MultiLogisticRegression Class Reference

#include <ImFusion/Base/MultiLogisticRegression.h>

Class for multiple logistic regressions (to be used for multi-label classification) More...

Inheritance diagram for MultiLogisticRegression:

Detailed Description

Class for multiple logistic regressions (to be used for multi-label classification)

Public Member Functions
	MultiLogisticRegression (int dimFeatures)
void	train (float **data, const float *labels, size_t nData) override
float	predict (const float *data) const override
void	configure (const Properties *p) override
	Configure this object instance by de-serializing the given Properties.
void	configuration (Properties *p) const override
	Serialize the current object configuration into the given Properties object.
void	train (const std::vector< std::vector< float > > &data, const std::vector< float > &labels)
float	predict (const std::vector< float > &data) const
Public Member Functions inherited from Regression
	Regression (int dimFeatures)
void	train (const std::vector< std::vector< float > > &data, const std::vector< float > &labels)
float	predict (const std::vector< float > &data) const
virtual float	computeResiduals (float **data, const float *labels, size_t nData) const
void	configure (const Properties *p) override
	Configure this object instance by de-serializing the given Properties.
void	configuration (Properties *p) const override
	Serialize the current object configuration into the given Properties object.
const float *	weights () const
Public Member Functions inherited from Configurable
virtual void	configureDefaults ()
	Retrieve the properties of this object, replaces values with their defaults and sets it again.
void	registerParameter (ParameterBase *param)
	Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration().
void	unregisterParameter (const ParameterBase *param)
	Remove the given Parameter or SubProperty from the list of registered parameters.
	Configurable (const Configurable &rhs)
	Configurable (Configurable &&rhs) noexcept
Configurable &	operator= (const Configurable &)
Configurable &	operator= (Configurable &&) noexcept

Additional Inherited Members
Public Attributes inherited from Configurable
Signal	signalParametersChanged
	Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
Protected Member Functions inherited from Regression
virtual void	initializeWeights ()
void	trainBalanced (float **data, const float *labels, size_t nData)
void	generateBalancedData (float **features, const float *labels, size_t nData, float **&balancedFeatures, float *&balancedLabels, size_t &balancedNbData)
Protected Attributes inherited from Regression
int	m_dimFeatures
std::vector< float >	m_weights
bool	m_rebalanceDataset
Protected Attributes inherited from Configurable
std::vector< Param >	m_params
	List of all registered Parameter and SubProperty instances.

Member Function Documentation

train()

void train ( float ** data, const float * labels, size_t nData )

overridevirtual

Implements Regression.

predict()

float predict ( const float * data ) const

overridevirtual

Implements Regression.

configure()

void configure ( const Properties * p )

overridevirtual

Configure this object instance by de-serializing the given Properties.

The default implementation will do so automatically for all registered Parameter and SubProperty instances.

See also

configuration() for the inverse functionality

Reimplemented from Configurable.

configuration()

void configuration ( Properties * p ) const

overridevirtual

Serialize the current object configuration into the given Properties object.

The default implementation will do so automatically for all registered Parameter and SubProperty instances.

See also

configure() for the inverse functionality

Reimplemented from Configurable.

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

• ImFusion/Base/MultiLogisticRegression.h