1. 라이브러리 로딩 from sklearn import svm from sklearn import metrics from sklearn import datasets from sklearn import model_selection import tensorflow as tf import pandas as pd import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' TF CPP MIN LOG LEVEL 환경변수를 사용해 로깅 제어합니다. - 0 : 기본값, 모든 로그 표시 - 1: INFO 로그 필터링 - 2: WARNING 로그 필터링 - 3: ERROR 로그 추가 필터링 2.
데이터셋 로딩 (사이킷런에서 제공하는 iris 데이터 사용) iris = datasets.load_iris() 데이터셋을 불러와 훈련 데이터와 검증 데이터로 분리합니다. x_train, x_test, y_train, y_test = model_selection.train_te...
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code
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코랩
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코딩
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인공지능
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윈도우
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구글
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windows
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tensorflow
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svm
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google
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colab
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coding
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텐서플로우
원문 링크 : [TensorFlow] SVM 네가지 특성으로 붓꽃 분류
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