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
bash
pip install woeboost