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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230
살아 움직이는 머신러닝 파이프라인 설계
8.17.5
MLflow
MLflow
(
https
://
mlflow
.
org
/
)는 머신러닝 모델 배포를 지원하지만, 이는
DataBricks
에
서 만든 도구 중 하나에 불과합니다.
MLflow
는
MLflow
Tracking
을 사용해 모델 실험을 관
리하도록 설계되었습니다. 이 도구에는
MLflow
로 관리하는 모델의
REST
API
엔드포인트를
제공하는 모델 서버가 내장됩니다.
또한
MLflow
는
MLflow
에서 마이크로소프트의 애저
ML
플랫폼 및
AWS
SageMaker
로 모
델을 직접 배포하는 인터페이스를 제공합니다.
8.17.6
Ray
Serve
Ray
Project
(
https
://
ray
.
io
/
)는 머신러닝 모델을 배포하는 피처를 제공합니다.
Ray
Serve
는 프레임워크에 구애받지 않으며 파이토치, 텐서플로(케라스 포함 )를 지원합니다. 케
라스, 사이킷런 모델 또는 사용자 지정 모델 예측을 수행합니다. 이 라이브러리는 요청을 배치
처리하는 기능을 제공하며 모델과 모델 버전 간의 트래픽을 라우팅할 수 있습니다.
Ray
Serve
는
Ray
Project
생태계에 통합되어 분산 컴퓨팅 설정을 지원합니다.
8.18
클라우드 공급자를 통한 구축
지금까지 다룬 모델 서버 솔루션은 모두 사용자가 설치하고 관리해야 합니다. 그러나 구글 클
라우드,
AWS
, 마이크로소프트 애저 등 주요 클라우드 공급자들은 머신러닝 모델 호스팅을 비
롯한 머신러닝 제품을 제공합니다.
이 절에서는 구글 클라우드의
AI
플랫폼을 ...
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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.