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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살아 움직이는 머신러닝 파이프라인 설계
)
context.run(evaluator)
TFMA
시각화는 다음과 같이 확인할 수 있습니다.
eval_result
=
evaluator.outputs[‘evaluation’].get()[0].uri
tfma_result
=
tfma.load_eval_result(eval_result)
공정성 지표를 로드하는 방법은 다음과 같습니다.
tfma.addons.fairness.view.widget_view.render_fairness_indicator(tfma_result)
7.5.3
Evaluator
컴포넌트에서의 검증
Evaluator
컴포넌트는 방금 학습한 후보 모델이 기준선 모델 (예: 현재 배포 중인 모델)의 개
선 사항인지를 확인하는 검증도 수행합니다. 평가 데이터셋의 두 모델에서 예측값을 얻고 두
모델에서 성능 지표 (예: 모델 정확도 )를 비교합니다. 새 모델이 이전 모델보다 개선되었다면
새 모델에는 ‘승인’ 아티팩트가 표시됩니다. 현재는 슬라이스가 아닌 전체 평가 집합에서만 지
표를 계산할 수 있습니다.
검증을 수행하려면
EvalConfig
에서 임곗값을 설정해야 합니다.
eval_config=tfma.EvalConfig(
model_specs=[tfma.ModelSpec(label_key=’consumer_disputed’)], ...
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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.