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authorziejd22019-01-31 23:07:53 -0600
committerziejd22019-01-31 23:07:53 -0600
commit2d45f744e35b91c70a2db5f8ae6701e76d2a9b80 (patch)
tree644bc3823f42f9073eb045dd1575648c86d749f8 /BNW_parameter_learning/standardizeData.m
parentf94dd1a91d91b516573f80f6e80c57bc517b9afb (diff)
downloadBNW-2d45f744e35b91c70a2db5f8ae6701e76d2a9b80.tar.gz
Deleting parameter learning folder
There was an extra folder with the Matlab/Octave parameter learning files. These were out of date, so I deleted them and kept the versions in the sourcecoades directory.
Diffstat (limited to 'BNW_parameter_learning/standardizeData.m')
-rw-r--r--BNW_parameter_learning/standardizeData.m20
1 files changed, 0 insertions, 20 deletions
diff --git a/BNW_parameter_learning/standardizeData.m b/BNW_parameter_learning/standardizeData.m
deleted file mode 100644
index b7673a1a..00000000
--- a/BNW_parameter_learning/standardizeData.m
+++ /dev/null
@@ -1,20 +0,0 @@
-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);

-

-%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

-

-

-end

-