6 releases (3 breaking)
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 |
0.4.0 | Apr 28, 2021 |
#974 in Machine learning
517 downloads per month
Used in 4 crates
(3 directly)
260KB
5K
SLoC
Partial Least Squares
linfa-pls
provides a pure Rust implementation of the partial least squares algorithm family.
The Big Picture
linfa-pls
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-pls
currently provides an implementation of the following methods:
- Partial Least Squares
Examples
There is an usage example in the examples/
directory. To run it, use:
$ cargo run --example pls_regression
BLAS/Lapack backend
See this section to enable an external BLAS/LAPACK backend.
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
~5–15MB
~232K SLoC