TypeError AutoARIMA.__init__() got an unexpected keyword argument 'season_length'

[wasf84]

What happened + What you expected to happen

Hi!

I’m encountering an error when using the AutoARIMA model. While searching for a solution, I noticed that a specific parameter is mentioned in the library’s documentation. In this context, is "period" the correct parameter to use?

Thank you.
<3

Versions / Dependencies

StatsForecast 2.0.1

Reproducible example

mdl_arima = [
AutoARIMA(
d = 1,
max_p = 6,
season_length = 365,
stationary = True,
)
]

sf = StatsForecast(models=mdl_arima, freq='D')
sf.fit(df=train_diff)

Issue Severity

None

[wasf84]

Is it possible to add another issue to this report?

I replaced "season_length" with "period" in the parameters, which initially worked. However, when I call the "fit()" method on the StatsForecast object, I encounter this error:

---

AttributeError Traceback (most recent call last)
sf = StatsForecast(models=md_arima, freq='D', n_jobs=NJOBS)
---> sf.fit(df=diff_treino)

File ~/bin/miniconda3/envs/py311/lib/python3.11/site-packages/statsforecast/core.py:665, in StatsForecast.fit(self, df, prediction_intervals, id_col, time_col, target_col)
663 self.set_prediction_intervals(prediction_intervals=prediction_intervals)
664 if self.n_jobs == 1:
--> 665 self.fitted = self.ga.fit(
666 models=self.models, fallback_model=self.fallback_model
667 )
668 else:
669 self.fitted = self._fit_parallel()

File ~/bin/miniconda3/envs/py311/lib/python3.11/site-packages/statsforecast/core.py:75, in GroupedArray.fit(self, models, fallback_model)
73 fm[i, i_model] = new_fallback_model.fit(y=y, X=X)
74 else:
---> 75 raise error
76 return fm

File ~/bin/miniconda3/envs/py311/lib/python3.11/site-packages/statsforecast/core.py:67, in GroupedArray.fit(self, models, fallback_model)
65 for i_model, model in enumerate(models):
66 try:
---> 67 new_model = model.new()
68 fm[i, i_model] = new_model.fit(y=y, X=X)
69 except Exception as error:

AttributeError: 'AutoARIMA' object has no attribute 'new'