dataset to show that y=class producing same confusion matrix
test for diff classes in RandomForest called from R
fix for model_key collision when called from R
Change build_cloud completion check. Used to wait for cloud_size=expected size plus consensus, from all nodes.
Now wait for that from one node, and check that all nodes agree. Fail if any node disagrees after the first node says cloud_size is expected plus consensus.

I ran some large count local multi-jvm and this seemed okay. If you see a message about cloud size being wrong, then this relaxed rule may not be sufficient.
Merge branch 'master' of github.com:0xdata/h2o
rolling it back to the old build_cloud completion algo. had a test.py fail
(have a if 1==1: case to be able to switch back and forth to old/new)
don't specify a default model_key. let h2o name one.
test for unique rf model_key names
make it 1 jvm
don't need to import argparse
seeing some hangs with store view after import?
fixed
fix the internal test name
allow a larger delta in the mean comparison
test cloud building with completion = one node says desired size plus consensus=True
conservative=True default to build_cloud
adding GLM mnist + score, from s3n
Cleanup DTrees some more

Split tree nodes into decided & undecided.  Cleanup the API a bunch.
Merge branch 'master' of https://github.com/0xdata/h2o
GLM mnist on local machines