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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"                "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head>  <title>Description of lincEval</title>  <meta name="keywords" content="lincEval">  <meta name="description" content="lincEval: Evaluation of linear classifier">  <meta http-equiv="Content-Type" content="text/html; charset=big5">  <meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">  <meta name="robots" content="index, follow">  <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> &gt;  <a href="index.html">dcpr</a> &gt; lincEval.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for dcpr&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>lincEval</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>lincEval: Evaluation of linear classifier</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function [lincOutput, recogRate, errorIndex1, errorIndex2, regOutput, regError]=lincEval(DS, coef) </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> lincEval: Evaluation of linear classifier
    Usage: [lincOutput, recogRate, errorIndex1, errorIndex2, regOutput, regError]=lincEval(DS, coef)</pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="lincTrainMre.html" class="code" title="function [recogRate, coef, regError]=lincTrainMre(DS, CParam, plotOpt)">lincTrainMre</a>	lincTrainMre: Linear classifier training for min. regression error</li><li><a href="lincTrainWidro.html" class="code" title="function [recogRate, coef, allRecogRate, allCoef]=lincTrainWidro(DS, trainParam, plotOpt)">lincTrainWidro</a>	lincTrainWidro: Linear classifier (Perceptron) training using (revised) Widro-Hoff method</li></ul><!-- crossreference --><h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre>0001 <a name="_sub0" href="#_subfunctions" class="code">function [lincOutput, recogRate, errorIndex1, errorIndex2, regOutput, regError]=lincEval(DS, coef)</a>0002 <span class="comment">% lincEval: Evaluation of linear classifier</span>0003 <span class="comment">%    Usage: [lincOutput, recogRate, errorIndex1, errorIndex2, regOutput, regError]=lincEval(DS, coef)</span>0004 0005 <span class="comment">%    Roger Jang, 20041106</span>0006 0007 [dim, dataNum]=size(DS.input);0008 <span class="comment">% Preapre A matrix for A*x=desired</span>0009 regOutput=coef'*[DS.input; ones(1, dataNum)];    <span class="comment">% Regression output</span>0010 lincOutput=-ones(1, dataNum);            <span class="comment">% Classification output</span>0011 lincOutput(regOutput&gt;0)=1;0012 0013 <span class="keyword">if</span> isfield(DS, <span class="string">'output'</span>)0014     desired=-ones(1, dataNum);0015     desired(DS.output&gt;0)=1;0016     recogRate=sum(lincOutput==desired)/dataNum;    <span class="comment">% Classification recognition rate</span>0017     errorIndex1=find(desired&lt;0 &amp; lincOutput&gt;0);    <span class="comment">% - ===&gt; +</span>0018     errorIndex2=find(desired&gt;0 &amp; lincOutput&lt;0);    <span class="comment">% + ===&gt; -</span>0019     regError=sum((regOutput-desired).^2);        <span class="comment">% Regression MSE</span>0020     errorIndex1=find(desired&lt;0 &amp; lincOutput&gt;0);    <span class="comment">% - ===&gt; +</span>0021     errorIndex2=find(desired&gt;0 &amp; lincOutput&lt;0);    <span class="comment">% + ===&gt; -</span>0022 <span class="keyword">end</span></pre></div><hr><address>Generated on Thu 30-Oct-2008 12:53:56 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> &copy; 2003</address></body></html>
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