GenSVM/gensvm__task_8h_source.html

 #ifndef GENSVM_TASK_H
 #define GENSVM_TASK_H

 #include "gensvm_base.h"

 struct GenTask {
     KernelType kerneltype;
     int weight_idx;
     long folds;
     long ID;
     double p;
     double kappa;
     double lambda;
     double epsilon;
     double gamma;
     double coef;
     double degree;
     long max_iter;
     struct GenData *train_data;
     struct GenData *test_data;
     double performance;
 };

 struct GenTask *gensvm_init_task(void);
 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
GenTask::folds
long folds
number of folds in cross validation
Definition: gensvm_task.h:60

GenTask::coef
double coef
coef parameter for the GenModel
Definition: gensvm_task.h:74

GenTask::ID
long ID
numeric id of the task in the queue
Definition: gensvm_task.h:62

gensvm_init_task
struct GenTask * gensvm_init_task(void)
Initialize a GenTask structure.
Definition: gensvm_task.c:38

GenTask::performance
double performance
performance after cross validation
Definition: gensvm_task.h:84

GenTask::gamma
double gamma
gamma parameter for the GenModel
Definition: gensvm_task.h:72

GenTask::kerneltype
KernelType kerneltype
kerneltype parameter for the GenModel
Definition: gensvm_task.h:56

GenData
A structure to represent the data.
Definition: gensvm_base.h:57

GenTask::test_data
struct GenData * test_data
pointer to the test data (if any)
Definition: gensvm_task.h:82

GenModel
A structure to represent a single GenSVM model.
Definition: gensvm_base.h:92

GenTask::degree
double degree
degree parameter for the GenModel
Definition: gensvm_task.h:76

GenTask::lambda
double lambda
lambda parameter for the GenModel
Definition: gensvm_task.h:68

GenTask
A structure for a single task in the queue.
Definition: gensvm_task.h:55

gensvm_free_task
void gensvm_free_task(struct GenTask *t)
Free the GenTask struct.
Definition: gensvm_task.c:71

GenTask::max_iter
long max_iter
maximum number of iterations of the algorithm
Definition: gensvm_task.h:78

GenTask::kappa
double kappa
kappa parameter for the GenModel
Definition: gensvm_task.h:66

KernelType
KernelType
type of kernel used in training
Definition: gensvm_globals.h:67

gensvm_copy_task
struct GenTask * gensvm_copy_task(struct GenTask *t)
Deepcopy a GenTask struct.
Definition: gensvm_task.c:88

gensvm_base.h
Header file for gensvm_base.c.

GenTask::epsilon
double epsilon
epsilon parameter for the GenModel
Definition: gensvm_task.h:70

GenTask::p
double p
p parameter for the GenModel
Definition: gensvm_task.h:64

GenTask::train_data
struct GenData * train_data
pointer to the training data
Definition: gensvm_task.h:80

gensvm_task_to_model
void gensvm_task_to_model(struct GenTask *task, struct GenModel *model)
Copy parameters from GenTask to GenModel.
Definition: gensvm_task.c:122

GenTask::weight_idx
int weight_idx
weight_idx parameter for the GenModel
Definition: gensvm_task.h:58