Describe the task. It can be a feature, documentation, etc.
Currently, the model requires a target tensor during inference, which limits its use to periods where ground truth data is available. This issue proposes making the target optional to enable inference on future timescales where no reference data exists (e.g., operational forecasting or out-of-distribution scenario simulation).
This requires:
- Decoupling the target from the inference pipeline so the forward pass can run without it
- Gracefully skipping loss computation and validation metrics when no target is provided
- Ensuring compatibility with existing training/evaluation workflows (i.e., no regression when target is present)
Hedgedoc URL, if you are keeping notes, plots, logs in hedgedoc.
No response
Area
Describe the task. It can be a feature, documentation, etc.
Currently, the model requires a target tensor during inference, which limits its use to periods where ground truth data is available. This issue proposes making the target optional to enable inference on future timescales where no reference data exists (e.g., operational forecasting or out-of-distribution scenario simulation).
This requires:
Hedgedoc URL, if you are keeping notes, plots, logs in hedgedoc.
No response
Area