diff options
| -rw-r--r-- | python/pyspark/mllib/linalg/__init__.py | 3 | ||||
| -rw-r--r-- | python/pyspark/mllib/tests.py | 12 |
2 files changed, 10 insertions, 5 deletions
diff --git a/python/pyspark/mllib/linalg/__init__.py b/python/pyspark/mllib/linalg/__init__.py index ea42127f16..d903b9030d 100644 --- a/python/pyspark/mllib/linalg/__init__.py +++ b/python/pyspark/mllib/linalg/__init__.py @@ -770,6 +770,9 @@ class SparseVector(Vector): raise ValueError("Index %d out of bounds." % index) insert_index = np.searchsorted(inds, index) + if insert_index >= inds.size: + return 0. + row_ind = inds[insert_index] if row_ind == index: return vals[insert_index] diff --git a/python/pyspark/mllib/tests.py b/python/pyspark/mllib/tests.py index 96cf13495a..2a6a5cd3fe 100644 --- a/python/pyspark/mllib/tests.py +++ b/python/pyspark/mllib/tests.py @@ -237,15 +237,17 @@ class VectorTests(MLlibTestCase): self.assertTrue(dv.array.dtype == 'float64') def test_sparse_vector_indexing(self): - sv = SparseVector(4, {1: 1, 3: 2}) + sv = SparseVector(5, {1: 1, 3: 2}) self.assertEqual(sv[0], 0.) self.assertEqual(sv[3], 2.) self.assertEqual(sv[1], 1.) self.assertEqual(sv[2], 0.) - self.assertEqual(sv[-1], 2) - self.assertEqual(sv[-2], 0) - self.assertEqual(sv[-4], 0) - for ind in [4, -5]: + self.assertEqual(sv[4], 0.) + self.assertEqual(sv[-1], 0.) + self.assertEqual(sv[-2], 2.) + self.assertEqual(sv[-3], 0.) + self.assertEqual(sv[-5], 0.) + for ind in [5, -6]: self.assertRaises(ValueError, sv.__getitem__, ind) for ind in [7.8, '1']: self.assertRaises(TypeError, sv.__getitem__, ind) |