Add proposition for jobman/pylearn2 interaction.
New proposal: Use an extract_results function

It seems more powerful and flexible than the results_specification dict.
Integrating Jobman with Pylearn2.
Update documentation to reflect code better
Clean-up in experiment.py
Reorganize tester, move result_extractor
Add YAML-friendly dict type, update doc.
Pep8
Use __builder__ to specify object in single dict
Follow the name change of a class
Final fixes to tester.py
Merge pull request #2 from lamblin/jobman_interface

Update doc and example
MNISTPlus dataset: another MNIST-variations like dataset
Merge pull request #82 from dwf/stateful_preprocessors

Add stateful logic to RemoveMean and Standardize.
added checks that mnist is loading the right data
Reverted to 60k/10k train/test split of mnist.
Misc cleanup/PEP8 of the preprocessing module. No functional changes.
PCA preprocessor: PEP8, explicit error messages, make everything soft-private.
PCA preprocessor: Only update the view converter if there was one there to begin with.
added unit test to make sure monitor works right