Interface for classifier predictions. More...

#include "pred_constant.h"
#include "pred_neural.h"
#include "pred_nlms.h"
#include "pred_rls.h"
#include "utils.h"

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Functions
void	prediction_set (const struct XCSF xcsf, struct Cl c)
	Sets a classifier's prediction functions to the implementations.

const char *	prediction_type_as_string (const int type)
	Returns a string representation of a prediction type from the integer.

int	prediction_type_as_int (const char *type)
	Returns the integer representation of a prediction type given a name.

void	pred_param_defaults (struct XCSF *xcsf)
	Initialises default prediction parameters.

char *	pred_param_json_export (const struct XCSF *xcsf)
	Returns a json formatted string of the prediction parameters.

char *	pred_param_json_import (struct XCSF xcsf, cJSON json)
	Sets the prediction parameters from a cJSON object.

size_t	pred_param_save (const struct XCSF xcsf, FILE fp)
	Saves prediction parameters.

size_t	pred_param_load (struct XCSF xcsf, FILE fp)
	Loads prediction parameters.

void	pred_param_free (struct XCSF *xcsf)
	Frees prediction parameters.

void	pred_transform_input (const struct XCSF xcsf, const double x, const double X0, double *tmp_input)
	Prepares the input state for least squares computation.

void	pred_param_set_eta (struct XCSF *xcsf, const double a)

void	pred_param_set_eta_min (struct XCSF *xcsf, const double a)

void	pred_param_set_lambda (struct XCSF *xcsf, const double a)

void	pred_param_set_scale_factor (struct XCSF *xcsf, const double a)

void	pred_param_set_x0 (struct XCSF *xcsf, const double a)

void	pred_param_set_evolve_eta (struct XCSF *xcsf, const bool a)

void	pred_param_set_type (struct XCSF *xcsf, const int a)

int	pred_param_set_type_string (struct XCSF xcsf, const char a)

Detailed Description

Interface for classifier predictions.

Author: Richard Preen rpree.nosp@m.n@gm.nosp@m.ail.c.nosp@m.om

Copyright: The Authors.

Date: 2015–2022.

Definition in file prediction.c.

Function Documentation

◆ pred_param_defaults()

void pred_param_defaults ( struct XCSF * xcsf )

Initialises default prediction parameters.

Parameters

[in] xcsf The XCSF data structure.

Definition at line 120 of file prediction.c.

References pred_neural_param_defaults(), pred_param_set_eta(), pred_param_set_eta_min(), pred_param_set_evolve_eta(), pred_param_set_lambda(), pred_param_set_scale_factor(), pred_param_set_type(), pred_param_set_x0(), and PRED_TYPE_NLMS_LINEAR.

Referenced by param_init().

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◆ pred_param_free()

void pred_param_free ( struct XCSF * xcsf )

Frees prediction parameters.

Parameters

[in] xcsf The XCSF data structure.

Definition at line 252 of file prediction.c.

References layer_args_free().

Referenced by param_free().

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◆ pred_param_json_export()

char * pred_param_json_export ( const struct XCSF * xcsf )

Returns a json formatted string of the prediction parameters.

Parameters

[in] xcsf XCSF data structure.

Returns: String encoded in json format.

Definition at line 138 of file prediction.c.

References layer_args_json_export(), pred_nlms_param_json_export(), pred_rls_param_json_export(), PRED_TYPE_NEURAL, PRED_TYPE_NLMS_LINEAR, PRED_TYPE_NLMS_QUADRATIC, PRED_TYPE_RLS_LINEAR, PRED_TYPE_RLS_QUADRATIC, prediction_type_as_string(), and ArgsPred::type.

Referenced by param_json_export().

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◆ pred_param_json_import()

char * pred_param_json_import	(	struct XCSF *	xcsf,
		cJSON *	json
	)

Sets the prediction parameters from a cJSON object.

Parameters

[in,out]	xcsf	XCSF data structure.
[in]	json	cJSON object.

Returns: NULL if successful; or the name of parameter if not found.

Definition at line 179 of file prediction.c.

References pred_neural_param_json_import(), pred_nlms_param_json_import(), pred_rls_param_json_import(), PRED_TYPE_CONSTANT, PRED_TYPE_NEURAL, PRED_TYPE_NLMS_LINEAR, PRED_TYPE_NLMS_QUADRATIC, PRED_TYPE_RLS_LINEAR, and PRED_TYPE_RLS_QUADRATIC.

Referenced by param_json_import_prediction().

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◆ pred_param_load()

size_t pred_param_load	(	struct XCSF *	xcsf,
		FILE *	fp
	)

Loads prediction parameters.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	fp	Pointer to the output file.

Returns: The total number of elements written.

Definition at line 232 of file prediction.c.

References ArgsPred::eta, ArgsPred::eta_min, ArgsPred::evolve_eta, ArgsPred::lambda, ArgsPred::largs, layer_args_load(), ArgsPred::scale_factor, ArgsPred::type, and ArgsPred::x0.

Referenced by param_load().

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◆ pred_param_save()

size_t pred_param_save	(	const struct XCSF *	xcsf,
		FILE *	fp
	)

Saves prediction parameters.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	fp	Pointer to the output file.

Returns: The total number of elements written.

Definition at line 210 of file prediction.c.

References ArgsPred::eta, ArgsPred::eta_min, ArgsPred::evolve_eta, ArgsPred::lambda, ArgsPred::largs, layer_args_save(), ArgsPred::scale_factor, ArgsPred::type, and ArgsPred::x0.

Referenced by param_save().

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◆ pred_param_set_eta()

void pred_param_set_eta	(	struct XCSF *	xcsf,
		const double	a
	)

Definition at line 291 of file prediction.c.

Referenced by pred_nlms_param_json_import(), and pred_param_defaults().

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◆ pred_param_set_eta_min()

void pred_param_set_eta_min	(	struct XCSF *	xcsf,
		const double	a
	)

Definition at line 305 of file prediction.c.

Referenced by pred_nlms_param_json_import(), and pred_param_defaults().

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◆ pred_param_set_evolve_eta()

void pred_param_set_evolve_eta	(	struct XCSF *	xcsf,
		const bool	a
	)

Definition at line 337 of file prediction.c.

Referenced by pred_nlms_param_json_import(), and pred_param_defaults().

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◆ pred_param_set_lambda()

void pred_param_set_lambda	(	struct XCSF *	xcsf,
		const double	a
	)

Definition at line 319 of file prediction.c.

Referenced by pred_param_defaults(), and pred_rls_param_json_import().

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◆ pred_param_set_scale_factor()

void pred_param_set_scale_factor	(	struct XCSF *	xcsf,
		const double	a
	)

Definition at line 325 of file prediction.c.

Referenced by pred_param_defaults(), and pred_rls_param_json_import().

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◆ pred_param_set_type()

void pred_param_set_type	(	struct XCSF *	xcsf,
		const int	a
	)

Definition at line 343 of file prediction.c.

Referenced by pred_param_defaults().

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◆ pred_param_set_type_string()

int pred_param_set_type_string	(	struct XCSF *	xcsf,
		const char *	a
	)

Definition at line 354 of file prediction.c.

References PRED_TYPE_INVALID, prediction_type_as_int(), and ArgsPred::type.

Referenced by param_json_import_prediction().

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◆ pred_param_set_x0()

void pred_param_set_x0	(	struct XCSF *	xcsf,
		const double	a
	)

Definition at line 331 of file prediction.c.

Referenced by pred_nlms_param_json_import(), pred_param_defaults(), and pred_rls_param_json_import().

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◆ pred_transform_input()

void pred_transform_input	(	const struct XCSF *	xcsf,
		const double *	x,
		const double	X0,
		double *	tmp_input
	)

Prepares the input state for least squares computation.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	x	The input state.
[in]	X0	Bias term.
[out]	tmp_input	The transformed input.

Definition at line 265 of file prediction.c.

References PRED_TYPE_NLMS_QUADRATIC, and PRED_TYPE_RLS_QUADRATIC.

Referenced by pred_nlms_compute(), and pred_rls_compute().

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◆ prediction_set()

void prediction_set	(	const struct XCSF *	xcsf,
		struct Cl *	c
	)

Sets a classifier's prediction functions to the implementations.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier to set.

Definition at line 36 of file prediction.c.

References pred_constant_vtbl, pred_neural_vtbl, pred_nlms_vtbl, pred_rls_vtbl, PRED_TYPE_CONSTANT, PRED_TYPE_NEURAL, PRED_TYPE_NLMS_LINEAR, PRED_TYPE_NLMS_QUADRATIC, PRED_TYPE_RLS_LINEAR, PRED_TYPE_RLS_QUADRATIC, and Cl::pred_vptr.

Referenced by cl_load(), and cl_rand().

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◆ prediction_type_as_int()

int prediction_type_as_int ( const char * type )

Returns the integer representation of a prediction type given a name.

Parameters

[in] type String representation of a prediction type.

Returns: Integer representing the prediction type.

Definition at line 92 of file prediction.c.

References PRED_STRING_CONSTANT, PRED_STRING_NEURAL, PRED_STRING_NLMS_LINEAR, PRED_STRING_NLMS_QUADRATIC, PRED_STRING_RLS_LINEAR, PRED_STRING_RLS_QUADRATIC, PRED_TYPE_CONSTANT, PRED_TYPE_INVALID, PRED_TYPE_NEURAL, PRED_TYPE_NLMS_LINEAR, PRED_TYPE_NLMS_QUADRATIC, PRED_TYPE_RLS_LINEAR, and PRED_TYPE_RLS_QUADRATIC.

Referenced by pred_json_import(), and pred_param_set_type_string().

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◆ prediction_type_as_string()

const char * prediction_type_as_string ( const int type )

Returns a string representation of a prediction type from the integer.

Parameters

[in] type Integer representation of a prediction type.

Returns: String representing the name of the prediction type.

Definition at line 65 of file prediction.c.

References PRED_STRING_CONSTANT, PRED_STRING_NEURAL, PRED_STRING_NLMS_LINEAR, PRED_STRING_NLMS_QUADRATIC, PRED_STRING_RLS_LINEAR, PRED_STRING_RLS_QUADRATIC, PRED_TYPE_CONSTANT, PRED_TYPE_NEURAL, PRED_TYPE_NLMS_LINEAR, PRED_TYPE_NLMS_QUADRATIC, PRED_TYPE_RLS_LINEAR, and PRED_TYPE_RLS_QUADRATIC.

Referenced by pred_json_import(), and pred_param_json_export().

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Functions

Detailed Description

Function Documentation

◆ pred_param_defaults()

◆ pred_param_free()

◆ pred_param_json_export()

◆ pred_param_json_import()

◆ pred_param_load()

◆ pred_param_save()

◆ pred_param_set_eta()

◆ pred_param_set_eta_min()

◆ pred_param_set_evolve_eta()

◆ pred_param_set_lambda()

◆ pred_param_set_scale_factor()

◆ pred_param_set_type()

◆ pred_param_set_type_string()

◆ pred_param_set_x0()

◆ pred_transform_input()

◆ prediction_set()

◆ prediction_type_as_int()

◆ prediction_type_as_string()