doc for `sklearn.utils.all_estimators` says it doesn't return meta estimators but it actually does

Describe the issue linked to the documentation

The doc for sklearn.utils.all_estimators says:

By default meta_estimators such as GridSearchCV are also not included.

but, looks like it actually does.

import sklearn


print("sklearn version:", sklearn.__version__)

for a, b in sklearn.utils.all_estimators():

    if "grid" in a.lower():
        print(a, b)

output:

sklearn version: 0.23.2
GridSearchCV <class 'sklearn.model_selection._search.GridSearchCV'>

Suggest a potential alternative/fix

[glemaitre]

@glemaitre Thanks. This sentecne: By default meta_estimators such as GridSearchCV are also not included. is not necessary?

Exactly because meta-estimator are just a subgroup of estimators in scikit-learn

[harupy]

@glemaitre Thanks. This sentecne: By default meta_estimators such as GridSearchCV are also not included is not necessary?