ImFusion::LinearRegression Class Reference

#include <ImFusion/Base/LinearRegression.h>

Class for linear regression. More...

Inheritance diagram for ImFusion::LinearRegression:

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 ImFusion::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 ImFusion::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 ImFusion::Configurable
Signal	signalParametersChanged
	Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
Protected Member Functions inherited from ImFusion::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 ImFusion::Regression
int	m_dimFeatures
std::vector< float >	m_weights
bool	m_rebalanceDataset
Protected Attributes inherited from ImFusion::Configurable
std::vector< Param >	m_params
	List of all registered Parameter and SubProperty instances.

Member Function Documentation

train()

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

overridevirtual

Implements ImFusion::Regression.

predict()

float ImFusion::LinearRegression::predict ( const float * data ) const

overridevirtual

Implements ImFusion::Regression.

computeResiduals()

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

virtual

Reimplemented from ImFusion::Regression.

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

• ImFusion/Base/LinearRegression.h