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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 16:34:46 NZDT 2007 --><TITLE>DiscreteDistribution</TITLE><META NAME="keywords" CONTENT="weka.classifiers.misc.monotone.DiscreteDistribution class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="DiscreteDistribution";}</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" 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<A HREF="../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <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.monotone</FONT><BR>Class DiscreteDistribution</H2><PRE>java.lang.Object <IMG SRC="../../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.misc.monotone.DiscreteDistribution</B></PRE><HR><DL><DT><PRE>public class <B>DiscreteDistribution</B><DT>extends java.lang.Object</DL></PRE><P>This class represents a discrete probability distribution over a finite number of values. <p> In the present implementation, objects of type <code> DiscreteDistribution </code> are in fact immutable, so all one can do is create objects and retrieve information, such as median and mean, from them. </p> <p> This implementation is part of the master's thesis: "Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken", Stijn Lievens, Ghent University, 2004. </p><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></DL><HR><P><!-- ======== 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/monotone/DiscreteDistribution.html#DiscreteDistribution(weka.classifiers.misc.monotone.CumulativeDiscreteDistribution)">DiscreteDistribution</A></B>(<A HREF="../../../../weka/classifiers/misc/monotone/CumulativeDiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">CumulativeDiscreteDistribution</A> cdf)</CODE><BR> Create a <code> DiscreteDistribution </code> based on a <code> CumulativeDiscreteDistribution.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html#DiscreteDistribution(weka.estimators.DiscreteEstimator)">DiscreteDistribution</A></B>(<A HREF="../../../../weka/estimators/DiscreteEstimator.html" title="class in weka.estimators">DiscreteEstimator</A> e)</CODE><BR> Create a <code> DiscreteDistribution </code> based on a <code> DiscreteEstimator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html#DiscreteDistribution(double[])">DiscreteDistribution</A></B>(double[] dd)</CODE><BR> Create a <code> DiscreteDistribution </code> based on an array of doubles.</TD></TR></TABLE> <!-- ========== 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> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html#getNumSymbols()">getNumSymbols</A></B>()</CODE><BR> Get the number of elements over which the <code> DiscreteDistribution </code> is defined.</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/misc/monotone/DiscreteDistribution.html#getProbability(int)">getProbability</A></B>(int index)</CODE><BR> Get the probability of finding the element at a specified index.</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/misc/monotone/DiscreteDistribution.html#mean()">mean</A></B>()</CODE><BR> Calculate the mean of the distribution.</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/misc/monotone/DiscreteDistribution.html#median()">median</A></B>()</CODE><BR> Calculate the median of the distribution.</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/misc/monotone/DiscreteDistribution.html#modes()">modes</A></B>()</CODE><BR> Get a sorted array containing the indices of the elements with maximal probability.</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/misc/monotone/DiscreteDistribution.html#stochasticDominatedBy(weka.classifiers.misc.monotone.DiscreteDistribution)">stochasticDominatedBy</A></B>(<A HREF="../../../../weka/classifiers/misc/monotone/DiscreteDistribution.html" title="class in weka.classifiers.misc.monotone">DiscreteDistribution</A> dd)</CODE><BR> Checks if <code> this </code> is dominated by <code> dd.</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/misc/monotone/DiscreteDistribution.html#toArray()">toArray</A></B>()</CODE><BR> Convert the <code> DiscreteDistribution </code> to an array of doubles.</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/misc/monotone/DiscreteDistribution.html#toString()">toString</A></B>()</CODE><BR> Get a string representation of the given <code> DiscreteDistribution.</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>⌨️ 快捷键说明
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