ArgsPred Struct Reference

Parameters for initialising and operating predictions. More...

#include <prediction.h>

Collaboration diagram for ArgsPred:

Data Fields
int	type
	Classifier prediction type: least squares, etc.
bool	evolve_eta
	Whether to evolve the gradient descent rate.
double	eta
	Gradient descent rate.
double	eta_min
	Minimum gradient descent rate.
double	lambda
	RLS forget rate.
double	scale_factor
	Initial values for the RLS gain-matrix.
double	x0
	Prediction weight vector offset value.
struct ArgsLayer *	largs
	Linked-list of layer parameters.

Detailed Description

Parameters for initialising and operating predictions.

Definition at line 50 of file prediction.h.

Field Documentation

eta

double ArgsPred::eta

Gradient descent rate.

Definition at line 53 of file prediction.h.

Referenced by pred_nlms_param_json_export(), pred_param_load(), and pred_param_save().

eta_min

double ArgsPred::eta_min

Minimum gradient descent rate.

Definition at line 54 of file prediction.h.

Referenced by pred_nlms_param_json_export(), pred_param_load(), and pred_param_save().

evolve_eta

bool ArgsPred::evolve_eta

Whether to evolve the gradient descent rate.

Definition at line 52 of file prediction.h.

Referenced by pred_nlms_param_json_export(), pred_param_load(), and pred_param_save().

lambda

double ArgsPred::lambda

RLS forget rate.

Definition at line 55 of file prediction.h.

Referenced by pred_param_load(), pred_param_save(), and pred_rls_param_json_export().

largs

struct ArgsLayer* ArgsPred::largs

Linked-list of layer parameters.

Definition at line 58 of file prediction.h.

Referenced by pred_param_load(), and pred_param_save().

scale_factor

double ArgsPred::scale_factor

Initial values for the RLS gain-matrix.

Definition at line 56 of file prediction.h.

Referenced by pred_param_load(), pred_param_save(), and pred_rls_param_json_export().

type

int ArgsPred::type

Classifier prediction type: least squares, etc.

Definition at line 51 of file prediction.h.

Referenced by pred_param_json_export(), pred_param_load(), pred_param_save(), and pred_param_set_type_string().

x0

double ArgsPred::x0

Prediction weight vector offset value.

Definition at line 57 of file prediction.h.

Referenced by pred_nlms_param_json_export(), pred_param_load(), pred_param_save(), and pred_rls_param_json_export().

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

• prediction.h