# source:trunk/src/Regression.h@221

Last change on this file since 221 was 221, checked in by Peter, 18 years ago

interface to regression modified

• Property svn:eol-style set to native
• Property svn:keywords set to Author Date Id Revision
File size: 1.4 KB
Line
1// $Id: Regression.h 221 2004-12-30 22:36:25Z peter$
2
3#ifndef _theplu_statistics_regression_
4#define _theplu_statistics_regression_
5
6// C++ tools include
7/////////////////////
8#include "vector.h"
9
10// Standard C++ includes
11////////////////////////
12
13
14namespace theplu {
15namespace statistics {
16
17
18  ///
19  /// Virtual Class for Regression.
20  ///
21
22  class Regression
23  {
24
25  public:
26    ///
27    /// Default Constructor.
28    ///
29    Regression();
30
31    ///
32    /// Destructor
33    ///
34    virtual ~Regression(void) {};
35
36    ///
37    /// This function computes the best-fit given a model (see
38    /// specific class for details) by minimizing \f$39 /// \sum{(\hat{y_i}-y_i)^2} \f$, where \f$\hat{y} \f$ is the fitted value.
40    ///
41    virtual void fit(const gslapi::vector& x, const gslapi::vector& y)=0;
42
43    ///
44    /// This function computes the best-fit given a model (see
45    /// specific class for details) by minimizing \f$46 /// \sum{w_i(\hat{y_i}-y_i)^2} \f$, where \f$\hat{y} \f$ is the
47    /// fitted value. The weight \f$w_i \f$ is should be proportional
48    /// to the inverse of the variance for \f$y_i \f$
49    ///
50    virtual void fit(const gslapi::vector& x, const gslapi::vector& y,
51                    const gslapi::vector& w)=0;
52    ///
53    ///
54    ///
55    virtual void predict(const double x, double& y, double& y_err,
56                         const double w=1) const=0;
57
58  protected:
59
60  };
61
62}} // of namespace statistics and namespace theplu
63
64#endif
65
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