IMulticlassLikelihoodClassifierTInput, 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 IMulticlassLikelihoodClassifier<TInput, TClasses> : IMulticlassOutLikelihoodClassifier<TInput, TClasses>, 
	IMulticlassOutScoreClassifier<TInput, TClasses>, IMulticlassScoreClassifierBase<TInput, TClasses>, 
	IMultilabelOutScoreClassifier<TInput, TClasses>, IMultilabelScoreClassifierBase<TInput, TClasses>, 
	IMultilabelOutLikelihoodClassifier<TInput, TClasses>, IMultilabelLikelihoodClassifierBase<TInput, TClasses>, 
	IMulticlassLikelihoodClassifierBase<TInput, TClasses>, IMulticlassRefLikelihoodClassifier<TInput, TClasses[]>, 
	IMulticlassRefScoreClassifier<TInput, TClasses[]>, IMultilabelRefScoreClassifier<TInput, TClasses[]>, 
	IMultilabelScoreClassifierBase<TInput, TClasses[]>, IMultilabelRefLikelihoodClassifier<TInput, TClasses[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, TClasses[]>, IMulticlassScoreClassifier<TInput, TClasses>, 
	IClassifier<TInput, TClasses>, IClassifier, ITransform<TInput, TClasses>, 
	ICovariantTransform<TInput, TClasses>, ITransform

Public Interface IMulticlassLikelihoodClassifier(Of TInput, TClasses)
	Inherits IMulticlassOutLikelihoodClassifier(Of TInput, TClasses), 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), 
	IMulticlassRefLikelihoodClassifier(Of TInput, TClasses()), IMulticlassRefScoreClassifier(Of TInput, TClasses()), 
	IMultilabelRefScoreClassifier(Of TInput, TClasses()), IMultilabelScoreClassifierBase(Of TInput, TClasses()), 
	IMultilabelRefLikelihoodClassifier(Of TInput, TClasses()), IMultilabelLikelihoodClassifierBase(Of TInput, TClasses()), 
	IMulticlassScoreClassifier(Of TInput, TClasses), IClassifier(Of TInput, TClasses), 
	IClassifier, ITransform(Of TInput, TClasses), ICovariantTransform(Of TInput, TClasses), 
	ITransform

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Type Parameters

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

The IMulticlassLikelihoodClassifierTInput, TClasses type exposes the following members.

Properties

	Name	Description
	NumberOfClasses	Gets or sets the number of classes expected and recognized by the classifier. (Inherited from IClassifier.)
	NumberOfInputs	Gets or sets the number of inputs accepted by the model. (Inherited from ITransform.)
	NumberOfOutputs	Gets or sets the number of outputs generated by the model. (Inherited from ITransform.)

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Methods

	Name	Description
	Decide(TInput)	Computes a class-label decision for a given input. (Inherited from IClassifierTInput, TClasses.)
	Decide(TInput)	Computes class-label decisions for each vector in the given input. (Inherited from IClassifierTInput, TClasses.)
	Decide(TInput, TClasses)	Computes class-label decisions for each vector in the given input. (Inherited from IClassifierTInput, TClasses.)
	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. (Inherited from IMulticlassOutLikelihoodClassifierTInput, TClasses.)
	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)	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 IMultilabelRefLikelihoodClassifierTInput, 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.)
	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 IMultilabelRefLikelihoodClassifierTInput, 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)	Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelRefLikelihoodClassifierTInput, 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.)
	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 IMultilabelRefLikelihoodClassifierTInput, 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. (Inherited from IMulticlassOutLikelihoodClassifierTInput, TClasses.)
	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 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 IMultilabelRefScoreClassifierTInput, 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 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 IMultilabelRefScoreClassifierTInput, 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.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from ICovariantTransformTInput, TOutput.)
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ICovariantTransformTInput, TOutput.)
	Transform(TInput, TOutput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ITransformTInput, TOutput.)

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Reference

Accord.MachineLearning Namespace

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Type Parameters

Reference

IMulticlassLikelihoodClassifierTInput, TClasses Interface