Project details for Milk

Screenshot Milk 0.3.6

by luispedro - December 20, 2010, 19:04:15 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:
  • Unsupervised (1-class) kernel density modeling
  • Fix for when SDA returns empty
  • weights option to some learners
  • stump learner
  • Adaboost (result of above changes)
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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