Collaboration diagram for mltk::featselect::FeatureSelection< T >:

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Public Member Functions
virtual Data< T >	selectFeatures ()=0
	Function that executes the feature selection phase. More...

void	setSamples (const std::shared_ptr< Data< T > > &samples)
	setSamples Set the samples used for the FeatureSelection. More...

void	setSamples (const Data< T > &samples)

void	setClassifier (classifier::Classifier< T > *classifier)
	setClassifier Set the classifier used for the FeatureSelection. More...

void	setFinalDimension (int final_dim)
	setFinalDimension Set the classifier used for the FeatureSelection. More...

void	setDepth (int depth)
	setDepth Set the depth of the search. More...

void	setJump (int jump)
	setJump Set the jump value. More...

void	setSkip (int skip)
	setSkip Set the skip value. More...

void	setVerbose (int verbose)
	setVerbose Set the verbose level. More...

void	setCrossValidation (validation::CrossValidation *cv)
	setCrossValidation Set the cross validation structure. More...

Protected Attributes
std::shared_ptr< Data< T > >	samples
	Attributes. More...

classifier::Classifier< T > *	classifier
	Classifier used by the method. More...

validation::CrossValidation *	cv
	Structure to hold the cross-validation result. More...

Solution	solution
	Solution of the feature selection. More...

Timer	timer
	Timer for time measuring. More...

const int	MAX_DEPTH = 99999
	Max depth of search constant. More...

const int	MAX_BREATH = 99999
	Max breadth of search constant. More...

const double	NUM_ERROR_EPS = 0.05
	Error tolerance constant. More...

int	depth = 0
	Depth of search. More...

int	final_dim = 0
	Final dimension. More...

int	jump = 0
	Jump size. More...

int	skip = 0
	Number of levels to be skipped. More...

bool	leave_one_out = false
	Leave one out. More...

int	verbose = 0
	Verbose level. More...

Member Function Documentation

◆ selectFeatures()

template<typename T >

virtual Data<T> mltk::featselect::FeatureSelection< T >::selectFeatures ( )

pure virtual

Function that executes the feature selection phase.

Returns: void std::shared_ptr<Data< T > >

Implemented in mltk::featselect::RFE< T >, mltk::featselect::Golub< T >, mltk::featselect::Fisher< T >, and mltk::featselect::AOS< T >.

◆ setClassifier()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setClassifier ( classifier::Classifier< T > * classifier )

inline

setClassifier Set the classifier used for the FeatureSelection.

Parameters

classifier Reference to the classifier to be used.

◆ setCrossValidation()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setCrossValidation ( validation::CrossValidation * cv )

inline

setCrossValidation Set the cross validation structure.

Parameters

cv	Cross validation structure.

◆ setDepth()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setDepth ( int depth )

inline

setDepth Set the depth of the search.

Parameters

depth Depth of search.

◆ setFinalDimension()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setFinalDimension ( int final_dim )

inline

setFinalDimension Set the classifier used for the FeatureSelection.

Parameters

final_dim The final number of dimensions.

◆ setJump()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setJump ( int jump )

inline

setJump Set the jump value.

Parameters

jump	Jump value.

◆ setSamples()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setSamples ( const std::shared_ptr< Data< T > > & samples )

inline

setSamples Set the samples used for the FeatureSelection.

Parameters

samples Samples to be used.

◆ setSkip()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setSkip ( int skip )

inline

setSkip Set the skip value.

Parameters

skip	Skip value.

◆ setVerbose()

template<typename T >

void mltk::featselect::FeatureSelection< T >::setVerbose ( int verbose )

inline

setVerbose Set the verbose level.

Parameters

verbose Verbose level.

Member Data Documentation

◆ classifier

template<typename T >

classifier::Classifier<T>* mltk::featselect::FeatureSelection< T >::classifier

protected

Classifier used by the method.

◆ cv

template<typename T >

validation::CrossValidation* mltk::featselect::FeatureSelection< T >::cv

protected

Structure to hold the cross-validation result.

◆ depth

template<typename T >

int mltk::featselect::FeatureSelection< T >::depth = 0

protected

Depth of search.

◆ final_dim

template<typename T >

int mltk::featselect::FeatureSelection< T >::final_dim = 0

protected

Final dimension.

◆ jump

template<typename T >

int mltk::featselect::FeatureSelection< T >::jump = 0

protected

Jump size.

◆ leave_one_out

template<typename T >

bool mltk::featselect::FeatureSelection< T >::leave_one_out = false

protected

Leave one out.

◆ MAX_BREATH

template<typename T >

const int mltk::featselect::FeatureSelection< T >::MAX_BREATH = 99999

protected

Max breadth of search constant.

◆ MAX_DEPTH

template<typename T >

const int mltk::featselect::FeatureSelection< T >::MAX_DEPTH = 99999

protected

Max depth of search constant.

◆ NUM_ERROR_EPS

template<typename T >

const double mltk::featselect::FeatureSelection< T >::NUM_ERROR_EPS = 0.05

protected

Error tolerance constant.

◆ samples

template<typename T >

std::shared_ptr<Data<T> > mltk::featselect::FeatureSelection< T >::samples

protected

Attributes.

Samples where the features will be selected

◆ skip

template<typename T >

int mltk::featselect::FeatureSelection< T >::skip = 0

protected

Number of levels to be skipped.

◆ solution

template<typename T >

Solution mltk::featselect::FeatureSelection< T >::solution

protected

Solution of the feature selection.

◆ timer

template<typename T >

Timer mltk::featselect::FeatureSelection< T >::timer

protected

Timer for time measuring.

◆ verbose

template<typename T >

int mltk::featselect::FeatureSelection< T >::verbose = 0

protected

Verbose level.

The documentation for this class was generated from the following file:

featselect/FeatureSelection.hpp

Public Member Functions

Protected Attributes

Member Function Documentation

◆ selectFeatures()

◆ setClassifier()

◆ setCrossValidation()

◆ setDepth()

◆ setFinalDimension()

◆ setJump()

◆ setSamples()

◆ setSkip()

◆ setVerbose()

Member Data Documentation

◆ classifier

◆ cv

◆ depth

◆ final_dim

◆ jump

◆ leave_one_out

◆ MAX_BREATH

◆ MAX_DEPTH

◆ NUM_ERROR_EPS

◆ samples

◆ skip

◆ solution

◆ timer

◆ verbose