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[求助] Python定义函数时显示syntax error

def train(self,labels,iteration,rate,input_vecs):
      for i in range(iteration):
         self._one_iteration(input_vecs,labels,rate)
上述代码的第一行显示有错：
runfile('D:/Data_Rabbit/code/myself/DL/Perceptron.py', wdir='D:/Data_Rabbit/code/myself/DL')
  File "D:/Data_Rabbit/code/myself/DL/Perceptron.py", line 19
def train(self,labels,iteration,rate,input_vecs):
   ^
SyntaxError: invalid syntax

找了半天，实在看不出来哪里错了，恳请大家指点一下！

下面是全部代码：
from functools import reduce
import numpy as np

class Perceptron(object):
def __init__(self,input_num,activator):
      self.input_num=input_num
      self.activator=activator
      self.weights=np.zeros(input_num)
      self.bias=0.0

def __str__(self):
      return('weights:\t%f\nbias:\t%f')%self.weights,self.bias

def predict(self,input_vec):
      return self.activator(
            sum(np.array(self.weights)*np.array(input_vec)+self.bias
            )


def train(self,labels,iteration,rate,input_vecs):
      for i in range(iteration):
         self._one_iteration(input_vecs,labels,rate)

def _one_iteration(self,input_vecs,labels,rate):
      samples=zip(input_vecs,labels)
      for (input_vec,label) in samples:
         self._update_weight(input_vec,label,rate)

def _update_weight(self,input_vec,label,rate):
      output=self.predict(input_vec)
      delta=label-output
      self.weights=self.weights+rate*delta*input_vec
      self.weights=lambda w,x: w+rate*delta*x,zip(
            self.weights,input_vec
            )
      self.bias+=rate*delta

def f(x):
if x>0:
      return (1)
else:
      return (0)
p=Perceptron(2,f)
input_vecs=np.array([[0,0],[0,1],[1,0],[1,1]])
labels=[0,0,0,1]
p.train(labels,10,0.1,input_vecs)

print(p.weights)
print(p.predict([0,0]))
print(p.predict([0,1]))
print(p.predict([1,0]))
print(p.predict([1,1]))

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