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DOC Add references to DetCurveDisplay docstring (#31307)
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sklearn/metrics/_plot/det_curve.py

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@@ -15,7 +15,10 @@ class DetCurveDisplay(_BinaryClassifierCurveDisplayMixin):
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or :func:`~sklearn.metrics.DetCurveDisplay.from_predictions` to create a
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visualizer. All parameters are stored as attributes.
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Read more in the :ref:`User Guide <det_curve>`.
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For general information regarding `scikit-learn` visualization tools, see
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the :ref:`Visualization Guide <visualizations>`.
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For guidance on interpreting these plots, refer to the
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:ref:`Model Evaluation Guide <det_curve>`.
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.. versionadded:: 0.24
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@@ -96,7 +99,10 @@ def from_estimator(
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):
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"""Plot DET curve given an estimator and data.
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Read more in the :ref:`User Guide <det_curve>`.
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For general information regarding `scikit-learn` visualization tools, see
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the :ref:`Visualization Guide <visualizations>`.
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For guidance on interpreting these plots, refer to the
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:ref:`Model Evaluation Guide <det_curve>`.
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.. versionadded:: 1.0
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@@ -207,7 +213,10 @@ def from_predictions(
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):
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"""Plot the DET curve given the true and predicted labels.
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Read more in the :ref:`User Guide <det_curve>`.
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For general information regarding `scikit-learn` visualization tools, see
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the :ref:`Visualization Guide <visualizations>`.
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For guidance on interpreting these plots, refer to the
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:ref:`Model Evaluation Guide <det_curve>`.
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.. versionadded:: 1.0
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