8000 IsolationForest with categorical attributes · Issue #11927 · scikit-learn/scikit-learn · GitHub
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IsolationForest with categorical attributes #11927

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ywc1026 opened this issue Aug 28, 2018 · 3 comments
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IsolationForest with categorical attributes #11927

ywc1026 opened this issue Aug 28, 2018 · 3 comments

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@ywc1026
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ywc1026 commented Aug 28, 2018

IsolationForest is implemented with a bagging of ExtraTreeRegressor and the author of extrmely randomized trees propose a way to generate random (binary) splits by selecting a random subset of
their possible values.
Can IsolationForest handle with categorical attributes in sklearn？

Ref.
https://orbi.uliege.be/bitstream/2268/9357/1/geurts-mlj-advance.pdf
@jnothman
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Poor support for categorical variables is a long-known limitation of our tree implementation, with a potential fix (long awaiting review) at #4899.

I'm closing this as a duplicate of #5212 and others (#9968, #11258, ...).

@ywc1026
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ywc1026 commented Aug 29, 2018

Thank you :)

@jnothman
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You can thank me when I review that pull request 🤯

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