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authorziejd22019-06-27 13:58:58 -0500
committerziejd22019-06-27 13:58:58 -0500
commit5310fa747a6a46a0e96dc649cbca863e2c44aeb4 (patch)
tree3d4ba8a8a8a6f50b4877d1153e0fb390bbf86564 /sourcecodes/parameter_learning/code_backup/standardizeData.m
parent2be4664d4ef668feee3d1e8972c7fd0813aea7e8 (diff)
downloadBNW-5310fa747a6a46a0e96dc649cbca863e2c44aeb4.tar.gz
Version 1.22
Adding new visualization options
Diffstat (limited to 'sourcecodes/parameter_learning/code_backup/standardizeData.m')
-rw-r--r--sourcecodes/parameter_learning/code_backup/standardizeData.m25
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diff --git a/sourcecodes/parameter_learning/code_backup/standardizeData.m b/sourcecodes/parameter_learning/code_backup/standardizeData.m
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+function [ cases ] = standardizeData( labels, node_sizes, cases )
+%standardizeData standardizes continuous nodes so they have a mean = 0
+%   and standard deviation = 1
+
+
+nnodes = size(labels,2);
+
+%fprintf(['Standardizing data for continuous nodes\n'])
+for i = 1:nnodes
+    if node_sizes(i) == 1
+        temp = cell2num(cases(i,:));
+        [temp] = standardize(temp);
+        cases(i,:) = num2cell(temp);
+    end
+end
+
+%write standardized data to file
+%fprintf(['Standardized data is written to file standardized_data.txt\n'])
+%fout = 'standardized_data.txt';
+%txt = sprintf([repmat('%s\t',1,size(labels,2))],labels{:});
+%dlmwrite(fout,txt,'');
+%dlmwrite(fout,cell2num(cases'),'-append','delimiter','\t');
+
+end
+