BinaryScoreClassifierBaseTInput Class

Base class for score-based binary classifiers.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearningTransformBaseTInput, Boolean
    Accord.MachineLearningClassifierBaseTInput, Boolean
      Accord.MachineLearningBinaryClassifierBaseTInput
        Accord.MachineLearningBinaryScoreClassifierBaseTInput
          Accord.MachineLearningBinaryLikelihoodClassifierBaseTInput

Namespace: Accord.MachineLearning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

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[SerializableAttribute]
public abstract class BinaryScoreClassifierBase<TInput> : BinaryClassifierBase<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>

<SerializableAttribute>
Public MustInherit Class BinaryScoreClassifierBase(Of TInput)
	Inherits BinaryClassifierBase(Of TInput)
	Implements IBinaryScoreClassifier(Of TInput), IBinaryClassifier(Of TInput), 
	IMulticlassClassifier(Of TInput), IMultilabelClassifier(Of TInput), IMultilabelClassifier(Of TInput, Integer()), 
	IClassifier(Of TInput, Integer()), IClassifier, ITransform(Of TInput, Integer()), 
	ICovariantTransform(Of TInput, Integer()), ITransform, IMultilabelClassifier(Of TInput, Boolean()), 
	IClassifier(Of TInput, Boolean()), ITransform(Of TInput, Boolean()), 
	ICovariantTransform(Of TInput, Boolean()), IMultilabelClassifier(Of TInput, Double()), 
	IClassifier(Of TInput, Double()), ITransform(Of TInput, Double()), 
	ICovariantTransform(Of TInput, Double()), IMulticlassClassifier(Of TInput, Integer), 
	IClassifier(Of TInput, Integer), ITransform(Of TInput, Integer), 
	ICovariantTransform(Of TInput, Integer), IMulticlassClassifier(Of TInput, Double), 
	IClassifier(Of TInput, Double), ITransform(Of TInput, Double), 
	ICovariantTransform(Of TInput, Double), IClassifier(Of TInput, Boolean), 
	ITransform(Of TInput, Boolean), ICovariantTransform(Of TInput, Boolean), 
	IMulticlassOutScoreClassifier(Of TInput, Boolean), IMulticlassScoreClassifierBase(Of TInput, Boolean), 
	IMultilabelOutScoreClassifier(Of TInput, Boolean), IMultilabelScoreClassifierBase(Of TInput, Boolean), 
	IMulticlassScoreClassifier(Of TInput), IMulticlassScoreClassifier(Of TInput, Integer), 
	IMulticlassOutScoreClassifier(Of TInput, Integer), IMulticlassScoreClassifierBase(Of TInput, Integer), 
	IMultilabelOutScoreClassifier(Of TInput, Integer), IMultilabelScoreClassifierBase(Of TInput, Integer), 
	IMulticlassRefScoreClassifier(Of TInput, Integer()), IMultilabelRefScoreClassifier(Of TInput, Integer()), 
	IMultilabelScoreClassifierBase(Of TInput, Integer()), IMulticlassScoreClassifier(Of TInput, Double), 
	IMulticlassOutScoreClassifier(Of TInput, Double), IMulticlassScoreClassifierBase(Of TInput, Double), 
	IMultilabelOutScoreClassifier(Of TInput, Double), IMultilabelScoreClassifierBase(Of TInput, Double), 
	IMulticlassRefScoreClassifier(Of TInput, Double()), IMultilabelRefScoreClassifier(Of TInput, Double()), 
	IMultilabelScoreClassifierBase(Of TInput, Double()), IMulticlassRefScoreClassifier(Of TInput, Boolean()), 
	IMultilabelRefScoreClassifier(Of TInput, Boolean()), IMultilabelScoreClassifierBase(Of TInput, Boolean()), 
	IMultilabelScoreClassifier(Of TInput), IMultilabelScoreClassifier(Of TInput, Integer), 
	IMultilabelScoreClassifier(Of TInput, Double)

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Type Parameters

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

The BinaryScoreClassifierBaseTInput type exposes the following members.

Constructors

	Name	Description
	BinaryScoreClassifierBaseTInput	Initializes a new instance of the BinaryScoreClassifierBaseTInput class

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Properties

	Name	Description
	NumberOfClasses	Gets the number of classes expected and recognized by the classifier. (Inherited from ClassifierBaseTInput, TClasses.)
	NumberOfInputs	Gets the number of inputs accepted by the model. (Inherited from TransformBaseTInput, TOutput.)
	NumberOfOutputs	Gets the number of outputs generated by the model. (Inherited from TransformBaseTInput, TOutput.)

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Methods

	Name	Description
	Decide(TInput)	Computes a class-label decision for a given input. (Overrides ClassifierBaseTInput, TClassesDecide(TInput).)
	Decide(TInput)	Computes class-label decisions for a given set of input vectors. (Inherited from ClassifierBaseTInput, TClasses.)
	Decide(TInput, Boolean)	Computes class-label decisions for the given input. (Inherited from BinaryClassifierBaseTInput.)
	Decide(TInput, Boolean)	Computes a class-label decision for a given input. (Overrides ClassifierBaseTInput, TClassesDecide(TInput, TClasses).)
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Score(TInput)	Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).
	Score(TInput)	Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).
	Score(TInput, Boolean)	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.
	Score(TInput, Boolean)	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.
	Score(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class.
	Score(TInput, Boolean, 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.
	Score(TInput, Double, 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.
	Score(TInput, Int32, 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.
	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 the given input vector and each class.
	Scores(TInput, Boolean)	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.
	Scores(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class.
	Scores(TInput, Boolean)	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.
	Scores(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class.
	Scores(TInput, Boolean, 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.
	Scores(TInput, Boolean, 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.
	Scores(TInput, Double, 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.
	Scores(TInput, Int32, 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.
	ToMulticlass	Views this instance as a multi-class distance classifier, giving access to more advanced methods, such as the prediction of integer labels.
	ToMulticlassT	Views this instance as a multi-class distance classifier, giving access to more advanced methods, such as the prediction of integer labels.
	ToMultilabel	Views this instance as a multi-label distance classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from ClassifierBaseTInput, TClasses.)
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from TransformBaseTInput, TOutput.)
	Transform(TInput, Boolean)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Boolean)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Overrides BinaryClassifierBaseTInputTransform(TInput, Double).)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Overrides BinaryClassifierBaseTInputTransform(TInput, Double).)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Overrides BinaryClassifierBaseTInputTransform(TInput, Double).)
	Transform(TInput, TClasses)	Applies the transformation to an input, producing an associated output. (Inherited from ClassifierBaseTInput, TClasses.)

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

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Reference

Accord.MachineLearning Namespace

BinaryScoreClassifierBaseAddLanguageSpecificTextSet("LST621E50D5_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInputAddLanguageSpecificTextSet("LST621E50D5_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

BinaryScoreClassifierBaseTInput Class