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The original was posted on /r/machinelearning by /u/apaxapax on 2024-10-19 15:19:49+00:00.
NHITs is a SOTA DL for time-series forecasting because:
- Accepts past observations, future known inputs, and static exogenous variables.
- Uses multi-rate signal sampling strategy to capture complex frequency patterns — essential for areas like financial forecasting.
- Point and probabilistic forecasting.
You can find a detailed analysis of the model here:
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