source: trunk/yat/regression/Polynomial.cc @ 727

Last change on this file since 727 was 727, checked in by Peter, 16 years ago

fixes #177

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 2.0 KB
Line 
1// $Id: Polynomial.cc 727 2007-01-04 15:06:14Z peter $
2
3/*
4  Copyright (C) The authors contributing to this file.
5
6  This file is part of the yat library, http://lev.thep.lu.se/trac/yat
7
8  The yat library is free software; you can redistribute it and/or
9  modify it under the terms of the GNU General Public License as
10  published by the Free Software Foundation; either version 2 of the
11  License, or (at your option) any later version.
12
13  The yat library is distributed in the hope that it will be useful,
14  but WITHOUT ANY WARRANTY; without even the implied warranty of
15  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16  General Public License for more details.
17
18  You should have received a copy of the GNU General Public License
19  along with this program; if not, write to the Free Software
20  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
21  02111-1307, USA.
22*/
23
24#include "Polynomial.h"
25#include "yat/utility/matrix.h"
26#include "yat/utility/vector.h"
27
28namespace theplu {
29namespace yat {
30namespace regression {
31
32  Polynomial::Polynomial(size_t power)
33    : OneDimensional(), power_(power)
34  {
35  }
36
37
38  Polynomial::~Polynomial(void)
39  {
40  }
41
42
43  double Polynomial::chisq(void) const 
44  { 
45    return md_.chisq(); 
46  }
47
48
49  const utility::matrix& Polynomial::covariance(void) const
50  {
51    return md_.covariance();
52  }
53
54
55  void Polynomial::fit(const utility::vector& x, const utility::vector& y)
56  {
57    utility::matrix X=utility::matrix(x.size(),power_+1,1);
58    for (size_t i=0; i<X.rows(); ++i)
59      for (u_int j=1; j<X.columns(); j++)
60        X(i,j)=X(i,j-1)*x(i);
61    md_.fit(X,y);
62  }
63
64
65  const utility::vector& Polynomial::fit_parameters(void) const
66  {
67    return md_.fit_parameters(); 
68  }
69
70
71  double Polynomial::predict(const double x) const
72  {
73    utility::vector vec(power_+1,1);
74    for (size_t i=1; i<=power_; ++i)
75      vec(i) = vec(i-1)*x;
76    return md_.predict(vec);
77  }
78
79
80  double Polynomial::standard_error2(const double x) const
81  {
82    utility::vector vec(power_+1,1);
83    for (size_t i=1; i<=power_; ++i)
84      vec(i) = vec(i-1)*x;
85    return md_.standard_error2(vec);
86  }
87
88}}} // of namespaces regression, yat, and theplu
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