source: trunk/c++_tools/statistics/Polynomial.cc @ 675

Last change on this file since 675 was 675, checked in by Jari Häkkinen, 15 years ago

References #83. Changing project name to yat. Compilation will fail in this revision.

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 1.8 KB
Line 
1// $Id: Polynomial.cc 675 2006-10-10 12:08:45Z jari $
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 "yat/statistics/Polynomial.h"
25#include "yat/utility/matrix.h"
26#include "yat/utility/vector.h"
27
28namespace theplu {
29namespace statistics {
30namespace regression {
31
32
33  void Polynomial::fit(const utility::vector& x, const utility::vector& y)
34  {
35    utility::matrix X=utility::matrix(x.size(),power_+1,1);
36    for (size_t i=0; i<X.rows(); ++i)
37      for (u_int j=1; j<X.columns(); j++)
38        X(i,j)=X(i,j-1)*x(i);
39    md_.fit(X,y);
40  }
41
42  double Polynomial::predict(const double x) const
43  {
44    utility::vector vec(power_+1,1);
45    for (size_t i=1; i<=power_; ++i)
46      vec(i) = vec(i-1)*x;
47    return md_.predict(vec);
48  }
49
50  double Polynomial::prediction_error(const double x) const
51  {
52    utility::vector vec(power_+1,1);
53    for (size_t i=1; i<=power_; ++i)
54      vec(i) = vec(i-1)*x;
55    return md_.prediction_error(vec);
56  }
57
58  double Polynomial::standard_error(const double x) const
59  {
60    utility::vector vec(power_+1,1);
61    for (size_t i=1; i<=power_; ++i)
62      vec(i) = vec(i-1)*x;
63    return md_.standard_error(vec);
64  }
65
66}}} // of namespaces regression, statisitcs and thep
Note: See TracBrowser for help on using the repository browser.