chore: retire the tag-eval harness — it proved the heads system, job done (operator-approved)
The head-vs-centroid eval (#1130) existed to prove the 'frozen embedding + trained head' spine; the operator accepted the tagging system and dropped the harness. Removed per rule 22: TagEvalCard + store, /api/tag_eval blueprint, tag_eval_run ml task, recover-stalled-tag-eval-runs sweep + beat entry, TagEvalRun model + table (migration 0073), and its tests. The eval's data loaders + metric helpers were NOT eval-specific — the nightly heads trainer runs on them — so they moved verbatim to services/ml/training_data.py (heads.py import updated; behavior unchanged). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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@@ -1,7 +1,7 @@
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"""HeadTrainingRun — persisted lifecycle of a head-training batch (#114).
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Mirrors TagEvalRun so the run SURVIVES navigation and the admin card can show
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live + historical status instead of holding it in transient frontend state.
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A persisted run row (not transient frontend state) so the run SURVIVES
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navigation and the admin card can show live + historical status.
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Training is idempotent (it upserts tag_head rows), so a SIGKILL'd run is harmless
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— a maintenance recovery sweep flips a stalled `running` row to `error`, and the
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next run re-trains. State machine: running → ready / error.
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@@ -37,8 +37,8 @@ class HeadTrainingRun(Base):
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n_trained: Mapped[int | None] = mapped_column(Integer, nullable=True)
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n_skipped: Mapped[int | None] = mapped_column(Integer, nullable=True)
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error: Mapped[str | None] = mapped_column(Text, nullable=True)
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# Last time the task made progress — the recovery sweep tells a live run from
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# a SIGKILL'd one by this (mirrors TagEvalRun).
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# Last time the task made progress — the recovery sweep tells a live run
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# from a SIGKILL'd one by this.
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last_progress_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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