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v0.1.0 - Initial Beta Release

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@xRiskLab xRiskLab released this 07 Jun 20:29
· 110 commits to main since this release
v0.1.0
8b85ab3

FastWoe v0.1.0 - Initial Beta Release

Fast Weight of Evidence (WOE) encoding and inference

✨ Features

  • Core WOE Implementation: Fast encoding using scikit-learn's TargetEncoder
  • Statistical Rigor: MLE-based standard errors and confidence intervals
  • High-Cardinality Support: WoePreprocessor for handling many categories
  • Cross-Version Compatibility: Python 3.9-3.12, sklearn 1.3.0+
  • Complete Documentation: Mathematical background and examples

📋 Requirements

  • Python 3.9+
  • scikit-learn 1.3.0+
  • pandas, numpy, scipy

🚀 Installation

pip install git+https://github.com/xRiskLab/fastwoe.git@v0.1.0

Note

This is a beta release. The API may change before v1.0.0.

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