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ml.hmmc

ml.hmmc implements a continuous Hidden Markov Model for classifying input feature-vector time series. Training examples are recorded by enclosing class-tagged add messages between record 1 and record 0, then training with train; map generates output for an input feature vector.

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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.hmmc or any other object from ml.lib.

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