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<BR> Returns the revision string.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/meta/Dagging.html#getTechnicalInformation()">getTechnicalInformation</A></B>()</CODE><BR> 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.</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/meta/Dagging.html#getVerbose()">getVerbose</A></B>()</CODE><BR> Gets the verbose state</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/Dagging.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing classifier</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/meta/Dagging.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/meta/Dagging.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> Main method for testing this class.</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/Dagging.html#numFoldsTipText()">numFoldsTipText</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> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/meta/Dagging.html#setNumFolds(int)">setNumFolds</A></B>(int value)</CODE><BR> Sets the number of folds to use for splitting the training set.</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/Dagging.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/Dagging.html#setVerbose(boolean)">setVerbose</A></B>(boolean value)</CODE><BR> Set the verbose state.</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/Dagging.html#toString()">toString</A></B>()</CODE><BR> Returns description of the 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/Dagging.html#verboseTipText()">verboseTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.RandomizableSingleClassifierEnhancer"><!-- --></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/RandomizableSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableSingleClassifierEnhancer</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html#getSeed()">getSeed</A>, <A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html#seedTipText()">seedTipText</A>, <A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html#setSeed(int)">setSeed</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#getCapabilities()">getCapabilities</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="Dagging()"><!-- --></A><H3>Dagging</H3><PRE>public <B>Dagging</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/RandomizableSingleClassifierEnhancer.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableSingleClassifierEnhancer.html" title="class in weka.classifiers">RandomizableSingleClassifierEnhancer</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> -F <folds> The number of folds for splitting the training set into smaller chunks for the base classifier. (default 10)</pre> <pre> -verbose Whether to print some more information during building the classifier. (default is off)</pre> <pre> -S <num> Random number seed. (default 1)</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.functions.SMO)</pre> <pre> Options specific to classifier weka.classifiers.functions.SMO: </pre> <pre> -D If set, classifier is run in debug mode and may output additional info to the console</pre> <pre> -no-checks Turns off all checks - use with caution! Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a nominal class. Turning them off also means that no header information will be stored if the machine is linear. Finally, it also assumes that no instance has a weight equal to 0. (default: checks on)</pre> <pre> -C <double> The complexity constant C. (default 1)</pre> <pre> -N Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize)</pre> <pre> -L <double> The tolerance parameter. (default 1.0e-3)</pre> <pre> -P <double> The epsilon for round-off error. (default 1.0e-12)</pre> <pre> -M Fit logistic models to SVM outputs. </pre> <pre> -V <double> The number of folds for the internal cross-validation. (default -1, use training data)</pre> <pre> -W <double> The random number seed. (default 1)</pre> <pre> -K <classname and parameters> The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)</pre> <pre> Options specific to kernel weka.classifiers.functions.supportVector.PolyKernel: </pre> <pre> -D Enables debugging output (if available) to be printed. (default: off)</pre> <pre> -no-checks Turns off all checks - use with caution! (default: checks on)</pre>⌨️ 快捷键说明
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