Relax comparison to make test pass in float32
Merge pull request #365 from lamblin/fix_float32

Relax comparison to make test pass in float32
Put back "supervised" argument to MethodCost

Print a warning if used.
Change signature of MLP.cost_from_X to be used in MethodCost
Remove deprecated parameter 'supervised' from MethodCost in tutorial
Smaller version of the yaml source in convolution_network.ipynb for test
Skip test if dataset is not there
More information in error message
Fix to TorontoSparsity.get_gradients
Do not require transformer block to have data_specs when space_preserving
Merge pull request #366 from lamblin/fix_conv_tutorial

Fix convolution net tutorial
Add dbm_metrics.py script where the AIS method will be stored
Make the script recuperate the correct method
Lots of changes
Fix some bugs
Fix bug making the script crash
Documentation and formatting, plus add a way to choose which dataset to use
Remove line used for debugging purpose
Set default pos_mf_steps to 5 when calling script
Add unit test for dbm_metrics.py