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IScoreTaggerTInput Interface

Common interface for observation sequence taggers.

Namespace:  Accord.MachineLearning
Assembly:  Accord (in Accord.dll) Version: 3.8.0
Syntax
public interface IScoreTagger<in TInput> : ITagger<TInput>, 
	IMultilabelClassifier<TInput[], int[]>, IClassifier<TInput[], int[]>, 
	IClassifier, ITransform<TInput[], int[]>, ICovariantTransform<TInput[], int[]>, 
	ITransform
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Type Parameters

TInput

The IScoreTaggerTInput 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 IClassifierTInput, TClasses.)
Public methodDecide(TInput)
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.)
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 methodScores(TInput)
Computes numerical scores measuring the association between each of the given sequence vectors and each possible class.
Public methodScores(TInput)
Computes numerical scores measuring the association between each of the given sequences vectors and each possible class.
Public methodScores(TInput, Double)
Computes numerical scores measuring the association between each of the given sequence vectors and each possible class.
Public methodScores(TInput, Int32)
Computes numerical scores measuring the association between each of the given sequence vectors and each possible class.
Public methodScores(TInput, Double)
Computes numerical scores measuring the association between each of the given sequences vectors and each possible class.
Public methodScores(TInput, Int32)
Computes numerical scores measuring the association between each of the given sequences vectors and each possible class.
Public methodScores(TInput, Int32, Double)
Computes numerical scores measuring the association between each of the given sequence vectors and each possible class.
Public methodScores(TInput, Int32, Double)
Computes numerical scores measuring the association between each of the given sequences vectors and each possible class.
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