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methods, e.g. evolutionary strategies or particle swarm optimization.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.functions"><B>com.rapidminer.operator.learner.functions.kernel.functions</B></A></TD><TD>This package contains some common kernel functions.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.hyperhyper"><B>com.rapidminer.operator.learner.functions.kernel.hyperhyper</B></A></TD><TD>This package contains classes for the HyperHyper learner.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.jmysvm.examples"><B>com.rapidminer.operator.learner.functions.kernel.jmysvm.examples</B></A></TD><TD>The package for data handling of the Java version of the support vector machine mySVM.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.jmysvm.svm"><B>com.rapidminer.operator.learner.functions.kernel.jmysvm.svm</B></A></TD><TD>The main package for the Java version of the the regression and classification support vector machine mySVM.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.neuralnet"><B>com.rapidminer.operator.learner.functions.neuralnet</B></A></TD><TD>This package contains a neural net learner based on Joone.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.igss"><B>com.rapidminer.operator.learner.igss</B></A></TD><TD>Provides classes for learning operator Iterating Generic Sequential Sampling.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.igss.hypothesis"><B>com.rapidminer.operator.learner.igss.hypothesis</B></A></TD><TD>Provides the hypothesis classes for learning operator Iterating Generic Sequential Sampling.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.lazy"><B>com.rapidminer.operator.learner.lazy</B></A></TD><TD>Learning schemes which perform lazy learning.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.meta"><B>com.rapidminer.operator.learner.meta</B></A></TD><TD>Meta learning schemes which uses other learning operators to increase the performance.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.rules"><B>com.rapidminer.operator.learner.rules</B></A></TD><TD>Provides rule learners.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.tree"><B>com.rapidminer.operator.learner.tree</B></A></TD><TD>Provides decision tree learners.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.weka"><B>com.rapidminer.operator.learner.weka</B></A></TD><TD>Operators which encapsulate the learning schemes provided by Weka.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.meta"><B>com.rapidminer.operator.meta</B></A></TD><TD>Provides operators for experiment iteration, meta operators, and optimization.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.performance"><B>com.rapidminer.operator.performance</B></A></TD><TD>Provides performance evaluating operators and performance criteria.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.postprocessing"><B>com.rapidminer.operator.postprocessing</B></A></TD><TD>Operators for post processing, usually used for models.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing"><B>com.rapidminer.operator.preprocessing</B></A></TD><TD>Operators for preprocessing purposes.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.discretization"><B>com.rapidminer.operator.preprocessing.discretization</B></A></TD><TD>Contains discretization operators which can be used to transform numerical into nominal attributes.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.filter"><B>com.rapidminer.operator.preprocessing.filter</B></A></TD><TD>Containing filter operators changing the input example set, e.g. by removing certain attributes or changing the data.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.normalization"><B>com.rapidminer.operator.preprocessing.normalization</B></A></TD><TD>Preprocessing operators used for normalization.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.sampling"><B>com.rapidminer.operator.preprocessing.sampling</B></A></TD><TD>Preprocessing operators used for sampling.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.similarity"><B>com.rapidminer.operator.similarity</B></A></TD><TD>Basic framework for similarities.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.similarity.attributebased"><B>com.rapidminer.operator.similarity.attributebased</B></A></TD><TD>Similarity meausres that are based on the attribute/value representation of objects.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.similarity.bregmandivergences"><B>com.rapidminer.operator.similarity.bregmandivergences</B></A></TD><TD>This package contains all similarities which are based on bregman divergences.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.validation"><B>com.rapidminer.operator.validation</B></A></TD><TD>Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.visualization"><B>com.rapidminer.operator.visualization</B></A></TD><TD>The operators in this package might be useful for visualization purposes.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools"><B>com.rapidminer.tools</B></A></TD><TD>Provides tools for RapidMiner like parsers for the input files.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools.jdbc"><B>com.rapidminer.tools.jdbc</B></A></TD><TD>Provides tools for database access via JDBC connections.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools.math"><B>com.rapidminer.tools.math</B></A></TD><TD>Several tool classes for mathematical operations.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools.math.matrix"><B>com.rapidminer.tools.math.matrix</B></A></TD><TD>Utitility classes for matrices.&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools.math.similarity"><B>com.rapidminer.tools.math.similarity</B></A></TD><TD>This package consists similariy and distance measures.&nbsp;</TD></TR></TABLE>&nbsp;<P><A NAME="com.rapidminer.datatable"><!-- --></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/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> in <A HREF="../../../../com/rapidminer/datatable/package-summary.html">com.rapidminer.datatable</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/datatable/package-summary.html">com.rapidminer.datatable</A> that return <A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></CODE></FONT></TD><TD><CODE><B>DataTableExampleSetAdapter.</B><B><A HREF="../../../../com/rapidminer/datatable/DataTableExampleSetAdapter.html#createExampleSetFromDataTable(com.rapidminer.datatable.DataTable)">createExampleSetFromDataTable</A></B>(<A HREF="../../../../com/rapidminer/datatable/DataTable.html" title="interface in com.rapidminer.datatable">DataTable</A>&nbsp;table)</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">Constructors in <A HREF="../../../../com/rapidminer/datatable/package-summary.html">com.rapidminer.datatable</A> with parameters of type <A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../com/rapidminer/datatable/DataTableExampleSetAdapter.html#DataTableExampleSetAdapter(com.rapidminer.example.ExampleSet, com.rapidminer.example.AttributeWeights)">DataTableExampleSetAdapter</A></B>(<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet,                           <A HREF="../../../../com/rapidminer/example/AttributeWeights.html" title="class in com.rapidminer.example">AttributeWeights</A>&nbsp;weights)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<P><A NAME="com.rapidminer.example"><!-- --></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/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A> in <A HREF="../../../../com/rapidminer/example/package-summary.html">com.rapidminer.example</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/example/package-summary.html">com.rapidminer.example</A> that return <A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></CODE></FONT></TD><TD><CODE><B>ExampleSetFactory.</B><B><A HREF="../../../../com/rapidminer/example/ExampleSetFactory.html#createExampleSet(double[][])">createExampleSet</A></B>(double[][]&nbsp;data)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create a numerical example set from the given data matrix.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A></CODE></FONT></TD><TD><CODE><B>ExampleSetFactory.</B><B><A HREF="../../../../com/rapidminer/example/ExampleSetFactory.html#createExampleSet(double[][], double[])">createExampleSet</A></B>(double[][]&nbsp;data,                 double[]&nbsp;labels)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create a numerical example set from the given data matrix.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor">

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