BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation Properties

Properties

	Name	Description
	Algorithm	Obsolete. Obsolete.
	Classifier	Gets the classifier being trained by this instance.
	Empirical	Gets or sets a value indicating whether the class priors should be estimated from the data, as in an empirical Bayes method.
	Learner	Gets or sets the configuration function specifying which training algorithm should be used for each of the models in the hidden Markov model set.
	LogLikelihood	Gets the log-likelihood at the end of the training.
	ParallelOptions	Gets or sets the parallelization options for this algorithm.
	Rejection	Gets or sets a value indicating whether a threshold model should be created or updated after training to support rejection.
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

BaseHiddenMarkovClassifierLearningAddLanguageSpecificTextSet("LST1C77446D_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TClassifier, TModel, TDistribution, TObservationAddLanguageSpecificTextSet("LST1C77446D_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Properties