Crate linfa_reduction[][src]

Expand description

Dimensional Reduction

linfa-reduction aims to provide pure Rust implementations of dimensional reduction algorithms.

The Big Picture

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.

Current state

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


pub use utils::to_gaussian_similarity;



Embedding of diffusion map technique

Diffusion map hyperparameters

Diffusion map hyperparameters

Fitted Principal Component Analysis model

Pincipal Component Analysis parameters


Type Definitions