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DOC Fixed typos in documentation #19511

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Merged
merged 4 commits into from
Feb 20, 2021
Merged

DOC Fixed typos in documentation #19511

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b47b264
Fixed a typo in the documentation
Ashish013 Feb 20, 2021
d397471
Fixed a typo
Ashish013 Feb 20, 2021
aff995e
Fixed another typo
Ashish013 Feb 20, 2021
3b338c2
Fixed a typo
Ashish013 Feb 20, 2021
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2 changes: 1 addition & 1 deletion sklearn/inspection/_permutation_importance.py
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Expand Up @@ -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
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4 changes: 2 additions & 2 deletions sklearn/model_selection/_search.py
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Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand Down
2 changes: 1 addition & 1 deletion sklearn/model_selection/_validation.py
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Expand Up @@ -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
Expand Down