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ml.dtree

ml.dtree implements decision-tree classification, training a model from labeled feature vectors added with add and generating results for new vectors with map. Training data or models can be saved and loaded with write and read, and options control tree construction, scaling, probability output, and NULL rejection.

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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.dtree or any other object from ml.lib.

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