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diff --git a/include/gensvm.h b/include/gensvm.h
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-/**
- * @file gensvm.h
- * @author Gertjan van den Burg
- * @date August, 2013
- * @brief Definitions for common structures
- *
- * @details
- * Contains documentation and declarations of GenModel and GenData.
- *
- */
-
-#ifndef GENSVM_H
-#define GENSVM_H
-
-#include "types.h"
-
-/**
- * @brief A structure to represent a single GenSVM model.
- *
- */
-struct GenModel {
-	int weight_idx;
-	///< which weights to use (1 = unit, 2 = group)
-	long K;
-	///< number of classes in the dataset
-	long n;
-	///< number of instances in the dataset
-	long m;
-	///< number of predictor variables in the dataset
-	double epsilon;
-	///< stopping criterion for the IM algorithm.
-	double p;
-	///< parameter for the L-p norm in the loss function
-	double kappa;
-	///< parameter for the Huber hinge function
-	double lambda;
-	///< regularization parameter in the loss function
-	double *W;
-	///< weight matrix
-	double *t;
-	///< translation vector
-	double *V;
-	///< augmented weight matrix
-	double *Vbar;
-	///< augmented weight matrix from the previous iteration of the IM
-	///< algorithm
-	double *U;
-	///< simplex matrix
-	double *UU;
-	///< 3D simplex difference matrix
-	double *Q;
-	///< error matrix
-	double *H;
-	///< Huber weighted error matrix
-	double *R;
-	///< 0-1 auixiliary matrix, this matrix is n x K, with for row i a 0 on
-	///< column y[i]-1, and 1 everywhere else.
-	double *rho;
-	///< vector of instance weights
-	double training_error;
-	///< loss function value after training has finished
-	char *data_file;
-	///< filename of the data
-	KernelType kerneltype;
-	///< type of kernel used in the model
-	double *kernelparam;
-	///< array of kernel parameters, size depends on kernel type
-};
-
-/**
- * @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 *RAW 		pointer to augmented raw data matrix
- * @param *J 		pointer to regularization vector
- * @param kerneltype 	kerneltype used in GenData::Z
- * @param *kernelparam 	kernel parameters used in GenData::Z
- *
- */
-struct GenData {
-	long K;
-	///< number of classes
-	long n;
-	///< number of instances
-	long m;
-	///< number of predictors (width of RAW)
-	long r;
-	///< number of eigenvalues (width of Z)
- 	long *y;
-	///< array of class labels, 1..K
-	double *Z;
-	///< augmented data matrix (either equal to RAW or to the eigenvectors
-	///< of the kernel matrix)
-	double *RAW;
-	///< augmented raw data matrix
-	double *Sigma;
-	KernelType kerneltype;
- 	double *kernelparam;
-};
-
-#endif