source: trunk/yat/regression/Polynomial.cc @ 1271

Last change on this file since 1271 was 1271, checked in by Peter, 13 years ago

replaced u_int with unsigned int or size_t

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 2.2 KB
Line 
1// $Id: Polynomial.cc 1271 2008-04-09 16:11:07Z peter $
2
3/*
4  Copyright (C) 2005 Jari Häkkinen
5  Copyright (C) 2006 Jari Häkkinen, Peter Johansson
6  Copyright (C) 2007 Peter Johansson
7
8  This file is part of the yat library, http://trac.thep.lu.se/yat
9
10  The yat library is free software; you can redistribute it and/or
11  modify it under the terms of the GNU General Public License as
12  published by the Free Software Foundation; either version 2 of the
13  License, or (at your option) any later version.
14
15  The yat library is distributed in the hope that it will be useful,
16  but WITHOUT ANY WARRANTY; without even the implied warranty of
17  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18  General Public License for more details.
19
20  You should have received a copy of the GNU General Public License
21  along with this program; if not, write to the Free Software
22  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
23  02111-1307, USA.
24*/
25
26#include "Polynomial.h"
27#include "yat/utility/Matrix.h"
28#include "yat/utility/VectorBase.h"
29
30namespace theplu {
31namespace yat {
32namespace regression {
33
34  Polynomial::Polynomial(size_t power)
35    : OneDimensional(), power_(power)
36  {
37  }
38
39
40  Polynomial::~Polynomial(void)
41  {
42  }
43
44
45  const utility::Matrix& Polynomial::covariance(void) const
46  {
47    return md_.covariance();
48  }
49
50
51  void Polynomial::fit(const utility::VectorBase& x, 
52                       const utility::VectorBase& y)
53  {
54    add(ap_, x.begin(), x.end(), y.begin());
55    utility::Matrix X=utility::Matrix(x.size(),power_+1,1);
56    for (size_t i=0; i<X.rows(); ++i)
57      for (size_t j=1; j<X.columns(); ++j)
58        X(i,j)=X(i,j-1)*x(i);
59    md_.fit(X,y);
60    chisq_ = md_.chisq();
61  }
62
63
64  const utility::Vector& Polynomial::fit_parameters(void) const
65  {
66    return md_.fit_parameters(); 
67  }
68
69
70  double Polynomial::predict(const double x) const
71  {
72    utility::Vector vec(power_+1,1);
73    for (size_t i=1; i<=power_; ++i)
74      vec(i) = vec(i-1)*x;
75    return md_.predict(vec);
76  }
77
78
79  double Polynomial::s2(void) const
80  {
81    return chisq()/(ap_.n()-power_-1);
82  }
83
84
85  double Polynomial::standard_error2(const double x) const
86  {
87    utility::Vector vec(power_+1,1);
88    for (size_t i=1; i<=power_; ++i)
89      vec(i) = vec(i-1)*x;
90    return md_.standard_error2(vec);
91  }
92
93}}} // of namespaces regression, yat, and theplu
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