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IMulticlassScoreClassifierTInput Methods

The IMulticlassScoreClassifierTInput generic type exposes the following members.

Methods
  NameDescription
Public methodDecide(TInput)
Computes a class-label decision for a given input.
Public methodDecide(TInput)
Computes class-label decisions for each vector in the given input.
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).
Public methodScore(TInput)
Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes.
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.
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 score-based classifier.
(Inherited from IMultilabelScoreClassifierTInput.)
Public methodToMultilabel
Views this instance as a multi-label distance classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.
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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