1.18.0

• Enhancement
  • Allow users to inform a Placeholder value in imputer learner
• New
  • Add Normalized Discount Cumulative Gain evaluator
• Bug Fix
  • Fix some sklearn related warnings
  • Fix get_recovery logic in make_confounded_data method
• Documentation
  • Add target_categorizer documentation

1.17.0

• Enhancement
  • Allow users to set a gap between training and holdout in time splitters
  • Raise Errors instead of use asserts
• New
  • Support pipelines with duplicated learners
  • Add stratified split method
• Bug Fix
  • Fix space_time_split holdout
  • Fix compatibility with newer shap version

1.16.0

• Enhancement
  • Improve split evaluator to avoid unexpected errors
• New
  • Now users can install only the set of requirements they need
  • Add Target encoding learner
  • Add PR AUC and rename AUC evaluator to ROC AUC
• Bug Fix
  • Fix bug with space_time_split_dataset fn
• Documentation
  • Update space time split DOCSTRING to match the actual behaviour
  • Add more tutorials(Pydata)

1.15.1

[1.15.1] - 2019-08-16

• Enhancement
  • Now learners that have a model exposes it in the logs as object key

1.15.0

• Enhancement
  • Make custom_transformer a pure function
  • Remove unused requirements
• New
  • Now features created by one hot enconding can be used in the next steps of pipeline
  • Shap multiclass support
  • Custom model pipeline
• Bug Fix
  • Fix the way one hot encoding handle nans
• Documentation
  • Minor fix flake8 documentation to make it work in other shells
  • Fix fbeta_score_evaluator docstring
  • Fix typo on onehot_categorizer
  • New tutorial from meetup presentation

1.14.2

Bug
- Remove unused package

1.13.5

Bug
- Remove unused package

1.14.1

• Bug
  • Fix packages upper bound version

1.13.4

• Bug
  • Fix packages upper bound version

1.14.0

• Enhancement
  • Validator accepts predict_oof as argument
• New
  • Add CatBoosting regressor
  • Data corruption(Macacaos)
• Documentation
  • Multiple fixes in the documentation
  • Add Contribution guide