Hierarchical classification introduced. Quality measurement is not working, so method is useless.
Inner datasets targets were changed: removed {0..k}, remained {label1, ..., labelK}
losses introduced: precision, recall, f1score
Cleanup in ML algorithms inside commons, changed logic in PGMEM
Merge branch 'HierMultiClass'
New prior based on imperical route length distribution. Works much better then the Laplacian
(cherry picked from commit fa4ee32)