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.

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.