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DOC ADD Link PrecisionRecallDisplay to both visualization and evaluat… #31308

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DOC ADD Link PrecisionRecallDisplay to both visualization and evaluat…
AchrafTasfaout May 5, 2025
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DOC ADD Link from_estimator to both visualization and evaluation guid…
AchrafTasfaout May 5, 2025
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DOC ADD Link from_predictions to both visualization and evaluation gu…
AchrafTasfaout May 5, 2025
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15 changes: 14 additions & 1 deletion sklearn/metrics/_plot/precision_recall_curve.py
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Expand Up @@ -20,7 +20,10 @@ class PrecisionRecallDisplay(_BinaryClassifierCurveDisplayMixin):
a :class:`~sklearn.metrics.PrecisionRecallDisplay`. All parameters are
stored as attributes.

Read more in the :ref:`User Guide <visualizations>`.
For general information regarding `scikit-learn` visualization tools, see
the :ref:`Visualization Guide <visualizations>`.
For guidance on interpreting these plots, refer to the :ref:`Model
Evaluation Guide <precision_recall_f_measure_metrics>`.

Parameters
----------
Expand Down Expand Up @@ -276,6 +279,11 @@ def from_estimator(
):
"""Plot precision-recall curve given an estimator and some data.

For general information regarding `scikit-learn` visualization tools, see
the :ref:`Visualization Guide <visualizations>`.
For guidance on interpreting these plots, refer to the :ref:`Model
Evaluation Guide <precision_recall_f_measure_metrics>`.

Parameters
----------
estimator : estimator instance
Expand Down Expand Up @@ -416,6 +424,11 @@ def from_predictions(
):
"""Plot precision-recall curve given binary class predictions.

For general information regarding `scikit-learn` visualization tools, see
the :ref:`Visualization Guide <visualizations>`.
For guidance on interpreting these plots, refer to the :ref:`Model
Evaluation Guide <precision_recall_f_measure_metrics>`.

Parameters
----------
y_true : array-like of shape (n_samples,)
Expand Down