MLJ.jl
A Julia machine learning framework
Install / Use
/learn @JuliaAI/MLJ.jlREADME
<div align="center">
<img src="material/MLJLogo2.svg" alt="MLJ" width="200">
</div>
<h2 align="center">A Machine Learning Toolbox for Julia
<p align="center">
<a href="https://github.com/JuliaAI/MLJ.jl/actions">
<img src="https://github.com/JuliaAI/MLJ.jl/workflows/CI/badge.svg"
alt="Build Status">
</a>
<a href="https://JuliaAI.github.io/MLJ.jl/dev/">
<img src="https://img.shields.io/badge/docs-dev-blue.svg"
alt="dev documentation">
</a>
<a href="https://JuliaAI.github.io/MLJ.jl/stable/">
<img src="https://img.shields.io/badge/docs-stable-blue.svg"
alt="stable documentation">
</a>
<a href="https://opensource.org/licenses/MIT">
<img src="https://img.shields.io/badge/License-MIT-yelllow"
alt="bibtex">
</a>
<a href="BIBLIOGRAPHY.md">
<img src="https://img.shields.io/badge/cite-BibTeX-blue"
alt="bibtex">
</a>
</p>
</h2>
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing over 200 machine learning models written in Julia and other languages.
The MLJ.jl package is an umbrella package for components distributed in a number of other packages.
New to MLJ? Start here.
Documentation is here.
Integrating an existing machine learning model into the MLJ framework? Start here.
