Closed hdattada closed 1 year ago
I think I know whats happening, it would be great to get a confirmation. The training window is set by length_of_dataset - num_of_lags
so in my case my dataset size was 13 and my lag was 12. So only 1 value was being added to the last window. Is that understanding right?
Hello @hdattada,
Yes, that is a bug we found in version 0.4.3. You can read a full description in this issue.
We fixed it in version 0.5.0. We are still developing this version but you can install it from GitHub using in the shell:
pip install git+https://github.com/JoaquinAmatRodrigo/skforecast@0.5.x
Please, let us know if this fixes your problem.
Thank you very much!
Fixed it in version 0.5.0.
I am using Skforecast for the first time and I am having trouble forecasting steps which is larger than the number of lags. Below is my sample dataframe with 13 historic values
Python Version: 3.8 skforecast version: 0.4.3
Forecaster Object after fitting
Code used for fitting and prediction
Error: