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/**
* @file msvmmaj.h
* @author Gertjan van den Burg
* @date August, 2013
* @brief Definitions for common structures
*
* @details
* Contains documentation and declarations of MajModel and MajData.
*
*/
#ifndef MSVMMAJ_H
#define MSVMMAJ_H
#include "globals.h"
#include "types.h"
/**
* @brief A structure to represent a single MSVMMaj model.
*
* @param weight_idx which weights to use (1 = unit, 2 = group)
* @param K number of classes in the dataset
* @param n number of instances in the dataset
* @param m number of predictors in the dataset
* @param epsilon stopping criterion
* @param p parameter for the L_p norm
* @param kappa parameter for the Huber hinge
* @param lambda regularization parameter
* @param *W pointer to the weight matrix
* @param *t pointer to the translation vector
* @param *V pointer to the augmented weight matrix
* @param *Vbar pointer to the augmented weight matrix from a
* previous iteration
* @param *U pointer to the simplex matrix
* @param *UU pointer to the 3D simplex difference matrix
* @param *Q pointer to the error matrix
* @param *H pointer to the Huber weighted error matrix
* @param *R pointer to the 0-1 auxiliary matrix
* @param *J pointer to the diagonal matrix in the
* regularization term
* @param *rho pointer to the instance weight vector
* @param training_error error after training has completed
* @param *data_file pointer to the filename of the data
* @param kerneltype kernel to be used in the model
* @param kernelparam pointer to the vector of kernel parameters
*
* @TODO
* change R to int, it's a binary matrix
*/
struct MajModel {
int weight_idx;
long K;
long n;
long m;
double epsilon;
double p;
double kappa;
double lambda;
double *W;
double *t;
double *V;
double *Vbar;
double *U;
double *UU;
double *Q;
double *H;
double *R;
double *J;
double *rho;
double training_error;
char *data_file;
KernelType kerneltype;
double *kernelparam;
};
/**
* @brief A structure to represent the data.
*
* @param K number of classes
* @param n number of instances
* @param m number of predictors
* @param *y pointer to vector of class labels
* @param *Z pointer to augmented data matrix
* @param kerneltype kerneltype used in MajData::Z
* @param *kernelparam kernel parameters used in MajData::Z
*
*/
struct MajData {
long K;
long n;
long m;
long *y;
double *Z;
KernelType kerneltype;
double *kernelparam;
};
#endif
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