randomsearch.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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<B>Method Detail</B></FONT></TD>
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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 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<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>

 -P <start set> <br>
 Specify a starting set of attributes. Eg 1,4,7-9. <p>

 -F <percent) <br>
 Percentage of the search space to consider. (default = 25). <p>

 -V <br>
 Verbose output. Output new best subsets as the search progresses. <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="startSetTipText()"><!-- --></A><H3>
startSetTipText</H3>
<PRE>
public java.lang.String <B>startSetTipText</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="setStartSet(java.lang.String)"><!-- --></A><H3>
setStartSet</H3>
<PRE>
public void <B>setStartSet</B>(java.lang.String&nbsp;startSet)
                 throws java.lang.Exception</PRE>
<DL>
<DD>Sets a starting set of attributes for the search. It is the
 search method's responsibility to report this start set (if any)
 in its toString() method.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/attributeSelection/StartSetHandler.html#setStartSet(java.lang.String)">setStartSet</A></CODE> in interface <CODE><A HREF="../../weka/attributeSelection/StartSetHandler.html">StartSetHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>startSet</CODE> - a string containing a list of attributes (and or ranges),
 eg. 1,2,6,10-15. "" indicates no start point.
 If a start point is supplied, random search evaluates the
 start point and then looks for subsets that are as good as or better 
 than the start point with the same or lower cardinality.<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if start set can't be set.</DL>
</DD>
</DL>
<HR>

<A NAME="getStartSet()"><!-- --></A><H3>
getStartSet</H3>
<PRE>
public java.lang.String <B>getStartSet</B>()</PRE>
<DL>
<DD>Returns a list of attributes (and or attribute ranges) as a String<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../weka/attributeSelection/StartSetHandler.html#getStartSet()">getStartSet</A></CODE> in interface <CODE><A HREF="../../weka/attributeSelection/StartSetHandler.html">StartSetHandler</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a list of attributes (and or attribute ranges)</DL>
</DD>
</DL>
<HR>

<A NAME="verboseTipText()"><!-- --></A><H3>
verboseTipText</H3>
<PRE>
public java.lang.String <B>verboseTipText</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="setVerbose(boolean)"><!-- --></A><H3>
setVerbose</H3>
<PRE>
public void <B>setVerbose</B>(boolean&nbsp;v)</PRE>
<DL>
<DD>set whether or not to output new best subsets as the search proceeds<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - true if output is to be verbose</DL>
</DD>
</DL>
<HR>

<A NAME="getVerbose()"><!-- --></A><H3>
getVerbose</H3>
<PRE>
public boolean <B>getVerbose</B>()</PRE>
<DL>
<DD>get whether or not output is verbose<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if output is set to verbose</DL>
</DD>
</DL>
<HR>

<A NAME="searchPercentTipText()"><!-- --></A><H3>
searchPercentTipText</H3>
<PRE>
public java.lang.String <B>searchPercentTipText</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="setSearchPercent(double)"><!-- --></A><H3>
setSearchPercent</H3>
<PRE>
public void <B>setSearchPercent</B>(double&nbsp;p)</PRE>
<DL>
<DD>set the percentage of the search space to consider<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>p</CODE> - percent of the search space ( 0 < p <= 100)</DL>
</DD>
</DL>
<HR>

<A NAME="getSearchPercent()"><!-- --></A><H3>
getSearchPercent</H3>
<PRE>
public double <B>getSearchPercent</B>()</PRE>
<DL>
<DD>get the percentage of the search space to consider<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the percent of the search space explored</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 RandomSearch.<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="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>prints a description of the search<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 as a string</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>Searches the attribute subset space using a genetic algorithm.<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 attribute 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>
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