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TensorProductPairKernel.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 
11 #ifndef _TPPKKERNEL_H___
12 #define _TPPKKERNEL_H___
13 
14 #include <shogun/lib/common.h>
17 
18 namespace shogun
19 {
38 {
39  public:
42 
49 
57 
58  virtual ~CTensorProductPairKernel();
59 
66  virtual bool init(CFeatures* l, CFeatures* r);
67 
72  virtual EKernelType get_kernel_type() { return K_TPPK; }
73 
74  /* register the parameters
75  */
76  virtual void register_params();
77 
82  virtual const char* get_name() const { return "TensorProductPairKernel"; }
83 
88  virtual EFeatureClass get_feature_class() { return C_DENSE; }
89 
94  virtual EFeatureType get_feature_type() { return F_INT; }
95 
96  protected:
105  virtual float64_t compute(int32_t idx_a, int32_t idx_b);
106 
107  protected:
110 };
111 }
112 #endif /* _TPPKKERNEL_H__ */
EKernelType
Definition: Kernel.h:51
Computes the Tensor Product Pair Kernel (TPPK).
virtual const char * get_name() const
EFeatureClass
shogun feature class
Definition: FeatureTypes.h:35
Template class DotKernel is the base class for kernels working on DotFeatures.
Definition: DotKernel.h:29
virtual EFeatureClass get_feature_class()
double float64_t
Definition: common.h:48
virtual bool init(CFeatures *l, CFeatures *r)
virtual float64_t compute(int32_t idx_a, int32_t idx_b)
EFeatureType
shogun feature type
Definition: FeatureTypes.h:16
The class DenseFeatures implements dense feature matrices.
Definition: LDA.h:24
The class Features is the base class of all feature objects.
Definition: Features.h:62
The Kernel base class.
Definition: Kernel.h:150

SHOGUN Machine Learning Toolbox - Documentation