TargetInfo.h

00001 /*          
00002  *             Copyright (C) 2005 Maarten Keijzer
00003  *
00004  *          This program is free software; you can redistribute it and/or modify
00005  *          it under the terms of version 2 of the GNU General Public License as 
00006  *          published by the Free Software Foundation. 
00007  *
00008  *          This program is distributed in the hope that it will be useful,
00009  *          but WITHOUT ANY WARRANTY; without even the implied warranty of
00010  *          MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00011  *          GNU General Public License for more details.
00012  *
00013  *          You should have received a copy of the GNU General Public License
00014  *          along with this program; if not, write to the Free Software
00015  *          Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
00016  */
00017 
00018 #ifndef TARGETINFO_H_
00019 #define TARGETINFO_H_
00020 
00021 #include <valarray>
00022 #include <vector>
00023 
00024 class TargetInfo {
00025     std::valarray<double> _targets;
00026     std::valarray<double> _weights;
00027     std::valarray<bool>   _training_mask;
00028 
00029     // some stuff for ols
00030     std::valarray<double> _tcov_part;
00031     double _tmean;
00032     double _tvar;
00033     double _tstd;
00034     double _tmed;
00035 
00036     public:
00037     TargetInfo() {}
00038 
00039     TargetInfo(const std::valarray<double>& t);
00040     TargetInfo(const std::valarray<double>& t, const std::valarray<double>& w);
00041 
00042     TargetInfo(const TargetInfo& org);
00043     TargetInfo& operator=(const TargetInfo& org);
00044     ~TargetInfo() {}
00045 
00046     const std::valarray<double>& targets() const { return _targets; }
00047     const std::valarray<double>& weights() const { return _weights; }
00048     const std::valarray<bool>&   mask() const { return _training_mask; }
00049 
00050     void set_training_mask(const std::valarray<bool>& mask);
00051 
00052     bool has_weights() const { return _weights.size(); }
00053     bool has_mask()    const { return _training_mask.size(); }
00054 
00055     std::vector<int> sort();
00056 
00057     const std::valarray<double>& tcov_part() const { return _tcov_part; }
00058     double tmean() const { return _tmean; }
00059     double tvar()  const { return _tvar; }
00060     double tstd()  const { return _tstd; }
00061     double devmedian() const { return _tmed; }
00062 };
00063 
00064 #endif
00065 

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