C# Класс MCAEmotiv.Classification.AbstractBinaryClassifier

Наследование: AbstractClassifier, IBinaryClassifier

Открытые методы

Метод	Описание
GetBinaryClass ( int cls ) : bool?	Returns true if cls maps to a positive example, false if cls maps to a negative example, and null if there is no mapping for cls.

Защищенные методы

Метод	Описание
ConvertToBinaryExample ( Example nonBinaryExample ) : Example	Returns an example whose class is the binary equivalent of the given example's class and whose features are the same as the given example's features
PredictBinary ( Example binaryExample, double &confidence ) : int	Classify as NegativeExampleValue or PositiveExampleValue
PredictHelper ( Example example, double &confidence ) : int	Calls PredictBinary, and then converts the prediction back to a regular class value.
TrainBinary ( IArrayView binaryExamples ) : void	The values of the pairs are the labels mapped to either NegativeExampleValue or PositiveExampleValue.
TrainHelper ( IArrayView examples ) : void	Converts the examples to have binary class values, then calls TrainBinary. The mappings from regular classes to binary classes are stored until future calls to TrainHelper.

Описание методов

ConvertToBinaryExample() защищенный Метод

Returns an example whose class is the binary equivalent of the given example's class and whose features are the same as the given example's features

protected ConvertToBinaryExample ( Example nonBinaryExample ) : Example
nonBinaryExample	Example
Результат	Example

GetBinaryClass() публичный Метод

Returns true if cls maps to a positive example, false if cls maps to a negative example, and null if there is no mapping for cls.

public GetBinaryClass ( int cls ) : bool?
cls	int
Результат	bool?

PredictBinary() защищенный абстрактный Метод

Classify as NegativeExampleValue or PositiveExampleValue

protected abstract PredictBinary ( Example binaryExample, double &confidence ) : int
binaryExample	Example
confidence	double
Результат	int

PredictHelper() защищенный Метод

Calls PredictBinary, and then converts the prediction back to a regular class value.

protected PredictHelper ( Example example, double &confidence ) : int
example	Example
confidence	double
Результат	int

TrainBinary() защищенный абстрактный Метод

The values of the pairs are the labels mapped to either NegativeExampleValue or PositiveExampleValue.

protected abstract TrainBinary ( IArrayView binaryExamples ) : void
binaryExamples	IArrayView
Результат	void

TrainHelper() защищенный Метод

Converts the examples to have binary class values, then calls TrainBinary. The mappings from regular classes to binary classes are stored until future calls to TrainHelper.

protected TrainHelper ( IArrayView examples ) : void
examples	IArrayView
Результат	void