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| author | MathieuCarriere <mathieu.carriere3@gmail.com> | 2019-11-04 18:18:10 -0500 |
|---|---|---|
| committer | MathieuCarriere <mathieu.carriere3@gmail.com> | 2019-11-04 18:18:10 -0500 |
| commit | 38135d576d92cea7b4e355e2e70a4fe322d4b6e7 (patch) | |
| tree | ea01aac00feda5edc9efb2443f7b82eef38b1de7 /src/python/gudhi/sktda/metrics.py | |
| parent | 77e7ee6e197aa8f0cf0fc0065c8d12e7c543e21f (diff) | |
fixes to Marc's comments
Diffstat (limited to 'src/python/gudhi/sktda/metrics.py')
| -rw-r--r-- | src/python/gudhi/sktda/metrics.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/sktda/metrics.py b/src/python/gudhi/sktda/metrics.py index 816441b6..e85fd14d 100644 --- a/src/python/gudhi/sktda/metrics.py +++ b/src/python/gudhi/sktda/metrics.py @@ -26,7 +26,7 @@ class SlicedWassersteinDistance(BaseEstimator, TransformerMixin): Constructor for the SlicedWassersteinDistance class. Attributes: - num_directions (int): number of lines to sample uniformly from [-pi,pi] in order to approximate and speed up the distance computation (default 10). + 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 thetas = np.linspace(-np.pi/2, np.pi/2, num=self.num_directions+1)[np.newaxis,:-1] |