Hi @Chris Gervais , if you are using the auto wrappers of the experiment utils: You can parse the predictions from the trials dictionary, see the end part of this N-HiTS Colab example

i think we're able to unpack the results no problem, but we're having issues assigning timestamps to the predictions

sorry for the inconvenience we are working on this pull request to assign the predictions time stamps, we hope to have it ready for Thursday https://github.com/Nixtla/neuralforecast/pull/237

no worries! i think we're having issues backing out the timestamps because the val + test masks are all 1's and they're only valid for their respective data splits, whereas the meta data that comes back (containing timestamps) is for the entire train / val / test dataset

We will ping you on Thursday, for the updated predict functions with the datestamps This has been bugging us too

👍 thanks!

We plan to integrate the predictions with dates into main by Thursday

do these methods work with

experiments/utils.py::predict(...)

?

We have not integrated the in-sample

NHITS.predict

function in the

experiments/utils.py

The method is creating the predictions, parsing them and returning Y_hat_df in long format.

I noticed the MR was closed recently, is this feature planned for a future release?

Good to know 👍

do you have any guidance on when to use

.predict

vs

.forecast

?

We intended forecast to be used for outsample predictions

👍 ah okay thanks!