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</TABLE> <P><A NAME="com.rapidminer.operator.learner.functions"><!-- --></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/report/Readable.html" title="interface in com.rapidminer.report">Readable</A> in <A HREF="../../../../com/rapidminer/operator/learner/functions/package-summary.html">com.rapidminer.operator.learner.functions</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/functions/package-summary.html">com.rapidminer.operator.learner.functions</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/HyperplaneModel.html" title="class in com.rapidminer.operator.learner.functions">HyperplaneModel</A></B></CODE><BR> This model is a separating hyperplane for two classes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/LinearRegressionModel.html" title="class in com.rapidminer.operator.learner.functions">LinearRegressionModel</A></B></CODE><BR> The model for linear regression.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/LogisticRegressionModel.html" title="class in com.rapidminer.operator.learner.functions">LogisticRegressionModel</A></B></CODE><BR> The model determined by the <A HREF="../../../../com/rapidminer/operator/learner/functions/LogisticRegression.html" title="class in com.rapidminer.operator.learner.functions"><CODE>LogisticRegression</CODE></A> operator.</TD></TR></TABLE> <P><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/report/Readable.html" title="interface in com.rapidminer.report">Readable</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/AbstractMySVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">AbstractMySVMModel</A></B></CODE><BR> The abstract superclass for the SVM models by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/GPModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">GPModel</A></B></CODE><BR> A model learned by the GPLearner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/JMySVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">JMySVMModel</A></B></CODE><BR> The implementation for the mySVM model (Java version) by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/KernelLogisticRegressionModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelLogisticRegressionModel</A></B></CODE><BR> 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 ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/KernelModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">KernelModel</A></B></CODE><BR> This is the abstract model class for all kernel models.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/LibSVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">LibSVMModel</A></B></CODE><BR> 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 ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/MyKLRModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">MyKLRModel</A></B></CODE><BR> The model for the MyKLR learner by Stefan Rueping.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/RVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel">RVMModel</A></B></CODE><BR> A model generated by the RVMLearner.</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/report/Readable.html" title="interface in com.rapidminer.report">Readable</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/evosvm/EvoSVMModel.html" title="class in com.rapidminer.operator.learner.functions.kernel.evosvm">EvoSVMModel</A></B></CODE><BR> The model for the evolutionary SVM.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.functions.kernel.hyperhyper"><!-- --></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/report/Readable.html" title="interface in com.rapidminer.report">Readable</A> in <A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/package-summary.html">com.rapidminer.operator.learner.functions.kernel.hyperhyper</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/package-summary.html">com.rapidminer.operator.learner.functions.kernel.hyperhyper</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/kernel/hyperhyper/HyperModel.html" title="class in com.rapidminer.operator.learner.functions.kernel.hyperhyper">HyperModel</A></B></CODE><BR> The model for the HyperHyper implementation.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.functions.neuralnet"><!-- --></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/report/Readable.html" title="interface in com.rapidminer.report">Readable</A> in <A HREF="../../../../com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/functions/neuralnet/NeuralNetModel.html" title="class in com.rapidminer.operator.learner.functions.neuralnet">NeuralNetModel</A></B></CODE><BR> This is the model for the neural net learner.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.igss.hypothesis"><!-- --></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/report/Readable.html" title="interface in com.rapidminer.report">Readable</A> in <A HREF="../../../../com/rapidminer/operator/learner/igss/hypothesis/package-summary.html">com.rapidminer.operator.learner.igss.hypothesis</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">Classes in <A HREF="../../../../com/rapidminer/operator/learner/igss/hypothesis/package-summary.html">com.rapidminer.operator.learner.igss.hypothesis</A> that implement <A HREF="../../../../com/rapidminer/report/Readable.html" title="interface in com.rapidminer.report">Readable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/learner/igss/hypothesis/GSSModel.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">GSSModel</A></B></CODE><BR> Wrapper class for rules found by the Iterating GSS algorithm.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.lazy"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">⌨️ 快捷键说明
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