MLJ

A Machine Learning Toolbox for Julia

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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](https://JuliaAI.github.io/MLJ.jl/stable/model_browser/#Model-Browser) written in Julia and other languages. The MLJ.jl package is an umbrella package for components distributed in a number of [other packages](https://juliaml.ai/ecosystem). **New to MLJ?** Start [here](https://juliaml.ai). **Documentation** is [here](https://JuliaAI.github.io/MLJ.jl/stable/). **Integrating an existing machine learning model into the MLJ framework?** Start [here](https://juliaai.github.io/MLJModelInterface.jl/stable/).