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.
linfa-preprocessing provides a pure Rust implementation of:
- Standard scaling
- Min-max scaling
- Max Abs Scaling
- Normalization
- Count vectorization
- TfIdf vectorization
- Whitening
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 whiteningSee this section to enable an external BLAS/LAPACK backend.
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.