decisiontable.html

< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class

<B>Constructor Detail</B></FONT></TD>
</TR>
</TABLE>

<A NAME="DecisionTable()"><!-- --></A><H3>
DecisionTable</H3>
<PRE>
public <B>DecisionTable</B>()</PRE>
<DL>
<DD>Constructor for a DecisionTable</DL>

<!-- ============ METHOD DETAIL ========== -->

<A NAME="method_detail"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TD COLSPAN=1><FONT SIZE="+2">
<B>Method Detail</B></FONT></TD>
</TR>
</TABLE>

<A NAME="resetOptions()"><!-- --></A><H3>
resetOptions</H3>
<PRE>
protected void <B>resetOptions</B>()</PRE>
<DL>
<DD>Resets the options.<DD><DL>
</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<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">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="setCrossVal(int)"><!-- --></A><H3>
setCrossVal</H3>
<PRE>
public void <B>setCrossVal</B>(int&nbsp;folds)</PRE>
<DL>
<DD>Sets the number of folds for cross validation (1 = leave one out)<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>folds</CODE> - the number of folds</DL>
</DD>
</DL>
<HR>

<A NAME="getCrossVal()"><!-- --></A><H3>
getCrossVal</H3>
<PRE>
public int <B>getCrossVal</B>()</PRE>
<DL>
<DD>Gets the number of folds for cross validation<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of cross validation folds</DL>
</DD>
</DL>
<HR>

<A NAME="setMaxStale(int)"><!-- --></A><H3>
setMaxStale</H3>
<PRE>
public void <B>setMaxStale</B>(int&nbsp;stale)</PRE>
<DL>
<DD>Sets the number of non improving decision tables to consider
 before abandoning the search.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>stale</CODE> - the number of nodes</DL>
</DD>
</DL>
<HR>

<A NAME="getMaxStale()"><!-- --></A><H3>
getMaxStale</H3>
<PRE>
public int <B>getMaxStale</B>()</PRE>
<DL>
<DD>Gets the number of non improving decision tables<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of non improving decision tables</DL>
</DD>
</DL>
<HR>

<A NAME="setUseIBk(boolean)"><!-- --></A><H3>
setUseIBk</H3>
<PRE>
public void <B>setUseIBk</B>(boolean&nbsp;ibk)</PRE>
<DL>
<DD>Sets whether IBk should be used instead of the majority class<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ibk</CODE> - true if IBk is to be used</DL>
</DD>
</DL>
<HR>

<A NAME="getUseIBk()"><!-- --></A><H3>
getUseIBk</H3>
<PRE>
public boolean <B>getUseIBk</B>()</PRE>
<DL>
<DD>Gets whether IBk is being used instead of the majority class<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if IBk is being used</DL>
</DD>
</DL>
<HR>

<A NAME="setDisplayRules(boolean)"><!-- --></A><H3>
setDisplayRules</H3>
<PRE>
public void <B>setDisplayRules</B>(boolean&nbsp;rules)</PRE>
<DL>
<DD>Sets whether rules are to be printed<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>rules</CODE> - true if rules are to be printed</DL>
</DD>
</DL>
<HR>

<A NAME="getDisplayRules()"><!-- --></A><H3>
getDisplayRules</H3>
<PRE>
public boolean <B>getDisplayRules</B>()</PRE>
<DL>
<DD>Gets whether rules are being printed<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if rules are being printed</DL>
</DD>
</DL>
<HR>

<A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>
setOptions</H3>
<PRE>
public void <B>setOptions</B>(java.lang.String[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses the options for this object.

 Valid options are: <p>

 -S num <br>
 Number of fully expanded non improving subsets to consider
 before terminating a best first search.
 (Default = 5) <p>

 -X num <br>
 Use cross validation to evaluate features. Use number of folds = 1 for
 leave one out CV. (Default = leave one out CV) <p>
 
 -I <br>
 Use nearest neighbour instead of global table majority. <p>

 -R <br>
 Prints the decision table. <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">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.<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">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="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../weka/core/Instances.html">Instances</A>&nbsp;data)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates the classifier.<DD><DL>
<DT><B>Overrides:</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">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - set of instances serving as training data<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier has not been generated 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">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Calculates the class membership probabilities for the given 
 test instance.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/classifiers/DistributionClassifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>predicted class probability distribution<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if distribution can't be computed</DL>
</DD>
</DL>
<HR>

<A NAME="printFeatures()"><!-- --></A><H3>
printFeatures</H3>
<PRE>
public java.lang.String <B>printFeatures</B>()</PRE>
<DL>
<DD>Returns a string description of the features selected<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string of features</DL>
</DD>
</DL>
<HR>

<A NAME="measureNumRules()"><!-- --></A><H3>
measureNumRules</H3>
<PRE>
public double <B>measureNumRules</B>()</PRE>
<DL>
<DD>Returns the number of rules<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of rules</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 the additional measure names<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">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&nbsp;additionalMeasureName)</PRE>
<DL>
<DD>Returns the value of the named measure<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">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="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of the classifier.<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a description of the classifier as a string.</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;argv)</PRE>
<DL>
<DD>Main method for testing this class.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - the command-line options</DL>
</DD>
</DL>
<!-- ========= END OF CLASS DATA ========= -->
<HR>

<!-- ========== START OF NAVBAR ========== -->
<A NAME="navbar_bottom"><!-- --></A>
<TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0">
<TR>
<TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1">
<A NAME="navbar_bottom_firstrow"><!-- --></A>
<TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3">
  <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>
  </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/DecisionStump.html"><B>PREV CLASS</B></A>&nbsp;
&nbsp;<A HREF="../../weka/classifiers/DecisionTable.hashKey.html"><B>NEXT CLASS</B></A></FONT></TD>
<TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">
  <A HREF="../../index.html" TARGET="_top"><B>FRAMES</B></A>  &nbsp;
&nbsp;<A HREF="DecisionTable.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD>
</TR>
<TR>
<TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">
  SUMMARY: &nbsp;<A HREF="#inner_class_summary">INNER</A>&nbsp;|&nbsp;FIELD&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;FIELD&nbsp;|&nbsp;<A HREF="#constructor_detail">CONSTR</A>&nbsp;|&nbsp;<A HREF="#method_detail">METHOD</A></FONT></TD>
</TR>
</TABLE>
<!-- =========== END OF NAVBAR =========== -->

<HR>

</BODY>
</HTML>