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| author | Vincent Rouvreau <vincent.rouvreau@inria.fr> | 2021-10-22 12:44:07 +0200 |
|---|---|---|
| committer | Vincent Rouvreau <vincent.rouvreau@inria.fr> | 2021-10-22 12:44:07 +0200 |
| commit | 4a0bc0fe1d6424da9bf979cfc322067a62f41cc9 (patch) | |
| tree | d33ae518cb11475f43b987f40bb0e4b3f2dc85b1 /src/python/gudhi/representations/vector_methods.py | |
| parent | e4122147ee4643dbca6c65efebf83eb2adad6aec (diff) | |
Fix exception management when sklearn version < 1.0
Diffstat (limited to 'src/python/gudhi/representations/vector_methods.py')
| -rw-r--r-- | src/python/gudhi/representations/vector_methods.py | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py index 47c5224c..b83c2a87 100644 --- a/src/python/gudhi/representations/vector_methods.py +++ b/src/python/gudhi/representations/vector_methods.py @@ -500,7 +500,11 @@ class TopologicalVector(BaseEstimator, TransformerMixin): diagram, num_pts_in_diag = X[i], X[i].shape[0] pers = 0.5 * (diagram[:,1]-diagram[:,0]) min_pers = np.minimum(pers,np.transpose(pers)) - distances = DistanceMetric.get_metric("chebyshev").pairwise(diagram) + # Works fine with sklearn 1.0, but an ValueError exception is thrown on past versions + try: + distances = DistanceMetric.get_metric("chebyshev").pairwise(diagram) + except ValueError: + distances = np.empty(shape = [0, 0]) vect = np.flip(np.sort(np.triu(np.minimum(distances, min_pers)), axis=None), 0) dim = min(len(vect), thresh) Xfit[i, :dim] = vect[:dim] |