Struct LinearRegressionBuilder

pub struct LinearRegressionBuilder { /* private fields */ }

Builder for creating LinearRegression models with customizable configurations.

The LinearRegressionBuilder provides methods to configure the properties of a LinearRegression model before it is instantiated, following the Builder design pattern.

Fields

• n_x - The number of input features for the linear regression model

Examples

Implementations

impl LinearRegressionBuilder

pub fn new() -> Self

Creates a new LinearRegressionBuilder with default parameter values.

The default number of input features is set to 0 and must be configured before building the model.

Returns

• Self - A new LinearRegressionBuilder instance with default settings

pub fn n_input_features(&mut self, n_x: usize) -> &mut Self

Sets the number of input features for the linear regression model.

Arguments

• n_x - The number of independent variables (features) in the input data

Returns

• &mut Self - Reference to self for method chaining

Trait Implementations

impl Builder<LinearRegression, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for LinearRegressionBuilder

fn build(&self) -> Result<LinearRegression, ModelError>

Builds and returns a new LinearRegression model with the configured parameters.

Returns

• Result<LinearRegression, ModelError> - A new LinearRegression instance with the specified number of input features, or an error if construction fails

impl Default for LinearRegressionBuilder

fn default() -> Self

Creates a new LinearRegressionBuilder with default parameter values.

The default number of input features is set to 0 and must be configured before building the model.

Returns

• Self - A new LinearRegressionBuilder instance with default settings