Adding better argument checking in the Baum Welch learning algorithms.
Fixing failing tests.
Adding a split step option to accelerate C4.5 (though this is not an ideal solution - most likely the algorithm could avoid the several copies and recursive calls).
Updating descriptive analysis to support also quantile computation.
Adding an apply in place variant to the normalization filter;
Workaround for ChiSquare test when expected frequency is zero.
Merge remote-tracking branch 'upstream/development' into development