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<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/functions/SMO.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> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/SMO.html#lowerOrderTermsTipText()">lowerOrderTermsTipText</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>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/SMO.html#main(java.lang.String[])">main</A></B>(java.lang.String[] argv)</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> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/SMO.html#numClassAttributeValues()">numClassAttributeValues</A></B>()</CODE><BR> </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/functions/SMO.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> int[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/functions/SMO.html#obtainVotes(weka.core.Instance)">obtainVotes</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> inst)</CODE><BR> Returns an array of votes for the given instance.</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/functions/SMO.html#pairwiseCoupling(double[][], double[][])">pairwiseCoupling</A></B>(double[][] n, double[][] r)</CODE><BR> Implements pairwise coupling.</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/functions/SMO.html#randomSeedTipText()">randomSeedTipText</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/functions/SMO.html#setBuildLogisticModels(boolean)">setBuildLogisticModels</A></B>(boolean newbuildLogisticModels)</CODE><BR> Set the value of buildLogisticModels.</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/functions/SMO.html#setC(double)">setC</A></B>(double v)</CODE><BR> Set the value of C.</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/functions/SMO.html#setCacheSize(int)">setCacheSize</A></B>(int v)</CODE><BR> Set the value of the kernel cache.</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/functions/SMO.html#setEpsilon(double)">setEpsilon</A></B>(double v)</CODE><BR> Set the value of epsilon.</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/functions/SMO.html#setExponent(double)">setExponent</A></B>(double v)</CODE><BR> Set the value of exponent.</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/functions/SMO.html#setFeatureSpaceNormalization(boolean)">setFeatureSpaceNormalization</A></B>(boolean v)</CODE><BR> Set whether feature space is normalized.</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/functions/SMO.html#setFilterType(weka.core.SelectedTag)">setFilterType</A></B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> newType)</CODE><BR> Sets how the training data will be transformed.</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/functions/SMO.html#setGamma(double)">setGamma</A></B>(double v)</CODE><BR> Set the value of gamma.</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/functions/SMO.html#setLowerOrderTerms(boolean)">setLowerOrderTerms</A></B>(boolean v)</CODE><BR> Set whether lower-order terms are to be used.</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/functions/SMO.html#setNumFolds(int)">setNumFolds</A></B>(int newnumFolds)</CODE><BR> Set the value of numFolds.</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/functions/SMO.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/functions/SMO.html#setRandomSeed(int)">setRandomSeed</A></B>(int newrandomSeed)</CODE><BR> Set the value of randomSeed.</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/functions/SMO.html#setToleranceParameter(double)">setToleranceParameter</A></B>(double v)</CODE><BR> Set the value of tolerance parameter.</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/functions/SMO.html#setUseRBF(boolean)">setUseRBF</A></B>(boolean v)</CODE><BR> Set if the RBF kernel is to be used.</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/functions/SMO.html#sparseIndices()">sparseIndices</A></B>()</CODE><BR> Returns the indices in sparse format.</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/functions/SMO.html#sparseWeights()">sparseWeights</A></B>()</CODE><BR> Returns the weights in sparse format.</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/functions/SMO.html#toleranceParameterTipText()">toleranceParameterTipText</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/functions/SMO.html#toString()">toString</A></B>()</CODE><BR> Prints out the classifier.</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/functions/SMO.html#turnChecksOff()">turnChecksOff</A></B>()</CODE><BR> Turns off checks for missing values, etc.</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/functions/SMO.html#turnChecksOn()">turnChecksOn</A></B>()</CODE><BR> Turns on checks for missing values, etc.</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/functions/SMO.html#useRBFTipText()">useRBFTipText</A></B>()</CODE><BR> Returns the tip text for this property</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"><TD><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TD></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"><TD><B>Methods inherited from class java.lang.Object</B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Field Detail</B></FONT></TD></TR></TABLE><A NAME="FILTER_NORMALIZE"><!-- --></A><H3>FILTER_NORMALIZE</H3><PRE>public static final int <B>FILTER_NORMALIZE</B></PRE><DL><DD>The filter to apply to the training data<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.SMO.FILTER_NORMALIZE">Constant Field Values</A></DL></DL><HR><A NAME="FILTER_STANDARDIZE"><!-- --></A><H3>FILTER_STANDARDIZE</H3><PRE>public static final int <B>FILTER_STANDARDIZE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.SMO.FILTER_STANDARDIZE">Constant Field Values</A></DL></DL><HR><A NAME="FILTER_NONE"><!-- --></A><H3>FILTER_NONE</H3><PRE>public static final int <B>FILTER_NONE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.functions.SMO.FILTER_NONE">Constant Field Values</A></DL></DL><HR><A NAME="TAGS_FILTER"><!-- --></A><H3>TAGS_FILTER</H3><PRE>public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_FILTER</B></PRE><DL><DL></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="SMO()"><!-- --></A><H3>SMO</H3><PRE>public <B>SMO</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></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="turnChecksOff()"><!-- --></A><H3>turnChecksOff</H3><PRE>public void <B>turnChecksOff</B>()</PRE><DL><DD>Turns off checks for missing values, etc. Use with caution.<P><DD><DL></DL></DD><DD><DL></DL></DD></DL><HR><A NAME="turnChecksOn()"><!-- --></A><H3>turnChecksOn</H3><PRE>public void <B>turnChecksOn</B>()</PRE><DL><DD>Turns on checks for missing values, etc.<P><DD><DL></DL></DD><DD><DL></DL></DD></DL><HR><A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>buildClassifier</H3><PRE>public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> insts) throws java.lang.Exception</PRE><DL><DD>Method for building the classifier. Implements a one-against-one wrapper for multi-class problems.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>insts</CODE> - the set of training instances<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier can't be built successfully</DL></DD></DL><HR><A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>distributionForInstance</H3><PRE>public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> inst) throws java.lang.Exception</PRE><DL><DD>Estimates class probabilities for given instance.<P><DD><DL><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance to be classified<DT><B>Returns:</B><DD>an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if distribution could not be computed successfully</DL></DD></DL><HR><A NAME="pairwiseCoupling(double[][], double[][])"><!-- --></A><H3>pairwiseCoupling</H3><PRE>public double[] <B>pairwiseCoupling</B>(double[][] n, double[][] r)</PRE><DL><DD>Implements pairwise coupling.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>n</CODE> - the sum of weights used to train each model<DD><CODE>r</CODE> - the probability estimate from each model<DT><B>Returns:</B><DD>the coupled estimates</DL></DD></DL><HR><A NAME="obtainVotes(weka.core.Instance)"><!-- --></A><H3>obtainVotes</H3><PRE>public int[] <B>obtainVotes</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> inst) throws java.lang.Exception</PRE><DL><DD>Returns an array of votes for the given instance.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance<DT><B>Returns:</B><DD>array of votex<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL></DD></DL><HR><A NAME="sparseWeights()"><!-- --></A><H3>sparseWeights</H3><PRE>public double[][][] <B>sparseWeights</B>()</PRE><DL><DD>Returns the weights in sparse format.⌨️ 快捷键说明
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