predict_kernel.cuh File Reference

Defines the functions used for prediction for the C-SVM using the CUDA backend. 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_w_linear (real_type *w_d, const real_type *data_d, const real_type *data_last_d, const real_type *alpha_d, const kernel_index_type num_data_points, const kernel_index_type num_features)
	Calculate the w vector to speed up the prediction of the labels for data points using the linear kernel function. More...
template<typename real_type >
__global__ void	plssvm::cuda::device_kernel_predict_polynomial (real_type *out_d, const real_type *data_d, const real_type *data_last_d, const real_type *alpha_d, const kernel_index_type num_data_points, const real_type *points, const kernel_index_type num_predict_points, const kernel_index_type num_features, const int degree, const real_type gamma, const real_type coef0)
	Predicts the labels for data points using the polynomial kernel function. More...
template<typename real_type >
__global__ void	plssvm::cuda::device_kernel_predict_rbf (real_type *out_d, const real_type *data_d, const real_type *data_last_d, const real_type *alpha_d, const kernel_index_type num_data_points, const real_type *points, const kernel_index_type num_predict_points, const kernel_index_type num_features, const real_type gamma)
	Predicts the labels for data points using the radial basis functions kernel function. More...

Detailed Description

Defines the functions used for prediction for the C-SVM using the CUDA backend.

Author

Alexander Van Craen

Marcel Breyer

Copyright

2018-today The PLSSVM project - All Rights Reserved

License

This file is part of the PLSSVM project which is released under the MIT license. See the LICENSE.md file in the project root for full license information.