source: trunk/yat/regression/Naive.cc @ 1650

Last change on this file since 1650 was 1487, checked in by Jari Häkkinen, 13 years ago

Addresses #436. GPL license copy reference should also be updated.

  • 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 1487 2008-09-10 08:41:36Z jari $
2
3/*
4  Copyright (C) 2004 Peter Johansson
5  Copyright (C) 2005, 2006, 2007 Jari Häkkinen, Peter Johansson
6  Copyright (C) 2008 Peter Johansson
7
8  This file is part of the yat library, http://dev.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 3 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 yat. If not, see <http://www.gnu.org/licenses/>.
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/VectorBase.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  void Naive::fit(const utility::VectorBase& x, const utility::VectorBase& y)
48  {
49    ap_.reset();
50    for (size_t i=0; i<y.size(); i++)
51      ap_.add(x(i),y(i));
52    chisq_ = ap_.y_averager().sum_xx_centered();
53  }
54
55
56  double Naive::predict(const double x) const
57  { 
58    return ap_.y_averager().mean(); 
59  }
60 
61
62  double Naive::s2(void) const
63  {
64    return chisq()/(ap_.n()-1);
65  }
66
67
68  double Naive::standard_error2(const double x) const
69  {
70    return s2()/ap_.n();
71  }
72
73}}} // of namespaces regression, yat, and theplu
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