Struct ndarray_glm::model::ModelBuilderData
source · [−]pub struct ModelBuilderData<'a, M, Y, F> where
M: Glm,
Y: Response<M>,
F: 'static + Float, { /* private fields */ }
Expand description
Holds the data and all the specifications for the model and provides functions to adjust the settings.
Implementations
sourceimpl<'a, M, Y, F> ModelBuilderData<'a, M, Y, F> where
M: Glm,
Y: Response<M> + Copy,
F: Float,
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
sourcepub fn linear_offset(self, linear_offset: Array1<F>) -> Self
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.
sourcepub fn no_constant(self) -> Self
pub fn no_constant(self) -> Self
Do not add a constant term to the design matrix
sourcepub fn colinear_tol(self, tol: F) -> Self
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,
Auto Trait Implementations
impl<'a, M, Y, F> RefUnwindSafe for ModelBuilderData<'a, M, Y, F> where
F: RefUnwindSafe,
M: RefUnwindSafe,
Y: RefUnwindSafe,
impl<'a, M, Y, F> Send for ModelBuilderData<'a, M, Y, F> where
F: Send + Sync,
M: Send,
Y: Sync,
impl<'a, M, Y, F> Sync for ModelBuilderData<'a, M, Y, F> where
F: Sync,
M: Sync,
Y: Sync,
impl<'a, M, Y, F> Unpin for ModelBuilderData<'a, M, Y, F> where
F: Unpin,
M: Unpin,
impl<'a, M, Y, F> UnwindSafe for ModelBuilderData<'a, M, Y, F> where
F: UnwindSafe + RefUnwindSafe,
M: UnwindSafe,
Y: RefUnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more