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)
Examples
There is an usage example in the examples/
directory. To run, use:
$ cargo run --release --example diffusion_map
$ cargo run --release --example pca
Re-exports
pub use utils::to_gaussian_similarity;
Modules
Structs
Embedding of diffusion map technique
Diffusion map hyperparameters
Diffusion map hyperparameters
Fitted Principal Component Analysis model
Pincipal Component Analysis parameters