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author | Marc Glisse <marc.glisse@inria.fr> | 2020-04-11 18:18:14 +0200 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2020-04-11 18:18:14 +0200 |
commit | f9a933862050ca95b3a96d7a8572d62f7f2205a9 (patch) | |
tree | 65b1a3df0d67ea0323942cbf4bc15e6371665793 /src/python/gudhi | |
parent | 0a404547afec2e43dd5edf9410ff079d156d691a (diff) |
Use longer names
Diffstat (limited to 'src/python/gudhi')
-rw-r--r-- | src/python/gudhi/point_cloud/dtm.py | 10 | ||||
-rw-r--r-- | src/python/gudhi/point_cloud/knn.py | 2 |
2 files changed, 7 insertions, 5 deletions
diff --git a/src/python/gudhi/point_cloud/dtm.py b/src/python/gudhi/point_cloud/dtm.py index 23c36b88..38368f29 100644 --- a/src/python/gudhi/point_cloud/dtm.py +++ b/src/python/gudhi/point_cloud/dtm.py @@ -7,10 +7,10 @@ # Modification(s): # - YYYY/MM Author: Description of the modification -from .knn import KNN +from .knn import KNearestNeighbors -class DTM: +class DistanceToMeasure: """ Class to compute the distance to the empirical measure defined by a point set, as introduced in :cite:`dtm`. """ @@ -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 2. - 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.KNearestNeighbors`, 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 @@ -35,7 +35,9 @@ class DTM: X (numpy.array): coordinates for mass points. """ if self.params.setdefault("metric", "euclidean") != "neighbors": - self.knn = KNN(self.k, return_index=False, return_distance=True, sort_results=False, **self.params) + self.knn = KNearestNeighbors( + self.k, return_index=False, return_distance=True, sort_results=False, **self.params + ) self.knn.fit(X) return self diff --git a/src/python/gudhi/point_cloud/knn.py b/src/python/gudhi/point_cloud/knn.py index 8369f1f8..6642a3c2 100644 --- a/src/python/gudhi/point_cloud/knn.py +++ b/src/python/gudhi/point_cloud/knn.py @@ -10,7 +10,7 @@ import numpy -class KNN: +class KNearestNeighbors: """ Class wrapping several implementations for computing the k nearest neighbors in a point set. """ |