Accord.NET Framework

## HiddenMarkovClassifierTDistribution, TObservation Class |

Arbitrary-density Hidden Markov Model Set for Sequence Classification.

Inheritance Hierarchy

SystemObject

Accord.MachineLearningTransformBaseTObservation, Int32

Accord.MachineLearningClassifierBaseTObservation, Int32

Accord.MachineLearningMulticlassClassifierBaseTObservation

Accord.MachineLearningMulticlassScoreClassifierBaseTObservation

Accord.MachineLearningMulticlassLikelihoodClassifierBaseTObservation

Accord.Statistics.Models.MarkovBaseHiddenMarkovClassifierHiddenMarkovModelTDistribution, TObservation, TDistribution, TObservation

Accord.Statistics.Models.MarkovHiddenMarkovClassifierTDistribution, TObservation

Accord.MachineLearningTransformBaseTObservation, Int32

Accord.MachineLearningClassifierBaseTObservation, Int32

Accord.MachineLearningMulticlassClassifierBaseTObservation

Accord.MachineLearningMulticlassScoreClassifierBaseTObservation

Accord.MachineLearningMulticlassLikelihoodClassifierBaseTObservation

Accord.Statistics.Models.MarkovBaseHiddenMarkovClassifierHiddenMarkovModelTDistribution, TObservation, TDistribution, TObservation

Accord.Statistics.Models.MarkovHiddenMarkovClassifierTDistribution, TObservation

Syntax

[SerializableAttribute] public class HiddenMarkovClassifier<TDistribution, TObservation> : BaseHiddenMarkovClassifier<HiddenMarkovModel<TDistribution, TObservation>, TDistribution, TObservation>, IEnumerable where TDistribution : Object, IDistribution<TObservation>

- TDistribution
- TObservation

The HiddenMarkovClassifierTDistribution, TObservation type exposes the following members.

Constructors

Top

Properties

Name | Description | |
---|---|---|

Classes | Obsolete.
Gets the number of classes which can be recognized by this classifier.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) | |

Item |
Gets the Hidden Markov
Model implementation responsible for recognizing
each of the classes given the desired class label.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) | |

Models |
Gets the collection of models specialized in each
class of the sequence classification problem.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) | |

NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) | |

NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) | |

NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) | |

Priors |
Gets the prior distribution assumed for the classes.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) | |

Sensitivity |
Gets or sets a value governing the rejection given by
a threshold model (if present). Increasing this value
will result in higher rejection rates. Default is 1.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) | |

Threshold |
Gets or sets the threshold model.
(Inherited from BaseHiddenMarkovClassifierTModel, TDistribution, TObservation.) |

Methods

Name | Description | |
---|---|---|

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.) | |

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) |
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(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.) | |

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) | ||

Score(TInput, Int32, Double) | ||

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.
(Inherited from ClassifierBaseTInput, TClasses.) | |

Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) | |

Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |

Extension Methods

Name | Description | |
---|---|---|

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual | Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.) | |

SetEqualsHiddenMarkovModelTDistribution, TObservation |
Compares two enumerables for set equality. Two
enumerables are set equal if they contain the
same elements, but not necessarily in the same
order.
(Defined by Matrix.) | |

ToT |
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |

Remarks

This class uses a set of density hidden Markov models to classify sequences of real (double-precision floating point) numbers or arrays of those numbers. Each model will try to learn and recognize each of the different output classes. For examples and details on how to learn such models, please take a look on the documentation for HiddenMarkovClassifierLearningTDistribution.

For the discrete version of this classifier, please see its non-generic counterpart HiddenMarkovClassifier.

Examples

Examples are available at the respective learning algorithm pages. For example, see HiddenMarkovClassifierLearningTDistribution, TObservation.

See Also