WoeBoost Version 1.0.1

WoeBoost Version 1.0.0

🔄 Key Changes

• Enhanced formatting for README.md, including new badges and improved layout.
• Updated links to ensure compatibility with GitHub and PyPI views.
• Adjusted figure defaults in feature contributions plots for better rendering in notebooks.
• Added icons to highlight key features.

📚 Documentation Updates

• Improved consistency in linking technical notes and module details and update of formulas.

WoeBoost Version 1.0.0

WoeBoost Version 1.0.0

This is the initial release of WoeBoost, a gradient boosting framework leveraging the concept of Weight of Evidence (WOE).

Key Features

• WoeLearner: Supports feature binning, monotonicity constraints, and WOE transformations.
• WoeBoostClassifier: Boosted WOE-based scoring with early stopping and deciban outputs.
• Explainer Tools: Partial Dependence Plots (PDP), evidence analysis, and WOE inference.

Documentation

• Module-specific documentation (learner.py, classifier.py, explainer.py).
• Index file for navigation.

Quality Assurance

• Comprehensive pytest-based tests.
• Pre-commit hooks for style and consistency.

Installation

pip install woeboost