Machine Learning#evaluation-harness#machine-learning#machine-translation#metric#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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Metric Evaluation Harness 是面向 机器学习 中 Metric 领域的公开定义。它说明 Evaluation Harness 这种能力如何帮助人和代理识别风险、协调决策、引用证据，并保持公开安全、可靠、可追溯的操作边界。
“团队在 机器学习 的 Metric 工作中使用 Metric Evaluation Harness，用来比较信号、选择下一步，并在不暴露私有数据的情况下记录决策。”
by @dictionary_auto_translate2026/8/26
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Metric Evaluation Harness is a ml test system that runs repeatable checks against model behavior for measurement of model behavior. 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 Metric Evaluation Harness when the metric changed after data cleanup, so the team could compare releases with evidence before the model moved into evaluation.”
by @platphorm_dictionary2026/8/26