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 CUDA functions for generating the q
vector.
More...
#include "plssvm/constants.hpp"
Namespaces | |
plssvm | |
The main namespace containing all public API functions. | |
plssvm::cuda | |
Namespace containing the C-SVM using the CUDA backend. | |
Functions | |
template<typename real_type > | |
__global__ void | plssvm::cuda::device_kernel_q_linear (real_type *q, const real_type *data_d, const real_type *data_last, const kernel_index_type num_rows, const kernel_index_type feature_range) |
Calculates the q vector using the linear C-SVM kernel. More... | |
template<typename real_type > | |
__global__ void | plssvm::cuda::device_kernel_q_polynomial (real_type *q, const real_type *data_d, const real_type *data_last, const kernel_index_type num_rows, const kernel_index_type num_cols, const int degree, const real_type gamma, const real_type coef0) |
Calculates the q vector using the polynomial C-SVM kernel. More... | |
template<typename real_type > | |
__global__ void | plssvm::cuda::device_kernel_q_rbf (real_type *q, const real_type *data_d, const real_type *data_last, const kernel_index_type num_rows, const kernel_index_type num_cols, const real_type gamma) |
Calculates the q vector using the radial basis functions C-SVM kernel. More... | |
Defines CUDA functions for generating the q
vector.