Project details for Milk

Logo Milk 0.3.1

by luispedro - September 26, 2010, 23:46:27 CET [ Project Homepage BibTeX Download ]

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(based on 2 votes)

milk wraps libsvm in a Pythonic way (the models learned have weight arrays that are accessible from Python directly, the models are pickle()able, you can pass any Python function as a kernel,....)

It also supports k-means clustering with an implementation that is careful not to use too much memory (if your dataset fits into memory, milk can cluster it).

It does not have its own file format or in-memory format, which I consider a feature as it works on numpy arrays directly (or anything that is convertible to a numpy-array) without forcing you to copy memory around. For SVMs, you can even just use any datatype if you have your own kernel function.

Changes to previous version:
  • fix sparse non-negative matrix factorisation
  • mean grouped classifier
  • update multi classifier to newer interface
  • documentation & testing fixes
BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None
Tags: Svm, Supervised
Archive: download here


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