lsst.afw.math::NeuralNetCovariogram< T > Class Template Reference

a Covariogram that recreates a neural network with one hidden layer and infinite units in that layer More...

#include <GaussianProcess.h>

Inheritance diagram for lsst.afw.math::NeuralNetCovariogram< T >:

Public Member Functions
virtual	~NeuralNetCovariogram ()
	NeuralNetCovariogram ()
void	setSigma0 (double sigma0)
	set the _sigma0 hyper parameter More...
void	setSigma1 (double sigma1)
	set the _sigma1 hyper parameter More...
virtual T	operator() (ndarray::Array< const T, 1, 1 > const &, ndarray::Array< const T, 1, 1 > const &) const
	Actually evaluate the covariogram function relating two points you want to interpolate from. More...
Public Member Functions inherited from lsst.afw.math::Covariogram< T >
virtual	~Covariogram ()
	Covariogram ()
	construct a Covariogram assigning default values to the hyper parameters More...
Public Member Functions inherited from lsst::daf::base::Citizen
	Citizen (const std::type_info &)
	Citizen (Citizen const &)
	~Citizen ()
Citizen &	operator= (Citizen const &)
std::string	repr () const
	Return a string representation of a Citizen. More...
void	markPersistent (void)
	Mark a Citizen as persistent and not destroyed until process end. More...
memId	getId () const
	Return the Citizen's ID. More...

Private Attributes
double	_sigma0
double	_sigma1

Additional Inherited Members
Public Types inherited from lsst::daf::base::Citizen
enum	{ magicSentinel = 0xdeadbeef }
typedef unsigned long	memId
	Type of the block's ID. More...
typedef memId(*	memNewCallback )(const memId cid)
	A function used to register a callback. More...
typedef memId(*	memCallback )(const Citizen *ptr)
Static Public Member Functions inherited from lsst::daf::base::Citizen
static bool	hasBeenCorrupted ()
	Check all allocated blocks for corruption. More...
static memId	getNextMemId ()
	Return the memId of the next object to be allocated. More...
static int	init ()
	Called once when the memory system is being initialised. More...
static int	census (int, memId startingMemId=0)
	How many active Citizens are there? More...
static void	census (std::ostream &stream, memId startingMemId=0)
	Print a list of all active Citizens to stream, sorted by ID. More...
static const std::vector < const Citizen * > *	census ()
	Return a (newly allocated) std::vector of active Citizens sorted by ID. More...
static memId	setNewCallbackId (memId id)
	Call the NewCallback when block is allocated. More...
static memId	setDeleteCallbackId (memId id)
	Call the current DeleteCallback when block is deleted. More...
static memNewCallback	setNewCallback (memNewCallback func)
	Set the NewCallback function. More...
static memCallback	setDeleteCallback (memCallback func)
	Set the DeleteCallback function. More...
static memCallback	setCorruptionCallback (memCallback func)
	Set the CorruptionCallback function. More...

Detailed Description

template<typename T>
class lsst.afw.math::NeuralNetCovariogram< T >

a Covariogram that recreates a neural network with one hidden layer and infinite units in that layer

Contains two hyper parameters (_sigma0 and _sigma1) that characterize the expected variance of the function being interpolated

see Rasmussen and Williams (2006) http://www.gaussianprocess.org/gpml/ equation 4.29

Definition at line 203 of file GaussianProcess.h.

Constructor & Destructor Documentation

template<typename T >

lsst.afw.math::NeuralNetCovariogram< T >::~NeuralNetCovariogram ( )

virtual

Definition at line 1863 of file GaussianProcess.cc.

{}

template<typename T >

lsst.afw.math::NeuralNetCovariogram< T >::NeuralNetCovariogram ( )

explicit

Definition at line 1866 of file GaussianProcess.cc.

                                                 {

    _sigma0 = 1.0;
    _sigma1 = 1.0;
}

Member Function Documentation

template<typename T >

T lsst.afw.math::NeuralNetCovariogram< T >::operator() ( ndarray::Array< const T, 1, 1 > const &  p1, ndarray::Array< const T, 1, 1 > const &  p2  ) const

virtual

Actually evaluate the covariogram function relating two points you want to interpolate from.

Parameters

[in]	p1	the first point
[in]	p2	the second point

Reimplemented from lsst.afw.math::Covariogram< T >.

Definition at line 1873 of file GaussianProcess.cc.

{
    int i,dim;
    double num,denom1,denom2,arg;

    dim = p1.template getSize < 0 > ();

    num = 2.0*_sigma0;
    denom1 = 1.0 + 2.0*_sigma0;
    denom2 = 1.0 + 2.0*_sigma0;

    for(i = 0; i < dim; i++ ) {
        num += 2.0*p1[i]*p2[i]*_sigma1;
        denom1 += 2.0*p1[i]*p1[i]*_sigma1;
        denom2 += 2.0*p2[i]*p2[i]*_sigma1;
    }

    arg = num/::sqrt(denom1*denom2);
    return T(2.0*(::asin(arg))/3.141592654);

}

template<typename T >

void lsst.afw.math::NeuralNetCovariogram< T >::setSigma0

(

double

sigma0

)

set the _sigma0 hyper parameter

Definition at line 1898 of file GaussianProcess.cc.

{
    _sigma0 = sigma0;
}

template<typename T >

void lsst.afw.math::NeuralNetCovariogram< T >::setSigma1

(

double

sigma1

)

set the _sigma1 hyper parameter

Definition at line 1904 of file GaussianProcess.cc.

{
    _sigma1 = sigma1;
}

Member Data Documentation

template<typename T >

double lsst.afw.math::NeuralNetCovariogram< T >::_sigma0

private

Definition at line 225 of file GaussianProcess.h.

template<typename T >

double lsst.afw.math::NeuralNetCovariogram< T >::_sigma1

private

Definition at line 225 of file GaussianProcess.h.

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

• /home/lsstsw/stack/Linux64/afw/11.0.rc2+4/include/lsst/afw/math/GaussianProcess.h
• /home/lsstsw/stack/Linux64/afw/11.0.rc2+4/src/math/GaussianProcess.cc