Change default number of training samples per iteration to -1 (all available data) -> faster.
Add logging output for ignored parameters.
fix the compare to avoid trying to remove DRF and __Tree__ keys
Merge branch 'master' of github.com:0xdata/h2o
Merge branch 'master' of github.com:0xdata/h2o
update newuser top
Merge branch 'master' of https://github.com/0xdata/h2o
change System.err.println()  to Log.err() so python tests will find the message
update tocs
tweaking ports used/cloud names
Merge branch 'master' of github.com:0xdata/h2o
Update DeepLearning parameter list and update parameters for DeepLearning MNIST case.
Merge branch 'master' of https://github.com/0xdata/h2o
Clean up API: ComputeStats() only during Scoring, not during toString().
Use all training data on each node for MNIST python test.
Add JavaDocs for DeepLearning input parameters, and clean up Sphinx docs.
Added inflate impl to C8Chunk.
Merge branch 'master' of github.com:0xdata/h2o
updated GLM tutorial
Merge branch 'master' of https://github.com/0xdata/h2o
GLM2: Updated progress and fixed issue with job not being ended iff failed to converge (got NaNs/Infs in beta)