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spacy
- A tour of awesome features of spaCy (part 1/2) - https://medium.com/eliiza-ai/a-tour-of-awesome-features-of-spacy-part-1-2-58b32425954f
- A tour of awesome features of spaCy (part 2/…
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Use scipy.spatial.Delaunay to determine neighboring cells. Then determine distance to the furthest neighbor. See bet.calculateP.calculateError for hints/guidance. Make sure that we use radii as a cuto…
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A general question rather than an issue, really ---
I've been experimenting with the use of HNSW for a (very slightly) different problem than k-nearest neighbors, and wanted to ask whether it's rea…
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I'm trying to replace my regular grid search with HNSW, but HNSW seems to fail rather spectacularly in finding the nearest neighbor in some cases. I understand that it's an approximate method, but it'…
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This attempts to consider some of the criteria we should consider when selecting algorithm:
1. Are the results approximate or exact? If approximate, how accurate vs exhaustive search? is it tuneabl…
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Following the approach here: https://umap-learn.readthedocs.io/en/latest/sparse.html; I'm sending UMAP a sparse float dataset, consisting only of 1.0 32-bit float values and zeroes, using Jaccard dist…
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Hi There,
I'm analyzing single-cell rna-seq data using scanpy on a Ubuntu virtual machine with 16 cpus and the following package versions:
- umap-learn 0.4.0 (installed from the 0.4dev branch…
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- *Can Shared-Neighbor Distances Defeat theCurse of Dimensionality?* Notes the usefulness of shared neighbors as a similarity metric cf actual distance, which usefulness degrades at higher dimensions.…
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With the rise of fast vector databases for doing approximate nearest neighbors (FLANN, annoy, chroma, milvius, weaviate, etc.), it becomes increasingly useful to have vectorial representations of audi…
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Just curious if the HNSW algorithm is amenable to use in this project? Probably not directly because I see you are jitting in the distance metric but curious if it is worth a look into that algorithm …