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[ENH] Add "extratrees" (i.e. randomized trees) for oblique trees #46
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This is complementary to binning #25 |
Someone would basically have to look at the oblique splitter code (this implements "best oblique splitter") currently in scikit-tree, and then the random splitter code in scikit-learn and add a corresponding set of Cython code that implements "oblique random splitter" |
Am I totally off-base in thinking I need to implement an |
I would initially guess implement a subclass of |
from
can you please explain what this is doing? esp. |
The |
Closed by #75 |
Add random splitter for oblique trees into the codebase to allow "ExtraObliqueTreesClassifier".
This will improve runtime and also act as an analogous improvement to the oblique trees similar to how
extratreesclassifier
generalizesdecisiontreeClassifier
in scikit-learnxref: https://link.springer.com/article/10.1007/s10994-006-6226-1
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