Struct ndarray_glm::model::Model

pub struct Model<M, F> where
    M: Glm,
    F: Float,  {
    pub data: Dataset<F>,
    pub use_intercept: bool,
    // some fields omitted
}

Holds the data and configuration settings for a regression.

Fields

data: Dataset<F>

The dataset

use_intercept: bool

Whether the intercept term is used (commonly true)

Implementations

impl<M, F> Model<M, F> where
    M: Glm,
    F: Float, 

pub fn fit(&self) -> RegressionResult<Fit<'_, M, F>>

Perform the regression and return a fit object holding the results.

pub fn fit_options(&self) -> FitConfig<'_, M, F>

Fit options builder interface

pub fn with_options(&self, options: FitOptions<F>) -> FitConfig<'_, M, F>

An experimental interface that would allow fit options to be set externally.