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    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 functions used for prediction for the C-SVM using the HIP backend. More...
Go to the source code of this file.
Namespaces | |
| plssvm | |
| The main namespace containing all public API functions.  | |
| plssvm::hip | |
| Namespace containing the C-SVM using the HIP backend.  | |
Functions | |
| template<typename real_type > | |
| __global__ void | plssvm::hip::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::hip::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::hip::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... | |
Defines the functions used for prediction for the C-SVM using the HIP backend.