ulmangt / vfml

Very Fast Machine Learning Toolkit

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VFML

Very Fast Machine Learning Toolkit

Based on original work by Hulten, G. and Domingos, P. "VFML -- A toolkit for mining high-speed time-changing data streams" http://www.cs.washington.edu/dm/vfml/. 2003.

Modules

original

Hulten and Domingos' original VFML C code with minor modifications to support compilation on Ubuntu 10.04 and gcc 4.6.3.

weka

Weka implementation of the VFDT and CVFDT tree-based classification algorithms. Developed mainly for educational purposes. For actual streaming classification problems, the Moa VFDT implemention is recommended.

data

Scripts for downloading and parsing various large datasets suitable for machine learning on massive data streams.

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Very Fast Machine Learning Toolkit


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