代碼如下：

import?numpy?as?np
class?Perceptron(object):
????def?__init__(self,eta=0.01,n_iter=2):
????????self.eta=eta
????????self.n_iter=n_iter
????def?fit(self,x,y):
????????self.w_=np.zeros(1+x.shape[1])
????????self.errors_=[]
????????for?t?in?range(0,self.n_iter):
????????????errors=0
????????for?k,target?in?zip(x,y):
????????????update=self.eta?*?(target-self.predict(k))
????????????self.w_[1:]+=update?*?k
????????????self.w_[0]+=update
????????????errors+=np.where(update==0.0,1,-1)
????????????if?errors?>?x.shape[0]:
????????????????return?(self.w_)
????????????else:
????????????????self.errors_.append(errors)
????def?net_input(self,x):
????????return?np.dot(x,self.w_[1:])+self.w_[0]
????def?predict(self,x):
????????return?np.where(self.net_input(x)>0.0,-1,1)

P1=Perceptron()
x1?=?[[0,1,2],[0,0,0]]
x2=np.array(x1)
print(x2)
y1=np.array([1,-1])
print(x2.shape)
L1=P1.fit(x2,y1)
print(L1)
print(x2)

謝謝大神，請(qǐng)求對(duì)代碼進(jìn)行指點(diǎn)修改，當(dāng)前對(duì)于輸入的數(shù)據(jù)，得到的返回權(quán)值是None，請(qǐng)問原因是什么，怎么修改，萬(wàn)分感謝！