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DOC Fix broken ref #30407

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Dec 4, 2024
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DOC Fix broken ref #30407

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4 changes: 2 additions & 2 deletions sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
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Expand Up @@ -1579,7 +1579,7 @@ class HistGradientBoostingRegressor(RegressorMixin, BaseHistGradientBoosting):
scoring : str or callable or None, default='loss'
Scoring parameter to use for early stopping. It can be a single
string (see :ref:`scoring_parameter`) or a callable (see
:ref:`scoring`). If None, the estimator's default scorer is used. If
:ref:`scoring_callable`). If None, the estimator's default scorer is used. If
``scoring='loss'``, early stopping is checked w.r.t the loss value.
Only used if early stopping is performed.
validation_fraction : int or float or None, default=0.1
Expand Down Expand Up @@ -1961,7 +1961,7 @@ class HistGradientBoostingClassifier(ClassifierMixin, BaseHistGradientBoosting):
scoring : str or callable or None, default='loss'
Scoring parameter to use for early stopping. It can be a single
string (see :ref:`scoring_parameter`) or a callable (see
:ref:`scoring`). If None, the estimator's default scorer
:ref:`scoring_callable`). If None, the estimator's default scorer
is used. If ``scoring='loss'``, early stopping is checked
w.r.t the loss value. Only used if early stopping is performed.
validation_fraction : int or float or None, default=0.1
Expand Down
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