Feature Model Card

機械支援の翻訳下書き (Japanese) for "Feature Model Card": Feature Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for input signals used by a machine learning model. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.

“例文の下書き: The machine learning team used Feature Model Card when a feature distribution shifted, so the team could publish model behavior honestly before the model moved into evaluation.”