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| author | Marc Glisse <marc.glisse@inria.fr> | 2019-11-20 20:30:36 +0100 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2019-11-20 20:30:36 +0100 |
| commit | 7ea7538d02b8f0500dbc31f48dd31fb14d320135 (patch) | |
| tree | 53b9f6067be10bee88c48bbb0c5bf1acfa32aad5 /src/python/gudhi/representations/kernel_methods.py | |
| parent | 445a217f4869c62888a20302491b085fbcaabd1b (diff) | |
Minor tweaks to representations
uniform -> even
matmul -> indexing
min+max -> clip
Diffstat (limited to 'src/python/gudhi/representations/kernel_methods.py')
| -rw-r--r-- | src/python/gudhi/representations/kernel_methods.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/representations/kernel_methods.py b/src/python/gudhi/representations/kernel_methods.py index c855d2be..bfc83aff 100644 --- a/src/python/gudhi/representations/kernel_methods.py +++ b/src/python/gudhi/representations/kernel_methods.py @@ -161,7 +161,7 @@ class PersistenceScaleSpaceKernel(BaseEstimator, TransformerMixin): """ Xp = list(X) for i in range(len(Xp)): - op_X = np.matmul(Xp[i], np.array([[0.,1.], [1.,0.]])) + op_X = Xp[i][:,[1,0]] Xp[i] = np.concatenate([Xp[i], op_X], axis=0) return self.pwg_.transform(Xp) |