linfa-reduction aims to provide pure Rust implementations of dimensional reduction algorithms.
linfa-reduction 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.
linfa-reduction currently provides an implementation of the following dimensional reduction methods:
- Diffusion Mapping
- Principal Component Analysis (PCA)
There is an usage example in the examples/ directory. To run, use:
$ cargo run --release --example diffusion_map
$ cargo run --release --example pca