pa.c File Reference

Prediction array functions. More...

#include "pa.h"
#include "cl.h"
#include "utils.h"

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Functions
static void	pa_reset (const struct XCSF *xcsf)
	Resets the prediction array to zero.
void	pa_init (struct XCSF *xcsf)
	Initialises the prediction array.
void	pa_build (const struct XCSF *xcsf, const double *x)
	Builds the prediction array for the specified input.
int	pa_best_action (const struct XCSF *xcsf)
	Returns the best action in the prediction array.
int	pa_rand_action (const struct XCSF *xcsf)
	Returns a random action from the prediction array.
double	pa_best_val (const struct XCSF *xcsf)
	Returns the highest value in the prediction array.
double	pa_val (const struct XCSF *xcsf, const int action)
	Returns the value of a specified action in the prediction array.
void	pa_free (const struct XCSF *xcsf)
	Frees the prediction array.

Detailed Description

Prediction array functions.

Author

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

Copyright

The Authors.

Date

2015–2023.

Definition in file pa.c.

Function Documentation

pa_best_action()

int pa_best_action

(

const struct XCSF *

xcsf

)

Returns the best action in the prediction array.

Ties broken uniformly random.

Parameters

[in]

xcsf

The XCSF data structure.

Returns

The best action.

Definition at line 123 of file pa.c.

References rand_uniform_int().

Referenced by xcs_rl_decision().

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pa_best_val()

double pa_best_val

(

const struct XCSF *

xcsf

)

Returns the highest value in the prediction array.

Parameters

[in]

xcsf

The XCSF data structure.

Returns

The highest value in the prediction array.

Definition at line 165 of file pa.c.

References argmax().

Referenced by xcs_rl_update().

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pa_build()

void pa_build	(	const struct XCSF *	xcsf,
		const double *	x
	)

Builds the prediction array for the specified input.

Calculates the match set mean fitness weighted prediction for each action. For supervised learning n_actions=1; reinforcement learning y_dim=1.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	x	The input state.

Definition at line 62 of file pa.c.

References Cl::action, Clist::cl, cl_predict(), Cl::fit, Set::list, Clist::next, pa_reset(), Cl::prediction, and Set::size.

Referenced by xcs_rl_decision(), xcs_rl_fit(), and xcs_supervised_trial().

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pa_free()

void pa_free

(

const struct XCSF *

xcsf

)

Frees the prediction array.

Parameters

[in]

xcsf

The XCSF data structure.

Definition at line 192 of file pa.c.

Referenced by xcsf_ae_to_classifier(), and xcsf_free().

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pa_init()

void pa_init

(

struct XCSF *

xcsf

)

Initialises the prediction array.

Parameters

[in]

xcsf

The XCSF data structure.

Definition at line 46 of file pa.c.

Referenced by xcsf_ae_to_classifier(), and xcsf_init().

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pa_rand_action()

int pa_rand_action

(

const struct XCSF *

xcsf

)

Returns a random action from the prediction array.

Parameters

[in]

xcsf

The XCSF data structure.

Returns

A random action.

Definition at line 150 of file pa.c.

References rand_uniform_int().

Referenced by xcs_rl_decision().

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pa_reset()

static void pa_reset ( const struct XCSF *  xcsf )

static

Resets the prediction array to zero.

Parameters

[in]

xcsf

The XCSF data structure.

Definition at line 33 of file pa.c.

Referenced by pa_build().

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pa_val()

double pa_val	(	const struct XCSF *	xcsf,
		const int	action
	)

Returns the value of a specified action in the prediction array.

Parameters

[in]	xcsf	The XCSF data structure.
[in]	action	The specified action.

Returns

The value of the action in the prediction array.

Definition at line 178 of file pa.c.

Referenced by xcs_rl_end_step(), xcs_rl_error(), and xcs_rl_fit().

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