Struct smartcore::linear::linear_regression::LinearRegressionParameters

pub struct LinearRegressionParameters {
    pub solver: LinearRegressionSolverName,
}

Linear Regression parameters

Fields

solver: LinearRegressionSolverName

Solver to use for estimation of regression coefficients.

Implementations

impl LinearRegressionParameters

pub fn with_solver(self, solver: LinearRegressionSolverName) -> Self

Solver to use for estimation of regression coefficients.

Trait Implementations

impl Clone for LinearRegressionParameters

fn clone(&self) -> LinearRegressionParameters

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LinearRegressionParameters

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for LinearRegressionParameters

fn default() -> Self

Returns the “default value” for a type.

impl<TX: Number + RealNumber, TY: Number, X: Array2<TX> + QRDecomposable<TX> + SVDDecomposable<TX>, Y: Array1<TY>> SupervisedEstimator<X, Y, LinearRegressionParameters> for LinearRegression<TX, TY, X, Y>

fn new() -> Self

Empty constructor, instantiate an empty estimator. Object is dropped as soon as fit() is called. used to pass around the correct fit() implementation. by calling ::fit(). mostly used to be used with model_selection::cross_validate(...)

fn fit(
    x: &X,
    y: &Y,
    parameters: LinearRegressionParameters
) -> Result<Self, Failed>

Fit a model to a training dataset, estimate model’s parameters.