stub for sklearn.datasets.load_iris is missing a return type option

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还没有人认领这个 Issue。

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难度
2/5
预计耗时
1-3 小时
新手友好度
45/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
停滞
技术栈
python
领域
machine-learning

调研方向

Search the sklearn.datasets stubs for the load_iris entry point and compare its return annotation with the linked documentation. Update the annotation to represent the return_X_y alternatives, then run the repository’s stub or type-check validation if available; it is done when both documented return forms are represented.

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描述

The Returns section of the docstring for sklearn.datasets.load_iris() has two options:

  1. An sklearn.utils.Bunch, if return_X_y is False
  2. A tuple[ndarray, ndarray] if return_X_y is True

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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