Milk 0.5.1

Developer: Website: License / Price: Platforms: Databases: Language: Last Updated: Category: Luis Pedro Coelho | More scripts luispedro.org MIT License  Windows / Linux / Mac OS / BSD / Solaris N/A Python January 16th, 2013, 13:41 GMT [view history] C: \ Scientific/Engineering \ Human Machine Interfaces

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 ]

· Added subspace projection kNN.
· Export pdist in milk namespace.
· Added Eigen to source distribution.
· Added measures.curves.roc.
· Added mds_dists function.

Via: Milk 0.5.1