linfa-nn provides Rust implementations of common spatial indexing algorithms, as well as a
trait-based interface for performing nearest-neighbour and range queries using these
algorithms.
The big picture
linfa-nn is a crate in the linfa ecosystem, a wider effort to
bootstrap a toolkit for classical Machine Learning implemented in pure Rust,
kin in spirit to Python's scikit-learn.
You can find a roadmap (and a selection of good first issues) here - contributors are more than welcome!
Current state
Right now linfa-nn provides the following algorithms:
The CommonNearestNeighbour enum should be used to dispatch
between all of the above algorithms flexibly.