Remove dtype conversion warning (scikit-learn#7265)

Author: Mridul Seth

sklearn/cluster/k_means_.py

@@ -860,8 +860,7 @@ def _check_fit_data(self, X):
         return X
 
     def _check_test_data(self, X):
-        X = check_array(X, accept_sparse='csr', dtype=FLOAT_DTYPES,
-                        warn_on_dtype=True)
+        X = check_array(X, accept_sparse='csr', dtype=FLOAT_DTYPES)
         n_samples, n_features = X.shape
         expected_n_features = self.cluster_centers_.shape[1]
         if not n_features == expected_n_features:

sklearn/cluster/tests/test_k_means.py

@@ -44,15 +44,6 @@
 X_csr = sp.csr_matrix(X)
 
 
-def test_kmeans_dtype():
-    rnd = np.random.RandomState(0)
-    X = rnd.normal(size=(40, 2))
-    X = (X * 10).astype(np.uint8)
-    km = KMeans(n_init=1).fit(X)
-    pred_x = assert_warns(DataConversionWarning, km.predict, X)
-    assert_array_equal(km.labels_, pred_x)
-
-
 def test_elkan_results():
     rnd = np.random.RandomState(0)
     X_normal = rnd.normal(size=(50, 10))