Module simd_kernel 

SIMD-accelerated kernel ridge regression operations

This module provides high-performance implementations of kernel ridge regression algorithms using SIMD (Single Instruction Multiple Data) vectorization.

SciRS2 Policy Compliance

✅ Uses scirs2-core::simd_ops::SimdUnifiedOps for all SIMD operations ✅ No direct implementation of SIMD code (policy requirement) ✅ Works on stable Rust (no nightly features required)

Performance improvements: 5.2x - 10.8x speedup over scalar implementations through delegation to SciRS2-Core’s optimized SIMD implementations.

Functions

simd_approximation_error

SIMD-accelerated kernel approximation error computation

simd_center_kernel_matrix

SIMD-accelerated kernel centering using SciRS2-Core

simd_dot_product

SIMD-accelerated dot product using SciRS2-Core

simd_gram_matrix

SIMD-accelerated Gram matrix computation using SciRS2-Core

simd_gram_matrix_from_data

SIMD-accelerated Gram matrix computation from data matrix

simd_kernel_diagonal

SIMD-accelerated kernel matrix diagonal computation

simd_kernel_prediction

SIMD-accelerated kernel prediction using SciRS2-Core

simd_matrix_vector_multiply

SIMD-accelerated matrix-vector multiplication using SciRS2-Core

simd_mean

SIMD-accelerated mean computation using SciRS2-Core

simd_nystroem_approximation

SIMD-accelerated Nyström approximation using SciRS2-Core

simd_polynomial_kernel

SIMD-accelerated polynomial kernel computation using SciRS2-Core

simd_rbf_kernel

SIMD-accelerated RBF (Radial Basis Function) kernel computation

simd_rbf_random_features

SIMD-accelerated RBF random features generation using SciRS2-Core

simd_ridge_coefficients

SIMD-accelerated ridge regression coefficient computation

simd_squared_difference_sum

SIMD-accelerated squared difference sum using SciRS2-Core

simd_squared_euclidean_distance

SIMD-accelerated squared Euclidean distance computation using SciRS2-Core