Description:

MLDemos puts together a number of open-source libraries for machine learning in a single framework that allows to draw data, experiment and visualize the effects of training and model parameters.

The accent is put on the visualization and its main purpose is education and understanding of several classification, clustering and regression algorithms. Different visualization modes allow to grasp different aspects of the results obtained by the algorithms.

Attached are the Windows binaries, please refer to the website for the mac version and the source code.

NOTE: The mac/linux version compiles but the results of some algorithms are inconsistent with the other platforms: KNN crashes on regression and messes up on classification; Kernel K-Means was reported to not behave as expected.

Changes to previous version:

Minor fixes to allow compilation on linux

BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows

Data Formats: Plain Ascii

Tags: Classification, Clustering, Regression, Support Vector Machines, Visualization, Machine Learning, Gaussian Mixture Models, Pegasos, Gaussian Processes, Multi Layer Perceptron, Relevant Vector Machines

Archive: download here

Comments

Thomas Wiecki (on March 23, 2011, 14:37:51)

Tried to compile under linux (kubuntu 10.10) which worked fine, but when I try to classify with any of the classifiers I get a segfault. Also tried windows binary with wine, but no avail.

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