yat  0.8.3pre
MultiDimensional.h
00001 #ifndef _theplu_yat_regression_multidimensional_
00002 #define _theplu_yat_regression_multidimensional_
00003 
00004 // $Id: MultiDimensional.h 2126 2009-12-22 20:45:07Z peter $
00005 
00006 /*
00007   Copyright (C) 2005, 2006, 2007, 2008 Jari Häkkinen, Peter Johansson
00008   Copyright (C) 2009 Peter Johansson
00009 
00010   This file is part of the yat library, http://dev.thep.lu.se/yat
00011 
00012   The yat library is free software; you can redistribute it and/or
00013   modify it under the terms of the GNU General Public License as
00014   published by the Free Software Foundation; either version 3 of the
00015   License, or (at your option) any later version.
00016 
00017   The yat library is distributed in the hope that it will be useful,
00018   but WITHOUT ANY WARRANTY; without even the implied warranty of
00019   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
00020   General Public License for more details.
00021 
00022   You should have received a copy of the GNU General Public License
00023   along with yat. If not, see <http://www.gnu.org/licenses/>.
00024 */
00025 
00026 #include "yat/utility/Matrix.h"
00027 #include "yat/utility/Vector.h"
00028 
00029 #include <gsl/gsl_multifit.h>
00030 
00031 namespace theplu {
00032 namespace yat {
00033 namespace regression {
00034 
00038   class MultiDimensional
00039   {
00040   public:
00041 
00045     MultiDimensional(void);
00046 
00050     ~MultiDimensional(void);
00051 
00055     const utility::Matrix& covariance(void) const;
00056 
00067     void fit(const utility::Matrix& X, const utility::VectorBase& y);
00068 
00072     const utility::Vector& fit_parameters(void) const;
00073 
00077     double chisq(void) const;
00078 
00082     double predict(const utility::VectorBase& x) const;
00083 
00088     double prediction_error2(const utility::VectorBase& x) const;
00089 
00093     double standard_error2(const utility::VectorBase& x) const;
00094 
00095   private:
00096     // no copy allowed
00097     MultiDimensional(const MultiDimensional&);
00098     MultiDimensional& operator=(const MultiDimensional&);
00099 
00100     double chisquare_;
00101     double s2_;
00102     utility::Matrix covariance_;
00103     utility::Vector fit_parameters_;
00104     gsl_multifit_linear_workspace* work_;
00105 
00106   };
00107 
00108 }}} // of namespaces regression, yat, and theplu
00109 
00110 #endif

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