本文整理汇总了Python中neuron.Neuron.__str__方法的典型用法代码示例。如果您正苦于以下问题：Python Neuron.__str__方法的具体用法？Python Neuron.__str__怎么用？Python Neuron.__str__使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类neuron.Neuron的用法示例。
在下文中一共展示了Neuron.__str__方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Perceptron
# 需要导入模块: from neuron import Neuron [as 别名]
# 或者: from neuron.Neuron import __str__ [as 别名]
class Perceptron(object):
def __init__(self, input_size, lrn_rate=1):
"""'input_size' is the length of the input.
'lrn_rate' is the learning rate.
"""
self.neuron = Neuron([0]*input_size, 0, signal)
self.lrn_rate = lrn_rate
self.fire = self.neuron.fire
def training(self, examples):
epochs = 0
while True:
epochs = epochs + 1
error_count = 0
for (input_vector, desired_output) in examples:
actual_output = self.neuron.fire(input_vector)
error = desired_output - actual_output
if error != 0:
learned = self.lrn_rate*error
self.neuron.update(input_vector, learned)
error_count = error_count + 1
if error_count == 0:
break
return epochs
def __str__(self):
ret = 'lrn_rate: %s' % self.lrn_rate
ret = '%s\n%s' % (ret, self.neuron.__str__())
return ret示例2: Perceptron
# 需要导入模块: from neuron import Neuron [as 别名]
# 或者: from neuron.Neuron import __str__ [as 别名]
class Perceptron(object):
"""Online learning Perceptron.
"""
def __init__(self, input_size, lrn_rate=1, activation=signal):
"""'input_size' is the length of the input.
'lrn_rate' is the learning rate.
"""
self.neuron = Neuron([0]*input_size, 0, activation)
self.lrn_rate = lrn_rate
self.fire = self.neuron.fire
def training(self, inputs_vector, outputs, max_epochs):
"""Not checking if inputs_vector and outputs have the same size.
"""
epochs = 0
while True:
epochs = epochs + 1
error_count = 0
for (inputs, output) in zip(inputs_vector, outputs):
actual_output = self.fire(inputs)
error = output - actual_output
if error != 0:
learned = self.lrn_rate*error
self.neuron.update(inputs, learned)
error_count = error_count + 1
if error_count == 0:
break
elif max_epochs and (epochs > max_epochs):
return False
return epochs
def __str__(self):
ret = 'lrn_rate: %s' % self.lrn_rate
ret = '%s\n%s' % (ret, self.neuron.__str__())
return ret