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Milk wraps libsvm in Python code.
It also supports k-means clustering with an implementation that is careful not to use too much memory.
Here are some key features of "Milk":
· 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
What's New in This Release: [ read full changelog ]
· Fixed an important bug in gridsearch.
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