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<TD><CODE><B><A HREF="../../../weka/classifiers/meta/LogitBoost.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</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/meta/LogitBoost.html#setShrinkage(double)">setShrinkage</A></B>(double newShrinkage)</CODE><BR> Set the value of Shrinkage.</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/meta/LogitBoost.html#setUseResampling(boolean)">setUseResampling</A></B>(boolean r)</CODE><BR> Set resampling mode</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/meta/LogitBoost.html#setWeightThreshold(int)">setWeightThreshold</A></B>(int threshold)</CODE><BR> Set weight thresholding</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/meta/LogitBoost.html#shrinkageTipText()">shrinkageTipText</A></B>()</CODE><BR> Returns the tip text for this property</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/meta/LogitBoost.html#toSource(java.lang.String)">toSource</A></B>(java.lang.String className)</CODE><BR> Returns the boosted model as Java source code.</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/meta/LogitBoost.html#toString()">toString</A></B>()</CODE><BR> Returns description of the boosted classifier.</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/meta/LogitBoost.html#useResamplingTipText()">useResamplingTipText</A></B>()</CODE><BR> Returns the tip text for this property</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/meta/LogitBoost.html#weightThresholdTipText()">weightThresholdTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.RandomizableIteratedSingleClassifierEnhancer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableIteratedSingleClassifierEnhancer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#getSeed()">getSeed</A>, <A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#seedTipText()">seedTipText</A>, <A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#setSeed(int)">setSeed</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.IteratedSingleClassifierEnhancer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/IteratedSingleClassifierEnhancer.html" title="class in weka.classifiers">IteratedSingleClassifierEnhancer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/IteratedSingleClassifierEnhancer.html#getNumIterations()">getNumIterations</A>, <A HREF="../../../weka/classifiers/IteratedSingleClassifierEnhancer.html#numIterationsTipText()">numIterationsTipText</A>, <A HREF="../../../weka/classifiers/IteratedSingleClassifierEnhancer.html#setNumIterations(int)">setNumIterations</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.SingleClassifierEnhancer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html" title="class in weka.classifiers">SingleClassifierEnhancer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html#classifierTipText()">classifierTipText</A>, <A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html#getClassifier()">getClassifier</A>, <A HREF="../../../weka/classifiers/SingleClassifierEnhancer.html#setClassifier(weka.classifiers.Classifier)">setClassifier</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.Classifier"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A>, <A HREF="../../../weka/classifiers/Classifier.html#debugTipText()">debugTipText</A>, <A HREF="../../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../../weka/classifiers/Classifier.html#getDebug()">getDebug</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopy(weka.classifiers.Classifier)">makeCopy</A>, <A HREF="../../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A></CODE></TD></TR></TABLE> <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>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_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>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="LogitBoost()"><!-- --></A><H3>LogitBoost</H3><PRE>public <B>LogitBoost</B>()</PRE><DL><DD>Constructor.<P></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_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>Method Detail</B></FONT></TH></TR></TABLE><A NAME="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>Returns a string describing classifier<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="getTechnicalInformation()"><!-- --></A><H3>getTechnicalInformation</H3><PRE>public <A HREF="../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A> <B>getTechnicalInformation</B>()</PRE><DL><DD>Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html#getTechnicalInformation()">getTechnicalInformation</A></CODE> in interface <CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>the technical information about this class</DL></DD></DL><HR><A NAME="listOptions()"><!-- --></A><H3>listOptions</H3><PRE>public java.util.Enumeration <B>listOptions</B>()</PRE><DL><DD>Returns an enumeration describing the available options.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#listOptions()">listOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableIteratedSingleClassifierEnhancer</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an enumeration of all the available options.</DL></DD></DL><HR><A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>setOptions</H3><PRE>public void <B>setOptions</B>(java.lang.String[] options) throws java.lang.Exception</PRE><DL><DD>Parses a given list of options. <p/> <!-- options-start --> Valid options are: <p/> <pre> -Q Use resampling instead of reweighting for boosting.</pre> <pre> -P <percent> Percentage of weight mass to base training on. (default 100, reduce to around 90 speed up)</pre> <pre> -F <num> Number of folds for internal cross-validation. (default 0 -- no cross-validation)</pre> <pre> -R <num> Number of runs for internal cross-validation. (default 1)</pre> <pre> -L <num> Threshold on the improvement of the likelihood. (default -Double.MAX_VALUE)</pre> <pre> -H <num> Shrinkage parameter. (default 1)</pre> <pre> -S <num> Random number seed. (default 1)</pre> <pre> -I <num> Number of iterations. (default 10)</pre> <pre> -D If set, classifier is run in debug mode and may output additional info to the console</pre> <pre> -W Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)</pre> <pre> Options specific to classifier weka.classifiers.trees.DecisionStump: </pre> <pre> -D If set, classifier is run in debug mode and may output additional info to the console</pre> <!-- options-end --> Options after -- are passed to the designated learner.<p><P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableIteratedSingleClassifierEnhancer</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL></DD></DL><HR><A NAME="getOptions()"><!-- --></A><H3>getOptions</H3><PRE>public java.lang.String[] <B>getOptions</B>()</PRE><DL><DD>Gets the current settings of the Classifier.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#getOptions()">getOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableIteratedSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableIteratedSingleClassifierEnhancer</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL></DD></DL><HR><A NAME="shrinkageTipText()"><!-- --></A><H3>shrinkageTipText</H3><PRE>public java.lang.String <B>shrinkageTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="getShrinkage()"><!-- --></A><H3>getShrinkage</H3><PRE>public double <B>getShrinkage</B>()</PRE><DL><DD>Get the value of Shrinkage.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of Shrinkage.</DL></DD></DL><HR><A NAME="setShrinkage(double)"><!-- --></A><H3>setShrinkage</H3><PRE>public void <B>setShrinkage</B>(double newShrinkage)</PRE><DL><DD>Set the value of Shrinkage.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>newShrinkage</CODE> - Value to assign to Shrinkage.</DL></DD></DL><HR><A NAME="likelihoodThresholdTipText()"><!-- --></A><H3>likelihoodThresholdTipText</H3><PRE>public java.lang.String <B>likelihoodThresholdTipText</B>()</PRE><DL><DD>Returns the tip text for this property<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>tip text for this property suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="getLikelihoodThreshold()"><!-- --></A><H3>getLikelihoodThreshold</H3><PRE>public double <B>getLikelihoodThreshold</B>()</PRE><DL><DD>Get the value of Precision.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>Value of Precision.</DL></DD></DL><HR><A NAME="setLikelihoodThreshold(double)"><!-- --></A><H3>setLikelihoodThreshold</H3><PRE>public void <B>setLikelihoodThreshold</B>(double newPrecision)</PRE><DL><DD>Set the value of Precision.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>newPrecision</CODE> - Value to assign to Precision.</DL></DD></DL><HR>⌨️ 快捷键说明
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