# f2_blr — model card

Auto-generated by `tools/generate_model_cards.py` on 2026-05-17.

## Default configuration (out-of-box hyperparameters)

_(no config.json schema; see trainer source)_

## Feature set (1 columns)

- `(univariate: imbalance_price_dkk_mwh_15min)`

## Frozen-seed results (5 seeds: 13, 42, 137, 1729, 31415)

| Metric | Value |
|---|---|
| Val pinball mean (DKK) | **382.13 ± 0.00** |
| Raw [q10, q90] coverage | 61.33 ± 0.00% |
| ACI marginal coverage (target 90%) | 89.24 ± 0.00% |
| ACI mean width (DKK) | 4438.15 ± 0.00 |
| Inference runtime (s) | — |

## Provenance

- Trained on `data/processed/dk1_panel_{train, val}.parquet` (FX-corrected 2026-05-16)
- Seeds: `[13, 42, 137, 1729, 31415]` (frozen project-wide)
- Train cutoff: 2025-02-28 UTC
- Val window: 2025-03-04 → 2025-04-30 UTC (post-EAM regime)
- Per-seed artifacts at `models/forecaster/f2_blr/seed-<n>/`:
  - `model.pt` / `model.npz` — weights
  - `stats.pkl` — train-stat normalization (mean/std/target stats)
  - `val_preds.npz` — quantile predictions on val
  - `metrics.json` — pinball / coverage / ACI numbers
  - `aci_state.json` — final ACI state (α_t, buffer)