Metadata-Version: 2.4
Name: imlightgbm
Version: 0.1.2
Summary: LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification
Author: RektPunk
Author-email: RektPunk <rektpunk@gmail.com>
License-Expression: MIT
Requires-Dist: lightgbm>=4.5.0
Requires-Dist: scikit-learn>=1.5.2
Requires-Python: >=3.10
Project-URL: repository, https://github.com/RektPunk/Imbalance-LightGBM
Description-Content-Type: text/markdown

<div style="text-align: center;">
  <img src="https://capsule-render.vercel.app/api?type=transparent&height=150&color=gradient&text=imlightgbm&fontColor=0047AB&section=header&reversal=false&fontSize=80">
</div>

LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification.
Try it here:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RektPunk/Imbalance-LightGBM/blob/main/examples/notebook.ipynb)

## Installation

```bash
pip install imlightgbm
```

## Acknowledgements

This repository would not exist without the excellent work from:

- [LightGBM](https://github.com/microsoft/LightGBM)
- [Imbalance-XGBoost](https://github.com/jhwjhw0123/Imbalance-XGBoost)
