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Allow NaN values in unsupervised random forest
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Reference Issues/PRs
What does this implement/fix? Explain your changes.
Changed fit function in _unsupervised_forest.py to add ensure_all_finite = "allow-nan" parameter to ensure NaN values are always allowed.
Any other comments?
Hi @weioren note this will not enable splitting on missing values, as the core logic within Cython needs to get implemented.