scikit-learn-extra documentation

scikit-learn-extra is a Python module for machine learning that extends scikit-learn. It includes algorithms that are useful but do not satisfy the scikit-learn inclusion criteria, for instance due to their novelty or lower citation number.

Documentation

• Installation
  • Dependencies
  • User installation
• User guide
  • 1. EigenPro for Regression and Classification
  • 2. Clustering with KMedoids, CLARA and Common-nearest-neighbors
  • 3. Robust algorithms for Regression, Classification and Clustering
  • 4. Kernel map approximation for faster kernel methods
• scikit-learn-extra API
  • Kernel approximation
  • EigenPro
  • Clustering
  • Robust

Examples

• General examples
• Cluster
• Eigenpro
• Kernel approximation
• Robust

Project

• Contributing
  • How to Contribute
  • Guidelines
  • Running Tests
  • Easy Issues / Getting Started
• Changelog
  • Unreleased
  • Version 0.2.0