Datasets:
docs(forecasting): single-source-of-truth + methodology guard note
Browse files- forecasting/README.md +13 -4
forecasting/README.md
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## Refreshing (full paper-results reproduction)
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```bash
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LABEL=forecasting_full_20260622
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## Refreshing (full paper-results reproduction)
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**Single source of truth — avoid regressing to an old run.** The canonical run
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is pinned in exactly one place: `run_label` / `output_root` in
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`configs/paper/sweep_forecasting.yaml` (currently `forecasting_full_20260622`).
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The substrate-staging and bootstrap-draws scripts **default to it** (they read
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`output_root` from that file), so a bare `stage_leaderboard_substrates.py` or
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`produce_forecasting_bootstrap_draws.py` cannot silently rebuild the leaderboard
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from a stale substrate. To re-point the canonical run, edit **only** the sweep
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config. Likewise the **methodology is fixed in the sweep + code**:
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`within_user_aggregation: micro` (binary AUROC is **pooled per user** over all
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the user's horizon cells — the eval emits one pooled row/user; the legacy
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per-window "macro" path is *not* used for the leaderboard). All steps run from
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the OpenMHC code repo on Simurgh (SC); see
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`jobs/sc-cluster/forecasting_eval/README.md` for cluster details.
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```bash
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LABEL=forecasting_full_20260622
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