Preprocessing

The Big Picture

linfa-preprocessing 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-preprocessing provides a pure Rust implementation of:

Standard scaling
Min-max scaling
Max Abs Scaling
Normalization
Count vectorization
TfIdf vectorization
Whitening

Examples

There are various usage examples in the examples/ directory. To run, use:

$ cargo run --release --example count_vectorization

$ cargo run --release --example tfidf_vectorization

$ cargo run --release --example scaling

$ cargo run --release --example whitening

BLAS/Lapack backend

See this section to enable an external BLAS/LAPACK backend.

License

Dual-licensed to be compatible with the Rust project.