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ml.randforest

ml.randforest implements Random Forest classification, training a model from labeled feature vectors and mapping input feature vectors to output values. Add training examples as lists beginning with a class ID using add, then send train before using map; training data and/or the model can also be read from or written to a file.

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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.randforest or any other object from ml.lib.

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