Crate linfa_linear

linfa-linear aims to provide pure Rust implementations of popular linear regression algorithms.

The Big Picture

linfa-linear 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-linear currently provides an implementation of the following regression algorithms:

• Ordinary Least Squares
• Generalized Linear Models (GLM)
• Isotonic

Examples

There is an usage example in the examples/ directory. To run, use:

$ cargo run --features openblas --example diabetes
$ cargo run --example glm

Structs

• FittedIsotonicRegression
  A fitted isotonic regression model which can be used for making predictions.
• FittedLinearRegression
  A fitted linear regression model which can be used for making predictions.
• IsotonicRegression
  An isotonic regression model.
• LinearRegression
  An ordinary least squares linear regression model.
• TweedieRegressor
  Generalized Linear Model (GLM) with a Tweedie distribution
• TweedieRegressorParams
  The set of hyperparameters that can be specified for the execution of the Tweedie Regressor.
• TweedieRegressorValidParams
  The set of hyperparameters that can be specified for the execution of the Tweedie Regressor.

Enums

• LinearError
  An error when modeling a Linear algorithm
• Link
  Link functions used by GLM

Traits

• Float

Type Aliases

• Result