www.gusucode.com > mbcmodels 工具箱 matlab 源码程序 > mbcmodels/@xreggpr/InitModel.m
function [m,OK]= InitModel(m,x,y,~,IsCoded,doRinvCalc) %#ok<INUSD> %INITMODEL default initmodel method (initialises pev) % % [m,OK]= InitModel(m,x,y); % coded data assumed % [m,OK]= InitModel(m,x,y,Wc); % coded data assumed. Use Wc=[] to % specify no weights % [m,OK]= InitModel(m,x,y,Wc,IsCoded); % specify whether data is coded or % uncoded. % Copyright 2015-2015 The MathWorks, Inc. if iscell(m.StatsGPR) % used following xreggpr/update with localmulti if nargin>4 && ~IsCoded [x,y]= checkdata(m,x,y); end if size(x,1)>m.LargeScale.Threshold % large scale fit/predict method Args = {'PredictMethod',m.LargeScale.PredictMethod}; else Args = {}; end try % use name/value pairs in m.StatsGPR and FitMethod of none m.StatsGPR = fitrgp(x,y,... 'KernelFunction',m.Kernel,... 'BasisFunction',m.Basis,... 'FitMethod','none',... m.StatsGPR{:},... Args{:},... 'PredictorNames',get(m,'symbols'),... 'ResponseName',varname(m)); m = var(m,[],m.StatsGPR.Sigma^2,Inf); catch ME m = comments(m, ME.message); end end OK = isfitted(m); end