DOC Clarified n_jobs parallelization in plot_partial_dependence (#19750)

InterferencePattern · James Michael Budarz · web-flow · commit 3e64e9e6ce6f · 2021-03-23T07:46:14.000-04:00
Co-authored-by: James Michael Budarz &lt;james.m.budarz@aexp.com&gt;
diff --git a/sklearn/inspection/_plot/partial_dependence.py b/sklearn/inspection/_plot/partial_dependence.py
@@ -174,6 +174,9 @@ def plot_partial_dependence(
 
     n_jobs : int, default=None
         The number of CPUs to use to compute the partial dependences.
+        Computation is parallelized over features specified by the `features`
+        parameter.
+
         ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
         ``-1`` means using all processors. See :term:`Glossary <n_jobs>`
         for more details.
