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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN""http://www.w3.org/TR/REC-html40/frameset.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc on Wed Sep 04 10:31:49 CDT 2002 --><TITLE>: Class LogitBoost</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"></HEAD><BODY BGCOLOR="white"><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_top"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3"> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../weka/classifiers/Logistic.html"><B>PREV CLASS</B></A> <A HREF="../../weka/classifiers/LWR.html"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../index.html" TARGET="_top"><B>FRAMES</B></A> <A HREF="LogitBoost.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers</FONT><BR>Class LogitBoost</H2><PRE>java.lang.Object | +--<A HREF="../../weka/classifiers/Classifier.html">weka.classifiers.Classifier</A> | +--<A HREF="../../weka/classifiers/DistributionClassifier.html">weka.classifiers.DistributionClassifier</A> | +--<B>weka.classifiers.LogitBoost</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.lang.Cloneable, <A HREF="../../weka/core/OptionHandler.html">OptionHandler</A>, java.io.Serializable, <A HREF="../../weka/classifiers/Sourcable.html">Sourcable</A></DD></DL><HR><DL><DT>public class <B>LogitBoost</B><DT>extends <A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A><DT>implements <A HREF="../../weka/core/OptionHandler.html">OptionHandler</A>, <A HREF="../../weka/classifiers/Sourcable.html">Sourcable</A></DL><P>Class for boosting any classifier that can handle weighted instances. This class performs classification using a regression scheme as the base learner, and can handle multi-class problems. For more information, see<p> Friedman, J., T. Hastie and R. Tibshirani (1998) <i>Additive Logistic Regression: a Statistical View of Boosting</i> <a href="ftp://stat.stanford.edu/pub/friedman/boost.ps">download postscript</a>. <p> Valid options are:<p> -D <br> Turn on debugging output.<p> -W classname <br> Specify the full class name of a weak learner as the basis for boosting (required).<p> -I num <br> Set the number of boost iterations (default 10). <p> -Q <br> Use resampling instead of reweighting.<p> -S seed <br> Random number seed for resampling (default 1).<p> -P num <br> Set the percentage of weight mass used to build classifiers (default 100). <p> Options after -- are passed to the designated learner.<p><P><DL><DT><B>See Also: </B><DD><A HREF="../../serialized-form.html#weka.classifiers.LogitBoost">Serialized Form</A></DL><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Field Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../weka/core/Attribute.html">Attribute</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_ClassAttribute">m_ClassAttribute</A></B></CODE><BR> The actual class attribute (for getting class names)</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../weka/classifiers/Classifier.html">Classifier</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_Classifier">m_Classifier</A></B></CODE><BR> An instantiated base classifier used for getting and testing options</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../weka/classifiers/Classifier.html">Classifier</A>[][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_Classifiers">m_Classifiers</A></B></CODE><BR> Array for storing the generated base classifiers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_Debug">m_Debug</A></B></CODE><BR> Debugging mode, gives extra output if true</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_MaxIterations">m_MaxIterations</A></B></CODE><BR> The maximum number of boost iterations</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_NumClasses">m_NumClasses</A></B></CODE><BR> The number of classes</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../weka/core/Instances.html">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_NumericClassData">m_NumericClassData</A></B></CODE><BR> Dummy dataset with a numeric class</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_NumIterations">m_NumIterations</A></B></CODE><BR> The number of successfully generated base classifiers.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_Seed">m_Seed</A></B></CODE><BR> Seed for boosting with resampling.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_UseResampling">m_UseResampling</A></B></CODE><BR> Use boosting with reweighting?</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#m_WeightThreshold">m_WeightThreshold</A></B></CODE><BR> Weight thresholding.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#VERY_SMALL">VERY_SMALL</A></B></CODE><BR> A very small number, below which weights cannot fall</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#Z_MAX">Z_MAX</A></B></CODE><BR> A threshold for responses (Friedman suggests between 2 and 4)</TD></TR></TABLE> <!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#LogitBoost()">LogitBoost</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#buildClassifier(weka.core.Instances)">buildClassifier</A></B>(<A HREF="../../weka/core/Instances.html">Instances</A> data)</CODE><BR> Boosting method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance)</CODE><BR> Calculates the class membership probabilities for the given test instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/classifiers/Classifier.html">Classifier</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getClassifier()">getClassifier</A></B>()</CODE><BR> Get the classifier used as the classifier</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getDebug()">getDebug</A></B>()</CODE><BR> Get whether debugging is turned on</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getMaxIterations()">getMaxIterations</A></B>()</CODE><BR> Get the maximum number of boost iterations</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of the Classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getSeed()">getSeed</A></B>()</CODE><BR> Get seed for resampling.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getUseResampling()">getUseResampling</A></B>()</CODE><BR> Get whether resampling is turned on</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/LogitBoost.html#getWeightThreshold()">getWeightThreshold</A></B>()</CODE><BR> Get the degree of weight thresholding</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD>⌨️ 快捷键说明
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