DOC fix n_jobs docs in KMeans as in 0a61119.

amueller · amueller · commit 5ff34b224cf8 · 2015-03-25T17:38:23.000-04:00
diff --git a/sklearn/cluster/k_means_.py b/sklearn/cluster/k_means_.py
@@ -670,10 +670,9 @@ class KMeans(BaseEstimator, ClusterMixin, TransformerMixin):
     tol : float, default: 1e-4
         Relative tolerance with regards to inertia to declare convergence
 
-    n_jobs : int, default: 1
-        The number of jobs to use for the computation. This works by breaking
-        down the pairwise matrix into n_jobs even slices and computing them in
-        parallel.
+    n_jobs : int
+        The number of jobs to use for the computation. This works by computing
+        each of the n_init runs in parallel.
 
         If -1 all CPUs are used. If 1 is given, no parallel computing code is
         used at all, which is useful for debugging. For n_jobs below -1,
