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Diffstat (limited to 'python/pyspark/mllib/tests.py')
| -rw-r--r-- | python/pyspark/mllib/tests.py | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/python/pyspark/mllib/tests.py b/python/pyspark/mllib/tests.py index 49ce125de7..d9f9874d50 100644 --- a/python/pyspark/mllib/tests.py +++ b/python/pyspark/mllib/tests.py @@ -129,17 +129,22 @@ class VectorTests(MLlibTestCase): [1., 2., 3., 4.], [1., 2., 3., 4.], [1., 2., 3., 4.]]) + arr = pyarray.array('d', [0, 1, 2, 3]) self.assertEquals(10.0, sv.dot(dv)) self.assertTrue(array_equal(array([3., 6., 9., 12.]), sv.dot(mat))) self.assertEquals(30.0, dv.dot(dv)) self.assertTrue(array_equal(array([10., 20., 30., 40.]), dv.dot(mat))) self.assertEquals(30.0, lst.dot(dv)) self.assertTrue(array_equal(array([10., 20., 30., 40.]), lst.dot(mat))) + self.assertEquals(7.0, sv.dot(arr)) def test_squared_distance(self): sv = SparseVector(4, {1: 1, 3: 2}) dv = DenseVector(array([1., 2., 3., 4.])) lst = DenseVector([4, 3, 2, 1]) + lst1 = [4, 3, 2, 1] + arr = pyarray.array('d', [0, 2, 1, 3]) + narr = array([0, 2, 1, 3]) self.assertEquals(15.0, _squared_distance(sv, dv)) self.assertEquals(25.0, _squared_distance(sv, lst)) self.assertEquals(20.0, _squared_distance(dv, lst)) @@ -149,6 +154,9 @@ class VectorTests(MLlibTestCase): self.assertEquals(0.0, _squared_distance(sv, sv)) self.assertEquals(0.0, _squared_distance(dv, dv)) self.assertEquals(0.0, _squared_distance(lst, lst)) + self.assertEquals(25.0, _squared_distance(sv, lst1)) + self.assertEquals(3.0, _squared_distance(sv, arr)) + self.assertEquals(3.0, _squared_distance(sv, narr)) def test_conversion(self): # numpy arrays should be automatically upcast to float64 |