This structure describes a "LEARN_A_MODEL" (a learn alpha model). This structure constains the dimentionality of the defined problems and the model parameters. It should always initialised with ccl_learn_alpha_model_alloc, and destroyed with ccl_learn_alpha_model_free. More...

#include <ccl_learn_alpha.h>

Data Fields
int	dim_b
	The number of basis functions.

int	dim_r
	The dimensionality of the task space.

int	dim_x
	The dimensionality of the state space.

int	dim_u
	The dimensionality of the action space.

int	dim_t
	Number of parameters needed to represent an unit vector.

int	dim_k
	The dimensionality of the constraints.

int	dim_n
	The number of data points.

double	var
	The variance of the Un.

double	nmse
	The normalised mean square error of the model.

double *	w [NUM_CONSTRAINT]
	The model parameters for the learned constraints.

double *	c
	The mean of the rbf.

double	s2
	The variance of the rbf.

Detailed Description

This structure describes a "LEARN_A_MODEL" (a learn alpha model). This structure constains the dimentionality of the defined problems and the model parameters. It should always initialised with ccl_learn_alpha_model_alloc, and destroyed with ccl_learn_alpha_model_free.

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

include/ccl_learn_alpha.h

Data Fields

Detailed Description