From 8728e7a308163e86ee5b68df6cdd0edb5212f240 Mon Sep 17 00:00:00 2001 From: arisayosh Date: Sat, 23 Oct 2021 08:15:19 -0700 Subject: [PATCH] fix numpydoc validation error in sklearn.metrics._regression.max_error --- maint_tools/test_docstrings.py | 1 - sklearn/metrics/_regression.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py index a658f13ac8912..2e4dc96cd8450 100644 --- a/maint_tools/test_docstrings.py +++ b/maint_tools/test_docstrings.py @@ -131,7 +131,6 @@ "sklearn.metrics._ranking.roc_auc_score", "sklearn.metrics._ranking.roc_curve", "sklearn.metrics._ranking.top_k_accuracy_score", - "sklearn.metrics._regression.max_error", "sklearn.metrics._regression.mean_absolute_error", "sklearn.metrics._regression.mean_pinball_loss", "sklearn.metrics._scorer.make_scorer", diff --git a/sklearn/metrics/_regression.py b/sklearn/metrics/_regression.py index dd4c4c52f55fd..0c0c15f33280d 100644 --- a/sklearn/metrics/_regression.py +++ b/sklearn/metrics/_regression.py @@ -822,7 +822,7 @@ def r2_score(y_true, y_pred, *, sample_weight=None, multioutput="uniform_average def max_error(y_true, y_pred): """ - max_error metric calculates the maximum residual error. + The max_error metric calculates the maximum residual error. Read more in the :ref:`User Guide `.