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Releases: JuliaAI/MLJBase.jl

v0.15.4

04 Nov 02:05
23407a4
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MLJBase v0.15.4

Diff since v0.15.3

Closed issues:

  • reduce overhead of fit! over update (#151)
  • v0.14.8 not usable (#436)
  • log_cosh distance overflow (#437)

Merged pull requests:

v0.15.3

13 Oct 02:06
c58bcfc
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MLJBase v0.15.3

Diff since v0.15.2

  • update package compatibility to allow use of Distibutions 0.24

  • change (experimental) serialization API (#429)

Closed issues:

  • Add oversampling (#323)
  • Cannot read stream serialized with a newer version of Julia. Got data version 11 > current version 10 (#425)

Merged pull requests:

v0.15.2

04 Sep 02:05
5e5d1cd
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MLJBase v0.15.2

Diff since v0.15.1

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v0.15.1

30 Aug 21:03
8ea3d48
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MLJBase v0.15.1

Diff since v0.15.0

Closed issues:

  • Re-instate julia 1.5 testing (#389)

Merged pull requests:

v0.15.0

28 Aug 03:05
0251875
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MLJBase v0.15.0

  • (enhancement) Add fitted_params_per_fold and report_per_fold properties to the object returned by evaluate/evaluate! to give user access to the outcomes of training for each train/test pair in resampling (#400, JuliaAI/MLJ.jl#616)

  • (enhancement) Implement logpdf for UnivariateFinite distributions (#411)

  • (code organization) Remove ScientificTypes as explicit dependency (#403)

  • (bug fix) Fix bug related to creating new composite models by hand in special case of non-model hyper-parameters (not an issue with @pipeline or @from_network models). Introduce new return! syntax for doing this and deprecate calling of learning network machines ( #390, #391, #377)

  • (breaking) Change the behavior of evaluate/evaluate! so that weights are only passed to measures if explicitly passed using the key-word argument weights=... (#405)

Diff since v0.14.9

Closed issues:

  • possible test failure (again!) in upcoming Julia version 1.5 (#286)
  • Prohibit distinct fields in composite models pointing to two models that are === (#377)
  • Update logic flawed in case of composite models with non-model fields (#390)
  • Towards a 0.15 release (#404)
  • Decouple interface points for training weights and weights used in measures. (#405)
  • Release that doesn't have ScientificTypes as a hard dep? (#412)

Merged pull requests:

  • Fix update logic for Composite models (#391) (@ablaom)
  • Add report_per_fold and machine_per_fold to results of evaluate!() (#400) (@ablaom)
  • Remove ScientificTypes as explicit dependency and as a test dependency (#403) (@ablaom)
  • CompatHelper: open PRs against dev (#407) (@DilumAluthge)
  • Add logpdf method for UnivariateFinite (#411) (@cscherrer)
  • Decouple training weights from evaluation weights (#413) (@ablaom)
  • For a 0.15 release (#417) (@ablaom)

v0.14.9

25 Aug 01:04
cc09983
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MLJBase v0.14.9

Diff since v0.14.8

Merged pull requests:

v0.14.8

21 Aug 06:05
c1cb718
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MLJBase v0.14.8

Diff since v0.14.7

Closed issues:

  • Improve error messages for data type problems within a pipeline (#358)

Merged pull requests:

  • Remove redundant references to Scientific type. (#387) (@ablaom)
  • Add the :predict_joint operation, and add composite and surrogate types for JointProbabilistic (#392) (@DilumAluthge)
  • Make some code more concise (#393) (@DilumAluthge)
  • Eliminate multiple entries for implement_methods trait (#394) (@ablaom)
  • Improve error message for exception thrown by composite models (#396) (@ablaom)
  • For a 0.14.8 release (#397) (@ablaom)

v0.14.7

14 Aug 01:04
2c22918
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MLJBase v0.14.7

Diff since v0.14.6

Closed issues:

  • Issue to trigger new releases (#341)
  • trigger new release (#347)
  • Problems with type in range constructor (again) (#372)
  • make_regression doc-string has some formatting issues (#374)

Merged pull requests:

v0.14.6

26 Jul 23:03
11f1ab1
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MLJBase v0.14.6

Diff since v0.14.5

Merged pull requests:

v0.14.5

22 Jul 23:03
359635d
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MLJBase v0.14.5

Diff since v0.14.4

Merged pull requests: