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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:30 CEST 2008 --><TITLE>EvoSVM (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="EvoSVM (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="class-use/EvoSVM.html"><FONT CLASS="NavBarFont1"><B>Use</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoOptimization.html" title="interface in com.rapidminer.operator.learner.functions.kernel.evosvm"><B>PREV CLASS</B></A> <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel.evosvm"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../../../../../index.html?com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html" target="_top"><B>FRAMES</B></A> <A HREF="EvoSVM.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../../../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">com.rapidminer.operator.learner.functions.kernel.evosvm</FONT><BR>Class EvoSVM</H2><PRE>java.lang.Object <IMG SRC="../../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../../com/rapidminer/operator/Operator.html" title="class in com.rapidminer.operator">com.rapidminer.operator.Operator</A> <IMG SRC="../../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../../com/rapidminer/operator/learner/AbstractLearner.html" title="class in com.rapidminer.operator.learner">com.rapidminer.operator.learner.AbstractLearner</A> <IMG SRC="../../../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVM</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../../../../com/rapidminer/gui/wizards/ConfigurationListener.html" title="interface in com.rapidminer.gui.wizards">ConfigurationListener</A>, <A HREF="../../../../../../../com/rapidminer/gui/wizards/PreviewListener.html" title="interface in com.rapidminer.gui.wizards">PreviewListener</A>, <A HREF="../../../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A>, <A HREF="../../../../../../../com/rapidminer/parameter/ParameterHandler.html" title="interface in com.rapidminer.parameter">ParameterHandler</A>, <A HREF="../../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>EvoSVM</B><DT>extends <A HREF="../../../../../../../com/rapidminer/operator/learner/AbstractLearner.html" title="class in com.rapidminer.operator.learner">AbstractLearner</A></DL></PRE><P><p>This is a SVM implementation using an evolutionary algorithm (ES) to solve the dual optimization problem of a SVM. It turns out that on many datasets this simple implementation is as fast and accurate as the usual SVM implementations. In addition, it is also capable of learning with Kernels which are not positive semi-definite and can also be used for multi-objective learning which makes the selection of C unecessary before learning.</p> <p>Mierswa, Ingo. Evolutionary Learning with Kernels: A Generic Solution for Large Margin Problems. In Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2006), 2006.</p><P><P><DL><DT><B>Version:</B></DT> <DD>$Id: EvoSVM.java,v 1.8 2008/05/09 19:23:23 ingomierswa Exp $</DD><DT><B>Author:</B></DT> <DD>Ingo Mierswa</DD><DT><B>Keywords:</B></DT> <DD>SVM</DD></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_C">PARAMETER_C</A></B></CODE><BR> The parameter name for "The SVM complexity constant (0: calculates probably good value).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_CROSSOVER_PROB">PARAMETER_CROSSOVER_PROB</A></B></CODE><BR> The parameter name for "The probability for crossovers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_EPSILON">PARAMETER_EPSILON</A></B></CODE><BR> The parameter name for "The width of the regression tube loss function of the regression SVM"</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_GENERATIONS_WITHOUT_IMPROVAL">PARAMETER_GENERATIONS_WITHOUT_IMPROVAL</A></B></CODE><BR> The parameter name for "Stop after this number of generations without improvement (-1: optimize until max_iterations).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_HOLD_OUT_SET_RATIO">PARAMETER_HOLD_OUT_SET_RATIO</A></B></CODE><BR> The parameter name for "Uses this amount as a hold out set to estimate generalization error after learning (currently only used for multi-objective classification).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KEEP_BEST">PARAMETER_KEEP_BEST</A></B></CODE><BR> The parameter name for "Indicates if the best individual should survive (elititst selection).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_A">PARAMETER_KERNEL_A</A></B></CODE><BR> The parameter name for "The SVM kernel parameter a (neural).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_B">PARAMETER_KERNEL_B</A></B></CODE><BR> The parameter name for "The SVM kernel parameter b (neural).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_DEGREE">PARAMETER_KERNEL_DEGREE</A></B></CODE><BR> The parameter name for "The SVM kernel parameter degree (polynomial, anova, Epanechnikov).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_GAMMA">PARAMETER_KERNEL_GAMMA</A></B></CODE><BR> The parameter name for "The SVM kernel parameter gamma (RBF, anova).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_SHIFT">PARAMETER_KERNEL_SHIFT</A></B></CODE><BR> The parameter name for "The SVM kernel parameter shift (polynomial, Multiquadric).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_SIGMA1">PARAMETER_KERNEL_SIGMA1</A></B></CODE><BR> The parameter name for "The SVM kernel parameter sigma1 (Epanechnikov, Gaussian Combination, Multiquadric).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#PARAMETER_KERNEL_SIGMA2">PARAMETER_KERNEL_SIGMA2</A></B></CODE><BR> The parameter name for "The SVM kernel parameter sigma2 (Gaussian Combination).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor">⌨️ 快捷键说明
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