ClassificationPredictorFactory Class Reference

Predictor factory for classification predictor. More...

#include <classification_predictor_factory.hpp>

Inherits PredictorFactoryBaseEx.

Public Member Functions
	ClassificationPredictorFactory (ClassificationType usageType)
	Constructor.
ClassificationType	Usage () const noexcept
	Gets the type of classification for which to generate the predictor.
void	SetUsage (ClassificationType usage)
	Sets the type of classification for which to generate the predictor.
void	UseSettingsFromPredictor (const ClassificationPredictor &clf)
	Copy the predictor generation settings from a predictor.
void	UseSettingsFromTestResult (const ClassificationTestResult &res)
	Copy the predictor generation settings from a test result.
Public Member Functions inherited from PredictorFactoryBaseEx
InterpolationType	Interpolation () const noexcept
	Gets the interpolation setting to be used for generating this object.
void	SetInterpolation (InterpolationType interpolation) noexcept
	Sets the interpolation setting to be used for generating this object. Using interpolation will generate less artifacts, but requires more processor time.
int	FeatureResolution () const noexcept
	Gets the feature resolution (determines the size of the classification retina).
void	SetFeatureResolution (int featureResolution)
	Sets the feature resolution (determines the size of the classification retina).
Public Member Functions inherited from PredictorFactoryBase
double	Lambda () const noexcept
	Gets the regularization value to be used for generating the object.
void	SetLambda (double lambda)
	Sets the regularization value to be used for generating the object. Possible values range from 0 to 10, good starting values for experiments are usually around 0.01.
String	Preprocessing () const
	Get preprocessing code with which the object is to be generated.
void	SetPreprocessing (const String &code)
	Set preprocessing code with which the object is to be generated.

Additional Inherited Members
Static Public Member Functions inherited from PredictorFactoryBase
static ValueRange< double >	LambdaRange ()
	Acceptable scale factor range for search classifier training.
static ValueRange< int >	FeatureResolutionRange ()
	Valid range of feature resolution value.
static constexpr std::array< char, 4 >	PreprocessingValidCharacters ()
	Characters that a preprocessing string may contain.
static String	FormatPreprocessingCode (const String &input)
	Correct a preprocessing code to make sure that no invalid characters are in the code and the code does not exceed the maximum length.
Static Public Attributes inherited from PredictorFactoryBaseEx
static constexpr InterpolationType	InterpolationDefault = InterpolationType::Linear
	Default value for interpolation.
Static Public Attributes inherited from PredictorFactoryBase
static constexpr double	LambdaDefault = 0.1
	Default value for lambda.
static constexpr int	FeatureResolutionDefault = 1
	Default value for feature resolution.
static constexpr int	PreprocessingMaxLength = 15
	Maximum length of a preprocessing code (excluding the terminating zero).

Detailed Description

Predictor factory for classification predictor.

cvb/polimago/classification_predictor_factory.hpp

Constructor & Destructor Documentation

ClassificationPredictorFactory()

ClassificationPredictorFactory ( ClassificationType usageType )

inlineexplicit

Constructor.

Parameters

[in]

usageType

The type of predictor to be generated.

Exceptions

Any	exception derived from std::exception including CvbException.

Member Function Documentation

SetUsage()

void SetUsage ( ClassificationType usage )

inline

Sets the type of classification for which to generate the predictor.

Parameters

[in]

usage

The classification type.

Exceptions

Any	exception derived from std::exception including CvbException.

Usage()

ClassificationType Usage ( ) const

inlinenoexcept

Gets the type of classification for which to generate the predictor.

Returns

The classification type.

Exceptions

Does	not throw any exception.

UseSettingsFromPredictor()

void UseSettingsFromPredictor ( const ClassificationPredictor & clf )

inline

Copy the predictor generation settings from a predictor.

Parameters

[in]

clf

Predictor to take the settings from.

Exceptions

Any	exception derived from std::exception including CvbException.

UseSettingsFromTestResult()

void UseSettingsFromTestResult ( const ClassificationTestResult & res )

inline

Copy the predictor generation settings from a test result.

Parameters

[in]

res

Test result object from which to adopt the training settings.

Exceptions

Any	exception derived from std::exception including CvbException.