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HiddenMarkovClassifierLearning Properties |
The HiddenMarkovClassifierLearning type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Algorithm | Obsolete.
Obsolete.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| Classifier |
Gets the classifier being trained by this instance.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| Empirical |
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.) |
| 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.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| LogLikelihood |
Gets the log-likelihood at the end of the training.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservation.) |
| Rejection |
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.) |
| Smoothing |
Gets or sets the smoothing kernel's sigma
for the threshold model.
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| Token |
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.) |
See Also