tensorlogic_sklears_kernels::composite_kernel

Struct KernelAlignment

pub struct KernelAlignment;

Expand description

Kernel alignment computation for measuring similarity between kernels.

Kernel alignment measures how well two kernels agree on a dataset. It’s useful for kernel selection and meta-learning.

§Formula

A(K1, K2) = <K1, K2>_F / (||K1||_F * ||K2||_F)

Where <·,·>_F is the Frobenius inner product and ||·||_F is the Frobenius norm.

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impl KernelAlignment

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pub fn compute_alignment(k1: &[Vec<f64>], k2: &[Vec<f64>]) -> Result<f64>

Compute centered kernel alignment between two kernel matrices

§Arguments

k1 - First kernel matrix
k2 - Second kernel matrix

§Returns

Alignment score in range [-1, 1], where 1 means perfect alignment

Auto Trait Implementations§

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impl UnwindSafe for KernelAlignment

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