---

gnn_gradient_descent.h File Reference

#include "gnn_trainer.h"

Include dependency graph for gnn_gradient_descent.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Functions
gnn_trainer *	gnn_gradient_descent_new (gnn_node *node, gnn_criterion *crit, gnn_dataset *data, double mu)
	Creates a new gradient descent trainer.
double	gnn_gradient_descent_get_mu (gnn_trainer *trainer)
	Gets the learning rate.
int	gnn_gradient_descent_set_mu (gnn_trainer *trainer, double mu)
	Sets the learning rate.

---

Function Documentation

double gnn_gradient_descent_get_mu (  gnn_trainer *    trainer )

This function returns the learning rate used by the gradient descent trainer. Parameters: trainer  A pointer to a gnn_gradient_descent. Returns: Returns the learning rate . Definition at line 244 of file gnn_gradient_descent.c.

gnn_trainer* gnn_gradient_descent_new (  gnn_node *    node, gnn_criterion *    crit, gnn_dataset *    data, double    mu )

This function creates a new gradient descent trainer (gnn_gradient_descent). It uses the learning rate given by "mu". Parameters: node  A pointer to a gnn_node. crit  A pointer to a gnn_criterion : Basic Criterion Function.. data  A pointer to a gnn_dataset : Datasets for Training.. mu  The learning rate . Returns: Returns a pointer to a new gnn_gradient_descent trainer. Definition at line 179 of file gnn_gradient_descent.c.

int gnn_gradient_descent_set_mu (  gnn_trainer *    trainer, double    mu )

This function sets a new value for the learning rate used by the gradient descent trainer. The learning rate should be strictly positive. Parameters: trainer  A pointer to a gnn_gradient_descent. mu  The learning rate . Returns: Returns 0 if suceeded. Definition at line 266 of file gnn_gradient_descent.c.

---