From 7cc31810d53176e805532b2789955f4eedbce6bb Mon Sep 17 00:00:00 2001
From: ziejd2
Date: Thu, 14 Sep 2017 16:17:47 -0500
Subject: Add files via upload

Adding the *.m files used in parameter learning.---
 BNW_parameter_learning/standardizeData.m | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 BNW_parameter_learning/standardizeData.m

(limited to 'BNW_parameter_learning/standardizeData.m')

diff --git a/BNW_parameter_learning/standardizeData.m b/BNW_parameter_learning/standardizeData.m
new file mode 100644
index 00000000..ba4ef5dd
--- /dev/null
+++ b/BNW_parameter_learning/standardizeData.m
@@ -0,0 +1,25 @@
+function [ cases ] = standardizeData( labels, node_sizes, cases )
+%standardizeData standardizes continuous nodes so they have a mean = 0
+%   and standard deviation = 1
+%   Detailed explanation goes here
+
+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
+
-- 
cgit 1.4.1