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Showing content from http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Markov_HiddenMarkovClassifier.htm below:

Name Description Compute(Int32) Obsolete.

Computes the most likely class for a given sequence.

Compute(Int32, Double) Obsolete.

Computes the most likely class for a given sequence.

Compute(Int32, Double) Obsolete.

Computes the most likely class for a given sequence.

CreateGeneric

Creates a new Sequence Classifier with the given number of classes.

CreateGeneric2

Creates a new Sequence Classifier with the given number of classes.

Decide(TInput)

Computes class-label decisions for a given set of input vectors.

(Inherited from ClassifierBaseTInput, TClasses.) Decide(TObservation)

Computes a class-label decision for a given input.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) Decide(TInput, TClasses)

Computes a class-label decision for a given input.

(Inherited from ClassifierBaseTInput, TClasses.) Decide(TInput, Boolean)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Double)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Int32)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Double)

Computes a class-label decision for a given input.

(Inherited from MulticlassClassifierBaseTInput.) Equals

Determines whether the specified object is equal to the current object.

(Inherited from Object.) Finalize

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

(Inherited from Object.) GetEnumerator

Returns an enumerator that iterates through the models in the classifier.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) GetHashCode

Serves as the default hash function.

(Inherited from Object.) GetType

Gets the Type of the current instance.

(Inherited from Object.) Load(Stream) Obsolete.

Loads a classifier from a stream.

Load(String) Obsolete.

Loads a classifier from a file.

LoadTDistribution(Stream) Obsolete.

Loads a classifier from a stream.

LoadTDistribution(String) Obsolete.

Loads a classifier from a file.

LogLikelihood(TInput)

Computes the log-likelihood that the given input vectors belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TObservation)

Computes the log-likelihood that the given input vector belongs to its decided class.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) LogLikelihood(TInput, Int32)

Predicts a class label vector for the given input vector, returning the log-likelihood that the input vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TInput, Double)

Computes the log-likelihood that the given input vectors belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TInput, Int32)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TInput, Int32)

Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TObservation, Int32)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) LogLikelihood(TObservation, Int32)

Computes the log-likelihood that the given input vector belongs to its decided class.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) LogLikelihood(Int32, Int32)

Computes the log-likelihood of a set of sequences belonging to their given respective classes according to this classifier.

LogLikelihood(TInput, Int32, Double)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TInput, Int32, Double)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihood(TInput, Int32, Double)

Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput)

Computes the log-likelihood that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput)

Computes the log-likelihood that the given input vectors belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Double)

Computes the log-likelihood that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32)

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Double)

Computes the log-likelihood that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32)

Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32, Double)

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32, Double)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TInput, Int32, Double)

Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) LogLikelihoods(TObservation, Int32, Double)

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) MemberwiseClone

Creates a shallow copy of the current Object.

(Inherited from Object.) Probabilities(TInput)

Computes the probabilities that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput)

Computes the probabilities that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Double)

Computes the probabilities that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Int32)

Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Double)

Computes the probabilities that the given input vector belongs to each of the possible classes.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Int32)

Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Int32, Double)

Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TInput, Int32, Double)

Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probabilities(TObservation, Int32, Double)

Computes the probabilities that the given input vector belongs to each of the possible classes.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) Probability(TInput)

Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TObservation)

Computes the likelihood that the given input vector belongs to its decided class.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) Probability(TInput, Int32)

Computes the probability that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32)

Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Double)

Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32)

Computes the probability that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32)

Computes the probability that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32)

Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TObservation, Int32)

Computes the probability that the given input vector belongs to its decided class.

(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) Probability(TInput, Int32, Double)

Computes the probability that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32, Double)

Computes the probability that the given input vector belongs to the specified classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Probability(TInput, Int32, Double)

Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Save(Stream) Obsolete.

Saves the classifier to a stream.

Save(String) Obsolete.

Saves the classifier to a stream.

Score(TInput)

Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput)

Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32)

Computes a numerical score measuring the association between the given input vector and a given classIndex.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) Score(TInput, Int32)

Predicts a class label for the input vector, returning a numerical score measuring the strength of association of the input vector to its most strongly related class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Double)

Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32)

Computes a numerical score measuring the association between the given input vector and a given classIndex.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32)

Computes a numerical score measuring the association between the given input vector and a given classIndex.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32)

Predicts a class label for each input vector, returning a numerical score measuring the strength of association of the input vector to the most strongly related class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32, Double)

Computes a numerical score measuring the association between the given input vector and a given classIndex.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32, Double)

Computes a numerical score measuring the association between the given input vector and a given classIndex.

(Inherited from MulticlassScoreClassifierBaseTInput.) Score(TInput, Int32, Double)

Predicts a class label for each input vector, returning a numerical score measuring the strength of association of the input vector to the most strongly related class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput)

Computes a numerical score measuring the association between the given input vector and each class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput)

Computes a numerical score measuring the association between the given input vector and each class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Double)

Computes a numerical score measuring the association between the given input vector and each class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Int32)

Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Double)

Computes a numerical score measuring the association between the given input vector and each class.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Int32)

Predicts a class label vector for each input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Int32, Double)

Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.

(Inherited from MulticlassScoreClassifierBaseTInput.) Scores(TInput, Int32, Double)

Predicts a class label vector for each input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.

(Inherited from MulticlassScoreClassifierBaseTInput.) ToMulticlass

Views this instance as a multi-class generative classifier.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) ToMultilabel

Views this instance as a multi-label generative classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.

(Inherited from MulticlassLikelihoodClassifierBaseTInput.) ToString

Returns a string that represents the current object.

(Inherited from Object.) Transform(TInput)

Applies the transformation to an input, producing an associated output.

(Inherited from ClassifierBaseTInput, TClasses.) Transform(TInput)

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

(Inherited from TransformBaseTInput, TOutput.) Transform(TInput, TClasses)

Applies the transformation to an input, producing an associated output.