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Update variance estimation methods for RF learners #1784
yup you're right, all three methods would make sense.
But I just needed one for now to test some stuff for MBO. But in general it would make sense if the se estimations for random forest would work for all supported RFs, but thats more work.
So the short answer is I was too lazy to copy all three methods... And this is mostly a PR so that the code/branch does not get lost
@berndbischl We should merge and be okay with this double code because calculating the SE for bagged learners in general would be a seperate issue. This should not hold back such important progress for the usage of ranger.
pr-work in progress - not done
Jun 26, 2017
ranger now uses only its own se methods (jacknife and infjacknife (default)).
From my side this should be mergable if no errors occur (already checked locally)