LSST Applications
21.0.0-147-g0e635eb1+1acddb5be5,22.0.0+052faf71bd,22.0.0+1ea9a8b2b2,22.0.0+6312710a6c,22.0.0+729191ecac,22.0.0+7589c3a021,22.0.0+9f079a9461,22.0.1-1-g7d6de66+b8044ec9de,22.0.1-1-g87000a6+536b1ee016,22.0.1-1-g8e32f31+6312710a6c,22.0.1-10-gd060f87+016f7cdc03,22.0.1-12-g9c3108e+df145f6f68,22.0.1-16-g314fa6d+c825727ab8,22.0.1-19-g93a5c75+d23f2fb6d8,22.0.1-19-gb93eaa13+aab3ef7709,22.0.1-2-g8ef0a89+b8044ec9de,22.0.1-2-g92698f7+9f079a9461,22.0.1-2-ga9b0f51+052faf71bd,22.0.1-2-gac51dbf+052faf71bd,22.0.1-2-gb66926d+6312710a6c,22.0.1-2-gcb770ba+09e3807989,22.0.1-20-g32debb5+b8044ec9de,22.0.1-23-gc2439a9a+fb0756638e,22.0.1-3-g496fd5d+09117f784f,22.0.1-3-g59f966b+1e6ba2c031,22.0.1-3-g849a1b8+f8b568069f,22.0.1-3-gaaec9c0+c5c846a8b1,22.0.1-32-g5ddfab5d3+60ce4897b0,22.0.1-4-g037fbe1+64e601228d,22.0.1-4-g8623105+b8044ec9de,22.0.1-5-g096abc9+d18c45d440,22.0.1-5-g15c806e+57f5c03693,22.0.1-7-gba73697+57f5c03693,master-g6e05de7fdc+c1283a92b8,master-g72cdda8301+729191ecac,w.2021.39
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 More... | |
void | setSigma1 (double sigma1) |
set the _sigma1 hyper parameter More... | |
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. More... | |
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 | ) |