SqueezeBrains SDK 1.13
sb_cs::SbSvlSlPar Class Reference

SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure More...

#include <cs_par.h>

Data Fields

float goodness_target
 Goodness target of the training. More...
 
String features
 List of the features among which SVL will choose the best features. More...
 
SbSvlParOptimizationMode optimization_mode
 Optimization mode. More...
 
int auto_levels
 Enable the automatic surface levels training. More...
 

Detailed Description

SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure

Definition at line 544 of file cs_par.h.

Field Documentation

◆ auto_levels

int sb_cs::SbSvlSlPar::auto_levels

Enable the automatic surface levels training.

See also
sb_t_svl_sl_par::auto_levels

Definition at line 566 of file cs_par.h.

◆ features

String sb_cs::SbSvlSlPar::features

List of the features among which SVL will choose the best features.

See also
sb_t_svl_sl_par::features

Definition at line 556 of file cs_par.h.

◆ goodness_target

float sb_cs::SbSvlSlPar::goodness_target

Goodness target of the training.

See also
sb_t_svl_sl_par::goodness_target

Definition at line 551 of file cs_par.h.

◆ optimization_mode

SbSvlParOptimizationMode sb_cs::SbSvlSlPar::optimization_mode

Optimization mode.

See also
sb_t_svl_sl_par::optimization_mode

Definition at line 561 of file cs_par.h.


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