PLSSVM - Parallel Least Squares Support Vector Machine
2.0.0
A Least Squares Support Vector Machine implementation using different backends.
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Defines the kernel functions for the C-SVM using the OpenMP backend. More...
#include <vector>
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Namespaces | |
plssvm | |
The main namespace containing all public API functions. | |
plssvm::openmp | |
Namespace containing the C-SVM using the OpenMP backend. | |
Functions | |
template<typename real_type > | |
void | plssvm::openmp::device_kernel_linear (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add) |
Calculates the C-SVM kernel using the linear kernel function. More... | |
template<typename real_type > | |
void | plssvm::openmp::device_kernel_polynomial (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add, int degree, real_type gamma, real_type coef0) |
Calculates the C-SVM kernel using the polynomial kernel function. More... | |
template<typename real_type > | |
void | plssvm::openmp::device_kernel_rbf (const std::vector< real_type > &q, std::vector< real_type > &ret, const std::vector< real_type > &d, const std::vector< std::vector< real_type >> &data, real_type QA_cost, real_type cost, real_type add, real_type gamma) |
Calculates the C-SVM kernel using the radial basis function kernel function. More... | |
Defines the kernel functions for the C-SVM using the OpenMP backend.