attributeselection.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

public java.lang.String <B>toResultsString</B>()</PRE>
<DL>
<DD>get a description of the attribute selection
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a String describing the results of attribute selection</DL>
</DD>
</DL>
<HR>

<A NAME="reduceDimensionality(weka.core.Instances)"><!-- --></A><H3>
reduceDimensionality</H3>
<PRE>
public <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>reduceDimensionality</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;in)
                               throws java.lang.Exception</PRE>
<DL>
<DD>reduce the dimensionality of a set of instances to include only those 
 attributes chosen by the last run of attribute selection.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>in</CODE> - the instances to be reduced
<DT><B>Returns:</B><DD>a dimensionality reduced set of instances
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the instances can't be reduced</DL>
</DD>
</DL>
<HR>

<A NAME="reduceDimensionality(weka.core.Instance)"><!-- --></A><H3>
reduceDimensionality</H3>
<PRE>
public <A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A> <B>reduceDimensionality</B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;in)
                              throws java.lang.Exception</PRE>
<DL>
<DD>reduce the dimensionality of a single instance to include only those 
 attributes chosen by the last run of attribute selection.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>in</CODE> - the instance to be reduced
<DT><B>Returns:</B><DD>a dimensionality reduced instance
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the instance can't be reduced</DL>
</DD>
</DL>
<HR>

<A NAME="SelectAttributes(weka.attributeSelection.ASEvaluation, java.lang.String[])"><!-- --></A><H3>
SelectAttributes</H3>
<PRE>
public static java.lang.String <B>SelectAttributes</B>(<A HREF="../../weka/attributeSelection/ASEvaluation.html" title="class in weka.attributeSelection">ASEvaluation</A>&nbsp;ASEvaluator,
                                                java.lang.String[]&nbsp;options)
                                         throws java.lang.Exception</PRE>
<DL>
<DD>Perform attribute selection with a particular evaluator and
 a set of options specifying search method and input file etc.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ASEvaluator</CODE> - an evaluator object<DD><CODE>options</CODE> - an array of options, not only for the evaluator
 but also the search method (if any) and an input data file
<DT><B>Returns:</B><DD>the results of attribute selection as a String
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if no training file is set</DL>
</DD>
</DL>
<HR>

<A NAME="CVResultsString()"><!-- --></A><H3>
CVResultsString</H3>
<PRE>
public java.lang.String <B>CVResultsString</B>()
                                 throws java.lang.Exception</PRE>
<DL>
<DD>returns a string summarizing the results of repeated attribute
 selection runs on splits of a dataset.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a summary of attribute selection results
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if no attribute selection has been performed.</DL>
</DD>
</DL>
<HR>

<A NAME="selectAttributesCVSplit(weka.core.Instances)"><!-- --></A><H3>
selectAttributesCVSplit</H3>
<PRE>
public void <B>selectAttributesCVSplit</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;split)
                             throws java.lang.Exception</PRE>
<DL>
<DD>Select attributes for a split of the data. Calling this function
 updates the statistics on attribute selection. CVResultsString()
 returns a string summarizing the results of repeated calls to
 this function. Assumes that splits are from the same dataset---
 ie. have the same number and types of attributes as previous
 splits.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>split</CODE> - the instances to select attributes from
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
</DD>
</DL>
<HR>

<A NAME="CrossValidateAttributes()"><!-- --></A><H3>
CrossValidateAttributes</H3>
<PRE>
public java.lang.String <B>CrossValidateAttributes</B>()
                                         throws java.lang.Exception</PRE>
<DL>
<DD>Perform a cross validation for attribute selection. With subset
 evaluators the number of times each attribute is selected over
 the cross validation is reported. For attribute evaluators, the
 average merit and average ranking + std deviation is reported for
 each attribute.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the results of cross validation as a String
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an error occurs during cross validation</DL>
</DD>
</DL>
<HR>

<A NAME="SelectAttributes(weka.core.Instances)"><!-- --></A><H3>
SelectAttributes</H3>
<PRE>
public void <B>SelectAttributes</B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Perform attribute selection on the supplied training instances.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the instances to select attributes from
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if there is a problem during selection</DL>
</DD>
</DL>
<HR>

<A NAME="SelectAttributes(weka.attributeSelection.ASEvaluation, java.lang.String[], weka.core.Instances)"><!-- --></A><H3>
SelectAttributes</H3>
<PRE>
public static java.lang.String <B>SelectAttributes</B>(<A HREF="../../weka/attributeSelection/ASEvaluation.html" title="class in weka.attributeSelection">ASEvaluation</A>&nbsp;ASEvaluator,
                                                java.lang.String[]&nbsp;options,
                                                <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;train)
                                         throws java.lang.Exception</PRE>
<DL>
<DD>Perform attribute selection with a particular evaluator and
 a set of options specifying search method and options for the
 search method and evaluator.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ASEvaluator</CODE> - an evaluator object<DD><CODE>options</CODE> - an array of options, not only for the evaluator
 but also the search method (if any) and an input data file<DD><CODE>train</CODE> - the input instances
<DT><B>Returns:</B><DD>the results of attribute selection as a String
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if incorrect options are supplied</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;args)</PRE>
<DL>
<DD>Main method for testing this class.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - the options</DL>
</DD>
</DL>
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