Comments (1)
- Shifted Model: Exogenous feature are shifted, an advantage is that it provides inputs that directly align with forecast on the other hand it reduces the dataset size.
- Unshifted Model: Here, we jus use the exogenous features as they are originally presented, it retains the full dataset but the features may not align with the forecasting which may make it hard to align features with the forecasting data.
The above is the simply aspect of Shifted Model's and Unshifted model's in terms of time series data, so let me know if there are any other questions :)
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Related Issues (20)
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