Hi I wonder what this error is? Models are specifi...
# generald
Dihong Huang
07/16/2023, 4:29 PMHi I wonder what this error is? Models are specified already
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Max (Nixtla)
07/16/2023, 4:41 PMCould you share the code?
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Dihong Huang
07/16/2023, 4:46 PMSorry there is confidentiality, but this is how I initiate the model within a self-defined class:
sf = StatsForecast(
df = self.aggregated,
models = self.sf_models,
freq = ‘Q’,
n_jobs = -1
)
and the models are [AutoARIMA(), AutoETS(), AutoCES(), AutoTheta(), TSB(0.9,0.1), CrostonOptimized(), Naive()]
Dihong Huang
07/16/2023, 4:46 PMAnd this is how the object looks like:
Copy code
StatsForecast(models=[AutoARIMA,AutoETS,CES,AutoTheta,TSB,CrostonOptimized,Naive])m
Max (Nixtla)
07/16/2023, 4:52 PMIt would be good if you specified the seasonal length.
Max (Nixtla)
07/16/2023, 4:52 PMTry following this guide:
https://nixtla.github.io/statsforecast/docs/how-to-guides/automatic_forecasting.html
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Dihong Huang
07/16/2023, 5:02 PMIs seasonal length 4 for quarterly data?
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Max (Nixtla)
07/16/2023, 5:04 PMYes
Max (Nixtla)
07/16/2023, 5:04 PMd
Dihong Huang
07/16/2023, 5:13 PMAdding seasonal length doesn’t change the error
Dihong Huang
07/16/2023, 5:14 PMI still don’t know why it says no regressors
Dihong Huang
07/16/2023, 5:33 PMThis is the full error message
Dihong Huang
07/16/2023, 5:46 PMI found that all the auto models are problematic and both TSB and CrostonOptimized has zero division error. Only Naive works
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Max (Nixtla)
07/16/2023, 5:48 PMIts hard to debug without seeing the code or having an idea of the data. If you could provide an anonymized version it would be easier to help.
That exception is normally raised in the context of exogenous variables of the ARIMA model.
Max (Nixtla)
07/16/2023, 5:49 PMBut it sounds to me like it has to do with the data frame you are passing.
Max (Nixtla)
07/16/2023, 6:22 PMMaybe this tutorial can help you with the exogenous regressors: https://nixtla.github.io/statsforecast/docs/how-to-guides/exogenous.html
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Kevin Kho
07/16/2023, 6:31 PMI believe this is when you have exogenous regressors, but aren’t supplying them for the prediction/forecast like what Max said.
Kevin Kho
07/16/2023, 6:32 PMThis might be a good thread also: https://github.com/Nixtla/statsforecast/issues/435
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Dihong Huang
07/16/2023, 6:48 PMThank you! I found that my dataframe contains extra columns like other ids which I didn’t intend to use as extra regressors but the models took them in
Dihong Huang
07/16/2023, 6:48 PMNow they work perfectly!
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Kevin Kho
07/16/2023, 6:48 PMNice!
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Max (Nixtla)
07/16/2023, 6:49 PM🙌
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Dihong Huang
07/17/2023, 11:13 PMHi do you know what could be the cause of this error? Seems like the problem came from the CES model but this code worked perfectly with a smaller dataset.