Metadata-Version: 2.1
Name: mlguard
Version: 0.1.2
Summary: 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.
Home-page: https://github.com/HDJadeja/mlguard
Author: Hetrajsinh Jadeja
Author-email: hetrajadeja01@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: statsmodels

# 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)

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## visit Docs 
https://mlguard-tool.tiiny.site/


## Installation

```bash
pip install mlguard



