다음 절에서 설명하는 개념은 머신러닝 파이프라인을 필요에 따라 임의의 기능을 지정할 수 있
는 최고의 유연성을 제공합니다. 다음은 사용자 지정 컴포넌트를 활용하는 몇 가지 아이디어입
니다.
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사용자 지정 데이터베이스에서 데이터 수집
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생성된 데이터 통계가 포함된 이메일을 데이터 과학팀에 전송
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새 모델을 배포하면 데브옵스팀에 알림
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도커 컨테이너 내보낸 후 빌드 프로세스 시작
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머신러닝 감사 기록에 추가 정보 기록
이를 각각 구축하는 방법은 설명하지 않지만, 이런 아이디어가 ...
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