Detailed Description

Class for linear regression.

Public Member Functions
	LinearRegression (int dimFeatures)

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

float	predict (const float *data) const override

template<typename T>
void	train (const std::vector< T > &x, const std::vector< T > &y)
	Convenience method for line fitting on 2D dataset.

template<typename T>
float	computeResiduals (const std::vector< T > &x, const std::vector< T > &y)

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

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

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.

◆ computeResiduals()

virtual float computeResiduals	(	float **	data,
		const float *	labels,
		size_t	nData ) const

virtual

Reimplemented from Regression.

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

ImFusion/Base/LinearRegression.h

Detailed Description

Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ train()

◆ predict()

◆ computeResiduals()