[134] | 1 | %LOADMATFILE Load matfile for this mfile, if it exist
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| 2 | %
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| 3 | % A = LOADMATFILE(MATFILE)
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| 4 | %
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| 5 | % Loads the dataset stored in the matfile. Default matfile is the name of
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[136] | 6 | % the calling routine. The output A is empty if MATFILE does not exist.
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[134] | 7 | %
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| 8 | % [A1,A2,..] = LOADMATFILE(MATFILE,NARGOUTCOUNT)
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| 9 | %
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| 10 | % In case multiple matfiles are stored for the calling routine, it is
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| 11 | % assumed they all contain a dataset: train set, test set, validation set,
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| 12 | % etcetera. In case NARGOUTCOUNT (NARGOUT of the calling routine) equals 1,
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| 13 | % the combined dataset is loaded and returned in A (A1).
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| 14 | % In case NARGOUTCOUNT > 1, the subsets are are loaded into A1, A2, ...
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| 15 | %
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| 16 | % SEE ALSO
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| 17 | % DATASETS, PRDATASETS, SAVEMATFILE, PR_DOWNLOAD_UCI
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| 18 |
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| 19 | function varargout = loadmatfile(name)
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| 20 |
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| 21 | varargout = cell(1,nargout);
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| 22 |
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| 23 | if nargin < 1 || isempty(name)
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| 24 | name = callername;
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| 25 | end
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[136] | 26 | matfile = fullfile(fullfile(fileparts(which(name)),'data'),name);
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[134] | 27 |
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| 28 | if nargout == 1
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| 29 | varargout{1} = loadmatf([matfile '.mat']);
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| 30 | else
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| 31 | for i=1:nargout
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| 32 | varargout{i} = loadmatf([matfile '_' num2str(i) '.mat']);
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| 33 | end
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| 34 | end
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| 35 |
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| 36 | return
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| 37 |
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| 38 | function a = loadmatf(matfile)
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| 39 | if exist(matfile,'file') == 2
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[136] | 40 | warning('OFF','MATLAB:indeterminateFields');
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[134] | 41 | s = load(matfile);
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[136] | 42 | warning('ON','MATLAB:indeterminateFields');
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[134] | 43 | fields = fieldnames(s);
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[136] | 44 | a = s.(fields{1});
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| 45 | a = pr_dataset(a); % take care of prtools4 and prtools5 datasets
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[134] | 46 | else
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| 47 | a = [];
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| 48 | end
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| 49 | return
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| 50 |
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| 51 | function name = callername
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| 52 | [ss,dummy] = dbstack;
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| 53 | if length(ss) < 3
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| 54 | name = [];
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| 55 | else
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| 56 | name = ss(3).name;
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| 57 | end
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| 58 | return |
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