Download
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 about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization.
Features
- A Machine Learning Framework for Julia
- Documentation available
- Integrate an existing machine learning model into the MLJ framework
- Examples available
- Simple User Defined Models
- Customization and Extension
- Meta-algorithms
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow MLJ.jl
Other Useful Business Software
Deploy Apps in Seconds with Cloud Run
Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of MLJ.jl!
