Results of a training epoch. More...

#include <sb.h>

Collaboration diagram for sb_t_svl_res_epoch:

Data Fields
float	loss
	SVL loss. More...

float	validation_loss
	SVL validation loss. More...

sb_t_metrics	metrics
	SVL metrics. More...

sb_t_metrics	validation_metrics
	SVL validation metrics. More...

Detailed Description

Results of a training epoch.

Used only by Deep Surface and Deep Cortex projects.

Definition at line 14329 of file sb.h.

Field Documentation

◆ loss

float sb_t_svl_res_epoch::loss

SVL loss.

Average batch training loss of the epoch.
It is a measure of the error between predictions and ground truth values on training images at the end of an epoch.
The value is available only in global results.

Note: SVL loss is not computed for each model.

Definition at line 14338 of file sb.h.

◆ metrics

sb_t_metrics sb_t_svl_res_epoch::metrics

SVL metrics.

SVL metrics of the epoch. All the metrics are computed by a weighted average of all the batch metrics in the epoch.

Attention: The values may differ from sb_t_stat::metrics computed on SVL images at detection time. Mainly the differences are caused by the perturbations, if enabled.

Definition at line 14354 of file sb.h.

◆ validation_loss

float sb_t_svl_res_epoch::validation_loss

SVL validation loss.

Average batch validation loss of the epoch.
It is a measure of the error between predictions and ground truth values on validation images at the end of an epoch. If sb_t_svl_dl_par::validation_percentage = 0, it is equal to zero.
The value is available only in global results.

Note: SVL validation loss is not computed for each model.

Definition at line 14347 of file sb.h.

◆ validation_metrics

sb_t_metrics sb_t_svl_res_epoch::validation_metrics

SVL validation metrics.

SVL validation metrics of the epoch. All the metrics are computed by a weighted average of all validation batch metrics in the epoch.
If sb_t_svl_dl_par::validation_percentage = 0, all the metrics are equal to -SB_VALUE_NOT_SET .

Attention: The values may differ from sb_t_stat::metrics computed on validation images at detection time.

Definition at line 14361 of file sb.h.

The documentation for this struct was generated from the following file: