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authorziejd22018-04-25 16:43:19 -0500
committerziejd22018-04-25 16:43:19 -0500
commit74b673ba4a706085201a5610b938ff98f08f641d (patch)
treecb39006ea1a39499e00dbbb0e0097087a4567031 /BNW_parameter_learning/standardizeData.m
parenta781cb1ff2e7ae6de0f686bd02cd279261485b1e (diff)
downloadBNW-74b673ba4a706085201a5610b938ff98f08f641d.tar.gz
Bug fixes, code comments, and minor changes
Diffstat (limited to 'BNW_parameter_learning/standardizeData.m')
-rw-r--r--BNW_parameter_learning/standardizeData.m9
1 files changed, 2 insertions, 7 deletions
diff --git a/BNW_parameter_learning/standardizeData.m b/BNW_parameter_learning/standardizeData.m
index 449aa440..b7673a1a 100644
--- a/BNW_parameter_learning/standardizeData.m
+++ b/BNW_parameter_learning/standardizeData.m
@@ -1,7 +1,8 @@
 function [ cases ] = standardizeData( labels, node_sizes, cases )

 %standardizeData standardizes continuous nodes so they have a mean = 0

 %   and standard deviation = 1

-

+%

+% standardizeData is called by readInput.m

 

 nnodes = size(labels,2);

 

@@ -14,12 +15,6 @@ for i = 1:nnodes
     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