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The model config files (e.g., example.yml) use array index offsets for length parameters. E.g., for single-step training, the model returns indexes i to i+0, so the yaml file says forecast_len: 0.
This is confusing for end-users. If the model is predicting one step ahead and returning a single timestep, the length of the forecast is 1 timestep, so the forecast_len parameter should be 1, not 0.
The text was updated successfully, but these errors were encountered:
The model config files (e.g., example.yml) use array index offsets for length parameters. E.g., for single-step training, the model returns indexes i to i+0, so the yaml file says
forecast_len: 0
.This is confusing for end-users. If the model is predicting one step ahead and returning a single timestep, the length of the forecast is 1 timestep, so the
forecast_len
parameter should be 1, not 0.The text was updated successfully, but these errors were encountered: