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[python][sklearn] use __sklearn_is_fitted__() in all estimator fitness checks #4654

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merged 1 commit into from
Oct 9, 2021

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Refer to the discussion in #4636 (comment).

@jameslamb Seems that we cannot use __sklearn_is_fitted__() here

if not getattr(self, "fitted_", False):

because _DaskLGBMModel is not inherited from LGBMModel where __sklearn_is_fitted__() is defined
class _DaskLGBMModel:

class LGBMModel(_LGBMModelBase):

I think we can address this during working on #3845.

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because _DaskLGBMModel is not inherited from LGBMModel where __sklearn_is_fitted__() is defined

ahhhhhhh ok that makes sense to me! I found that line in dask.py with git grep 'fitted_', didn't even stop to think about where in the method resolution order it was being used.

@StrikerRUS StrikerRUS merged commit f3987f3 into master Oct 9, 2021
@StrikerRUS StrikerRUS deleted the sk_is_fitted_checks branch October 9, 2021 22:12
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This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this.

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3 participants