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📁 很好的matlab模式识别工具箱
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<html><head>  <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1">  <title>crossval.m</title><link rel="stylesheet" type="text/css" href="../../m-syntax.css"></head><body><code><span class=defun_kw>function</span>&nbsp;<span class=defun_out>[itrn,itst]</span>=<span class=defun_name>crossval</span>(<span class=defun_in>num_data,num_folds</span>)<br><span class=h1>%&nbsp;CROSSVAL&nbsp;Partitions&nbsp;data&nbsp;for&nbsp;cross-validation.</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Synopsis:</span></span><br><span class=help>%&nbsp;&nbsp;[itrn,itst]&nbsp;=&nbsp;crossval(num_data,num_folds)</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Description:</span></span><br><span class=help>%&nbsp;&nbsp;This&nbsp;function&nbsp;randomly&nbsp;partitions&nbsp;data&nbsp;into&nbsp;the&nbsp;training</span><br><span class=help>%&nbsp;&nbsp;and&nbsp;testing&nbsp;parts.&nbsp;The&nbsp;number&nbsp;of&nbsp;partitionings&nbsp;is&nbsp;determined</span><br><span class=help>%&nbsp;&nbsp;by&nbsp;the&nbsp;num_folds.&nbsp;If&nbsp;num_folds==1&nbsp;then&nbsp;makes&nbsp;only&nbsp;one&nbsp;random</span><br><span class=help>%&nbsp;&nbsp;partitioning&nbsp;of&nbsp;data&nbsp;into&nbsp;training&nbsp;and&nbsp;testing&nbsp;in&nbsp;ratio&nbsp;50:50.</span><br><span class=help>%&nbsp;</span><br><span class=help>%&nbsp;<span class=help_field>Input:</span></span><br><span class=help>%&nbsp;&nbsp;num_data&nbsp;[1x1]&nbsp;number&nbsp;of&nbsp;data.</span><br><span class=help>%&nbsp;&nbsp;num_folds&nbsp;[1x1]&nbsp;number&nbsp;of&nbsp;folders.</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Output:</span></span><br><span class=help>%&nbsp;&nbsp;itrn{i}&nbsp;Indices&nbsp;of&nbsp;training&nbsp;data&nbsp;of&nbsp;i-th&nbsp;folder.</span><br><span class=help>%&nbsp;&nbsp;itst{i}&nbsp;Indices&nbsp;of&nbsp;testing&nbsp;data&nbsp;i-th&nbsp;folder.</span><br><span class=help>%</span><br><hr><span class=help1>%&nbsp;<span class=help1_field>About:</span>&nbsp;Statistical&nbsp;Pattern&nbsp;Recognition&nbsp;Toolbox</span><br><span class=help1>%&nbsp;(C)&nbsp;1999-2003,&nbsp;Written&nbsp;by&nbsp;Vojtech&nbsp;Franc&nbsp;and&nbsp;Vaclav&nbsp;Hlavac</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://www.cvut.cz"&gt;Czech&nbsp;Technical&nbsp;University&nbsp;Prague&lt;/a&gt;</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://www.feld.cvut.cz"&gt;Faculty&nbsp;of&nbsp;Electrical&nbsp;Engineering&lt;/a&gt;</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://cmp.felk.cvut.cz"&gt;Center&nbsp;for&nbsp;Machine&nbsp;Perception&lt;/a&gt;</span><br><br><span class=help1>%&nbsp;<span class=help1_field>Modifications:</span></span><br><span class=help1>%&nbsp;19-aug-2004,&nbsp;VF,&nbsp;comments&nbsp;repared</span><br><span class=help1>%&nbsp;17-may-2004,&nbsp;VF</span><br><span class=help1>%&nbsp;21-Jan-2003,&nbsp;VF</span><br><span class=help1>%&nbsp;14-Jan-2003,&nbsp;VF</span><br><span class=help1>%&nbsp;7-jan-2003,&nbsp;VF,&nbsp;created</span><br><br><hr><span class=comment>%&nbsp;random&nbsp;partitioning&nbsp;</span><br>inx=randperm(num_data);<br><br>itrn=cell(1,num_folds);<br>itst=cell(1,num_folds);<br><br><span class=keyword>if</span>&nbsp;num_folds&nbsp;==&nbsp;1,<br>&nbsp;&nbsp;half&nbsp;=&nbsp;fix(num_data/2);<br>&nbsp;&nbsp;itrn{1}=inx(1:half);<br>&nbsp;&nbsp;itst{1}=inx(half+1:<span class=keyword>end</span>);<br><span class=keyword>else</span><br><br>&nbsp;&nbsp;num_column=ceil(num_data/num_folds);<br>&nbsp;&nbsp;part=[1:num_data&nbsp;zeros(1,num_column*num_folds-num_data)];<br>&nbsp;&nbsp;part=reshape(part,num_column,num_folds)';<br><br>&nbsp;&nbsp;<span class=keyword>for</span>&nbsp;i=1:num_folds,<br>&nbsp;&nbsp;&nbsp;&nbsp;tst_inx=part(i,:);<br>&nbsp;&nbsp;&nbsp;&nbsp;tst_inx=tst_inx(find(tst_inx));<br>&nbsp;&nbsp;&nbsp;&nbsp;trn_inx=part(find([1:num_folds]~=i),:);<br>&nbsp;&nbsp;&nbsp;&nbsp;trn_inx=trn_inx(find(trn_inx));<br><br>&nbsp;&nbsp;&nbsp;&nbsp;itrn{i}=inx(trn_inx);<br>&nbsp;&nbsp;&nbsp;&nbsp;itst{i}=inx(tst_inx);<br>&nbsp;&nbsp;<span class=keyword>end</span><br><span class=keyword>end</span><br><br><span class=jump>return</span>;<br><span class=comment>%&nbsp;EOF</span><br></code>

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