A Machine Learning Toolbox for Julia
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.