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CHANGELOG.md

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Changelog

[1.22.2] - 2021-09-01

  • Bug fix
    • Remove cloudpickle from requirements

[1.22.1] - 2021-09-01

  • Bug fix
    • Remove cloudpickle from parallel_validator

[1.22.0] - 2021-02-09

  • Enhancement
    • Add verbose method to validator and parallel_validator
    • Add column_duplicator decorator to value_mapper
  • Bug Fix
    • Fix Spatial LC check
    • Fix circleci

[1.21.0] - 2020-10-02

  • Enhancement
    • Now transformers can create a new column instead of replace the input
  • Bug Fix
    • Make requirements more flexible to cover the latest releases
    • split_evaluator_extractor now supports eval_name parameter
    • Fixed drop_first_column behaviour in onehot categorizer
  • New
    • Add learner to calibrate predictions based on a fairness metric
  • Documentation
    • Fixed docstrings for reverse_time_learning_curve_splitter and feature_importance_backward_selection

[1.20.0] - 2020-07-13

  • Enhancement
    • Now Catboost learner is pickable

[1.19.0] - 2020-06-17

  • Enhancement
    • Improve space_time_split_dataset performance

[1.18.0] - 2020-05-08

  • 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] - 2020-02-28

  • 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

[1.16.1] - 2020-01-02

  • Enhancement
    • Increasing isotonic calibration regression by adding upper and lower bounds.

[1.16.0] - 2019-10-07

  • 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] - 2019-08-16

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

[1.15.0] - 2019-08-12

  • 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

[1.14.0] - 2019-04-30

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

[1.13.4] - 2019-04-25

  • Enhancement
    • Add predict_oof as argument to validator

[1.13.3] - 2019-04-24

  • Bug Fix
    • Fix warning in placeholder_imputer

[1.13.2] - 2019-04-10

  • Bug Fix
    • Fixing missing warner when there is no row with missing values

[1.13.1] - 2019-04-10

  • New
    • Add missing warner transformation

[1.13.0] - 2019-04-01

  • New
    • Add public version code