Interface for classifier predictions. More...

#include "xcsf.h"

Include dependency graph for prediction.h:

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Data Structures
struct	ArgsPred
	Parameters for initialising and operating predictions. More...

struct	PredVtbl
	Prediction interface data structure. More...

Macros
#define	PRED_TYPE_INVALID (-1)
	Error code for invalid prediction. More...

#define	PRED_TYPE_CONSTANT (0)
	Prediction type constant. More...

#define	PRED_TYPE_NLMS_LINEAR (1)
	Prediction type linear nlms. More...

#define	PRED_TYPE_NLMS_QUADRATIC (2)
	Prediction type quadratic nlms. More...

#define	PRED_TYPE_RLS_LINEAR (3)
	Prediction type linear rls. More...

#define	PRED_TYPE_RLS_QUADRATIC (4)
	Prediction type quadratic rls. More...

#define	PRED_TYPE_NEURAL (5)
	Prediction type neural. More...

#define	PRED_STRING_CONSTANT ("constant\0")
	Constant. More...

#define	PRED_STRING_NLMS_LINEAR ("nlms_linear\0")
	Linear nlms. More...

#define	PRED_STRING_NLMS_QUADRATIC ("nlms_quadratic\0")
	Quadratic nlms. More...

#define	PRED_STRING_RLS_LINEAR ("rls_linear\0")
	Linear rls. More...

#define	PRED_STRING_RLS_QUADRATIC ("rls_quadratic\0")
	Quadratic rls. More...

#define	PRED_STRING_NEURAL ("neural\0")
	Neural. More...

#define	PRED_TYPE_OPTIONS

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

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

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

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

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

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

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

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

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. More...

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

static size_t	pred_save (const struct XCSF xcsf, const struct Cl c, FILE *fp)
	Writes the prediction to a file. More...

static size_t	pred_load (const struct XCSF xcsf, struct Cl c, FILE *fp)
	Reads the prediction from a file. More...

static double	pred_size (const struct XCSF xcsf, const struct Cl c)
	Returns the size of the classifier prediction. More...

static bool	pred_crossover (const struct XCSF xcsf, const struct Cl c1, const struct Cl *c2)
	Performs classifier prediction crossover. More...

static bool	pred_mutate (const struct XCSF xcsf, const struct Cl c)
	Performs classifier prediction mutation. More...

static void	pred_compute (const struct XCSF xcsf, const struct Cl c, const double *x)
	Computes the current classifier prediction using the input. More...

static void	pred_copy (const struct XCSF xcsf, struct Cl dest, const struct Cl *src)
	Copies the prediction from one classifier to another. More...

static void	pred_free (const struct XCSF xcsf, const struct Cl c)
	Frees the memory used by the classifier prediction. More...

static void	pred_init (const struct XCSF xcsf, struct Cl c)
	Initialises a classifier's prediction. More...

static void	pred_print (const struct XCSF xcsf, const struct Cl c)
	Prints the classifier prediction. More...

static void	pred_update (const struct XCSF xcsf, const struct Cl c, const double x, const double y)
	Updates the classifier's prediction. More...

static char *	pred_json_export (const struct XCSF xcsf, const struct Cl c)
	Returns a json formatted string representation of a prediction. More...

static void	pred_json_import (const struct XCSF xcsf, struct Cl c, const cJSON *json)
	Creates a prediction from a cJSON object. More...

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.h.

Macro Definition Documentation

◆ PRED_STRING_CONSTANT

#define PRED_STRING_CONSTANT ("constant\0")

Constant.

Definition at line 36 of file prediction.h.

◆ PRED_STRING_NEURAL

#define PRED_STRING_NEURAL ("neural\0")

Neural.

Definition at line 41 of file prediction.h.

◆ PRED_STRING_NLMS_LINEAR

#define PRED_STRING_NLMS_LINEAR ("nlms_linear\0")

Linear nlms.

Definition at line 37 of file prediction.h.

◆ PRED_STRING_NLMS_QUADRATIC

#define PRED_STRING_NLMS_QUADRATIC ("nlms_quadratic\0")

Quadratic nlms.

Definition at line 38 of file prediction.h.

◆ PRED_STRING_RLS_LINEAR

#define PRED_STRING_RLS_LINEAR ("rls_linear\0")

Linear rls.

Definition at line 39 of file prediction.h.

◆ PRED_STRING_RLS_QUADRATIC

#define PRED_STRING_RLS_QUADRATIC ("rls_quadratic\0")

Quadratic rls.

Definition at line 40 of file prediction.h.

◆ PRED_TYPE_CONSTANT

#define PRED_TYPE_CONSTANT (0)

Prediction type constant.

Definition at line 29 of file prediction.h.

◆ PRED_TYPE_INVALID

#define PRED_TYPE_INVALID (-1)

Error code for invalid prediction.

Definition at line 28 of file prediction.h.

◆ PRED_TYPE_NEURAL

#define PRED_TYPE_NEURAL (5)

Prediction type neural.

Definition at line 34 of file prediction.h.

◆ PRED_TYPE_NLMS_LINEAR

#define PRED_TYPE_NLMS_LINEAR (1)

Prediction type linear nlms.

Definition at line 30 of file prediction.h.

◆ PRED_TYPE_NLMS_QUADRATIC

#define PRED_TYPE_NLMS_QUADRATIC (2)

Prediction type quadratic nlms.

Definition at line 31 of file prediction.h.

◆ PRED_TYPE_OPTIONS

#define PRED_TYPE_OPTIONS

Value:

"constant, nlms_linear, nlms_quadratic, rls_linear, rls_quadratic, " \

"neural"

Definition at line 43 of file prediction.h.

◆ PRED_TYPE_RLS_LINEAR

#define PRED_TYPE_RLS_LINEAR (3)

Prediction type linear rls.

Definition at line 32 of file prediction.h.

◆ PRED_TYPE_RLS_QUADRATIC

#define PRED_TYPE_RLS_QUADRATIC (4)

Prediction type quadratic rls.

Definition at line 33 of file prediction.h.

Function Documentation

◆ pred_compute()

static void pred_compute	(	const struct XCSF *	xcsf,
		const struct Cl *	c,
		const double *	x
	)

static

Computes the current classifier prediction using the input.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier calculating the prediction.
[in]	x	The input state.

Definition at line 189 of file prediction.h.

References PredVtbl::pred_impl_compute, and Cl::pred_vptr.

Referenced by cl_predict().

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◆ pred_copy()

static void pred_copy	(	const struct XCSF *	xcsf,
		struct Cl *	dest,
		const struct Cl *	src
	)

static

Copies the prediction from one classifier to another.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	dest	The destination classifier.
[in]	src	The source classifier.

Definition at line 201 of file prediction.h.

References PredVtbl::pred_impl_copy, and Cl::pred_vptr.

Referenced by cl_copy(), and cl_init_copy().

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◆ pred_crossover()

static bool pred_crossover	(	const struct XCSF *	xcsf,
		const struct Cl *	c1,
		const struct Cl *	c2
	)

static

Performs classifier prediction crossover.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c1	The first classifier whose prediction is being crossed.
[in]	c2	The second classifier whose prediction is being crossed.

Returns: Whether any alterations were made.

Definition at line 164 of file prediction.h.

References PredVtbl::pred_impl_crossover, and Cl::pred_vptr.

Referenced by cl_crossover().

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◆ pred_free()

static void pred_free	(	const struct XCSF *	xcsf,
		const struct Cl *	c
	)

static

Frees the memory used by the classifier prediction.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is to be freed.

Definition at line 212 of file prediction.h.

References PredVtbl::pred_impl_free, and Cl::pred_vptr.

Referenced by cl_free().

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◆ pred_init()

static void pred_init	(	const struct XCSF *	xcsf,
		struct Cl *	c
	)

static

Initialises a classifier's prediction.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is to be initialised.

Definition at line 223 of file prediction.h.

References PredVtbl::pred_impl_init, and Cl::pred_vptr.

Referenced by cl_copy(), and cl_rand().

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◆ pred_json_export()

static char* pred_json_export	(	const struct XCSF *	xcsf,
		const struct Cl *	c
	)

static

Returns a json formatted string representation of a prediction.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	Classifier whose prediction is to be returned.

Returns: String encoded in json format.

Definition at line 261 of file prediction.h.

References PredVtbl::pred_impl_json_export, and Cl::pred_vptr.

Referenced by cl_json_export().

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◆ pred_json_import()

static void pred_json_import	(	const struct XCSF *	xcsf,
		struct Cl *	c,
		const cJSON *	json
	)

static

Creates a prediction from a cJSON object.

Parameters

[in]	xcsf	The XCSF data structure.
[in,out]	c	The classifier whose prediction is to be initialised.
[in]	json	cJSON object.

Definition at line 273 of file prediction.h.

References PredVtbl::pred_impl_json_import, Cl::pred_vptr, prediction_type_as_int(), and prediction_type_as_string().

Referenced by cl_json_import().

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◆ pred_load()

static size_t pred_load	(	const struct XCSF *	xcsf,
		struct Cl *	c,
		FILE *	fp
	)

static

Reads the prediction from a file.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is to be read.
[in]	fp	Pointer to the file to be read.

Returns: The number of elements read.

Definition at line 139 of file prediction.h.

References PredVtbl::pred_impl_load, and Cl::pred_vptr.

Referenced by cl_load().

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◆ pred_mutate()

static bool pred_mutate	(	const struct XCSF *	xcsf,
		const struct Cl *	c
	)

static

Performs classifier prediction mutation.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is being mutated.

Returns: Whether any alterations were made.

Definition at line 177 of file prediction.h.

References PredVtbl::pred_impl_mutate, and Cl::pred_vptr.

Referenced by cl_mutate().

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◆ 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_print()

static void pred_print	(	const struct XCSF *	xcsf,
		const struct Cl *	c
	)

static

Prints the classifier prediction.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is to be printed.

Definition at line 234 of file prediction.h.

References PredVtbl::pred_impl_print, and Cl::pred_vptr.

◆ pred_save()

static size_t pred_save	(	const struct XCSF *	xcsf,
		const struct Cl *	c,
		FILE *	fp
	)

static

Writes the prediction to a file.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction is to be written.
[in]	fp	Pointer to the file to be written.

Returns: The number of elements written.

Definition at line 126 of file prediction.h.

References PredVtbl::pred_impl_save, and Cl::pred_vptr.

Referenced by cl_save().

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◆ pred_size()

static double pred_size	(	const struct XCSF *	xcsf,
		const struct Cl *	c
	)

static

Returns the size of the classifier prediction.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	The classifier whose prediction size to return.

Returns: The size of the prediction.

Definition at line 151 of file prediction.h.

References PredVtbl::pred_impl_size, and Cl::pred_vptr.

Referenced by cl_pred_size().

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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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◆ pred_update()

static void pred_update	(	const struct XCSF *	xcsf,
		const struct Cl *	c,
		const double *	x,
		const double *	y
	)

static

Updates the classifier's prediction.

Precondition: The prediction has been computed for the current state.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	c	Classifier whose prediction is to be updated.
[in]	x	Input state.
[in]	y	Truth/payoff value.

Definition at line 248 of file prediction.h.

References PredVtbl::pred_impl_update, and Cl::pred_vptr.

Referenced by cl_update().

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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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Data Structures

Macros

Functions

Detailed Description

Macro Definition Documentation

◆ 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_OPTIONS

◆ PRED_TYPE_RLS_LINEAR

◆ PRED_TYPE_RLS_QUADRATIC

Function Documentation

◆ pred_compute()

◆ pred_copy()

◆ pred_crossover()

◆ pred_free()

◆ pred_init()

◆ pred_json_export()

◆ pred_json_import()

◆ pred_load()

◆ pred_mutate()

◆ 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_print()

◆ pred_save()

◆ pred_size()

◆ pred_transform_input()

◆ pred_update()

◆ prediction_set()

◆ prediction_type_as_int()

◆ prediction_type_as_string()