alvis 2d7cf217a9 feat(ml): egreedy-v2 shadow policy — D=12 with profile features (#99) ...

Ship the scaffolding for #99 (phase B.3 of #81):

- ml/serving: add /score/egreedy/v2, /reward/egreedy/v2, /stats/egreedy/v2
  endpoints (D=12). New feature dims: completion/dismiss rates, mean dwell
  (clipped 10min), preferred-hour alignment (cosine, 1-dim), tip volume (log).
  Separate state file per user (_egreedy_v2.json). /reset clears v2 state too.
- ADR-0012: documents D=7→12 dimension change, normalization choices, shadow
  rollout protocol, and promotion gate (offline sim win per ADR-0002).
- recommender.ts: register egreedy-v2-shadow in shadow-policy map (disabled by
  default). When enabled, calls /score/egreedy/v2 fire-and-forget and publishes
  shadow:egreedy-v2-shadow serve signal. No reward to shadow — sim is the gate.
- sim runner/personas: personas carry synthetic profile_features per persona;
  _call_score/_call_reward thread profile_features through (None-safe for v1/linucb).
- 18 new Python tests; all 56 Python + 170 TS tests pass.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-25 10:00:38 +00:00

..

__init__.py

feat: ε-greedy v1 as active policy; dwell-time reward inference; offline sim framework

2026-04-16 07:44:37 +00:00

test_generate.py

feat(ml): prompt registry + per-request variant selection

2026-04-24 15:44:04 +00:00

test_score.py

feat(ml): egreedy-v2 shadow policy — D=12 with profile features (#99)

2026-04-25 10:00:38 +00:00