Created by: yeyupiaoling

`import paddle.v2 as paddle

Initialize PaddlePaddle.

paddle.init(use_gpu=False, trainer_count=1)

Configure the neural network.

x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13)) y_predict = paddle.layer.fc(input=x, size=1, act=paddle.activation.Linear())

with open('fit_a_line.tar', 'r') as f: parameters = paddle.parameters.Parameters.from_tar(f)

Infer using provided test data.

probs = paddle.infer( output_layer=y_predict, parameters=parameters, input=[item for item in paddle.dataset.uci_housing.test()()])

for i in xrange(len(probs)): print 'Predicted price: ${:,.2f}'.format(probs[i][0] * 1000) 我想测试这个程序，但是报错没办法加载数据，在这条代码上input=[item for item in paddle.dataset.uci_housing.test()()])`