Why is pmdarima predict function missing start and end parameters like the underlying statsmodels arima module.
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- Created 4 years ago
- Comments:8 (4 by maintainers)
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Why is pmdarima predict function missing start and end ...
Short answer: pmdarima is not statsmodels. Longer answer: predict is pmdarima's forecast equivalent of statsmodels. Specifying a starting ...
Read more >Source code for pmdarima.arima.arima - alkaline-ml
All three methods use `start_params` as starting parameters. See above for more information. If fitting a seasonal ARIMA, the default is 'lbfgs' solver ......
Read more >pmdarima.arima.ARIMA — pmdarima 2.0.2 documentation
An ARIMA, or autoregressive integrated moving average, ... and exog arrays so that future forecast values originate from the end of the endogenous...
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This function is based on the commonly-used R function, ``forecast::auto.arima`` [3]. The ``auro_arima`` function works by conducting differencing tests ...
Read more >pmdarima.arima.auto_arima - alkaline-ml
The auto-ARIMA process seeks to identify the most optimal parameters for an ARIMA ... is based on the commonly-used R function, forecast::auto.arima [3]....
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In that case, I’ll look at the possibility of saving the last date of the training data as metadata in our system and use that to calculate n_periods while forecasting. Thanks once again for your time.
yeah… like you said, model.arima_res_.model.data.endog, does not give the index of the data, which is date, even if I fit the model with a series having date as index.