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The Returns
section of the docstring for sklearn.datasets.load_iris()
has two options:
- An
sklearn.utils.Bunch
, ifreturn_X_y
isFalse
- A
tuple[ndarray, ndarray]
ifreturn_X_y
isTrue
The type stub for the function is
def load_iris(*, return_X_y: bool = False, as_frame: bool = False) -> tuple[Bunch, tuple]: ...
but I believe it should be:
def load_iris(*, return_X_y: bool = False, as_frame: bool = False) -> Bunch | tuple[ndarray, ndarray]: ...
or at least:
def load_iris(*, return_X_y: bool = False, as_frame: bool = False) -> Bunch | tuple: ...
which might be all we can get with parsing.
This might not be the only case of this in the codebase, but unfortunately I just have enough time to write this ticket. Normally I like to come with a bit more information, sorry about that.
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