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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/gpunpak.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/gpunpak.m | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/gpunpak.m b/sourcecodes/bnt-master/netlab3.3/gpunpak.m new file mode 100644 index 00000000..8e1058e4 --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/gpunpak.m @@ -0,0 +1,36 @@ +function net = gpunpak(net, hp) +%GPUNPAK Separates hyperparameter vector into components. +% +% Description +% NET = GPUNPAK(NET, HP) takes an Gaussian Process data structure NET +% and a hyperparameter vector HP, and returns a Gaussian Process data +% structure identical to the input model, except that the covariance +% bias BIAS, output noise NOISE, the input weight vector INWEIGHTS and +% the vector of covariance function specific parameters FPAR have all +% been set to the corresponding elements of HP. +% +% See also +% GP, GPPAK, GPFWD, GPERR, GPGRAD +% + +% Copyright (c) Ian T Nabney (1996-2001) + +% Check arguments for consistency +errstring = consist(net, 'gp'); +if ~isempty(errstring); + error(errstring); +end +if net.nwts ~= length(hp) + error('Invalid weight vector length'); +end + +net.bias = hp(1); +net.noise = hp(2); + +% Unpack input weights +mark1 = 2 + net.nin; +net.inweights = hp(3:mark1); + +% Unpack function specific parameters +net.fpar = hp(mark1 + 1:size(hp, 2)); + |
