Project details for MLDemos

Screenshot MLDemos

by basilio - November 7, 2010, 16:16:18 CET [ Project Homepage BibTeX Download ]

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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: Kernel K-Means was reported to not behave as expected in the linux version.

Changes to previous version:

Added algorithm information on the Statistics window to display data such as the number of support vectors and basis functions. Added two new weak learners to the Boosting classification: Random Rectangles and Random Circles. Fixed a crash when Cross-Validation was run on an untrained classifier. Minor bugs fixes.

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


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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