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giotto-ai / giotto-tda

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PairwiseDistance with bottleneck metric returns non-symmetric matrix when delta is not zero

miltminz
miltminz commented Apr 14, 2020

Test code:

from sklearn.datasets import load_digits
from gtda.homology import CubicalPersistence
from gtda.diagrams import PairwiseDistance

X, _ = load_digits(return_X_y=True) 
nb_samples = 100
CP = CubicalPersistence(homology_dimensions=(0, 1))
X_diag = CP.fit_transform(X[:nb_samples].reshape(nb_samples, 8, 8))
PD = PairwiseDistance(
    metric='bottleneck', metric_params={'delta'
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enhancement good first issue

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