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ml.gmm

ml.gmm is a Gaussian Mixture Model classifier that trains on labeled feature vectors and maps input feature vectors to classification output. Add training examples as lists beginning with a class ID (for example, add 1 0.2 0.7 0.3 0.1), then send train before using map; it can optionally output probabilities from its right outlet.

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  • Download via Deken.

    Open Pd and go to ToolsFind Externals. Search for ml.lib and install it. Then create an object with declare -lib ml.lib -path ml.lib. Finally, use ml.gmm or any other object from ml.lib.

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