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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 01:36:34 CEST 2008 --><TITLE>WeightedPerformanceMeasures (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="WeightedPerformanceMeasures (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 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"><B>com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures</B></PRE><DL><DT><B>Direct Known Subclasses:</B> <DD><A HREF="../../../../../com/rapidminer/operator/learner/meta/AdaBoostPerformanceMeasures.html" title="class in com.rapidminer.operator.learner.meta">AdaBoostPerformanceMeasures</A>, <A HREF="../../../../../com/rapidminer/operator/learner/meta/SDReweightMeasures.html" title="class in com.rapidminer.operator.learner.meta">SDReweightMeasures</A></DD></DL><HR><DL><DT><PRE>public class <B>WeightedPerformanceMeasures</B><DT>extends java.lang.Object</DL></PRE><P>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.<P><P><DL><DT><B>Version:</B></DT>  <DD>$Id: WeightedPerformanceMeasures.java,v 1.33 2006/04/12 21:48:58          martin_scholz Exp $</DD><DT><B>Author:</B></DT>  <DD>Martin Scholz</DD></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#RULE_DOES_NOT_APPLY">RULE_DOES_NOT_APPLY</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This constant is used to express that no examples have been observed.</TD></TR></TABLE>&nbsp;<!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#WeightedPerformanceMeasures(com.rapidminer.example.ExampleSet)">WeightedPerformanceMeasures</A></B>(<A HREF="../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Constructor.</TD></TR></TABLE>&nbsp;<!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double[][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#createLiftRatioMatrix()">createLiftRatioMatrix</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;<A HREF="../../../../../com/rapidminer/operator/learner/meta/ContingencyMatrix.html" title="class in com.rapidminer.operator.learner.meta">ContingencyMatrix</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getContingencyMatrix()">getContingencyMatrix</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;converts the deprecated representation into the new form</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;int[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getCoveredExamplesNumForPred(int)">getCoveredExamplesNumForPred</A></B>(int&nbsp;prediction)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Method to query for the unweighted absolute number of covered examples of each class, given a specific prediction</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getLabelPriors()">getLabelPriors</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getLift(int, int)">getLift</A></B>(int&nbsp;label,        int&nbsp;prediction)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The lift of the rule specified by the nominal variable's indices.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getNumberOfLabels()">getNumberOfLabels</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getNumberOfNonEmptyClasses()">getNumberOfNonEmptyClasses</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getNumberOfPredictions()">getNumberOfPredictions</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getPnRatios(int)">getPnRatios</A></B>(int&nbsp;prediction)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The factor to be applied (pn-ratio) for each label if the model yields the specific prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getProbability(int, int)">getProbability</A></B>(int&nbsp;label,               int&nbsp;prediction)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Method to query for the probability of one of the prediction/label subsets</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getProbabilityLabel(int)">getProbabilityLabel</A></B>(int&nbsp;label)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Method to query for the &quot;prior&quot; probability of one of the labels.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#getProbabilityPrediction(int)">getProbabilityPrediction</A></B>(int&nbsp;premise)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Method to query for the &quot;prior&quot; probability of one of the predictions.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/WeightedPerformanceMeasures.html#reweightExamples(com.rapidminer.example.ExampleSet, com.rapidminer.operator.learner.meta.ContingencyMatrix, boolean)">reweightExamples</A></B>(<A HREF="../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet,                 <A HREF="../../../../../com/rapidminer/operator/learner/meta/ContingencyMatrix.html" title="class in com.rapidminer.operator.learner.meta">ContingencyMatrix</A>&nbsp;cm,                 boolean&nbsp;allowMarginalSkews)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Helper method of the <code>BayesianBoosting</code> operator  This method reweights the example set with respect to the <code>WeightedPerformanceMeasures</code> object.</TD></TR></TABLE>&nbsp;<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE>&nbsp;<P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Field Detail</B></FONT></TH></TR></TABLE><A NAME="RULE_DOES_NOT_APPLY"><!-- --></A><H3>RULE_DOES_NOT_APPLY</H3><PRE>public static final double <B>RULE_DOES_NOT_APPLY</B></PRE><DL><DD>This constant is used to express that no examples have been observed.<P><DL><DT><B>See Also:</B><DD><A HREF="../../../../../constant-values.html#com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures.RULE_DOES_NOT_APPLY">Constant Field Values</A></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">

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