continuous functions

pipeline.py

@@ -142,10 +142,15 @@ class Components :
 		#
 		# We need to make sure that continuous columns are removed 
 		if x_cols :
-			_args['data'] = df[list(set(df.columns) - set(x_cols))]
+			_args['data'] = _args['data'][list(set(df.columns) - set(x_cols))]
 		if 'gpu' in args :
 			_args['gpu'] = self.set_gpu(gpu=args['gpu'])
+		if df.shape[0] and df.shape[0] :
+			#
+			# We have a full blown matrix to be processed 
 			data.maker.train(**_args)
+		else:
+			print ("... skipping training !!")
 		
 		if 'autopilot' in ( list(args.keys())) :
 
@@ -216,7 +221,7 @@ class Components :
 				
 		_dc = pd.DataFrame()
 		# for mdf in df :
-		args['data'] = df
+		args['data'] = df.copy()
 		#
 		# The columns that are continuous should also be skipped because they don't need to be synthesied (like-that)
 		if 'continuous' in args :
@@ -232,7 +237,7 @@ class Components :
 		# @TODO: Abstract this !!
 		#
 		if x_cols :
-			args['data'] = df[list(set(df.columns) - set(x_cols))]
+			args['data'] = args['data'][list(set(df.columns) - set(x_cols))]
 		
 		args['candidates']	= 1 if 'candidates' not in args else int(args['candidates'])
 		if 'gpu' in args :