ranksearch.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

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<A NAME="RankSearch()"><!-- --></A><H3>
RankSearch</H3>
<PRE>
public <B>RankSearch</B>()</PRE>
<DL>
</DL>

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<A NAME="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<DD>Returns a string describing this search method<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a description of the search method suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="attributeEvaluatorTipText()"><!-- --></A><H3>
attributeEvaluatorTipText</H3>
<PRE>
public java.lang.String <B>attributeEvaluatorTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="setAttributeEvaluator(weka.attributeSelection.ASEvaluation)"><!-- --></A><H3>
setAttributeEvaluator</H3>
<PRE>
public void <B>setAttributeEvaluator</B>(<A HREF="../../weka/attributeSelection/ASEvaluation.html">ASEvaluation</A>&nbsp;newEvaluator)</PRE>
<DL>
<DD>Set the attribute evaluator to use for generating the ranking.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newEvaluator</CODE> - the attribute evaluator to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getAttributeEvaluator()"><!-- --></A><H3>
getAttributeEvaluator</H3>
<PRE>
public <A HREF="../../weka/attributeSelection/ASEvaluation.html">ASEvaluation</A> <B>getAttributeEvaluator</B>()</PRE>
<DL>
<DD>Get the attribute evaluator used to generate the ranking.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the evaluator used to generate the ranking.</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="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 a given list of options.

 Valid options are:<p>

 -A <attribute evaluator> <br><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 WrapperSubsetEval.<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="resetOptions()"><!-- --></A><H3>
resetOptions</H3>
<PRE>
protected void <B>resetOptions</B>()</PRE>
<DL>
<DD>Reset the search method.<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="search(weka.attributeSelection.ASEvaluation, weka.core.Instances)"><!-- --></A><H3>
search</H3>
<PRE>
public int[] <B>search</B>(<A HREF="../../weka/attributeSelection/ASEvaluation.html">ASEvaluation</A>&nbsp;ASEval,
                    <A HREF="../../weka/core/Instances.html">Instances</A>&nbsp;data)
             throws java.lang.Exception</PRE>
<DL>
<DD>Ranks attributes using the specified attribute evaluator and then
 searches the ranking using the supplied subset evaluator.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/attributeSelection/ASSearch.html#search(weka.attributeSelection.ASEvaluation, weka.core.Instances)">search</A></CODE> in class <CODE><A HREF="../../weka/attributeSelection/ASSearch.html">ASSearch</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ASEvaluator</CODE> - the subset evaluator to guide the search<DD><CODE>data</CODE> - the training instances.<DT><B>Returns:</B><DD>an array (not necessarily ordered) of selected attribute indexes<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the search can't be completed</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 search as a String<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 search</DL>
</DD>
</DL>
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