IMulticlassOutLikelihoodClassifierTInput, TClasses Interface

Common interface for generative multi-class classifiers. A multi-class classifier can predicts a class label based on an input instance vector.

Namespace: Accord.MachineLearning
Assembly: Accord (in Accord.dll) Version: 3.8.0

Syntax

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public interface IMulticlassOutLikelihoodClassifier<TInput, TClasses> : IMulticlassOutScoreClassifier<TInput, TClasses>, 
	IMulticlassScoreClassifierBase<TInput, TClasses>, IMultilabelOutScoreClassifier<TInput, TClasses>, 
	IMultilabelScoreClassifierBase<TInput, TClasses>, IMultilabelOutLikelihoodClassifier<TInput, TClasses>, 
	IMultilabelLikelihoodClassifierBase<TInput, TClasses>, IMulticlassLikelihoodClassifierBase<TInput, TClasses>

Public Interface IMulticlassOutLikelihoodClassifier(Of TInput, TClasses)
	Inherits IMulticlassOutScoreClassifier(Of TInput, TClasses), IMulticlassScoreClassifierBase(Of TInput, TClasses), 
	IMultilabelOutScoreClassifier(Of TInput, TClasses), IMultilabelScoreClassifierBase(Of TInput, TClasses), 
	IMultilabelOutLikelihoodClassifier(Of TInput, TClasses), IMultilabelLikelihoodClassifierBase(Of TInput, TClasses), 
	IMulticlassLikelihoodClassifierBase(Of TInput, TClasses)

Type Parameters

TInput: The data type for the input data. Default is double[].
TClasses: The data type for the class labels. Default is int.

Methods

	Name	Description
	LogLikelihood(TInput, TClasses)	Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihood(TInput, TClasses)	Predicts a class label vector for the given input vector, returning the log-likelihood that the input vector belongs to its predicted class.
	LogLikelihood(TInput, TClasses, Double)	Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihoods(TInput, TClasses)	Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihoods(TInput, TClasses)	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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	LogLikelihoods(TInput, TClasses, 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 IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihoods(TInput, TClasses, 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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	Probabilities(TInput, TClasses)	Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	Probabilities(TInput, TClasses)	Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	Probabilities(TInput, TClasses, Double)	Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	Probabilities(TInput, TClasses, 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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	Probability(TInput, TClasses)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	Probability(TInput, TClasses)	Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.
	Probability(TInput, TClasses, Double)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	Score(TInput, TClasses)	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 IMulticlassOutScoreClassifierTInput, TClasses.)
	Score(TInput, TClasses)	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 IMulticlassScoreClassifierBaseTInput, TClasses.)
	Score(TInput, TClasses, 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 IMulticlassScoreClassifierBaseTInput, TClasses.)
	Scores(TInput, TClasses)	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 IMultilabelOutScoreClassifierTInput, TClasses.)
	Scores(TInput, TClasses)	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 IMultilabelScoreClassifierBaseTInput, TClasses.)
	Scores(TInput, TClasses, 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 IMultilabelOutScoreClassifierTInput, TClasses.)
	Scores(TInput, TClasses, 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 IMultilabelScoreClassifierBaseTInput, TClasses.)

Top

Reference

Accord.MachineLearning Namespace

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Type Parameters

Reference

IMulticlassOutLikelihoodClassifierTInput, TClasses Interface