/usr/include/shogun/kernel/string/SparseSpatialSampleStringKernel.h is in libshogun-dev 3.2.0-7.3build4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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) 2010 Soeren Sonnenburg
* Copyright (C) 2010 Berlin Institute of Technology
*/
#ifndef _SPARSESPATIALSAMPLESTRINGKERNEL_H___
#define _SPARSESPATIALSAMPLESTRINGKERNEL_H___
#include <shogun/lib/common.h>
#include <shogun/kernel/string/StringKernel.h>
namespace shogun
{
/// SSKFeatures
struct SSKFeatures
{
/// features
int *features;
/// group
int *group;
/// n
int n;
};
/** @brief Sparse Spatial Sample String Kernel
* by Pavel Kuksa <pkuksa@cs.rutgers.edu> and
* Vladimir Pavlovic <vladimir@cs.rutgers.edu>
*/
class CSparseSpatialSampleStringKernel: public CStringKernel<char>
{
public:
/** constructor
*/
CSparseSpatialSampleStringKernel();
/** constructor
*
* @param l features of left-hand side
* @param r features of right-hand side
*/
CSparseSpatialSampleStringKernel(CStringFeatures<char>* l, CStringFeatures<char>* r);
virtual ~CSparseSpatialSampleStringKernel();
/** 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);
/** clean up kernel */
virtual void cleanup();
/** return what type of kernel we are
*
* @return kernel type SPARSESPATIALSAMPLE
*/
virtual EKernelType get_kernel_type()
{
return K_SPARSESPATIALSAMPLE;
}
/** set d
* @param max_distance
*/
void set_d(int32_t max_distance)
{
ASSERT(d>0)
d=max_distance;
}
/** get d */
int32_t get_d()
{
return d;
}
/** set t
* @param sequence_length
*/
void set_t(int32_t sequence_length)
{
ASSERT(t==2 || t==3)
t=sequence_length;
}
/** get t */
int32_t get_t()
{
return t;
}
/** return the kernel's name
*
* @return name SparseSpatialSample
*/
virtual const char* get_name() const { return "SparseSpatialSampleStringKernel"; }
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);
/** extract triple
* @param S
* @param len
* @param nStr
* @param d1
* @param d2
*/
SSKFeatures *extractTriple(int **S, int *len, int nStr, int d1, int d2);
/** extract double
* @param S
* @param len
* @param nStr
* @param d1
*/
SSKFeatures *extractDouble(int **S, int *len, int nStr, int d1);
/** compute double
* @param idx_a
* @param idx_b
*/
void compute_double(int32_t idx_a, int32_t idx_b);
/** compute triple
* @param idx_a
* @param idx_b
*/
void compute_triple(int32_t idx_a, int32_t idx_b);
/** makes CNTSRTNA
* @param sx
* @param k
* @param r
* @param na
*/
int* cntsrtna(int *sx, int k, int r, int na);
/** count and update
* @param outK
* @param sx
* @param g
* @param k
* @param r
* @param nStr
*/
void countAndUpdate(int *outK, int *sx, int *g, int k, int r, int nStr);
protected:
/** parameter t of the SSSK denotes how many words are considered in the
* sequence (valid are only 2 or 3) */
int32_t t;
/** parameter d of the SSSK denotes maximum allowed distance between
* words in the sequence */
int32_t d;
/** is verbose? */
bool isVerbose;
};
}
#endif /* _SPARSESPATIALSAMPLESTRINGKERNEL_H___ */
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