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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6
장
알고리즘 체인과 파이프라인
395
6.2
파이프라인 구축하기
MinMaxScaler
로 데이터의 스케일을 조정하고
SVM
모델을 훈련시키는 워크플로
workflow
를
Pipeline
을 사용해 어떻게 표현하는지 알아보겠습니다 (여기서는 그리드 서치는 사용하지 않
겠습니다). 먼저 각 단계를 리스트로 전달하여 파이프라인 객체를 만듭니다. 각 단계는 추정기
의 객체와 임의의 이름(아무 문자열이나 가능합니다
5
)으로 구성된 튜플
tuple
6
입니다.
In [7]:
from sklearn.pipeline import Pipeline
pipe = Pipeline([("scaler", MinMaxScaler()), ("svm", SVC())])
여기에서는 두 개의 단계를 만들었습니다. 첫 번째 단계는 “
scaler
”란 이름으로
MinMax
Scaler
의 객체입니다. 두 번째는 “
svm
”이란 이름으로
SVC
의 객체입니다. 이제
scikit
-
learn
의 다른 예측 모델처럼 파이프라인에서
fit
메서드를 호출합니다.
In [8]:
pipe.t(X_train, y_train)
pipe
.
fit
은 첫 번째 단계(
scaler
)의
fit
메서드를 호출하여 훈련 데이터를 변환하고, 마지막으
로 변환된 데이터에
SVM
모델을 훈련시킵니다. 테스트 세트로 평가하려면
pipe
.
score
를 호
출합니다. ...
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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.