FIX: missing string formating argument in MBKMeans error message

ogrisel · ogrisel · commit 9748565365e9 · 2012-04-04T09:40:14.000+02:00
diff --git a/sklearn/cluster/k_means_.py b/sklearn/cluster/k_means_.py
@@ -573,7 +573,7 @@ def _init_centroids(X, k, init, random_state=None, x_squared_norms=None,
     else:
         raise ValueError("the init parameter for the k-means should "
             "be 'k-means++' or 'random' or an ndarray, "
-            "'%s' (type '%s') was passed.")
+            "'%s' (type '%s') was passed." % (init, type(init)))
 
     if sp.issparse(centers):
         centers = centers.toarray()
diff --git a/sklearn/cluster/tests/test_k_means.py b/sklearn/cluster/tests/test_k_means.py
@@ -294,6 +294,11 @@ def test_k_means_invalid_init():
     assert_raises(ValueError, k_means.fit, X)
 
 
+def test_mini_match_k_means_invalid_init():
+    k_means = MiniBatchKMeans(init="invalid", n_init=1, k=n_clusters)
+    assert_raises(ValueError, k_means.fit, X)
+
+
 def test_k_means_copyx():
     """Check if copy_x=False returns nearly equal X after de-centering."""
     my_X = X.copy()
