description: “The feature was present in fewer examples than expected.”
severity: ERROR
short_description: “Column dropped”
reason {
type: FEATURE_TYPE_LOW_FRACTION_PRESENT
short_description: “Column dropped”
description: “The feature was present in fewer examples than expected.”
}
path {
step: “company”
}
}
}
4.3.2
스키마 업데이트
앞의 이상치 프로토콜은 데이터셋에서 자동으로 생성된 스키마와의 차이를 탐지하는 방법을
보여줍니다.
TFDV
의 또 다른 사용 사례는 데이터에 관한 도메인 정보에 따라 스키마를 수동
으로 설정하는 것입니다. 앞에서 설명한
sub
_
issue
피처를 사용하여 이 피처가 학습 예제의
90
% 이상에 포함되도록 요구해야 한다고 판단되면 스키마를 업데이트하여 이를 반영할 수
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