A structure for a single task in the queue. More...
#include <gensvm_task.h>
Public Attributes | |
| KernelType | kerneltype |
| kerneltype parameter for the GenModel More... | |
| int | weight_idx |
| weight_idx parameter for the GenModel More... | |
| long | folds |
| number of folds in cross validation More... | |
| long | ID |
| numeric id of the task in the queue More... | |
| double | p |
| p parameter for the GenModel More... | |
| double | kappa |
| kappa parameter for the GenModel More... | |
| double | lambda |
| lambda parameter for the GenModel More... | |
| double | epsilon |
| epsilon parameter for the GenModel More... | |
| double | gamma |
| gamma parameter for the GenModel More... | |
| double | coef |
| coef parameter for the GenModel More... | |
| double | degree |
| degree parameter for the GenModel More... | |
| long | max_iter |
| maximum number of iterations of the algorithm More... | |
| struct GenData * | train_data |
| pointer to the training data More... | |
| struct GenData * | test_data |
| pointer to the test data (if any) More... | |
| double | performance |
| performance after cross validation More... | |
Detailed Description
A structure for a single task in the queue.
- Parameters
-
folds number of folds in cross validation ID numeric id of the task in the queue weight_idx parameter for the GenModel p parameter for the GenModel kappa parameter for the GenModel lambda parameter for the GenModel epsilon parameter for the GenModel kerneltype parameter for the GenModel gamma parameter for the GenModel coef parameter for the GenModel degree parameter for the GenModel train_data pointer to the training data test_data pointer to the test data (if any) performance performance after cross validation
Definition at line 55 of file gensvm_task.h.
Member Data Documentation
◆ coef
| double GenTask::coef |
coef parameter for the GenModel
Definition at line 74 of file gensvm_task.h.
◆ degree
| double GenTask::degree |
degree parameter for the GenModel
Definition at line 76 of file gensvm_task.h.
◆ epsilon
| double GenTask::epsilon |
epsilon parameter for the GenModel
Definition at line 70 of file gensvm_task.h.
◆ folds
| long GenTask::folds |
number of folds in cross validation
Definition at line 60 of file gensvm_task.h.
◆ gamma
| double GenTask::gamma |
gamma parameter for the GenModel
Definition at line 72 of file gensvm_task.h.
◆ ID
| long GenTask::ID |
numeric id of the task in the queue
Definition at line 62 of file gensvm_task.h.
◆ kappa
| double GenTask::kappa |
kappa parameter for the GenModel
Definition at line 66 of file gensvm_task.h.
◆ kerneltype
| KernelType GenTask::kerneltype |
kerneltype parameter for the GenModel
Definition at line 56 of file gensvm_task.h.
◆ lambda
| double GenTask::lambda |
lambda parameter for the GenModel
Definition at line 68 of file gensvm_task.h.
◆ max_iter
| long GenTask::max_iter |
maximum number of iterations of the algorithm
Definition at line 78 of file gensvm_task.h.
◆ p
| double GenTask::p |
p parameter for the GenModel
Definition at line 64 of file gensvm_task.h.
◆ performance
| double GenTask::performance |
performance after cross validation
Definition at line 84 of file gensvm_task.h.
◆ test_data
| struct GenData* GenTask::test_data |
pointer to the test data (if any)
Definition at line 82 of file gensvm_task.h.
◆ train_data
| struct GenData* GenTask::train_data |
pointer to the training data
Definition at line 80 of file gensvm_task.h.
◆ weight_idx
| int GenTask::weight_idx |
weight_idx parameter for the GenModel
Definition at line 58 of file gensvm_task.h.
The documentation for this struct was generated from the following file:
- include/gensvm_task.h
