added sparse hack for glm.
Added all 1-5 bedrooms rent data
Updated the way percentiles are computed. Now constant columns will get percentiles (with all the values being the constant value).
Merge branch 'glm_sparse_update' of github.com:0xdata/h2o into glm_sparse_update
minor code cleanup of the sparse glm update.
Sparse glm update bug fix. There was an NPE bug in case of non-gaussian family and gram getting NaNs/Imfs in the second iteration.
Parse glm update. Fixed bug when there is only one categorical column with 2 levels.
Sparse glm update. Had cholesky being solved in place, overwriting the gram, however, we need to keep the gram intact in case of non-spd matrix (in which case we add L2-regularization and try again).

Changed it to create a clone of the gram and perform in-place cholesky on the clone.
Just added few comments to sparse glm.
tiny bug fix. added missing call to cholesky in DLSM in case of non-SPD matrix and bumping up rho.
Update of the cholesky re-try with larger rho mechanism.
Merge branch 'master' into glm_sparse_update

Conflicts:
	src/main/java/hex/Summary.java
Merge branch 'master' into glm_sparse_update
fixed Gram.hasNaNsOrInfs in sparse_glm update.
Merge branch 'master' into glm_sparse_update