3.3 svm预测

python代码：python import numpy as np import pylab as pl from sklearn import svm #建立点 np.random.seed(0) X = np.r_[ np.random.rand( 10 ,2 )*10 - [ 10,10] , np.random.rand( 10 ,2 )*10 + [ 10,10] ] Y = [0]

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