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

pub fn clone(&self) -> LinearRegressionParameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LinearRegressionParameters

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

Formats the value using the given formatter.

impl Default for LinearRegressionParameters

pub fn default() -> Self

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for LinearRegressionParameters

pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Serialize for LinearRegressionParameters

pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl<T: RealNumber, M: Matrix<T>> SupervisedEstimator<M, <M as BaseMatrix<T>>::RowVector, LinearRegressionParameters> for LinearRegression<T, M>

pub fn fit(
    x: &M,
    y: &M::RowVector,
    parameters: LinearRegressionParameters
) -> Result<Self, Failed>

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