3.3 svm預測

python代碼：python import numpy as np import pylab as pl from sklearn import svm #建立點 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]

>>阅读原文<<