April 2019
Beginner to intermediate
480 pages
12h 34m
Korean
Content preview from 파이썬 라이브러리를 활용한 머신러닝(번역개정판): 사이킷런 핵심 개발자가 쓴 머신러닝과 데이터 과학 실무서
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3
장
비지도 학습과 데이터 전처리
191
단축 메서드와 효율적인 방법
보통 어떤 데이터셋에
fit
을 적용하면
transform
을 호출합니다. 이는 매우 전형적인 작업
이라
fit
과
transform
을 차례로 호출하는 것보다 효율적인 방법이 필요합니다. 이럴 때를
위해
transform
메서드를 가진 모든 모델은
fit
_
transform
메서드를 제공합니다. 아래는
StandardScaler
를 사용한 예입니다.
In [10]:
from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
# 메소드 체이닝(chaining)을 사용하여 t과 transform을 연달아 호출합니다.
X_scaled = scaler.t(X_train).transform(X_train)
# 위와 동일하지만 더 효율적입니다.
X_scaled_d = scaler.t_transform(X_train)
fit
_
transform
이 모든 모델에서 효율이 더 좋은 것은 아니지만, 훈련 세트 변환에 이 메서드를
사용하는 것은 좋은 습관입니다.
7
3.3.5
지도 학습에서 데이터 전처리 효과
이제 다시
cancer
데이터셋으로 돌아가서
SVC
를 학습시킬 때
MinMaxScaler
의 효과를 확인
해보겠습니다(
2
장에서 한 스케일 조정과 같지만 ...
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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.