Project details for Milk

Screenshot Milk 0.3.8

by luispedro - February 12, 2011, 23:53:03 CET [ Project Homepage BibTeX Download ]

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Milk is a machine learning toolkit in Python.

Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems. It works over many datatypes, with a preference for numpy arrays.

For unsupervised learning, milk supports k-means clustering and affinity propagation.

Changes to previous version:

Fix compilation on Windows.

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None, Agnostic
Tags: Python, Svm, Feature Selection, Kmeans, Decision Tree Learning, Random Forests, Supervised, Libsvm, Affinity Propagation, Nonnegative Matrix Factorization
Archive: download here


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