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WoeBoost Version 1.0.0
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@xRiskLab xRiskLab released this 08 Dec 17:39
· 3 commits to main since this release
v1.0.0
0afd83d

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
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