Comments (2)
Thank you for your interest in PaCMAP and your suggestion! We do have implemented methods to save PaCMAP locally, but as reported in #34 there seems to be some problem when saving the ANNOY trees. We will get it fixed soon and let you know!
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V0.7.0 has been released on GitHub, which comes with the save and load feature. I will upload the version to PyPI later today. Please let us know if the new version solves your problem!
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Related Issues (20)
- Segmentation fault when running model in loop HOT 1
- Error when the number of instances grow to large HOT 2
- Large-scale PaCMAP HOT 5
- `fit_transform` and `transform` on the same feature doesn't return the same value HOT 9
- speed up processing large dataset HOT 1
- Is `inverse_transform` possible with PaCMAP? HOT 1
- Add PaCMAP to Conda-forge please HOT 2
- Metric learning with PaCMAP? HOT 2
- Failed to install PaCMAP with pip HOT 4
- build fails without strict numba requirement HOT 2
- Error running test code HOT 5
- angular distance embedding inconsistencies HOT 1
- [Bug] Problem with angular metric HOT 3
- Implementation with PyTorch HOT 1
- Cosine distance has a call to sqrt HOT 2
- Accept Sparse input scipy
- init with user specified matrix HOT 6
- Required characteristics of the input data HOT 1
- Default n_neighbors parameter does not match documentation in README HOT 1
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