Theofilos Strinopoulos theofilos13@... writes:
Hi everyone,
I would like to write code for conditional inference trees. Conditional
inference trees use a significance criterion to split as opposed to an
information criterion, see for example:http://statmath.wu-
I am only a user of the library but I would be happy to have the
conditional inference tree in sklearn.
I can not open your link but I guess that you are referring to the
conditional trees used to build the forest in this paper
http://www.biomedcentral.com/1471-2105/8/25
They should be the same
Hi Daniel
Sorry for the late reply. I think that Conditional trees would be a good
addition. However, coincidentally, the tree module is currently undergoing
another rewrite: https://github.com/scikit-learn/scikit-learn/pull/5041
As for feature selection, I have difficulty giving advice given
Hi everyone,
I would like to write code for conditional inference trees. Conditional
inference trees use a significance criterion to split as opposed to an
information criterion, see for example:
http://statmath.wu-wien.ac.at/~zeileis/papers/Hothorn+Hornik+Zeileis-2006.pdf
Hi Theofilos,
That would be great! I think it could easily be done by adding new
Criterion classes into the _tree.pyx file.
Note however that we are currently refactoring the core tree module.
It may be best to wait for it to merged for you to start coding -
otherwise you may end up with lots of
