# source:trunk/yat/regression/Polynomial.cc@703

Last change on this file since 703 was 703, checked in by Jari Häkkinen, 16 years ago

• Property svn:eol-style set to `native`
• Property svn:keywords set to `Id`
File size: 1.7 KB
Line
1// \$Id: Polynomial.cc 703 2006-12-18 00:47:44Z 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
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(), mse_(0), power_(power)
34  {
35  }
36
37  Polynomial::~Polynomial(void)
38  {
39  }
40
41  void Polynomial::fit(const utility::vector& x, const utility::vector& y)
42  {
43    utility::matrix X=utility::matrix(x.size(),power_+1,1);
44    for (size_t i=0; i<X.rows(); ++i)
45      for (u_int j=1; j<X.columns(); j++)
46        X(i,j)=X(i,j-1)*x(i);
47    md_.fit(X,y);
48  }
49
50  double Polynomial::predict(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_.predict(vec);
56  }
57
58
59  double Polynomial::standard_error(const double x) const
60  {
61    utility::vector vec(power_+1,1);
62    for (size_t i=1; i<=power_; ++i)
63      vec(i) = vec(i-1)*x;
64    return md_.standard_error(vec);
65  }
66
67}}} // of namespaces regression, yat, and theplu
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