Upload app.py

app.py

@@ -33,20 +33,20 @@ g2_x4_valid = pd.read_csv("g2_60m_data_valid.csv", index_col = 0, low_memory = F
 
 #Define feature names (g2).
 g2_f1_names = list(g2_x1.columns)
-g2_f1_names = [f1.replace('__', ' - ') for f1 in f1_names]
-g2_f1_names = [f1.replace('_', ' ') for f1 in f1_names]
+g2_f1_names = [f1.replace('__', ' - ') for f1 in g2_f1_names]
+g2_f1_names = [f1.replace('_', ' ') for f1 in g2_f1_names]
 
 g2_f2_names = list(g2_x2.columns)
-g2_f2_names = [f2.replace('__', ' - ') for f2 in f2_names]
-g2_f2_names = [f2.replace('_', ' ') for f2 in f2_names]
+g2_f2_names = [f2.replace('__', ' - ') for f2 in g2_f2_names]
+g2_f2_names = [f2.replace('_', ' ') for f2 in g2_f2_names]
 
 g2_f3_names = list(g2_x3.columns)
-g2_f3_names = [f3.replace('__', ' - ') for f3 in f3_names]
-g2_f3_names = [f3.replace('_', ' ') for f3 in f3_names]
+g2_f3_names = [f3.replace('__', ' - ') for f3 in g2_f3_names]
+g2_f3_names = [f3.replace('_', ' ') for f3 in g2_f3_names]
 
 g2_f4_names = list(g2_x4.columns)
-g2_f4_names = [f4.replace('__', ' - ') for f4 in f4_names]
-g2_f4_names = [f4.replace('_', ' ') for f4 in f4_names]
+g2_f4_names = [f4.replace('__', ' - ') for f4 in g2_f4_names]
+g2_f4_names = [f4.replace('_', ' ') for f4 in g2_f4_names]
 
 
 #Prepare data for the outcome 1 (g2).
@@ -202,20 +202,20 @@ g3_x4_valid = pd.read_csv("g3_60m_data_valid.csv", index_col = 0, low_memory = F
 
 #Define feature names (g3).
 g3_f1_names = list(g3_x1.columns)
-g3_f1_names = [f1.replace('__', ' - ') for f1 in f1_names]
-g3_f1_names = [f1.replace('_', ' ') for f1 in f1_names]
+g3_f1_names = [f1.replace('__', ' - ') for f1 in g3_f1_names]
+g3_f1_names = [f1.replace('_', ' ') for f1 in g3_f1_names]
 
 g3_f2_names = list(g3_x2.columns)
-g3_f2_names = [f2.replace('__', ' - ') for f2 in f2_names]
-g3_f2_names = [f2.replace('_', ' ') for f2 in f2_names]
+g3_f2_names = [f2.replace('__', ' - ') for f2 in g3_f2_names]
+g3_f2_names = [f2.replace('_', ' ') for f2 in g3_f2_names]
 
 g3_f3_names = list(g3_x3.columns)
-g3_f3_names = [f3.replace('__', ' - ') for f3 in f3_names]
-g3_f3_names = [f3.replace('_', ' ') for f3 in f3_names]
+g3_f3_names = [f3.replace('__', ' - ') for f3 in g3_f3_names]
+g3_f3_names = [f3.replace('_', ' ') for f3 in g3_f3_names]
 
 g3_f4_names = list(g3_x4.columns)
-g3_f4_names = [f4.replace('__', ' - ') for f4 in f4_names]
-g3_f4_names = [f4.replace('_', ' ') for f4 in f4_names]
+g3_f4_names = [f4.replace('__', ' - ') for f4 in g3_f4_names]
+g3_f4_names = [f4.replace('_', ' ') for f4 in g3_f4_names]
 
 
 #Prepare data for the outcome 1 (g3).