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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/parameter_learning/standardizeData.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/parameter_learning/standardizeData.m')
-rw-r--r--sourcecodes/parameter_learning/standardizeData.m25
1 files changed, 25 insertions, 0 deletions
diff --git a/sourcecodes/parameter_learning/standardizeData.m b/sourcecodes/parameter_learning/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
+