Struct SvmModel 

pub struct SvmModel {
    pub param: SvmParameter,
    pub nr_class: usize,
    pub sv: Vec<Vec<SvmNode>>,
    pub sv_coef: Vec<Vec<f64>>,
    pub rho: Vec<f64>,
    pub prob_a: Vec<f64>,
    pub prob_b: Vec<f64>,
    pub prob_density_marks: Vec<f64>,
    pub sv_indices: Vec<usize>,
    pub label: Vec<i32>,
    pub n_sv: Vec<usize>,
}

A trained SVM model.

Produced by training, or loaded from a LIBSVM model file.

Fields

param: SvmParameter

Parameters used during training.

nr_class: usize

Number of classes (2 for binary, >2 for multiclass, 2 for regression).

sv: Vec<Vec<SvmNode>>

Support vectors (sparse feature vectors).

sv_coef: Vec<Vec<f64>>

Support vector coefficients. For k classes, this is a (k-1) × num_sv matrix stored as Vec<Vec<f64>>.

rho: Vec<f64>

Bias terms (rho). One per class pair: k*(k-1)/2 values.

prob_a: Vec<f64>

Pairwise probability parameter A (Platt scaling). Empty if not trained with probability estimates.

prob_b: Vec<f64>

Pairwise probability parameter B (Platt scaling). Empty if not trained with probability estimates.

prob_density_marks: Vec<f64>

Probability density marks (for one-class SVM).

sv_indices: Vec<usize>

Original indices of support vectors in the training set (1-based).

label: Vec<i32>

Class labels (in the order used internally).

n_sv: Vec<usize>

Number of support vectors per class.

Trait Implementations

impl Clone for SvmModel

fn clone(&self) -> SvmModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SvmModel

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

Formats the value using the given formatter.

impl PartialEq for SvmModel

fn eq(&self, other: &SvmModel) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for SvmModel