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ChiSquareDistance.cpp
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2008-2009 Christian Gehl
8  * Copyright (C) 2008-2009 Fraunhofer Institute FIRST
9  */
10 
11 #include <shogun/lib/config.h>
12 #include <shogun/lib/common.h>
13 #include <shogun/io/SGIO.h>
16 
17 using namespace shogun;
18 
20 {
21 }
22 
25 {
26  init(l, r);
27 }
28 
30 {
31  cleanup();
32 }
33 
34 bool CChiSquareDistance::init(CFeatures* l, CFeatures* r)
35 {
36  bool result=CDenseDistance<float64_t>::init(l,r);
37 
38  return result;
39 }
40 
42 {
43 }
44 
45 float64_t CChiSquareDistance::compute(int32_t idx_a, int32_t idx_b)
46 {
47  int32_t alen, blen;
48  bool afree, bfree;
49 
50  float64_t* avec=
51  ((CDenseFeatures<float64_t>*) lhs)->get_feature_vector(idx_a, alen, afree);
52  float64_t* bvec=
53  ((CDenseFeatures<float64_t>*) rhs)->get_feature_vector(idx_b, blen, bfree);
54 
55  ASSERT(alen==blen)
56 
57  float64_t absTmp = 0;
58  float64_t result=0;
59  {
60  for (int32_t i=0; i<alen; i++)
61  {
62  absTmp=fabs(avec[i])+fabs(bvec[i]);
63  if(absTmp!=0)
64  result+=pow((avec[i]-bvec[i]),2)/absTmp;
65  }
66 
67  }
68 
69  ((CDenseFeatures<float64_t>*) lhs)->free_feature_vector(avec, idx_a, afree);
70  ((CDenseFeatures<float64_t>*) rhs)->free_feature_vector(bvec, idx_b, bfree);
71 
72  return result;
73 }
#define ASSERT(x)
Definition: SGIO.h:201
virtual bool init(CFeatures *l, CFeatures *r)
double float64_t
Definition: common.h:50
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
CFeatures * lhs
feature vectors to occur on the left hand side
Definition: Distance.h:381
The class Features is the base class of all feature objects.
Definition: Features.h:68
CFeatures * rhs
feature vectors to occur on the right hand side
Definition: Distance.h:383
template class DenseDistance
Definition: DenseDistance.h:24
virtual float64_t compute(int32_t idx_a, int32_t idx_b)

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