diff --git a/data/maker/__init__.py b/data/maker/__init__.py
index 97cc3dd..2b51670 100644
--- a/data/maker/__init__.py
+++ b/data/maker/__init__.py
@@ -112,6 +112,7 @@ def train (**args) :
         if col in CONTINUOUS:
             BIN_SIZE = 4 if 'bin_size' not in args else int(args['bin_size'])
             args['real']    = ContinuousToDiscrete.binary(df[col],BIN_SIZE).astype(np.float32)
+            # print ( pd.DataFrame(args['real']).head() ) 
         else:
             # df.to_csv('tmp-'+args['logs'].replace('/','_')+'-'+col+'.csv',index=False)
             # print (df[col].dtypes)
diff --git a/pipeline.py b/pipeline.py
index 7a2cf3a..9eee8c5 100644
--- a/pipeline.py
+++ b/pipeline.py
@@ -143,7 +143,7 @@ class Components :
 		# 	columns = args['columns']
 		# 	df = np.array_split(df[columns].values,PART_SIZE)
 		# 	df = pd.DataFrame(df[ int (partition) ],columns = columns)
-		info = {"parition":int(partition),"gpu":_args["gpu"],"rows":df.shape[0],"cols":df.shape[1],"part_size":PART_SIZE}
+		info = {"parition":int(partition),"gpu":_args["gpu"],"rows":str(df.shape[0]),"cols":str(df.shape[1]),"part_size":int(PART_SIZE)}
 		logger.write({"module":"generate","action":"partition","input":info})
 		_args['partition'] = int(partition)
 		_args['continuous']= args['continuous'] if 'continuous' in args else []
@@ -352,7 +352,7 @@ if __name__ == '__main__' :
 			args['partition'] = index
 			# _df = pd.DataFrame(DATA[index],columns=args['columns'])
 			args['data'] = DATA[index]
-			args['data'].to_csv('aou-'+str(index)+'csv',index=False)
+			# args['data'].to_csv('aou-'+str(index)+'csv',index=False)
 			# args['reader'] = lambda: _df
 			if int(args['num_gpu']) > 1 :
 				args['gpu'] = index