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IMultilabelScoreClassifierTInput Interface |
Namespace: Accord.MachineLearning
public interface IMultilabelScoreClassifier<TInput> : IMultilabelScoreClassifier<TInput, int>, IMultilabelOutScoreClassifier<TInput, int>, IMultilabelScoreClassifierBase<TInput, int>, IMultilabelRefScoreClassifier<TInput, int[]>, IMultilabelScoreClassifierBase<TInput, int[]>, IClassifier<TInput, int>, IClassifier, ITransform<TInput, int>, ICovariantTransform<TInput, int>, ITransform, IMultilabelScoreClassifier<TInput, double>, IMultilabelOutScoreClassifier<TInput, double>, IMultilabelScoreClassifierBase<TInput, double>, IMultilabelRefScoreClassifier<TInput, double[]>, IMultilabelScoreClassifierBase<TInput, double[]>, IClassifier<TInput, double>, ITransform<TInput, double>, ICovariantTransform<TInput, double>, IMultilabelRefScoreClassifier<TInput, bool[]>, IMultilabelScoreClassifierBase<TInput, bool[]>, 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[]>
The IMultilabelScoreClassifierTInput type exposes the following members.
Name | Description | |
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![]() | NumberOfClasses |
Gets or sets the number of classes expected and recognized by the classifier.
(Inherited from IClassifier.) |
![]() | NumberOfInputs |
Gets or sets the number of inputs accepted by the model.
(Inherited from ITransform.) |
![]() | NumberOfOutputs |
Gets or sets the number of outputs generated by the model.
(Inherited from ITransform.) |
Name | Description | |
---|---|---|
![]() | Decide(TInput) |
Computes a class-label decision for a given input.
(Inherited from IClassifierTInput, TClasses.) |
![]() | Decide(TInput) |
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.) |
![]() | Decide(TInput, TClasses) |
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.) |
![]() | Decide(TInput, TClasses) |
Computes class-label decisions for the given input.
(Inherited from IMultilabelClassifierTInput, TClasses.) |
![]() | Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
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![]() | Score(TInput, Int32) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
|
![]() | Score(TInput, Int32) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
|
![]() | Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
|
![]() | Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and the
given classIndex.
|
![]() | Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
|
![]() | Scores(TInput) |
Computes a numerical score measuring the association between
each of the given input vectors and each
possible class.
|
![]() | Scores(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.) |
![]() | Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
|
![]() | Scores(TInput, Double) |
Computes a numerical score measuring the association between
each of the given input vectors and each
possible class.
|
![]() | Scores(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.) |
![]() | Scores(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.) |
![]() | Scores(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.) |
![]() | ToMulticlass |
Views this instance as a multi-class score-based classifier.
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![]() | ToMulticlassT |
Views this instance as a multi-class score-based classifier.
|
![]() | Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.) |
![]() | Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.) |
![]() | Transform(TInput, TOutput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ITransformTInput, TOutput.) |