Milk 0.5.3

A machine learning toolkit in Python
Milk wraps libsvm in Python code.

It also supports k-means clustering with an implementation that is careful not to use too much memory.

Main features:

  • Random forests
  • Self organising maps
  • SVMs. Using the libsvm solver with a pythonesque wrapper around it.
  • Stepwise Discriminant Analysis for feature selection.
  • Non-negative matrix factorisation
  • K-means using as little memory as possible.
  • Affinity propagation

last updated on:
June 21st, 2013, 19:28 GMT
price:
FREE!
developed by:
Luis Pedro Coelho
homepage:
luispedro.org
license type:
MIT License
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
category:
C: \ Scientific/Engineering \ Human Machine Interfaces

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What's New in version 0.5.1
  • Added subspace projection kNN.
  • Export pdist in milk namespace.
  • Added Eigen to source distribution.
  • Added measures.curves.roc.
read full changelog

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