Struct rustlearn::svm::libsvm::svc::Hyperparameters

pub struct Hyperparameters {
    // some fields omitted
}

Hyperparameters for the SVC model.

Methods

impl Hyperparameters

fn new(dim: usize, kernel: KernelType, num_classes: usize) -> Hyperparameters

fn C(&mut self, C: f64) -> &mut Hyperparameters

Set the regularization parameter C; smaller values mean more regularization. Default is 1.0.

fn degree(&mut self, degree: i32) -> &mut Hyperparameters

Set the degree of the polynomial kernel. No effect on other kernels. Default: 3.

fn gamma(&mut self, gamma: f64) -> &mut Hyperparameters

Set the gamma parameter of the RBF kernel. Default is 1 / self.dim.

fn coef0(&mut self, coef0: f64) -> &mut Hyperparameters

Set the coef0 parameter for the sigmoid kernel. Default is 0.0.

fn cache_size(&mut self, cache_size: f64) -> &mut Hyperparameters

Set the libsvm cache size, in megabytes. Default is 100.0.

fn build(&self) -> SVC

Build the SVC model. libsvm natively supports multiclass problems via one-vs-one (OvO) estimation, so no one-vs-rest wrapper is provided.

Trait Implementations

impl Clone for Hyperparameters

fn clone(&self) -> Hyperparameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Decodable for Hyperparameters

fn decode<__D: Decoder>(__arg_0: &mut __D) -> Result<Hyperparameters, __D::Error>

impl Encodable for Hyperparameters

fn encode<__S: Encoder>(&self, __arg_0: &mut __S) -> Result<(), __S::Error>