diff options
Diffstat (limited to 'src/python/gudhi/point_cloud')
-rw-r--r-- | src/python/gudhi/point_cloud/knn.py | 4 | ||||
-rw-r--r-- | src/python/gudhi/point_cloud/timedelay.py | 5 |
2 files changed, 6 insertions, 3 deletions
diff --git a/src/python/gudhi/point_cloud/knn.py b/src/python/gudhi/point_cloud/knn.py index 34e80b5d..19363097 100644 --- a/src/python/gudhi/point_cloud/knn.py +++ b/src/python/gudhi/point_cloud/knn.py @@ -19,6 +19,10 @@ __license__ = "MIT" class KNearestNeighbors: """ Class wrapping several implementations for computing the k nearest neighbors in a point set. + + :Requires: `PyKeOps <installation.html#pykeops>`__, `SciPy <installation.html#scipy>`__, + `Scikit-learn <installation.html#scikit-learn>`__, and/or `Hnswlib <installation.html#hnswlib>`__ + in function of the selected `implementation`. """ def __init__(self, k, return_index=True, return_distance=False, metric="euclidean", **kwargs): diff --git a/src/python/gudhi/point_cloud/timedelay.py b/src/python/gudhi/point_cloud/timedelay.py index f01df442..5292e752 100644 --- a/src/python/gudhi/point_cloud/timedelay.py +++ b/src/python/gudhi/point_cloud/timedelay.py @@ -10,9 +10,8 @@ import numpy as np class TimeDelayEmbedding: - """Point cloud transformation class. - Embeds time-series data in the R^d according to [Takens' Embedding Theorem] - (https://en.wikipedia.org/wiki/Takens%27s_theorem) and obtains the + """Point cloud transformation class. Embeds time-series data in the R^d according to + `Takens' Embedding Theorem <https://en.wikipedia.org/wiki/Takens%27s_theorem>`_ and obtains the coordinates of each point. Parameters |