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author | Marc Glisse <marc.glisse@inria.fr> | 2019-11-14 13:37:08 +0100 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2019-11-14 13:37:08 +0100 |
commit | 8427713bc748bc040dd696a64d81b3fe6f648a07 (patch) | |
tree | 655d53f6efe979a5b62ecaf9e0320a54e9adb9ff /src/python/gudhi/sktda/kernel_methods.py | |
parent | 0fa77a12509ea6d51043569b592bad855f276a45 (diff) |
Remove mentions of the exact sliced Wasserstein (not implemented)
Diffstat (limited to 'src/python/gudhi/sktda/kernel_methods.py')
-rw-r--r-- | src/python/gudhi/sktda/kernel_methods.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/sktda/kernel_methods.py b/src/python/gudhi/sktda/kernel_methods.py index 24067718..d409accd 100644 --- a/src/python/gudhi/sktda/kernel_methods.py +++ b/src/python/gudhi/sktda/kernel_methods.py @@ -26,7 +26,7 @@ class SlicedWassersteinKernel(BaseEstimator, TransformerMixin): Attributes: bandwidth (double): bandwidth of the Gaussian kernel applied to the sliced Wasserstein distance (default 1.). - num_directions (int): number of lines evenly sampled from [-pi/2,pi/2] in order to approximate and speed up the kernel computation (default 10). If -1, the exact kernel is computed. + num_directions (int): number of lines evenly sampled from [-pi/2,pi/2] in order to approximate and speed up the kernel computation (default 10). """ self.bandwidth = bandwidth self.sw_ = SlicedWassersteinDistance(num_directions=num_directions) |