sklearn3_svc分类器预测
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svc分类器预测
# -*- coding: utf-8 -*- """ Created on Sat Jan 6 17:47:24 2018 @author: daxiong """ from sklearn import datasets from sklearn.svm import SVC iris = datasets.load_iris() clf = SVC() clf.fit(iris.data, iris.target) list(clf.predict(iris.data[:3])) ''' Out[34]: [0, 0, 0] ''' #clf.fit(iris.data, iris.target_names[iris.target]) #list(clf.predict(iris.data[:3])) '''Out[32]: ['setosa', 'setosa', 'setosa']''' clf.predict(([ 5.1, 3.5, 1.4, 0.2],)) ''' Out[71]: array([0]) ''' clf.predict(([ 5.1, 3.5, 1.4, 0.2],[ 4.9, 3. , 1.4, 0.2])) ''' array([0, 0])'''
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