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MKLRegression.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2009 Soeren Sonnenburg
8  * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 #ifndef __MKLREGRESSION_H__
11 #define __MKLREGRESSION_H__
12 
13 #include <shogun/lib/config.h>
14 
15 #include <shogun/lib/common.h>
17 
18 namespace shogun
19 {
27 class CMKLRegression : public CMKL
28 {
29  public:
32 
37  CMKLRegression(CSVM* s=NULL);
38 
41  virtual ~CMKLRegression();
42 
46  virtual float64_t compute_sum_alpha();
47 
49  virtual const char* get_name() const { return "MKLRegression"; }
50 
51  protected:
55  virtual void init_training();
56 
62 
68 };
69 }
70 #endif //__MKLREGRESSION_H__
virtual void init_training()
EMachineType
Definition: Machine.h:33
Multiple Kernel Learning for regression.
Definition: MKLRegression.h:27
virtual float64_t compute_mkl_dual_objective()
double float64_t
Definition: common.h:50
virtual EMachineType get_classifier_type()
Definition: MKLRegression.h:61
CMKLRegression(CSVM *s=NULL)
virtual float64_t compute_sum_alpha()
Multiple Kernel Learning.
Definition: MKL.h:85
MACHINE_PROBLEM_TYPE(PT_REGRESSION)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
A generic Support Vector Machine Interface.
Definition: SVM.h:49
virtual const char * get_name() const
Definition: MKLRegression.h:49

SHOGUN Machine Learning Toolbox - Documentation