HiddenMarkovClassifierLearningTDistribution Properties

Gets or sets the configuration function specifying which training algorithm should be used for each of the models in the hidden Markov model set.

Gets the classifier being trained by this instance.

Gets or sets a value indicating whether the class priors should be estimated from the data, as in an empirical Bayes method.

Gets or sets a value indicating whether a threshold model should be created or updated after training to support rejection.