Open jbeuria opened 1 year ago
@jbeuria do you have any clue how this can be fixed? It seems a generic error, possibly requiring to change the type of some indices. If you have ideas and can help with a PR, that would be great.
When trying to compute VietorisRipsPersistence with homology_dimensions > 3, I've run into a the same issue:
OverflowError: simplex index 9223642139012799036 in filtration is larger than maximum index 36028797018963967
To reproduce: take a relatively small number of samples (>10000) but a large number of features (~1000).
@jbeuria do you have any clue how this can be fixed? It seems a generic error, possibly requiring to change the type of some indices. If you have ideas and can help with a PR, that would be great.
Unfortunately, one has to reduce number of simplices getting formed. maximum filtration parameter can be reduced or a different kind of simplicial complex could be used.
Describe the bug
File "/home/server/.local/lib/python3.10/site-packages/gtda/homology/simplicial.py", line 1126, in _weak_alpha_diagram Xdgms = ripser(dm, maxdim=self._max_homology_dimension, File "/home/server/.local/lib/python3.10/site-packages/gph/python/ripser_interface.py", line 603, in ripser_parallel res = _compute_ph_vr_sparse( File "/home/server/.local/lib/python3.10/site-packages/gph/python/ripser_interface.py", line 51, in _compute_ph_vr_sparse ret = gph_ripser.rips_dm_sparse(I, J, V, I.size, N, coeff, OverflowError: simplex index 9223716361969802160 in filtration is larger than maximum index 36028797018963967
To reproduce
Steps to reproduce the behavior: The number points ~ 1 million in point cloud causes so.