5 unstable releases
0.7.0 | Oct 16, 2023 |
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0.6.1 | Dec 3, 2022 |
0.6.0 | Jun 15, 2022 |
0.5.1 | Mar 1, 2022 |
0.5.0 | Oct 21, 2021 |
#694 in Machine learning
21,150 downloads per month
Used in 19 crates
(6 directly)
240KB
4.5K
SLoC
Nearest Neighbor
linfa-nn
provides a pure Rust implementation of nearest neighbor algorithms.
The Big Picture
linfa-nn
is a crate in the linfa
ecosystem, an effort to create a toolkit for classical Machine Learning implemented in pure Rust, akin to Python's scikit-learn
.
Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.
Current State
linfa-nn currently provides the following implementations: - linear - balltree - KDTree
License
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.
Dependencies
~5MB
~96K SLoC