class PerceptionPair:
#初始化一些参数学习率，gram矩阵等等
7 def __init__(self, dataSet, target, learningrate=1):
8 self.lr = learningrate
9 self.a = np.zeros(len(dataSet), np.float)
10 self.b = 0.0
11 self.gram = np.matmul(np.array(dataSet), np.array(dataSet).T)
12 self.target = target
13 #计算判断是否误分类的值
14 def calc(self,i):
15 res = np.dot(self.a*self.target, self.gram[i])
16 res = (res+self.b)*target[i]
17 return res
18
19 def train(self, inputs, target):
20 flag = False
21 m = len(inputs)
22 res = 0.0
23 for i in range(m):
# 进行权值更新
24 if self.calc(i) <= 0:
25 self.a[i] += self.lr
26 self.b += target[i]
27 print(self.a, self.b)
Ref：
1.统计学习方法-李航