v0.5.1

v0.5.1 - 2024-11-27

Full changelog

Features

• String Targets Support:** Added support for string targets, enhancing flexibility in handling diverse datasets. Special thanks to our new contributor ww-jermaine for the efforts on this feature (issue #27).
• Out-of-Bag Calibration: Introduced support for out-of-bag calibration when using random forests from sklearn, enabling improved calibration techniques directly within ensemble models. See the new notebook for examples.
• Documentation Enhancements: Updated and refined documentation, including fixes to existing sections and the addition of doctests for helper functions to ensure accuracy and reliability.
• Minor updates: Added a calibrated parameter to the predict and predict_proba methods to allow uncalibrated results.

Fixes

• Bug Fixes: Resolved multiple bugs to enhance stability and performance across the library.

What's Changed

• Implement support for string representation of classification targets by @ww-jermaine in #55
• Add support for string representation of classification targets in CalibratedExplainer class by @ww-jermaine in #57
• docs: remove duplicate Notes sections by @rudymatela in #60
• Add the first doctests on CI by @rudymatela in #61
• chore(deps): bump codecov/codecov-action from 4.6.0 to 5.0.2 by @dependabot in #63
• chore(deps): bump codecov/codecov-action from 5.0.2 to 5.0.7 by @dependabot in #64

New Contributors

• @ww-jermaine made their first contribution in #55

Full Changelog: v0.5.0...v0.5.1