Crate linfa_linear[−][src]
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)
Examples
There is an usage example in the examples/
directory. To run, use:
$ cargo run --features openblas --example diabetes
$ cargo run --example glm
Structs
FittedLinearRegression | A fitted linear regression model which can be used for making predictions. |
FittedTweedieRegressor | Fitted Tweedie regressor model for scoring |
LinearRegression | An ordinary least squares linear regression model. |
TweedieRegressor | Generalized Linear Model (GLM) with a Tweedie distribution |
Enums
LinearError | An error when modeling a Linear algorithm |
Link | Link functions used by GLM |
Traits
Float |
Type Definitions
Result |