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<title>EO: Scaling.h Source File</title>
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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>Scaling.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 SCALING_H_</span>
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00019 <span class="preprocessor"></span><span class="preprocessor">#define SCALING_H_</span>
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00020 <span class="preprocessor"></span>
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00021 <span class="preprocessor">#include "shared_ptr.h"</span>
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00022
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00023 <span class="preprocessor">#include <valarray></span>
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00024 <span class="preprocessor">#include <iostream></span>
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00025 <span class="preprocessor">#include <string></span>
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00026
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00027 <span class="keyword">class </span>TargetInfo;
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00028
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00029 <span class="keyword">class </span>ScalingBase {
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00030 <span class="keyword">public</span>:
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00031
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00032 <span class="keyword">virtual</span> ~ScalingBase() {}
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00033
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00034 std::valarray<double> apply(<span class="keyword">const</span> std::valarray<double>& x) {
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00035 std::valarray<double> xtmp = x;
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00036 transform(xtmp);
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00037 <span class="keywordflow">return</span> xtmp;
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00038 }
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00039
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00040 <span class="keyword">virtual</span> <span class="keywordtype">double</span> transform(<span class="keywordtype">double</span> input) <span class="keyword">const </span>= 0;
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00041 <span class="keyword">virtual</span> <span class="keywordtype">void</span> transform(std::valarray<double>& inputs) <span class="keyword">const </span>= 0;
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00042 <span class="keyword">virtual</span> std::ostream& print(std::ostream& os, std::string str) <span class="keyword">const </span>= 0;
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00043 <span class="keyword">virtual</span> std::valarray<double> transform(<span class="keyword">const</span> std::valarray<double>& inputs) <span class="keyword">const </span>= 0;
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00044 };
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00045
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00046 <span class="keyword">typedef</span> shared_ptr<ScalingBase> Scaling;
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00047
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00048 <span class="keyword">class </span>LinearScaling : <span class="keyword">public</span> ScalingBase {
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00049
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00050 <span class="keywordtype">double</span> a,b;
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00051
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00052 <span class="keyword">public</span>:
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00053 LinearScaling() : a(0.0), b(1.0) {}
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00054 LinearScaling(<span class="keywordtype">double</span> _a, <span class="keywordtype">double</span> _b) : a(_a), b(_b) {}
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00055
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00056 <span class="keywordtype">double</span> transform(<span class="keywordtype">double</span> input)<span class="keyword"> const </span>{ input *=b; input += a; <span class="keywordflow">return</span> input; }
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00057 <span class="keywordtype">void</span> transform(std::valarray<double>& inputs)<span class="keyword"> const </span>{ inputs *= b; inputs += a; }
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00058 std::valarray<double> transform(<span class="keyword">const</span> std::valarray<double>& inputs)<span class="keyword"> const </span>{
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00059 std::valarray<double> y = a + b * inputs;
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00060 <span class="keywordflow">return</span> y;
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00061 }
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00062
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00063 <span class="keywordtype">double</span> intercept()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a; }
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00064 <span class="keywordtype">double</span> slope()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> b; }
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00065
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00066 std::ostream& print(std::ostream& os, std::string str)<span class="keyword"> const </span>{
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00067 os.precision(16);
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00068 os << a << <span class="stringliteral">" + "</span> << b << <span class="stringliteral">" * "</span> << str;
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00069 <span class="keywordflow">return</span> os;
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00070 }
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00071 };
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00072
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00073 <span class="keyword">class </span>NoScaling : <span class="keyword">public</span> ScalingBase{
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00074 <span class="keywordtype">void</span> transform(std::valarray<double>&)<span class="keyword"> const </span>{}
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00075 <span class="keywordtype">double</span> transform(<span class="keywordtype">double</span> input)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> input; }
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00076 std::valarray<double> transform(<span class="keyword">const</span> std::valarray<double>& inputs)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> inputs; }
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00077 std::ostream& print(std::ostream& os, std::string str)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> os << str; }
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00078 };
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00079
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00080 <span class="keyword">extern</span> Scaling slope(<span class="keyword">const</span> std::valarray<double>& inputs, <span class="keyword">const</span> TargetInfo& targets); <span class="comment">// slope only</span>
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00081 <span class="keyword">extern</span> Scaling ols(<span class="keyword">const</span> std::valarray<double>& inputs, <span class="keyword">const</span> TargetInfo& targets);
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00082 <span class="keyword">extern</span> Scaling wls(<span class="keyword">const</span> std::valarray<double>& inputs, <span class="keyword">const</span> TargetInfo& targets);
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00083 <span class="keyword">extern</span> Scaling med(<span class="keyword">const</span> std::valarray<double>& inputs, <span class="keyword">const</span> TargetInfo& targets);
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00084
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00085 <span class="keyword">extern</span> Scaling ols(<span class="keyword">const</span> std::valarray<double>& inputs, <span class="keyword">const</span> std::valarray<double>& outputs);
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00086
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00087 <span class="keyword">extern</span> <span class="keywordtype">double</span> mse(<span class="keyword">const</span> std::valarray<double>& y, <span class="keyword">const</span> TargetInfo& t);
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00088 <span class="keyword">extern</span> <span class="keywordtype">double</span> rms(<span class="keyword">const</span> std::valarray<double>& y, <span class="keyword">const</span> TargetInfo& t);
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00089 <span class="keyword">extern</span> <span class="keywordtype">double</span> mae(<span class="keyword">const</span> std::valarray<double>& y, <span class="keyword">const</span> TargetInfo& t);
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00090
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00091 <span class="comment">// Todo Logistic Scaling</span>
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00092
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00093 <span class="preprocessor">#endif</span>
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00094 <span class="preprocessor"></span>
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00095
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</pre></div><hr size="1"><address style="align: right;"><small>Generated on Thu Oct 19 05:06:42 2006 for EO by
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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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