/usr/include/shogun/kernel/JensenShannonKernel.h is in libshogun-dev 3.2.0-7.3build4.
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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 | /*
* 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) 2012 Viktor Gal
* Copyright (C) 2012 Viktor Gal
*/
#ifndef _JENSENSHANNONKERNEL_H___
#define _JENSENSHANNONKERNEL_H___
#include <shogun/lib/common.h>
#include <shogun/kernel/DotKernel.h>
#include <shogun/features/DenseFeatures.h>
namespace shogun
{
/** @brief The Jensen-Shannon kernel operating on real-valued vectors computes
* the Jensen-Shannon distance between the features. Often used in computer vision.
*
* It is defined as
* \f[
* k({\bf x},{\bf x'})= \sum_{i=0}^{l} \frac{x_i}{2} \log_2\frac{x_i+x'_i}{x_i} + \frac{x'_i}{2} \log_2\frac{x_i+x'_i}{x'_i}
* \f]
* */
class CJensenShannonKernel: public CDotKernel
{
public:
/** default constructor */
CJensenShannonKernel();
/** constructor
*
* @param size cache size
*/
CJensenShannonKernel(int32_t size);
/** constructor
*
* @param l features of left-hand side
* @param r features of right-hand side
* @param size cache size
*/
CJensenShannonKernel(
CDenseFeatures<float64_t>* l, CDenseFeatures<float64_t>* r,
int32_t size=10);
virtual ~CJensenShannonKernel();
/** initialize kernel
*
* @param l features of left-hand side
* @param r features of right-hand side
* @return if initializing was successful
*/
virtual bool init(CFeatures* l, CFeatures* r);
/** return what type of kernel we are
*
* @return kernel type JENSENSHANNON
*/
virtual EKernelType get_kernel_type() { return K_JENSENSHANNON; }
/** return the kernel's name
*
* @return name JensenShannonKernel
*/
virtual const char* get_name() const { return "JensenShannonKernel"; }
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);
};
}
#endif /* _JENSENSHANNONKERNEL_H___ */
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