finer grained averaging
ende hyperparameter fitting part moved out
better structured version are being made
en2 is the most successful one
forest of balanced adjust counting
median is used; tree size got bigger
tree level multiprocessing
good copy of conditioned ac
ra does not seem to be bad
init
running lots of experiments with randomized adjusted counting
backup from office
quite well running example; but slow; em2 is the main focus
en2 seems to work great
unsuccessful linear version
linear regression is used in en4
working on gradual adjusted counting
drafted
ra3 is the best one; starting to work on an application
working on maximum likelihood threshold