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-rw-r--r--sourcecodes/parameter_learning/code_backup/standardizeData.m25
1 files changed, 0 insertions, 25 deletions
diff --git a/sourcecodes/parameter_learning/code_backup/standardizeData.m b/sourcecodes/parameter_learning/code_backup/standardizeData.m
deleted file mode 100644
index db5e04c7..00000000
--- a/sourcecodes/parameter_learning/code_backup/standardizeData.m
+++ /dev/null
@@ -1,25 +0,0 @@
-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
-