Nixtla's Open Source Time Series Ecosystem.

Nixtla Community

Hi <@U04UTT23343>. Are you using `horizon=1` ? We fixed this issue in a recent Pull Request to the main branch (solving this issue <https://github.com/Nixtla/neuralforecast/issues/609>). The fix is available installing the library from the main branch. We will make a new release to PyPi next week.

Hi Christian, yes, I am using horizon=1. In my case this forecasting horizon is applicable, since I am working with quarterly data (low frequency).

I will install from the main branch and see if it resolves the issue, thanks for responding so quickly.