Description:

Scikit-learn is a machine learning library written in Python. It is designed to be simple and efficient, useful to both experts and non-experts, and reusable in a variety of contexts. The primary aim of the project is to provide a compendium of efficient implementations of classic, well-established machine learning algorithms. Among other things, it includes classical supervised and unsupervised learning algorithms, tools for model evaluation and selection, as well as tools for preprocessing and feature engineering.

Changes to previous version:

Update for 0.18 .1

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows

Data Formats: Agnostic

Tags: Machine Learning, Data Mining

Archive: download here

Other available revisons

Version	Changelog	Date
0.18.1	Update for 0.18 .1	November 28, 2016, 17:45:27
0.17.1	Update for 0.17.1	July 28, 2016, 20:05:12
0.14.1	Update for 0.14.1	October 4, 2013, 15:01:45
0.13.1	Update for 0.13.1	February 23, 2013, 18:00:14
0.12	Initial Announcement on mloss.org.	September 7, 2012, 17:38:55
0.9	Initial Announcement on mloss.org.	October 3, 2011, 08:59:42
0.1	Initial Announcement on mloss.org.	March 19, 2010, 08:14:29

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