2.1.0

• Enhancement
  • Add optional parameter return_eval_logs_on_train to the validator function,
    enabling it to return the evaluation logs for all training folds instead of just
    the first one
• Bug Fix
  • Fix import in pd_extractors.py for Python 3.10 compatibility
  • Set a minimal version of Python (3.6.2) for Fklearn
• Documentation
  • Fixing some typos, broken links and general improvement on the documentation

2.0.0

• Possible breaking changes
  • Allow greater versions of:
    • catboost, lightgbm, xgboost
    • joblib, numpy
    • shap, swifter
    • matplotlib, tqdm, scipy
  • Most of the breaking changes in the libs above were due to deprecation of support to Python 3.5 and older versions.
  • Libraries depending on fklearn can still restrict the versions of the aforementioned libraries, keeping the previous behavior (e.g., xgboost<0.90).

1.24.0

• New
  • Add causal curves summary
• Bug fix
  • Set correct learner name for learners with column_duplicatable decorator

1.23.0

• New
  • Add common causal evaluation techniques
  • Add methods to debias a dataframe with a treatment T and confounders X

1.22.2

Bug fix

• Remove cloudpickle from requirements
• Remove cloudpickle from parallel_validator

1.22.0

• 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

• 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

• Enhancement
  • Now Catboost learner is pickable

1.19.1

• Bug Fix
  • Be less restrictive with Numba requirements

1.19.0

• Enhancement
  • Improve space_time_split_dataset performance