[][src]Trait liblinear::LibLinearParameter

pub trait LibLinearParameter: Clone {
    fn solver_type(&self) -> SolverType;
fn stopping_criterion(&self) -> f64;
fn constraints_violation_cost(&self) -> f64;
fn regression_loss_sensitivity(&self) -> f64; }

Represents the tunable parameters of a model.

Required methods

fn solver_type(&self) -> SolverType

Solver used for classification or regression.

fn stopping_criterion(&self) -> f64

Tolerance of termination criterion for optimization (parameter e).

fn constraints_violation_cost(&self) -> f64

Cost of constraints violation (parameter C).

Rules the trade-off between regularization and correct classification on data. It can be seen as the inverse of a regularization constant.

fn regression_loss_sensitivity(&self) -> f64

Sensitivity of loss of support vector regression (parameter p).

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Implementors

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