ebl::gd_param Class Reference
#include <ebl_states.h>
Inheritance diagram for ebl::gd_param:
Public Member Functions | |
| gd_param () | |
| Empty constructor, set all variables to zero. | |
| gd_param (double leta, double ln, double l1, double l2, intg dtime, double iner, double a_v, intg a_p, double g_t) | |
| Constructor. | |
Public Attributes | |
| double | eta |
| global step size | |
| double | n |
| stopping criterion threshold | |
| double | decay_l1 |
| L1 regularizer coefficient. | |
| double | decay_l2 |
| L2 regularizer coefficient. | |
| intg | decay_time |
| Time (in number of training samples) after which to decay values. | |
| double | inertia |
| momentum term | |
| double | anneal_value |
| annealing coefficient for the learning rate | |
| intg | anneal_period |
| Number of training samples beetween two annealings. | |
| double | gradient_threshold |
| threshold on square norm of gradient for stopping | |
| int | niter_done |
| for debugging purpose | |
Detailed Description
A class that contains all the parameters for a stochastic gradient descent update, including step sizes, regularizer coefficients...
The documentation for this class was generated from the following files:
- /home/rex/ebltrunk/core/libeblearn/include/ebl_states.h
- /home/rex/ebltrunk/core/libeblearn/src/ebl_states.cpp
