用下面的代码在网络中总是等于: tf = open('defl_07h.csv','r')
for line in tf.readlines():
data = [float(x) for x in line.strip().split(';') if x != '']
indata = tuple(data[:1])
outdata = tuple(data[1
我试图预测给定的一组商品的销售价格。我在pybrain中使用了RecurrentNetwork和BackpropTrainer。这是我的代码, def nnet(train, target, valid):
ds = SupervisedDataSet(52-len(NU)+5, 1)
for i in range(len(train)):
ds.appendL