changed model.get_target_source and added initialization option in mlp
implementations of is_stochastic + better NotImplemetned message
Merge pull request #1268 from goodfeli/master

implementations of is_stochastic + better NotImplemented message
Run tests even if IRO is down
Fix syntax error
Small typo ".ipnb" -> ".ipynb"

Just a small typo in a README file.
Merge pull request #1270 from bartvm/download

Run tests even if IRO server is down
Merge pull request #1273 from MarCnu/tutorial-readme

Small typo ".ipnb" -> ".ipynb"
Add a CSV delimiter argument in predict_csv.py

Add --delimiter -D argument to the script to provide the CSV delimiter. It is useful as many CSV files are separated with ";" instead of ",".
Add allow_input_downcast=True

Add allow_input_downcast=True to the script. It is useful as GPU uses float32 and CSV floats are not properly typed and Python assumes float64.
Merge pull request #1249 from JesseLivezey/targetsource

Added optional target_source to MLP
fix autoencoders

* extract AbstractAutoencoder for inheritance
 * resolve Model methods before Block
 * UntiedAutoencoder and DeepcomposedAutoencoder call their superclass constructor
* pep8
 * extract YAML from test_autoencoder.py
Update .travis.sh
Merge pull request #1275 from euphoris/autoencoder

Fix autoencoders
Changed nnet.py to conform pep8
Removed nnet.py from whitelist, fixed #821
Fixed several more issues in nnet.py
Fix travis.sh once and for all
Apparently not
Implicit resolver for scientific notation of floats