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KernelSVM

oxilean_std::statistical_learning::types

Struct KernelSVM 

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pub struct KernelSVM {
    pub alphas: Vec<f64>,
    pub labels: Vec<f64>,
    pub bias: f64,
    pub c: f64,
}
Expand description

Kernel SVM dual representation.

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§alphas: Vec<f64>

Dual variables α_i.

§labels: Vec<f64>

Labels y_i ∈ {-1, +1}.

§bias: f64

Bias term b.

§c: f64

Regularization parameter C.

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impl KernelSVM

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pub fn new(n: usize, c: f64) -> Self

Create a new kernel SVM (initialized to zero weights).

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pub fn predict(&self, kernel_vals: &[f64]) -> f64

Decision function: f(x) = Σ α_i y_i k(x_i, x) + b.

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