From e7abd0ab93402ab5db6a637b570a13872c8e2c39 Mon Sep 17 00:00:00 2001
From: peay <peay@protonmail.com>
Date: Mon, 1 Apr 2019 08:07:12 +0200
Subject: [PATCH] FIX Explicitly ignore SparseEfficiencyWarning in DBSCAN

---
 sklearn/cluster/dbscan_.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/sklearn/cluster/dbscan_.py b/sklearn/cluster/dbscan_.py
index f21beb3f91453..33ddf47948dc1 100644
--- a/sklearn/cluster/dbscan_.py
+++ b/sklearn/cluster/dbscan_.py
@@ -10,11 +10,11 @@
 # License: BSD 3 clause
 
 import numpy as np
+import warnings
 from scipy import sparse
 
 from ..base import BaseEstimator, ClusterMixin
 from ..utils import check_array, check_consistent_length
-from ..utils.testing import ignore_warnings
 from ..neighbors import NearestNeighbors
 
 from ._dbscan_inner import dbscan_inner
@@ -145,7 +145,8 @@ def dbscan(X, eps=0.5, min_samples=5, metric='minkowski', metric_params=None,
         X.sum_duplicates()  # XXX: modifies X's internals in-place
 
         # set the diagonal to explicit values, as a point is its own neighbor
-        with ignore_warnings():
+        with warnings.catch_warnings():
+            warnings.simplefilter('ignore', sparse.SparseEfficiencyWarning)
             X.setdiag(X.diagonal())  # XXX: modifies X's internals in-place
 
         X_mask = X.data <= eps