Struct WarmStartRegressorTrained 

pub struct WarmStartRegressorTrained {
    pub coef: Array2<Float>,
    pub intercept: Array1<Float>,
    pub n_features: usize,
    pub n_outputs: usize,
    pub n_iter: usize,
    pub loss_history: Vec<Float>,
    pub best_loss: Float,
    pub best_iter: usize,
    pub best_coef: Option<Array2<Float>>,
    pub best_intercept: Option<Array1<Float>>,
    pub converged: bool,
    pub config: WarmStartRegressorConfig,
}

Trained state for Warm Start Regressor

Fields

coef: Array2<Float>

Coefficient matrix

intercept: Array1<Float>

Intercept vector

n_features: usize

Number of features

n_outputs: usize

Number of outputs

n_iter: usize

Number of iterations performed

loss_history: Vec<Float>

Loss history

best_loss: Float

Best loss achieved

best_iter: usize

Best iteration

best_coef: Option<Array2<Float>>

Best coefficients (if early stopping enabled)

best_intercept: Option<Array1<Float>>

Best intercept (if early stopping enabled)

converged: bool

Whether converged

config: WarmStartRegressorConfig

Configuration

Trait Implementations

impl Clone for WarmStartRegressorTrained

fn clone(&self) -> WarmStartRegressorTrained

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WarmStartRegressorTrained

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

Formats the value using the given formatter.