LEARN_MODEL_WS Struct Reference

This structure describes workspace for directly learning the model parameters using linear regression. More...

#include <ccl_learn_ncl.h>

Data Fields
gsl_matrix *	HS
	Regularization basis for the H matrix.
gsl_matrix *	g
	Dot product of BX and U.
gsl_matrix *	Y_T
	Transpose of Y_.
gsl_matrix *	Y_
	Output variable.
gsl_matrix *	H
	Dot product of BX and BX'.
gsl_matrix *	BX_T
	Transpose of BX_.
gsl_matrix *	BX_
	High dimensionality of the input data.
gsl_matrix *	w_
	Model parameters.
gsl_matrix *	pinvH1
	Peuso inverse of H1.
gsl_vector *	V
	Eigen vector of H.
gsl_matrix *	D
	Diagobal matrix with eigen values of H.
int *	idx
	index

Detailed Description

This structure describes workspace for directly learning the model parameters using linear regression.

This structure defines the worspace variables and initialises with their dimensionalities. It should always initialised with ccl_learn_ncl_model_alloc, and destroyed with ccl_learn_ncl_model_free.

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

• include/ccl_learn_ncl.h