supportvector.html

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<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></CODE></FONT></TD><TD><CODE><B>AbstractMySVMModel.</B><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMModel.html#getSupportVector(int)">getSupportVector</A></B>(int&nbsp;index)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This method must divide the alpha by the label since internally the alpha value is already multiplied with y.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>abstract &nbsp;<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></CODE></FONT></TD><TD><CODE><B>KernelModel.</B><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/KernelModel.html#getSupportVector(int)">getSupportVector</A></B>(int&nbsp;index)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Constructor parameters in <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A> with type arguments of type <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</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>&nbsp;exampleSet,                              java.util.List&lt;<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A>&gt;&nbsp;supportVectors,                              <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A>&nbsp;kernel,                              double&nbsp;bias)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a classification model.</TD></TR></TABLE>&nbsp;<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/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</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>&nbsp;<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> that return <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></CODE></FONT></TD><TD><CODE><B>EvoSVMModel.</B><B><A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVMModel.html#getSupportVector(int)">getSupportVector</A></B>(int&nbsp;index)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Constructor parameters in <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A> with type arguments of type <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A></FONT></TH></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>&nbsp;exampleSet,            java.util.List&lt;<A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel">SupportVector</A>&gt;&nbsp;supportVectors,            <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/functions/Kernel.html" title="class in com.rapidminer.operator.learner.functions.kernel.functions">Kernel</A>&nbsp;kernel,            double&nbsp;bias)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a classification model.</TD></TR></TABLE>&nbsp;<P><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>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../../../../com/rapidminer/operator/learner/functions/kernel/SupportVector.html" title="class in com.rapidminer.operator.learner.functions.kernel"><FONT 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