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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163
7
장
모델 분석 및 검증
TFX
파이프라인에서
TFMA
는
Trainer
컴포넌트가 내보낸 저장된 모델을 기반으로 지표를
계산합니다. 이 모델이 바로 배포될 모델입니다. 따라서 서로 다른 모델 버전 간의 혼동을 방지
할 수 있습니다. 텐서보드를 사용하면 모델 학습 중 미니배치상에 추론된 대략적인 지표만 제
공하지만,
TFMA
는 전체 평가 데이터셋에 걸쳐 지표를 계산합니다. 이는 특히 대규모 평가 데
이터셋과 관련이 있습니다.
7.2.1
TFMA
에서 단일 모델 분석하기
이 절에서는
TFMA
를 독립 실행형 패키지로 사용하는 방법을 알아봅니다.
TFMA
는 다음과 같
이 설치합니다.
$ pip install tensorflow-model-analysis
저장된 모델과 평가 데이터셋을 입력으로 사용합니다. 이 예에서는 케라스 모델이
SavedModel
형식으로 저장되고 평가 데이터셋을
TFRecord
파일 형식으로 사용할 수 있다고
가정합니다.
먼저
SavedModel
을
EvalSharedModel
로 변환해야 합니다.
import
tensorflow_model_analysis
as
tfma
eval_shared_model = tfma.default_eval_shared_model(
eval_saved_model_path=_MODEL_DIR,
tags=[tf.saved_model.SERVING]) ...
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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.