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<!-- ============ 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="FILTER_NORMALIZE"><!-- --></A><H3>FILTER_NORMALIZE</H3><PRE>public static final int <B>FILTER_NORMALIZE</B></PRE><DL><DD>Normalize training data<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.mi.MISMO.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><DD>Standardize training data<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.mi.MISMO.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><DD>No normalization/standardization<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.mi.MISMO.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><DD>The filter to apply to the training data<P><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"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="MISMO()"><!-- --></A><H3>MISMO</H3><PRE>public <B>MISMO</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"><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="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="getCapabilities()"><!-- --></A><H3>getCapabilities</H3><PRE>public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE><DL><DD>Returns default capabilities of the classifier.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/CapabilitiesHandler.html#getCapabilities()">getCapabilities</A></CODE> in interface <CODE><A HREF="../../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getCapabilities()">getCapabilities</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>Returns:</B><DD>the capabilities of this classifier<DT><B>See Also:</B><DD><A HREF="../../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></DL></DD></DL><HR><A NAME="getMultiInstanceCapabilities()"><!-- --></A><H3>getMultiInstanceCapabilities</H3><PRE>public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getMultiInstanceCapabilities</B>()</PRE><DL><DD>Returns the capabilities of this multi-instance classifier for the relational data.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/MultiInstanceCapabilitiesHandler.html#getMultiInstanceCapabilities()">getMultiInstanceCapabilities</A></CODE> in interface <CODE><A HREF="../../../weka/core/MultiInstanceCapabilitiesHandler.html" title="interface in weka.core">MultiInstanceCapabilitiesHandler</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>the capabilities of this object<DT><B>See Also:</B><DD><A HREF="../../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></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>&nbsp;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>&nbsp;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 compute the distribution for<DT><B>Returns:</B><DD>the class probabilities<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if computation fails</DL></DD></DL><HR><A NAME="pairwiseCoupling(double[][], double[][])"><!-- --></A><H3>pairwiseCoupling</H3><PRE>public double[] <B>pairwiseCoupling</B>(double[][]&nbsp;n,                                 double[][]&nbsp;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="sparseWeights()"><!-- --></A><H3>sparseWeights</H3><PRE>public double[][][] <B>sparseWeights</B>()</PRE><DL><DD>Returns the weights in sparse format.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the weights in sparse format</DL></DD></DL><HR><A NAME="sparseIndices()"><!-- --></A><H3>sparseIndices</H3><PRE>public int[][][] <B>sparseIndices</B>()</PRE><DL><DD>Returns the indices in sparse format.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the indices in sparse format</DL></DD></DL><HR><A NAME="bias()"><!-- --></A><H3>bias</H3><PRE>public double[][] <B>bias</B>()</PRE><DL><DD>Returns the bias of each binary SMO.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the bias of each binary SMO</DL></DD></DL><HR><A NAME="numClassAttributeValues()"><!-- --></A><H3>numClassAttributeValues</H3><PRE>public int <B>numClassAttributeValues</B>()</PRE><DL><DD>Returns the number of values of the class attribute.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the number values of the class attribute</DL></DD></DL><HR><A NAME="classAttributeNames()"><!-- --></A><H3>classAttributeNames</H3><PRE>public java.lang.String[] <B>classAttributeNames</B>()</PRE><DL><DD>Returns the names of the class attributes.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the names of the class attributes</DL></DD></DL><HR><A NAME="attributeNames()"><!-- --></A><H3>attributeNames</H3><PRE>public java.lang.String[][][] <B>attributeNames</B>()</PRE><DL><DD>Returns the attribute names.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the attribute names</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/Classifier.html#listOptions()">listOptions</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>Returns:</B><DD>an enumeration of all the available options.</DL>

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