resultobjectadapter.html
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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/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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><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/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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><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/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</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"><!-- --></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/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/igss/package-summary.html">com.rapidminer.operator.learner.igss</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/igss/package-summary.html">com.rapidminer.operator.learner.igss</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/IGSSResult.html" title="class in com.rapidminer.operator.learner.igss">IGSSResult</A></B></CODE><BR> This class stores all results found by the IGSS algorithm.</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/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/igss/hypothesis/package-summary.html">com.rapidminer.operator.learner.igss.hypothesis</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">Uses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/lazy/package-summary.html">com.rapidminer.operator.learner.lazy</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/lazy/package-summary.html">com.rapidminer.operator.learner.lazy</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/lazy/AttributeBasedVotingModel.html" title="class in com.rapidminer.operator.learner.lazy">AttributeBasedVotingModel</A></B></CODE><BR> Average model simply calculates the average of the attributes as prediction.</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/lazy/DefaultModel.html" title="class in com.rapidminer.operator.learner.lazy">DefaultModel</A></B></CODE><BR> The default model sets the prediction of all examples to the mode value in case of nominal labels and to the average value in case of numerical labels.</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/lazy/KNNClassificationModel.html" title="class in com.rapidminer.operator.learner.lazy">KNNClassificationModel</A></B></CODE><BR> An implementation of a knn model.</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/lazy/KNNRegressionModel.html" title="class in com.rapidminer.operator.learner.lazy">KNNRegressionModel</A></B></CODE><BR> An implementation of a knn model used for regression</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.meta"><!-- --></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/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</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">Subclasses of <A HREF="../../../../com/rapidminer/operator/ResultObjectAdapter.html" title="class in com.rapidminer.operator">ResultObjectAdapter</A> in <A HREF="../../../../com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</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/meta/AdaBoostModel.html" title="class in com.rapidminer.operator.learner.meta">AdaBoostModel</A></B></CODE><BR> A model for the RapidMiner AdaBoost implementation.</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/meta/AdditiveRegressionModel.html" title="class in com.rapidminer.operator.learner.meta">AdditiveRegressionModel</A></B></CODE><BR> The model created by an AdditiveRegression meta learner.</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/meta/BaggingModel.html" title="class in com.rapidminer.operator.learner.meta">BaggingModel</A></B></CODE
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