--- a
+++ b/modules/IndexedDB/FoldManager.py
@@ -0,0 +1,59 @@
+#FoldManager.py
+"""
+ Deep Learning for Cancer Therapy
+
+ Authors:
+ Kumud Ravisankaran | Valeria Brewer
+ Ninad Mehta | Suraj Jena
+
+"""
+import sys
+sys.dont_write_bytecode = True
+
+import csv
+import os
+
+def generateFolds(path, List, folds):
+    num_folds = folds
+    output_name_template='fold_%s.csv'
+    
+    file_name_w_ext = os.path.basename(path)
+    filename, file_ext = os.path.splitext(file_name_w_ext)
+    
+    output_path='/home/skjena/data/'+filename+'/'
+    if not os.path.exists(output_path):
+        os.makedirs(output_path)    
+
+    keep_headers=False
+
+    #determine number of rows in csv file, calculate how many rows per fold
+    with open(path,'r') as csvfile:
+        row_count = sum(1 for row in csvfile)
+        fold_rows = row_count/num_folds
+        row_limit = fold_rows
+
+    #split dataset into folds storing each fold into a csv file
+    with open(path, 'r') as readfile:
+        reader = csv.reader(readfile)
+        #header = reader.next()
+        current_piece = 1
+        current_out_path = os.path.join(output_path, output_name_template  % current_piece)
+        List.append(current_out_path)
+        with open(current_out_path, 'w') as foldfile:
+            current_out_writer = csv.writer(foldfile, delimiter=',')
+            #current_out_writer.writerow(header)
+            current_limit = row_limit
+            for i in range(0,row_count):
+                row = reader.next()
+                if i + 1 > current_limit:
+                    current_piece += 1
+                    current_limit = row_limit * current_piece
+                    current_out_path = os.path.join(
+                       output_path,
+                       output_name_template  % current_piece
+                    )
+                    List.append(current_out_path)
+                    current_out_writer = csv.writer(open(current_out_path, 'w'), delimiter=',')
+                    #current_out_writer.writerow(header)
+                current_out_writer.writerow(row)
+    return List