lsst.afw  21.0.0-23-g03fb9f672+f385fa6f38
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.

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.

◆ 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: