Created by: chrisxu2016

@lcy-seso huber_cost is used error ,connect to issue #10

##example

import paddle.v2 as paddle import paddle.v2.dataset.uci_housing as uci_housing

def main(): # init paddle.init(use_gpu=False, trainer_count=1)

# network config
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())

y = paddle.layer.data(
    name='y',
    type=paddle.data_type.dense_vector(1))

cost = paddle.layer.huber_cost(input=y_predict, label=y)

# create parameters
parameters = paddle.parameters.create(cost)

# create optimizer
optimizer = paddle.optimizer.Momentum(momentum=0)

trainer = paddle.trainer.SGD(
    cost=cost, parameters=parameters, update_equation=optimizer)

feeding = {'x': 0, 'y': 1}

# event_handler to print training and testing info
def event_handler(event):
    if isinstance(event, paddle.event.EndIteration):
        if event.batch_id % 100 == 0:
            print "Pass %d, Batch %d, Cost %f" % (
                event.pass_id, event.batch_id, event.cost)

    if isinstance(event, paddle.event.EndPass):
        result = trainer.test(
            reader=paddle.batch(uci_housing.test(), batch_size=2),
            feeding=feeding)
        print "Test %d, Cost %f" % (event.pass_id, result.cost)

# training
trainer.train(
    reader=paddle.batch(
        paddle.reader.shuffle(uci_housing.train(), buf_size=500),
        batch_size=2),
    feeding=feeding,
    event_handler=event_handler,
    num_passes=30)

if name == 'main': main()

Failuer infomation