rs-ml

ML framework for the rust programming language. It includes traits for transfomers, models, and an implementation for scalers, and a gaussian Naive Bayesian classifier.

Usage

This library requires a compute backend to perform matrix operations. Compute backends are exposed with provided feature flags. Refer to the ndarray_linalg docs for more information.

lib.rs:

rs-ml is a simple ML framework for the Rust language. it includes train test splitting, scalers, and a guassian naive bayes model. It also includes traits to add more transfomers and models to the framework.

Usage

This library requires a compute backend to perform matrix operations. Compute backends are exposed with provided feature flags. Refer to the ndarray_linalg docs for more information.