6 releases (3 breaking)
0.7.0 | Oct 16, 2023 |
---|---|
0.6.1 | Dec 3, 2022 |
0.6.0 | Jun 15, 2022 |
0.5.1 | Mar 1, 2022 |
0.4.0 | Apr 28, 2021 |
#935 in Machine learning
215KB
4K
SLoC
t-SNE
linfa-tsne
provides a pure Rust implementation of exact and Barnes-Hut t-SNE.
The Big Picture
linfa-tsne
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
.
Current state
linfa-tsne
currently provides an implementation of the following methods:
- exact solution t-SNE
- Barnes-Hut t-SNE
It wraps the bhtsne crate, all kudos to them.
Examples
There is an usage example in the examples/
directory. To run it, do:
$ cargo run --example tsne
You have to install the gnuplot
library for plotting. Also take a look at the README to see what BLAS/LAPACK backends are possible.
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
~5.5MB
~95K SLoC