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/**
* @file gensvm_task.h
* @author G.J.J. van den Burg
* @date 2013-08-01
* @brief Header file for gensvm_task.c
*
* @details
* The grid search for the optimal parameters is done through a queue.
* This file contains struct definitions for the tasks in the queue.
* Initialization and free functions are also included.
*
* @copyright
Copyright 2016, G.J.J. van den Burg.
This file is part of GenSVM.
GenSVM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
GenSVM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with GenSVM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef GENSVM_TASK_H
#define GENSVM_TASK_H
#include "gensvm_base.h"
/**
* @brief A structure for a single task in the queue.
*
* @param folds number of folds in cross validation
* @param ID numeric id of the task in the queue
* @param weight_idx parameter for the GenModel
* @param p parameter for the GenModel
* @param kappa parameter for the GenModel
* @param lambda parameter for the GenModel
* @param epsilon parameter for the GenModel
* @param kerneltype parameter for the GenModel
* @param gamma parameter for the GenModel
* @param coef parameter for the GenModel
* @param degree parameter for the GenModel
* @param train_data pointer to the training data
* @param test_data pointer to the test data (if any)
* @param performance performance after cross validation
*/
struct GenTask {
KernelType kerneltype;
///< kerneltype parameter for the GenModel
int weight_idx;
///< weight_idx parameter for the GenModel
long folds;
///< number of folds in cross validation
long ID;
///< numeric id of the task in the queue
double p;
///< p parameter for the GenModel
double kappa;
///< kappa parameter for the GenModel
double lambda;
///< lambda parameter for the GenModel
double epsilon;
///< epsilon parameter for the GenModel
double gamma;
///< gamma parameter for the GenModel
double coef;
///< coef parameter for the GenModel
double degree;
///< degree parameter for the GenModel
struct GenData *train_data;
///< pointer to the training data
struct GenData *test_data;
///< pointer to the test data (if any)
double performance;
///< performance after cross validation
};
struct GenTask *gensvm_init_task();
struct GenTask *gensvm_copy_task(struct GenTask *t);
void gensvm_free_task(struct GenTask *t);
void gensvm_task_to_model(struct GenTask *task, struct GenModel *model);
#endif
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