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<A NAME="com.rapidminer.operator.learner.functions.kernel"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> in <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Constructors in <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A> with parameters of type <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegressionModel.html#KernelLogisticRegressionModel(com.rapidminer.example.ExampleSet, java.util.List, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double)">KernelLogisticRegressionModel</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, java.util.List<<A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A>> supportVectors, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double bias)</CODE><BR> Creates a classification model.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegressionOptimization.html#KernelLogisticRegressionOptimization(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double, int, int, int, int, int, double, boolean, int, double, boolean, com.rapidminer.tools.RandomGenerator, com.rapidminer.tools.LoggingHandler)">KernelLogisticRegressionOptimization</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double c, int initType, int maxIterations, int generationsWithoutImprovement, int popSize, int selectionType, double tournamentFraction, boolean keepBest, int mutationType, double crossoverProb, boolean showConvergencePlot, <A HREF="../../../../../../../../com/rapidminer/tools/RandomGenerator.html" title="class in com.rapidminer.tools">RandomGenerator</A> random, <A HREF="../../../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A> logging)</CODE><BR> Creates a new evolutionary SVM optimization.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.functions.kernel.evosvm"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> in <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Methods in <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A> with parameters of type <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static double[]</CODE></FONT></TD><TD><CODE><B>EvoSVM.</B><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVM.html#determineMax(double, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, com.rapidminer.example.ExampleSet, int, int)">determineMax</A></B>(double _c, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, <A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, int selectionType, int arraySize)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B>OptimizationFunction.</B><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/OptimizationFunction.html#getFitness(double[], double[], com.rapidminer.operator.learner.functions.kernel.functions.Kernel)">getFitness</A></B>(double[] alphas, double[] ys, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B>ClassificationOptimizationFunction.</B><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/ClassificationOptimizationFunction.html#getFitness(double[], double[], com.rapidminer.operator.learner.functions.kernel.functions.Kernel)">getFitness</A></B>(double[] alphas, double[] ys, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B>RegressionOptimizationFunction.</B><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/RegressionOptimizationFunction.html#getFitness(double[], double[], com.rapidminer.operator.learner.functions.kernel.functions.Kernel)">getFitness</A></B>(double[] alphas, double[] ys, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel)</CODE><BR> </TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Constructors in <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A> with parameters of type <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/ClassificationEvoOptimization.html#ClassificationEvoOptimization(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double, int, int, int, int, int, double, boolean, int, double, boolean, com.rapidminer.example.ExampleSet, com.rapidminer.tools.RandomGenerator, com.rapidminer.tools.LoggingHandler)">ClassificationEvoOptimization</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double c, int initType, int maxIterations, int generationsWithoutImprovement, int popSize, int selectionType, double tournamentFraction, boolean keepBest, int mutationType, double crossoverProb, boolean showConvergencePlot, <A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> holdOutSet, <A HREF="../../../../../../../../com/rapidminer/tools/RandomGenerator.html" title="class in com.rapidminer.tools">RandomGenerator</A> random, <A HREF="../../../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A> logging)</CODE><BR> Creates a new evolutionary SVM optimization.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVMModel.html#EvoSVMModel(com.rapidminer.example.ExampleSet, java.util.List, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double)">EvoSVMModel</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, java.util.List<<A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A>> supportVectors, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double bias)</CODE><BR> Creates a classification model.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/PSOSVMOptimization.html#PSOSVMOptimization(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double, int, int, int, double, double, double, boolean, boolean, com.rapidminer.tools.RandomGenerator)">PSOSVMOptimization</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double c, int maxIterations, int generationsWithoutImprovement, int popSize, double inertiaWeight, double localWeight, double globalWeight, boolean dynamicInertiaWeight, boolean showPlot, <A HREF="../../../../../../../../com/rapidminer/tools/RandomGenerator.html" title="class in com.rapidminer.tools">RandomGenerator</A> random)</CODE><BR> Creates a new evolutionary SVM optimization.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/RegressionEvoOptimization.html#RegressionEvoOptimization(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.functions.kernel.functions.Kernel, double, double, int, int, int, int, int, double, boolean, int, double, boolean, com.rapidminer.tools.RandomGenerator, com.rapidminer.tools.LoggingHandler)">RegressionEvoOptimization</A></B>(<A HREF="../../../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> exampleSet, <A HREF="../../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A> kernel, double c, double epsilon, int initType, int maxIterations, int generationsWithoutImprovement, int popSize, int selectionType, double tournamentFraction, boolean keepBest, int mutationType, double crossoverProb, boolean showPlot, <A HREF="../../../../../../../../com/rapidminer/tools/RandomGenerator.html" title="class in com.rapidminer.tools">RandomGenerator</A> random, <A HREF="../../../../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A> logging)</CODE><BR> Creates a new evolutionary SVM optimization.</TD></TR></TABLE>
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