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1 change: 0 additions & 1 deletion maint_tools/test_docstrings.py
Original file line number Diff line number Diff line change
Expand Up @@ -128,7 +128,6 @@
"RandomTreesEmbedding",
"RandomizedSearchCV",
"RegressorChain",
"RidgeCV",
"RidgeClassifier",
"RidgeClassifierCV",
"RobustScaler",
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15 changes: 8 additions & 7 deletions sklearn/linear_model/_ridge.py
Original file line number Diff line number Diff line change
Expand Up @@ -1930,6 +1930,7 @@ def fit(self, X, y, sample_weight=None):
Returns
-------
self : object
Fitted estimator.

Notes
-----
Expand Down Expand Up @@ -2024,7 +2025,7 @@ class RidgeCV(MultiOutputMixin, RegressorMixin, _BaseRidgeCV):
``normalize`` was deprecated in version 1.0 and will be removed in
1.2.

scoring : string, callable, default=None
scoring : str, callable, default=None
A string (see model evaluation documentation) or
a scorer callable object / function with signature
``scorer(estimator, X, y)``.
Expand Down Expand Up @@ -2107,6 +2108,12 @@ class RidgeCV(MultiOutputMixin, RegressorMixin, _BaseRidgeCV):

.. versionadded:: 0.24

See Also
--------
Ridge : Ridge regression.
RidgeClassifier : Classifier based on ridge regression on {-1, 1} labels.
RidgeClassifierCV : Ridge classifier with built-in cross validation.

Examples
--------
>>> from sklearn.datasets import load_diabetes
Expand All @@ -2115,12 +2122,6 @@ class RidgeCV(MultiOutputMixin, RegressorMixin, _BaseRidgeCV):
>>> clf = RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1]).fit(X, y)
>>> clf.score(X, y)
0.5166...

See Also
--------
Ridge : Ridge regression.
RidgeClassifier : Ridge classifier.
RidgeClassifierCV : Ridge classifier with built-in cross validation.
"""


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