n&nbsp;boundary&nbsp;</span><br>
<span class=graph>figure</span>;&nbsp;ppatterns(data);&nbsp;psvm(svm_model);<br>
<br>
<span class=comment>%&nbsp;compute&nbsp;SVM&nbsp;output</span><br>
[dummy,svm_output.X]&nbsp;=&nbsp;svmclass(data.X,svm_model);<br>
svm_output.y&nbsp;=&nbsp;data.y;<br>
<br>
<span class=comment>%&nbsp;ML&nbsp;fitting&nbsp;of&nbsp;sigmod&nbsp;to&nbsp;SVM&nbsp;ouput</span><br>
<span class=comment>%-------------------------------------------------------</span><br>
sigmoid_model&nbsp;=&nbsp;mls