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DOC Fix some typos in doc of RandomizedSearchCV and GridSearchCV #30341

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Nov 25, 2024
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DOC Fix some typos in doc of RandomizedSearchCV and GridSearchCV #30341

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6 changes: 3 additions & 3 deletions sklearn/model_selection/_search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1254,7 +1254,7 @@ class GridSearchCV(BaseSearchCV):
- a list or tuple of unique strings;
- a callable returning a dictionary where the keys are the metric
names and the values are the metric scores;
- a dictionary with metric names as keys and callables a values.
- a dictionary with metric names as keys and callables as values.

See :ref:`multimetric_grid_search` for an example.

Expand Down Expand Up @@ -1630,7 +1630,7 @@ class RandomizedSearchCV(BaseSearchCV):
- a list or tuple of unique strings;
- a callable returning a dictionary where the keys are the metric
names and the values are the metric scores;
- a dictionary with metric names as keys and callables a values.
- a dictionary with metric names as keys and callables as values.

See :ref:`multimetric_grid_search` for an example.

Expand All @@ -1655,7 +1655,7 @@ class RandomizedSearchCV(BaseSearchCV):

Where there are considerations other than maximum score in
choosing a best estimator, ``refit`` can be set to a function which
returns the selected ``best_index_`` given the ``cv_results``. In that
returns the selected ``best_index_`` given the ``cv_results_``. In that
case, the ``best_estimator_`` and ``best_params_`` will be set
according to the returned ``best_index_`` while the ``best_score_``
attribute will not be available.
Expand Down
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