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<a class="el" href="dir_000007.html">contrib</a> / <a class="el" href="dir_000008.html">mathsym</a> / <a class="el" href="dir_000012.html">regression</a></div>
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<h1>TargetInfo.h</h1><div class="fragment"><pre class="fragment">00001 <span class="comment">/* </span>
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00002 <span class="comment"> * Copyright (C) 2005 Maarten Keijzer</span>
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00003 <span class="comment"> *</span>
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00004 <span class="comment"> * This program is free software; you can redistribute it and/or modify</span>
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00005 <span class="comment"> * it under the terms of version 2 of the GNU General Public License as </span>
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00006 <span class="comment"> * published by the Free Software Foundation. </span>
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00007 <span class="comment"> *</span>
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00008 <span class="comment"> * This program is distributed in the hope that it will be useful,</span>
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00009 <span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span>
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00010 <span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the</span>
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00011 <span class="comment"> * GNU General Public License for more details.</span>
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00012 <span class="comment"> *</span>
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00013 <span class="comment"> * You should have received a copy of the GNU General Public License</span>
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00014 <span class="comment"> * along with this program; if not, write to the Free Software</span>
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00015 <span class="comment"> * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA</span>
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00016 <span class="comment"> */</span>
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00017
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00018 <span class="preprocessor">#ifndef TARGETINFO_H_</span>
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00019 <span class="preprocessor"></span><span class="preprocessor">#define TARGETINFO_H_</span>
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00020 <span class="preprocessor"></span>
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00021 <span class="preprocessor">#include <valarray></span>
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00022 <span class="preprocessor">#include <vector></span>
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00023
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00024 <span class="keyword">class </span>TargetInfo {
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00025 std::valarray<double> _targets;
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00026 std::valarray<double> _weights;
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00027 std::valarray<bool> _training_mask;
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00028
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00029 <span class="comment">// some stuff for ols</span>
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00030 std::valarray<double> _tcov_part;
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00031 <span class="keywordtype">double</span> _tmean;
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00032 <span class="keywordtype">double</span> _tvar;
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00033 <span class="keywordtype">double</span> _tstd;
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00034 <span class="keywordtype">double</span> _tmed;
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00035
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00036 <span class="keyword">public</span>:
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00037 TargetInfo() {}
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00038
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00039 TargetInfo(<span class="keyword">const</span> std::valarray<double>& t);
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00040 TargetInfo(<span class="keyword">const</span> std::valarray<double>& t, <span class="keyword">const</span> std::valarray<double>& w);
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00041
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00042 TargetInfo(<span class="keyword">const</span> TargetInfo& org);
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00043 TargetInfo& operator=(<span class="keyword">const</span> TargetInfo& org);
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00044 ~TargetInfo() {}
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00045
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00046 <span class="keyword">const</span> std::valarray<double>& targets()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _targets; }
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00047 <span class="keyword">const</span> std::valarray<double>& weights()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _weights; }
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00048 <span class="keyword">const</span> std::valarray<bool>& mask()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _training_mask; }
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00049
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00050 <span class="keywordtype">void</span> set_training_mask(<span class="keyword">const</span> std::valarray<bool>& mask);
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00051
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00052 <span class="keywordtype">bool</span> has_weights()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _weights.size(); }
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00053 <span class="keywordtype">bool</span> has_mask()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _training_mask.size(); }
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00054
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00055 std::vector<int> sort();
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00056
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00057 <span class="keyword">const</span> std::valarray<double>& tcov_part()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _tcov_part; }
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00058 <span class="keywordtype">double</span> tmean()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _tmean; }
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00059 <span class="keywordtype">double</span> tvar()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _tvar; }
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00060 <span class="keywordtype">double</span> tstd()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _tstd; }
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00061 <span class="keywordtype">double</span> devmedian()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> _tmed; }
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00062 };
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00063
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00064 <span class="preprocessor">#endif</span>
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00065 <span class="preprocessor"></span>
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</pre></div><hr size="1"><address style="align: right;"><small>Generated on Thu Oct 19 05:06:44 2006 for EO by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.3.9.1 </small></address>
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