Now have working sparse with DenseColMatrix and SparseVector (ATTENTION: sparse handling is hardcoded!).
Make test not throw execptiopn

Expected to catch throw exception
More test-throw cleanup

DRF does not print stack traces, since tests force them & expect them
Merge branch 'master' of github.com:0xdata/h2o
Add NPE checks.
Cleanup Sparse backprop call.
Merge branch 'master' into arno-deeplearning2

Conflicts:
	src/main/java/hex/deeplearning/DeepLearningModel.java
	src/main/java/hex/deeplearning/DeepLearningTask.java
don't use 100
Merge branch 'master' of github.com:0xdata/h2o
smaller MAX_QBINS to force more iterations
some boundary conditions: all na, single values, etc
add quantilespage request also for these cases
parsing with h2o standalone to cdh5, got java.lang.NoClassDefFoundError: org/apache/commons/io/IOUtils.. apparently IOUtils is in two places in cdh5/hadoop? adding jar (thanks michal)
small dataset that forces iterations (3) even with 1000 bins
fix quantiles on column of all NA (or empty). start removing some cases of unnecessary arrays (where only [0] is used)
Better weaver error message
Compute variable importances during scoring, and report on JSON.
fine tune test with some combined exec stuff..add ability to avoid ifelse/ternary with some globals
Column assignment stack-pop bug

PUB-290
column-constant assignment was off-by-1 on stack from column-column
assignment. Assigning factor columns also missed up the master-vec ref
count
Merge branch 'master' of github.com:0xdata/h2o