optimization (minor)

data/maker/__init__.py

@@ -197,17 +197,17 @@ def generate(**_args):
     f = open(os.sep.join([_args['logs'],'output',_args['context'],'map.json']))
     _map = json.loads(f.read())
     f.close()
-    if 'file' in _args :
-        df = pd.read_csv(_args['file'])
-    else:
-        df = _args['data'] if not isinstance(_args['data'],str) else pd.read_csv(_args['data'])
+    # if 'file' in _args :
+    #     df = pd.read_csv(_args['file'])
+    # else:
+    #     df = _args['data'] if not isinstance(_args['data'],str) else pd.read_csv(_args['data'])
     args = {"context":_args['context'],"max_epochs":_args['max_epochs'],"candidates":_args['candidates']}
     args['logs'] = _args['logs'] if 'logs' in _args else 'logs'
     args ['max_epochs'] = _args['max_epochs']
     # args['matrix_size'] = _matrix.shape[0]
     args['batch_size'] = 2000
     args['partition'] = 0 if 'partition' not in _args else _args['partition']
-    args['row_count'] = df.shape[0]
+    args['row_count'] = _args['data'].shape[0]
     #
     # @TODO: perhaps get the space of values here ... (not sure it's a good idea)
     #