DOC Fix documentation of default values in multiclass.py (#17986)

bmaisonn · web-flow · commit a91d09b9ad09 · 2020-07-25T16:17:19.000+02:00
diff --git a/sklearn/multiclass.py b/sklearn/multiclass.py
@@ -160,7 +160,7 @@ class OneVsRestClassifier(MultiOutputMixin, ClassifierMixin,
         An estimator object implementing :term:`fit` and one of
         :term:`decision_function` or :term:`predict_proba`.
 
-    n_jobs : int or None, optional (default=None)
+    n_jobs : int, default=None
         The number of jobs to use for the computation: the `n_classes`
         one-vs-rest problems are computed in parallel.
 
@@ -521,7 +521,7 @@ class OneVsOneClassifier(MetaEstimatorMixin, ClassifierMixin, BaseEstimator):
         An estimator object implementing :term:`fit` and one of
         :term:`decision_function` or :term:`predict_proba`.
 
-    n_jobs : int or None, optional (default=None)
+    n_jobs : int, default=None
         The number of jobs to use for the computation: the `n_classes * (
         n_classes - 1) / 2` OVO problems are computed in parallel.
 
@@ -745,12 +745,12 @@ class OutputCodeClassifier(MetaEstimatorMixin, ClassifierMixin, BaseEstimator):
         one-vs-the-rest. A number greater than 1 will require more classifiers
         than one-vs-the-rest.
 
-    random_state : int, RandomState instance or None, default=None
+    random_state : int, RandomState instance, default=None
         The generator used to initialize the codebook.
         Pass an int for reproducible output across multiple function calls.
         See :term:`Glossary <random_state>`.
 
-    n_jobs : int or None, optional (default=None)
+    n_jobs : int, default=None
         The number of jobs to use for the computation: the multiclass problems
         are computed in parallel.
 
