Struct ndarray_glm::model::ModelBuilderData

pub struct ModelBuilderData<'a, M, Y, F> where
    M: Glm,
    Y: Response<M>,
    F: 'static + Float,  { /* fields omitted */ }

Holds the data and all the specifications for the model and provides functions to adjust the settings.

Implementations

impl<'a, M, Y, F> ModelBuilderData<'a, M, Y, F> where
    M: Glm,
    Y: Response<M> + Copy,
    F: Float, 

A builder to generate a Model object

pub fn linear_offset(self, linear_offset: Array1<F>) -> Self

Represents an offset added to the linear predictor for each data point. This can be used to control for fixed effects or in multi-level models.

pub fn no_constant(self) -> Self

Do not add a constant term to the design matrix

pub fn colinear_tol(self, tol: F) -> Self

Set the tolerance for the co-linearity check. The check can be effectively disabled by setting the tolerance to a negative value.

pub fn build(self) -> RegressionResult<Model<M, F>> where
    M: Glm,
    F: Float,