From 9ef5963591bcd674d91754a7611adf8cc48815f6 Mon Sep 17 00:00:00 2001
From: Lucy Liu <jliu176@gmail.com>
Date: Fri, 10 Nov 2023 17:31:38 +1100
Subject: [PATCH 1/2] dep pos_label None

---
 sklearn/metrics/_classification.py | 33 +++++++++++++++++++++++++++++-
 1 file changed, 32 insertions(+), 1 deletion(-)

diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
index 1e18c0b3617bb..05e12eb4e3447 100644
--- a/sklearn/metrics/_classification.py
+++ b/sklearn/metrics/_classification.py
@@ -770,6 +770,10 @@ def jaccard_score(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'micro', 'macro', 'samples', 'weighted', \
             'binary'} or None, default='binary'
         If ``None``, the scores for each class are returned. Otherwise, this
@@ -1155,6 +1159,10 @@ def f1_score(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'micro', 'macro', 'samples', 'weighted', 'binary'} or None, \
             default='binary'
         This parameter is required for multiclass/multilabel targets.
@@ -1349,6 +1357,10 @@ def fbeta_score(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'micro', 'macro', 'samples', 'weighted', 'binary'} or None, \
             default='binary'
         This parameter is required for multiclass/multilabel targets.
@@ -1546,7 +1558,13 @@ def _check_set_wise_labels(y_true, y_pred, average, labels, pos_label):
                 "Target is %s but average='binary'. Please "
                 "choose another average setting, one of %r." % (y_type, average_options)
             )
-    elif pos_label not in (None, 1):
+    elif pos_label is None:
+        warnings.warn(
+            "The None option for 'pos_label' was deprecated in version 1.4 "
+            "and will be removed in 1.6. To keep past behavior, leave 'pos_label' "
+            " as default value.", FutureWarning
+        )
+    elif pos_label != 1:
         warnings.warn(
             "Note that pos_label (set to %r) is ignored when "
             "average != 'binary' (got %r). You may use "
@@ -1554,6 +1572,7 @@ def _check_set_wise_labels(y_true, y_pred, average, labels, pos_label):
             % (pos_label, average),
             UserWarning,
         )
+
     return labels
 
 
@@ -1646,6 +1665,10 @@ def precision_recall_fscore_support(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'binary', 'micro', 'macro', 'samples', 'weighted'}, \
             default=None
         If ``None``, the metrics for each class are returned. Otherwise, this
@@ -2076,6 +2099,10 @@ def precision_score(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'micro', 'macro', 'samples', 'weighted', 'binary'} or None, \
             default='binary'
         This parameter is required for multiclass/multilabel targets.
@@ -2254,6 +2281,10 @@ def recall_score(
         For multiclass or multilabel targets, set `labels=[pos_label]` and
         `average != 'binary'` to report metrics for one label only.
 
+        .. versionchanged:: 1.4
+            Deprecated `None` as an option, since v0.18 `pos_label` is ignored
+            when `average` is not 'binary'.
+
     average : {'micro', 'macro', 'samples', 'weighted', 'binary'} or None, \
             default='binary'
         This parameter is required for multiclass/multilabel targets.

From 9eb2620eb84a056651e2d50db98229175e49e6c9 Mon Sep 17 00:00:00 2001
From: Lucy Liu <jliu176@gmail.com>
Date: Fri, 10 Nov 2023 17:41:10 +1100
Subject: [PATCH 2/2] black

---
 sklearn/metrics/_classification.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
index 05e12eb4e3447..f7dd40a25ac24 100644
--- a/sklearn/metrics/_classification.py
+++ b/sklearn/metrics/_classification.py
@@ -1560,9 +1560,12 @@ def _check_set_wise_labels(y_true, y_pred, average, labels, pos_label):
             )
     elif pos_label is None:
         warnings.warn(
-            "The None option for 'pos_label' was deprecated in version 1.4 "
-            "and will be removed in 1.6. To keep past behavior, leave 'pos_label' "
-            " as default value.", FutureWarning
+            (
+                "The None option for 'pos_label' was deprecated in version 1.4 "
+                "and will be removed in 1.6. To keep past behavior, leave 'pos_label' "
+                " as default value."
+            ),
+            FutureWarning,
         )
     elif pos_label != 1:
         warnings.warn(