/usr/include/shogun/kernel/PyramidChi2.h is in libshogun-dev 1.1.0-4ubuntu2.
This file is owned by root:root, with mode 0o644.
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* 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) 2008-2009 Alexander Binder
* Copyright (C) 2008-2009 Fraunhofer Institute FIRST and Max-Planck-Society
*/
#ifndef PYRAMIDCHI2_H_
#define PYRAMIDCHI2_H_
#include <shogun/lib/common.h>
#include <shogun/kernel/DotKernel.h>
#include <shogun/features/Features.h>
#include <shogun/features/SimpleFeatures.h>
namespace shogun
{
template <class T> class CSimpleFeatures;
/** @brief Pyramid Kernel over Chi2 matched histograms.
*
*
*
*/
class CPyramidChi2 : public CDotKernel
{
public:
/** default constructor protected to avoid its usage */
CPyramidChi2();
/** constructor
*
* @param size cache size in MB
* @param num_cells2 - the number of pyramid cells
* @param weights_foreach_cell2 the vector of weights for each cell with which the Chi2 distance gets weighted
* @param width_computation_type2 - 0 use the following parameter as fixed
* width, 1- use mean of inner distances
* in cases 1 and 2 the value of parameter width is still important, see parameter width2
* @param width2 - in case of width_computation_type ==0 it is the
* width, in case of width_computation_type > 0 its value determines
* the how many random features are used for determining the width
* in case of width_computation_type > 0 set width2 <=1 to use all
* LEFT HAND SIDE features for width estimation
*/
CPyramidChi2(int32_t size, int32_t num_cells2,
float64_t* weights_foreach_cell2,
int32_t width_computation_type2,
float64_t width2);
/** constructor
*
* @param l features lhs
* convention: concatenated features along all cells, i.e. [feature for cell1, feature for cell2, ... feature for last cell] , the dimensionality of the base feature is equal to dividing the total feature length by the number ofcells
* @param r features rhs
* the same convention as for param l applies here
* @param size cache size
* @param num_cells2 - the number of pyramid cells
* @param weights_foreach_cell2 the vector of weights for each cell with which the Chi2 distance gets weighted
* @param width_computation_type2 - 0 use the following parameter as fixed
* width, 1- use mean of inner distances
* in case 1 the value of parameter width is important!!!
* @param width2 - in case of width_computation_type ==0 it is the
* width, in case of width_computation_type > 0 its value determines
* the how many random features are used for determining the width
* in case of width_computation_type > 0 set width2 <=1 to use all
* LEFT HAND SIDE features for width estimation
*/
CPyramidChi2(
CSimpleFeatures<float64_t>* l, CSimpleFeatures<float64_t>* r,
int32_t size, int32_t num_cells2,
float64_t* weights_foreach_cell2,
int32_t width_computation_type2,
float64_t width2 );
/** init
*
* @param l features lhs
* @param r reatures rhs
*/
virtual bool init(CFeatures* l, CFeatures* r);
virtual ~CPyramidChi2();
/** cleanup */
virtual void cleanup();
/** return what type of kernel we are Linear,Polynomial, Gaussian,... */
virtual EKernelType get_kernel_type()
{
return K_PYRAMIDCHI2;
}
/** return the name of a kernel */
virtual const char* get_name() const { return "PyramidoverChi2"; }
/** sets parameters, see also constructor
*
* @param num_cells2 - the number of pyramid cells
* @param weights_foreach_cell2 the vector of weights for each cell with which the Chi2 distance gets weighted
* @param width_computation_type2 - 0 use the following parameter as fixed
* width, 1- use mean of inner distances
* in cases 1 and 2 the value of parameter width is still important, see parameter width2
* @param width2 - in case of width_computation_type ==0 it is the
* width, in case of width_computation_type > 0 its value determines
* the how many random features are used for determining the width
* in case of width_computation_type > 0 set width2 <=1 to use all
* LEFT HAND SIDE features for width estimation
*/
virtual void setparams_pychi2(int32_t num_cells2,
float64_t* weights_foreach_cell2,
int32_t width_computation_type2,
float64_t width2);
protected:
/** compute kernel function for features a and b
*
* @param idx_a index of feature vector a
* @param idx_b index of feature vector b
* @return computed kernel function
*/
virtual float64_t compute(int32_t idx_a, int32_t idx_b);
protected:
/** number of pyramidcells across all pyramidlevel */
int32_t num_cells;
/** vector of weights for each pyramid cell*/
float64_t* weights;
/** width_computation_type */
int32_t width_computation_type;
/** width */
float64_t width;
/** in case of adaptive width computation: how many features to use */
int32_t num_randfeats_forwidthcomputation;
};
}
#endif /*PYRAMIDCHI2_H_*/
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