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// $Id$ |
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/* |
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Copyright (C) 2004 Peter Johansson |
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Copyright (C) 2005, 2006 Jari Häkkinen, Peter Johansson |
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Copyright (C) 2007 Peter Johansson |
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Copyright (C) 2008 Jari Häkkinen, Peter Johansson |
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Copyright (C) 2012 Peter Johansson |
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This file is part of the yat library, http://dev.thep.lu.se/yat |
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The yat library is free software; you can redistribute it and/or |
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modify it under the terms of the GNU General Public License as |
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published by the Free Software Foundation; either version 3 of the |
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License, or (at your option) any later version. |
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|
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The yat library is distributed in the hope that it will be useful, |
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but WITHOUT ANY WARRANTY; without even the implied warranty of |
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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General Public License for more details. |
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|
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You should have received a copy of the GNU General Public License |
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along with yat. If not, see <http://www.gnu.org/licenses/>. |
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*/ |
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#include <config.h> |
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#include "Naive.h" |
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#include "OneDimensional.h" |
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#include "yat/statistics/Averager.h" |
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#include "yat/statistics/AveragerWeighted.h" |
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#include "yat/utility/VectorBase.h" |
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namespace theplu { |
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namespace yat { |
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namespace regression { |
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Naive::Naive(void) |
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: OneDimensional(), mse_(0.0) |
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{ |
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} |
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|
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Naive::~Naive(void) |
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{ |
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} |
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void Naive::fit(const utility::VectorBase& x, const utility::VectorBase& y) |
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{ |
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ap_.reset(); |
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for (size_t i=0; i<y.size(); i++) |
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ap_.add(x(i),y(i)); |
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chisq_ = ap_.y_averager().sum_xx_centered(); |
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} |
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double Naive::predict(const double x) const |
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{ |
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return ap_.y_averager().mean(); |
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} |
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double Naive::s2(void) const |
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{ |
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return chisq()/(ap_.n()-1); |
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} |
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|
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|
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double Naive::standard_error2(const double x) const |
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{ |
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return s2()/ap_.n(); |
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} |
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}}} // of namespaces regression, yat, and theplu |