GPRegressor Class Reference

List of all members.

Public Member Functions
void	computeAlpha ()
void	computeK ()
void	computeKs (const PCRGB::Ptr &test_pc)
void	findRegression (const PCRGB::Ptr &test_pc, VectorXd &f_mean)
	GPRegressor ()
void	importTrainingData (const PCRGB::Ptr &input_pc)
double	logPseudoLikelihood ()
Public Attributes
VectorXd	alpha
pcl::KdTreeFLANN< PRGB >	data_kd_tree
PCRGB::Ptr	data_pc
PCRGB::Ptr	input_pc
shared_ptr < DynamicSparseMatrix< double > >	K_dyn
SparseLLT< SparseMatrix < double >, Cholmod >	K_inverse
shared_ptr< SparseMatrix < double > >	K_sparse
shared_ptr < DynamicSparseMatrix< double > >	Ks_dyn
shared_ptr< SparseMatrix < double > >	Ks_sparse
double	length_scale
double	noise_variance
vector< int >	nonzero_inds
double	signal_variance
size_t	testing_size
size_t	training_size
VectorXd	y

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Detailed Description

Definition at line 44 of file gp_regression.cpp.

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Constructor & Destructor Documentation

GPRegressor::GPRegressor

(

)

Definition at line 66 of file gp_regression.cpp.

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Member Function Documentation

void GPRegressor::computeAlpha

(

)

Definition at line 121 of file gp_regression.cpp.

void GPRegressor::computeK

(

)

Definition at line 96 of file gp_regression.cpp.

void GPRegressor::computeKs

(

const PCRGB::Ptr &

test_pc

)

Definition at line 147 of file gp_regression.cpp.

void GPRegressor::findRegression	(	const PCRGB::Ptr &	test_pc,
		VectorXd &	f_mean
	)

Definition at line 169 of file gp_regression.cpp.

void GPRegressor::importTrainingData

(

const PCRGB::Ptr &

input_pc

)

Definition at line 77 of file gp_regression.cpp.

double GPRegressor::logPseudoLikelihood

(

)

Definition at line 129 of file gp_regression.cpp.

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Member Data Documentation

VectorXd GPRegressor::alpha

Definition at line 52 of file gp_regression.cpp.

pcl::KdTreeFLANN<PRGB> GPRegressor::data_kd_tree

Definition at line 48 of file gp_regression.cpp.

PCRGB::Ptr GPRegressor::data_pc

Definition at line 47 of file gp_regression.cpp.

PCRGB::Ptr GPRegressor::input_pc

Definition at line 47 of file gp_regression.cpp.

shared_ptr<DynamicSparseMatrix<double> > GPRegressor::K_dyn

Definition at line 51 of file gp_regression.cpp.

SparseLLT<SparseMatrix<double>, Cholmod > GPRegressor::K_inverse

Definition at line 49 of file gp_regression.cpp.

shared_ptr<SparseMatrix<double> > GPRegressor::K_sparse

Definition at line 50 of file gp_regression.cpp.

shared_ptr<DynamicSparseMatrix<double> > GPRegressor::Ks_dyn

Definition at line 51 of file gp_regression.cpp.

shared_ptr<SparseMatrix<double> > GPRegressor::Ks_sparse

Definition at line 50 of file gp_regression.cpp.

double GPRegressor::length_scale

Definition at line 53 of file gp_regression.cpp.

double GPRegressor::noise_variance

Definition at line 53 of file gp_regression.cpp.

vector<int> GPRegressor::nonzero_inds

Definition at line 54 of file gp_regression.cpp.

double GPRegressor::signal_variance

Definition at line 53 of file gp_regression.cpp.

size_t GPRegressor::testing_size

Definition at line 55 of file gp_regression.cpp.

size_t GPRegressor::training_size

Definition at line 55 of file gp_regression.cpp.

VectorXd GPRegressor::y

Definition at line 52 of file gp_regression.cpp.

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

• gp_regression.cpp