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ml.adaboost

ml.adaboost performs classification using Adaptive Boosting, training a model from labeled feature vectors added with add and mapping input feature vectors to output values with map. Before mapping, send train; options configure details such as boosting iterations, prediction method, weak classifiers, scaling, probabilities, 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.adaboost or any other object from ml.lib.

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