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
Fixed PEP8 in train_extensions/best_params.py and train_extensions/window_flip.py.
Modified run_deep_trainer.py
Sigmoid's "classification" monitor style had two behaviors; deprecate
that string and make two separate strings for each behavior

note about binary classification
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 cost.py from whitelist
Merge pull request #1203 from kelvinxu/master

changed cost.py to conform to pep8
Merge pull request #1204 from goodfeli/sigmoid

Fix changed behavior
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.