本文整理汇总了Python中pybrain.structure.FeedForwardNetwork.__str__方法的典型用法代码示例。如果您正苦于以下问题：Python FeedForwardNetwork.__str__方法的具体用法？Python FeedForwardNetwork.__str__怎么用？Python FeedForwardNetwork.__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pybrain.structure.FeedForwardNetwork的用法示例。
在下文中一共展示了FeedForwardNetwork.__str__方法的1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: FeedForwardNetwork
# 需要导入模块: from pybrain.structure import FeedForwardNetwork [as 别名]
# 或者: from pybrain.structure.FeedForwardNetwork import __str__ [as 别名]
# Build the network
network = FeedForwardNetwork()
in_layer = LinearLayer(input_num, name="input_layer")
hidden_layer = LinearLayer(2 * input_num + 1, name="hidden_layer")
out_layer = LinearLayer(1, "output_layer")
network.addInputModule(in_layer)
network.addModule(hidden_layer)
network.addOutputModule(out_layer)
in_to_hidden = FullConnection(in_layer, hidden_layer)
hidden_to_out = FullConnection(hidden_layer, out_layer)
network.addConnection(in_to_hidden)
network.addConnection(hidden_to_out)
network.sortModules()
print "A new neural network: " + network.__str__()
# getting some necessary parameters
print "getting the linecount and the max value"
csvreader = csv.reader(file(data_file_path))
for row in csvreader:
num_lines += 1
max_value = max(max_value, float(row[1]))
max_value *= 1.2
training_lines = (num_lines / 10) * 7
print "Training the network with ", str(training_lines), " prices"
print "Max value: ", str(max_value)