Akash Verma08/18/2023, 7:42 AM
Mariana Menchero08/19/2023, 9:36 PM
If you have any more questions, please let me know.
df.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>
Leonie08/21/2023, 6:41 PM
Mariana Menchero08/22/2023, 6:12 PM
Leonie08/22/2023, 11:24 PM
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:
models = [AutoARIMA(season_length=24)] sf = StatsForecast(models=models, freq='H') sf.fit(df=df_train)
How does that work?
sf.predict(df = df_test, h=horizon)
Akash Verma08/23/2023, 5:45 AM
Mariana Menchero08/24/2023, 6:23 AM
Akash Verma08/24/2023, 6:35 AM
Mariana Menchero08/24/2023, 6:41 AM