Struct Status 

pub struct Status {
    pub a: Vec<f64>,
    pub b: f64,
    pub c: f64,
    pub asum: f64,
    pub value: f64,
    pub ka: Vec<f64>,
    pub g: Vec<f64>,
    pub opt_status: OptimizationStatus,
}

A struct containing information about the current point and state of the optimization routine

Fields

a: Vec<f64>

Vector of coefficients (typically called α in the literature)

b: f64

Value of offset (bias) of the decision function

c: f64

Value of additional shift of the decision function depending on the monotonicity of the loss function (applied in ν-SVM approach)

asum: f64

1-norm of the coefficient vector

value: f64

Objective function value

ka: Vec<f64>

Helper vector containing product of kernel matrix with coeffient vector (scaled by λ⁻¹)

g: Vec<f64>

Helper vector containing values of first-order derivatives

opt_status: OptimizationStatus

Optimization status

Implementations

impl Status

pub fn new(n: usize) -> Self

Create a Status struct with default initialization for n samples

pub fn find_support<T: Clone>(&self, data: &Vec<T>) -> (Status, Vec<T>)

Determine support vectors and reduce the training set

Trait Implementations

impl Clone for Status

fn clone(&self) -> Status

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Status

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Status

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Status

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.