LWPR_Model Struct Reference
[LWPR library (the low level C implementation)]

Main data structure for describing an LWPR model. More...

#include <lwpr.h>

Data Fields
int	nIn
	Number N of input dimensions.
int	nInStore
	Storage-size of any N-vector, for aligment purposes.
int	nOut
	Number M of output dimensions.
int	n_data
	Number of training data the model has seen.
double *	mean_x
	Mean of all training data the model has seen (Nx1).
double *	var_x
	Mean of all training data the model has seen (Nx1).
char *	name
	An optional description of the model (Mx1).
int	diag_only
	Flag that determines whether distance matrices are handled as diagonal-only.
int	meta
	Flag that determines wheter 2nd order updates to LWPR_ReceptiveField.M are computed.
double	meta_rate
	Learning rate for 2nd order updates.
double	penalty
	Penalty factor used within distance metric updates.
double *	init_alpha
	Initial learning rate for 2nd order distance metric updates (NxN).
double *	norm_in
	Input normalisation (Nx1). Adjust this to the expected variation of your data.
double *	norm_out
	Output normalisation. Adjust this to the expected variation of your output data.
double *	init_D
	Initial distance metric (NxN). This often requires some tuning (NxN).
double *	init_M
	Cholesky factorisation of LWPR_Model.init_D (NxN).
double	w_gen
	Threshold that determines the minimum activation before a new RF is created.
double	w_prune
	Threshold that determines above which (second highest) activation a RF is pruned.
double	init_lambda
	Initial forgetting factor.
double	final_lambda
	Final forgetting factor.
double	tau_lambda
	This parameter describes the annealing schedule of the forgetting factor.
double	init_S2
	Initial value for sufficient statistics LWPR_ReceptiveField.SSs2.
double	add_threshold
	Threshold that determines when a new PLS regression axis is added.
LWPR_Kernel	kernel
	Describes which kernel function is used (Gaussian or BiSquare).
int	update_D
	Flag that determines whether distance metric updates are performed (default: 1).
LWPR_SubModel *	sub
	Array of SubModels, one for each output dimension.
struct LWPR_Workspace *	ws
	Array of Workspaces, one for each thread (cf. LWPR_NUM_THREADS).
double *	storage
	Pointer to allocated memory. Do not touch.
double *	xn
	Used to hold a normalised input vector (Nx1).
double *	yn
	Used to hold a normalised output vector (Nx1).
int	isPersistent
	MEX-specific flag which determines whether this LWPR_Model is persistent.

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Detailed Description

Main data structure for describing an LWPR model.

This structure contains flags and initial values that determine the behaviour of the LWPR algorithm, and also provides some statistics about the model.

It should always be initialised with lwpr_init_model, and destroyed with lwpr_free_model. Note that both functions do not allocate/free the space for the LWPR_Model itself.

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Field Documentation

int LWPR_Model::isPersistent

MEX-specific flag which determines whether this LWPR_Model is persistent.

This variable is only included in the LWPR_Model structure if the library is compiled with the directive MATLAB (i.e. for MEX-file usage). In that case, isPersistent=1 indicates that the LWPR model should be protected from automatic memory cleanups as performed by MATLAB.

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

• include/lwpr.h