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ThunderSVM
ThunderSVM: An Open-Source SVM Library on GPUs and CPUs
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This is the complete list of members for SVR, including all inherited members.
| coef | SvmModel | protected |
| cross_validation(DataSet dataset, SvmParam param, int n_fold) | SvmModel | virtual |
| label | SvmModel | protected |
| load_from_file(string path) | SvmModel | virtual |
| model_setup(const DataSet &dataset, SvmParam ¶m) | SvmModel | protectedvirtual |
| n_binary_models | SvmModel | protected |
| n_classes | SvmModel | protected |
| n_sv | SvmModel | protected |
| n_total_sv | SvmModel | protected |
| param (defined in SvmModel) | SvmModel | protected |
| predict(const DataSet::node2d &instances, int batch_size) | SvmModel | virtual |
| predict_dec_values(const DataSet::node2d &instances, SyncArray< float_type > &dec_values, int batch_size) const | SvmModel | |
| probA | SvmModel | protected |
| probB | SvmModel | protected |
| rho | SvmModel | protected |
| save_svr_coef(const SyncArray< float_type > &alpha_2, const DataSet::node2d &instances) | SVR | protected |
| save_to_file(string path) | SvmModel | virtual |
| sv | SvmModel | protected |
| train(const DataSet &dataset, SvmParam param) override | SVR | virtual |
1.8.13