r.learn.ml crossvalidation fails if category map class codes increase more then +1

[maitl]

Crossvalidation fails if class ID values in category maps do not increase strictly by +1 i.e 1, 2, 3, 4, 5, 6 ... .

E.g. a cass code list 10, 11, 12, 13, 25, 26 is not handled properly.

The bug is here:

if mode == 'classification' and cv > np.histogram(

y, bins=len(np.unique(y)))[0].min():

The solution is to use

if mode == 'classification' and cv > np.histogram(

y, bins=np.unique(y))[0].min():

[maitl]

r.learn.ml with bugfix example

[spawley]

Thanks for reporting this and providing the bug fix. This has been updated in the Add-Ons in #71358 and I'm closing the ticket.

Steve