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Merged
merged 3 commits into from
Nov 7, 2023
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DOC - Add logo to skglm #204

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781ffc3
add logo to readme
mathurinm Nov 7, 2023
fa98910
``images`` ---> ``doc/_static``
Badr-MOUFAD Nov 7, 2023
1fe6503
add logo to docs & adjust color theme
Badr-MOUFAD Nov 7, 2023
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7 changes: 4 additions & 3 deletions README.md
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<section align="center">

# ``skglm``
<img src="doc/_static/images/logo.svg" alt="skglm logo" width="34%" align="center"/>

## A fast ⚡ and modular ⚒️ scikit-learn replacement for sparse GLMs

</section>

![build](https://github.com/scikit-learn-contrib/skglm/workflows/pytest/badge.svg)
![License](https://img.shields.io/badge/License-BSD_3--Clause-blue.svg)
[![Downloads](https://static.pepy.tech/badge/skglm)](https://pepy.tech/project/skglm)
[![Downloads](https://static.pepy.tech/badge/skglm/month)](https://pepy.tech/project/skglm)
[![PyPI version](https://badge.fury.io/py/skglm.svg)](https://pypi.org/project/skglm/)


</section>


``skglm`` is a Python package that offers **fast estimators** for sparse Generalized Linear Models (GLMs) that are **100% compatible with ``scikit-learn``**. It is **highly flexible** and supports a wide range of GLMs.
You get to choose from ``skglm``'s already-made estimators or **customize your own** by combining the available datafits and penalties.

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