Age | Commit message (Collapse) | Author |
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Make size() return size_t
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wasserstein_representations
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It probably returns the biggest integer used in the whole module, it
doesn't make sense that it uses a smaller type.
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persistence generators for lower-star and flag filtrations
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and bold font syntax
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Fix bibliography for sphinx
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undo cgal citation removal
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compute_persistence in python
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Reduce the probability of failure of test_dtm
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It is expected that hnsw sometimes misses one neighbor, which has an
impact on the DTM, especially if the number of neighbors considered is
low.
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Document several optional dependencies of knn
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Make sphinx test as first
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Tweak CircleCI parallelism
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DTM
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Simplify distance-to-diagonal in Wasserstein
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torch.isnan(None) raises an exception anyway
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Streamline initialize_filtration
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