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Common interface for generative binary classifiers. A binary classifier can predict whether or not an instance belongs to a class, while at the same time being able to provide the probability of this sample belonging to the positive class.

Accord (in Accord.dll) Version: 3.8.0

public interface IBinaryLikelihoodClassifier<TInput> : IBinaryScoreClassifier<TInput>, 
	IBinaryClassifier<TInput>, IMulticlassClassifier<TInput>, IMultilabelClassifier<TInput>, 
	IMultilabelClassifier<TInput, int[]>, IClassifier<TInput, int[]>, 
	IClassifier, ITransform<TInput, int[]>, ICovariantTransform<TInput, int[]>, 
	ITransform, IMultilabelClassifier<TInput, bool[]>, IClassifier<TInput, bool[]>, 
	ITransform<TInput, bool[]>, ICovariantTransform<TInput, bool[]>, 
	IMultilabelClassifier<TInput, double[]>, IClassifier<TInput, double[]>, 
	ITransform<TInput, double[]>, ICovariantTransform<TInput, double[]>, 
	IMulticlassClassifier<TInput, int>, IClassifier<TInput, int>, ITransform<TInput, int>, 
	ICovariantTransform<TInput, int>, IMulticlassClassifier<TInput, double>, 
	IClassifier<TInput, double>, ITransform<TInput, double>, 
	ICovariantTransform<TInput, double>, IClassifier<TInput, bool>, 
	ITransform<TInput, bool>, ICovariantTransform<TInput, bool>, 
	IMulticlassOutScoreClassifier<TInput, bool>, IMulticlassScoreClassifierBase<TInput, bool>, 
	IMultilabelOutScoreClassifier<TInput, bool>, IMultilabelScoreClassifierBase<TInput, bool>, 
	IMulticlassScoreClassifier<TInput>, IMulticlassScoreClassifier<TInput, int>, IMulticlassOutScoreClassifier<TInput, int>, 
	IMulticlassScoreClassifierBase<TInput, int>, IMultilabelOutScoreClassifier<TInput, int>, IMultilabelScoreClassifierBase<TInput, int>, 
	IMulticlassRefScoreClassifier<TInput, int[]>, IMultilabelRefScoreClassifier<TInput, int[]>, 
	IMultilabelScoreClassifierBase<TInput, int[]>, IMulticlassScoreClassifier<TInput, double>, 
	IMulticlassOutScoreClassifier<TInput, double>, IMulticlassScoreClassifierBase<TInput, double>, 
	IMultilabelOutScoreClassifier<TInput, double>, IMultilabelScoreClassifierBase<TInput, double>, 
	IMulticlassRefScoreClassifier<TInput, double[]>, IMultilabelRefScoreClassifier<TInput, double[]>, 
	IMultilabelScoreClassifierBase<TInput, double[]>, IMulticlassRefScoreClassifier<TInput, bool[]>, 
	IMultilabelRefScoreClassifier<TInput, bool[]>, IMultilabelScoreClassifierBase<TInput, bool[]>, 
	IMultilabelScoreClassifier<TInput>, IMultilabelScoreClassifier<TInput, int>, IMultilabelScoreClassifier<TInput, double>, 
	IMulticlassOutLikelihoodClassifier<TInput, bool>, IMultilabelOutLikelihoodClassifier<TInput, bool>, 
	IMultilabelLikelihoodClassifierBase<TInput, bool>, IMulticlassLikelihoodClassifierBase<TInput, bool>, 
	IMulticlassLikelihoodClassifier<TInput>, IMulticlassLikelihoodClassifier<TInput, int>, IMulticlassOutLikelihoodClassifier<TInput, int>, 
	IMultilabelOutLikelihoodClassifier<TInput, int>, IMultilabelLikelihoodClassifierBase<TInput, int>, IMulticlassLikelihoodClassifierBase<TInput, int>, 
	IMulticlassRefLikelihoodClassifier<TInput, int[]>, IMultilabelRefLikelihoodClassifier<TInput, int[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, int[]>, IMulticlassLikelihoodClassifier<TInput, double>, 
	IMulticlassOutLikelihoodClassifier<TInput, double>, IMultilabelOutLikelihoodClassifier<TInput, double>, 
	IMultilabelLikelihoodClassifierBase<TInput, double>, IMulticlassLikelihoodClassifierBase<TInput, double>, 
	IMulticlassRefLikelihoodClassifier<TInput, double[]>, IMultilabelRefLikelihoodClassifier<TInput, double[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, double[]>, IMulticlassRefLikelihoodClassifier<TInput, bool[]>, 
	IMultilabelRefLikelihoodClassifier<TInput, bool[]>, IMultilabelLikelihoodClassifierBase<TInput, bool[]>, 
	IMultilabelLikelihoodClassifier<TInput>, IMultilabelLikelihoodClassifier<TInput, int>, IMultilabelLikelihoodClassifier<TInput, double>

Public Interface IBinaryLikelihoodClassifier(Of TInput)
	Inherits IBinaryScoreClassifier(Of TInput), IBinaryClassifier(Of TInput), 
	IMulticlassClassifier(Of TInput), IMultilabelClassifier(Of TInput), IMultilabelClassifier(Of TInput, Integer()), 
	IClassifier(Of TInput, Integer()), IClassifier, ITransform(Of TInput, Integer()), 
	ICovariantTransform(Of TInput, Integer()), ITransform, 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()), IMulticlassClassifier(Of TInput, Integer), 
	IClassifier(Of TInput, Integer), ITransform(Of TInput, Integer), 
	ICovariantTransform(Of TInput, Integer), IMulticlassClassifier(Of TInput, Double), 
	IClassifier(Of TInput, Double), ITransform(Of TInput, Double), 
	ICovariantTransform(Of TInput, Double), IClassifier(Of TInput, Boolean), 
	ITransform(Of TInput, Boolean), ICovariantTransform(Of TInput, Boolean), 
	IMulticlassOutScoreClassifier(Of TInput, Boolean), IMulticlassScoreClassifierBase(Of TInput, Boolean), 
	IMultilabelOutScoreClassifier(Of TInput, Boolean), IMultilabelScoreClassifierBase(Of TInput, Boolean), 
	IMulticlassScoreClassifier(Of TInput), IMulticlassScoreClassifier(Of TInput, Integer), 
	IMulticlassOutScoreClassifier(Of TInput, Integer), IMulticlassScoreClassifierBase(Of TInput, Integer), 
	IMultilabelOutScoreClassifier(Of TInput, Integer), IMultilabelScoreClassifierBase(Of TInput, Integer), 
	IMulticlassRefScoreClassifier(Of TInput, Integer()), IMultilabelRefScoreClassifier(Of TInput, Integer()), 
	IMultilabelScoreClassifierBase(Of TInput, Integer()), IMulticlassScoreClassifier(Of TInput, Double), 
	IMulticlassOutScoreClassifier(Of TInput, Double), IMulticlassScoreClassifierBase(Of TInput, Double), 
	IMultilabelOutScoreClassifier(Of TInput, Double), IMultilabelScoreClassifierBase(Of TInput, Double), 
	IMulticlassRefScoreClassifier(Of TInput, Double()), IMultilabelRefScoreClassifier(Of TInput, Double()), 
	IMultilabelScoreClassifierBase(Of TInput, Double()), IMulticlassRefScoreClassifier(Of TInput, Boolean()), 
	IMultilabelRefScoreClassifier(Of TInput, Boolean()), IMultilabelScoreClassifierBase(Of TInput, Boolean()), 
	IMultilabelScoreClassifier(Of TInput), IMultilabelScoreClassifier(Of TInput, Integer), 
	IMultilabelScoreClassifier(Of TInput, Double), IMulticlassOutLikelihoodClassifier(Of TInput, Boolean), 
	IMultilabelOutLikelihoodClassifier(Of TInput, Boolean), IMultilabelLikelihoodClassifierBase(Of TInput, Boolean), 
	IMulticlassLikelihoodClassifierBase(Of TInput, Boolean), IMulticlassLikelihoodClassifier(Of TInput), 
	IMulticlassLikelihoodClassifier(Of TInput, Integer), IMulticlassOutLikelihoodClassifier(Of TInput, Integer), 
	IMultilabelOutLikelihoodClassifier(Of TInput, Integer), IMultilabelLikelihoodClassifierBase(Of TInput, Integer), 
	IMulticlassLikelihoodClassifierBase(Of TInput, Integer), IMulticlassRefLikelihoodClassifier(Of TInput, Integer()), 
	IMultilabelRefLikelihoodClassifier(Of TInput, Integer()), IMultilabelLikelihoodClassifierBase(Of TInput, Integer()), 
	IMulticlassLikelihoodClassifier(Of TInput, Double), IMulticlassOutLikelihoodClassifier(Of TInput, Double), 
	IMultilabelOutLikelihoodClassifier(Of TInput, Double), IMultilabelLikelihoodClassifierBase(Of TInput, Double), 
	IMulticlassLikelihoodClassifierBase(Of TInput, Double), IMulticlassRefLikelihoodClassifier(Of TInput, Double()), 
	IMultilabelRefLikelihoodClassifier(Of TInput, Double()), IMultilabelLikelihoodClassifierBase(Of TInput, Double()), 
	IMulticlassRefLikelihoodClassifier(Of TInput, Boolean()), IMultilabelRefLikelihoodClassifier(Of TInput, Boolean()), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Boolean()), IMultilabelLikelihoodClassifier(Of TInput), 
	IMultilabelLikelihoodClassifier(Of TInput, Integer), IMultilabelLikelihoodClassifier(Of TInput, Double)

TInput

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

The IBinaryLikelihoodClassifierTInput type exposes the following members.

Computes a class-label decision for a given input.

Computes class-label decisions for each vector in the given input.

Computes class-label decisions for each vector in the given input.

Computes class-label decisions for the given input.

Predicts a class label vector for the given input vector, returning the log-likelihood that the input vector belongs to its predicted class.

Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class.

Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class.

Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class.

Predicts a class label vector for the given input vector, returning the log-likelihood that the input vector belongs to its predicted class.

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.

Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.

Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class.

Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.

Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.

Computes the log-likelihood that the given input vector belongs to each of the possible classes.

Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.

Computes the log-likelihood that the given input vector belongs to each of the possible classes.

Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.

Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Predicts a class label vector for the given input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Computes the probabilities that the given input vector belongs to each of the possible classes.

Computes the probabilities that the given input vectors belongs to each of the possible classes.

Computes the probabilities that the given input vector belongs to each of the possible classes.

Computes the probabilities that the given input vectors belongs to each of the possible classes.

Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class.

Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class.

Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class.

Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class.

Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.

Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class.

Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class.

Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class.

Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.

Computes the probability that the given input vector belongs to the specified classIndex.

Computes the probability that the given input vectors belongs to each class specified in classIndex.

Computes the probability that the given input vectors belongs to each class specified in classIndex.

Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class.

Computes the probability that the given input vectors belongs to each class specified in classIndex.

Computes the probability that the given input vectors belongs to each class specified in classIndex.

Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).

Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes.

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.

Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes.

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.

Computes a numerical score measuring the association between the given input vector and a given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

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.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between the given input vector and each class.

Computes a numerical score measuring the association between each of the given input vectors and each possible class.

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.

Computes a numerical score measuring the association between the given input vector and each class.

Computes a numerical score measuring the association between each of the given input vectors and each possible class.

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.

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.

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.

Views this instance as a multi-class generative classifier, giving access to more advanced methods, such as the prediction of integer labels.

Views this instance as a multi-class generative classifier, giving access to more advanced methods, such as the prediction of integer labels.

Views this instance as a multi-label classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

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