dataset reader for wmt14

Start doing v2 documentation

example usage:

import paddle.v2 as paddle

if __name__ == '__main__':
    dict_en, dict_fr =	paddle.dataset.wmt14.build_dict()
    train = paddle.dataset.wmt14.train(dict_en, dict_fr)
    test = paddle.dataset.wmt14.test(dict_en, dict_fr)

    total_train = 0
    for i in train():
        total_train += 1

    total_test = 0
    for i in test():
        total_test += 1

    print total_train, total_test

Rename Argument::sumCost to Argument::cost since Argument should not …

remove inferencer and Inference from __All__, since infer is sufficen…

expose build_dict in imikolov dataset, fix bug that len(word_dict) is…

remove ITrainer interface since parameters for train is already getti…

change argument name of data_type.integer_value/integer_value_sequenc…

remove inferencer and Inference from __All__, since infer is sufficent, they are implementation detail.

rename inferencer.py to inference.py

cost is Argument, but argument does not have to be cost.

Use the sequence_conv_pool define inside the networks.py

Redirect code coverage output into /dev/null

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Disable test_ProtoServer on Travis CI

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fix merge conflict

add sentiment data package

I use pre-commit check all file and report is the passed.
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