HiddenMarkovClassifierTDistribution, TObservation Properties

Gets the number of classes which can be recognized by this classifier.

Gets the Hidden Markov Model implementation responsible for recognizing each of the classes given the desired class label.

Gets the collection of models specialized in each class of the sequence classification problem.

Gets the number of classes expected and recognized by the classifier.

Gets the number of inputs accepted by the model.

Gets the number of outputs generated by the model.

Gets the prior distribution assumed for the classes.

Gets or sets a value governing the rejection given by a threshold model (if present). Increasing this value will result in higher rejection rates. Default is 1.

Gets or sets the threshold model.