parallelized search for data aliases
more precision printing w values in decision tree debugging
allow some space for numerical errors in worst Z score for stump split
fixed hardcoded 1.0 (not Z::worst) in REAL feature training
allow perfect separation of data in decision tree
sped up alias detection code
don't use safe float comparison for values as NaNs are filtered