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LSST Data Management Base Package
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a Covariogram that recreates a neural network with one hidden layer and infinite units in that layer More...
#include <GaussianProcess.h>
Public Member Functions | |
~NeuralNetCovariogram () override | |
NeuralNetCovariogram () | |
void | setSigma0 (double sigma0) |
set the _sigma0 hyper parameter | |
void | setSigma1 (double sigma1) |
set the _sigma1 hyper parameter | |
T | operator() (ndarray::Array< const T, 1, 1 > const &, ndarray::Array< const T, 1, 1 > const &) const override |
Actually evaluate the covariogram function relating two points you want to interpolate from. | |
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 193 of file GaussianProcess.h.
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overridedefault |
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explicit |
Definition at line 2025 of file GaussianProcess.cc.
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overridevirtual |
Actually evaluate the covariogram function relating two points you want to interpolate from.
[in] | p1 | the first point |
[in] | p2 | the second point |
Reimplemented from lsst::afw::math::Covariogram< T >.
Definition at line 2031 of file GaussianProcess.cc.
void lsst::afw::math::NeuralNetCovariogram< T >::setSigma0 | ( | double | sigma0 | ) |
set the _sigma0 hyper parameter
Definition at line 2053 of file GaussianProcess.cc.
void lsst::afw::math::NeuralNetCovariogram< T >::setSigma1 | ( | double | sigma1 | ) |
set the _sigma1 hyper parameter
Definition at line 2058 of file GaussianProcess.cc.