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Hi guys, I have a dataframe that has lagged columns of the target value and SMA columns along with year,date,month, WoW etc.. Is there a way in Greykite to accomadate those lagged and SMA columns? Please do let me know if there's anything. Thanks in advance
The text was updated successfully, but these errors were encountered:
Hi! Do you mean that you have these columns ready and want to use them as regressors? You can specify them as extra_pred_cols in the custom parameter. Please read the document here for more details. Thanks!
Yes, my original dataset does contain these features already.
Also, I wanted to know regarding training the model and predicting the test data. After which I would like to predict future values? Is there a way to do this ?
Hi! To forecast for future values, you can set forecast horizon to a desired number, and the forecasted values will be stored in result.forecast(more details here.) You can also use the stored model to predict for future timepoints, there's instructions on the same page. Let me know if you have more specific question on this, thanks!
Hi guys, I have a dataframe that has lagged columns of the target value and SMA columns along with year,date,month, WoW etc.. Is there a way in Greykite to accomadate those lagged and SMA columns? Please do let me know if there's anything. Thanks in advance
The text was updated successfully, but these errors were encountered: