`shrinkage::Solver`

Shrinkage for Rust · rust · 0.3.0

Source: src/solver.rs

pub trait Solver<P>

A solver for a supported problem type.

Implementations own their compatibility bounds and result and error types. Unsupported typed combinations have no implementation. Runtime selections may return FitError::UnsupportedCombination with a supported alternative.

Associated types

`Error`

Source: src/solver.rs

type Error;

Input, numerical, or backend failure.

`Fit`

Source: src/solver.rs

type Fit;

Owned result returned after fitting.

Methods

`solve`

Source: src/solver.rs

fn solve(
    &self,
    problem: &P
) -> Result<<Self as Solver>::Fit, <Self as Solver>::Error>

Fit a problem using this solver.

Errors

Returns an error if validation or a required numerical operation fails.

Implementation of Solver

Source: src/problem/runtime.rs

impl Solver<Problem<Box<dyn RuntimeDesign + '_>, Box<dyn SmoothDatafit<Error = FitError> + '_>, Box<dyn ProximalPenalty<Error = FitError> + '_>>> for shrinkage::CoordinateDescent

Implementation of Solver

Source: src/problem/runtime.rs

impl<D: SmoothDatafit, P: ProximalPenalty> Solver<Problem<Box<dyn RuntimeDesign + '_>, D, P>> for shrinkage::ProximalGradient<Vec<f64>>

Implementation of Solver

Source: src/solver/proximal.rs

impl<M, D, P, V> Solver<Problem<&M, D, P>> for ProximalGradient<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, D: SmoothDatafit, P: ProximalPenalty, V: ProximalVector

Implementation of Solver

Source: src/solver/irls.rs

impl<M, D, P> Solver<Problem<&M, D, P>> for Irls where M: RawColumns<f64> + ColumnStats<f64> + ?Sized, D: QuadraticModelDatafit, P: CoordinatePenalty

Implementation of Solver

Source: src/solver/proximal/multivariate.rs

impl<M, P, V> Solver<Problem<&M, MultivariateGaussian<'_>, AxisPenalty<P>>> for shrinkage::ProximalGradient<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, P: ProximalPenalty, V: ProximalVector

Implementation of Solver

Source: src/solver/hybrid/irls.rs

impl<M, V, P> Solver<Problem<&M, Binomial<'_>, P>> for HybridCoordinateDescent<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, V: ProximalVector, P: ReducedCoordinatePenalty

Implementation of Solver

Source: src/solver/hybrid.rs

impl<M, V> Solver<Problem<&M, Gaussian<'_>, ChainFusedLasso>> for HybridCoordinateDescent<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, V: ProximalVector

Implementation of Solver

Source: src/solver/hybrid.rs

impl<M, V> Solver<Problem<&M, Gaussian<'_>, ClusteredLasso>> for HybridCoordinateDescent<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, V: ProximalVector

Implementation of Solver

Source: src/solver/hybrid.rs

impl<M, V> Solver<Problem<&M, Gaussian<'_>, Slope>> for HybridCoordinateDescent<V> where M: RawColumns<f64> + ColumnStats<f64> + MatVecInto<V> + MatTransposeVecInto<V> + ?Sized, V: ProximalVector

Implementation of Solver

Source: src/problem.rs

impl<M> Solver<Problem<&M, Gaussian<'_>, L1>> for CoordinateDescent where M: RawColumns<f64> + ColumnStats<f64> + ?Sized

Implementation of Solver

Source: src/solver/proximal/multivariate.rs

impl<P: ProximalPenalty> Solver<Problem<Box<dyn RuntimeDesign + '_>, MultivariateGaussian<'_>, AxisPenalty<P>>> for shrinkage::ProximalGradient<Vec<f64>>

Implementation of Solver

Source: src/solver/hybrid.rs

impl<V> Solver<Problem<Box<dyn RuntimeDesign + '_>, Box<dyn SmoothDatafit<Error = FitError> + '_>, Box<dyn ProximalPenalty<Error = FitError> + '_>>> for HybridCoordinateDescent<V>