A diagnostic toolkit for evaluating machine learning models. MLGuard provides plug-and-play checks for class imbalance, overfitting, multicollinearity, bias detection, and more — built on top of scikit-learn, pandas, and statsmodels.
Project description
MLGuard
Lightweight Python library for automated machine learning model checks:
- Bias Detection (group fairness check)
- Class Imbalance Detection
- Multicollinearity Detection
- Overfitting/Underfitting Detection (using learning curves)
visit Docs
https://mlguard-tool.tiiny.site/
Installation
pip install mlguard
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