CEBL::LDA Class Reference

#include <LDA.hpp>

Public Member Functions
	LDA ()
void	train (const EEGTrainingData &)
	train classifier over training data set
ublas::vector< int >	use (const ublas::matrix< double > &)
	use classifier on data and return class
std::map< std::string, CEBL::Param >	getParamsList ()
	get and set the parameter list to the feature extractor
void	setParamsList (std::map< std::string, CEBL::Param > &)
	set list of parameters
map< string, SerializedObject >	save () const
void	load (map< string, SerializedObject > objects)
Public Member Functions inherited from CEBL::Classifier
	Classifier ()
virtual	~Classifier ()
bool	isTrained ()
void	reset (CEBL::Param param)
virtual bool	getProbabilitiesFlag ()
virtual void	setProbabilitiesFlag (bool flag)
virtual std::vector < std::vector< double > >	getProbabilities ()
int	getTrainedClasses ()
int	getTrainedLags ()
virtual void	update (const EEGTrainingData &data)
Public Member Functions inherited from CEBL::Plugin
	Plugin ()
virtual	~Plugin ()
void	halt ()
	tell classifier to halt
string	getName () const
	get the name of the plugin
virtual void	load (map< string, SerializedObject > objects)
	load plugin from list of objects

Additional Inherited Members
Protected Attributes inherited from CEBL::Classifier
bool	trained
bool	compute_probs
std::vector< std::vector < double > >	probabilities
int	using_classes
int	using_lags
int	trained_classes
int	trained_lags
Protected Attributes inherited from CEBL::Plugin
string	plugin_name
bool	should_halt

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Detailed Description

Definition at line 25 of file LDA.hpp.

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Constructor & Destructor Documentation

CEBL::LDA::LDA ( )

inline

Definition at line 40 of file LDA.hpp.

References CEBL::Plugin::plugin_name.

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Member Function Documentation

std::map< std::string, CEBL::Param > CEBL::LDA::getParamsList ( )

virtual

get and set the parameter list to the feature extractor

get list of parameters needed for classifier

Reimplemented from CEBL::Plugin.

Definition at line 179 of file LDA.cpp.

void CEBL::LDA::load

(

map< string, SerializedObject >

objects

)

Loads state from serialization.

Parameters:

objects

map of serialized objects

Definition at line 166 of file LDA.cpp.

References CEBL::deserialize().

map< string, SerializedObject > CEBL::LDA::save ( ) const

virtual

Serializes state information.

Returns:

map of serialized state

Reimplemented from CEBL::Plugin.

Definition at line 150 of file LDA.cpp.

References CEBL::serialize().

void CEBL::LDA::setParamsList ( std::map< std::string, CEBL::Param > &  p )

virtual

set list of parameters

Reimplemented from CEBL::Plugin.

Definition at line 191 of file LDA.cpp.

void CEBL::LDA::train ( const EEGTrainingData &  data )

virtual

train classifier over training data set

Trains LDA classifier using training data.

Parameters:

data	training data

Implements CEBL::Classifier.

Definition at line 14 of file LDA.cpp.

References EEGTrainingData::collapse(), cppR::colMeans(), cppR::compProd(), cppR::createMask(), cppR::createMatrix(), cppR::createVector(), EEGTrainingData::getTargets(), cppR::ncol(), cppR::nrow(), cppR::rowMask(), cppR::rowSums(), cppR::solve(), cppR::t(), and cppR::unique().

ublas::vector< int > CEBL::LDA::use ( const ublas::matrix< double > &  data )

virtual

use classifier on data and return class

Classifies data samples.

Parameters:

data	samples to classify

Returns:

vector of predicted classes

Implements CEBL::Classifier.

Definition at line 82 of file LDA.cpp.

References cppR::apply(), cppR::asStdVector(), cppR::compDiv(), cppR::createMatrix(), cppR::nrow(), cppR::rowSums(), cppR::t(), and cppR::whichMax().

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

• plugins/classifiers/LDA.hpp
• plugins/classifiers/LDA.cpp