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authorziejd22018-04-25 16:43:19 -0500
committerziejd22018-04-25 16:43:19 -0500
commit74b673ba4a706085201a5610b938ff98f08f641d (patch)
treecb39006ea1a39499e00dbbb0e0097087a4567031 /sourcecodes/parameter_learning/code_backup/standardizeData.m
parenta781cb1ff2e7ae6de0f686bd02cd279261485b1e (diff)
downloadBNW-74b673ba4a706085201a5610b938ff98f08f641d.tar.gz
Bug fixes, code comments, and minor changes
Diffstat (limited to 'sourcecodes/parameter_learning/code_backup/standardizeData.m')
-rw-r--r--sourcecodes/parameter_learning/code_backup/standardizeData.m25
1 files changed, 25 insertions, 0 deletions
diff --git a/sourcecodes/parameter_learning/code_backup/standardizeData.m b/sourcecodes/parameter_learning/code_backup/standardizeData.m
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+++ 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
+