remove one_hot, first try
All suggestions done except the new test file for target_format.
Modified all super() parameters, and write a new test for target_format
test_one_hot removed
Delete test_one_hot.py
Delete one_hot.py
Refreshed everything but Bart's suggestion on run_deep_trainer.py
Modified run_deep_trainer.py
refined tests for OneHotFormatter and csv_dataset.py
Merge branch 'master' of https://github.com/hantek/pylearn2 into one_hot
modified according to PEP8 format in test_target_format.py
removed one_hot in *.ipynb files, and in zca_dataset.py
Add AdaGrad to learning_rule

Implements the AdaGrad learning rule as described in: "Adaptive subgradient methods for online learning and stochastic optimization", Duchi J, Hazan E, Singer Y.
Removed `add_channels_to_monitor`  for AdaGrad and AdaDelta
Merge pull request #1185 from hantek/one_hot

Remove one_hot parameter from Datasets. Closes #1120.
Merge pull request #1200 from yelite/adagrad

Add AdaGrad to learning_rule