Main header file of the LWPR library. More...
#include <lwpr_config.h>Go to the source code of this file.
Data Structures | |
| struct | LWPR_ReceptiveField |
| This structure completely describes a "receptive field" (a local linear model). More... | |
| struct | LWPR_SubModel |
| The structure LWPR_SubModel holds all the receptive fields (LWPR_ReceptiveField) that contribute to a particular output dimension of the complete LWPR_Model. More... | |
| struct | LWPR_Model |
| Main data structure for describing an LWPR model. More... | |
Defines | |
| #define | LWPR_REGSTORE 2 |
| #define | LWPR_REGINCR 2 |
Typedefs | |
| typedef struct LWPR_Model | LWPR_Model |
| Main data structure for describing an LWPR model. | |
Enumerations | |
| enum | LWPR_Kernel { LWPR_GAUSSIAN_KERNEL, LWPR_BISQUARE_KERNEL } |
Functions | |
| void | lwpr_predict (const LWPR_Model *model, const double *x, double cutoff, double *y, double *conf, double *max_w) |
| Computes the prediction of an LWPR model given an input vector x. Can also return confidence bounds and the maximal activation of all receptive fields. | |
| void | lwpr_predict_J (const LWPR_Model *model, const double *x, double cutoff, double *y, double *J) |
| Computes the prediction and its derivatives (Jacobian) of an LWPR model given an input vector x. | |
| void | lwpr_predict_JcJ (const LWPR_Model *model, const double *x, double cutoff, double *y, double *J, double *conf, double *Jconf) |
| Computes the predictions, the confidence intervals and the first derivatives of all the quantities. | |
| void | lwpr_predict_JH (const LWPR_Model *model, const double *x, double cutoff, double *y, double *J, double *H) |
| Computes the prediction and its first and second derivatives of an LWPR model given an input vector x. | |
| int | lwpr_update (LWPR_Model *model, const double *x, const double *y, double *yp, double *max_w) |
| Updates an LWPR model with a given input/output pair (x,y). Optionally returns the model's prediction for y and the maximal activation of all receptive fields. | |
| int | lwpr_init_model (LWPR_Model *model, int nIn, int nOut, const char *name) |
| Initialises an LWPR model and allocates internally used storage for submodels etc. | |
| void | lwpr_free_model (LWPR_Model *model) |
| Cleans up the LWPR_Model structure by disposing all internally allocated memory. Make sure you always call this function if you do not need the model anymore. | |
| int | lwpr_set_init_alpha (LWPR_Model *model, double alpha) |
| Set the initial learning rate for 2nd order distance metric updates. | |
| int | lwpr_set_init_D_spherical (LWPR_Model *model, double sigma) |
| Set a spherical initial distance metric for creating new receptive fields. | |
| int | lwpr_set_init_D_diagonal (LWPR_Model *model, const double *d) |
| Set a diagonal initial distance metric for creating new receptive fields. | |
| int | lwpr_set_init_D (LWPR_Model *model, const double *D, int stride) |
| Set initial distance metric for creating new receptive fields. | |
| int | lwpr_duplicate_model (LWPR_Model *dest, const LWPR_Model *src) |
| Creates a duplicate (deep copy) of an LWPR model structure. | |
Main header file of the LWPR library.
| #define LWPR_REGINCR 2 |
When adding a PLS regression direction requires a re-allocation, this constant determines how much storage is added
| #define LWPR_REGSTORE 2 |
LWPR_REGSTORE is the default storage size for PLS regression directions
1.6.3