Use DenseMatrix for ADADELTA helpers.
Use float for max_w2 and return type of sumSquares(float[]).
Speed up sparse loops.
Re-throw exception.
Turn off variable importances for MNIST benchmark case.
Improve precision for error printout in CM.
Use ADADELTA for MNIST example.
Show the actual training samples per iteration on HTML page.
Seed the sumSquareTest() for reproducibility (avoid spurious errors due to roundoff errors with new float-based algo).
Allow change in whether to shuffle training data after checkpoint restart.
Cleanup rescale_weights function.
Merge branch 'master' of https://github.com/0xdata/h2o