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
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
Fixed #2071: Moving test_record.py from Pylearn2 to Theano.
Merge branch 'master' of git://github.com/lisa-lab/pylearn2
Merge pull request #1198 from julianser/master

Fixed #2071: Moving test_record.py from Pylearn2 to Theano.
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.