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First reported by @sampan501
We then added the following LOC, which we can probably extend further to the "power" setting, where we actually estimate the power and see if the performance still differs: https://github.com/neurodata/scikit-tree/blob/9c84d6ff51996d2d151c92d14e68b4af70e5ea52/sktree/tests/test_honest_forest.py#L261-L335
Note, we have adapted the code a bit, and how the random_state is set in HonesTreeClassifier
random_state
HonesTreeClassifier
The text was updated successfully, but these errors were encountered:
Cross-ref: #164
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First reported by @sampan501
We then added the following LOC, which we can probably extend further to the "power" setting, where we actually estimate the power and see if the performance still differs: https://github.com/neurodata/scikit-tree/blob/9c84d6ff51996d2d151c92d14e68b4af70e5ea52/sktree/tests/test_honest_forest.py#L261-L335
Note, we have adapted the code a bit, and how the
random_state
is set inHonesTreeClassifier
The text was updated successfully, but these errors were encountered: