Comments (1)
It is certainly in the category of "in development" rather than ready for mainstream use. It does also require dask, and ideally dask.distributed, including setting up a dask cluster with workers before running, which may be part of the issue.
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Related Issues (20)
- Sample identifiers for semantic search HOT 2
- uint8 as internal data HOT 1
- Cosine metric - error "Negative values in data passed to precomputed distance matrix" HOT 2
- Question about covariance matrix used when using Mahalanobis distance
- Tests fail: E SystemError: initialization of _internal failed without raising an exception
- Newest version breaks with UMAP HOT 3
- Slice error using mac M1-max ARM HOT 6
- Exceedingly large amount of memory usage
- Very high memory usage HOT 7
- Specifying threshold in distance metrics
- API to save and load index from disk
- Minor bias in split selection? HOT 1
- true_angular is not a distance?
- TSSS missing a factor of 2
- Reverse diversification is actually forward diversification again
- pynndescent might break with next numba release HOT 3
- How to navigate pyinstaller HOT 1
- Querying the training set: runtime tradeoff for large k HOT 2
- 1 test fails: ZeroDivisionError: division by zero
- `np.infty` replacement
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