21 Jun '13, 7pm

Milk 0.5.3: A machine learning toolkit in Python Follow @mas_coltliq

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. 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.

Full article: http://webscripts.softpedia.com/script/Scientific-Enginee...

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