diff options
| author | ziejd2 | 2019-01-31 23:07:53 -0600 |
|---|---|---|
| committer | ziejd2 | 2019-01-31 23:07:53 -0600 |
| commit | 2d45f744e35b91c70a2db5f8ae6701e76d2a9b80 (patch) | |
| tree | 644bc3823f42f9073eb045dd1575648c86d749f8 /BNW_parameter_learning/standardizeData.m | |
| parent | f94dd1a91d91b516573f80f6e80c57bc517b9afb (diff) | |
| download | BNW-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 These were out of date, so I deleted them and kept the versions in the sourcecoades directory.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.m | 20 |
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 - |
