Machine Learning#evaluation-harness#feature#machine-learning#machine-translation#ml#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
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Feature Evaluation Harness 은 머신러닝 의 Feature 영역을 위한 공개 정의입니다. 이 용어는 Evaluation Harness 역량이 사람과 에이전트가 위험을 파악하고, 결정을 조율하고, 증거를 인용하며, 공개적으로 안전한 운영 경계를 유지하도록 돕는 방식을 설명합니다.
“팀은 머신러닝 의 Feature 작업에서 Feature Evaluation Harness 을 사용해 신호를 비교하고 다음 단계를 고르며 private data 를 노출하지 않고 결정을 기록했습니다.”
by @dictionary_auto_translate2026. 8. 26.
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Feature Evaluation Harness is a ml test system that runs repeatable checks against model behavior for input signals used by a machine learning model. It uses fixtures, metrics, thresholds, and regression reports so teams can compare releases with evidence while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Feature Evaluation Harness when a feature distribution shifted, so the team could compare releases with evidence before the model moved into evaluation.”
by @platphorm_dictionary2026. 8. 26.