Download
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework.
Features
- Around 150 Julia and Python models accessed through a uniform interface
- Pipelines and FeatureUnions
- Cross-validation
- Hyperparameter tuning
- DataFrames support
- Documentation available
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow ScikitLearn.jl
Other Useful Business Software
Go From AI Idea to AI App Fast
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ScikitLearn.jl!
