diff --git a/sklearn/inspection/_permutation_importance.py b/sklearn/inspection/_permutation_importance.py index 9f2bdb0916254..2a7b6cd23147b 100644 --- a/sklearn/inspection/_permutation_importance.py +++ b/sklearn/inspection/_permutation_importance.py @@ -115,7 +115,7 @@ def permutation_importance(estimator, X, y, *, scoring=None, n_repeats=5, - a single string (see :ref:`scoring_parameter`); - a callable (see :ref:`scoring`) that returns a single value. - If `scoring` reprents multiple scores, one can use: + If `scoring` represents multiple scores, one can use: - a list or tuple of unique strings; - a callable returning a dictionary where the keys are the metric diff --git a/sklearn/model_selection/_search.py b/sklearn/model_selection/_search.py index e9c498816eae2..abe3b87488d8c 100644 --- a/sklearn/model_selection/_search.py +++ b/sklearn/model_selection/_search.py @@ -1006,7 +1006,7 @@ class GridSearchCV(BaseSearchCV): - a single string (see :ref:`scoring_parameter`); - a callable (see :ref:`scoring`) that returns a single value. - If `scoring` reprents multiple scores, one can use: + If `scoring` represents multiple scores, one can use: - a list or tuple of unique strings; - a callable returning a dictionary where the keys are the metric @@ -1346,7 +1346,7 @@ class RandomizedSearchCV(BaseSearchCV): - a single string (see :ref:`scoring_parameter`); - a callable (see :ref:`scoring`) that returns a single value. - If `scoring` reprents multiple scores, one can use: + If `scoring` represents multiple scores, one can use: - a list or tuple of unique strings; - a callable returning a dictionary where the keys are the metric diff --git a/sklearn/model_selection/_validation.py b/sklearn/model_selection/_validation.py index 8452c4eafbf90..63f9a53fcf91f 100644 --- a/sklearn/model_selection/_validation.py +++ b/sklearn/model_selection/_validation.py @@ -74,7 +74,7 @@ def cross_validate(estimator, X, y=None, *, groups=None, scoring=None, cv=None, - a single string (see :ref:`scoring_parameter`); - a callable (see :ref:`scoring`) that returns a single value. - If `scoring` reprents multiple scores, one can use: + If `scoring` represents multiple scores, one can use: - a list or tuple of unique strings; - a callable returning a dictionary where the keys are the metric