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-rwxr-xr-xsrc/python/example/diagram_vectorizations_distances_kernels.py7
1 files changed, 1 insertions, 6 deletions
diff --git a/src/python/example/diagram_vectorizations_distances_kernels.py b/src/python/example/diagram_vectorizations_distances_kernels.py
index 66c32cc2..119072eb 100755
--- a/src/python/example/diagram_vectorizations_distances_kernels.py
+++ b/src/python/example/diagram_vectorizations_distances_kernels.py
@@ -9,7 +9,7 @@ from gudhi.representations import DiagramSelector, Clamping, Landscape, Silhouet
TopologicalVector, DiagramScaler, BirthPersistenceTransform,\
PersistenceImage, PersistenceWeightedGaussianKernel, Entropy, \
PersistenceScaleSpaceKernel, SlicedWassersteinDistance,\
- SlicedWassersteinKernel, BottleneckDistance, WassersteinDistance, PersistenceFisherKernel
+ SlicedWassersteinKernel, BottleneckDistance, PersistenceFisherKernel
D = np.array([[0.,4.],[1.,2.],[3.,8.],[6.,8.], [0., np.inf], [5., np.inf]])
diags = [D]
@@ -117,11 +117,6 @@ X = SW.fit(diags)
Y = SW.transform(diags2)
print("SW kernel is " + str(Y[0][0]))
-W = WassersteinDistance(order=2, internal_p=2)
-X = W.fit(diags)
-Y = W.transform(diags2)
-print("Wasserstein distance is " + str(Y[0][0]))
-
W = BottleneckDistance(epsilon=.001)
X = W.fit(diags)
Y = W.transform(diags2)