/usr/share/octave/packages/nnet-0.1.13/poststd.m is in octave-nnet 0.1.13-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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##
##
## This program is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2, or (at your option)
## any later version.
##
## This program is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; see the file COPYING. If not, see
## <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn {Function File} {}[@var{Pp},@var{Tt}] = poststd(@var{Pn},@var{meanp},,@var{stdP},@var{Tn},@var{meanT},@var{stdT})
## @code{poststd} postprocesses the data which has been preprocessed by @code{prestd}.
## @end deftypefn
## @seealso{prestd,trastd}
## Author: Michel D. Schmid
function [Pp,Tt] = poststd(Pn,meanp,stdp,Tn,meant,stdt)
## check range of input arguments
error(nargchk(3,6,nargin))
if (nargin==4)
error("4 input arguments are not allowed!");
endif
if (nargin==5)
error("5 input arguments are not allowed!");
endif
## do first inputs
## set all standard deviations which are zero to 1
[nRowsII, nColumnsII] = size(Pn);
rowZeros = zeros(nRowsII,1);
findZeros = find(stdp==0);
rowZeros(findZeros)=1;
nequal = !rowZeros;
if (sum(rowZeros) != 0)
warning("Some standard deviations are zero. Those inputs won't be transformed.");
meanpZero = meanp.*nequal;
stdpZero = stdp.*nequal + 1*rowZeros;
else
meanpZero = meanp;
stdpZero = stdp;
endif
## calculate the postprocessed inputs
nColumnsIIone = ones(1,nColumnsII);
Pp = (stdpZero*nColumnsIIone).*Pn + meanpZero*nColumnsIIone;
## do also targets
if ( nargin==6 )
# now set all standard deviations which are zero to 1
[nRowsIII, nColumnsIII] = size(stdt);
rowZeros = zeros(nRowsIII,1);
findZeros = find(stdt==0);
rowZeros(findZeros)=1;
nequal = !rowZeros;
if (sum(rowZeros) != 0)
warning("Some standard deviations are zero. Those targets won't be transformed.");
meantZero = meant.*nequal;
stdtZero = stdt.*nequal + 1*rowZeros;
else
meantZero = meant;
stdtZero = stdt;
endif
## calculate the postprocessed targets
nColumnsIIIone = ones(1,nColumnsIII);
Tt = (stdtZero*nColumnsIIIone).*Tn + meantZero*nColumnsIIIone;
endif
endfunction
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