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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
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[]>
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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
  NameDescription
Public propertyNumberOfClasses
Gets or sets the number of classes expected and recognized by the classifier.
(Inherited from IClassifier.)
Public propertyNumberOfInputs
Gets or sets the number of inputs accepted by the model.
(Inherited from ITransform.)
Public propertyNumberOfOutputs
Gets or sets the number of outputs generated by the model.
(Inherited from ITransform.)
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Methods
  NameDescription
Public methodDecide(TInput)
Computes a class-label decision for a given input.
(Inherited from IClassifierTInput, TClasses.)
Public methodDecide(TInput)
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.)
Public methodDecide(TInput, TClasses)
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.)
Public methodDecide(TInput, TClasses)
Computes class-label decisions for the given input.
(Inherited from IMultilabelClassifierTInput, TClasses.)
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vector belongs to the specified classIndex.
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
Public methodLogLikelihood(TInput, Int32, Double)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
Public methodLogLikelihood(TInput, Int32, Double)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
Public methodLogLikelihoods(TInput)
Computes the log-likelihood that the given input vector belongs to each of the possible classes.
Public methodLogLikelihoods(TInput)
Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
Public methodLogLikelihoods(TInput, Double)
Computes the log-likelihood that the given input vector belongs to each of the possible classes.
Public methodLogLikelihoods(TInput, Double)
Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
Public methodLogLikelihoods(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.)
Public methodLogLikelihoods(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.)
Public methodLogLikelihoods(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.)
Public methodLogLikelihoods(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.)
Public methodProbabilities(TInput)
Computes the probabilities that the given input vector belongs to each of the possible classes.
Public methodProbabilities(TInput)
Computes the probabilities that the given input vectors belongs to each of the possible classes.
Public methodProbabilities(TInput, Double)
Computes the probabilities that the given input vector belongs to each of the possible classes.
Public methodProbabilities(TInput, Double)
Computes the probabilities that the given input vectors belongs to each of the possible classes.
Public methodProbabilities(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.)
Public methodProbabilities(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.)
Public methodProbabilities(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.)
Public methodProbabilities(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.)
Public methodProbability(TInput, Int32)
Computes the probability that the given input vector belongs to the specified classIndex.
Public methodProbability(TInput, Int32)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
Public methodProbability(TInput, Int32)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
Public methodProbability(TInput, Int32, Double)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
Public methodProbability(TInput, Int32, Double)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
Public methodScore(TInput, Int32)
Computes a numerical score measuring the association between the given input vector and a given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScore(TInput, Int32)
Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScore(TInput, Int32)
Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScore(TInput, Int32, Double)
Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScore(TInput, Int32, Double)
Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScores(TInput)
Computes a numerical score measuring the association between the given input vector and each class.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScores(TInput)
Computes a numerical score measuring the association between each of the given input vectors and each possible class.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScores(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.)
Public methodScores(TInput, Double)
Computes a numerical score measuring the association between the given input vector and each class.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScores(TInput, Double)
Computes a numerical score measuring the association between each of the given input vectors and each possible class.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodScores(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.)
Public methodScores(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.)
Public methodScores(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.)
Public methodToMulticlass
Views this instance as a multi-class generative classifier.
Public methodToMulticlassT
Views this instance as a multi-class generative classifier.
Public methodTransform(TInput)
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.)
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.)
Public methodTransform(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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See Also