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MLOps 실전 가이드
book

MLOps 실전 가이드

by 노아 기프트, 알프레도 데자, 이일섭, 서기원, 맹윤호(감수), 이장후
July 2023
Beginner to intermediate
496 pages
11h 43m
Korean
Hanbit Media, Inc.
Content preview from MLOps 실전 가이드
353
8
애저 환경과 MLOps
며, 애저는
SDK
및 머신러닝 스튜디오 내에서 단계별로 다양한 유형의 작업에 맞는 서비스를
제공하고 있다. 아래 예제에서는 파이프라인의 핵심적인 컴퓨팅 부분은 없지만, 데이터 준비에
필요한 거의 모든 내용을 포함하고 있다.
먼저
PythonScriptStep
함수에서
as
_
named
_
input
을 통해 데이터셋 입력값을 호출한다. 이
PipelineData
로 출력값에 대한 지정 등 파이프라인 내의 데이터에 대한 쿼리를 작성할 수
있다. 다음은
SDK
를 사용하여 기존에 생성된 컴퓨팅 대상을 검색하는 방법이다.
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core import Workspace
ws = Workspace.from_config()
# retrieve the compute target by its name, here a previously created target
# is called "mlops-target"
compute_target = ws.compute_targets["mlops-target"]
애저에서는 필요에 따라 환경 변수를 설정하여 런타임을 구성할 수 있다. 예를 들어 애저가 종
속성을 관리하려는 경우 관련 설정을 ...
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Publisher Resources

ISBN: 9791169211215