yat  0.14.5pre
Pearson.h
1 #ifndef _theplu_yat_statistics_pearson_
2 #define _theplu_yat_statistics_pearson_
3 
4 // $Id: Pearson.h 2992 2013-03-03 05:03:44Z peter $
5 
6 /*
7  Copyright (C) 2004, 2005 Peter Johansson
8  Copyright (C) 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér
9  Copyright (C) 2007, 2008 Jari Häkkinen, Peter Johansson
10 
11  This file is part of the yat library, http://dev.thep.lu.se/yat
12 
13  The yat library is free software; you can redistribute it and/or
14  modify it under the terms of the GNU General Public License as
15  published by the Free Software Foundation; either version 3 of the
16  License, or (at your option) any later version.
17 
18  The yat library is distributed in the hope that it will be useful,
19  but WITHOUT ANY WARRANTY; without even the implied warranty of
20  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
21  General Public License for more details.
22 
23  You should have received a copy of the GNU General Public License
24  along with yat. If not, see <http://www.gnu.org/licenses/>.
25 */
26 
27 #include "Score.h"
28 
29 namespace theplu {
30 namespace yat {
31 namespace utility {
32  class VectorBase;
33 }
34 namespace statistics {
35 
39 
40  class Pearson : public Score
41  {
42  public:
46  Pearson(bool absolute=true);
47 
51  virtual ~Pearson(void);
52 
53 
60  double score(const classifier::Target& target,
61  const utility::VectorBase& value) const;
62 
72  double score(const classifier::Target& target,
73  const classifier::DataLookupWeighted1D& value) const;
74 
84  double score(const classifier::Target& target,
85  const utility::VectorBase& value,
86  const utility::VectorBase& weight) const;
87 
88  };
89 
90 }}} // of namespace statistics, yat, and theplu
91 
92 #endif
Pearson(bool absolute=true)
The default constructor.
Class for containing sample labels.
Definition: Target.h:47
Class for calculating Pearson correlation.
Definition: Pearson.h:40
This is the yat interface to GSL vector.
Definition: VectorBase.h:52
Interface Class for score classes.
Definition: Score.h:42
void absolute(bool absolute)
Function changing mode of Score.
double score(const classifier::Target &target, const utility::VectorBase &value) const
virtual ~Pearson(void)
The destructor.
Class for general weighted vector view.
Definition: DataLookupWeighted1D.h:43

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