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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 01:37:04 CEST 2008 --><TITLE>Uses of Package com.rapidminer.operator.learner.meta (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 Package com.rapidminer.operator.learner.meta (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" 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CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <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><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. </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.tree"><B>com.rapidminer.operator.learner.tree</B></A></TD><TD>Provides decision tree learners. </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">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</A> used by <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><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/ContingencyMatrix.html#com.rapidminer.operator.learner.igss"><B>ContingencyMatrix</B></A></B><BR> This class computes the contingency matrix of classifiers, supports weighted example sets and contains some convenience methods to query for some evaluation metrics that can directly be computed from this matrix.</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">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</A> used by <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><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/AbstractMetaLearner.html#com.rapidminer.operator.learner.meta"><B>AbstractMetaLearner</B></A></B><BR> A <tt>MetaLearner</tt> is an operator that encapsulates one or more learning steps to build its model.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/AbstractStacking.html#com.rapidminer.operator.learner.meta"><B>AbstractStacking</B></A></B><BR> This class uses n+1 inner learners and generates n different models by using the last n learners.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/BayBoostBaseModelInfo.html#com.rapidminer.operator.learner.meta"><B>BayBoostBaseModelInfo</B></A></B><BR> Stores a base model together with its contingency matrix, which offerers a more convenient access in the context of ensemble classification.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/ContingencyMatrix.html#com.rapidminer.operator.learner.meta"><B>ContingencyMatrix</B></A></B><BR> This class computes the contingency matrix of classifiers, supports weighted example sets and contains some convenience methods to query for some evaluation metrics that can directly be computed from this matrix.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/WeightedPerformanceMeasures.html#com.rapidminer.operator.learner.meta"><B>WeightedPerformanceMeasures</B></A></B><BR> This private class cares about <i>weighted</i> performance measures as used by the <code>BayesianBoosting</code> algorithm and the similarly working <code>ModelBasedSampling</code> operator.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.tree"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Classes in <A HREF="../../../../../com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</A> used by <A HREF="../../../../../com/rapidminer/operator/learner/tree/package-summary.html">com.rapidminer.operator.learner.tree</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/class-use/AbstractMetaLearner.html#com.rapidminer.operator.learner.tree"><B>AbstractMetaLearner</B></A></B><BR> A <tt>MetaLearner</tt> is an operator that encapsulates one or more learning steps to build its model.</TD></TR></TABLE> <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 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