summaryrefslogtreecommitdiff
path: root/src/python/gudhi/point_cloud/dtm.py
diff options
context:
space:
mode:
authorMarc Glisse <marc.glisse@inria.fr>2020-03-28 12:17:29 +0100
committerMarc Glisse <marc.glisse@inria.fr>2020-03-28 12:17:29 +0100
commita911f9707d44259a38ae3dbb6fbcec75779fc639 (patch)
tree1da205842f5eb574ccfe10825976166bce3707e9 /src/python/gudhi/point_cloud/dtm.py
parent35a12b553c85af8ce31629b90a27a7071b0cc379 (diff)
doc
Diffstat (limited to 'src/python/gudhi/point_cloud/dtm.py')
-rw-r--r--src/python/gudhi/point_cloud/dtm.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/point_cloud/dtm.py b/src/python/gudhi/point_cloud/dtm.py
index 520cbea8..3ac69f31 100644
--- a/src/python/gudhi/point_cloud/dtm.py
+++ b/src/python/gudhi/point_cloud/dtm.py
@@ -20,7 +20,7 @@ class DTM:
Args:
k (int): number of neighbors (possibly including the point itself).
q (float): order used to compute the distance to measure. Defaults to the dimension, or 2 if metric is "neighbors" or "distance_matrix".
- kwargs: Same parameters as :class:`~gudhi.point_cloud.knn.KNN`, except that metric="neighbors" means that :func:`transform` expects an array with the distances to the k nearest neighbors.
+ kwargs: same parameters as :class:`~gudhi.point_cloud.knn.KNN`, except that metric="neighbors" means that :func:`transform` expects an array with the distances to the k nearest neighbors.
"""
self.k = k
self.q = q