محفزات إعادة التدريب وحلقات التغذية الراجعة

events = [{"reason":"data-change", "snapshot":"data-2"},
          {"reason":"data-change", "snapshot":"data-2"},
          {"reason":"schedule", "snapshot":"data-2"}]
requested = set()
for event in events:
    identity = (event["snapshot"], "recipe-1")
    new_request = identity not in requested
    requested.add(identity)
    print(event["reason"], "new training request", new_request)
print("unique requests", len(requested))

data-change new training request True
data-change new training request False
schedule new training request False
unique requests 1

تدمج الهوية المعلنة الأحداث في طلب اصطناعي واحد للقطة ووصفة؛ ولا تدرب أو تجدول شيئاً.

population = [{"id":"a","score":0.9,"outcome":1},
              {"id":"b","score":0.8,"outcome":0},
              {"id":"c","score":0.2,"outcome":1},
              {"id":"d","score":0.1,"outcome":0}]
reviewed = [row for row in population if row["score"] >= 0.5]
print("reviewed ids", [row["id"] for row in reviewed])
print(f"observed coverage={len(reviewed)/len(population):.2f}")
print("unreviewed outcomes identifiable from observed labels alone", False)

reviewed ids ['a', 'b']
observed coverage=0.50
unreviewed outcomes identifiable from observed labels alone False

تقدم جميع النتائج فقط لكشف آلية الانتقاء الاصطناعية؛ ولا تكشف عملية وسم منتقى حقيقية نتائج غير المراجع تلقائياً.