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Accord.NET (logo) HiddenMarkovClassifierLearning Properties

The HiddenMarkovClassifierLearning type exposes the following members.

Properties
  NameDescription
Public propertyAlgorithm Obsolete.
Obsolete.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyClassifier
Gets the classifier being trained by this instance.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyEmpirical
Gets or sets a value indicating whether the class priors should be estimated from the data, as in an empirical Bayes method.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyLearner
Gets or sets the configuration function specifying which training algorithm should be used for each of the models in the hidden Markov model set.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyLogLikelihood
Gets the log-likelihood at the end of the training.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertyRejection
Gets or sets a value indicating whether a threshold model should be created or updated after training to support rejection.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
Public propertySmoothing
Gets or sets the smoothing kernel's sigma for the threshold model.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.)
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