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MKLClassification.h
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MKLClassification.h
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/*
* This software is distributed under BSD 3-clause license (see LICENSE file).
*
* Authors: Soeren Sonnenburg, Giovanni De Toni, Evan Shelhamer,
* Sergey Lisitsyn
*/
#ifndef __MKLCLASSIFICATION_H__
#define __MKLCLASSIFICATION_H__
#include <shogun/lib/config.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();
/**
* Helper method used to specialize a base class instance.
* @param machine the machine we want to cast
* @return a MKLClassification machine (already SGREF'ed)
*/
SG_DEPRECATED("use .as template function")
static CMKLClassification* obtain_from_generic(CMachine* machine);
/** @return object name */
virtual const char* get_name() const { return "MKLClassification"; }
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 EMachineType get_classifier_type() { return CT_MKLCLASSIFICATION; }
};
}
#endif //__MKLCLASSIFICATION_H__