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/*
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2009 Soeren Sonnenburg
 * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
 */
#ifndef __MKLCLASSIFICATION_H__
#define __MKLCLASSIFICATION_H__

#include <shogun/lib/common.h>
#include <shogun/classifier/mkl/MKL.h>

namespace shogun
{
/** @brief Multiple Kernel Learning for two-class-classification
 * 
 * Learns an SVM classifier and its kernel weights. Makes only sense if
 * multiple kernels are used.
 *
 * \sa CMKL
 */
class CMKLClassification : public CMKL
{
	public:
		/** Constructor
		 *
		 * @param s SVM to use as constraint generator in MKL SILP
		 */
		CMKLClassification(CSVM* s=NULL);

		/** Destructor
		 */
		virtual ~CMKLClassification();

		/** compute beta independent term from objective, e.g., in 2-class MKL
		 * sum_i alpha_i etc
		 */
		virtual float64_t compute_sum_alpha();

	protected:
		/** check run before starting training (to e.g. check if labeling is
		 * two-class labeling in classification case
		 */
		virtual void init_training();

		/** get classifier type
		 *
		 * @return classifier type MKL_CLASSIFICATION
		 */
		virtual inline EClassifierType get_classifier_type() { return CT_MKLCLASSIFICATION; }
};
}
#endif //__MKLCLASSIFICATION_H__