Crate rs_ml

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.

Modules

classification

Commonly used classification models and trait to implement more.

metrics

Commonly used metrics for classification and regression models.

regression

Regression

transformer

Abilities to transform and scale data.

Traits

Estimator

Trait for fitting classification and regression models, and transformers.

Functions

train_test_split

Split data and features into training and testing set. test_size must be between 0 and 1. Panics if test_size is outside 0 and 1.