chore: bump wifi-diag-schema to v1.2.0

docs(model-card): resolve TBD-at-publish provenance to v1.0.0 commit

publish: include Phase 2 model artifacts for v1.0.0 release

docs(05-05): extend MODEL_CARD.md to 12-column table + Reality Anchor block

feat(05-05): Reality Anchor pipeline + tests (D-ANCHOR-04 launch gate)

docs(05-06): results-first README refactor (above-the-fold byte-equal block)

docs(05-06): add canonical Mermaid architecture source + PNG render

chore(deps): bump wifi-diag-schema to v1.1.0 (D-CROSS-01)

feat(02-05): un-ignore Phase 2 artifacts + add MODEL_CARD verification tests

feat(02-05): MODEL_CARD.md — Mitchell 9 sections + results-first + Reality Anchor (PORT-01)

ci(02-02): metrics-regression job — tag-trigger + Sunday cron (D-REPRO-03)

feat(02-02): bootstrap eval_metrics_reference.json fixture (Pitfall 9)

test(02-02): add failing metrics-regression tests (D-REPRO-01, Pitfall 9)

feat(02-02): make-train orchestrator + Makefile/gitignore (Pattern 6, D-REPRO-04)

test(02-02): add failing smoke tests for make-train pipeline

feat(02-03): implement plots — confusion matrix, dual reliability grid, lead-time CDFs

test(02-03): add failing tests for confusion matrix + reliability grid + lead-time CDFs

feat(02-03): implement per-class ECE/Brier + eval_metrics builder

test(02-03): add failing tests for per-class ECE/Brier + eval_metrics builder

feat(02-04): PyOD IForest trainer + 95p threshold + per-class lead-time scorer

feat(02-01): inference adapter — predict_verdict + per-mode mask

test(02-04): add failing tests for PyOD IForest trainer + lead-time scorer

feat(02-01): feature matrix assembly + calibrated LightGBM classifier

feat(02-04): normal-baseline synthetic generator + make synth-normal

feat(02-01): wire Phase 2 ML deps + master seed plumbing

test(02-04): add failing tests for normal-baseline synthetic split

ci(01-05a): matrix CI + smoke-train + HF Hub release + pre-commit + LFS

feat(01-04): DATASHEET.md (Gebru et al. format) + README link

test(01-04): wave 0 — DATASHEET completeness regression gate (RED)

feat(01-03): generate.py entry point + columnar Parquet writer

feat(01-03): 10 per-class state machines + GENERATORS registry

feat(01-03): wave 0 — model repo skeleton + 3 generator tests + Makefile

feat: initial pyproject.toml + README (model repo)