Metadata-Version: 2.4
Name: feateng
Version: 0.3.0
Summary: A feature engineering helper library
Home-page: https://github.com/Sanchitgg/Data_Mat
Author: Sanchitgg
Author-email: sanchitgg2005@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
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# feateng 🚀
*A lightweight Python library to simplify feature engineering for machine learning.*

[![PyPI version](https://img.shields.io/pypi/v/feateng.svg)](https://pypi.org/project/feateng/)
[![Python versions](https://img.shields.io/pypi/pyversions/feateng.svg)](https://pypi.org/project/feateng/)
[![License](https://img.shields.io/github/license/yourusername/feateng.svg)](LICENSE)

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## 📌 Features
- 🔧 **Target Cleaning & Transformation**  
  Handle missing values, encode categorical targets, or scale numerical targets with one function.

- 📊 **Skewness-Based Transformations**  
  Automatically applies log, cube, or square transformations based on skewness.

- 🧮 **Mutual Information Scoring**  
  Calculate MI scores for both **classification** and **regression** problems with automatic detection.

- 📈 **Visualization**  
  Easily visualize distributions of transformed features.

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## 📦 Installation
Install directly from PyPI:

```bash
pip install feateng
