Comments (9)
Glad to see all your and James' work make it out into a release.
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I ran pyroma (via Prospector), a linting tool specifically for setup.py
, and it suggested a few minor changes that might be worth including. I will supply a PR later today.
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Thanks @jlmelville!
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Thanks @tomwhite and @jlmelville for all the work you have both put into this recently -- it has been greatly appreciated. I really hope to get some time soon to go through and properly catch up with everything and start adding a few bits and pieces (multi-threaded trees, dask support, etc.) In the meantime, yes, this is definitely worthy of a 0.3 release -- I'll wait for James to make his changes, and try and get it done in the next day or so.
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Thanks @lmcinnes.
Re dask support, I have got a branch that I wrote a while ago. I'll post it soon.
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Before we release this I was thinking it would be good to be sure that the API for running in threaded mode is what we want. I've started looking at joblib to see if we can use that.
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I'm happy with the current state, but understand if you want to address a few of the remaining joblib related bits and pieces first (alternatively we can add those in a 0.3.1 as needed). Let me know.
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I think it's worth removing chunk_size
from the API for NNDescent
or at least making it optional. I will submit a PR. (Other bits and pieces can wait for a point release.)
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Thanks for releasing 0.3.0 @lmcinnes!
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Related Issues (20)
- `make_dense_tree()` with `angular=True` can segfault on poorly-behaved datasets HOT 1
- access distances in heap HOT 3
- 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 4
- 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
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