/usr/include/shogun/kernel/DotKernel.h is in libshogun-dev 1.1.0-4ubuntu2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | /*
* 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) 2010 Berlin Institute of Technology
*/
#ifndef _DOTKERNEL_H___
#define _DOTKERNEL_H___
#include <shogun/kernel/Kernel.h>
#include <shogun/features/DotFeatures.h>
#include <shogun/io/SGIO.h>
namespace shogun
{
/** @brief Template class DotKernel is the base class for kernels working on
* DotFeatures.
*
* CDotFeatures are features supporting operations like dot product, dot product
* with a dense vector and addition to a dense vector. Therefore several dot
* product based kernels derive from this class (cf., e.g., CLinearKernel)
*
* \sa CDotFeatures
*/
class CDotKernel : public CKernel
{
public:
/** default constructor
*
*/
CDotKernel() : CKernel() {}
/** constructor
*
* @param cachesize cache size
*/
CDotKernel(int32_t cachesize) : CKernel(cachesize) {}
/** constructor
*
* @param l features of left-hand side
* @param r features of right-hand side
*/
CDotKernel(CFeatures* l, CFeatures* r) : CKernel(10)
{
init(l, r);
}
/** initialize kernel
* e.g. setup lhs/rhs of kernel, precompute normalization
* constants etc.
* make sure to check that your kernel can deal with the
* supplied features (!)
*
* @param l features for left-hand side
* @param r features for right-hand side
* @return if init was successful
*/
virtual bool init(CFeatures* l, CFeatures* r)
{
CKernel::init(l,r);
ASSERT(l->has_property(FP_DOT));
ASSERT(r->has_property(FP_DOT));
ASSERT(l->get_feature_type() == r->get_feature_type());
ASSERT(l->get_feature_class() == r->get_feature_class());
if ( ((CDotFeatures*) l)->get_dim_feature_space() != ((CDotFeatures*) r)->get_dim_feature_space() )
{
SG_ERROR( "train or test features #dimension mismatch (l:%d vs. r:%d)\n",
((CDotFeatures*) l)->get_dim_feature_space(),((CDotFeatures*) r)->get_dim_feature_space());
}
return true;
}
/** return feature class the kernel can deal with
*
* dot kernel returns unknown since features can be based on anything
*
* @return feature class ANY
*/
inline virtual EFeatureClass get_feature_class() { return C_ANY; }
/** return feature type the kernel can deal with
*
* dot kernel returns unknown since features can be based on anything
*
* @return ANY feature type
*/
inline virtual EFeatureType get_feature_type() { return F_ANY; }
/** Returns the name of the SGSerializable instance. It MUST BE
* the CLASS NAME without the prefixed `C'.
*
* @return name of the SGSerializable
*/
virtual const char* get_name() const { return "DotKernel"; }
/** return what type of kernel we are, e.g.
* Linear,Polynomial, Gaussian,...
*
* abstract base method
*
* @return kernel type
*/
virtual EKernelType get_kernel_type()=0 ;
protected:
/** compute kernel function for features a and b
* idx_{a,b} denote the index of the feature vectors
* in the corresponding feature object
*
* @param idx_a index a
* @param idx_b index b
* @return computed kernel function at indices a,b
*/
virtual float64_t compute(int32_t idx_a, int32_t idx_b)
{
return ((CDotFeatures*) lhs)->dot(idx_a, ((CDotFeatures*) rhs), idx_b);
}
};
}
#endif /* _DOTKERNEL_H__ */
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