diff options
Diffstat (limited to 'tensorflow/contrib/factorization/python/ops/kmeans_test.py')
| -rw-r--r-- | tensorflow/contrib/factorization/python/ops/kmeans_test.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/kmeans_test.py b/tensorflow/contrib/factorization/python/ops/kmeans_test.py index 0103cc4439..88eb9cf692 100644 --- a/tensorflow/contrib/factorization/python/ops/kmeans_test.py +++ b/tensorflow/contrib/factorization/python/ops/kmeans_test.py @@ -413,7 +413,7 @@ class KMeansCosineDistanceTest(KMeansTestBase): self.assertAllClose(score, self.true_score, atol=1e-2) def test_predict_kmeans_plus_plus(self): - # Most points are concetrated near one center. KMeans++ is likely to find + # Most points are concentrated near one center. KMeans++ is likely to find # the less populated centers. points = np.array( [[2.5, 3.5], [2.5, 3.5], [-2, 3], [-2, 3], [-3, -3], [-3.1, -3.2], @@ -604,7 +604,7 @@ class KMeansTestQueues(test.TestCase): return _fn # This test makes sure that there are no deadlocks when using a QueueRunner. - # Note that since cluster initialization is dependendent on inputs, if input + # Note that since cluster initialization is dependent on inputs, if input # is generated using a QueueRunner, one has to make sure that these runners # are started before the initialization. def test_queues(self): |