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// $Id$ |
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/* |
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Copyright (C) 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, Markus Ringnér |
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Copyright (C) 2010, 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 "Kernel.h" |
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#include "DataLookup1D.h" |
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#include "DataLookupWeighted1D.h" |
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#include "KernelFunction.h" |
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#include "MatrixLookup.h" |
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#include "MatrixLookupWeighted.h" |
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#include "yat/utility/Exception.h" |
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|
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#include <cassert> |
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#include <vector> |
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|
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namespace theplu { |
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namespace yat { |
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namespace classifier { |
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Kernel::Kernel(const MatrixLookup& data, const KernelFunction& kf, |
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const bool own) |
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: ml_(&data), mlw_(0), kf_(&kf), ref_count_w_(NULL) |
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{ |
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if (own) |
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ref_count_ = new unsigned int(1); |
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else |
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ref_count_ = NULL; |
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} |
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|
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Kernel::Kernel(const MatrixLookupWeighted& data, const KernelFunction& kf, |
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const bool own) |
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: ml_(NULL), mlw_(&data), kf_(&kf) |
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{ |
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if (own){ |
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ref_count_w_ = new unsigned int(1); |
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} |
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else { |
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ref_count_w_ = NULL; |
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} |
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ref_count_ = NULL; |
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} |
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|
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|
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Kernel::Kernel(const Kernel& other, const std::vector<size_t>& index) |
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: kf_(other.kf_) |
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{ |
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|
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if (other.weighted()){ |
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mlw_ = new MatrixLookupWeighted(*other.mlw_, utility::Index(index), |
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utility::Index(other.mlw_->columns())); |
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ref_count_w_ = new unsigned int(1); |
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ml_=NULL; |
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ref_count_ = NULL; |
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} |
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else{ |
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ml_ = new MatrixLookup(*other.ml_, utility::Index(index),true); |
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ref_count_ = new unsigned int(1); |
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mlw_=NULL; |
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ref_count_w_ = NULL; |
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} |
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|
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} |
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|
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Kernel::~Kernel() |
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{ |
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if (ref_count_) |
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if (!--(*ref_count_)) |
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delete ml_; |
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|
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if (ref_count_w_) |
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if (!--(*ref_count_w_)) |
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delete mlw_; |
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|
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} |
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const MatrixLookup& Kernel::data(void) const |
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{ |
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if (weighted()) |
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throw utility::runtime_error("Kernel::data when Kernel is weighted"); |
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assert(ml_); |
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return *ml_; |
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} |
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|
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const MatrixLookupWeighted& Kernel::data_weighted(void) const |
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{ |
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if (!weighted()) |
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throw utility::runtime_error("Kernel:data_weighted when Kernel is unweighted"); |
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assert(mlw_); |
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return *mlw_; |
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} |
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|
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|
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double Kernel::element(const DataLookup1D& vec, const size_t i) const |
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{ |
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if (weighted()) |
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return kf_->operator()(vec, DataLookupWeighted1D(*mlw_,i, false)); |
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else |
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return kf_->operator()(vec,DataLookup1D(*ml_,i, false)); |
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} |
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|
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|
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double Kernel::element(const DataLookupWeighted1D& vec, const size_t i) const |
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{ |
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if (weighted()) |
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return kf_->operator()(vec, DataLookupWeighted1D(*mlw_,i, false)); |
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else |
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return kf_->operator()(vec, DataLookup1D(*ml_,i, false)); |
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} |
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|
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|
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size_t Kernel::size(void) const |
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{ |
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if (weighted()) |
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return mlw_->columns(); |
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assert(ml_); |
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return ml_->columns(); |
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} |
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|
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|
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bool Kernel::weighted(void) const |
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{ |
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return mlw_; |
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} |
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|
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}}} // of namespace classifier, yat, and theplu |