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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 01:36:54 CEST 2008 --><TITLE>com.rapidminer.operator.learner.functions.kernel (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.functions.kernel package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="com.rapidminer.operator.learner.functions.kernel (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" 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//--></SCRIPT><NOSCRIPT> <A HREF="../../../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package com.rapidminer.operator.learner.functions.kernel</H2>Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.<P><B>See:</B><BR> <A HREF="#package_description"><B>Description</B></A><P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">AbstractMySVMLearner</A></B></TD><TD>This is the abstract superclass for the support vector machine / KLR implementations of Stefan Rüping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">AbstractMySVMModel</A></B></TD><TD>The abstract superclass for the SVM models by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/GPLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">GPLearner</A></B></TD><TD>Gaussian Process (GP) Learner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/GPModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">GPModel</A></B></TD><TD>A model learned by the GPLearner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/JMySVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">JMySVMLearner</A></B></TD><TD>This learner uses the Java implementation of the support vector machine <em>mySVM</em> by Stefan Rüping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/JMySVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">JMySVMModel</A></B></TD><TD>The implementation for the mySVM model (Java version) by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegression.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelLogisticRegression</A></B></TD><TD>This operator determines a logistic regression model.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegressionModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelLogisticRegressionModel</A></B></TD><TD>The model determined by the <A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegression.html" title="class in com.rapidminer.operator.learner.functions.kernel"><CODE>KernelLogisticRegression</CODE></A> operator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegressionOptimization.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelLogisticRegressionOptimization</A></B></TD><TD>Evolutionary Strategy approach for optimization of the logistic regression problem.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelModel</A></B></TD><TD>This is the abstract model class for all kernel models.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/LibSVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">LibSVMLearner</A></B></TD><TD>Applies the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a> learner by Chih-Chung Chang and Chih-Jen Lin.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/LibSVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">LibSVMModel</A></B></TD><TD>A model generated by the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a> by Chih-Chung Chang and Chih-Jen Lin.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/MyKLRLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">MyKLRLearner</A></B></TD><TD>This is the Java implementation of <em>myKLR</em> by Stefan Rüping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/MyKLRModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">MyKLRModel</A></B></TD><TD>The model for the MyKLR learner by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/RVMLearner.html" title="class in com.rapidminer.operator.learner.functions.kernel">RVMLearner</A></B></TD><TD>Relevance Vector Machine (RVM) Learner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/RVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">RVMModel</A></B></TD><TD>A model generated by the RVMLearner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></B></TD><TD>Holds all information of a support vector, i.e. the attribute values, the label, and the alpha.</TD></TR></TABLE> <P><A NAME="package_description"><!-- --></A><H2>Package com.rapidminer.operator.learner.functions.kernel Description</H2><P>Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.<P><P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" 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_bottom_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="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Class</FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-use.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 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