April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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124
2부MLOps적용방법
모니터링에서 사용할 수 있다. 입력값 드리프트 감지로 이 접근 방법을 보완하여, 새로운 미개
척 도메인과 관련된 실측 데이터를 모델 재학습에 활용할 수 있을지 확인할 수 있다.
7.2.2
입력값 드리프트 감지
앞에서 살펴본 실측 데이터 기반 재학습의 과제와 한계를 고려할 때, 보다 실용적인 방안은 입
력값 드리프트 감지가 될 수 있다. 여기서는 드리프트에 대한 기본적인 이론을 간략하지만 깊
이 있게 살펴보고, 모델과 데이터가 드리프트될 수 있는 다양한 시나리오를 확인해본다.
UCI
와인 품질 데이터 세트(
https://oreil.ly/VPx17
)를 학습 데이터로 활용하여 보르도
Bordeux
와인의 품질에 대한 예측을 목적으로 한다고 가정하자. 해당 데이터에는 포르투갈 와인인 빈호
베르데
Vinho
Verde
의 레드 및 화이트 품종에 대한 정보와 함께
0
에서
10
사이에 분포하는 품질 점
수가 들어 있다.
각 와인에 대해 ‘종류, 고정 산도, 휘발성 산도, 구연산, 잔류 당, 염소화물, 유리 이산화황, 총
이산화황, 밀도,
pH
, 황산염, 알코올 도수’라는 특성을 제공한다.
모델 생성을 단순화하기 위해 좋은 와인은 품질 점수가
7
보다 크거나 같은 와인이라고 하자.
그렇다면 목표는 와인의 속성으로부터 품질 점수를 예측하고 좋은 와인인지 아닌지 판정하는
이진
binary
모델을 구축하는 것이다.
데이터 드리프트를 시연하기 위해, 원본 데이터 세트를
2
개로 명시적으로 분할하겠다.
●
wine
_
alcohol
_
above ...
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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.