source: trunk/yat/regression/Naive.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 Author Date Id Revision
File size: 1.6 KB
Line 
1// $Id: Naive.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 "Naive.h"
25#include "OneDimensional.h"
26#include "yat/statistics/Averager.h"
27#include "yat/statistics/AveragerWeighted.h"
28#include "yat/utility/vector.h"
29
30#include <cmath>
31#include <iostream>
32
33namespace theplu {
34namespace yat {
35namespace regression {
36
37  Naive::Naive(void)
38    : OneDimensional(), mse_(0.0)
39  {
40  }
41
42  Naive::~Naive(void)
43  {
44  }
45
46
47  double Naive::chisq(void) const 
48  { 
49    return ap_.y_averager().sum_xx_centered(); 
50  }
51 
52
53  void Naive::fit(const utility::vector& x, const utility::vector& y)
54  {
55    ap_.reset();
56    for (size_t i=0; i<y.size(); i++)
57      ap_.add(x(i),y(i));
58   
59  }
60
61
62  double Naive::predict(const double x) const
63  { 
64    return ap_.y_averager().mean(); 
65  }
66 
67
68  double Naive::standard_error2(const double x) const
69  {
70    return chisq()/ap_.n()/(ap_.n()-1);
71  }
72
73}}} // of namespaces regression, yat, and theplu
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