4.0.0 - Add support for python 3.10 and 3.11

This release is just a major bump of libraries. Its main goal was to add support for Python 3.10 and 3.11. We bumped some libraries necessary to achieve that. There wasn't any breaking change in the fklearn modules but their expected behavior can change given that some of the dependent packages were bumped a few major versions.

• Library version changes:
  • Increase the minimum and allow greater versions Sphinx | Before: Sphinx>=1.7.1,<2, Now: Sphinx>=5,<6
  • Reduce the maximum allowed version of shap | Before: shap>=0.43,<1, Now: shap>=0.43,<0.45

4.0.0rc1 - Add support for Python 3.10

Update changelog

4.0.0rc0 - Bump new fklearn version to support Python 3.11

This release is just a major bump of libraries. Its main goal was to add support for Python 3.11.

3.0.0 - Dropping support for python 3.6 and 3.7

This release is just a major bump of libraries. Its main goal was to drop the support for Python 3.6 and 3.7. We bumped all libraries necessary to achieve that. There wasn't any breaking change in the fklearn modules but their expected behavior can change given that many of the dependent packages were bumped a few major versions.

2.4.0a0

An alpha release attempting to remove the dependency from scikit-learn at version 0.24. New macs with M1 chips requires newer versions of a few libraries and scikit 0.24 is pinned at very old versions. This release also fixes some tests.

2.3.1

What's Changed

• Bugfix
  • Remove incorrect lightgbm import from common paths

Full Changelog: 2.3.0...2.3.1

2.3.0

What's Changed

• Enhancement
  • Bump maximum allowed scikit-learn
  • Add optional weight_column argument for evaluators
  • Change default of min_df from 20 to 1 on TfidfVectorizer
  • Include new optional LGBM parameters to lgbm_classification_learner
• Maintenance
  • Move from CircleCI to Github Actions

Full Changelog: 2.2.1...2.3.0

2.3.0rc0

Release candidate for 2.3.0.

Full Changelog: 2.2.1...2.3.0rc0

2.2.1

• Bug Fix
  • Including a necessary init file to allow the import of the causal cate learners.
  • Fix a docstring issue where the description of causal learners were not showing all parameters.

2.2.0

• Enhancement
  • Including Classification S-Learner model to the causal cate learning library.
• Bug Fix
  • Fix validator behavior when receiving data containing gaps and a time based split function that
    could generate empty
    training and testing folds and then break.
    The argument drop_empty_folds can be set to True to drop invalid folds from validation and
    store them in the
    log.
• Documentation
  • Including Classification S-learner documentation and changing validator documentation to
    reflect changes.