Comments (2)
It should now be working. Some distance measures won't work for sparse data (Haversine and Yule are the major ones). You will also need to write different custom metrics for the sparse case, and I haven't enabled that as an option just yet (although it should be an easy change -- I just want to be able to verify the function is valid, and I need to know how to get that info out of numba).
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This would be an amazing feature!
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Related Issues (20)
- scipy.sparse._csparsetools.lil_get_lengths Error Running UMAP
- Not able to work with old embedder object created using python 3.8 HOT 1
- Setting a random state still leads to stochastic results
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- Is 'n_training_epochs' working for parameteric UMAP?
- visualize video data
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- Edit instructions to make them compatible with zsh
- Empty API page on UMAP API Guide? HOT 1
- PCA diagnostic error HOT 2
- Speed inquries HOT 2
- UMAP crashes when torch also imported before first run HOT 2
- Unable to pickle trained UMAP instance
- Reducing Model Size for UMAP on Large Datasets HOT 2
- umap.UMAP accepts strings as n_neighbors and min_dist, causing later failures
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- RunUMAP Failing HOT 1
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- TypeError: Dispatcher._rebuild() got an unexpected keyword argument 'impl_kind' HOT 1
- illegal hardware instruction python HOT 2
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