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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167
7
장
모델 분석 및 검증
7.2.2
TFMA
에서 다중 모델 분석하기
TFMA
를 사용하여 여러 모델에서 지표를 비교할 수도 있습니다. 예를 들어, 서로 다른 데이터
셋으로 학습한 모델과 동일하거나, 서로 다른 하이퍼파라미터로 동일한 데이터셋으로 학습한
두 모델을 비교할 수 있습니다.
모델을 비교하려면 먼저 앞의 코드 예제와 유사한
eval
_
result
를 생성해야 합니다. 그리고
모델을 저장할
output
_
path
위치를 지정해야 합니다. 두 모델 모두 같은
EvalConfig
를 사용
하여 동일한 지표를 계산할 수 있습니다.
eval_shared_model_2 = tfma.default_eval_shared_model(
eval_saved_model_path=_EVAL_MODEL_DIR, tags=[tf.saved_model.SERVING])
eval_result_2 = tfma.run_model_analysis(
eval_shared_model=eval_shared_model_2,
eval_config=eval_config,
data_location=_EVAL_DATA_FILE,
output_path=_EVAL_RESULT_LOCATION_2,
file_format=’tfrecords’)
그리고 다음 코드를 사용하여 로드합니다.
eval_results_from_disk ...
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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.