the vector of each class is given on alphabetical order (therefor should now be identical per dataset) (a workaround for old trainings is available too)
implemented make_dataset which enables swift un/balanced creation of a train and test set for multi tax-ranks, with and without missing clades
getting the classes and the weights is now much much faster
merged your and my changes
my Important changes: