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Fix the decision ceiling to count enrolled facings only

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The text lane can answer an unenrolled sibling correctly, and those answers
were counted in a ratio whose denominator is the enrolled count, so the
ceiling read 117%. It now reads 86% for the local lane, which is the number
the docstring always described.
This commit is contained in:
tngo 2026-09-29 02:09:46 +09:00
parent bf9c04bce4
commit 4c32e120ec
1 changed files with 7 additions and 1 deletions
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8
recognization/code/eval_identity.py
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@ -487,6 +487,10 @@ def score_lane(
unenrolled_count = len(in_catalog) - enrolled_count
correct = wrong = rejected = top1_correct = 0
# The decision ceiling is over enrolled facings only. The text lane can
# answer an unenrolled sibling correctly, and counting that in a ratio
# whose denominator is the enrolled count reports a ceiling above 100%.
enrolled_correct = 0
unknown_false = unenrolled_false = 0
accepts: Counter = Counter()
per_sku: Dict[str, List[int]] = {}
@ -510,6 +514,8 @@ def score_lane(
if answered == truth:
correct += 1
bucket[0] += 1
if truth in enrolled_skus:
enrolled_correct += 1
elif answered:
wrong += 1
if truth not in enrolled_skus:
@ -537,7 +543,7 @@ def score_lane(
"rejected": rejected,
"catalog_ceiling": round(enrolled_count / len(in_catalog), 4) if in_catalog else None,
"identity_ceiling": round(top1_correct / enrolled_count, 4) if enrolled_count else None,
"decision_ceiling": round(correct / enrolled_count, 4) if enrolled_count else None,
"decision_ceiling": round(enrolled_correct / enrolled_count, 4) if enrolled_count else None,
"end_to_end_coverage": round(correct / len(in_catalog), 4) if in_catalog else None,
"false_accepts": wrong,
"unknown_false_accepts": unknown_false,