scikit-learn

Introduction

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Usage

Compute Systems Invocation Version(s)
Red Hat Linux (64-bit)

% /util/bin/python3
Python 3.3.0 (default, Mar 26 2013, 09:56:30) 
[GCC 4.1.2 20080704 (Red Hat 4.1.2-52)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from sklearn import *
>>> quit()

0.16.1 (default)

People

  1. Varun Chandola, instructor

References

  1. http://en.wikipedia.org/wiki/Scikit-learn
  2. http://scikit-learn.org/stable/