Outdated functions

[yolomcswagpie]

WARNING: QApplication was not created in the main() thread.
[2022-03-06 16:11:07,935] ERROR in app: Exception on /insertintotable [POST]
Traceback (most recent call last):
File "D:\Programs\Python\Python310\lib\site-packages\flask\app.py", line 2073, in wsgi_app
response = self.full_dispatch_request()
File "D:\Programs\Python\Python310\lib\site-packages\flask\app.py", line 1518, in full_dispatch_request
rv = self.handle_user_exception(e)
File "D:\Programs\Python\Python310\lib\site-packages\flask\app.py", line 1516, in full_dispatch_request
rv = self.dispatch_request()
File "D:\Programs\Python\Python310\lib\site-packages\flask\app.py", line 1502, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
File "D:\Downloads\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\main.py", line 474, in insertintotable
arima_pred, error_arima=ARIMA_ALGO(df)
File "D:\Downloads\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\main.py", line 118, in ARIMA_ALGO
predictions = arima_model(train, test)
File "D:\Downloads\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-master\main.py", line 93, in arima_model
model = ARIMA(history, order=(6,1 ,0))
File "D:\Programs\Python\Python310\lib\site-packages\statsmodels\tsa\arima_model.py", line 45, in init
super().init(*args, **kwargs)
File "D:\Programs\Python\Python310\lib\site-packages\statsmodels\tsa\arima_model.py", line 29, in init
raise NotImplementedError(ARIMA_DEPRECATION_ERROR)
NotImplementedError:
statsmodels.tsa.arima_model.ARMA and statsmodels.tsa.arima_model.ARIMA have
been removed in favor of statsmodels.tsa.arima.model.ARIMA (note the .
between arima and model) and statsmodels.tsa.SARIMAX.

statsmodels.tsa.arima.model.ARIMA makes use of the statespace framework and
is both well tested and maintained. It also offers alternative specialized
parameter estimators.