Milk 0.4.0 releases the Python machine learning kit

Milk is a machine learning kit in Python. Its focus is to provide supervised classifications and several effective classification analyses: SVMs (based on LIBSVM), nn, stochastic forest economy and decision tree. It also performs feature selection. These classifications can be combined in many ways to form different classification systems. For unsupervised learning, milk supports K clustering and affinity propagation.

Milk 0.4.0 new features: Parallel processing, perceptron and error-correcting output codes. Enhancements: Setting up random seeds in a stochastic forest economy, Defaultlearner () adds the "multi_strategy" parameter, the return value is Gridminimise, and the faster network kernel supports SVMS and S-shape fitting. A randomforest error was corrected.

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Download Address: milk-0.4.0.tar.gz (MD5)