pub struct RidgeRegressionParameters<T: Number + RealNumber> {
pub solver: RidgeRegressionSolverName,
pub alpha: T,
pub normalize: bool,
}
Expand description
Ridge Regression parameters
Fields§
§solver: RidgeRegressionSolverName
Solver to use for estimation of regression coefficients.
alpha: T
Controls the strength of the penalty to the loss function.
normalize: bool
If true the regressors X will be normalized before regression by subtracting the mean and dividing by the standard deviation.
Implementations§
source§impl<T: Number + RealNumber> RidgeRegressionParameters<T>
impl<T: Number + RealNumber> RidgeRegressionParameters<T>
sourcepub fn with_alpha(self, alpha: T) -> Self
pub fn with_alpha(self, alpha: T) -> Self
Regularization parameter.
sourcepub fn with_solver(self, solver: RidgeRegressionSolverName) -> Self
pub fn with_solver(self, solver: RidgeRegressionSolverName) -> Self
Solver to use for estimation of regression coefficients.
sourcepub fn with_normalize(self, normalize: bool) -> Self
pub fn with_normalize(self, normalize: bool) -> Self
If True, the regressors X will be normalized before regression by subtracting the mean and dividing by the standard deviation.
Trait Implementations§
source§impl<T: Clone + Number + RealNumber> Clone for RidgeRegressionParameters<T>
impl<T: Clone + Number + RealNumber> Clone for RidgeRegressionParameters<T>
source§fn clone(&self) -> RidgeRegressionParameters<T>
fn clone(&self) -> RidgeRegressionParameters<T>
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl<T: Debug + Number + RealNumber> Debug for RidgeRegressionParameters<T>
impl<T: Debug + Number + RealNumber> Debug for RidgeRegressionParameters<T>
source§impl<T: Number + RealNumber> Default for RidgeRegressionParameters<T>
impl<T: Number + RealNumber> Default for RidgeRegressionParameters<T>
source§impl<TX: Number + RealNumber, TY: Number, X: Array2<TX> + CholeskyDecomposable<TX> + SVDDecomposable<TX>, Y: Array1<TY>> SupervisedEstimator<X, Y, RidgeRegressionParameters<TX>> for RidgeRegression<TX, TY, X, Y>
impl<TX: Number + RealNumber, TY: Number, X: Array2<TX> + CholeskyDecomposable<TX> + SVDDecomposable<TX>, Y: Array1<TY>> SupervisedEstimator<X, Y, RidgeRegressionParameters<TX>> for RidgeRegression<TX, TY, X, Y>
Auto Trait Implementations§
impl<T> RefUnwindSafe for RidgeRegressionParameters<T>where T: RefUnwindSafe,
impl<T> Send for RidgeRegressionParameters<T>where T: Send,
impl<T> Sync for RidgeRegressionParameters<T>where T: Sync,
impl<T> Unpin for RidgeRegressionParameters<T>where T: Unpin,
impl<T> UnwindSafe for RidgeRegressionParameters<T>where T: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more