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<BR> Set a list of method names for additional measures to look for in Classifiers.</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/experiment/DensityBasedClustererSplitEvaluator.html#setClusterer(weka.clusterers.DensityBasedClusterer)">setClusterer</A></B>(<A HREF="../../weka/clusterers/DensityBasedClusterer.html" title="interface in weka.clusterers">DensityBasedClusterer</A> newClusterer)</CODE><BR> Sets the clusterer.</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/experiment/DensityBasedClustererSplitEvaluator.html#setClustererName(java.lang.String)">setClustererName</A></B>(java.lang.String newClustererName)</CODE><BR> Set the Clusterer to use, given it's class name.</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/experiment/DensityBasedClustererSplitEvaluator.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/experiment/DensityBasedClustererSplitEvaluator.html#setRemoveClassColumn(boolean)">setRemoveClassColumn</A></B>(boolean r)</CODE><BR> Set whether the class column should be removed from the data.</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/experiment/DensityBasedClustererSplitEvaluator.html#toString()">toString</A></B>()</CODE><BR> Returns a text description of the split evaluator.</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="DensityBasedClustererSplitEvaluator()"><!-- --></A><H3>DensityBasedClustererSplitEvaluator</H3><PRE>public <B>DensityBasedClustererSplitEvaluator</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 this split evaluator<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description of the split evaluator suitable for displaying in the explorer/experimenter gui</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></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. Valid options are:<p> -W classname <br> Specify the full class name of the clusterer to evaluate. <p> All option after -- will be passed to the classifier.<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></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></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL></DD></DL><HR><A NAME="setAdditionalMeasures(java.lang.String[])"><!-- --></A><H3>setAdditionalMeasures</H3><PRE>public void <B>setAdditionalMeasures</B>(java.lang.String[] additionalMeasures)</PRE><DL><DD>Set a list of method names for additional measures to look for in Classifiers. This could contain many measures (of which only a subset may be produceable by the current Classifier) if an experiment is the type that iterates over a set of properties.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#setAdditionalMeasures(java.lang.String[])">setAdditionalMeasures</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>additionalMeasures</CODE> - a list of method names</DL></DD></DL><HR><A NAME="enumerateMeasures()"><!-- --></A><H3>enumerateMeasures</H3><PRE>public java.util.Enumeration <B>enumerateMeasures</B>()</PRE><DL><DD>Returns an enumeration of any additional measure names that might be in the classifier<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html#enumerateMeasures()">enumerateMeasures</A></CODE> in interface <CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an enumeration of the measure names</DL></DD></DL><HR><A NAME="getMeasure(java.lang.String)"><!-- --></A><H3>getMeasure</H3><PRE>public double <B>getMeasure</B>(java.lang.String additionalMeasureName)</PRE><DL><DD>Returns the value of the named measure<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html#getMeasure(java.lang.String)">getMeasure</A></CODE> in interface <CODE><A HREF="../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>measureName</CODE> - the name of the measure to query for its value<DT><B>Returns:</B><DD>the value of the named measure<DT><B>Throws:</B><DD><CODE>java.lang.IllegalArgumentException</CODE> - if the named measure is not supported</DL></DD></DL><HR><A NAME="getKeyTypes()"><!-- --></A><H3>getKeyTypes</H3><PRE>public java.lang.Object[] <B>getKeyTypes</B>()</PRE><DL><DD>Gets the data types of each of the key columns produced for a single run. The number of key fields must be constant for a given SplitEvaluator.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getKeyTypes()">getKeyTypes</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array containing objects of the type of each key column. The objects should be Strings, or Doubles.</DL></DD></DL><HR><A NAME="getKeyNames()"><!-- --></A><H3>getKeyNames</H3><PRE>public java.lang.String[] <B>getKeyNames</B>()</PRE><DL><DD>Gets the names of each of the key columns produced for a single run. The number of key fields must be constant for a given SplitEvaluator.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getKeyNames()">getKeyNames</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array containing the name of each key column</DL></DD></DL><HR><A NAME="getKey()"><!-- --></A><H3>getKey</H3><PRE>public java.lang.Object[] <B>getKey</B>()</PRE><DL><DD>Gets the key describing the current SplitEvaluator. For example This may contain the name of the classifier used for classifier predictive evaluation. The number of key fields must be constant for a given SplitEvaluator.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../weka/experiment/SplitEvaluator.html#getKey()">getKey</A></CODE> in interface <CODE><A HREF="../../weka/experiment/SplitEvaluator.html" title="interface in weka.experiment">SplitEvaluator</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array of objects containing the key.</DL></DD></DL><HR><A NAME="getResultTypes()"><!-- --></A><H3>getResultTypes</H3><PRE>public java.lang.Object[] <B>getResultTypes</B>()</PRE><DL><DD>Gets the data types of each of the result columns produced for a single run. The number of result fields must be constant for a given SplitEvaluator.<P><DD><DL>
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