v0.1.7

MLJScikitLearnInterface v0.1.7

Diff since v0.1.6

Merged pull requests:

• Fix wrong is_wrapper trait (#22) (@ablaom)
• For a 0.1.7 release (#23) (@ablaom)

v0.1.6

MLJScikitLearnInterface v0.1.6

Diff since v0.1.5

Closed issues:

• Add max_samples parameter for RamdomForestClassifier (#13)
• no method matching _process_model_def(::Expr) when importing (#21)

Merged pull requests:

• Add max samples and ccp_alpha parameters to RandomForest models (#14) (@ablaom)
• For a 0.1.6 release (#15) (@ablaom)
• Readme up (#16) (@OkonSamuel)
• update args passed to _process_model_def (#19) (@OkonSamuel)
• Readmeup (#20) (@OkonSamuel)

v0.1.5

MLJScikitLearnInterface v0.1.5

Diff since v0.1.4

Closed issues:

• code repeatition in tests (#9)
• fitting of unsupervised models fails (#10)

Merged pull requests:

• fixed error in fitting unsupervised skmodels (#11) (@OkonSamuel)

v0.1.4

MLJScikitLearnInterface v0.1.4

Diff since v0.1.3

Merged pull requests:

• For a 0.1.4 release - bump [compat] MLJModelInterface="0.3" (#8) (@ablaom)

v0.1.3

MLJScikitLearnInterface v0.1.3

Diff since v0.1.2

Merged pull requests:

• Revert package_name to "ScikitLearn", keeping load_path as "MLJScikitLearnInterface..." (#5) (@ablaom)
• For 0.1.3 release (#6) (@ablaom)

v0.1.2

MLJScikitLearnInterface v0.1.2

Diff since v0.1.1

v0.1.1

MLJScikitLearnInterface v0.1.1

Diff since v0.1.0

Merged pull requests:

• fix load_path: MLJScikitLearn -> MLJScikitLearnInterface (#1) (@ablaom)
• bump (#3) (@ablaom)

v0.1.0

MLJScikitLearnInterface v0.1.0