index.rst

scikits.learn: machine learning in Python

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Easy-to-use and general-purpose machine learning in Python

scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib).

It aims to provide simple and efficient solutions to learning problems that are accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.

Features:	Solid: :ref:`supervised-learning`: :ref:`svm`, :ref:`linear_model`. Work in progress: :ref:`unsupervised-learning`: :ref:`clustering`, :ref:`mixture`, manifold learning, :ref:`ICA <ICA>`, :ref:`gaussian_process` Planed: Gaussian graphical models, matrix factorization
License:	Open source, commercially usable: BSD license (3 clause)

Note

This document describes scikits.learn |release|. For other versions and printable format, see :ref:`documentation_resources`.

User Guide

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   contents

Example Gallery

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   auto_examples/index

Development

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   developers/index
   developers/neighbors
   performance
   about