WeakClassifier Class Reference

Inheritance diagram for WeakClassifier:

Public Types
typedef std::map< std::string, WeakClassifier *(*)() >	StringWeakClassifierMap

Public Member Functions
	WeakClassifier ()
virtual	~WeakClassifier ()
	WeakClassifier (const WeakClassifier &rhs)
WeakClassifier &	operator= (const WeakClassifier &rhs)
bool	copyBaseVariables (const WeakClassifier *weakClassifer)
virtual bool	deepCopyFrom (const WeakClassifier *weakClassifer)
virtual bool	train (ClassificationData &trainingData, VectorFloat &weights)
virtual Float	predict (const VectorFloat &x)
virtual bool	saveModelToFile (std::fstream &file) const
virtual bool	loadModelFromFile (std::fstream &file)
virtual void	print () const
virtual Float	getPositiveClassLabel () const
virtual Float	getNegativeClassLabel () const
std::string	getWeakClassifierType () const
bool	getTrained () const
UINT	getNumInputDimensions () const
WeakClassifier *	createNewInstance () const

Static Public Member Functions
static WeakClassifier *	createInstanceFromString (std::string const &weakClassifierType)

Static Protected Member Functions
static StringWeakClassifierMap *	getMap ()

Protected Attributes
std::string	weakClassifierType
	A string that represents the weak classifier type, e.g. DecisionStump.
bool	trained
	A flag to show if the weak classifier model has been trained.
UINT	numInputDimensions
	The number of input dimensions to the weak classifier.
TrainingLog	trainingLog
ErrorLog	errorLog
WarningLog	warningLog

Detailed Description

Definition at line 40 of file WeakClassifier.h.

Member Typedef Documentation

typedef std::map< std::string, WeakClassifier*(*)() > WeakClassifier::StringWeakClassifierMap

Defines a map between a string (which will contain the name of the WeakClassifier, such as DecisionStump) and a function returns a new instance of that WeakClassifier

Definition at line 169 of file WeakClassifier.h.

Constructor & Destructor Documentation

WeakClassifier::WeakClassifier

(

)

Default Constructor.

Definition at line 45 of file WeakClassifier.cpp.

WeakClassifier::~WeakClassifier ( )

virtual

Default Destructor.

Definition at line 52 of file WeakClassifier.cpp.

WeakClassifier::WeakClassifier ( const WeakClassifier &  rhs )

inline

Copy Constructor. Defines how the data from the rhs instance are copied to this instance.

Parameters

rhs	the rhs instance from which the data will be copied to this instance

Definition at line 57 of file WeakClassifier.h.

Member Function Documentation

bool WeakClassifier::copyBaseVariables

(

const WeakClassifier *

weakClassifer

)

This function copies the WeakClassifier base variables from the weakClassifer pointer to this instance.

Parameters

weakClassifer

the instance from which the data will be copied to this instance

Returns

returns true if the base variables were copied, false otherwise

Definition at line 71 of file WeakClassifier.cpp.

WeakClassifier * WeakClassifier::createInstanceFromString ( std::string const &  weakClassifierType )

static

Creates a new WeakClassifier instance based on the input string (which should contain the name of a valid WeakClassifier such as DecisionStump).

Parameters

weakClassifierType

the name of the WeakClassifier

Returns

WeakClassifier*: a pointer to the new instance of the WeakClassifier

Definition at line 36 of file WeakClassifier.cpp.

WeakClassifier * WeakClassifier::createNewInstance

(

)

const

Creates a new WeakClassifier instance based on the current weakClassifierType string value.

Returns

WeakClassifier*: a pointer to the new instance of the WeakClassifier

Definition at line 82 of file WeakClassifier.cpp.

virtual bool WeakClassifier::deepCopyFrom ( const WeakClassifier *  weakClassifer )

inlinevirtual

This function performs a deep copy of the inherited classes variables from the weakClassifer pointer instance to this instance. This function should be overwritten in the inheriting class.

Parameters

const

WeakClassifier *weakClassifer: the instance from which the data will be deep copied to this instance

Returns

returns true if the deep copy was successful, false otherwise

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 84 of file WeakClassifier.h.

virtual Float WeakClassifier::getNegativeClassLabel ( ) const

inlinevirtual

Returns

returns the negative class label for this WeakClassifier

Definition at line 143 of file WeakClassifier.h.

UINT WeakClassifier::getNumInputDimensions ( ) const

inline

Returns

returns the number of input dimensions expected by the WeakClassifier

Definition at line 162 of file WeakClassifier.h.

virtual Float WeakClassifier::getPositiveClassLabel ( ) const

inlinevirtual

Returns

returns the positive class label for this WeakClassifier

Definition at line 138 of file WeakClassifier.h.

bool WeakClassifier::getTrained ( ) const

inline

Returns

returns true if the WeakClassifier model has been trained, false otherwise

Definition at line 155 of file WeakClassifier.h.

std::string WeakClassifier::getWeakClassifierType ( ) const

inline

Returns

returns the weak classifier type as a string, e.g. DecisionStump

Definition at line 148 of file WeakClassifier.h.

virtual bool WeakClassifier::loadModelFromFile ( std::fstream &  file )

inlinevirtual

This function can be used to load the WeakClassifier model and settings. This function should be overwritten in the inheriting class.

Parameters

file	a reference to the file that the model will be saved to

Returns

returns true if the data was loaded, false otherwise

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 127 of file WeakClassifier.h.

WeakClassifier & WeakClassifier::operator=

(

const WeakClassifier &

rhs

)

Equals Operator. Defines how the data from the rhs instance are copied to this instance.

Parameters

rhs	the rhs instance from which the data will be copied to this instance

Returns

returns a reference to this WeakClassifier instance

Definition at line 59 of file WeakClassifier.cpp.

virtual Float WeakClassifier::predict ( const VectorFloat &  x )

inlinevirtual

This function is the main predict interface for all the WeakClassifiers. This function should be overwritten in the inheriting class.

Parameters

x	the input vector to be classified, should have the same dimensionality as the data used to train the model

Returns

returns a Float value representing the prediction, which is normally -1 or +1

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 107 of file WeakClassifier.h.

virtual void WeakClassifier::print ( ) const

inlinevirtual

This function can be used to print the WeakClassifier model and settings. This function should be overwritten in the inheriting class.

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 133 of file WeakClassifier.h.

virtual bool WeakClassifier::saveModelToFile ( std::fstream &  file ) const

inlinevirtual

This function can be used to save the WeakClassifier model and settings. This function should be overwritten in the inheriting class.

Parameters

file	a reference to the file that the model will be saved to

Returns

returns true if the data was saved, false otherwise

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 118 of file WeakClassifier.h.

virtual bool WeakClassifier::train ( ClassificationData &  trainingData, VectorFloat &  weights  )

inlinevirtual

This function is the main training interface for all the WeakClassifiers. This function should be overwritten in the inheriting class.

Parameters

trainingData	a reference to the training data that will be used to train the weak classifier model
weights	the weight for each training sample, there should be as many weights as there are training samples

Returns

returns true if the weak classifier model was trained successful, false otherwise

Reimplemented in RadialBasisFunction, and DecisionStump.

Definition at line 96 of file WeakClassifier.h.

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

• WeakClassifier.h
• WeakClassifier.cpp