summaryrefslogtreecommitdiff
path: root/src/python/test/test_dtm.py
diff options
context:
space:
mode:
authorMarc Glisse <marc.glisse@inria.fr>2020-05-12 20:36:38 +0200
committerMarc Glisse <marc.glisse@inria.fr>2020-05-12 20:36:38 +0200
commitc87a1f10e048477d210ae0abd657da87bba1102a (patch)
tree29d681e85bfb0d5b4eebdc17ce1a0b567704b7da /src/python/test/test_dtm.py
parent7bbbe63ffa2a812dc49c37c77b4f4a4be46b2a49 (diff)
test + reformat
Diffstat (limited to 'src/python/test/test_dtm.py')
-rwxr-xr-xsrc/python/test/test_dtm.py11
1 files changed, 10 insertions, 1 deletions
diff --git a/src/python/test/test_dtm.py b/src/python/test/test_dtm.py
index bff4c267..34d28d4d 100755
--- a/src/python/test/test_dtm.py
+++ b/src/python/test/test_dtm.py
@@ -8,10 +8,11 @@
- YYYY/MM Author: Description of the modification
"""
-from gudhi.point_cloud.dtm import DistanceToMeasure
+from gudhi.point_cloud.dtm import DistanceToMeasure, DTMDensity
import numpy
import pytest
import torch
+import math
def test_dtm_compare_euclidean():
@@ -66,3 +67,11 @@ def test_dtm_precomputed():
dtm = DistanceToMeasure(2, q=2, metric="neighbors")
r = dtm.fit_transform(dist)
assert r == pytest.approx([2.0, 0.707, 3.5355], rel=0.01)
+
+
+def test_density_normalized():
+ sample = numpy.random.normal(0, 1, (1000000, 2))
+ queries = numpy.array([[0.0, 0.0], [-0.5, 0.7], [0.4, 1.7]])
+ expected = numpy.exp(-(queries ** 2).sum(-1) / 2) / (2 * math.pi)
+ estimated = DTMDensity(k=150, normalize=True).fit(sample).transform(queries)
+ assert estimated == pytest.approx(expected, rel=0.4)