/usr/include/shogun/kernel/GaussianARDKernel.h is in libshogun-dev 3.1.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /*
* 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 Jacob Walker
*
* Adapted from WeightedDegreeRBFKernel.h
*/
#ifndef GAUSSIANARDKERNEL_H_
#define GAUSSIANARDKERNEL_H_
#include <shogun/lib/common.h>
#include <shogun/kernel/DotKernel.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/kernel/LinearARDKernel.h>
namespace shogun
{
/** @brief Gaussian Kernel with Automatic Relevance Detection */
class CGaussianARDKernel: public CLinearARDKernel
{
public:
/** default constructor */
CGaussianARDKernel();
/** constructor
*
* @param size cache size
* @param width kernel width
*/
CGaussianARDKernel(int32_t size, float64_t width);
/** constructor
*
* @param l features of left-hand side
* @param r features of right-hand side
* @param size cache size
* @param width kernel width
*/
CGaussianARDKernel(CDenseFeatures<float64_t>* l, CDenseFeatures<float64_t>* r,
int32_t size=10, float64_t width=2.0);
/** destructor */
virtual ~CGaussianARDKernel();
/** @param kernel is casted to CGaussianARDKernel, error if not possible
* is SG_REF'ed
* @return casted CGaussianARDKernel object
*/
static CGaussianARDKernel* obtain_from_generic(CKernel* kernel);
/** 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 GAUSSIANARD
*/
virtual EKernelType get_kernel_type() { return K_GAUSSIANARD; }
/** return the kernel's name
*
* @return name GaussianARDKernel
*/
virtual const char* get_name() const { return "GaussianARDKernel"; }
/** return derivative with respect to specified parameter
*
* @param param the parameter
* @param index the index of the element if parameter is a vector
*
* @return gradient with respect to parameter
*/
virtual SGMatrix<float64_t> get_parameter_gradient(const TParameter* param,
index_t index=-1);
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);
private:
void init();
protected:
/** kernel width */
float64_t m_width;
};
}
#endif /* GAUSSIANARDKERNEL_H_ */
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