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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_10) on Fri Jan 26 16:34:45 NZDT 2007 --><TITLE>OLM</TITLE><META NAME="keywords" CONTENT="weka.classifiers.misc.OLM class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="OLM";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY="">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A>&nbsp;</TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A>&nbsp;</TD>  </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">&nbsp;<A HREF="../../../weka/classifiers/misc/MinMaxExtension.html" title="class in weka.classifiers.misc"><B>PREV CLASS</B></A>&nbsp;&nbsp;<A HREF="../../../weka/classifiers/misc/OSDL.html" title="class in weka.classifiers.misc"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">  <A HREF="../../../index.html?weka/classifiers/misc/OLM.html" target="_top"><B>FRAMES</B></A>  &nbsp;&nbsp;<A HREF="OLM.html" target="_top"><B>NO FRAMES</B></A>  &nbsp;&nbsp;<SCRIPT type="text/javascript">  <!--  if(window==top) {    document.writeln('<A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A>');  }  //--></SCRIPT><NOSCRIPT>  <A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">  SUMMARY:&nbsp;NESTED&nbsp;|&nbsp;<A HREF="#field_summary">FIELD</A>&nbsp;|&nbsp;<A HREF="#constructor_summary">CONSTR</A>&nbsp;|&nbsp;<A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL:&nbsp;<A HREF="#field_detail">FIELD</A>&nbsp;|&nbsp;<A HREF="#constructor_detail">CONSTR</A>&nbsp;|&nbsp;<A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers.misc</FONT><BR>Class OLM</H2><PRE>java.lang.Object  <IMG SRC="../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">weka.classifiers.Classifier</A>      <IMG SRC="../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../weka/classifiers/RandomizableClassifier.html" title="class in weka.classifiers">weka.classifiers.RandomizableClassifier</A>          <IMG SRC="../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.misc.OLM</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable, java.lang.Cloneable, <A HREF="../../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A>, <A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, <A HREF="../../../weka/core/Randomizable.html" title="interface in weka.core">Randomizable</A>, <A HREF="../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>OLM</B><DT>extends <A HREF="../../../weka/classifiers/RandomizableClassifier.html" title="class in weka.classifiers">RandomizableClassifier</A><DT>implements <A HREF="../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DL></PRE><P><!-- globalinfo-start --> This class is an implementation of the Ordinal Learning Method<br/> Further information regarding the algorithm and variants can be found in:<br/> <br/> Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.<br/> <br/> Lievens, Stijn (2003-2004). Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken.. <p/> <!-- globalinfo-end --> <!-- technical-bibtex-start --> BibTeX: <pre> &#64;article{Ben-David1992,    author = {Arie Ben-David},    journal = {Decision Sciences},    pages = {1357-1372},    title = {Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications},    volume = {23},    year = {1992} }  &#64;mastersthesis{Lievens2003-2004,    author = {Lievens, Stijn},    school = {Ghent University},    title = {Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken.},    year = {2003-2004} } </pre> <p/> <!-- technical-bibtex-end -->  <!-- options-start --> Valid options are: <p/>  <pre> -S &lt;num&gt;  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> -C &lt;CL|REG&gt;  Sets the classification type to be used.  (Default: REG)</pre>  <pre> -A &lt;MEAN|MED|MAX&gt;  Sets the averaging type used in phase 1 of the classifier.  (Default: MEAN)</pre>  <pre> -N &lt;NONE|EUCL|HAM&gt;  If different from NONE, a nearest neighbour rule is fired when the  rule base doesn't contain an example smaller than the instance  to be classified  (Default: NONE).</pre>  <pre> -E &lt;MIN|MAX|BOTH&gt;  Sets the extension type, i.e. the rule base to use.  (Default: MIN)</pre>  <pre> -sort  If set, the instances are also sorted within the same class  before building the rule bases</pre>  <!-- options-end --><P><P><DL><DT><B>Version:</B></DT>  <DD>$Revision: 1.1 $</DD><DT><B>Author:</B></DT>  <DD>Stijn Lievens (stijn.lievens@ugent.be)</DD><DT><B>See Also:</B><DD><A HREF="../../../serialized-form.html#weka.classifiers.misc.OLM">Serialized Form</A></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#AT_MAXPROB">AT_MAXPROB</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use the mode for averaging in phase 1.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#AT_MEAN">AT_MEAN</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use the mean for averaging in phase 1.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#AT_MEDIAN">AT_MEDIAN</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use the median for averaging in phase 1.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#CT_REAL">CT_REAL</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;No rounding is performed during classification, this is the classification is done in a regression like way.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#CT_ROUNDED">CT_ROUNDED</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Round the real value that is returned by the original algorithm  to the nearest label.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#DT_EUCLID">DT_EUCLID</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use the Euclidian distance whenever a nearest neighbour  rule is fired.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#DT_HAMMING">DT_HAMMING</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use the Hamming distance, this is the  number of  positions in which the instances differ, whenever a  nearest neighbour rule is fired</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#DT_NONE">DT_NONE</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;No nearest neighbour rule will be fired when  classifying an instance for which there  is no smaller rule  in the rule base?</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#ET_BOTH">ET_BOTH</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Combine both the minimal and maximal extension, and use the  midpoint of the resulting interval as prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#ET_MAX">ET_MAX</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use only the maximal extension.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#ET_MIN">ET_MIN</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Use only the minimal extension, as in the original algorithm  of Ben-David.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#TAGS_AVERAGINGTYPES">TAGS_AVERAGINGTYPES</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;the averaging types</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#TAGS_CLASSIFICATIONTYPES">TAGS_CLASSIFICATIONTYPES</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;the classification types</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#TAGS_DISTANCETYPES">TAGS_DISTANCETYPES</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;the distance types</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;<A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#TAGS_EXTENSIONTYPES">TAGS_EXTENSIONTYPES</A></B></CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;the mode types</TD></TR></TABLE>&nbsp;<!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#OLM()">OLM</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</TD></TR></TABLE>&nbsp;<!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>&nbsp;java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#averagingTypeTipText()">averagingTypeTipText</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;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>&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/misc/OLM.html#buildClassifier(weka.core.Instances)">buildClassifier</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances)</CODE><BR>

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