scikit-learn-extra
latest

Documentation

  • Installation
  • User guide
  • scikit-learn-extra API

Examples

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

Project

  • Contributing
  • Changelog
scikit-learn-extra
  • scikit-learn-extra documentation
  • Edit on GitHub

scikit-learn-extra documentationΒΆ

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
    • Version 0.3.0
    • Version 0.2.0
Next

© Copyright 2019, scikit-learn-extra developpers. Revision 627f97b0.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: latest
Versions
latest
stable
Downloads
On Read the Docs
Project Home
Builds