LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
Public Member Functions | List of all members
lsst::afw::math::Covariogram< T > Class Template Reference

The parent class of covariogram functions for use in Gaussian Process interpolation. More...

#include <GaussianProcess.h>

Inheritance diagram for lsst::afw::math::Covariogram< T >:
lsst::afw::math::NeuralNetCovariogram< T > lsst::afw::math::SquaredExpCovariogram< T >

Public Member Functions

virtual ~Covariogram ()
 
 Covariogram (const Covariogram &)=delete
 
Covariogramoperator= (const Covariogram &)=delete
 
 Covariogram (Covariogram &&)=delete
 
Covariogramoperator= (Covariogram &&)=delete
 
 Covariogram ()
 construct a Covariogram assigning default values to the hyper parameters More...
 
virtual T operator() (ndarray::Array< const T, 1, 1 > const &p1, ndarray::Array< const T, 1, 1 > const &p2) const
 Actually evaluate the covariogram function relating two points you want to interpolate from. More...
 

Detailed Description

template<typename T>
class lsst::afw::math::Covariogram< T >

The parent class of covariogram functions for use in Gaussian Process interpolation.

Each instantiation of a Covariogram will store its own hyper parameters

Definition at line 126 of file GaussianProcess.h.

Constructor & Destructor Documentation

◆ ~Covariogram()

template<typename T >
lsst::afw::math::Covariogram< T >::~Covariogram ( )
virtualdefault

◆ Covariogram() [1/3]

template<typename T >
lsst::afw::math::Covariogram< T >::Covariogram ( const Covariogram< T > &  )
delete

◆ Covariogram() [2/3]

template<typename T >
lsst::afw::math::Covariogram< T >::Covariogram ( Covariogram< T > &&  )
delete

◆ Covariogram() [3/3]

template<typename T >
lsst::afw::math::Covariogram< T >::Covariogram ( )
inlineexplicit

construct a Covariogram assigning default values to the hyper parameters

Definition at line 141 of file GaussianProcess.h.

141 {};

Member Function Documentation

◆ operator()()

template<typename T >
T lsst::afw::math::Covariogram< 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]p1the first point
[in]p2the second point

Reimplemented in lsst::afw::math::NeuralNetCovariogram< T >, and lsst::afw::math::SquaredExpCovariogram< T >.

Definition at line 1989 of file GaussianProcess.cc.

1990  {
1991  std::cout << "by the way, you are calling the wrong operator\n";
1992  exit(1);
1993  return T(1.0);
1994 }
T exit(T... args)

◆ operator=() [1/2]

template<typename T >
Covariogram& lsst::afw::math::Covariogram< T >::operator= ( const Covariogram< T > &  )
delete

◆ operator=() [2/2]

template<typename T >
Covariogram& lsst::afw::math::Covariogram< T >::operator= ( Covariogram< T > &&  )
delete

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