v1.1 release fix

app.py

@@ -135,7 +135,7 @@ def train_test(dataframe, n):
 
 @st.cache_data
 def test_fitting(dataframe, Exo, trainY):
-  trainTestModel = auto_arima(X = Exo, y = trainY, start_p=0, start_q=0,
+  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=2, start_Q=2, seasonal=True,
@@ -146,8 +146,6 @@ def test_fitting(dataframe, Exo, trainY):
   model = trainTestModel
   return model
   
-
-@st.cache_data
 def forecast_accuracy(forecast, actual):
     mape = np.mean(np.abs(forecast - actual)/np.abs(actual)).round(4)  # MAPE
     rmse = (np.mean((forecast - actual)**2)**.5).round(2)  # RMSE
@@ -206,7 +204,6 @@ def merge_forecast_data(actual, predicted, future): # debug
     print(merged_dataframe)
     return merged_dataframe
 
-@st.cache_data
 def interpret_mape(mape_score):
   score = (mape_score * 100).round(2)
   if score < 10: