LeastSquares Class Reference

Ordinary and weighted Least squares algorithm. More...

#include <LeastSquares.hpp>

Collaboration diagram for LeastSquares:

Public Types
enum	RegressionType { REGULAR, WEIGHTED }

Public Member Functions
	LeastSquares (MatrixD data, MatrixD labels, RegressionType regType=REGULAR)
RegressionType	getRegressionType () const
void	setRegressionType (RegressionType regressionType)
void	fit ()
MatrixD	predict (MatrixD m)
const MatrixD &	getCoefs () const
const MatrixD &	getResiduals () const

Private Attributes
MatrixD	X
MatrixD	y
MatrixD	coefs
MatrixD	residuals
RegressionType	regressionType

Detailed Description

Ordinary and weighted Least squares algorithm.

Definition at line 17 of file LeastSquares.hpp.

Member Enumeration Documentation

RegressionType

enum LeastSquares::RegressionType

Enumerator
REGULAR
WEIGHTED

Definition at line 19 of file LeastSquares.hpp.

Constructor & Destructor Documentation

LeastSquares()

LeastSquares::LeastSquares ( MatrixD  data, MatrixD  labels, RegressionType  regType = REGULAR  )

inline

Definition at line 26 of file LeastSquares.hpp.

Member Function Documentation

fit()

void LeastSquares::fit ( )

inline

Definition at line 40 of file LeastSquares.hpp.

getCoefs()

const MatrixD& LeastSquares::getCoefs ( ) const

inline

Definition at line 70 of file LeastSquares.hpp.

getRegressionType()

RegressionType LeastSquares::getRegressionType ( ) const

inline

Definition at line 32 of file LeastSquares.hpp.

getResiduals()

const MatrixD& LeastSquares::getResiduals ( ) const

inline

Definition at line 74 of file LeastSquares.hpp.

predict()

MatrixD LeastSquares::predict ( MatrixD  m )

inline

Definition at line 65 of file LeastSquares.hpp.

setRegressionType()

void LeastSquares::setRegressionType ( RegressionType  regressionType )

inline

Definition at line 36 of file LeastSquares.hpp.

Field Documentation

coefs

MatrixD LeastSquares::coefs

private

Definition at line 23 of file LeastSquares.hpp.

regressionType

RegressionType LeastSquares::regressionType

private

Definition at line 24 of file LeastSquares.hpp.

residuals

MatrixD LeastSquares::residuals

private

Definition at line 23 of file LeastSquares.hpp.

X

MatrixD LeastSquares::X

private

Definition at line 23 of file LeastSquares.hpp.

y

MatrixD LeastSquares::y

private

Definition at line 23 of file LeastSquares.hpp.

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

• include/LeastSquares.hpp