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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:56 CEST 2008 --><TITLE>Uses of Class com.rapidminer.example.Example (RapidMiner Class Documentation)</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="Uses of Class com.rapidminer.example.Example (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" 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_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" 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Class<br>com.rapidminer.example.Example</B></H2></CENTER><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../../com/rapidminer/example/Example.html" title="class in com.rapidminer.example">Example</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.datatable"><B>com.rapidminer.datatable</B></A></TD><TD>DataTables are the most important data container interface for RapidMiner which are used for all statistics and plotting purposes. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.example"><B>com.rapidminer.example</B></A></TD><TD>The data core classes of RapidMiner. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.example.set"><B>com.rapidminer.example.set</B></A></TD><TD>The available views (example sets) on the example tables. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.features.transformation"><B>com.rapidminer.operator.features.transformation</B></A></TD><TD>Provides operators for feature space transformations like PCA or ICA. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner"><B>com.rapidminer.operator.learner</B></A></TD><TD>Provides learning operators. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering"><B>com.rapidminer.operator.learner.clustering</B></A></TD><TD>Core data structures for the clustering plugin. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.clusterer"><B>com.rapidminer.operator.learner.clustering.clusterer</B></A></TD><TD>Clustering algorithms. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.hierarchical.upgma"><B>com.rapidminer.operator.learner.clustering.hierarchical.upgma</B></A></TD><TD>UPGMA Clustering. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions"><B>com.rapidminer.operator.learner.functions</B></A></TD><TD>This package contains learners based on the conceptof function approximation. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel"><B>com.rapidminer.operator.learner.functions.kernel</B></A></TD><TD>Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines. </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. </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. </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. </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. </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. </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. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.performance.cost"><B>com.rapidminer.operator.performance.cost</B></A></TD><TD>This package contains cost-based performance evaluations. </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. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.filter.attributes"><B>com.rapidminer.operator.preprocessing.filter.attributes</B></A></TD><TD>This package contains the attribute filter. </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. </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. </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. </TD></TR></TABLE> <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/Example.html" title="class in com.rapidminer.example">Example</A> in <A HREF="../../../../com/rapidminer/datatable/package-summary.html">com.rapidminer.datatable</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/datatable/package-summary.html">com.rapidminer.datatable</A> with parameters of type <A HREF="../../../../com/rapidminer/example/Example.html" title="class in com.rapidminer.example">Example</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../com/rapidminer/datatable/Example2DataTableRowWrapper.html#Example2DataTableRowWrapper(com.rapidminer.example.Example, java.util.List, com.rapidminer.example.Attribute)">Example2DataTableRowWrapper</A></B>(<A HREF="../../../../com/rapidminer/example/Example.html" title="class in com.rapidminer.example">Example</A> example, java.util.List<<A HREF="../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A>> allAttributes, <A HREF="../../../../com/rapidminer/example/Attribute.html" title="interface in com.rapidminer.example">Attribute</A> idAttribute)</CODE><BR> Creates a new wrapper.</TD>⌨️ 快捷键说明
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