SGD Class Reference

Public Member Functions
	SGD (PredictiveModel *mdl, double(*loss_funct)(const vector< double > &got, const vector< float > &y, const vector< float > *weights))
void	Learn (const vector< vector< float > > &xData, const vector< float > &yData, int T_Steps, const vector< float > *weights=NULL, bool print_auc=false)
void	set_gradient_params (int samplePointCnt, float h, int minSampForCat=0)
void	set_learing_rate (float val)
void	set_learing (float blockVals, float blockDerivate, int T_steps)
void	set_special_step_func (double(*function)(const vector< double > &, const vector< float > &, const vector< double > &, const vector< float > *))
void	set_blocking (float val)
void	set_model_precision (double val)
double	get_model_precision ()
float	get_learing_rate ()
float	get_learing_eppsilon (float blockVals, float blockDerivate, int T_steps)
PredictiveModel *	get_model ()
float	get_blocking ()

Data Fields
double(*	subGradientI )(int param_number, const vector< double > &param_values, const vector< vector< float > > &x, const vector< float > &y, const vector< float > *weights)
size_t	output_num
bool	norm_l1

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

• Internal/MedAlgo/MedAlgo/SGD.h
• Internal/MedAlgo/MedAlgo/SGD.cpp