Monthly M3 Implementation of ESRNN about esrnn_torch HOT 3 CLOSED

I have the same issue, have you solved it?

from esrnn_torch.

No I unfortunately, I have not solved it.

from esrnn_torch.

Hi!

We reviewed the colab notebook and made a few small changes to resolve the issue. In particular, we believe the following points will be useful for you:

• Check that the frequencies of the datasets (X_train_df, y_train_df, X_test_df, y_test_df) are all the same. With this verified, the ESRNN argument frequency = None can be used; this argument will automatically detect the frequency of the time series and use it to generate the predictions.
• Check the output_size argument. This argument determines the number of predictions that will be generated per time series. If this number is less than the size of the time series in the test set, the remaining values will be set to NA, so the OWA will be NA.

Thanks for your comments!

Reviewed colab notebook

from esrnn_torch.