


Function to pass optional (advanced) parameters into the classifier. This is primarily used for prediction methods that need to know something about the experimental design that is normally not accessible to ordinary (i.e. generic) prediction functions (e.g. task onsets or TR). Examples of this kind of method include multi-class classifier using kernel regression (MCKR) and the machine that implements nested cross-validation Inputs: ------- PRT: data structure ID: id matrix for the current cross-validation fold model_id: which model are we working on? Outputs: -------- param.id_fold: the id matrix for this fold param.model_id: id for the model being computed param.PRT: PRT data structure Notes: -------- The outputs (param.xxx) are provided for use by the classifier __________________________________________________________________________ Copyright (C) 2011 Machine Learning & Neuroimaging Laboratory


0001 function param = prt_cv_opt_param(PRT,ID,model_id) 0002 % Function to pass optional (advanced) parameters into the classifier. 0003 % 0004 % This is primarily used for prediction methods that need to know something 0005 % about the experimental design that is normally not accessible to ordinary 0006 % (i.e. generic) prediction functions (e.g. task onsets or TR). Examples of 0007 % this kind of method include multi-class classifier using kernel 0008 % regression (MCKR) and the machine that implements nested cross-validation 0009 % 0010 % Inputs: 0011 % ------- 0012 % PRT: data structure 0013 % ID: id matrix for the current cross-validation fold 0014 % model_id: which model are we working on? 0015 % 0016 % Outputs: 0017 % -------- 0018 % param.id_fold: the id matrix for this fold 0019 % param.model_id: id for the model being computed 0020 % param.PRT: PRT data structure 0021 % 0022 % Notes: 0023 % -------- 0024 % The outputs (param.xxx) are provided for use by the classifier 0025 % 0026 %__________________________________________________________________________ 0027 % Copyright (C) 2011 Machine Learning & Neuroimaging Laboratory 0028 0029 % Written by A Marquand 0030 % $Id: prt_cv_opt_param.m 551 2012-05-31 08:26:54Z amarquan $ 0031 0032 param.id_fold = ID; 0033 param.model_id = model_id; 0034 param.PRT = PRT; 0035 0036 end