Slight parallelism hack on setting on OOBEE samples
Massive parallelism hack, not sure it works

Run tree-building in parallel for all classes
Some alternative testing samples
Minor tweaks in hot path

data fetch still dominated by the vcall to decompress
emacs javadoc shortcut
small MemManager fix

arrayCopyOfRange not counting bytes for blocking right.  Also implement
a cheap counter for algorithmic memory usage tracking.
Fix covtype depth 50 golden answers
add a slew of mem usage tracking

Not intended for prime-time, just a temp debugging printout
Start of a new low-mem shared histogram

Pay no attention to the Atomics behind the curtain.
Mid everthing; doesnt even compile
Somewhat functioning DRF w/shared histo's

Memory consumption on covtype is down 1/2 overall, speed is down, has
accuracy bugs (should be bit-for-bit identical to master, so something's
still wrong), still has several known issues.
Somewhat function DRF; 1/2 the memory, twice as fast

Slightly less predictive power on covtype over master, still tracking
that bug
Bug fixes for distributed

Switch from AtomicXXXArray classes to bare arrays (which can be
serialized freely) and static utilities for doing atomic updates.  Turn
back on distributed reduce.  Remove memory logging.  Runs distributed
now.  Runs DRF junit tests (not yet the python tests) with minor changes
in results
Niggling accuracy bug

not quite having the == test right
more comments on the math.
Oddly - more binning is lowering covtype accuracy for few trees.  Not
sure what gives there.  Appears to asymptotically converge tho.
Plug GBM into the new structure

Also trim trailing blanks, clean up comments.
Merge branch 'master' into cliffc-drf
Boolean optimization for GBM

build only 1 tree instead of 2 for 2-way GBM classification
DOES NOT COMPILE - got "issues" i'll fix in the morning
Fix Model synopsis response col

If response had to be converted to an Enum, then it's name was not
getting printed out.
More optimizations

DRF drop CollectPreds pass; predictions available from prior pass in the
histograms; pass preds thru the Split object.  Merge 2 passes.
GBM on 2 classes only builds 1 tree now.
Throttle scoring during building for fast-building but slow-scoring
models.
Lots of debug prints left in code
Increased maximul size of left sub-tree skip flag.