IBinaryScoreClassifier(TInput) Interface
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IBinaryScoreClassifierTInput Interface

Common interface for score-based binary classifiers. A binary classifier can predict whether or not an instance belongs to a class based on a decision score (a real number) that measures the association of the input with the negative and positive class.

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

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

The IBinaryScoreClassifierTInput 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 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 distance classifier, giving access to more advanced methods, such as the prediction of integer labels.
Public methodToMulticlassT
Views this instance as a multi-class distance 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