October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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354
살아 움직이는 머신러닝 파이프라인 설계
13.3
피드백 루프를 추적하는 방법
비즈니스와 모델 유형에 가장 적합한 피드백 루프를 결정했으면 이제 머신러닝 파이프라인에
통합해야 합니다. 여기서
7
장에서 논의한 모델 검증이 절대적으로 중요합니다. 새로운 데이터
가 시스템을 통해 전파되므로 추적 중인 지표에 비해 시스템 성능이 저하되어서는 안 됩니다.
핵심 개념은 모든 예측이 [그림
13
-
3
]과 같이 추적
ID
를 수신해야 한다는 점입니다. 이는 각
예측이 추적
ID
와 함께 저장되는 일종의 예측 레지스터를 사용하여 구현할 수 있습니다. 예측
과
ID
가 응용프로그램에 전달된 후 사용자에게 예측이 표시됩니다. 사용자가 피드백을 제공하
면 프로세스가 계속됩니다.
학습된 모델
나머지
파이프라인
예측값 등록 애플리케이션
피드백 등록
피드백
후처리
사용자
예측 예측
예측
예측 ID
예측 ID
그림
13-3
피드백 추적
수집한 피드백은 해당 예측의 추적
ID
와 함께 피드백 레지스터에 저장됩니다. 데이터 처리 단
계는 피드백과 원래 예측을 결합합니다. 이로써 데이터와 모델 검증 단계를 통해 피드백을 추
적하여 새 모델 버전에 어떤 피드백이 작용하는지 알 수 있습니다.
13.3.1
명시적 피드백 추적
앞에서 설명한 대로 시스템이 명시적 피드백을 수집할 때 추적하는 방법은 두 가지가 있습니다.
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and much more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.