe(std=standard",{"_index":1782,"t":{},"b":{"7":{}}}],["knnregressor",{"_index":1095,"t":{},"b":{"4":{},"9":{},"10":{},"17":{}}}],["knnregressor(k=10)knnregressor",{"_index":2014,"t":{},"b":{"10":{}}}],["knnregressor(k=3",{"_index":1985,"t":{},"b":{"9":{}}}],["knnregressor(k=5",{"_index":1002,"t":{},"b":{"4":{}}}],["knnregressorknnregressor",{"_index":952,"t":{},"b":{"4":{}}}],["knnridgeblend",{"_index":1012,"t":{},"b":{"4":{}}}],["knnridgeblend(knnregressor(k=5",{"_index":1035,"t":{},"b":{"4":{}}}],["know",{"_index":1507,"t":{},"b":{"6":{},"7":{}}}],["known",{"_index":564,"t":{},"b":{"2":{},"3":{},"4":{},"17":{}}}],["krb",{"_index":1034,"t":{},"b":{"4":{}}}],["krb.knn_model.k",{"_index":1049,"t":{},"b":{"4":{}}}],["krb.knn_weight",{"_index":1048,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambda",{"_index":1051,"t":{},"b":{"4":{}}}],["krb.ridge_model.lambdakrb.knn_weight",{"_index":1050,"t":{},"b":{"4":{}}}],["krb_best",{"_index":1125,"t":{},"b":{"4":{}}}],["krb_best.knn_model.k",{"_index":1127,"t":{},"b":{"4":{}}}],["krb_best.knn_weight",{"_index":1131,"t":{},"b":{"4":{}}}],["krb_best.knn_weightkrb_best.knn_model.k",{"_index":1129,"t":{},"b":{"4":{}}}],["krb_best.ridge_model.lambda",{"_index":1128,"t":{},"b":{"4":{}}}],["l2",{"_index":1607,"t":{},"b":{"6":{},"7":{}}}],["l_rang",{"_index":1067,"t":{},"b":{"4":{}}}],["lab",{"_index":30,"t":{"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["label",{"_index":81,"t":{},"b":{"0":{},"3":{}}}],["label=\"data",{"_index":2641,"t":{},"b":{"17":{}}}],["label=\"exponenti",{"_index":3533,"t":{},"b":{"24":{}}}],["label=\"knn",{"_index":2687,"t":{},"b":{"17":{}}}],["label=\"laplac",{"_index":3560,"t":{},"b":{"24":{}}}],["label=\"linear",{"_index":2673,"t":{},"b":{"17":{}}}],["label=\"norm",{"_index":3558,"t":{},"b":{"24":{}}}],["label=\"ord",{"_index":3433,"t":{},"b":{"23":{}}}],["label=\"truth",{"_index":2638,"t":{},"b":{"17":{}}}],["label=\"yhat",{"_index":2712,"t":{},"b":{"17":{}}}],["lag1",{"_index":3166,"t":{},"b":{"22":{}}}],["lag2",{"_index":3167,"t":{},"b":{"22":{}}}],["lag3",{"_index":3168,"t":{},"b":{"22":{}}}],["lag4",{"_index":3169,"t":{},"b":{"22":{}}}],["lag5",{"_index":3170,"t":{},"b":{"22":{}}}],["lambda",{"_index":1056,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"14":{}}}],["lasso",{"_index":2826,"t":{"24":{}},"b":{"18":{},"24":{}}}],["lassoregressor",{"_index":3489,"t":{},"b":{"24":{}}}],["last",{"_index":129,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["last(test)+1:nrows(x",{"_index":3339,"t":{},"b":{"22":{}}}],["last(train",{"_index":1505,"t":{},"b":{"6":{}}}],["last(train)+1:length(i",{"_index":3268,"t":{},"b":{"22":{}}}],["later",{"_index":2323,"t":{},"b":{"14":{},"22":{}}}],["latex",{"_index":3060,"t":{},"b":{"20":{}}}],["layer",{"_index":971,"t":{},"b":{"4":{},"14":{},"15":{},"17":{}}}],["lc50",{"_index":654,"t":{},"b":{"2":{}}}],["lda",{"_index":1929,"t":{"22":{}},"b":{"8":{},"18":{},"22":{}}}],["lead",{"_index":972,"t":{},"b":{"4":{}}}],["leaf_siz",{"_index":1949,"t":{},"b":{"8":{}}}],["leafsiz",{"_index":958,"t":{},"b":{"4":{},"10":{},"17":{}}}],["leagu",{"_index":3506,"t":{},"b":{"24":{}}}],["league__a",{"_index":3604,"t":{},"b":{"24":{}}}],["league__n",{"_index":3605,"t":{},"b":{"24":{}}}],["learn",{"_index":25,"t":{"14":{},"15":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["learner",{"_index":2486,"t":{},"b":{"17":{}}}],["learning_curve!(m",{"_index":2151,"t":{},"b":{"11":{}}}],["learning_curve!(mach",{"_index":2220,"t":{},"b":{"12":{}}}],["learning_curve!(xgbm",{"_index":1245,"t":{},"b":{"5":{}}}],["leav",{"_index":2257,"t":{},"b":{"13":{},"22":{}}}],["left",{"_index":1553,"t":{},"b":{"6":{},"13":{},"23":{}}}],["legend",{"_index":2644,"t":{},"b":{"17":{}}}],["legend([\"class",{"_index":1859,"t":{},"b":{"7":{}}}],["legend([\"group",{"_index":2938,"t":{},"b":{"19":{}}}],["legend(fontsize=12",{"_index":3534,"t":{},"b":{"24":{}}}],["legend(fontsize=14",{"_index":3434,"t":{},"b":{"23":{}}}],["length",{"_index":2110,"t":{},"b":{"11":{},"17":{}}}],["length(coefs)0.2727272727272727",{"_index":3600,"t":{},"b":{"24":{}}}],["length(sch.nam",{"_index":2106,"t":{},"b":{"11":{}}}],["length(unique(datac.hospital_number))346",{"_index":1538,"t":{},"b":{"6":{}}}],["length(x",{"_index":382,"t":{},"b":{"1":{},"20":{}}}],["length(x)x",{"_index":2945,"t":{},"b":{"20":{}}}],["length=100",{"_index":3100,"t":{},"b":{"21":{},"23":{},"24":{}}}],["lesion",{"_index":1497,"t":{},"b":{"6":{}}}],["lesion_1",{"_index":1481,"t":{},"b":{"6":{}}}],["lesion_2",{"_index":1482,"t":{},"b":{"6":{}}}],["lesion_3",{"_index":1483,"t":{},"b":{"6":{}}}],["less",{"_index":2729,"t":{},"b":{"17":{}}}],["let'",{"_index":96,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["level",{"_index":82,"t":{},"b":{"0":{},"4":{},"7":{}}}],["levels!(v",{"_index":116,"t":{},"b":{"0":{}}}],["levels(i",{"_index":1169,"t":{},"b":{"5":{}}}],["levels(v)3",{"_index":83,"t":{},"b":{"0":{}}}],["lexicograph",{"_index":87,"t":{},"b":{"0":{},"22":{}}}],["lfit",{"_index":3554,"t":{},"b":{"24":{}}}],["liber",{"_index":2821,"t":{},"b":{"18":{}}}],["librari",{"_index":2966,"t":{},"b":{"20":{}}}],["lienart",{"_index":127,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["limit",{"_index":637,"t":{},"b":{"2":{},"6":{}}}],["line",{"_index":631,"t":{},"b":{"2":{},"7":{},"12":{},"17":{},"19":{},"23":{}}}],["linear",{"_index":1251,"t":{"21":{}},"b":{"5":{},"6":{},"10":{},"16":{},"17":{},"18":{},"21":{},"23":{},"24":{}}}],["linearbinaryclassifi",{"_index":1930,"t":{},"b":{"8":{}}}],["linearlinearregressor",{"_index":2647,"t":{},"b":{"17":{}}}],["linearregressor",{"_index":1955,"t":{},"b":{"8":{},"17":{},"21":{},"23":{},"24":{}}}],["linearregressor()linearregressor",{"_index":3083,"t":{},"b":{"21":{}}}],["linestyle=\"non",{"_index":1847,"t":{},"b":{"7":{}}}],["link",{"_index":51,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["linmod",{"_index":3397,"t":{},"b":{"23":{}}}],["linmod(f",{"_index":3393,"t":{},"b":{"23":{}}}],["linreg",{"_index":1959,"t":{},"b":{"8":{}}}],["list",{"_index":562,"t":{},"b":{"2":{},"3":{},"20":{}}}],["littl",{"_index":1875,"t":{},"b":{"7":{},"17":{}}}],["lm",{"_index":3373,"t":{},"b":{"23":{}}}],["load",{"_index":8,"t":{"2":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["load_am",{"_index":821,"t":{},"b":{"4":{}}}],["load_boston",{"_index":2105,"t":{},"b":{"11":{},"12":{},"17":{}}}],["load_crab",{"_index":1146,"t":{},"b":{"5":{}}}],["load_iri",{"_index":1897,"t":{},"b":{"8":{},"13":{},"16":{}}}],["load_reduced_am",{"_index":822,"t":{},"b":{"4":{},"17":{}}}],["local",{"_index":556,"t":{},"b":{"2":{}}}],["log",{"_index":943,"t":{},"b":{"4":{}}}],["log(i",{"_index":977,"t":{},"b":{"4":{}}}],["log.(y0",{"_index":2749,"t":{},"b":{"17":{}}}],["log10",{"_index":2067,"t":{},"b":{"10":{}}}],["logarithm",{"_index":2068,"t":{},"b":{"10":{}}}],["logist",{"_index":1778,"t":{"22":{}},"b":{"7":{},"22":{}}}],["logisticclassifi",{"_index":1933,"t":{},"b":{"8":{},"22":{}}}],["logisticcvclassifi",{"_index":1932,"t":{},"b":{"8":{}}}],["look",{"_index":1352,"t":{},"b":{"5":{},"6":{},"7":{},"8":{},"11":{},"18":{},"19":{},"21":{},"22":{},"24":{}}}],["loos",{"_index":59,"t":{},"b":{"0":{},"1":{}}}],["loss",{"_index":929,"t":{},"b":{"4":{},"22":{}}}],["lossfunct",{"_index":1145,"t":{},"b":{"5":{}}}],["lot",{"_index":439,"t":{},"b":{"1":{},"4":{},"6":{}}}],["lotarea",{"_index":838,"t":{},"b":{"4":{},"17":{}}}],["low",{"_index":113,"t":{},"b":{"0":{},"3":{},"11":{},"17":{}}}],["lower",{"_index":1656,"t":{},"b":{"6":{},"16":{},"17":{},"25":{}}}],["lower=0",{"_index":1372,"t":{},"b":{"5":{}}}],["lower=0.1",{"_index":1072,"t":{},"b":{"4":{},"24":{},"26":{}}}],["lower=0.4",{"_index":2166,"t":{},"b":{"11":{},"16":{}}}],["lower=0.5",{"_index":2063,"t":{},"b":{"10":{}}}],["lower=0.6",{"_index":1417,"t":{},"b":{"5":{}}}],["lower=1",{"_index":1069,"t":{},"b":{"4":{},"6":{},"10":{},"11":{},"16":{},"24":{},"25":{}}}],["lower=10",{"_index":2149,"t":{},"b":{"11":{}}}],["lower=2",{"_index":1064,"t":{},"b":{"4":{},"12":{},"25":{}}}],["lower=3",{"_index":1370,"t":{},"b":{"5":{}}}],["lower=50",{"_index":1243,"t":{},"b":{"5":{}}}],["lower=500",{"_index":3578,"t":{},"b":{"24":{}}}],["lr",{"_index":3395,"t":{},"b":{"23":{}}}],["lr1",{"_index":3398,"t":{},"b":{"23":{}}}],["lr2",{"_index":3405,"t":{},"b":{"23":{}}}],["lr3",{"_index":3408,"t":{},"b":{"23":{}}}],["lrm",{"_index":3396,"t":{},"b":{"23":{}}}],["lrm.fs.featur",{"_index":3402,"t":{},"b":{"23":{}}}],["ls=\"none",{"_index":2468,"t":{},"b":{"16":{},"17":{},"19":{},"21":{},"23":{},"24":{},"26":{}}}],["lstat",{"_index":192,"t":{},"b":{"1":{},"3":{},"21":{}}}],["lstat2",{"_index":3151,"t":{},"b":{"21":{}}}],["lstat^2",{"_index":3146,"t":{},"b":{"21":{}}}],["lw=3",{"_index":3385,"t":{},"b":{"23":{},"24":{}}}],["m",{"_index":1904,"t":{},"b":{"8":{},"9":{},"11":{},"12":{},"16":{},"19":{}}}],["m.package_nam",{"_index":1908,"t":{},"b":{"8":{}}}],["m.prediction_typ",{"_index":1906,"t":{},"b":{"8":{}}}],["m1",{"_index":2557,"t":{},"b":{"17":{}}}],["m11",{"_index":2655,"t":{},"b":{"17":{}}}],["m12",{"_index":2657,"t":{},"b":{"17":{}}}],["m13",{"_index":2658,"t":{},"b":{"17":{}}}],["m2",{"_index":2561,"t":{},"b":{"17":{}}}],["m21",{"_index":2675,"t":{},"b":{"17":{}}}],["m22",{"_index":2676,"t":{},"b":{"17":{}}}],["m23",{"_index":2677,"t":{},"b":{"17":{}}}],["m_judg",{"_index":2693,"t":{},"b":{"17":{}}}],["mach",{"_index":1037,"t":{},"b":{"4":{},"6":{},"12":{},"17":{},"21":{},"25":{}}}],["mach_uni",{"_index":3087,"t":{},"b":{"21":{}}}],["machin",{"_index":160,"t":{"26":{}},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"16":{},"17":{},"18":{},"21":{},"22":{},"25":{},"26":{}}}],["machine(atom",{"_index":2200,"t":{},"b":{"12":{}}}],["machine(bayesianlda",{"_index":3282,"t":{},"b":{"22":{}}}],["machine(bayesianqda",{"_index":3296,"t":{},"b":{"22":{}}}],["machine(box_model",{"_index":2360,"t":{},"b":{"14":{},"15":{}}}],["machine(compositemodel",{"_index":2413,"t":{},"b":{"15":{}}}],["machine(creg",{"_index":895,"t":{},"b":{"4":{}}}],["machine(decisiontreeregressor",{"_index":2131,"t":{},"b":{"11":{}}}],["machine(dtr_model",{"_index":3695,"t":{},"b":{"25":{}}}],["machine(ensemble_model",{"_index":2033,"t":{},"b":{"10":{}}}],["machine(fillimput",{"_index":1597,"t":{},"b":{"6":{}}}],["machine(forest",{"_index":2147,"t":{},"b":{"11":{}}}],["machine(judg",{"_index":2694,"t":{},"b":{"17":{}}}],["machine(knn_model",{"_index":1026,"t":{},"b":{"4":{},"10":{}}}],["machine(knnc",{"_index":3301,"t":{},"b":{"22":{}}}],["machine(knnclassifier(k=3",{"_index":3340,"t":{},"b":{"22":{}}}],["machine(knnpip",{"_index":1797,"t":{},"b":{"7":{}}}],["machine(knnregressor",{"_index":2701,"t":{},"b":{"17":{}}}],["machine(knnregressor(k=5",{"_index":979,"t":{},"b":{"4":{}}}],["machine(krb",{"_index":1038,"t":{},"b":{"4":{}}}],["machine(lda(dist=cosinedist",{"_index":3288,"t":{},"b":{"22":{}}}],["machine(linearregressor",{"_index":2661,"t":{},"b":{"17":{}}}],["machine(lm",{"_index":3375,"t":{},"b":{"23":{}}}],["machine(logisticclassifi",{"_index":3232,"t":{},"b":{"22":{}}}],["machine(lrm",{"_index":3399,"t":{},"b":{"23":{}}}],["machine(m.box_model",{"_index":2424,"t":{},"b":{"15":{}}}],["machine(mdl",{"_index":2428,"t":{},"b":{"15":{},"21":{},"25":{}}}],["machine(mnpip",{"_index":1799,"t":{},"b":{"7":{}}}],["machine(model",{"_index":3542,"t":{},"b":{"24":{}}}],["machine(model1",{"_index":2558,"t":{},"b":{"17":{}}}],["machine(model2",{"_index":2562,"t":{},"b":{"17":{}}}],["machine(one_hundred_model",{"_index":2226,"t":{},"b":{"12":{}}}],["machine(onehotencod",{"_index":975,"t":{},"b":{"4":{}}}],["machine(pca_mdl",{"_index":2863,"t":{},"b":{"19":{}}}],["machine(pcapip",{"_index":1831,"t":{},"b":{"7":{}}}],["machine(rf_mdl",{"_index":3710,"t":{},"b":{"25":{}}}],["machine(ridge_model",{"_index":1025,"t":{},"b":{"4":{},"14":{},"15":{}}}],["machine(ridgeregressor(lambda=2.5",{"_index":980,"t":{},"b":{"4":{}}}],["machine(simplepip",{"_index":1621,"t":{},"b":{"6":{}}}],["machine(spca2_mdl",{"_index":2920,"t":{},"b":{"19":{}}}],["machine(spca_mdl",{"_index":2894,"t":{},"b":{"19":{}}}],["machine(stand_model",{"_index":2283,"t":{},"b":{"13":{}}}],["machine(standard",{"_index":2340,"t":{},"b":{"14":{},"22":{}}}],["machine(std_model",{"_index":2395,"t":{},"b":{"15":{}}}],["machine(svc_mdl",{"_index":3743,"t":{},"b":{"26":{}}}],["machine(tm",{"_index":1122,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"16":{},"23":{},"24":{},"25":{},"26":{}}}],["machine(tree_model",{"_index":2241,"t":{},"b":{"13":{}}}],["machine(tuned_forest",{"_index":2177,"t":{},"b":{"11":{}}}],["machine(xgb",{"_index":1235,"t":{},"b":{"5":{}}}],["machine(xgb_mdl",{"_index":3719,"t":{},"b":{"25":{}}}],["machine(xgboostclassifi",{"_index":1668,"t":{},"b":{"6":{}}}],["machineget",{"_index":3632,"t":{},"b":{"25":{}}}],["machinemor",{"_index":1136,"t":{},"b":{"5":{}}}],["machinetrain",{"_index":2228,"t":{},"b":{"13":{}}}],["machineunsupervis",{"_index":2232,"t":{},"b":{"13":{}}}],["macro",{"_index":1979,"t":{},"b":{"9":{},"15":{},"17":{}}}],["macrodefin",{"_index":2387,"t":{},"b":{"15":{}}}],["made",{"_index":2103,"t":{},"b":{"11":{},"17":{}}}],["magnesium",{"_index":1697,"t":{},"b":{"7":{}}}],["magnesium=>continu",{"_index":1735,"t":{},"b":{"7":{}}}],["main",{"_index":2510,"t":{},"b":{"17":{}}}],["major",{"_index":2502,"t":{},"b":{"17":{}}}],["make",{"_index":406,"t":{},"b":{"1":{},"3":{},"4":{},"5":{},"11":{},"13":{},"14":{},"17":{},"18":{},"22":{}}}],["maki",{"_index":3061,"t":{},"b":{"20":{}}}],["malibu",{"_index":2999,"t":{},"b":{"20":{}}}],["malic",{"_index":1693,"t":{},"b":{"7":{}}}],["manag",{"_index":1862,"t":{},"b":{"7":{}}}],["mani",{"_index":561,"t":{},"b":{"2":{},"3":{},"6":{},"10":{},"11":{},"20":{},"21":{},"22":{}}}],["manifest.toml",{"_index":2803,"t":{},"b":{"18":{}}}],["manipul",{"_index":137,"t":{"1":{}},"b":{"1":{},"17":{},"18":{},"20":{}}}],["manual",{"_index":2383,"t":{},"b":{"14":{}}}],["mao",{"_index":408,"t":{},"b":{"1":{}}}],["mao31co2",{"_index":438,"t":{},"b":{"1":{}}}],["mao31cod",{"_index":437,"t":{},"b":{"1":{}}}],["maoa31",{"_index":434,"t":{},"b":{"1":{}}}],["maoai2",{"_index":421,"t":{},"b":{"1":{}}}],["maoavntr",{"_index":427,"t":{},"b":{"1":{}}}],["maobi2",{"_index":423,"t":{},"b":{"1":{}}}],["map",{"_index":3223,"t":{},"b":{"22":{}}}],["margin",{"_index":3748,"t":{},"b":{"26":{}}}],["maria",{"_index":714,"t":{},"b":{"3":{}}}],["mark",{"_index":3215,"t":{},"b":{"22":{}}}],["marker",{"_index":2934,"t":{},"b":{"19":{}}}],["marker=\"o",{"_index":1848,"t":{},"b":{"7":{},"16":{},"17":{},"19":{},"21":{},"23":{},"24":{},"26":{}}}],["marker=\"x",{"_index":3737,"t":{},"b":{"26":{}}}],["markersize=10",{"_index":2935,"t":{},"b":{"19":{}}}],["market",{"_index":3154,"t":{},"b":{"22":{}}}],["mask1",{"_index":2924,"t":{},"b":{"19":{}}}],["mask2",{"_index":2925,"t":{},"b":{"19":{}}}],["mask3",{"_index":2926,"t":{},"b":{"19":{}}}],["mask_1",{"_index":1841,"t":{},"b":{"7":{}}}],["mask_2",{"_index":1842,"t":{},"b":{"7":{}}}],["mask_3",{"_index":1843,"t":{},"b":{"7":{}}}],["mass",{"_index":570,"t":{},"b":{"2":{}}}],["mat",{"_index":394,"t":{},"b":{"1":{}}}],["mat[1:3",{"_index":396,"t":{},"b":{"1":{}}}],["match",{"_index":103,"t":{},"b":{"0":{},"8":{},"23":{}}}],["math",{"_index":2958,"t":{},"b":{"20":{}}}],["matplotlib",{"_index":3057,"t":{},"b":{"20":{}}}],["matrix",{"_index":253,"t":{},"b":{"1":{},"6":{},"20":{},"22":{},"23":{}}}],["max",{"_index":288,"t":{},"b":{"1":{}}}],["max)5×4",{"_index":490,"t":{},"b":{"1":{}}}],["max_bin",{"_index":1204,"t":{},"b":{"5":{}}}],["max_delta_step",{"_index":1188,"t":{},"b":{"5":{}}}],["max_depth",{"_index":1186,"t":{},"b":{"5":{},"11":{},"12":{},"13":{},"16":{},"25":{}}}],["max_depth=10",{"_index":3718,"t":{},"b":{"25":{}}}],["max_leav",{"_index":1203,"t":{},"b":{"5":{}}}],["maximum",{"_index":638,"t":{},"b":{"2":{},"5":{},"11":{},"16":{}}}],["mayb",{"_index":1665,"t":{},"b":{"6":{},"21":{}}}],["mce",{"_index":2276,"t":{},"b":{"13":{}}}],["mcr",{"_index":1633,"t":{},"b":{"6":{},"7":{}}}],["mcr_k",{"_index":1809,"t":{},"b":{"7":{}}}],["mcr_m",{"_index":1811,"t":{},"b":{"7":{}}}],["mcw",{"_index":1391,"t":{},"b":{"5":{}}}],["md",{"_index":1389,"t":{},"b":{"5":{}}}],["mdl",{"_index":2426,"t":{},"b":{"15":{},"21":{},"25":{}}}],["mean",{"_index":152,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"10":{},"11":{},"12":{},"13":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["mean([predict(m",{"_index":2209,"t":{},"b":{"12":{}}}],["mean(estimates.per_fold[1",{"_index":2047,"t":{},"b":{"10":{}}}],["mean(estimates.per_fold[1])estimates.measurement[1",{"_index":2046,"t":{},"b":{"10":{}}}],["mean(v",{"_index":2205,"t":{},"b":{"12":{}}}],["mean(w",{"_index":2290,"t":{},"b":{"13":{}}}],["mean(x",{"_index":2972,"t":{},"b":{"20":{}}}],["mean(y[test",{"_index":3342,"t":{},"b":{"22":{}}}],["mean)3×2",{"_index":510,"t":{},"b":{"1":{}}}],["mean0.6129047398190444",{"_index":1659,"t":{},"b":{"6":{}}}],["mean0.8421915405806384",{"_index":1671,"t":{},"b":{"6":{}}}],["mean23.44591836734694",{"_index":3040,"t":{},"b":{"20":{}}}],["meant",{"_index":153,"t":{},"b":{"1":{},"18":{}}}],["measur",{"_index":1107,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"13":{},"16":{},"23":{}}}],["measure=[rm",{"_index":2134,"t":{},"b":{"11":{}}}],["measure=cross_entropi",{"_index":1378,"t":{},"b":{"5":{},"6":{},"7":{}}}],["measure=cross_entropy)probabilistictunedmodel",{"_index":2445,"t":{},"b":{"16":{}}}],["measure=hingeloss())(parameter_nam",{"_index":1249,"t":{},"b":{"5":{}}}],["measure=mav",{"_index":2221,"t":{},"b":{"12":{}}}],["measure=misclassification_r",{"_index":2460,"t":{},"b":{"16":{},"25":{},"26":{}}}],["measure=rm",{"_index":1995,"t":{},"b":{"9":{},"10":{},"11":{},"15":{},"16":{},"17":{},"24":{},"25":{}}}],["measure=rms)deterministictunedmodel",{"_index":3451,"t":{},"b":{"23":{}}}],["measure=rmsl)deterministictunedmodel",{"_index":1094,"t":{},"b":{"4":{}}}],["med",{"_index":112,"t":{},"b":{"0":{}}}],["median",{"_index":289,"t":{},"b":{"1":{},"11":{},"20":{}}}],["medium",{"_index":3662,"t":{},"b":{"25":{}}}],["medv",{"_index":193,"t":{},"b":{"1":{},"3":{},"21":{},"25":{}}}],["merg",{"_index":2689,"t":{},"b":{"17":{}}}],["merge_purity_threshold",{"_index":2127,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["messi",{"_index":1449,"t":{},"b":{"6":{}}}],["meta",{"_index":2508,"t":{},"b":{"17":{}}}],["method",{"_index":1808,"t":{},"b":{"7":{},"9":{},"10":{},"13":{},"15":{},"17":{}}}],["metric",{"_index":956,"t":{},"b":{"4":{},"8":{},"10":{},"17":{},"18":{},"22":{}}}],["metric_param",{"_index":1952,"t":{},"b":{"8":{}}}],["min",{"_index":287,"t":{},"b":{"1":{}}}],["min_child_weight",{"_index":1187,"t":{},"b":{"5":{}}}],["min_purity_increas",{"_index":2124,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["min_samples_leaf",{"_index":2122,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["min_samples_leaf=1",{"_index":2546,"t":{},"b":{"17":{}}}],["min_samples_split",{"_index":2123,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["minimum",{"_index":1366,"t":{},"b":{"5":{},"11":{}}}],["minkowski",{"_index":1951,"t":{},"b":{"8":{}}}],["misclassif",{"_index":1630,"t":{},"b":{"6":{},"7":{},"16":{},"22":{},"26":{}}}],["misclassification_r",{"_index":2464,"t":{},"b":{"16":{}}}],["misclassification_rate(i",{"_index":1634,"t":{},"b":{"6":{},"22":{}}}],["misclassification_rate(mode.(i",{"_index":1662,"t":{},"b":{"6":{}}}],["misclassification_rate(predict_mode(knn",{"_index":1810,"t":{},"b":{"7":{}}}],["misclassification_rate(predict_mode(multi",{"_index":1812,"t":{},"b":{"7":{}}}],["misclassification_rate(ypr",{"_index":3670,"t":{},"b":{"25":{},"26":{}}}],["miss",{"_index":121,"t":{},"b":{"0":{},"1":{},"2":{},"6":{},"7":{},"9":{},"10":{},"11":{},"18":{},"21":{},"24":{}}}],["missclassif",{"_index":1661,"t":{},"b":{"6":{}}}],["missing_outcom",{"_index":1554,"t":{},"b":{"6":{}}}],["missingstr",{"_index":640,"t":{},"b":{"2":{},"6":{}}}],["mitchel",{"_index":849,"t":{},"b":{"4":{}}}],["mix",{"_index":878,"t":{},"b":{"4":{}}}],["ml",{"_index":2820,"t":{},"b":{"18":{}}}],["mlj",{"_index":3,"t":{"18":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["mlj'",{"_index":2513,"t":{},"b":{"17":{}}}],["mlj.corestrict(x::abstractnod",{"_index":2623,"t":{},"b":{"17":{}}}],["mlj.fit(m::compositemodel2",{"_index":2422,"t":{},"b":{"15":{}}}],["mlj.fit(model::knnridgeblend",{"_index":1018,"t":{},"b":{"4":{}}}],["mlj.jl",{"_index":2796,"t":{},"b":{"18":{}}}],["mlj.predict(clf",{"_index":3236,"t":{},"b":{"22":{}}}],["mlj.predict(dtc",{"_index":1670,"t":{},"b":{"6":{}}}],["mlj.predict(mtm",{"_index":1657,"t":{},"b":{"6":{}}}],["mlj.restrict(x::abstractnod",{"_index":2618,"t":{},"b":{"17":{}}}],["mlj.tabl",{"_index":2626,"t":{},"b":{"17":{}}}],["mlj.table(hcat(y1",{"_index":2704,"t":{},"b":{"17":{}}}],["mlj.table(hcat(y1_oo",{"_index":2692,"t":{},"b":{"17":{}}}],["mlj.table(x",{"_index":3738,"t":{},"b":{"26":{}}}],["mljbase.numericrange{mljbase.bounded,int64,symbol}[numericrang",{"_index":2451,"t":{},"b":{"16":{}}}],["mljbase.numericrange{mljbase.bounded,t,symbol",{"_index":1111,"t":{},"b":{"4":{}}}],["mljlinearmodel",{"_index":1934,"t":{},"b":{"8":{},"21":{}}}],["mljmodel",{"_index":1919,"t":{},"b":{"8":{}}}],["mljmodelinterface.predict",{"_index":1110,"t":{},"b":{"4":{},"16":{},"23":{}}}],["mljmodels.jl",{"_index":1902,"t":{},"b":{"8":{}}}],["mljscientifictyp",{"_index":738,"t":{},"b":{"3":{}}}],["mljscientifictypes.jl",{"_index":731,"t":{},"b":{"3":{}}}],["mljtutori",{"_index":3758,"t":{"27":{}},"b":{}}],["mlm",{"_index":3374,"t":{},"b":{"23":{}}}],["mlogloss",{"_index":1221,"t":{},"b":{"5":{}}}],["mlogp",{"_index":653,"t":{},"b":{"2":{}}}],["mnc",{"_index":1818,"t":{},"b":{"7":{}}}],["mnpipe(std=standard",{"_index":1784,"t":{},"b":{"7":{}}}],["mode",{"_index":2269,"t":{},"b":{"13":{},"16":{},"22":{}}}],["mode(ŷ[1])ȳ[1",{"_index":2273,"t":{},"b":{"13":{}}}],["mode(ŷ[1",{"_index":2274,"t":{},"b":{"13":{}}}],["mode.(ŷ)2",{"_index":3281,"t":{},"b":{"22":{}}}],["model",{"_index":16,"t":{"8":{},"9":{},"10":{},"11":{},"12":{},"16":{},"25":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["model):defin",{"_index":2494,"t":{},"b":{"17":{}}}],["model.knn_model",{"_index":1024,"t":{},"b":{"4":{}}}],["model.knn_weight",{"_index":1027,"t":{},"b":{"4":{}}}],["model.ridge_model",{"_index":1022,"t":{},"b":{"4":{}}}],["model1",{"_index":2555,"t":{},"b":{"17":{}}}],["model2",{"_index":2556,"t":{},"b":{"17":{}}}],["modelbabi",{"_index":811,"t":{},"b":{"4":{}}}],["modeldata",{"_index":1881,"t":{},"b":{"8":{}}}],["modeliniti",{"_index":1446,"t":{},"b":{"6":{}}}],["modelknn",{"_index":804,"t":{},"b":{"4":{}}}],["modelmodel",{"_index":1879,"t":{},"b":{"8":{}}}],["modelnam",{"_index":3072,"t":{},"b":{"21":{}}}],["models(matching(x",{"_index":1905,"t":{},"b":{"8":{}}}],["modelsplit",{"_index":2230,"t":{},"b":{"13":{}}}],["modeltri",{"_index":1445,"t":{},"b":{"6":{}}}],["modeltun",{"_index":2432,"t":{},"b":{"16":{}}}],["modifi",{"_index":130,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["more",{"_index":506,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"8":{},"10":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{}}}],["move",{"_index":2811,"t":{},"b":{"18":{}}}],["mpg",{"_index":2986,"t":{},"b":{"20":{},"23":{}}}],["mpl",{"_index":519,"t":{},"b":{"1":{}}}],["mssubclass",{"_index":840,"t":{},"b":{"4":{},"17":{}}}],["mstd",{"_index":3331,"t":{},"b":{"22":{}}}],["mtm",{"_index":1121,"t":{},"b":{"4":{},"5":{},"6":{},"23":{},"24":{},"25":{},"26":{}}}],["mtm.model.model.reg",{"_index":3576,"t":{},"b":{"24":{}}}],["mtm.model.rang",{"_index":3577,"t":{},"b":{"24":{}}}],["mtm.model.tun",{"_index":3620,"t":{},"b":{"24":{}}}],["much",{"_index":1409,"t":{},"b":{"5":{},"6":{},"7":{},"16":{},"17":{},"22":{}}}],["mucous_membran",{"_index":1466,"t":{},"b":{"6":{}}}],["multi",{"_index":1798,"t":{},"b":{"7":{}}}],["multiclass",{"_index":723,"t":{},"b":{"3":{},"6":{},"7":{},"17":{}}}],["multiclass{15",{"_index":847,"t":{},"b":{"4":{},"17":{}}}],["multiclass{2",{"_index":3643,"t":{},"b":{"25":{}}}],["multiclass{25",{"_index":846,"t":{},"b":{"4":{},"17":{}}}],["multiclass{3",{"_index":1883,"t":{},"b":{"8":{},"25":{}}}],["multinomi",{"_index":1777,"t":{},"b":{"7":{},"18":{}}}],["multinomialclassifi",{"_index":1604,"t":{},"b":{"6":{},"7":{},"8":{}}}],["multipl",{"_index":762,"t":{},"b":{"3":{},"10":{},"11":{},"20":{}}}],["multivari",{"_index":3082,"t":{},"b":{"21":{},"22":{}}}],["multivariatestat",{"_index":1915,"t":{},"b":{"8":{}}}],["murder",{"_index":2844,"t":{},"b":{"19":{}}}],["mutabl",{"_index":1010,"t":{},"b":{"4":{},"15":{}}}],["mutat",{"_index":277,"t":{},"b":{"1":{}}}],["myaveragetwo",{"_index":2553,"t":{},"b":{"17":{}}}],["myaveragetwo(regressor1=forest",{"_index":2751,"t":{},"b":{"17":{}}}],["myaveragetwo(regressor1=model1",{"_index":2573,"t":{},"b":{"17":{}}}],["mypipe(x",{"_index":1983,"t":{},"b":{"9":{}}}],["mytwomodelstack",{"_index":2498,"t":{},"b":{"17":{}}}],["mytwomodelstack(regressor1=forest",{"_index":2753,"t":{},"b":{"17":{}}}],["mytwomodelstack(regressor1=model1",{"_index":2731,"t":{},"b":{"17":{}}}],["mytwostack",{"_index":2506,"t":{},"b":{"17":{}}}],["n",{"_index":1115,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"23":{}}}],["n(0",{"_index":2971,"t":{},"b":{"20":{}}}],["n=20",{"_index":2032,"t":{},"b":{"10":{}}}],["n_job",{"_index":1953,"t":{},"b":{"8":{}}}],["n_neighbor",{"_index":1948,"t":{},"b":{"8":{}}}],["n_subfeatur",{"_index":2125,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["naiv",{"_index":2501,"t":{},"b":{"17":{}}}],["naivebay",{"_index":1924,"t":{},"b":{"8":{}}}],["name",{"_index":177,"t":{},"b":{"1":{},"2":{},"3":{},"6":{},"7":{},"8":{},"13":{},"15":{},"17":{},"20":{},"21":{},"24":{}}}],["namedtupl",{"_index":3278,"t":{},"b":{"22":{}}}],["names(auto)9",{"_index":3037,"t":{},"b":{"20":{}}}],["names(boston)14",{"_index":178,"t":{},"b":{"1":{}}}],["names(data)5",{"_index":2842,"t":{},"b":{"19":{}}}],["names(datac",{"_index":1566,"t":{},"b":{"6":{}}}],["names(hitt",{"_index":3492,"t":{},"b":{"24":{}}}],["names(smarket",{"_index":3165,"t":{},"b":{"22":{}}}],["names(smarket)size(smarket",{"_index":3163,"t":{},"b":{"22":{}}}],["names(w)6",{"_index":2897,"t":{},"b":{"19":{}}}],["names=collect(s.nam",{"_index":2741,"t":{},"b":{"17":{}}}],["nasogastric_reflux",{"_index":1472,"t":{},"b":{"6":{}}}],["nasogastric_reflux_ph",{"_index":1473,"t":{},"b":{"6":{}}}],["nasogastric_tub",{"_index":1471,"t":{},"b":{"6":{}}}],["natur",{"_index":1590,"t":{},"b":{"6":{}}}],["nb",{"_index":2142,"t":{},"b":{"11":{}}}],["ncol",{"_index":3041,"t":{},"b":{"20":{}}}],["ncol(auto",{"_index":3046,"t":{},"b":{"20":{}}}],["ncol(auto)size(auto",{"_index":3044,"t":{},"b":{"20":{}}}],["ncolumn",{"_index":2982,"t":{},"b":{"20":{}}}],["ndfit",{"_index":3552,"t":{},"b":{"24":{}}}],["ndsch",{"_index":651,"t":{},"b":{"2":{}}}],["ndssc",{"_index":652,"t":{},"b":{"2":{}}}],["nearest",{"_index":1944,"t":{},"b":{"8":{},"10":{},"22":{}}}],["nearestneighbor",{"_index":1927,"t":{},"b":{"8":{},"22":{}}}],["need",{"_index":94,"t":{},"b":{"0":{},"2":{},"3":{},"4":{},"6":{},"8":{},"11":{},"14":{},"15":{},"16":{},"17":{},"20":{},"21":{},"22":{}}}],["neg",{"_index":3217,"t":{},"b":{"22":{}}}],["neglect",{"_index":2789,"t":{},"b":{"17":{}}}],["neighbor",{"_index":2096,"t":{},"b":{"10":{},"22":{}}}],["neighborhood",{"_index":834,"t":{},"b":{"4":{},"17":{}}}],["neighbour",{"_index":1945,"t":{},"b":{"8":{},"10":{}}}],["nest",{"_index":1045,"t":{},"b":{"4":{},"10":{},"11":{},"16":{}}}],["net",{"_index":3486,"t":{},"b":{"24":{}}}],["network",{"_index":26,"t":{"14":{},"15":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["networksourc",{"_index":2301,"t":{},"b":{"14":{}}}],["never",{"_index":733,"t":{},"b":{"3":{}}}],["new",{"_index":2210,"t":{},"b":{"12":{},"15":{},"17":{},"18":{},"20":{},"21":{},"22":{},"25":{}}}],["newleagu",{"_index":3511,"t":{},"b":{"24":{}}}],["newleague_a",{"_index":3608,"t":{},"b":{"24":{}}}],["newleague_n",{"_index":3609,"t":{},"b":{"24":{}}}],["nfold",{"_index":1105,"t":{},"b":{"4":{},"17":{},"23":{}}}],["nfolds=8",{"_index":2582,"t":{},"b":{"17":{}}}],["nice",{"_index":1559,"t":{},"b":{"6":{},"10":{}}}],["nl1",{"_index":3315,"t":{},"b":{"22":{}}}],["nl2",{"_index":3318,"t":{},"b":{"22":{}}}],["nl2)#no",{"_index":3322,"t":{},"b":{"22":{}}}],["nmiss",{"_index":376,"t":{},"b":{"1":{}}}],["nmissing)19×2",{"_index":411,"t":{},"b":{"1":{}}}],["no_miss",{"_index":3514,"t":{},"b":{"24":{}}}],["node",{"_index":964,"t":{},"b":{"4":{},"12":{},"14":{},"15":{},"17":{}}}],["node((xx",{"_index":2620,"t":{},"b":{"17":{}}}],["node(mean",{"_index":2207,"t":{},"b":{"12":{}}}],["node(xx",{"_index":2609,"t":{},"b":{"17":{}}}],["nodesdefin",{"_index":2495,"t":{},"b":{"17":{}}}],["nodesmodifi",{"_index":2302,"t":{},"b":{"14":{}}}],["nominalrang",{"_index":3456,"t":{},"b":{"23":{}}}],["non",{"_index":1980,"t":{},"b":{"9":{}}}],["nonflavanoid",{"_index":1701,"t":{},"b":{"7":{}}}],["normal",{"_index":916,"t":{},"b":{"4":{},"22":{}}}],["normalize_typ",{"_index":1209,"t":{},"b":{"5":{}}}],["not(:crim",{"_index":280,"t":{},"b":{"1":{}}}],["not(:direct",{"_index":3198,"t":{},"b":{"22":{}}}],["not(:hospital_numb",{"_index":1541,"t":{},"b":{"6":{}}}],["not(:medv",{"_index":3081,"t":{},"b":{"21":{}}}],["not(:nox",{"_index":272,"t":{},"b":{"1":{}}}],["not(:stat",{"_index":2859,"t":{},"b":{"19":{}}}],["not([:sal",{"_index":3666,"t":{},"b":{"25":{}}}],["not([:year",{"_index":3231,"t":{},"b":{"22":{}}}],["not(unw",{"_index":1502,"t":{},"b":{"6":{}}}],["note",{"_index":503,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"20":{},"21":{},"22":{},"23":{},"25":{}}}],["notebook",{"_index":45,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["noth",{"_index":1099,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"16":{},"17":{},"21":{},"22":{},"23":{}}}],["now",{"_index":108,"t":{},"b":{"0":{},"1":{},"4":{},"5":{},"6":{},"7":{},"10":{},"11":{},"13":{},"14":{},"15":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["nox",{"_index":184,"t":{},"b":{"1":{},"3":{},"21":{}}}],["nrow",{"_index":2981,"t":{},"b":{"20":{}}}],["nrow(auto",{"_index":3043,"t":{},"b":{"20":{}}}],["nrows(datac",{"_index":1569,"t":{},"b":{"6":{}}}],["num_round",{"_index":1180,"t":{},"b":{"5":{}}}],["number",{"_index":174,"t":{},"b":{"1":{},"2":{},"5":{},"6":{},"8":{},"10":{},"11":{},"17":{},"20":{},"21":{},"22":{},"27":{}}}],["numer",{"_index":818,"t":{},"b":{"4":{},"9":{},"19":{}}}],["numericrang",{"_index":1077,"t":{},"b":{"4":{}}}],["nuniqu",{"_index":375,"t":{},"b":{"1":{}}}],["o",{"_index":1171,"t":{},"b":{"5":{}}}],["object",{"_index":168,"t":{},"b":{"1":{},"2":{},"5":{},"13":{},"15":{},"22":{}}}],["observ",{"_index":912,"t":{},"b":{"4":{},"6":{},"8":{}}}],["obtain",{"_index":2247,"t":{},"b":{"13":{},"17":{},"23":{},"24":{}}}],["occur",{"_index":3229,"t":{},"b":{"22":{}}}],["od280/od315",{"_index":1706,"t":{},"b":{"7":{}}}],["offer",{"_index":284,"t":{},"b":{"1":{},"2":{},"7":{},"8":{},"10":{},"18":{},"20":{},"21":{}}}],["oj",{"_index":2879,"t":{},"b":{"19":{}}}],["ok",{"_index":1515,"t":{},"b":{"6":{},"21":{},"24":{}}}],["old",{"_index":2305,"t":{},"b":{"14":{}}}],["on",{"_index":244,"t":{},"b":{"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"13":{},"15":{},"17":{},"18":{},"20":{},"21":{},"22":{},"24":{},"25":{}}}],["onc",{"_index":2442,"t":{},"b":{"16":{}}}],["one_drop",{"_index":1212,"t":{},"b":{"5":{}}}],["one_hundred_model",{"_index":2211,"t":{},"b":{"12":{}}}],["onehotencod",{"_index":1001,"t":{},"b":{"4":{},"6":{},"9":{},"24":{},"25":{}}}],["onehundredmodels(atom=atom",{"_index":2213,"t":{},"b":{"12":{}}}],["ones(10",{"_index":3729,"t":{},"b":{"26":{}}}],["ones(10))20",{"_index":3730,"t":{},"b":{"26":{}}}],["onto",{"_index":1822,"t":{},"b":{"7":{}}}],["oo",{"_index":2674,"t":{},"b":{"17":{}}}],["oper",{"_index":1109,"t":{},"b":{"4":{},"6":{},"14":{},"15":{},"16":{},"20":{},"21":{},"23":{}}}],["operation4",{"_index":2947,"t":{},"b":{"20":{}}}],["operation=predict_mod",{"_index":2458,"t":{},"b":{"16":{},"25":{}}}],["operations/transform",{"_index":2337,"t":{},"b":{"14":{}}}],["opt",{"_index":1803,"t":{},"b":{"7":{}}}],["optim",{"_index":1400,"t":{},"b":{"5":{},"16":{},"17":{}}}],["option",{"_index":2279,"t":{},"b":{"13":{},"17":{}}}],["orang",{"_index":2876,"t":{},"b":{"19":{}}}],["order",{"_index":88,"t":{},"b":{"0":{},"3":{},"6":{},"7":{},"8":{},"9":{},"15":{},"16":{},"17":{},"18":{},"21":{},"22":{},"23":{}}}],["ordered=tru",{"_index":91,"t":{},"b":{"0":{}}}],["ordered_factor",{"_index":1651,"t":{},"b":{"6":{}}}],["orderedfactor",{"_index":724,"t":{},"b":{"3":{},"7":{},"8":{},"22":{}}}],["orderedfactor{10",{"_index":845,"t":{},"b":{"4":{},"17":{}}}],["orderedfactor{2",{"_index":799,"t":{},"b":{"3":{},"6":{}}}],["orderedfactor{22",{"_index":1889,"t":{},"b":{"8":{}}}],["orderedfactor{24",{"_index":1527,"t":{},"b":{"6":{}}}],["orderedfactor{26",{"_index":797,"t":{},"b":{"3":{}}}],["orderedfactor{3",{"_index":1525,"t":{},"b":{"6":{}}}],["orderedfactor{4",{"_index":1523,"t":{},"b":{"6":{}}}],["orderedfactor{46",{"_index":801,"t":{},"b":{"3":{}}}],["orderedfactor{5",{"_index":1526,"t":{},"b":{"6":{}}}],["orderedfactor{6",{"_index":1524,"t":{},"b":{"6":{}}}],["orderedfactor{9",{"_index":800,"t":{},"b":{"3":{}}}],["ordinari",{"_index":2699,"t":{},"b":{"17":{}}}],["origin",{"_index":486,"t":{},"b":{"1":{},"3":{},"16":{},"18":{},"20":{}}}],["otherwis",{"_index":1031,"t":{},"b":{"4":{},"7":{},"8":{},"13":{},"18":{},"22":{}}}],["ourselv",{"_index":647,"t":{},"b":{"2":{}}}],["out",{"_index":1628,"t":{},"b":{"6":{},"7":{},"11":{},"13":{},"15":{},"17":{},"24":{}}}],["out_of_bag_measur",{"_index":2059,"t":{},"b":{"10":{},"11":{},"16":{}}}],["outcom",{"_index":893,"t":{},"b":{"4":{},"6":{}}}],["output",{"_index":913,"t":{},"b":{"4":{},"8":{},"13":{},"15":{},"17":{},"22":{}}}],["outsid",{"_index":1938,"t":{},"b":{"8":{}}}],["over",{"_index":1058,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"10":{},"11":{},"23":{}}}],["overallqu",{"_index":832,"t":{},"b":{"4":{},"17":{}}}],["overfit",{"_index":1172,"t":{},"b":{"5":{},"25":{}}}],["overload",{"_index":2203,"t":{},"b":{"12":{},"17":{}}}],["overview",{"_index":285,"t":{},"b":{"1":{}}}],["p",{"_index":1950,"t":{},"b":{"8":{},"11":{}}}],["packag",{"_index":559,"t":{},"b":{"2":{},"3":{},"7":{},"8":{},"10":{},"18":{},"20":{},"21":{},"22":{},"25":{}}}],["packed_cell_volum",{"_index":1476,"t":{},"b":{"6":{}}}],["page",{"_index":563,"t":{},"b":{"2":{},"18":{}}}],["pain",{"_index":1468,"t":{},"b":{"6":{}}}],["pair",{"_index":378,"t":{},"b":{"1":{},"3":{},"8":{},"10":{}}}],["pairwis",{"_index":3199,"t":{},"b":{"22":{}}}],["panda",{"_index":148,"t":{},"b":{"1":{}}}],["paper",{"_index":2518,"t":{},"b":{"17":{}}}],["param",{"_index":1053,"t":{},"b":{"4":{},"16":{}}}],["paramet",{"_index":1017,"t":{},"b":{"4":{},"5":{},"7":{},"9":{},"10":{},"12":{},"13":{},"14":{},"16":{},"21":{},"22":{},"24":{},"25":{}}}],["parameter_scal",{"_index":1250,"t":{},"b":{"5":{}}}],["parameter_valu",{"_index":1252,"t":{},"b":{"5":{}}}],["params(ensemble_model",{"_index":2056,"t":{},"b":{"10":{}}}],["params(forest",{"_index":2161,"t":{},"b":{"11":{},"16":{}}}],["params(krb",{"_index":1054,"t":{},"b":{"4":{}}}],["parent",{"_index":505,"t":{},"b":{"1":{}}}],["pars",{"_index":639,"t":{},"b":{"2":{}}}],["part",{"_index":569,"t":{},"b":{"2":{},"14":{},"22":{},"23":{}}}],["partial",{"_index":2827,"t":{},"b":{"18":{}}}],["particular",{"_index":583,"t":{},"b":{"2":{},"3":{}}}],["particularli",{"_index":158,"t":{},"b":{"1":{},"4":{}}}],["partit",{"_index":2246,"t":{},"b":{"13":{}}}],["partition(1:nrows(data",{"_index":2602,"t":{},"b":{"17":{}}}],["partition(eachindex(i",{"_index":900,"t":{},"b":{"4":{},"5":{},"10":{},"13":{},"14":{},"15":{},"23":{},"24":{},"25":{}}}],["partition(eachindex(yc",{"_index":1790,"t":{},"b":{"7":{}}}],["pass",{"_index":360,"t":{},"b":{"1":{},"2":{},"6":{}}}],["path",{"_index":586,"t":{},"b":{"2":{},"21":{}}}],["pca",{"_index":1825,"t":{"19":{}},"b":{"7":{},"18":{},"19":{}}}],["pca'd",{"_index":2864,"t":{},"b":{"19":{}}}],["pca(maxoutdim=2",{"_index":1834,"t":{},"b":{"7":{}}}],["pca(pratio=1",{"_index":2862,"t":{},"b":{"19":{}}}],["pca(rows=train",{"_index":1835,"t":{},"b":{"7":{}}}],["pca_mdl",{"_index":2861,"t":{},"b":{"19":{}}}],["pcapipe(std=standard",{"_index":1829,"t":{},"b":{"7":{}}}],["pctdiscch",{"_index":2888,"t":{},"b":{"19":{}}}],["pctdiscmm",{"_index":2887,"t":{},"b":{"19":{}}}],["pdf.(edfit",{"_index":3531,"t":{},"b":{"24":{}}}],["pdf.(lfit",{"_index":3559,"t":{},"b":{"24":{}}}],["pdf.(ndfit",{"_index":3556,"t":{},"b":{"24":{}}}],["pdf_smooth",{"_index":2235,"t":{},"b":{"13":{},"16":{},"25":{}}}],["penalize_intercept",{"_index":1609,"t":{},"b":{"6":{},"7":{}}}],["penalti",{"_index":1606,"t":{},"b":{"6":{},"7":{},"24":{},"26":{}}}],["per",{"_index":388,"t":{},"b":{"1":{},"6":{}}}],["per_fold",{"_index":1997,"t":{},"b":{"9":{},"10":{},"11":{}}}],["per_observ",{"_index":1998,"t":{},"b":{"9":{},"10":{},"11":{}}}],["percent",{"_index":1642,"t":{},"b":{"6":{}}}],["percentil",{"_index":373,"t":{},"b":{"1":{}}}],["perf_k",{"_index":1868,"t":{},"b":{"7":{}}}],["perf_m",{"_index":1869,"t":{},"b":{"7":{}}}],["perfectli",{"_index":3672,"t":{},"b":{"25":{}}}],["perform",{"_index":933,"t":{},"b":{"4":{},"7":{},"11":{},"14":{},"17":{},"23":{},"26":{}}}],["peripheral_puls",{"_index":1465,"t":{},"b":{"6":{}}}],["peristalsi",{"_index":1469,"t":{},"b":{"6":{}}}],["permut",{"_index":2951,"t":{},"b":{"20":{}}}],["permutedims(reshape([1",{"_index":2952,"t":{},"b":{"20":{}}}],["permutedims2×2",{"_index":2955,"t":{},"b":{"20":{}}}],["petalength",{"_index":514,"t":{},"b":{"1":{}}}],["petallength",{"_index":455,"t":{},"b":{"1":{},"8":{}}}],["petallength_mean",{"_index":511,"t":{},"b":{"1":{}}}],["petallength_std",{"_index":532,"t":{},"b":{"1":{}}}],["petalwidth",{"_index":456,"t":{},"b":{"1":{},"8":{}}}],["petalwidth_std",{"_index":533,"t":{},"b":{"1":{}}}],["pgfplot",{"_index":3059,"t":{},"b":{"20":{}}}],["pgfplotsx.jl",{"_index":3058,"t":{},"b":{"20":{}}}],["phenol",{"_index":1699,"t":{},"b":{"7":{}}}],["pipe",{"_index":1982,"t":{},"b":{"9":{},"24":{}}}],["pipe.hot.drop_last",{"_index":1990,"t":{},"b":{"9":{}}}],["pipe.knn.k",{"_index":1989,"t":{},"b":{"9":{}}}],["pipe.model.reg",{"_index":3563,"t":{},"b":{"24":{}}}],["pipelin",{"_index":1616,"t":{},"b":{"6":{},"7":{},"9":{},"14":{},"18":{},"19":{},"22":{},"23":{},"24":{},"25":{}}}],["pipelinebaselinebas",{"_index":3482,"t":{},"b":{"24":{}}}],["pipelineclusteringget",{"_index":2840,"t":{},"b":{"19":{}}}],["pipelineelast",{"_index":3485,"t":{},"b":{"24":{}}}],["pipelinegener",{"_index":1964,"t":{},"b":{"9":{}}}],["pipelineget",{"_index":3487,"t":{},"b":{"24":{}}}],["pipelinemor",{"_index":2838,"t":{},"b":{"19":{}}}],["pkg",{"_index":2805,"t":{},"b":{"18":{},"20":{},"21":{}}}],["pkg.activ",{"_index":2806,"t":{},"b":{"18":{}}}],["pkg.add(\"mljlinearmodel",{"_index":3076,"t":{},"b":{"21":{}}}],["pkg.add(\"statsbas",{"_index":2967,"t":{},"b":{"20":{}}}],["pkg.instanti",{"_index":2807,"t":{},"b":{"18":{}}}],["pkg=\"glm\"linearregressor",{"_index":1960,"t":{},"b":{"8":{}}}],["pkg=\"mljlinearmodel",{"_index":1781,"t":{},"b":{"7":{}}}],["pkg=\"mljlinearmodels\"multinomialclassifi",{"_index":1605,"t":{},"b":{"6":{}}}],["pkg=\"multivariatestat",{"_index":951,"t":{},"b":{"4":{}}}],["pkg=\"nearestneighbor",{"_index":1780,"t":{},"b":{"7":{}}}],["pkg=\"thepackag",{"_index":1958,"t":{},"b":{"8":{}}}],["pkg=cluster",{"_index":2914,"t":{},"b":{"19":{}}}],["pkg=decisiontre",{"_index":2548,"t":{},"b":{"17":{},"25":{}}}],["pkg=libsvm",{"_index":3741,"t":{},"b":{"26":{}}}],["pkg=mljlinearmodel",{"_index":2542,"t":{},"b":{"17":{},"22":{},"24":{}}}],["pkg=mljlinearmodelslinearregressor",{"_index":3074,"t":{},"b":{"21":{},"23":{}}}],["pkg=multivariatestat",{"_index":2306,"t":{},"b":{"14":{},"15":{},"17":{},"19":{},"22":{}}}],["pkg=nearestneighbor",{"_index":3298,"t":{},"b":{"22":{}}}],["pkg=packagenam",{"_index":3073,"t":{},"b":{"21":{}}}],["pkg=scikitlearn",{"_index":3707,"t":{},"b":{"25":{}}}],["pkg=scikitlearnbayesianqda",{"_index":3291,"t":{},"b":{"22":{}}}],["place",{"_index":278,"t":{},"b":{"1":{}}}],["play",{"_index":2648,"t":{},"b":{"17":{},"19":{}}}],["pleas",{"_index":2801,"t":{},"b":{"18":{}}}],["plot",{"_index":1385,"t":{},"b":{"5":{},"11":{},"16":{},"17":{},"20":{}}}],["plot(1:length(c",{"_index":2911,"t":{},"b":{"19":{}}}],["plot(curve.parameter_valu",{"_index":1354,"t":{},"b":{"5":{},"12":{}}}],["plot(curves.parameter_valu",{"_index":2152,"t":{},"b":{"11":{}}}],["plot(fpr",{"_index":3356,"t":{},"b":{"22":{}}}],["plot(i",{"_index":3519,"t":{},"b":{"24":{}}}],["plot(mpg",{"_index":3064,"t":{},"b":{"20":{}}}],["plot(res.parameter_valu",{"_index":2467,"t":{},"b":{"16":{}}}],["plot(w[m",{"_index":2932,"t":{},"b":{"19":{}}}],["plot(x",{"_index":2640,"t":{},"b":{"17":{}}}],["plot(x.horsepow",{"_index":3368,"t":{},"b":{"23":{}}}],["plot(x.lstat",{"_index":3097,"t":{},"b":{"21":{}}}],["plot(x.volum",{"_index":3211,"t":{},"b":{"22":{}}}],["plot(x1[mask_1",{"_index":1845,"t":{},"b":{"7":{}}}],["plot(x1[mask_2",{"_index":1850,"t":{},"b":{"7":{}}}],["plot(x1[mask_3",{"_index":1853,"t":{},"b":{"7":{}}}],["plot(x[ym1",{"_index":3733,"t":{},"b":{"26":{}}}],["plot(x[ym2",{"_index":3735,"t":{},"b":{"26":{}}}],["plot(xnew.lstat",{"_index":3101,"t":{},"b":{"21":{}}}],["plot(xx",{"_index":3532,"t":{},"b":{"24":{}}}],["plot(xx.horsepow",{"_index":3384,"t":{},"b":{"23":{}}}],["plots.jl",{"_index":3049,"t":{},"b":{"20":{}}}],["plymouth",{"_index":3011,"t":{},"b":{"20":{}}}],["point",{"_index":706,"t":{},"b":{"3":{},"6":{},"7":{},"13":{},"14":{},"20":{},"21":{},"26":{}}}],["pointless",{"_index":1865,"t":{},"b":{"7":{}}}],["poli",{"_index":3400,"t":{},"b":{"23":{}}}],["polynomi",{"_index":3366,"t":{},"b":{"23":{}}}],["popul",{"_index":3639,"t":{},"b":{"25":{}}}],["posit",{"_index":3216,"t":{},"b":{"22":{}}}],["possibl",{"_index":716,"t":{},"b":{"3":{},"22":{}}}],["post",{"_index":1141,"t":{},"b":{"5":{},"17":{}}}],["post_prun",{"_index":2126,"t":{},"b":{"11":{},"12":{},"13":{},"16":{},"25":{}}}],["power",{"_index":579,"t":{},"b":{"2":{},"23":{}}}],["pprint(atom",{"_index":2057,"t":{},"b":{"10":{},"11":{},"16":{}}}],["pprint(knn_model",{"_index":1055,"t":{},"b":{"4":{}}}],["pprint(measur",{"_index":1996,"t":{},"b":{"9":{},"10":{},"11":{}}}],["pprint(tre",{"_index":2256,"t":{},"b":{"13":{}}}],["pprint[\"b",{"_index":1170,"t":{},"b":{"5":{}}}],["pprint[distributions.normal{float64}(μ=179454.34347399411",{"_index":909,"t":{},"b":{"4":{}}}],["pprint[univariatefinite(down=>0.521",{"_index":3274,"t":{},"b":{"22":{}}}],["pprintdict(\"b",{"_index":1227,"t":{},"b":{"5":{}}}],["pprintsize(hitt",{"_index":3493,"t":{},"b":{"24":{}}}],["pr",{"_index":2799,"t":{},"b":{"18":{}}}],["practic",{"_index":2770,"t":{},"b":{"17":{}}}],["pre",{"_index":785,"t":{},"b":{"3":{},"6":{},"17":{}}}],["precis",{"_index":1730,"t":{},"b":{"7":{},"22":{}}}],["precision(i",{"_index":3258,"t":{},"b":{"22":{}}}],["pred",{"_index":1040,"t":{},"b":{"4":{}}}],["predict",{"_index":18,"t":{"13":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["predict(1…19",{"_index":2708,"t":{},"b":{"17":{}}}],["predict(1…92",{"_index":985,"t":{},"b":{"4":{}}}],["predict(3…17",{"_index":2399,"t":{},"b":{"15":{}}}],["predict(5…71",{"_index":2367,"t":{},"b":{"14":{}}}],["predict(8…74",{"_index":2710,"t":{},"b":{"17":{}}}],["predict(cmach",{"_index":906,"t":{},"b":{"4":{}}}],["predict(dtr",{"_index":3697,"t":{},"b":{"25":{}}}],["predict(knn",{"_index":982,"t":{},"b":{"4":{},"10":{}}}],["predict(lr1",{"_index":3428,"t":{},"b":{"23":{}}}],["predict(lr2",{"_index":3430,"t":{},"b":{"23":{}}}],["predict(lr3",{"_index":3432,"t":{},"b":{"23":{}}}],["predict(m",{"_index":2189,"t":{},"b":{"11":{}}}],["predict(m1",{"_index":2560,"t":{},"b":{"17":{}}}],["predict(m11",{"_index":2665,"t":{},"b":{"17":{}}}],["predict(m12",{"_index":2667,"t":{},"b":{"17":{}}}],["predict(m13",{"_index":2669,"t":{},"b":{"17":{}}}],["predict(m2",{"_index":2564,"t":{},"b":{"17":{}}}],["predict(m21",{"_index":2679,"t":{},"b":{"17":{}}}],["predict(m22",{"_index":2681,"t":{},"b":{"17":{}}}],["predict(m23",{"_index":2683,"t":{},"b":{"17":{}}}],["predict(m_judg",{"_index":2705,"t":{},"b":{"17":{}}}],["predict(mach",{"_index":1041,"t":{},"b":{"4":{},"21":{}}}],["predict(mach_uni",{"_index":3102,"t":{},"b":{"21":{}}}],["predict(machine(m.ridge_model",{"_index":2425,"t":{},"b":{"15":{}}}],["predict(mlm",{"_index":3383,"t":{},"b":{"23":{}}}],["predict(mtm",{"_index":1132,"t":{},"b":{"4":{},"23":{},"24":{},"25":{},"26":{}}}],["predict(pip",{"_index":3544,"t":{},"b":{"24":{}}}],["predict(rf",{"_index":3712,"t":{},"b":{"25":{}}}],["predict(ridg",{"_index":981,"t":{},"b":{"4":{},"14":{},"15":{}}}],["predict(svc",{"_index":3745,"t":{},"b":{"26":{}}}],["predict(tre",{"_index":2264,"t":{},"b":{"13":{}}}],["predict(tuned_ensembl",{"_index":2097,"t":{},"b":{"10":{}}}],["predict(xgb",{"_index":3721,"t":{},"b":{"25":{}}}],["predict_mean",{"_index":922,"t":{},"b":{"4":{}}}],["predict_mean(cmach",{"_index":925,"t":{},"b":{"4":{}}}],["predict_mod",{"_index":2270,"t":{},"b":{"13":{},"22":{}}}],["predict_mode(clf",{"_index":3245,"t":{},"b":{"22":{}}}],["predict_mode(mach",{"_index":1632,"t":{},"b":{"6":{},"25":{}}}],["predict_mode(mtm",{"_index":1436,"t":{},"b":{"5":{},"25":{}}}],["predict_mode(tre",{"_index":2271,"t":{},"b":{"13":{}}}],["predictionexport",{"_index":2496,"t":{},"b":{"17":{}}}],["predictionsstack",{"_index":2490,"t":{},"b":{"17":{}}}],["predictionswarm",{"_index":2487,"t":{},"b":{"17":{}}}],["predictor",{"_index":1206,"t":{},"b":{"5":{}}}],["preds)0.117305990205669",{"_index":1133,"t":{},"b":{"4":{}}}],["preds)0.12278602255214813",{"_index":1042,"t":{},"b":{"4":{}}}],["preliminari",{"_index":1999,"t":{},"b":{"10":{},"13":{},"14":{},"15":{}}}],["prelimsrandom",{"_index":2098,"t":{},"b":{"11":{}}}],["prepar",{"_index":2322,"t":{},"b":{"14":{},"24":{}}}],["preparationridg",{"_index":3481,"t":{},"b":{"24":{}}}],["present",{"_index":789,"t":{},"b":{"3":{},"10":{},"18":{}}}],["pretti",{"_index":1230,"t":{},"b":{"5":{},"7":{},"8":{},"14":{},"17":{},"22":{},"24":{},"25":{}}}],["prettyprint",{"_index":823,"t":{},"b":{"4":{},"5":{},"9":{},"10":{},"11":{},"13":{},"16":{},"22":{},"24":{},"25":{},"26":{}}}],["prettysize(x",{"_index":830,"t":{},"b":{"4":{},"5":{}}}],["prevent",{"_index":2530,"t":{},"b":{"17":{}}}],["previou",{"_index":2102,"t":{},"b":{"11":{},"15":{}}}],["price",{"_index":815,"t":{},"b":{"4":{},"17":{},"19":{},"25":{}}}],["pricech",{"_index":2880,"t":{},"b":{"19":{}}}],["pricediff",{"_index":2886,"t":{},"b":{"19":{}}}],["pricemm",{"_index":2881,"t":{},"b":{"19":{}}}],["primari",{"_index":2832,"t":{},"b":{"18":{}}}],["primer",{"_index":2943,"t":{},"b":{"20":{}}}],["print_performance(avg",{"_index":2592,"t":{},"b":{"17":{}}}],["print_performance(best_stack",{"_index":2791,"t":{},"b":{"17":{}}}],["print_performance(knn",{"_index":2591,"t":{},"b":{"17":{}}}],["print_performance(linear",{"_index":2590,"t":{},"b":{"17":{}}}],["print_performance(model",{"_index":2579,"t":{},"b":{"17":{}}}],["println",{"_index":1721,"t":{},"b":{"7":{},"21":{}}}],["println(\"#$(vals[1",{"_index":3320,"t":{},"b":{"22":{}}}],["println(\"#$(vals[2",{"_index":3321,"t":{},"b":{"22":{}}}],["println(\"\\n",{"_index":2588,"t":{},"b":{"17":{}}}],["println(rpad",{"_index":1720,"t":{},"b":{"7":{},"21":{}}}],["println(rpad(\"$nam",{"_index":1519,"t":{},"b":{"6":{},"7":{},"21":{}}}],["println(rpad(\"intercept",{"_index":3114,"t":{},"b":{"21":{}}}],["println(rpad(\"knn",{"_index":1813,"t":{},"b":{"7":{}}}],["println(rpad(\"mnc",{"_index":1635,"t":{},"b":{"6":{},"7":{}}}],["println(rpad(m.nam",{"_index":1907,"t":{},"b":{"8":{}}}],["println(rpad(nam",{"_index":1570,"t":{},"b":{"6":{}}}],["prior",{"_index":3283,"t":{},"b":{"22":{}}}],["proanthcyanin",{"_index":1702,"t":{},"b":{"7":{}}}],["probabilist",{"_index":914,"t":{},"b":{"4":{},"8":{},"13":{},"15":{},"16":{},"22":{}}}],["probabilisticsgdclassifi",{"_index":1935,"t":{},"b":{"8":{}}}],["probabl",{"_index":1535,"t":{},"b":{"6":{},"7":{},"18":{}}}],["problem",{"_index":877,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"22":{}}}],["procedur",{"_index":1421,"t":{},"b":{"5":{},"17":{}}}],["process",{"_index":544,"t":{"2":{}},"b":{"2":{},"6":{},"7":{},"10":{},"17":{},"18":{}}}],["process_typ",{"_index":1200,"t":{},"b":{"5":{}}}],["processingget",{"_index":1440,"t":{},"b":{"6":{},"7":{}}}],["produc",{"_index":2829,"t":{},"b":{"18":{}}}],["product",{"_index":3140,"t":{},"b":{"21":{}}}],["program",{"_index":2808,"t":{},"b":{"18":{}}}],["project",{"_index":1821,"t":{},"b":{"7":{}}}],["project.toml",{"_index":2802,"t":{},"b":{"18":{}}}],["prolin",{"_index":1708,"t":{},"b":{"7":{}}}],["proline=>continu",{"_index":1734,"t":{},"b":{"7":{}}}],["proline]5",{"_index":1724,"t":{},"b":{"7":{}}}],["prone",{"_index":3336,"t":{},"b":{"22":{}}}],["proof",{"_index":2776,"t":{},"b":{"17":{}}}],["proper",{"_index":2600,"t":{},"b":{"17":{}}}],["properhelp",{"_index":2491,"t":{},"b":{"17":{}}}],["properli",{"_index":119,"t":{},"b":{"0":{}}}],["proport",{"_index":3284,"t":{},"b":{"22":{}}}],["protocol",{"_index":2516,"t":{},"b":{"17":{}}}],["provid",{"_index":560,"t":{},"b":{"2":{},"3":{},"17":{},"18":{},"21":{}}}],["ptratio",{"_index":190,"t":{},"b":{"1":{},"3":{},"21":{}}}],["puls",{"_index":1462,"t":{},"b":{"6":{}}}],["purchas",{"_index":3310,"t":{},"b":{"22":{}}}],["purpos",{"_index":2511,"t":{},"b":{"17":{}}}],["putout",{"_index":3508,"t":{},"b":{"24":{}}}],["pyplot",{"_index":1144,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"12":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"26":{}}}],["pyplot.jl",{"_index":3056,"t":{},"b":{"20":{}}}],["q25",{"_index":368,"t":{},"b":{"1":{}}}],["q75",{"_index":369,"t":{},"b":{"1":{}}}],["qda",{"_index":2825,"t":{"22":{}},"b":{"18":{},"22":{}}}],["qualiti",{"_index":931,"t":{},"b":{"4":{}}}],["quantiti",{"_index":1684,"t":{},"b":{"7":{}}}],["quartil",{"_index":2114,"t":{},"b":{"11":{}}}],["quick",{"_index":1736,"t":{},"b":{"7":{},"18":{}}}],["quit",{"_index":1546,"t":{},"b":{"6":{},"7":{},"17":{},"22":{},"23":{},"24":{}}}],["r",{"_index":567,"t":{},"b":{"2":{},"5":{},"10":{},"11":{},"12":{},"16":{},"17":{},"18":{},"19":{},"23":{},"24":{}}}],["r.best_result(measur",{"_index":2463,"t":{},"b":{"16":{}}}],["r.measur",{"_index":2086,"t":{},"b":{"10":{}}}],["r.plot",{"_index":1388,"t":{},"b":{"5":{},"10":{},"11":{},"16":{}}}],["r.tvar)4",{"_index":2869,"t":{},"b":{"19":{}}}],["r.tvar)6",{"_index":2903,"t":{},"b":{"19":{}}}],["r1",{"_index":1369,"t":{},"b":{"5":{},"16":{}}}],["r2",{"_index":1371,"t":{},"b":{"5":{},"16":{}}}],["r3",{"_index":3174,"t":{},"b":{"22":{}}}],["r3(pi)3.14",{"_index":3176,"t":{},"b":{"22":{}}}],["r30.059",{"_index":3343,"t":{},"b":{"22":{}}}],["r30.479",{"_index":3246,"t":{},"b":{"22":{}}}],["r30.484",{"_index":3269,"t":{},"b":{"22":{}}}],["r30.5",{"_index":3302,"t":{},"b":{"22":{}}}],["r30.532",{"_index":3304,"t":{},"b":{"22":{}}}],["r30.548",{"_index":3289,"t":{},"b":{"22":{}}}],["r30.56",{"_index":3271,"t":{},"b":{"22":{}}}],["r30.599",{"_index":3297,"t":{},"b":{"22":{}}}],["r30.691",{"_index":3244,"t":{},"b":{"22":{}}}],["r30.925",{"_index":3341,"t":{},"b":{"22":{}}}],["r30.934",{"_index":3344,"t":{},"b":{"22":{}}}],["r31.0",{"_index":3335,"t":{},"b":{"22":{}}}],["r3false_positive(cm",{"_index":3261,"t":{},"b":{"22":{}}}],["r_bf",{"_index":2165,"t":{},"b":{"11":{}}}],["r_depth",{"_index":3700,"t":{},"b":{"25":{}}}],["r_mpi",{"_index":3678,"t":{},"b":{"25":{}}}],["r_msl",{"_index":3681,"t":{},"b":{"25":{}}}],["r_sf",{"_index":2162,"t":{},"b":{"11":{}}}],["rad",{"_index":188,"t":{},"b":{"1":{},"3":{},"21":{}}}],["rand(300",{"_index":2007,"t":{},"b":{"10":{},"14":{},"15":{}}}],["randn(100",{"_index":2478,"t":{},"b":{"16":{}}}],["randn(1_000",{"_index":2968,"t":{},"b":{"20":{}}}],["randn(20",{"_index":3728,"t":{},"b":{"26":{}}}],["random",{"_index":1143,"t":{},"b":{"5":{},"10":{},"11":{},"12":{},"14":{},"15":{},"17":{},"19":{},"25":{}}}],["random._global_rng",{"_index":1103,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"23":{}}}],["random.se",{"_index":2539,"t":{},"b":{"17":{}}}],["random.seed!(1515",{"_index":2889,"t":{},"b":{"19":{}}}],["random.seed!(3203",{"_index":3727,"t":{},"b":{"26":{}}}],["random.seed!(5",{"_index":2146,"t":{},"b":{"11":{},"14":{},"15":{}}}],["randomfals",{"_index":3725,"t":{},"b":{"26":{}}}],["randomforest",{"_index":3706,"t":{},"b":{"25":{}}}],["randomforestclassifi",{"_index":1936,"t":{},"b":{"8":{}}}],["randomforestregressor",{"_index":2547,"t":{},"b":{"17":{},"25":{}}}],["rang",{"_index":256,"t":{},"b":{"1":{},"4":{},"10":{},"11":{},"16":{},"20":{},"23":{},"24":{}}}],["range(atom",{"_index":2218,"t":{},"b":{"12":{}}}],["range(dtc",{"_index":2437,"t":{},"b":{"16":{}}}],["range(dtr_model",{"_index":3701,"t":{},"b":{"25":{}}}],["range(ensemble_model",{"_index":2062,"t":{},"b":{"10":{}}}],["range(forest",{"_index":2148,"t":{},"b":{"11":{},"16":{}}}],["range(krb",{"_index":1062,"t":{},"b":{"4":{}}}],["range(lrm",{"_index":3446,"t":{},"b":{"23":{}}}],["range(mdl",{"_index":3679,"t":{},"b":{"25":{}}}],["range(minimum(i",{"_index":3529,"t":{},"b":{"24":{}}}],["range(model",{"_index":1644,"t":{},"b":{"6":{},"24":{}}}],["range(one_hundred_model",{"_index":2224,"t":{},"b":{"12":{}}}],["range(stack",{"_index":2778,"t":{},"b":{"17":{}}}],["range(svc_mdl",{"_index":3751,"t":{},"b":{"26":{}}}],["range(xgb",{"_index":1242,"t":{},"b":{"5":{}}}],["range=r",{"_index":1247,"t":{},"b":{"5":{},"11":{},"12":{}}}],["ranges=[b_rang",{"_index":2075,"t":{},"b":{"10":{}}}],["ranges=[r",{"_index":2444,"t":{},"b":{"16":{}}}],["ranges=[r1",{"_index":2483,"t":{},"b":{"16":{}}}],["ranges=[r1,r2",{"_index":1377,"t":{},"b":{"5":{}}}],["ranges=[r_depth",{"_index":3703,"t":{},"b":{"25":{}}}],["ranges=[r_mpi",{"_index":3685,"t":{},"b":{"25":{}}}],["ranges=[r_sf",{"_index":2176,"t":{},"b":{"11":{}}}],["ranges=[rc",{"_index":3754,"t":{},"b":{"26":{}}}],["ranges=lambda",{"_index":1647,"t":{},"b":{"6":{}}}],["ranges=r",{"_index":2459,"t":{},"b":{"16":{},"17":{},"23":{},"24":{}}}],["ranges=rang",{"_index":1093,"t":{},"b":{"4":{}}}],["rape",{"_index":2847,"t":{},"b":{"19":{}}}],["rate",{"_index":1537,"t":{},"b":{"6":{},"7":{},"16":{},"22":{}}}],["rate_drop",{"_index":1211,"t":{},"b":{"5":{}}}],["ratio_miss",{"_index":1567,"t":{},"b":{"6":{}}}],["raw",{"_index":46,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["rbi",{"_index":3498,"t":{},"b":{"24":{}}}],["rc",{"_index":3750,"t":{},"b":{"26":{}}}],["rdataset",{"_index":166,"t":{},"b":{"1":{},"2":{},"3":{},"8":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["rdatasets.jl",{"_index":555,"t":{},"b":{"2":{}}}],["rdatasetsus",{"_index":545,"t":{},"b":{"2":{}}}],["re",{"_index":115,"t":{},"b":{"0":{},"3":{},"5":{},"6":{},"7":{},"10":{},"11":{},"14":{},"15":{},"16":{},"17":{},"21":{},"22":{},"23":{},"24":{}}}],["reach",{"_index":1664,"t":{},"b":{"6":{}}}],["read",{"_index":580,"t":{},"b":{"2":{},"6":{}}}],["reader",{"_index":2537,"t":{},"b":{"17":{}}}],["readi",{"_index":2688,"t":{},"b":{"17":{}}}],["readili",{"_index":2775,"t":{},"b":{"17":{}}}],["real",{"_index":294,"t":{},"b":{"1":{},"16":{}}}],["realli",{"_index":1030,"t":{},"b":{"4":{},"25":{}}}],["reason",{"_index":1448,"t":{},"b":{"6":{},"24":{}}}],["recal",{"_index":2698,"t":{},"b":{"17":{},"22":{}}}],["recall(i",{"_index":3259,"t":{},"b":{"22":{}}}],["recod",{"_index":3693,"t":{},"b":{"25":{}}}],["recommend",{"_index":2815,"t":{},"b":{"18":{},"22":{}}}],["recov",{"_index":920,"t":{},"b":{"4":{},"16":{},"19":{},"22":{}}}],["rectal_temperatur",{"_index":1461,"t":{},"b":{"6":{}}}],["red",{"_index":2929,"t":{},"b":{"19":{}}}],["reduc",{"_index":813,"t":{},"b":{"4":{},"17":{}}}],["refer",{"_index":699,"t":{},"b":{"3":{},"14":{},"18":{}}}],["reflect",{"_index":1060,"t":{},"b":{"4":{}}}],["refresh_leaf",{"_index":1199,"t":{},"b":{"5":{}}}],["reg",{"_index":3540,"t":{},"b":{"24":{}}}],["reg.gamma",{"_index":3618,"t":{},"b":{"24":{}}}],["reg.lambda",{"_index":3566,"t":{},"b":{"24":{}}}],["reg_param",{"_index":3292,"t":{},"b":{"22":{}}}],["region",{"_index":1680,"t":{},"b":{"7":{}}}],["regpip",{"_index":3541,"t":{},"b":{"24":{}}}],["regpipe(std",{"_index":3539,"t":{},"b":{"24":{}}}],["regress",{"_index":876,"t":{"21":{},"22":{},"24":{}},"b":{"4":{},"7":{},"8":{},"9":{},"10":{},"14":{},"16":{},"18":{},"21":{},"22":{},"23":{},"24":{}}}],["regressioninteract",{"_index":3065,"t":{},"b":{"21":{}}}],["regressionk",{"_index":3361,"t":{},"b":{"23":{}}}],["regressionldaqdaknncaravan",{"_index":3156,"t":{},"b":{"22":{}}}],["regressor",{"_index":941,"t":{},"b":{"4":{},"9":{},"11":{},"14":{},"16":{},"17":{},"23":{},"24":{},"25":{}}}],["regressor1",{"_index":2576,"t":{},"b":{"17":{}}}],["regressor2",{"_index":2577,"t":{},"b":{"17":{}}}],["regressor2.lambda",{"_index":2779,"t":{},"b":{"17":{}}}],["regressor2=model2",{"_index":2574,"t":{},"b":{"17":{}}}],["regressor2=ridg",{"_index":2752,"t":{},"b":{"17":{}}}],["regressorrandom",{"_index":3630,"t":{},"b":{"25":{}}}],["regular",{"_index":2217,"t":{},"b":{"12":{}}}],["regularis",{"_index":1654,"t":{},"b":{"6":{},"14":{},"22":{}}}],["reinterpret",{"_index":772,"t":{},"b":{"3":{}}}],["rel",{"_index":1512,"t":{},"b":{"6":{}}}],["relat",{"_index":729,"t":{},"b":{"3":{},"18":{}}}],["relev",{"_index":2005,"t":{},"b":{"10":{},"14":{},"18":{},"20":{},"21":{}}}],["remain",{"_index":1081,"t":{},"b":{"4":{},"7":{}}}],["rememb",{"_index":405,"t":{},"b":{"1":{},"4":{},"13":{},"14":{}}}],["remov",{"_index":1560,"t":{},"b":{"6":{},"18":{}}}],["rename!(x2",{"_index":3141,"t":{},"b":{"21":{}}}],["reorder",{"_index":959,"t":{},"b":{"4":{},"10":{},"17":{}}}],["rep",{"_index":3461,"t":{},"b":{"23":{}}}],["rep.plot",{"_index":3462,"t":{},"b":{"23":{}}}],["repeat",{"_index":1114,"t":{},"b":{"4":{},"16":{},"17":{},"23":{}}}],["report",{"_index":1384,"t":{},"b":{"5":{},"7":{},"10":{},"11":{},"16":{}}}],["report(m",{"_index":2181,"t":{},"b":{"11":{},"16":{}}}],["report(mtm",{"_index":1387,"t":{},"b":{"5":{},"23":{}}}],["report(pca",{"_index":2867,"t":{},"b":{"19":{}}}],["report(spca).reports[1",{"_index":2901,"t":{},"b":{"19":{}}}],["report(spca2).reports[1].assign",{"_index":2923,"t":{},"b":{"19":{}}}],["report(tuned_ensembl",{"_index":2085,"t":{},"b":{"10":{}}}],["repres",{"_index":77,"t":{},"b":{"0":{},"6":{},"17":{}}}],["reproduc",{"_index":2078,"t":{},"b":{"10":{},"11":{},"14":{},"15":{},"18":{},"22":{},"23":{}}}],["req",{"_index":1688,"t":{},"b":{"7":{}}}],["req1",{"_index":1452,"t":{},"b":{"6":{}}}],["req2",{"_index":1457,"t":{},"b":{"6":{}}}],["requir",{"_index":389,"t":{},"b":{"1":{}}}],["res.measur",{"_index":1394,"t":{},"b":{"5":{},"10":{},"11":{},"16":{}}}],["res.parameter_valu",{"_index":2088,"t":{},"b":{"10":{},"11":{},"16":{}}}],["res.parameter_values[:,1",{"_index":1390,"t":{},"b":{"5":{}}}],["res.parameter_values[:,2",{"_index":1392,"t":{},"b":{"5":{}}}],["resampl",{"_index":1087,"t":{},"b":{"4":{},"16":{},"17":{},"23":{}}}],["resampling=cv",{"_index":1406,"t":{},"b":{"5":{},"10":{}}}],["resampling=cv(nfolds=10",{"_index":3450,"t":{},"b":{"23":{}}}],["resampling=cv(nfolds=3",{"_index":1246,"t":{},"b":{"5":{},"24":{},"26":{}}}],["resampling=cv(nfolds=5",{"_index":3686,"t":{},"b":{"25":{}}}],["resampling=cv(nfolds=6",{"_index":2174,"t":{},"b":{"11":{},"16":{}}}],["resampling=cv(nfolds=9",{"_index":2222,"t":{},"b":{"12":{}}}],["resampling=cv(rng=11",{"_index":1376,"t":{},"b":{"5":{}}}],["resampling=cv(rng=1234",{"_index":2581,"t":{},"b":{"17":{}}}],["resampling=cv(rng=234",{"_index":1419,"t":{},"b":{"5":{}}}],["resampling=holdout",{"_index":1994,"t":{},"b":{"9":{},"17":{}}}],["resampling=holdout(fraction_train=0.7",{"_index":2023,"t":{},"b":{"10":{}}}],["resampling=holdout(fraction_train=0.8",{"_index":2073,"t":{},"b":{"10":{},"11":{},"15":{}}}],["resampling=holdout(fraction_train=0.9",{"_index":1623,"t":{},"b":{"6":{},"7":{}}}],["resampling=resampl",{"_index":1092,"t":{},"b":{"4":{}}}],["reshape([1",{"_index":2950,"t":{},"b":{"20":{}}}],["reshape([1,2,3,4",{"_index":2954,"t":{},"b":{"20":{}}}],["residu",{"_index":3129,"t":{},"b":{"21":{},"24":{}}}],["resolut",{"_index":1100,"t":{},"b":{"4":{},"11":{},"16":{},"23":{}}}],["resolution=30",{"_index":1407,"t":{},"b":{"5":{}}}],["resolution=50",{"_index":1248,"t":{},"b":{"5":{}}}],["respect",{"_index":370,"t":{},"b":{"1":{},"4":{},"8":{},"23":{}}}],["respiratori",{"_index":1536,"t":{},"b":{"6":{}}}],["respiratory_r",{"_index":1463,"t":{},"b":{"6":{}}}],["rest",{"_index":1533,"t":{},"b":{"6":{},"16":{},"22":{}}}],["restrict",{"_index":2612,"t":{},"b":{"17":{}}}],["restrict(x",{"_index":2611,"t":{},"b":{"17":{}}}],["restrict(xx",{"_index":2622,"t":{},"b":{"17":{}}}],["result",{"_index":518,"t":{},"b":{"1":{},"4":{},"7":{},"10":{},"13":{},"14":{},"17":{},"20":{},"21":{},"23":{},"27":{}}}],["resultspreliminari",{"_index":2004,"t":{},"b":{"10":{}}}],["retrain",{"_index":2372,"t":{},"b":{"14":{},"22":{}}}],["retriev",{"_index":80,"t":{},"b":{"0":{},"4":{},"5":{},"20":{},"21":{},"22":{}}}],["return",{"_index":86,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"15":{}}}],["rf",{"_index":3709,"t":{},"b":{"25":{}}}],["rf_mdl",{"_index":3708,"t":{},"b":{"25":{}}}],["ridg",{"_index":805,"t":{"24":{}},"b":{"4":{},"14":{},"15":{},"17":{},"18":{},"24":{}}}],["ridge.lambda",{"_index":2543,"t":{},"b":{"17":{}}}],["ridge=ridge_model",{"_index":2407,"t":{},"b":{"15":{}}}],["ridge_model",{"_index":1021,"t":{},"b":{"4":{},"14":{},"15":{}}}],["ridge_model.lambda",{"_index":1068,"t":{},"b":{"4":{},"14":{}}}],["ridge_model::ridgeregressor",{"_index":1015,"t":{},"b":{"4":{},"15":{}}}],["ridgeclassifi",{"_index":2410,"t":{},"b":{"15":{}}}],["ridgecross",{"_index":3483,"t":{},"b":{"24":{}}}],["ridgeregressor",{"_index":950,"t":{},"b":{"4":{},"14":{},"15":{},"17":{},"24":{}}}],["ridgeregressor(lambda=0.1",{"_index":2362,"t":{},"b":{"14":{},"15":{}}}],["ridgeregressor(lambda=2.5",{"_index":1003,"t":{},"b":{"4":{}}}],["right",{"_index":49,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["rm",{"_index":185,"t":{},"b":{"1":{},"3":{},"9":{},"10":{},"11":{},"14":{},"16":{},"21":{},"23":{}}}],["rms(0.5*y1",{"_index":2720,"t":{},"b":{"17":{}}}],["rms(i",{"_index":2020,"t":{},"b":{"10":{},"11":{}}}],["rms(predict(lr",{"_index":3413,"t":{},"b":{"23":{}}}],["rms(predict(mlm",{"_index":3377,"t":{},"b":{"23":{}}}],["rms(y1",{"_index":2716,"t":{},"b":{"17":{}}}],["rms(y2",{"_index":2718,"t":{},"b":{"17":{}}}],["rms(y[test",{"_index":2370,"t":{},"b":{"14":{}}}],["rms(yhat",{"_index":2723,"t":{},"b":{"17":{}}}],["rmsl",{"_index":1108,"t":{},"b":{"4":{}}}],["rmsl(i",{"_index":934,"t":{},"b":{"4":{}}}],["rmsl(y[test",{"_index":998,"t":{},"b":{"4":{}}}],["rmslp1",{"_index":2135,"t":{},"b":{"11":{}}}],["rng",{"_index":1102,"t":{},"b":{"4":{},"10":{},"11":{},"16":{},"23":{}}}],["rng=111",{"_index":1792,"t":{},"b":{"7":{}}}],["rng=112",{"_index":3687,"t":{},"b":{"25":{}}}],["rng=1254",{"_index":3704,"t":{},"b":{"25":{}}}],["rng=32",{"_index":2175,"t":{},"b":{"11":{}}}],["rng=33",{"_index":3755,"t":{},"b":{"26":{}}}],["rng=333",{"_index":3676,"t":{},"b":{"25":{}}}],["rng=4141",{"_index":3570,"t":{},"b":{"24":{}}}],["rng=42",{"_index":2074,"t":{},"b":{"10":{}}}],["rng=424",{"_index":3518,"t":{},"b":{"24":{}}}],["rng=444",{"_index":3365,"t":{},"b":{"23":{}}}],["rng=52",{"_index":1176,"t":{},"b":{"5":{}}}],["rng=551",{"_index":3692,"t":{},"b":{"25":{}}}],["roc",{"_index":3345,"t":{},"b":{"22":{}}}],["roc(i",{"_index":3355,"t":{},"b":{"22":{}}}],["root",{"_index":3125,"t":{},"b":{"21":{},"23":{}}}],["rotation=45",{"_index":3614,"t":{},"b":{"24":{}}}],["rough",{"_index":1548,"t":{},"b":{"6":{},"11":{},"20":{}}}],["round",{"_index":1239,"t":{},"b":{"5":{},"11":{}}}],["round(accuracy(i",{"_index":1437,"t":{},"b":{"5":{}}}],["round(best_mdl.reg.gamma",{"_index":3623,"t":{},"b":{"24":{}}}],["round(best_mdl.reg.lambda",{"_index":3572,"t":{},"b":{"24":{}}}],["round(e.measurement[1",{"_index":2583,"t":{},"b":{"17":{}}}],["round(fp.coefs[i",{"_index":3113,"t":{},"b":{"21":{}}}],["round(fp.intercept",{"_index":3093,"t":{},"b":{"21":{}}}],["round(maximum(curve.measur",{"_index":1412,"t":{},"b":{"5":{}}}],["round(mc",{"_index":2277,"t":{},"b":{"13":{}}}],["round(mcr",{"_index":1636,"t":{},"b":{"6":{}}}],["round(mcr_k",{"_index":1814,"t":{},"b":{"7":{}}}],["round(mcr_m",{"_index":1815,"t":{},"b":{"7":{}}}],["round(minimum(curve.measur",{"_index":1410,"t":{},"b":{"5":{}}}],["round(perf_k",{"_index":1870,"t":{},"b":{"7":{}}}],["round(perf_m",{"_index":1871,"t":{},"b":{"7":{}}}],["round(ratio_miss",{"_index":1571,"t":{},"b":{"6":{}}}],["round(res.measurement[1",{"_index":1624,"t":{},"b":{"6":{},"7":{},"15":{}}}],["round(rms(i",{"_index":3127,"t":{},"b":{"21":{},"24":{}}}],["round(rms(ypr",{"_index":3698,"t":{},"b":{"25":{}}}],["round(std(e.per_fold[1])/sqrt(8",{"_index":2586,"t":{},"b":{"17":{}}}],["round(x",{"_index":3175,"t":{},"b":{"22":{}}}],["round.(cm",{"_index":3202,"t":{},"b":{"22":{}}}],["round.(coef",{"_index":3584,"t":{},"b":{"24":{}}}],["round.(fp.coef",{"_index":3092,"t":{},"b":{"21":{}}}],["round.(fp.coefs[1:3",{"_index":3105,"t":{},"b":{"21":{}}}],["round.(res.measurements.^2",{"_index":3463,"t":{},"b":{"23":{}}}],["round.(w",{"_index":2288,"t":{},"b":{"13":{}}}],["routin",{"_index":2515,"t":{},"b":{"17":{}}}],["row",{"_index":197,"t":{},"b":{"1":{},"2":{},"6":{},"7":{},"13":{},"14":{},"17":{},"19":{},"20":{},"21":{},"22":{}}}],["rows/column",{"_index":257,"t":{},"b":{"1":{}}}],["rows=test",{"_index":907,"t":{},"b":{"4":{},"5":{},"10":{},"13":{},"22":{},"23":{},"24":{},"25":{}}}],["rows=train",{"_index":905,"t":{},"b":{"4":{},"10":{},"14":{},"22":{},"23":{},"24":{},"25":{}}}],["rows=train)machine{decisiontreeclassifi",{"_index":2253,"t":{},"b":{"13":{}}}],["rows=train)machine{linmod",{"_index":3410,"t":{},"b":{"23":{}}}],["rows=train)machine{probabilistictunedmodel",{"_index":1379,"t":{},"b":{"5":{}}}],["rule",{"_index":782,"t":{},"b":{"3":{},"6":{}}}],["rules=(:discrete_to_continu",{"_index":1544,"t":{},"b":{"6":{},"24":{},"25":{}}}],["run",{"_index":472,"t":{},"b":{"1":{},"24":{}}}],["rw",{"_index":1151,"t":{},"b":{"5":{}}}],["s",{"_index":2739,"t":{},"b":{"17":{}}}],["s1",{"_index":774,"t":{},"b":{"3":{}}}],["s2",{"_index":775,"t":{},"b":{"3":{}}}],["sake",{"_index":1629,"t":{},"b":{"6":{}}}],["salari",{"_index":3510,"t":{},"b":{"24":{}}}],["sale",{"_index":3635,"t":{},"b":{"25":{}}}],["salepricech",{"_index":2885,"t":{},"b":{"19":{}}}],["salepricemm",{"_index":2884,"t":{},"b":{"19":{}}}],["same",{"_index":918,"t":{},"b":{"4":{},"5":{},"7":{},"8":{},"10":{},"12":{},"16":{},"17":{},"20":{},"22":{},"24":{},"25":{}}}],["sampl",{"_index":1427,"t":{},"b":{"5":{},"11":{},"16":{},"17":{}}}],["sample.predict",{"_index":2534,"t":{},"b":{"17":{}}}],["sample_typ",{"_index":1208,"t":{},"b":{"5":{}}}],["satellit",{"_index":3012,"t":{},"b":{"20":{}}}],["save",{"_index":52,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["scale",{"_index":2066,"t":{},"b":{"10":{},"16":{}}}],["scale=:log",{"_index":2219,"t":{},"b":{"12":{},"17":{}}}],["scale=:log10",{"_index":1066,"t":{},"b":{"4":{},"6":{},"24":{}}}],["scale_pos_weight",{"_index":1197,"t":{},"b":{"5":{}}}],["sch",{"_index":739,"t":{},"b":{"3":{},"6":{},"7":{},"11":{}}}],["sch.nrow",{"_index":2107,"t":{},"b":{"11":{}}}],["sch.scityp",{"_index":1518,"t":{},"b":{"6":{},"7":{}}}],["schema",{"_index":737,"t":{},"b":{"3":{}}}],["schema(boston)_.t",{"_index":740,"t":{},"b":{"3":{}}}],["schema(boston3)_.t",{"_index":795,"t":{},"b":{"3":{}}}],["schema(data)_.t",{"_index":776,"t":{},"b":{"3":{}}}],["schema(data2)_.t",{"_index":779,"t":{},"b":{"3":{}}}],["schema(datac",{"_index":1516,"t":{},"b":{"6":{}}}],["schema(w).names(:x1",{"_index":2865,"t":{},"b":{"19":{}}}],["schema(x",{"_index":1719,"t":{},"b":{"7":{},"11":{}}}],["schema(x0",{"_index":2740,"t":{},"b":{"17":{}}}],["scienc",{"_index":2831,"t":{},"b":{"18":{}}}],["scientif",{"_index":11,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["scientifictyp",{"_index":1510,"t":{},"b":{"6":{}}}],["scientifictypes.jl",{"_index":717,"t":{},"b":{"3":{},"6":{}}}],["scikitlearn",{"_index":1910,"t":{},"b":{"8":{},"21":{},"22":{}}}],["scikitlearn.jl",{"_index":1957,"t":{},"b":{"8":{}}}],["scityp",{"_index":701,"t":{},"b":{"3":{},"6":{},"7":{},"17":{}}}],["scitype(",{"_index":754,"t":{},"b":{"3":{}}}],["scitype(x)table{abstractarray{continuous,1",{"_index":2748,"t":{},"b":{"17":{}}}],["scitype(x)table{union{abstractarray{continuous,1",{"_index":1717,"t":{},"b":{"7":{},"25":{}}}],["scitype(x.age)abstractarray{count,1",{"_index":1976,"t":{},"b":{"9":{}}}],["scitype(xc)table{union{abstractarray{continuous,1",{"_index":3536,"t":{},"b":{"24":{}}}],["scitype(y)abstractarray{count,1",{"_index":1713,"t":{},"b":{"7":{}}}],["scitype(y)y[1:3",{"_index":871,"t":{},"b":{"4":{}}}],["scitypechang",{"_index":685,"t":{},"b":{"3":{}}}],["scitypes=collect(s.scityp",{"_index":2742,"t":{},"b":{"17":{}}}],["scitypestr",{"_index":686,"t":{},"b":{"3":{}}}],["score",{"_index":1864,"t":{},"b":{"7":{},"13":{},"22":{}}}],["scratch",{"_index":2416,"t":{},"b":{"15":{}}}],["scratchpreliminari",{"_index":2388,"t":{},"b":{"15":{}}}],["script",{"_index":47,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["search",{"_index":1898,"t":{"27":{}},"b":{"8":{},"11":{},"16":{},"27":{}}}],["searchload",{"_index":1880,"t":{},"b":{"8":{}}}],["second",{"_index":978,"t":{},"b":{"4":{},"8":{},"13":{},"14":{},"15":{},"19":{},"22":{},"23":{}}}],["section",{"_index":3079,"t":{},"b":{"21":{}}}],["see",{"_index":97,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"16":{},"17":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["seed",{"_index":1222,"t":{},"b":{"5":{},"10":{},"23":{}}}],["seed!(1234)mersennetwister(uint32[0x000004d2",{"_index":2540,"t":{},"b":{"17":{}}}],["seem",{"_index":1774,"t":{},"b":{"7":{},"11":{},"18":{},"19":{},"22":{},"24":{}}}],["seen",{"_index":2330,"t":{},"b":{"14":{},"17":{}}}],["select",{"_index":262,"t":{},"b":{"1":{},"10":{},"23":{},"24":{}}}],["select!(b1",{"_index":279,"t":{},"b":{"1":{}}}],["select!(data",{"_index":1501,"t":{},"b":{"6":{}}}],["select!(datac",{"_index":1540,"t":{},"b":{"6":{}}}],["select(boston",{"_index":267,"t":{},"b":{"1":{},"3":{}}}],["select(carseat",{"_index":3665,"t":{},"b":{"25":{}}}],["select(data",{"_index":2858,"t":{},"b":{"19":{},"21":{}}}],["select(smarket",{"_index":3197,"t":{},"b":{"22":{}}}],["select(x",{"_index":3086,"t":{},"b":{"21":{},"22":{},"23":{}}}],["select(x2",{"_index":3270,"t":{},"b":{"22":{}}}],["selectrows(xc",{"_index":1793,"t":{},"b":{"7":{}}}],["selectrows(yc",{"_index":1795,"t":{},"b":{"7":{}}}],["self",{"_index":366,"t":{},"b":{"1":{}}}],["sens",{"_index":1009,"t":{},"b":{"4":{},"5":{}}}],["sensibl",{"_index":1601,"t":{},"b":{"6":{},"7":{}}}],["sepallength",{"_index":453,"t":{},"b":{"1":{},"8":{}}}],["sepallength_std",{"_index":530,"t":{},"b":{"1":{}}}],["sepalwidth",{"_index":454,"t":{},"b":{"1":{},"8":{}}}],["sepalwidth_std",{"_index":531,"t":{},"b":{"1":{}}}],["separ",{"_index":643,"t":{},"b":{"2":{},"6":{},"7":{},"17":{}}}],["sequenc",{"_index":2404,"t":{},"b":{"15":{},"18":{}}}],["sequenti",{"_index":2774,"t":{},"b":{"17":{}}}],["seri",{"_index":3439,"t":{},"b":{"23":{}}}],["serv",{"_index":2238,"t":{},"b":{"13":{},"21":{}}}],["set",{"_index":577,"t":{},"b":{"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"13":{},"17":{},"19":{},"21":{},"23":{}}}],["setdiff!(test",{"_index":1564,"t":{},"b":{"6":{}}}],["setdiff!(train",{"_index":1562,"t":{},"b":{"6":{}}}],["setosa",{"_index":462,"t":{},"b":{"1":{},"8":{},"13":{}}}],["sever",{"_index":480,"t":{},"b":{"1":{},"8":{},"11":{},"21":{}}}],["shelveloc",{"_index":3640,"t":{},"b":{"25":{}}}],["short",{"_index":550,"t":{},"b":{"2":{},"5":{},"11":{},"18":{}}}],["shorten",{"_index":1776,"t":{},"b":{"7":{}}}],["shorter",{"_index":447,"t":{},"b":{"1":{},"14":{}}}],["shorthand",{"_index":1894,"t":{},"b":{"8":{}}}],["shot",{"_index":763,"t":{},"b":{"3":{}}}],["show",{"_index":827,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"11":{},"13":{},"15":{},"17":{},"18":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["showcas",{"_index":1592,"t":{},"b":{"6":{}}}],["shuffl",{"_index":1101,"t":{},"b":{"4":{},"16":{},"23":{}}}],["shuffle=tru",{"_index":902,"t":{},"b":{"4":{},"5":{},"7":{},"13":{},"23":{},"24":{},"25":{}}}],["sigdigit",{"_index":1414,"t":{},"b":{"5":{},"21":{},"24":{}}}],["sigdigits=1)8×8",{"_index":3203,"t":{},"b":{"22":{}}}],["sigdigits=2)22",{"_index":3585,"t":{},"b":{"24":{}}}],["sigdigits=3",{"_index":1411,"t":{},"b":{"5":{},"6":{},"7":{},"21":{},"22":{}}}],["sigdigits=3))knn",{"_index":1816,"t":{},"b":{"7":{}}}],["sigdigits=3))mnc",{"_index":1637,"t":{},"b":{"6":{}}}],["sigdigits=3)0.0141",{"_index":1807,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0159",{"_index":1805,"t":{},"b":{"7":{}}}],["sigdigits=3)0.0179",{"_index":2415,"t":{},"b":{"15":{}}}],["sigdigits=3)0.704",{"_index":1625,"t":{},"b":{"6":{}}}],["sigdigits=3)3.74",{"_index":3713,"t":{},"b":{"25":{}}}],["sigdigits=3)3.96",{"_index":3722,"t":{},"b":{"25":{}}}],["sigdigits=3)4.98",{"_index":3699,"t":{},"b":{"25":{}}}],["sigdigits=3)5.09",{"_index":3705,"t":{},"b":{"25":{}}}],["sigdigits=3)round(minimum(curve.measur",{"_index":1413,"t":{},"b":{"5":{}}}],["sigdigits=3)round.(fp.coef",{"_index":3094,"t":{},"b":{"21":{}}}],["sigdigits=3)round.(fp.coefs[1:3",{"_index":3106,"t":{},"b":{"21":{}}}],["sigdigits=4",{"_index":3622,"t":{},"b":{"24":{}}}],["sigdigits=4)10.0",{"_index":3573,"t":{},"b":{"24":{}}}],["sigdigits=4)102500.0",{"_index":3626,"t":{},"b":{"24":{}}}],["sigdigits=4)109600.0",{"_index":3564,"t":{},"b":{"24":{}}}],["sigdigits=4)123500.0",{"_index":3545,"t":{},"b":{"24":{}}}],["sigdigits=4)4.676",{"_index":3143,"t":{},"b":{"21":{}}}],["sigdigits=4)4.679",{"_index":3128,"t":{},"b":{"21":{}}}],["sigdigits=4)5.507",{"_index":3149,"t":{},"b":{"21":{}}}],["sigdigits=4)858.6",{"_index":3579,"t":{},"b":{"24":{}}}],["sigdigits=4)93850.0",{"_index":3574,"t":{},"b":{"24":{}}}],["sigdigits=4)95450.0",{"_index":3580,"t":{},"b":{"24":{}}}],["sigdigits=4)round(best_mdl.reg.lambda",{"_index":3624,"t":{},"b":{"24":{}}}],["sigdigits=5",{"_index":2584,"t":{},"b":{"17":{}}}],["signific",{"_index":2714,"t":{},"b":{"17":{},"22":{}}}],["significantli",{"_index":1674,"t":{},"b":{"6":{}}}],["similar",{"_index":3103,"t":{},"b":{"21":{},"22":{}}}],["similarli",{"_index":260,"t":{},"b":{"1":{}}}],["simpl",{"_index":165,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"12":{},"14":{},"15":{},"16":{},"17":{},"18":{},"20":{},"21":{},"22":{},"23":{},"24":{}}}],["simplepip",{"_index":1643,"t":{},"b":{"6":{}}}],["simplepipe(hot",{"_index":1618,"t":{},"b":{"6":{}}}],["simpler",{"_index":2391,"t":{},"b":{"15":{}}}],["simpli",{"_index":2339,"t":{},"b":{"14":{}}}],["simplifi",{"_index":1496,"t":{},"b":{"6":{}}}],["simultan",{"_index":2052,"t":{},"b":{"10":{},"11":{},"12":{},"17":{}}}],["singl",{"_index":2129,"t":{},"b":{"11":{},"12":{},"16":{},"17":{},"21":{}}}],["six",{"_index":817,"t":{},"b":{"4":{}}}],["size",{"_index":2980,"t":{},"b":{"20":{}}}],["size(auto",{"_index":3042,"t":{},"b":{"20":{}}}],["size(caravan)(5822",{"_index":3308,"t":{},"b":{"22":{}}}],["size(data_test",{"_index":1495,"t":{},"b":{"6":{}}}],["size(data_test)size(data_train",{"_index":1492,"t":{},"b":{"6":{}}}],["size(data_train",{"_index":1491,"t":{},"b":{"6":{}}}],["size(hitt",{"_index":3491,"t":{},"b":{"24":{}}}],["size(smarket",{"_index":3162,"t":{},"b":{"22":{}}}],["size(x",{"_index":828,"t":{},"b":{"4":{},"5":{}}}],["size(x)(3",{"_index":2983,"t":{},"b":{"20":{}}}],["sketch_ep",{"_index":1195,"t":{},"b":{"5":{}}}],["skew",{"_index":3522,"t":{},"b":{"24":{}}}],["skip",{"_index":635,"t":{},"b":{"2":{}}}],["skip_drop",{"_index":1213,"t":{},"b":{"5":{}}}],["skipmiss",{"_index":441,"t":{},"b":{"1":{}}}],["skipto",{"_index":634,"t":{},"b":{"2":{}}}],["skylark",{"_index":3005,"t":{},"b":{"20":{}}}],["slightli",{"_index":3144,"t":{},"b":{"21":{}}}],["slow",{"_index":574,"t":{},"b":{"2":{}}}],["sm1_dz",{"_index":649,"t":{},"b":{"2":{}}}],["small",{"_index":1434,"t":{},"b":{"5":{}}}],["smarket",{"_index":3161,"t":{},"b":{"22":{}}}],["smarket.direct",{"_index":3196,"t":{},"b":{"22":{}}}],["solver",{"_index":1610,"t":{},"b":{"6":{},"7":{},"17":{},"21":{},"23":{}}}],["someth",{"_index":939,"t":{},"b":{"4":{},"5":{},"6":{}}}],["sometim",{"_index":2956,"t":{},"b":{"20":{}}}],["sophist",{"_index":1174,"t":{},"b":{"5":{},"6":{}}}],["sortperm(x",{"_index":2632,"t":{},"b":{"17":{}}}],["sourc",{"_index":963,"t":{},"b":{"4":{},"12":{},"14":{},"17":{}}}],["source(i",{"_index":968,"t":{},"b":{"4":{},"14":{},"15":{}}}],["source(kind=:target",{"_index":2196,"t":{},"b":{"12":{},"17":{}}}],["source(x",{"_index":966,"t":{},"b":{"4":{},"14":{},"15":{}}}],["source(xraw",{"_index":2649,"t":{},"b":{"17":{}}}],["source(yraw",{"_index":2650,"t":{},"b":{"17":{}}}],["space",{"_index":1824,"t":{},"b":{"7":{},"22":{}}}],["spars",{"_index":3581,"t":{},"b":{"24":{}}}],["sparsiti",{"_index":3598,"t":{},"b":{"24":{}}}],["spca",{"_index":2893,"t":{},"b":{"19":{}}}],["spca(std",{"_index":2890,"t":{},"b":{"19":{}}}],["spca2",{"_index":2919,"t":{},"b":{"19":{}}}],["spca2(std",{"_index":2915,"t":{},"b":{"19":{}}}],["spca2_mdl",{"_index":2918,"t":{},"b":{"19":{}}}],["spca_mdl",{"_index":2892,"t":{},"b":{"19":{}}}],["spec",{"_index":2195,"t":{},"b":{"12":{}}}],["speci",{"_index":457,"t":{},"b":{"1":{},"8":{}}}],["specif",{"_index":473,"t":{},"b":{"1":{},"3":{},"6":{},"8":{},"14":{},"17":{},"18":{}}}],["specifi",{"_index":90,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"8":{},"9":{},"10":{},"13":{},"14":{},"16":{},"18":{},"21":{},"22":{},"23":{},"24":{}}}],["speciy",{"_index":2348,"t":{},"b":{"14":{}}}],["spectacular",{"_index":3145,"t":{},"b":{"21":{}}}],["speed",{"_index":710,"t":{},"b":{"3":{}}}],["spl",{"_index":520,"t":{},"b":{"1":{}}}],["splice",{"_index":2532,"t":{},"b":{"17":{}}}],["split",{"_index":445,"t":{},"b":{"1":{},"4":{},"6":{},"7":{},"11":{},"13":{},"14":{},"17":{},"20":{},"22":{}}}],["sqrt(x",{"_index":2961,"t":{},"b":{"20":{}}}],["sqrt(x)x",{"_index":2960,"t":{},"b":{"20":{}}}],["sqrt.([4",{"_index":2963,"t":{},"b":{"20":{}}}],["squar",{"_index":3126,"t":{},"b":{"21":{},"23":{}}}],["ss",{"_index":1423,"t":{},"b":{"5":{}}}],["stack",{"_index":27,"t":{"17":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["stand",{"_index":2282,"t":{},"b":{"13":{},"14":{},"15":{},"17":{}}}],["stand_model",{"_index":2281,"t":{},"b":{"13":{}}}],["standard",{"_index":553,"t":{},"b":{"2":{},"4":{},"7":{},"9":{},"13":{},"14":{},"15":{},"17":{},"18":{},"19":{},"20":{},"22":{},"24":{}}}],["standardis",{"_index":1769,"t":{},"b":{"7":{}}}],["start",{"_index":14,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["startedbas",{"_index":3723,"t":{},"b":{"26":{}}}],["starteddata",{"_index":3480,"t":{},"b":{"24":{}}}],["starteddecis",{"_index":3627,"t":{},"b":{"25":{}}}],["startedpca",{"_index":2837,"t":{},"b":{"19":{}}}],["startedpolynomi",{"_index":3360,"t":{},"b":{"23":{}}}],["stat",{"_index":29,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["state",{"_index":2843,"t":{},"b":{"19":{}}}],["statist",{"_index":362,"t":{},"b":{"1":{},"4":{},"10":{},"12":{},"13":{},"17":{},"18":{},"20":{},"22":{}}}],["statistics.mean(v",{"_index":2204,"t":{},"b":{"12":{}}}],["statistics.mean(v::abstractvector{<:abstractnod",{"_index":2206,"t":{},"b":{"12":{}}}],["statsbas",{"_index":283,"t":{},"b":{"1":{},"5":{},"6":{},"7":{},"20":{},"22":{}}}],["statsbase.countmap",{"_index":1225,"t":{},"b":{"5":{}}}],["statsbases.jl",{"_index":3048,"t":{},"b":{"20":{}}}],["std",{"_index":292,"t":{},"b":{"1":{},"7":{},"19":{},"20":{},"21":{},"22":{}}}],["std(mao.age)miss",{"_index":440,"t":{},"b":{"1":{}}}],["std(skipmissing(mao.age))11.551715894987558",{"_index":444,"t":{},"b":{"1":{}}}],["std(w",{"_index":2295,"t":{},"b":{"13":{}}}],["std(w)round.(w",{"_index":2291,"t":{},"b":{"13":{}}}],["std(x",{"_index":2973,"t":{},"b":{"20":{}}}],["std)13×3",{"_index":1741,"t":{},"b":{"7":{}}}],["std)14×6",{"_index":290,"t":{},"b":{"1":{}}}],["std)3×3",{"_index":521,"t":{},"b":{"1":{}}}],["std)3×5",{"_index":529,"t":{},"b":{"1":{}}}],["std)5×3",{"_index":2849,"t":{},"b":{"19":{}}}],["std)9×4",{"_index":3014,"t":{},"b":{"20":{}}}],["std_model",{"_index":2394,"t":{},"b":{"15":{}}}],["std_model::standard",{"_index":2420,"t":{},"b":{"15":{}}}],["ste",{"_index":2585,"t":{},"b":{"17":{}}}],["stem(coef",{"_index":3601,"t":{},"b":{"24":{}}}],["stem(r",{"_index":3130,"t":{},"b":{"21":{},"24":{}}}],["step",{"_index":812,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"13":{},"14":{},"15":{},"17":{},"22":{},"23":{}}}],["step(xsort",{"_index":2637,"t":{},"b":{"17":{}}}],["steps(x",{"_index":2627,"t":{},"b":{"17":{}}}],["steps.(x",{"_index":2630,"t":{},"b":{"17":{}}}],["stepsdatamlj",{"_index":2227,"t":{},"b":{"13":{}}}],["stepsdefin",{"_index":2300,"t":{},"b":{"14":{}}}],["stepsdummi",{"_index":803,"t":{},"b":{"4":{}}}],["stepshomogen",{"_index":2000,"t":{},"b":{"10":{}}}],["stepsus",{"_index":2386,"t":{},"b":{"15":{}}}],["stepsxgboost",{"_index":1135,"t":{},"b":{"5":{}}}],["steroid",{"_index":2331,"t":{},"b":{"14":{}}}],["stick",{"_index":3337,"t":{},"b":{"22":{}}}],["still",{"_index":1232,"t":{},"b":{"5":{},"6":{},"10":{},"17":{}}}],["stock",{"_index":3153,"t":{},"b":{"22":{}}}],["store",{"_index":891,"t":{},"b":{"4":{},"8":{}}}],["store_covari",{"_index":3293,"t":{},"b":{"22":{}}}],["strategi",{"_index":2433,"t":{},"b":{"16":{}}}],["string",{"_index":608,"t":{},"b":{"2":{},"3":{},"20":{}}}],["string_to_multiclass",{"_index":793,"t":{},"b":{"3":{}}}],["struct",{"_index":1011,"t":{},"b":{"4":{},"8":{},"15":{}}}],["structur",{"_index":1059,"t":{},"b":{"4":{}}}],["sub",{"_index":264,"t":{},"b":{"1":{},"11":{},"16":{}}}],["subdatafram",{"_index":504,"t":{},"b":{"1":{}}}],["subdf_setosa",{"_index":487,"t":{},"b":{"1":{}}}],["subfeatur",{"_index":2138,"t":{},"b":{"11":{}}}],["subsampl",{"_index":1189,"t":{},"b":{"5":{},"12":{}}}],["subselect",{"_index":407,"t":{},"b":{"1":{}}}],["subsequ",{"_index":2392,"t":{},"b":{"15":{}}}],["subset",{"_index":2736,"t":{},"b":{"17":{}}}],["subspacelda",{"_index":1937,"t":{},"b":{"8":{}}}],["such",{"_index":565,"t":{},"b":{"2":{},"3":{},"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"14":{},"16":{},"17":{},"18":{},"22":{}}}],["suffic",{"_index":2514,"t":{},"b":{"17":{}}}],["suggest",{"_index":790,"t":{},"b":{"3":{},"6":{}}}],["sum",{"_index":1004,"t":{},"b":{"4":{}}}],["sum(abs.(vv",{"_index":2298,"t":{},"b":{"13":{}}}],["sum(abs.(x",{"_index":381,"t":{},"b":{"1":{}}}],["sum(coef",{"_index":3599,"t":{},"b":{"24":{}}}],["sum(ismissing.(col",{"_index":1568,"t":{},"b":{"6":{}}}],["sum(purchas",{"_index":3316,"t":{},"b":{"22":{}}}],["summari",{"_index":2109,"t":{},"b":{"11":{}}}],["supervis",{"_index":2229,"t":{},"b":{"13":{},"14":{}}}],["suppli",{"_index":2536,"t":{},"b":{"17":{}}}],["support",{"_index":1903,"t":{"26":{}},"b":{"8":{},"10":{},"14":{},"18":{},"20":{},"23":{},"26":{}}}],["sure",{"_index":3565,"t":{},"b":{"24":{}}}],["surgeri",{"_index":1459,"t":{},"b":{"6":{}}}],["surgical_les",{"_index":1480,"t":{},"b":{"6":{}}}],["svc",{"_index":3740,"t":{},"b":{"26":{}}}],["svc_mdl",{"_index":3742,"t":{},"b":{"26":{}}}],["svm",{"_index":2550,"t":{},"b":{"17":{},"18":{},"26":{}}}],["svmregressor",{"_index":2551,"t":{},"b":{"17":{}}}],["swap",{"_index":3562,"t":{},"b":{"24":{}}}],["symbol",{"_index":293,"t":{},"b":{"1":{},"6":{},"7":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{}}}],["symbol(\"x$j",{"_index":3443,"t":{},"b":{"23":{}}}],["syntax",{"_index":270,"t":{},"b":{"1":{},"4":{},"7":{},"9":{},"14":{},"16":{},"20":{}}}],["syntaxpreliminari",{"_index":2304,"t":{},"b":{"14":{}}}],["syntaxtun",{"_index":810,"t":{},"b":{"4":{}}}],["syntaxus",{"_index":808,"t":{},"b":{"4":{}}}],["system",{"_index":623,"t":{},"b":{"2":{}}}],["systemat",{"_index":2051,"t":{},"b":{"10":{}}}],["t,1",{"_index":1076,"t":{},"b":{"4":{}}}],["t=pca(maxoutdim=2",{"_index":1830,"t":{},"b":{"7":{}}}],["t[numericrang",{"_index":1112,"t":{},"b":{"4":{}}}],["tabl",{"_index":2526,"t":{},"b":{"17":{},"26":{}}}],["table(hcat(predict(1…75",{"_index":2709,"t":{},"b":{"17":{}}}],["tabular",{"_index":3279,"t":{},"b":{"22":{}}}],["tag",{"_index":2834,"t":{},"b":{"18":{}}}],["take",{"_index":882,"t":{},"b":{"4":{},"16":{},"22":{}}}],["taken",{"_index":1896,"t":{},"b":{"8":{},"10":{},"21":{}}}],["target",{"_index":869,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"14":{},"17":{},"21":{},"22":{},"24":{}}}],["task",{"_index":1891,"t":{},"b":{"8":{},"15":{},"17":{}}}],["tax",{"_index":189,"t":{},"b":{"1":{},"3":{},"21":{}}}],["teach",{"_index":2830,"t":{},"b":{"18":{}}}],["temperatur",{"_index":711,"t":{},"b":{"3":{}}}],["temperature_extrem",{"_index":1464,"t":{},"b":{"6":{}}}],["tend",{"_index":3673,"t":{},"b":{"25":{}}}],["term",{"_index":3134,"t":{},"b":{"21":{},"24":{}}}],["test",{"_index":899,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"10":{},"13":{},"14":{},"15":{},"17":{},"22":{},"23":{},"24":{},"25":{}}}],["test[1:3]3",{"_index":2248,"t":{},"b":{"13":{}}}],["textual",{"_index":721,"t":{},"b":{"3":{}}}],["thank",{"_index":1686,"t":{},"b":{"7":{},"8":{}}}],["that'",{"_index":404,"t":{},"b":{"1":{},"6":{},"14":{},"22":{},"24":{},"25":{}}}],["themselv",{"_index":2538,"t":{},"b":{"17":{}}}],["there'",{"_index":630,"t":{},"b":{"2":{},"4":{},"6":{},"20":{},"21":{},"23":{}}}],["there'r",{"_index":3538,"t":{},"b":{"24":{}}}],["therefor",{"_index":1940,"t":{},"b":{"8":{},"17":{}}}],["thibaut",{"_index":126,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["thing",{"_index":118,"t":{},"b":{"0":{},"4":{},"6":{},"18":{},"20":{},"22":{}}}],["third",{"_index":988,"t":{},"b":{"4":{}}}],["those",{"_index":245,"t":{},"b":{"1":{},"22":{},"23":{}}}],["though",{"_index":750,"t":{},"b":{"3":{},"11":{},"13":{}}}],["three",{"_index":618,"t":{},"b":{"2":{},"3":{},"7":{},"17":{},"22":{},"23":{}}}],["threshold",{"_index":3354,"t":{},"b":{"22":{}}}],["through",{"_index":2336,"t":{},"b":{"14":{},"18":{}}}],["throughout",{"_index":732,"t":{},"b":{"3":{}}}],["thu",{"_index":2403,"t":{},"b":{"15":{}}}],["thumb",{"_index":1549,"t":{},"b":{"6":{}}}],["timber",{"_index":855,"t":{},"b":{"4":{}}}],["time",{"_index":516,"t":{},"b":{"1":{},"22":{},"23":{}}}],["tip",{"_index":769,"t":{},"b":{"3":{}}}],["tm",{"_index":1089,"t":{},"b":{"4":{},"5":{},"6":{},"10":{},"16":{},"23":{},"24":{},"25":{},"26":{}}}],["today",{"_index":3172,"t":{},"b":{"22":{}}}],["togeth",{"_index":2533,"t":{},"b":{"17":{},"21":{}}}],["tol",{"_index":3294,"t":{},"b":{"22":{}}}],["tool",{"_index":781,"t":{},"b":{"3":{},"18":{}}}],["top_k",{"_index":1216,"t":{},"b":{"5":{}}}],["total",{"_index":1698,"t":{},"b":{"7":{}}}],["total_protein",{"_index":1477,"t":{},"b":{"6":{}}}],["totalbsmtsf",{"_index":836,"t":{},"b":{"4":{},"17":{}}}],["toy",{"_index":2875,"t":{},"b":{"19":{}}}],["tpr",{"_index":3353,"t":{},"b":{"22":{}}}],["track",{"_index":1503,"t":{},"b":{"6":{},"13":{}}}],["tradeoff",{"_index":3747,"t":{},"b":{"26":{}}}],["train",{"_index":892,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"17":{},"22":{},"23":{},"24":{},"25":{}}}],["train/test",{"_index":1561,"t":{},"b":{"6":{}}}],["train_best",{"_index":1113,"t":{},"b":{"4":{},"16":{},"23":{}}}],["transform",{"_index":19,"t":{"13":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["transform(1…25",{"_index":2343,"t":{},"b":{"14":{}}}],["transform(1…27",{"_index":2400,"t":{},"b":{"15":{}}}],["transform(1…71",{"_index":2397,"t":{},"b":{"15":{}}}],["transform(2…65",{"_index":986,"t":{},"b":{"4":{}}}],["transform(2…83",{"_index":2378,"t":{},"b":{"14":{}}}],["transform(box",{"_index":2361,"t":{},"b":{"14":{},"15":{}}}],["transform(fil",{"_index":1599,"t":{},"b":{"6":{}}}],["transform(fit!(machine(univariatestandard",{"_index":2750,"t":{},"b":{"17":{}}}],["transform(hot",{"_index":976,"t":{},"b":{"4":{}}}],["transform(hot_mach",{"_index":2747,"t":{},"b":{"17":{}}}],["transform(machine(m.std_model",{"_index":2423,"t":{},"b":{"15":{}}}],["transform(mstd",{"_index":3333,"t":{},"b":{"22":{}}}],["transform(pca",{"_index":1833,"t":{},"b":{"7":{},"19":{}}}],["transform(spca",{"_index":2896,"t":{},"b":{"19":{}}}],["transform(stand",{"_index":2287,"t":{},"b":{"13":{},"14":{},"15":{}}}],["transformationsimpl",{"_index":3066,"t":{},"b":{"21":{}}}],["treat",{"_index":1528,"t":{},"b":{"6":{}}}],["tree",{"_index":1210,"t":{"25":{}},"b":{"5":{},"6":{},"11":{},"12":{},"13":{},"16":{},"17":{},"18":{},"25":{}}}],["tree.max_depth",{"_index":3680,"t":{},"b":{"25":{}}}],["tree.min_samples_leaf",{"_index":3682,"t":{},"b":{"25":{}}}],["tree_method",{"_index":1193,"t":{},"b":{"5":{}}}],["tree_model",{"_index":2233,"t":{},"b":{"13":{}}}],["tri",{"_index":938,"t":{},"b":{"4":{},"6":{},"8":{},"19":{},"21":{},"22":{},"24":{},"25":{}}}],["trick",{"_index":770,"t":{},"b":{"3":{}}}],["trickstyp",{"_index":688,"t":{},"b":{"3":{}}}],["tricontourf(md",{"_index":1393,"t":{},"b":{"5":{}}}],["tricontourf(ss",{"_index":1425,"t":{},"b":{"5":{}}}],["tricontourf(vals_b",{"_index":2090,"t":{},"b":{"10":{}}}],["tricontourf(vals_sf",{"_index":2184,"t":{},"b":{"11":{},"16":{}}}],["true",{"_index":960,"t":{},"b":{"4":{},"6":{},"7":{},"8":{},"9":{},"10":{},"16":{},"17":{},"21":{},"22":{},"23":{},"24":{},"25":{}}}],["truth",{"_index":2369,"t":{},"b":{"14":{},"22":{}}}],["tune",{"_index":20,"t":{"16":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["tuned_ensembl",{"_index":2076,"t":{},"b":{"10":{}}}],["tuned_forest",{"_index":2171,"t":{},"b":{"11":{}}}],["tuned_stack",{"_index":2780,"t":{},"b":{"17":{}}}],["tunedmodel",{"_index":2069,"t":{},"b":{"10":{},"14":{},"16":{}}}],["tunedmodel(model=dtc",{"_index":2443,"t":{},"b":{"16":{}}}],["tunedmodel(model=dtr_model",{"_index":3702,"t":{},"b":{"25":{}}}],["tunedmodel(model=ensemble_model",{"_index":2070,"t":{},"b":{"10":{}}}],["tunedmodel(model=forest",{"_index":2172,"t":{},"b":{"11":{},"16":{}}}],["tunedmodel(model=krb",{"_index":1090,"t":{},"b":{"4":{}}}],["tunedmodel(model=lrm",{"_index":3449,"t":{},"b":{"23":{}}}],["tunedmodel(model=mdl",{"_index":3684,"t":{},"b":{"25":{}}}],["tunedmodel(model=model",{"_index":3568,"t":{},"b":{"24":{}}}],["tunedmodel(model=simplepip",{"_index":1646,"t":{},"b":{"6":{}}}],["tunedmodel(model=stack",{"_index":2781,"t":{},"b":{"17":{}}}],["tunedmodel(model=svc_mdl",{"_index":3753,"t":{},"b":{"26":{}}}],["tunedmodel(model=xgb",{"_index":1374,"t":{},"b":{"5":{}}}],["tuning=grid",{"_index":2782,"t":{},"b":{"17":{}}}],["tuning=grid(resolution=10",{"_index":2071,"t":{},"b":{"10":{},"25":{},"26":{}}}],["tuning=grid(resolution=12",{"_index":2482,"t":{},"b":{"16":{}}}],["tuning=grid(resolution=3",{"_index":2173,"t":{},"b":{"11":{}}}],["tuning=grid(resolution=50",{"_index":3569,"t":{},"b":{"24":{}}}],["tuning=grid(resolution=8",{"_index":1375,"t":{},"b":{"5":{},"25":{}}}],["tuning=tun",{"_index":1091,"t":{},"b":{"4":{}}}],["tuningget",{"_index":3724,"t":{},"b":{"26":{}}}],["tuningreport",{"_index":2003,"t":{},"b":{"10":{}}}],["tupl",{"_index":2263,"t":{},"b":{"13":{},"14":{}}}],["tutori",{"_index":4,"t":{"12":{},"18":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["tweedie_variance_pow",{"_index":1217,"t":{},"b":{"5":{}}}],["two",{"_index":98,"t":{},"b":{"0":{},"2":{},"4":{},"6":{},"7":{},"8":{},"10":{},"15":{},"17":{},"22":{}}}],["type",{"_index":12,"t":{"3":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["typeappl",{"_index":2192,"t":{},"b":{"12":{}}}],["typeappli",{"_index":2497,"t":{},"b":{"17":{}}}],["typeget",{"_index":1675,"t":{},"b":{"7":{}}}],["typeof(boston)dataframes.datafram",{"_index":169,"t":{},"b":{"1":{},"2":{}}}],["typeof(data)dataframes.datafram",{"_index":626,"t":{},"b":{"2":{}}}],["typesinspect",{"_index":684,"t":{},"b":{"3":{}}}],["typeunpack",{"_index":1877,"t":{},"b":{"8":{}}}],["typewhi",{"_index":682,"t":{},"b":{"3":{}}}],["typic",{"_index":1977,"t":{},"b":{"9":{}}}],["u",{"_index":3224,"t":{},"b":{"22":{}}}],["uci",{"_index":1447,"t":{},"b":{"6":{},"7":{}}}],["un",{"_index":703,"t":{},"b":{"3":{}}}],["unbalanc",{"_index":3328,"t":{},"b":{"22":{}}}],["under",{"_index":3349,"t":{},"b":{"22":{}}}],["understand",{"_index":2528,"t":{},"b":{"17":{}}}],["understood",{"_index":1893,"t":{},"b":{"8":{}}}],["undertak",{"_index":2735,"t":{},"b":{"17":{}}}],["unifi",{"_index":3068,"t":{},"b":{"21":{}}}],["uniform",{"_index":961,"t":{},"b":{"4":{},"5":{},"8":{},"10":{},"17":{}}}],["union",{"_index":412,"t":{},"b":{"1":{},"19":{},"20":{},"22":{}}}],["union{miss",{"_index":1522,"t":{},"b":{"6":{},"7":{}}}],["uniqu",{"_index":788,"t":{},"b":{"3":{}}}],["unique(boston.chas)2",{"_index":748,"t":{},"b":{"3":{}}}],["unique(iris.species)3",{"_index":481,"t":{},"b":{"1":{}}}],["unique(purchase)2",{"_index":3313,"t":{},"b":{"22":{}}}],["unit",{"_index":2440,"t":{},"b":{"16":{}}}],["univari",{"_index":915,"t":{},"b":{"4":{},"21":{}}}],["univariateboxcoxtransform",{"_index":2359,"t":{},"b":{"14":{},"15":{}}}],["univariateboxcoxtransformer()nod",{"_index":2376,"t":{},"b":{"14":{}}}],["univariatefinite(down=>0.493",{"_index":3238,"t":{},"b":{"22":{}}}],["univariatefinite(down=>0.504",{"_index":3276,"t":{},"b":{"22":{}}}],["univariatefinite(down=>0.518",{"_index":3240,"t":{},"b":{"22":{}}}],["univariatefinite(down=>0.519",{"_index":3242,"t":{},"b":{"22":{}}}],["univariatefinite(setosa=>0.0",{"_index":2266,"t":{},"b":{"13":{}}}],["univariatestandard",{"_index":1986,"t":{},"b":{"9":{},"13":{}}}],["univers",{"_index":2813,"t":{},"b":{"18":{}}}],["unknown",{"_index":726,"t":{},"b":{"3":{},"6":{},"17":{}}}],["unknowntip",{"_index":687,"t":{},"b":{"3":{}}}],["unless",{"_index":734,"t":{},"b":{"3":{},"12":{}}}],["unnecessari",{"_index":2823,"t":{},"b":{"18":{}}}],["unpack",{"_index":1890,"t":{},"b":{"8":{},"13":{}}}],["unpack(auto",{"_index":3364,"t":{},"b":{"23":{}}}],["unpack(boston",{"_index":3691,"t":{},"b":{"25":{}}}],["unpack(caravan",{"_index":3330,"t":{},"b":{"22":{}}}],["unpack(data",{"_index":1710,"t":{},"b":{"7":{}}}],["unpack(datac",{"_index":1600,"t":{},"b":{"6":{}}}],["unpack(hitt",{"_index":3512,"t":{},"b":{"24":{}}}],["unpack(iri",{"_index":1892,"t":{},"b":{"8":{}}}],["unspecifi",{"_index":898,"t":{},"b":{"4":{}}}],["unsupervis",{"_index":2244,"t":{},"b":{"13":{},"14":{}}}],["untrain",{"_index":2328,"t":{},"b":{"14":{}}}],["untun",{"_index":2788,"t":{},"b":{"17":{}}}],["unwant",{"_index":1499,"t":{},"b":{"6":{}}}],["up",{"_index":2488,"t":{},"b":{"17":{},"22":{}}}],["up=>0.479",{"_index":3275,"t":{},"b":{"22":{}}}],["up=>0.481",{"_index":3243,"t":{},"b":{"22":{}}}],["up=>0.482",{"_index":3241,"t":{},"b":{"22":{}}}],["up=>0.496",{"_index":3277,"t":{},"b":{"22":{}}}],["up=>0.507",{"_index":3239,"t":{},"b":{"22":{}}}],["updat",{"_index":1198,"t":{},"b":{"5":{}}}],["updr",{"_index":419,"t":{},"b":{"1":{}}}],["upon",{"_index":2101,"t":{},"b":{"11":{}}}],["upper",{"_index":2439,"t":{},"b":{"16":{},"17":{}}}],["upper=0.9",{"_index":1073,"t":{},"b":{"4":{}}}],["upper=1.0",{"_index":1418,"t":{},"b":{"5":{},"10":{},"11":{},"16":{}}}],["upper=10",{"_index":1070,"t":{},"b":{"4":{},"5":{},"25":{}}}],["upper=100",{"_index":1065,"t":{},"b":{"4":{},"6":{},"12":{},"24":{}}}],["upper=1000",{"_index":2150,"t":{},"b":{"11":{}}}],["upper=100_000",{"_index":3567,"t":{},"b":{"24":{}}}],["upper=10_000",{"_index":3619,"t":{},"b":{"24":{}}}],["upper=12",{"_index":2164,"t":{},"b":{"11":{}}}],["upper=20",{"_index":2065,"t":{},"b":{"10":{},"25":{}}}],["upper=3",{"_index":2481,"t":{},"b":{"16":{}}}],["upper=5",{"_index":1373,"t":{},"b":{"5":{},"26":{}}}],["upper=5)numericrang",{"_index":2438,"t":{},"b":{"16":{}}}],["upper=50",{"_index":3683,"t":{},"b":{"25":{}}}],["upper=500",{"_index":1244,"t":{},"b":{"5":{}}}],["upstream",{"_index":2346,"t":{},"b":{"14":{}}}],["urban",{"_index":3642,"t":{},"b":{"25":{}}}],["urbanpop",{"_index":2846,"t":{},"b":{"19":{}}}],["urbanpop=>continu",{"_index":2860,"t":{},"b":{"19":{}}}],["us",{"_index":62,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["usabl",{"_index":2507,"t":{},"b":{"17":{}}}],["usag",{"_index":477,"t":{},"b":{"1":{},"2":{}}}],["usageexampl",{"_index":547,"t":{},"b":{"2":{}}}],["usarrest",{"_index":2841,"t":{},"b":{"19":{}}}],["usual",{"_index":707,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"11":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"22":{},"26":{}}}],["v",{"_index":64,"t":{},"b":{"0":{},"12":{},"13":{}}}],["v))0.0",{"_index":2299,"t":{},"b":{"13":{}}}],["v)machine{univariatestandard",{"_index":2284,"t":{},"b":{"13":{}}}],["v[1",{"_index":106,"t":{},"b":{"0":{}}}],["v[2]fals",{"_index":120,"t":{},"b":{"0":{}}}],["v[2]true",{"_index":107,"t":{},"b":{"0":{}}}],["val",{"_index":3312,"t":{},"b":{"22":{}}}],["valid",{"_index":624,"t":{"23":{}},"b":{"2":{},"4":{},"16":{},"17":{},"18":{},"23":{},"24":{}}}],["validatinglasso",{"_index":3484,"t":{},"b":{"24":{}}}],["validationth",{"_index":3362,"t":{},"b":{"23":{}}}],["vals[1",{"_index":3317,"t":{},"b":{"22":{}}}],["vals[2",{"_index":3319,"t":{},"b":{"22":{}}}],["vals_b",{"_index":2087,"t":{},"b":{"10":{}}}],["vals_bf",{"_index":2183,"t":{},"b":{"11":{},"16":{}}}],["vals_k",{"_index":2089,"t":{},"b":{"10":{}}}],["vals_sf",{"_index":2182,"t":{},"b":{"11":{},"16":{}}}],["valu",{"_index":122,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"6":{},"7":{},"9":{},"14":{},"16":{},"17":{},"18":{},"21":{},"23":{},"24":{}}}],["valuefit",{"_index":2431,"t":{},"b":{"16":{}}}],["values=cas",{"_index":3448,"t":{},"b":{"23":{}}}],["valuesa",{"_index":1443,"t":{},"b":{"6":{}}}],["valuessplit",{"_index":144,"t":{},"b":{"1":{}}}],["valuesthi",{"_index":57,"t":{},"b":{"0":{}}}],["var(xs[:,1",{"_index":3334,"t":{},"b":{"22":{}}}],["vari",{"_index":1238,"t":{},"b":{"5":{},"7":{},"13":{}}}],["variabl",{"_index":291,"t":{},"b":{"1":{},"3":{},"7":{},"9":{},"19":{},"20":{},"21":{},"22":{},"25":{}}}],["varianc",{"_index":919,"t":{},"b":{"4":{},"19":{}}}],["variat",{"_index":1773,"t":{},"b":{"7":{}}}],["variou",{"_index":1771,"t":{},"b":{"7":{}}}],["vcat",{"_index":2329,"t":{},"b":{"14":{},"17":{},"26":{}}}],["vcat(data_train",{"_index":1500,"t":{},"b":{"6":{}}}],["vcat(y11",{"_index":2671,"t":{},"b":{"17":{}}}],["vcat(y21",{"_index":2685,"t":{},"b":{"17":{}}}],["vector",{"_index":61,"t":{"26":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"13":{},"17":{},"20":{},"26":{}}}],["vectorwork",{"_index":54,"t":{},"b":{"0":{}}}],["vega",{"_index":3063,"t":{},"b":{"20":{}}}],["verbos",{"_index":1032,"t":{},"b":{"4":{},"14":{}}}],["verbosity::int",{"_index":1019,"t":{},"b":{"4":{},"15":{}}}],["verbosity=0",{"_index":1028,"t":{},"b":{"4":{},"12":{},"15":{},"17":{}}}],["veri",{"_index":164,"t":{},"b":{"1":{},"2":{},"4":{},"5":{},"6":{},"7":{},"11":{},"18":{},"20":{},"21":{},"22":{}}}],["versicolor",{"_index":482,"t":{},"b":{"1":{},"13":{}}}],["versicolor=>0.0",{"_index":2267,"t":{},"b":{"13":{}}}],["version",{"_index":448,"t":{},"b":{"1":{},"4":{}}}],["via",{"_index":554,"t":{},"b":{"2":{},"4":{},"7":{},"10":{},"15":{},"20":{},"22":{}}}],["view",{"_index":194,"t":{},"b":{"1":{}}}],["virginica",{"_index":483,"t":{},"b":{"1":{},"13":{}}}],["virginica=>1.0",{"_index":2268,"t":{},"b":{"13":{}}}],["visualis",{"_index":1422,"t":{},"b":{"5":{},"7":{},"10":{},"16":{},"19":{},"21":{},"22":{},"23":{},"24":{},"26":{}}}],["vntrcod2",{"_index":432,"t":{},"b":{"1":{}}}],["vntrcode",{"_index":430,"t":{},"b":{"1":{}}}],["volum",{"_index":3171,"t":{},"b":{"22":{}}}],["vote",{"_index":2503,"t":{},"b":{"17":{}}}],["vs",{"_index":681,"t":{},"b":{"3":{}}}],["vv",{"_index":2296,"t":{},"b":{"13":{}}}],["w",{"_index":973,"t":{},"b":{"4":{},"7":{},"13":{},"14":{},"15":{},"19":{}}}],["w(rows=test",{"_index":2349,"t":{},"b":{"14":{}}}],["w(x[3:4",{"_index":2350,"t":{},"b":{"14":{}}}],["w)node",{"_index":983,"t":{},"b":{"4":{},"15":{}}}],["w.x1",{"_index":1838,"t":{},"b":{"7":{}}}],["w.x2",{"_index":1840,"t":{},"b":{"7":{}}}],["w[m",{"_index":2933,"t":{},"b":{"19":{}}}],["w_rang",{"_index":1071,"t":{},"b":{"4":{}}}],["w_range]3",{"_index":1074,"t":{},"b":{"4":{}}}],["walk",{"_index":3499,"t":{},"b":{"24":{}}}],["want",{"_index":104,"t":{},"b":{"0":{},"1":{},"3":{},"4":{},"8":{},"9":{},"14":{},"18":{},"20":{},"21":{},"22":{},"23":{}}}],["warm",{"_index":2552,"t":{},"b":{"17":{}}}],["warn",{"_index":2240,"t":{},"b":{"13":{}}}],["way",{"_index":552,"t":{},"b":{"2":{},"7":{},"15":{},"16":{},"18":{},"20":{},"22":{}}}],["we'll",{"_index":1547,"t":{},"b":{"6":{},"7":{},"22":{},"24":{}}}],["we'r",{"_index":3248,"t":{},"b":{"22":{},"23":{},"24":{}}}],["we'v",{"_index":105,"t":{},"b":{"0":{},"6":{},"10":{},"11":{},"19":{},"22":{}}}],["wealth",{"_index":2957,"t":{},"b":{"20":{}}}],["websit",{"_index":134,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["weight",{"_index":709,"t":{},"b":{"3":{},"4":{},"5":{},"8":{},"10":{},"16":{},"17":{},"20":{},"23":{}}}],["welcom",{"_index":2800,"t":{},"b":{"18":{}}}],["well",{"_index":149,"t":{},"b":{"1":{},"2":{},"4":{},"6":{},"7":{},"11":{},"17":{},"21":{},"22":{},"23":{}}}],["whatev",{"_index":2345,"t":{},"b":{"14":{}}}],["whatever'",{"_index":1552,"t":{},"b":{"6":{}}}],["whenc",{"_index":2050,"t":{},"b":{"10":{}}}],["where=\"mid",{"_index":2639,"t":{},"b":{"17":{}}}],["wherea",{"_index":700,"t":{},"b":{"3":{}}}],["whether",{"_index":629,"t":{},"b":{"2":{},"5":{},"6":{},"14":{},"25":{}}}],["whole",{"_index":1631,"t":{},"b":{"6":{},"11":{},"17":{},"25":{}}}],["whose",{"_index":74,"t":{},"b":{"0":{},"14":{}}}],["width",{"_index":3749,"t":{},"b":{"26":{}}}],["wine",{"_index":40,"t":{"7":{}},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["wise",{"_index":2962,"t":{},"b":{"20":{}}}],["wish",{"_index":92,"t":{},"b":{"0":{}}}],["without",{"_index":475,"t":{},"b":{"1":{},"17":{},"24":{}}}],["wolpert",{"_index":2520,"t":{},"b":{"17":{}}}],["won't",{"_index":1828,"t":{},"b":{"7":{},"19":{},"22":{}}}],["wonder",{"_index":2944,"t":{},"b":{"20":{}}}],["work",{"_index":89,"t":{},"b":{"0":{},"6":{},"7":{},"11":{},"14":{},"17":{},"22":{},"24":{}}}],["workflow",{"_index":1978,"t":{},"b":{"9":{},"14":{}}}],["worri",{"_index":576,"t":{},"b":{"2":{}}}],["wors",{"_index":1672,"t":{},"b":{"6":{}}}],["wrangl",{"_index":3047,"t":{},"b":{"20":{}}}],["wrap",{"_index":889,"t":{},"b":{"4":{},"5":{},"7":{},"10":{},"13":{},"14":{},"16":{},"17":{},"21":{},"26":{}}}],["wrapper",{"_index":172,"t":{},"b":{"1":{},"12":{},"16":{}}}],["write",{"_index":2390,"t":{},"b":{"15":{},"23":{}}}],["written",{"_index":2818,"t":{},"b":{"18":{},"20":{}}}],["x",{"_index":824,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["x.age",{"_index":3138,"t":{},"b":{"21":{}}}],["x.horsepow",{"_index":3388,"t":{},"b":{"23":{}}}],["x.lstat",{"_index":3137,"t":{},"b":{"21":{}}}],["x.lstat.^2",{"_index":3148,"t":{},"b":{"21":{}}}],["x.x2",{"_index":2476,"t":{},"b":{"16":{}}}],["x0",{"_index":2737,"t":{},"b":{"17":{}}}],["x1",{"_index":1837,"t":{},"b":{"7":{},"14":{},"15":{},"17":{},"19":{},"21":{},"23":{}}}],["x10",{"_index":3460,"t":{},"b":{"23":{}}}],["x1=rand(100",{"_index":2472,"t":{},"b":{"16":{}}}],["x1stflrsf",{"_index":835,"t":{},"b":{"4":{},"17":{}}}],["x2",{"_index":1839,"t":{},"b":{"7":{},"14":{},"15":{},"19":{},"21":{},"22":{},"23":{}}}],["x2=rand(100",{"_index":2473,"t":{},"b":{"16":{}}}],["x2=x2",{"_index":2311,"t":{},"b":{"14":{},"15":{}}}],["x2[mask_1",{"_index":1846,"t":{},"b":{"7":{}}}],["x2[mask_2",{"_index":1851,"t":{},"b":{"7":{}}}],["x2[mask_3",{"_index":1854,"t":{},"b":{"7":{}}}],["x3",{"_index":2307,"t":{},"b":{"14":{},"15":{},"19":{},"21":{},"22":{},"23":{}}}],["x3=rand(100",{"_index":2474,"t":{},"b":{"16":{}}}],["x3=x3",{"_index":2312,"t":{},"b":{"14":{},"15":{}}}],["x4",{"_index":2866,"t":{},"b":{"19":{},"23":{}}}],["x5",{"_index":2898,"t":{},"b":{"19":{},"23":{}}}],["x6",{"_index":2899,"t":{},"b":{"19":{},"23":{}}}],["x7",{"_index":3457,"t":{},"b":{"23":{}}}],["x8",{"_index":3458,"t":{},"b":{"23":{}}}],["x9",{"_index":3459,"t":{},"b":{"23":{}}}],["x[1",{"_index":2977,"t":{},"b":{"20":{}}}],["x[1:5",{"_index":1723,"t":{},"b":{"7":{}}}],["x[[1",{"_index":2978,"t":{},"b":{"20":{}}}],["x[idxsort",{"_index":2634,"t":{},"b":{"17":{}}}],["x[no_miss",{"_index":3517,"t":{},"b":{"24":{}}}],["x[test",{"_index":2019,"t":{},"b":{"10":{}}}],["x[train",{"_index":1613,"t":{},"b":{"6":{}}}],["x[ym1",{"_index":3734,"t":{},"b":{"26":{}}}],["x[ym2",{"_index":3736,"t":{},"b":{"26":{}}}],["x^2",{"_index":2959,"t":{},"b":{"20":{}}}],["x_judg",{"_index":2703,"t":{},"b":{"17":{}}}],["x_judge)nod",{"_index":2706,"t":{},"b":{"17":{}}}],["x_oo",{"_index":2691,"t":{},"b":{"17":{}}}],["x_uni",{"_index":3085,"t":{},"b":{"21":{}}}],["xc",{"_index":1732,"t":{},"b":{"7":{},"24":{}}}],["xg",{"_index":2836,"t":{},"b":{"18":{}}}],["xgb",{"_index":42,"t":{},"b":{"0":{},"1":{},"2":{},"3":{},"4":{},"5":{},"6":{},"7":{},"8":{},"9":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"18":{},"19":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{},"27":{}}}],["xgb.colsample_bytre",{"_index":1432,"t":{},"b":{"5":{}}}],["xgb.colsample_bytreexgb.subsampl",{"_index":1431,"t":{},"b":{"5":{}}}],["xgb.max_depth",{"_index":1401,"t":{},"b":{"5":{}}}],["xgb.min_child_weight",{"_index":1403,"t":{},"b":{"5":{}}}],["xgb.min_child_weightxgb.max_depth",{"_index":1402,"t":{},"b":{"5":{}}}],["xgb.num_round",{"_index":1364,"t":{},"b":{"5":{}}}],["xgb.subsampl",{"_index":1430,"t":{},"b":{"5":{}}}],["xgb_mdl",{"_index":3716,"t":{},"b":{"25":{}}}],["xgb_model",{"_index":1178,"t":{},"b":{"5":{}}}],["xgbm",{"_index":1234,"t":{},"b":{"5":{}}}],["xgboost",{"_index":1134,"t":{"5":{}},"b":{"5":{},"8":{}}}],["xgboostclassifi",{"_index":1177,"t":{},"b":{"5":{},"6":{},"8":{}}}],["xgboostclassifier()xgboostclassifi",{"_index":1179,"t":{},"b":{"5":{}}}],["xgboostregressor",{"_index":3715,"t":{},"b":{"25":{}}}],["xgboostregressor(num_round=10",{"_index":3717,"t":{},"b":{"25":{}}}],["xhp",{"_index":3389,"t":{},"b":{"23":{}}}],["xlabel(\"bag",{"_index":2092,"t":{},"b":{"10":{}}}],["xlabel(\"fals",{"_index":3357,"t":{},"b":{"22":{}}}],["xlabel(\"horsepow",{"_index":3369,"t":{},"b":{"23":{}}}],["xlabel(\"index",{"_index":3520,"t":{},"b":{"24":{}}}],["xlabel(\"maximum",{"_index":1395,"t":{},"b":{"5":{},"16":{}}}],["xlabel(\"numb",{"_index":1356,"t":{},"b":{"5":{},"11":{},"16":{},"19":{}}}],["xlabel(\"pca",{"_index":1856,"t":{},"b":{"7":{},"19":{}}}],["xlabel(\"residu",{"_index":3561,"t":{},"b":{"24":{}}}],["xlabel(\"salari",{"_index":3525,"t":{},"b":{"24":{}}}],["xlabel(\"sub",{"_index":1426,"t":{},"b":{"5":{}}}],["xlabel(\"tick",{"_index":3212,"t":{},"b":{"22":{}}}],["xlabel(curve.parameter_nam",{"_index":2223,"t":{},"b":{"12":{}}}],["xlim",{"_index":2642,"t":{},"b":{"17":{},"24":{}}}],["xnew",{"_index":3098,"t":{},"b":{"21":{},"22":{},"23":{}}}],["xnew.lstat",{"_index":3150,"t":{},"b":{"21":{}}}],["xnew.lstat.^2",{"_index":3152,"t":{},"b":{"21":{}}}],["xraw",{"_index":2006,"t":{},"b":{"10":{},"17":{}}}],["xraw[:,2",{"_index":2009,"t":{},"b":{"10":{}}}],["xs",{"_index":965,"t":{},"b":{"4":{},"12":{},"14":{},"15":{},"22":{}}}],["xs)node",{"_index":2341,"t":{},"b":{"14":{}}}],["xsort",{"_index":2633,"t":{},"b":{"17":{}}}],["xtest",{"_index":1794,"t":{},"b":{"7":{}}}],["xticks(0.5:0.1:1",{"_index":2091,"t":{},"b":{"10":{}}}],["xticks(1:3:12",{"_index":2185,"t":{},"b":{"11":{}}}],["xticks(1:5",{"_index":2469,"t":{},"b":{"16":{}}}],["xticks(3:2:10",{"_index":1397,"t":{},"b":{"5":{}}}],["xticks(50:50:250",{"_index":3370,"t":{},"b":{"23":{}}}],["xticks([1",{"_index":2485,"t":{},"b":{"16":{},"22":{}}}],["xticks([10",{"_index":1359,"t":{},"b":{"5":{},"11":{}}}],["xticks(fontsize=12",{"_index":1429,"t":{},"b":{"5":{},"7":{},"22":{},"24":{}}}],["xticks(idxshow",{"_index":3612,"t":{},"b":{"24":{}}}],["xtrain",{"_index":1612,"t":{},"b":{"6":{},"7":{}}}],["xx",{"_index":3379,"t":{},"b":{"23":{},"24":{}}}],["xx.horsepow",{"_index":3423,"t":{},"b":{"23":{}}}],["y",{"_index":825,"t":{},"b":{"4":{},"5":{},"6":{},"7":{},"8":{},"10":{},"11":{},"12":{},"13":{},"14":{},"15":{},"16":{},"17":{},"20":{},"21":{},"22":{},"23":{},"24":{},"25":{},"26":{}}}],["y)0.0",{"_index":3671,"t":{},"b":{"25":{}}}],["y)0.1",{"_index":3756,"t":{},"b":{"26":{}}}],["y)0.15",{"_index":3746,"t":{},"b":{"26":{}}}],["y)machine{constantregressor",{"_index":896,"t":{},"b":{"4":{}}}],["y)machine{decisiontreeclassifi",{"_index":2242,"t":{},"b":{"13":{}}}],["y)machine{knnregressor",{"_index":2016,"t":{},"b":{"10":{}}}],["y)machine{logisticclassifi",{"_index":3233,"t":{},"b":{"22":{}}}],["y)machine{xgboostclassifi",{"_index":1236,"t":{},"b":{"5":{}}}],["y)nodalmachin",{"_index":2695,"t":{},"b":{"17":{}}}],["y0",{"_index":2738,"t":{},"b":{"17":{}}}],["y1",{"_index":2559,"t":{},"b":{"17":{}}}],["y11",{"_index":2664,"t":{},"b":{"17":{}}}],["y12",{"_index":2666,"t":{},"b":{"17":{}}}],["y13",{"_index":2668,"t":{},"b":{"17":{}}}],["y1_oo",{"_index":2670,"t":{},"b":{"17":{}}}],["y2",{"_index":2563,"t":{},"b":{"17":{}}}],["y21",{"_index":2678,"t":{},"b":{"17":{}}}],["y22",{"_index":2680,"t":{},"b":{"17":{}}}],["y23",{"_index":2682,"t":{},"b":{"17":{}}}],["y2_oo",{"_index":2684,"t":{},"b":{"17":{}}}],["y[1:3",{"_index":870,"t":{},"b":{"4":{},"5":{}}}],["y[test",{"_index":1438,"t":{},"b":{"5":{},"10":{},"13":{},"22":{},"24":{},"25":{}}}],["y[test])0.11590837511873998",{"_index":2021,"t":{},"b":{"10":{}}}],["y[test])0.26",{"_index":3688,"t":{},"b":{"25":{}}}],["y[test])0.29",{"_index":3677,"t":{},"b":{"25":{}}}],["y[test])0.3939854493135167",{"_index":935,"t":{},"b":{"4":{}}}],["y[test])0.7434211711306039",{"_index":3351,"t":{},"b":{"22":{}}}],["y[test])^2",{"_index":3414,"t":{},"b":{"23":{},"24":{}}}],["y[test])^223.493990895007986",{"_index":3378,"t":{},"b":{"23":{}}}],["y[train",{"_index":1615,"t":{},"b":{"6":{}}}],["yc",{"_index":1715,"t":{},"b":{"7":{}}}],["ye",{"_index":3314,"t":{},"b":{"22":{},"25":{}}}],["yeah",{"_index":1539,"t":{},"b":{"6":{}}}],["year",{"_index":2990,"t":{},"b":{"20":{},"22":{},"24":{}}}],["yearbuilt",{"_index":843,"t":{},"b":{"4":{},"17":{}}}],["yearremodadd",{"_index":842,"t":{},"b":{"4":{},"17":{}}}],["yhat",{"_index":2208,"t":{},"b":{"12":{},"17":{}}}],["yhatmyaveragetwo",{"_index":2575,"t":{},"b":{"17":{}}}],["yhatmytwomodelstack",{"_index":2733,"t":{},"b":{"17":{}}}],["yhatonehundredmodel",{"_index":2214,"t":{},"b":{"12":{}}}],["ylabel(\"amplitud",{"_index":3615,"t":{},"b":{"24":{}}}],["ylabel(\"bag",{"_index":2187,"t":{},"b":{"11":{},"16":{}}}],["ylabel(\"col",{"_index":1428,"t":{},"b":{"5":{}}}],["ylabel(\"dens",{"_index":3526,"t":{},"b":{"24":{}}}],["ylabel(\"hingeloss",{"_index":1358,"t":{},"b":{"5":{}}}],["ylabel(\"minimum",{"_index":1396,"t":{},"b":{"5":{}}}],["ylabel(\"misclassif",{"_index":2470,"t":{},"b":{"16":{}}}],["ylabel(\"mpg",{"_index":3372,"t":{},"b":{"23":{}}}],["ylabel(\"numb",{"_index":2095,"t":{},"b":{"10":{},"22":{}}}],["ylabel(\"pca",{"_index":1858,"t":{},"b":{"7":{},"19":{}}}],["ylabel(\"ratio",{"_index":2912,"t":{},"b":{"19":{}}}],["ylabel(\"residu",{"_index":3546,"t":{},"b":{"24":{}}}],["ylabel(\"salari",{"_index":3521,"t":{},"b":{"24":{}}}],["ylabel(\"tru",{"_index":3358,"t":{},"b":{"22":{}}}],["ylabel(\"volum",{"_index":3213,"t":{},"b":{"22":{}}}],["ylim",{"_index":3547,"t":{},"b":{"24":{}}}],["ylim([0",{"_index":2471,"t":{},"b":{"16":{}}}],["ylim([4",{"_index":2157,"t":{},"b":{"11":{}}}],["ym1",{"_index":3731,"t":{},"b":{"26":{}}}],["ym2",{"_index":3732,"t":{},"b":{"26":{}}}],["you'd",{"_index":2245,"t":{},"b":{"13":{}}}],["you'r",{"_index":1000,"t":{},"b":{"4":{},"7":{},"18":{},"20":{}}}],["you'v",{"_index":994,"t":{},"b":{"4":{},"13":{}}}],["yourself",{"_index":633,"t":{},"b":{"2":{}}}],["ypred",{"_index":996,"t":{},"b":{"4":{},"25":{},"26":{}}}],["ypreds)0.16152078648356502",{"_index":999,"t":{},"b":{"4":{}}}],["yraw",{"_index":2629,"t":{},"b":{"17":{}}}],["yraw[idxsort",{"_index":2636,"t":{},"b":{"17":{}}}],["ys",{"_index":967,"t":{},"b":{"4":{},"12":{},"14":{},"15":{}}}],["ys)node",{"_index":2396,"t":{},"b":{"15":{}}}],["ysort",{"_index":2635,"t":{},"b":{"17":{}}}],["ytest",{"_index":1796,"t":{},"b":{"7":{}}}],["yticks(0.4:0.2:1",{"_index":2186,"t":{},"b":{"11":{}}}],["yticks(1.46:0.005:1.475",{"_index":1362,"t":{},"b":{"5":{}}}],["yticks(10:10:50",{"_index":3371,"t":{},"b":{"23":{}}}],["yticks([1",{"_index":2094,"t":{},"b":{"10":{}}}],["yticks(fontsize=12",{"_index":1398,"t":{},"b":{"5":{},"7":{},"16":{},"22":{},"24":{}}}],["ytrain",{"_index":1614,"t":{},"b":{"6":{},"7":{}}}],["ytrain)0.11371237458193979",{"_index":1673,"t":{},"b":{"6":{}}}],["ytrain)machine{mnpip",{"_index":1800,"t":{},"b":{"7":{}}}],["yy",{"_index":3382,"t":{},"b":{"23":{},"24":{}}}],["yy1",{"_index":3427,"t":{},"b":{"23":{}}}],["yy2",{"_index":3429,"t":{},"b":{"23":{}}}],["yy3",{"_index":3431,"t":{},"b":{"23":{}}}],["yy5",{"_index":3479,"t":{},"b":{"23":{}}}],["ŷ(rows=test",{"_index":997,"t":{},"b":{"4":{}}}],["ŷ(rows=test))0.019910338054336767",{"_index":2371,"t":{},"b":{"14":{}}}],["ŷ(rows=test))0.05425574766979042",{"_index":2373,"t":{},"b":{"14":{}}}],["ŷ(rows=test))0.12278602255214813",{"_index":1006,"t":{},"b":{"4":{}}}],["ŷ[1:3",{"_index":908,"t":{},"b":{"4":{}}}],["ŷ[1:3]3",{"_index":926,"t":{},"b":{"4":{},"22":{}}}],["ŷ[1]ŷ[1",{"_index":2265,"t":{},"b":{"13":{}}}],["ȳ[1",{"_index":2272,"t":{},"b":{"13":{}}}],["z",{"_index":974,"t":{},"b":{"4":{},"14":{},"15":{},"20":{}}}],["zip((mask1",{"_index":2928,"t":{},"b":{"19":{}}}],["zip(sch.nam",{"_index":1517,"t":{},"b":{"6":{},"7":{}}}],["zn",{"_index":181,"t":{},"b":{"1":{},"3":{},"21":{}}}],["zn]]5×2",{"_index":259,"t":{},"b":{"1":{}}}],["ẑ)node",{"_index":2364,"t":{},"b":{"14":{},"15":{}}}],["ẑ.machine.model.lambda",{"_index":2385,"t":{},"b":{"14":{}}}],["ẑ[:lambda",{"_index":2384,"t":{},"b":{"14":{}}}]],"pipeline":["stemmer"]};
+const PREVIEW_LOOKUP = {"0":{"t":"Handling categorical data","l":"/MLJTutorials/data/categorical/index.html"},"1":{"t":"Manipulating a DataFrame","l":"/MLJTutorials/data/dataframe/index.html"},"2":{"t":"Loading and elementary processing of data","l":"/MLJTutorials/data/loading/index.html"},"3":{"t":"Data interpretation: Scientific Types","l":"/MLJTutorials/data/scitype/index.html"},"4":{"t":"AMES","l":"/MLJTutorials/end-to-end/AMES/index.html"},"5":{"t":"Crabs with XGBoost","l":"/MLJTutorials/end-to-end/crabs-xgb/index.html"},"6":{"t":"Horse colic data","l":"/MLJTutorials/end-to-end/horse/index.html"},"7":{"t":"Wine","l":"/MLJTutorials/end-to-end/wine/index.html"},"8":{"t":"Choosing and evaluating a model","l":"/MLJTutorials/getting-started/choosing-a-model/index.html"},"9":{"t":"Composing models","l":"/MLJTutorials/getting-started/composing-models/index.html"},"10":{"t":"Ensemble models","l":"/MLJTutorials/getting-started/ensembles/index.html"},"11":{"t":"Ensemble models (2)","l":"/MLJTutorials/getting-started/ensembles-2/index.html"},"12":{"t":"Ensemble models - extended tutorial","l":"/MLJTutorials/getting-started/ensembles-3/index.html"},"13":{"t":"Fit, predict, transform","l":"/MLJTutorials/getting-started/fit-and-predict/index.html"},"14":{"t":"Learning networks","l":"/MLJTutorials/getting-started/learning-networks/index.html"},"15":{"t":"Learning networks 2","l":"/MLJTutorials/getting-started/learning-networks-2/index.html"},"16":{"t":"Tuning a model","l":"/MLJTutorials/getting-started/model-tuning/index.html"},"17":{"t":"Stacking","l":"/MLJTutorials/getting-started/stacking/index.html"},"18":{"t":"MLJ Tutorials","l":"/MLJTutorials/index.html"},"19":{"t":"Lab 10 - PCA and Clustering","l":"/MLJTutorials/isl/lab-10/index.html"},"20":{"t":"Lab 2","l":"/MLJTutorials/isl/lab-2/index.html"},"21":{"t":"Lab 3 - Linear Regression","l":"/MLJTutorials/isl/lab-3/index.html"},"22":{"t":"Lab 4 - Logistic Regression, LDA, QDA, KNN","l":"/MLJTutorials/isl/lab-4/index.html"},"23":{"t":"Lab 5 - Cross validation and the bootstrap","l":"/MLJTutorials/isl/lab-5/index.html"},"24":{"t":"Lab 6b - Ridge and Lasso regression","l":"/MLJTutorials/isl/lab-6b/index.html"},"25":{"t":"Lab 8 - Tree-based models","l":"/MLJTutorials/isl/lab-8/index.html"},"26":{"t":"Lab 9 - Support Vector Machine","l":"/MLJTutorials/isl/lab-9/index.html"},"27":{"t":"Search ⋅ MLJTutorials","l":"/MLJTutorials/search/index.html"}};
\ No newline at end of file
diff --git a/_literate/A-ensembles-3.jl b/_literate/A-ensembles-3.jl
new file mode 100644
index 00000000..e5a33bb5
--- /dev/null
+++ b/_literate/A-ensembles-3.jl
@@ -0,0 +1,87 @@
+# # Simple example of a homogeneous ensemble using learning networks
+
+# In this simple example, no bagging is used, so every atomic model
+# gets the same learned parameters, unless the atomic model training
+# algorithm has randomness, eg, DecisionTree with random subsampling
+# of features at nodes.
+
+# Note that MLJ has a built in model wrapper called `EnsembleModel`
+# for creating bagged ensembles with a few lines of code.
+
+# ## Definition of composite model type
+
+using MLJ, PyPlot
+import Statistics
+
+# learning network (composite model spec):
+
+Xs = source()
+ys = source(kind=:target)
+
+atom = @load DecisionTreeRegressor
+atom.n_subfeatures = 4 # to ensure diversity among trained atomic models
+
+machines = (machine(atom, Xs, ys) for i in 1:100)
+
+# overload `mean` for nodes:
+Statistics.mean(v...) = mean(v)
+Statistics.mean(v::AbstractVector{<:AbstractNode}) = node(mean, v...)
+
+yhat = mean([predict(m, Xs) for  m in machines]);
+
+
+# new composite model type and instance:
+
+one_hundred_models = @from_network OneHundredModels(atom=atom) <= yhat
+
+# ## Application to data
+
+X, y = @load_boston;
+
+# tune regularization parameter for a *single* tree:
+
+r = range(atom,
+          :min_samples_split,
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(atom, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+savefig(joinpath(@OUTPUT, "e1.svg")) # hide
+
+# \fig{e1.svg}
+
+# tune regularization parameter for all trees in ensemble simultaneously:
+
+r = range(one_hundred_models,
+          :(atom.min_samples_split),
+          lower=2,
+          upper=100, scale=:log)
+
+mach = machine(one_hundred_models, X, y)
+
+curve = learning_curve!(mach,
+                        range=r,
+                        measure=mav,
+                        resampling=CV(nfolds=9),
+                        verbosity=0)
+
+plot(curve.parameter_values, curve.measurements)
+xlabel(curve.parameter_name)
+
+savefig(joinpath(@OUTPUT, "e2.svg")) # hide
+
+# \fig{e2}
+
+#-
+
+PyPlot.close_figs() # hide
diff --git a/_literate/A-stacking.jl b/_literate/A-stacking.jl
new file mode 100644
index 00000000..7cf86f42
--- /dev/null
+++ b/_literate/A-stacking.jl
@@ -0,0 +1,405 @@
+# In stacking one blends the predictions of different regressors or
+# classifiers to gain, in some cases, better performance than naive
+# averaging or majority vote.
+
+# Here we illustrate how to build a two-model stack as an MLJ learning
+# network, which we export as a new stand-alone composite model
+# type `MyTwoStack`. This will make the stack that we build completely
+# re-usable (new data, new models) and means we can apply
+# meta-algorithms, such as performance evaluation and tuning, to the
+# stack, exaclty as we would for any other model.
+
+# Our main purpose here is to demonstrate the flexibility of MLJ's
+# composite model interface. Eventually, MLJ will provide built-in
+# composite types or macros to achieve the same results in a few
+# lines, which will suffice for routine stacking tasks.
+
+# After defining the `MyTwoStack` model type, we instantiate it for an
+# application to the Ames House Price data set.
+
+# ## Basic stacking using out-of-sample base learner predictions
+
+# A rather general stacking protocol was first described in a [1992
+# paper](https://www.sciencedirect.com/science/article/abs/pii/S0893608005800231)
+# by David Wolpert. For a generic introduction to the basic two-layer
+# stack described here, see [this blog
+# post](https://burakhimmetoglu.com/2016/12/01/stacking-models-for-improved-predictions/)
+# of Burak Himmetoglu.
+
+# A basic stack consists of a number of base learners (two, in this
+# illustration) and a single adjudicating model.
+
+# When a stacked model is called to make a prediction, the individual
+# predictions of the base learners are made the columns of an *input*
+# table for the adjudicating model, which then outputs the final
+# prediction. However, it is crucial to understand that the flow of
+# data *during training* is not the same.
+
+# The base model predictions used to train the adjudicating model are
+# *not* the predictions of the base learners fitted to all the
+# training data. Rather, to prevent the adjudicator giving too much
+# weight to the base learners with low *training* error, the input
+# data is first split into a number of folds (as in cross-validation),
+# a base learner is trained on each fold complement individually, and
+# corresponding predictions on the folds are spliced together to form
+# a full-length prediction called the *out-of-sample.prediction*.
+
+# For illustrative purposes we use just three folds. Each base learner
+# will get three separate machines, for training on each fold
+# complement, and a fourth machine, trained on all the supplied data,
+# for use in the prediction flow.
+
+# We build the learning network with dummy data at the source nodes,
+# so the reader inspect the workings of the network as it is built (by
+# calling `fit!` on nodes, and by calling the nodes themselves). As
+# usual, this data is not seen by the exported composite model type,
+# and the component models we choose are just default values for the
+# hyperparameters of the composite model.
+
+using MLJ, PyPlot
+MLJ.color_off() # hide
+import Random.seed!
+seed!(1234)
+
+# Some models we will use:
+
+linear = @load LinearRegressor pkg=MLJLinearModels
+ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01
+knn = @load KNNRegressor; knn.K = 4
+tree = @load DecisionTreeRegressor; min_samples_leaf=1
+forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500
+svm = @load SVMRegressor;
+
+# ### Warm-up exercise: Define a model type to average predictions
+
+# Let's define a composite model type `MyAverageTwo` that
+# averages the predictions of two deterministic regressors. Here's the learning network:
+
+X = source()
+y = source(kind=:target)
+
+model1 = linear
+model2 = knn
+
+m1 = machine(model1, X, y)
+y1 = predict(m1, X)
+
+m2 = machine(model2, X, y)
+y2 = predict(m2, X)
+
+yhat = 0.5*y1 + 0.5*y2
+
+# And the macro call to define `MyAverageTwo` and an instance `average_two`:
+
+avg = @from_network MyAverageTwo(regressor1=model1,
+                                 regressor2=model2) <= yhat
+
+# Evaluating this average model on the Boston data set, and comparing
+# with the base model predictions:
+
+function print_performance(model, data...)
+    e = evaluate(model, data...;
+                 resampling=CV(rng=1234, nfolds=8),
+                 measure=rms,
+                 verbosity=0)
+    μ = round(e.measurement[1], sigdigits=5)
+    ste = round(std(e.per_fold[1])/sqrt(8), digits=5)
+    println("\n $model = $μ ± $(2*ste)")
+end;
+
+X, y = @load_boston
+
+print_performance(linear, X, y)
+print_performance(knn, X, y)
+print_performance(avg, X, y)
+
+# ## Stacking proper
+# ### Helper functions:
+
+# To generate folds for generating out-of-sample predictions, we define
+
+folds(data, nfolds) =
+    partition(1:nrows(data), (1/nfolds for i in 1:(nfolds-1))...);
+
+# For example, we have:
+f = folds(1:10, 3)
+
+# In our learning network, the folds will depend on the input data,
+# which will be wrapped as a source node. We therefore need to
+# overload the `folds` function for nodes:
+
+folds(X::AbstractNode, nfolds) = node(XX -> folds(XX, nfolds), X);
+
+# It will also be convenient to use the MLJ method `restrict(X, f, i)`
+# that restricts data `X` to the `i`th element (fold) of `f`, and
+# `corestrict(X, f, i)` that restricts to the corresponding fold
+# complement (the concatenation of all but the `i`th
+# fold).
+
+# For example, we have:
+
+corestrict(string.(1:10), f, 2)
+
+# Overloading these functions for nodes:
+
+MLJ.restrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> restrict(XX, ff, i), X, f);
+MLJ.corestrict(X::AbstractNode, f::AbstractNode, i) =
+    node((XX, ff) -> corestrict(XX, ff, i), X, f);
+
+# All the other data manipulations we will need (`vcat`, `hcat`,
+# `MLJ.table`) are already overloaded to work with nodes.
+
+
+# ### Choose some test data (optional) and some component models (defaults for the composite model):
+
+figure(figsize=(8,6))
+steps(x) = x < -3/2 ? -1 : (x < 3/2 ? 0 : 1)
+x = Float64[-4, -1, 2, -3, 0, 3, -2, 1, 4]
+Xraw = (x = x, )
+yraw = steps.(x);
+idxsort = sortperm(x)
+xsort = x[idxsort]
+ysort = yraw[idxsort]
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yraw, ls="none", marker="o", label="data")
+xlim(-4.5, 4.5)
+legend()
+
+savefig(joinpath(@OUTPUT, "s1.svg")) # hide
+
+# \fig{s1.svg}
+
+# Some models to stack:
+
+model1 = linear
+model2 = knn
+
+# The adjudicating model:
+
+judge = linear
+
+
+# ### Define the training nodes
+
+# Let's instantiate some input and target source nodes for the
+# learning network, wrapping the play data defined above:
+
+# Wrapped as source node:
+
+X = source(Xraw)
+y = source(yraw; kind=:target)
+
+# Our first internal node represents the three folds (vectors of row
+# indices) for creating the out-of-sample predictions:
+
+f = folds(X, 3)
+f()
+
+# Constructing machines for training `model1` on each fold-complement:
+
+m11 = machine(model1, corestrict(X, f, 1), corestrict(y, f, 1))
+m12 = machine(model1, corestrict(X, f, 2), corestrict(y, f, 2))
+m13 = machine(model1, corestrict(X, f, 3), corestrict(y, f, 3))
+
+# Define each out-of-sample prediction of `model1`:
+
+y11 = predict(m11, restrict(X, f, 1));
+y12 = predict(m12, restrict(X, f, 2));
+y13 = predict(m13, restrict(X, f, 3));
+
+# Splice together the out-of-sample predictions for model1:
+
+y1_oos = vcat(y11, y12, y13);
+
+# Optionally, to check our network so far, we can fit and plot
+# `y1_oos`:
+
+fit!(y1_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y1_oos(), ls="none", marker="o", label="linear oos")
+
+savefig(joinpath(@OUTPUT, "s2.svg")) # hide
+
+# \fig{s2.svg}
+
+# We now repeat the procedure for the other model:
+
+m21 = machine(model2, corestrict(X, f, 1), corestrict(y, f, 1))
+m22 = machine(model2, corestrict(X, f, 2), corestrict(y, f, 2))
+m23 = machine(model2, corestrict(X, f, 3), corestrict(y, f, 3))
+y21 = predict(m21, restrict(X, f, 1));
+y22 = predict(m22, restrict(X, f, 2));
+y23 = predict(m23, restrict(X, f, 3));
+
+# And testing the knn out-of-sample prediction:
+
+y2_oos = vcat(y21, y22, y23);
+fit!(y2_oos, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, y2_oos(), ls="none", marker="o", label="knn oos")
+
+savefig(joinpath(@OUTPUT, "s3.svg")) # hide
+
+# \fig{s3.svg}
+
+# Now that we have the out-of-sample base learner predictions, we are
+# ready to merge them into the adjudicator's input table and construct
+# the machine for training the adjudicator:
+
+X_oos = MLJ.table(hcat(y1_oos, y2_oos))
+m_judge = machine(judge, X_oos, y)
+
+# Are we done with constructing machines? Well, not quite. Recall that
+# when use the stack to make predictions on new data, we will be
+# feeding the adjudicator ordinary predictions on the base
+# learners. But so far, we have only defined machines to train the
+# base learners on fold complements, not on the full data, which we do
+# now:
+
+m1 = machine(model1, X, y)
+m2 = machine(model2, X, y)
+
+
+# ### Define nodes still needed for prediction
+
+# To obtain the final prediction, `yhat`, we get the base learner
+# predictions, based on training with all data, and feed them to the
+# adjudicator:
+y1 = predict(m1, X);
+y2 = predict(m2, X);
+X_judge = MLJ.table(hcat(y1, y2))
+yhat = predict(m_judge, X_judge)
+
+# Let's check the final prediction node can be fit and called:
+fit!(yhat, verbosity=0)
+
+figure(figsize=(8,6))
+step(xsort, ysort, label="truth", where="mid")
+plot(x, yhat(), ls="none", marker="o", label="yhat")
+
+savefig(joinpath(@OUTPUT, "s4.svg")) # hide
+
+# \fig{s4}
+
+# Although of little statistical significance here, we note that
+# stacking gives a lower *training* error than naive averaging:
+
+e1 = rms(y1(), y())
+e2 = rms(y2(), y())
+emean = rms(0.5*y1() + 0.5*y2(), y())
+estack = rms(yhat(), y())
+@show e1 e2 emean estack;
+
+
+# ## Export the learning network as a new model type
+
+# The learning network (less the data wrapped in the source nodes)
+# amounts to a specification of a new composite model type for
+# two-model stacks, trained with three-fold resampling of base model
+# predictions. Let's create the new type `MyTwoModelStack`:
+
+@from_network MyTwoModelStack(regressor1=model1,
+                              regressor2=model2,
+                              judge=judge) <= yhat
+
+# And this completes the definition of our re-usable stacking model type.
+
+
+# ## Applying `MyTwoModelStack` to Ames House Price data
+
+# Without undertaking any hyperparameter optimization, we evaluate the
+# performance of a random forest and ridge regressor on the well-known
+# Ames House Prices data, and compare the performance with a stack
+# (and simple averaging) using the random forest and ridge regressors
+# as base learners. We then indicate some options for tuning the
+# stack.
+
+# #### Data pre-processing
+
+# Here we use a 12-feature reduced subset of the Ames House Price data
+# set:
+
+X0, y0 = @load_reduced_ames;
+
+# Inspect scitypes:
+
+s = schema(X0)
+(names=collect(s.names), scitypes=collect(s.scitypes)) |> pretty
+
+# Coerce counts and ordered factors to continuous:
+
+X1 = coerce(X0, :OverallQual => Continuous,
+            :GarageCars => Continuous,
+            :YearRemodAdd => Continuous,
+            :YearBuilt => Continuous);
+
+# One-hot encode the multiclass:
+
+hot_mach = fit!(machine(OneHotEncoder(), X1), verbosity=0)
+X = transform(hot_mach, X1);
+
+# Check the final scitype:
+
+scitype(X)
+
+# transform the target:
+
+y1 = log.(y0)
+y = transform(fit!(machine(UnivariateStandardizer(), y1),
+                   verbosity=0), y1);
+
+
+# #### Define the stack and compare performance:
+
+avg = MyAverageTwo(regressor1=forest,
+                   regressor2=ridge)
+
+
+stack = MyTwoModelStack(regressor1=forest,
+                        regressor2=ridge,
+                        judge=linear)
+
+all_models = [forest, ridge, avg, stack];
+
+for model in all_models
+    print_performance(model, X, y)
+end;
+
+
+# #### Tuning a stack
+
+# A standard abuse of good data hygiene practice is to optimize stack
+# component models *separately* and then tune the adjudicating model
+# hyperparameters (using the same resampling of the data) with the
+# base learners fixed. Although more computationally expensive, better
+# generalization might be expected by applying tuning to the stack as
+# a whole, either simultaneously, or in in cheaper sequential
+# steps. Since our stack is a stand-alone model, this is readily
+# implemented.
+
+# As a proof of concept, let's see how to tune one of the base model
+# hyperparameters, based on performance of the stack as a whole:
+
+r = range(stack, :(regressor2.lambda), lower = 1, upper = 20, scale=:log)
+tuned_stack = TunedModel(model=stack,
+                         ranges=r,
+                         tuning=Grid(),
+                         measure=rms,
+                         resampling=Holdout())
+
+mach = fit!(machine(tuned_stack,  X, y), verbosity=0)
+best_stack = fitted_params(mach).best_model
+best_stack.regressor2.lambda
+
+# Let's evaluate the best stack using the same data resampling used to
+# the evaluate the assorted untuned models earlier (now we are neglecting
+# data hygeine!):
+
+print_performance(best_stack, X, y)
+
+PyPlot.close_figs() # hide
diff --git a/getting-started/ensembles-3.md b/getting-started/ensembles-3.md
new file mode 100644
index 00000000..1b4e892f
--- /dev/null
+++ b/getting-started/ensembles-3.md
@@ -0,0 +1,6 @@
+@def hascode = true
+@def showall = true
+
+# Ensemble models - extended tutorial
+
+\tutorial{A-ensembles-3}
diff --git a/getting-started/stacking.md b/getting-started/stacking.md
new file mode 100644
index 00000000..dada2faa
--- /dev/null
+++ b/getting-started/stacking.md
@@ -0,0 +1,6 @@
+@def hascode = true
+@def showall = true
+
+# Stacking
+
+\tutorial{A-stacking}
diff --git a/index.md b/index.md
index 342349da..6afc59ac 100644
--- a/index.md
+++ b/index.md
@@ -37,9 +37,11 @@ If you are new to MLJ but are familiar with Julia and with Machine Learning, we
 1. How to [tune models](/getting-started/model-tuning/)
 1. How to [ensemble models](/getting-started/ensembles/)
 1. How to [ensemble models (2)](/getting-started/ensembles-2/)
+1. More on [ensembles](/getting-started/ensembles-3/)
 1. How to [compose models](/getting-started/composing-models/)
 1. How to build a [learning network](/getting-started/learning-networks/)
 1. How to [create models](/getting-started/learning-networks-2/) from learning networks
+1. An extended tutorial on [stacking](/getting-started/stacking/)
 
 Additionally, you can refer to the [documentation](https://alan-turing-institute.github.io/MLJ.jl/stable/) for more detailed information.