diff options
Diffstat (limited to 'src/python/gudhi/sktda/metrics.py')
| -rw-r--r-- | src/python/gudhi/sktda/metrics.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/python/gudhi/sktda/metrics.py b/src/python/gudhi/sktda/metrics.py index c51b8f3b..c512cb82 100644 --- a/src/python/gudhi/sktda/metrics.py +++ b/src/python/gudhi/sktda/metrics.py @@ -29,7 +29,7 @@ class SlicedWassersteinDistance(BaseEstimator, TransformerMixin): """ Constructor for the SlicedWassersteinDistance class. - Attributes: + Parameters: num_directions (int): number of lines evenly sampled from [-pi/2,pi/2] in order to approximate and speed up the distance computation (default 10). """ self.num_directions = num_directions @@ -90,7 +90,7 @@ class BottleneckDistance(BaseEstimator, TransformerMixin): """ Constructor for the BottleneckDistance class. - Attributes: + Parameters: epsilon (double): approximation quality (default 1e-4). """ self.epsilon = epsilon @@ -152,7 +152,7 @@ class PersistenceFisherDistance(BaseEstimator, TransformerMixin): """ Constructor for the PersistenceFisherDistance class. - Attributes: + Parameters: bandwidth (double): bandwidth of the Gaussian kernel used to turn persistence diagrams into probability distributions (default 1.). kernel_approx (class): kernel approximation class used to speed up computation (default None). Common kernel approximations classes can be found in the scikit-learn library (such as RBFSampler for instance). """ |