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ml.svm

ml.svm implements a support vector machine for classifying feature vectors. Add training examples as lists containing a class ID followed by features, send train, then use map with a feature vector to generate output; training data and/or the model can also be read from or written to a specified path.

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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.svm or any other object from ml.lib.

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