IMultilabelLikelihoodClassifierTInput Interface

Common interface for generative multi-label classifiers. A multi-label classifier can predict the occurrence of multiple class labels at once, as well as their probabilities.

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

Syntax

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public interface IMultilabelLikelihoodClassifier<TInput> : IMultilabelLikelihoodClassifier<TInput, int>, 
	IMultilabelOutLikelihoodClassifier<TInput, int>, IMultilabelLikelihoodClassifierBase<TInput, int>, IMultilabelScoreClassifierBase<TInput, int>, 
	IMultilabelOutScoreClassifier<TInput, int>, IMultilabelRefLikelihoodClassifier<TInput, int[]>, IMultilabelLikelihoodClassifierBase<TInput, int[]>, 
	IMultilabelScoreClassifierBase<TInput, int[]>, IMultilabelRefScoreClassifier<TInput, int[]>, 
	IMultilabelLikelihoodClassifier<TInput, double>, IMultilabelOutLikelihoodClassifier<TInput, double>, 
	IMultilabelLikelihoodClassifierBase<TInput, double>, IMultilabelScoreClassifierBase<TInput, double>, 
	IMultilabelOutScoreClassifier<TInput, double>, IMultilabelRefLikelihoodClassifier<TInput, double[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, double[]>, IMultilabelScoreClassifierBase<TInput, double[]>, 
	IMultilabelRefScoreClassifier<TInput, double[]>, IMultilabelRefLikelihoodClassifier<TInput, bool[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, bool[]>, IMultilabelScoreClassifierBase<TInput, bool[]>, 
	IMultilabelRefScoreClassifier<TInput, bool[]>, IMultilabelScoreClassifier<TInput>, IMultilabelScoreClassifier<TInput, int>, 
	IClassifier<TInput, int>, IClassifier, ITransform<TInput, int>, 
	ICovariantTransform<TInput, int>, ITransform, IMultilabelScoreClassifier<TInput, double>, 
	IClassifier<TInput, double>, ITransform<TInput, double>, 
	ICovariantTransform<TInput, double>, IMultilabelClassifier<TInput>, IMultilabelClassifier<TInput, int[]>, 
	IClassifier<TInput, int[]>, ITransform<TInput, int[]>, 
	ICovariantTransform<TInput, int[]>, IMultilabelClassifier<TInput, bool[]>, 
	IClassifier<TInput, bool[]>, ITransform<TInput, bool[]>, 
	ICovariantTransform<TInput, bool[]>, IMultilabelClassifier<TInput, double[]>, 
	IClassifier<TInput, double[]>, ITransform<TInput, double[]>, 
	ICovariantTransform<TInput, double[]>

Public Interface IMultilabelLikelihoodClassifier(Of TInput)
	Inherits IMultilabelLikelihoodClassifier(Of TInput, Integer), IMultilabelOutLikelihoodClassifier(Of TInput, Integer), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Integer), IMultilabelScoreClassifierBase(Of TInput, Integer), 
	IMultilabelOutScoreClassifier(Of TInput, Integer), IMultilabelRefLikelihoodClassifier(Of TInput, Integer()), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Integer()), IMultilabelScoreClassifierBase(Of TInput, Integer()), 
	IMultilabelRefScoreClassifier(Of TInput, Integer()), IMultilabelLikelihoodClassifier(Of TInput, Double), 
	IMultilabelOutLikelihoodClassifier(Of TInput, Double), IMultilabelLikelihoodClassifierBase(Of TInput, Double), 
	IMultilabelScoreClassifierBase(Of TInput, Double), IMultilabelOutScoreClassifier(Of TInput, Double), 
	IMultilabelRefLikelihoodClassifier(Of TInput, Double()), IMultilabelLikelihoodClassifierBase(Of TInput, Double()), 
	IMultilabelScoreClassifierBase(Of TInput, Double()), IMultilabelRefScoreClassifier(Of TInput, Double()), 
	IMultilabelRefLikelihoodClassifier(Of TInput, Boolean()), IMultilabelLikelihoodClassifierBase(Of TInput, Boolean()), 
	IMultilabelScoreClassifierBase(Of TInput, Boolean()), IMultilabelRefScoreClassifier(Of TInput, Boolean()), 
	IMultilabelScoreClassifier(Of TInput), IMultilabelScoreClassifier(Of TInput, Integer), 
	IClassifier(Of TInput, Integer), IClassifier, ITransform(Of TInput, Integer), 
	ICovariantTransform(Of TInput, Integer), ITransform, IMultilabelScoreClassifier(Of TInput, Double), 
	IClassifier(Of TInput, Double), ITransform(Of TInput, Double), 
	ICovariantTransform(Of TInput, Double), IMultilabelClassifier(Of TInput), 
	IMultilabelClassifier(Of TInput, Integer()), IClassifier(Of TInput, Integer()), 
	ITransform(Of TInput, Integer()), ICovariantTransform(Of TInput, Integer()), 
	IMultilabelClassifier(Of TInput, Boolean()), IClassifier(Of TInput, Boolean()), 
	ITransform(Of TInput, Boolean()), ICovariantTransform(Of TInput, Boolean()), 
	IMultilabelClassifier(Of TInput, Double()), IClassifier(Of TInput, Double()), 
	ITransform(Of TInput, Double()), ICovariantTransform(Of TInput, Double())

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Type Parameters

TInput: The data type for the input data. Default is double[].

The IMultilabelLikelihoodClassifierTInput 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.)
	Decide(TInput, TClasses)	Computes class-label decisions for the given input. (Inherited from IMultilabelClassifierTInput, TClasses.)
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vector belongs to the specified classIndex.
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
	LogLikelihood(TInput, Int32, Double)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
	LogLikelihood(TInput, Int32, Double)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
	LogLikelihoods(TInput)	Computes the log-likelihood that the given input vector belongs to each of the possible classes.
	LogLikelihoods(TInput)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
	LogLikelihoods(TInput, Double)	Computes the log-likelihood that the given input vector belongs to each of the possible classes.
	LogLikelihoods(TInput, Double)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
	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)	Computes the probabilities that the given input vector belongs to each of the possible classes.
	Probabilities(TInput)	Computes the probabilities that the given input vectors belongs to each of the possible classes.
	Probabilities(TInput, Double)	Computes the probabilities that the given input vector belongs to each of the possible classes.
	Probabilities(TInput, Double)	Computes the probabilities that the given input vectors belongs to each of the possible classes.
	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, Int32)	Computes the probability that the given input vector belongs to the specified classIndex.
	Probability(TInput, Int32)	Computes the probability that the given input vectors belongs to each class specified in classIndex.
	Probability(TInput, Int32)	Computes the probability that the given input vectors belongs to each class specified in classIndex.
	Probability(TInput, Int32, Double)	Computes the probability that the given input vectors belongs to each class specified in classIndex.
	Probability(TInput, Int32, Double)	Computes the probability that the given input vectors belongs to each class specified in classIndex.
	Score(TInput, Int32)	Computes a numerical score measuring the association between the given input vector and a given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32, Double)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32, Double)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between each of the given input vectors and each possible class. (Inherited from IMultilabelScoreClassifierTInput.)
	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, Double)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput, Double)	Computes a numerical score measuring the association between each of the given input vectors and each possible class. (Inherited from IMultilabelScoreClassifierTInput.)
	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.)
	ToMulticlass	Views this instance as a multi-class generative classifier.
	ToMulticlassT	Views this instance as a multi-class generative classifier.
	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

IMultilabelLikelihoodClassifierTInput Interface