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thanks for exposing and maintaining this library of Numba examples.
I have a full-Numba implementation of both KDTrees and BallTrees, and wondered whether this would be valuable to add in this repo.
My code is here, and I am willing to enrich it (add a few extra necessary methods) in order to match the minimal functionalities required by most use cases / or match the implementations standards that may reign in this repo.
Let me know,
The text was updated successfully, but these errors were encountered:
Add KD-Tree and Ball-Tree implementations
Implement spatial tree data structures for efficient nearest neighbor
searches. This includes:
- KD-Tree: space-partitioning structure for k-dimensional points
- Ball-Tree: metric tree using nested hyperspheres
- Pure Python implementation with no external dependencies
- Comprehensive test suite with accuracy and performance benchmarks
- Documentation with usage examples and performance metrics
Fixesnumba#35
Hello,
thanks for exposing and maintaining this library of Numba examples.
I have a full-Numba implementation of both KDTrees and BallTrees, and wondered whether this would be valuable to add in this repo.
My code is here, and I am willing to enrich it (add a few extra necessary methods) in order to match the minimal functionalities required by most use cases / or match the implementations standards that may reign in this repo.
Let me know,
The text was updated successfully, but these errors were encountered: