IBinaryLikelihoodClassifier(TInput) Interface
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IBinaryLikelihoodClassifierTInput Interface

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.

Namespace:  Accord.MachineLearning
Assembly:  Accord (in Accord.dll) Version: 3.8.0
Syntax
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>
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Type Parameters

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

The IBinaryLikelihoodClassifierTInput 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 IMulticlassClassifierTInput.)
Public methodDecide(TInput)
Computes class-label decisions for each vector in the given input.
(Inherited from IMulticlassClassifierTInput.)
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)
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 IMulticlassLikelihoodClassifierTInput.)
Public methodLogLikelihood(TInput)
Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class.
(Inherited from IMulticlassLikelihoodClassifierTInput.)
Public methodLogLikelihood(TInput, Double)
Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class.
(Inherited from IMulticlassLikelihoodClassifierTInput.)
Public methodLogLikelihood(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.)
Public methodLogLikelihood(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.)
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vector belongs to the specified classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihood(TInput, Int32)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihood(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.)
Public methodLogLikelihood(TInput, Int32, Double)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihood(TInput, Int32, Double)
Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihoods(TInput)
Computes the log-likelihood that the given input vector belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihoods(TInput)
Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihoods(TInput, Double)
Computes the log-likelihood that the given input vector belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodLogLikelihoods(TInput, Double)
Computes the log-likelihoods that the given input vectors belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
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.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbabilities(TInput)
Computes the probabilities that the given input vectors belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbabilities(TInput, Double)
Computes the probabilities that the given input vector belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbabilities(TInput, Double)
Computes the probabilities that the given input vectors belongs to each of the possible classes.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
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)
Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class.
(Inherited from IMulticlassLikelihoodClassifierTInput.)
Public methodProbability(TInput)
Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class.
(Inherited from IMulticlassLikelihoodClassifierTInput.)
Public methodProbability(TInput, Double)
Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class.
(Inherited from IMulticlassLikelihoodClassifierTInput.)
Public methodProbability(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.)
Public methodProbability(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.)
Public methodProbability(TInput, Int32)
Computes the probability that the given input vector belongs to the specified classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbability(TInput, Int32)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbability(TInput, Int32)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbability(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.)
Public methodProbability(TInput, Int32, Double)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodProbability(TInput, Int32, Double)
Computes the probability that the given input vectors belongs to each class specified in classIndex.
(Inherited from IMultilabelLikelihoodClassifierTInput.)
Public methodScore(TInput)
Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).
(Inherited from IMulticlassScoreClassifierTInput.)
Public methodScore(TInput)
Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes.
(Inherited from IMulticlassScoreClassifierTInput.)
Public methodScore(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.)
Public methodScore(TInput, Double)
Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes.
(Inherited from IMulticlassScoreClassifierTInput.)
Public methodScore(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.)
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, 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.)
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, giving access to more advanced methods, such as the prediction of integer labels.
Public methodToMulticlassT
Views this instance as a multi-class generative classifier, giving access to more advanced methods, such as the prediction of integer labels.
Public methodToMultilabel
Views this instance as a multi-label classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.
(Inherited from IMulticlassClassifierTInput.)
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