Akash Verma
08/18/2023, 7:42 AMMariana Menchero
08/19/2023, 9:36 PMdf.to_parquet(your path). <https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_parquet.html|https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_parquet.html>
If you have any more questions, please let me know.Leonie
08/21/2023, 6:41 PMMariana Menchero
08/22/2023, 6:12 PMLeonie
08/22/2023, 11:24 PMmodels = [AutoARIMA(season_length=24)]
sf = StatsForecast(models=models, freq='H')
sf.fit(df=df_train)
Now I want to test the production case, so I have a test dataframe and at 2 pm everyday the next day should be forecasted based on test data but without re-fitting the model on test data.
something like this:
sf.predict(df = df_test, h=horizon)
How does that work?Akash Verma
08/23/2023, 5:45 AMMariana Menchero
08/24/2023, 6:23 AMAkash Verma
08/24/2023, 6:35 AMMariana Menchero
08/24/2023, 6:41 AM