v1.1 release debug

app.py

@@ -134,17 +134,17 @@ def train_test(dataframe, n):
   return (training_y, test_y, test_y_series, training_X, test_X, future_X)
 
 @st.cache_data
-def test_fitting(dataframe, Exo, trainY):
-    trainTestModel = auto_arima(X = Exo, y = trainY, start_p=1, start_q=1,
-                           test='adf',min_p=1,min_q=1,
-                           max_p=4, max_q=4, m=12,
-                           start_P=0, seasonal=True,
-                           d=None, D=1, trace=True,
-                           error_action='ignore',
-                           suppress_warnings=True,
-                           stepwise=True)
-    model = trainTestModel
-    return model
+def testFitting(dataframe, Exo, trainY):
+  trainTestModel = auto_arima(X = Exo, y = trainY, start_p=1, start_q=1,
+                         test='adf',min_p=1,min_q=1,
+                         max_p=3, max_q=3, m=12,
+                         start_P=0, seasonal=True,
+                         d=None, D=1, trace=True,
+                         error_action='ignore',
+                         suppress_warnings=True,
+                         stepwise=True, maxiter = 50)
+  model = trainTestModel
+  return model
 
 @st.cache_data
 def forecast_accuracy(forecast, actual):