西瓜书课后习题——第六章
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6.1
6.2
from libsvm.svm import *
from libsvm.svmutil import *
y = [1,1,1,1,1,1,-1,-1,-1,-1,-1,-1]
x = [1:0.774,2:0.376,1:0.634,2:0.264,1:0.608,2:0.318,1:0.556,2:0.215,1:0.403,2:0.237,
1:0.481,2:0.149,1:0.666,2:0.091,1:0.243,2:0.267,1:0.245,2:0.057,1:0.343,2:0.099,
1:0.639,2:0.161,1:0.657,2:0.198]
yt = [1,1,-1,-1,-1]
xt = [1:0.697,2:0.46,1:0.437,2:0.211,1:0.719,2:0.103,1:0.593,2:0.042,1:0.36,2:0.37]
#y、x是训练集,yt、xt是测试集
prob = svm_problem(y, x)
param = svm_parameter(‘-t 2 -c 35‘) #t = 2是高斯核,t = 0是线性核
model = svm_train(prob, param)
p_label, p_acc, p_val = svm_predict(yt, xt, model)
p_label
高斯核和线性核训练出来没有区别
6.3
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