May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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209
5
장
서포트 벡터 머신
선형
SVM
분류기를 훈련시키기 위해 (
4
장에서 본) 일반적인 확률적 경사 하강법을 적용합니
다.
LinearSVC
만큼 빠르게 수렴하지는 않지만 데이터셋이 아주 커서 메모리에 적재할 수 없거
나(외부 메모리 훈련 ), 온라인 학습으로 분류 문제를 다룰 때는 유용합니다.
TIP
LinearSVC
는 규제에 편향을 포함시킵니다. 그래서 훈련 세트에서 평균을 빼서 중앙에 맞춰야 합니다.
StandardScaler
를 사용하여 데이터 스케일을 맞추면 자동으로 이렇게 됩니다. 또한
loss
매개변수를
"
hinge
"
로 지정해야 합니다.
5
마
지막으로 훈련 샘플보다 특성이 많지 않다면 성능을 높이기 위해
dual
매개
변수를
False
로 지정해야 합니다(이 장 뒷부분에서 쌍대
duality
문제에 대해 자세히 설명하겠습니다).
5.2
비선형
SVM
분류
선형
SVM
분류기가 효율적이고 많은 경우에 아주 잘 작동하지만, 선형적으로 분류할 수 없는
데이터셋이 많습니다. 비선형 데이터셋을 다루는 한 가지 방법은 (
4
장에서처럼 ) 다항 특성과
같은 특성을 더 추가하는 것입니다. 이렇게 하면 선형적으로 구분되는 데이터셋이 만들어질 수
있습니다. [그림
5
-
5
]의 왼쪽 그래프는 하나의 특성
x
1
만을 가진 간단한 데이터셋을 나타냅니
다. 그림에서 볼 수 있듯이 ...
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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.