[−][src]Trait liblinear::LibLinearParameter
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).