mloss.org chestnut Machine Learning Suitehttp://mloss.orgUpdates and additions to chestnut Machine Learning SuiteenTue, 07 Oct 2008 13:04:19 -0000chestnut Machine Learning Suite 0.1.1http://mloss.org/software/view/153/<html><p>The Chestnut Machine Learning Library is a suite of machine learning algorithms written in Python with some code written in C for efficiency. Most algorithms are called with a simple, functional API with input data encoded as arrays. Some packages have a MATLAB-like API to enable migration from a MATLAB environment. The class hierarchy is minimal to enable new users to quickly learn and call Chestnut code from their own codes. The first alpha release includes the following packages: </p> <ul> <li> boosting: AdaBoost, LPBoost, BrownBoost, MADABoost, SoftBoost, TotalBoost (some boosters require CVXOPT) </li> <li> hmm: hidden markov models with support for discrete and continuous emission distributions and multiple training sequences. </li> <li> cluster: hierarchical, k-means, QT, and shifting means clustering algorithms </li> <li> knn: Voronoi tesselations, kd-trees, k-nearest neighbor classifiers </li> <li> linear: basic Fisher's linear discriminant analysis </li> </ul></html>Damian Eads, Karen Glocer, Andy Fraser, Edward RostenTue, 07 Oct 2008 13:04:19 -0000http://mloss.org/software/rss/comments/153http://mloss.org/software/view/153/nips2008