yat  0.21pre
Polynomial.h
1 #ifndef _theplu_yat_regression_polynomial_
2 #define _theplu_yat_regression_polynomial_
3 
4 // $Id: Polynomial.h 4207 2022-08-26 04:36:28Z peter $
5 
6 /*
7  Copyright (C) 2005, 2006, 2007, 2008 Jari Häkkinen, Peter Johansson
8  Copyright (C) 2022 Peter Johansson
9 
10  This file is part of the yat library, http://dev.thep.lu.se/yat
11 
12  The yat library is free software; you can redistribute it and/or
13  modify it under the terms of the GNU General Public License as
14  published by the Free Software Foundation; either version 3 of the
15  License, or (at your option) any later version.
16 
17  The yat library is distributed in the hope that it will be useful,
18  but WITHOUT ANY WARRANTY; without even the implied warranty of
19  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
20  General Public License for more details.
21 
22  You should have received a copy of the GNU General Public License
23  along with yat. If not, see <http://www.gnu.org/licenses/>.
24 */
25 
26 #include "OneDimensional.h"
27 #include "MultiDimensional.h"
28 
29 namespace theplu {
30 namespace yat {
31 namespace utility {
32  class VectorBase;
33 }
34 namespace regression {
35 
42  class Polynomial : public OneDimensional
43  {
44  public:
45 
49  explicit Polynomial(size_t power);
50 
54  ~Polynomial(void);
55 
59  const utility::Matrix& covariance(void) const;
60 
65  void fit(const utility::VectorBase& x, const utility::VectorBase& y);
66 
72  const utility::Vector& fit_parameters(void) const;
73 
77  double predict(const double x) const;
78 
85  double s2(void) const;
86 
90  double standard_error2(const double x) const;
91 
92  private:
93  MultiDimensional md_;
94  size_t power_;
95 
96  };
97 
98 }}} // of namespaces regression, yat, and theplu
99 
100 #endif
double standard_error2(const double x) const
The Department of Theoretical Physics namespace as we define it.
void fit(const utility::VectorBase &x, const utility::VectorBase &y)
double predict(const double x) const
Linear MultiDimesional regression.
Definition: MultiDimensional.h:40
const utility::Matrix & covariance(void) const
covariance of parameters
This is the yat interface to GSL vector.
Definition: Vector.h:59
This is the yat interface to GSL vector.
Definition: VectorBase.h:55
Interface Class for One Dimensional fitting.
Definition: OneDimensional.h:43
Interface to GSL matrix.
Definition: Matrix.h:104
Polynomial regression.
Definition: Polynomial.h:42
const utility::Vector & fit_parameters(void) const

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