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| # Models | |
| Shipped trained surrogate bundles used at runtime by the web app and | |
| validation scripts. | |
| | Path | Purpose | | |
| | --- | --- | | |
| | `surrogate_v9/quantile_bundles.joblib` | v9 quantile-XGB heads (calibrated 90% PIs) for the Current Design and Explain Design tabs | | |
| Training-time metrics (`coverage.csv`, `median_sanity.csv`, etc.) are | |
| written to `reports/surrogate_v9/` when you re-fit. A full calibration | |
| run via `scripts/calibrate_intervals.py` publishes the runtime bundle | |
| here automatically: | |
| ```bash | |
| python scripts/calibrate_intervals.py \ | |
| --dataset data/analytical/lhs_v9.parquet \ | |
| --tuned-params reports/tuned_v9/tuned_best_params.json | |
| ``` | |
| Use `--no-publish-bundle` on smoke runs so partial calibrations do not | |
| overwrite the shipped model. Override the runtime path with | |
| `ROVERDEVKIT_QUANTILE_BUNDLES` if needed. | |