bagging.html

这是一个由java实现的数据挖掘

<A NAME="m_Classifier"><!-- --></A><H3>
m_Classifier</H3>
<PRE>
protected <A HREF="../../weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The model base classifier to use</DL>
<HR>

<A NAME="m_Classifiers"><!-- --></A><H3>
m_Classifiers</H3>
<PRE>
protected <A HREF="../../weka/classifiers/Classifier.html">Classifier</A>[] <B>m_Classifiers</B></PRE>
<DL>
<DD>Array for storing the generated base classifiers.</DL>
<HR>

<A NAME="m_NumIterations"><!-- --></A><H3>
m_NumIterations</H3>
<PRE>
protected int <B>m_NumIterations</B></PRE>
<DL>
<DD>The number of iterations.</DL>
<HR>

<A NAME="m_Seed"><!-- --></A><H3>
m_Seed</H3>
<PRE>
protected int <B>m_Seed</B></PRE>
<DL>
<DD>The seed for random number generation.</DL>
<HR>

<A NAME="m_BagSizePercent"><!-- --></A><H3>
m_BagSizePercent</H3>
<PRE>
protected int <B>m_BagSizePercent</B></PRE>
<DL>
<DD>The size of each bag sample, as a percentage of the training size</DL>

<!-- ========= CONSTRUCTOR DETAIL ======== -->

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

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<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>

 -W classname <br>
 Specify the full class name of a weak classifier as the basis for 
 bagging (required).<p>

 -I num <br>
 Set the number of bagging iterations (default 10). <p>

 -S seed <br>
 Random number seed for resampling (default 1).<p>

 -P num <br>
 Size of each bag, as a percentage of the training size (default 100). <p>

 Options after -- are passed to the designated classifier.<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="setClassifier(weka.classifiers.Classifier)"><!-- --></A><H3>
setClassifier</H3>
<PRE>
public void <B>setClassifier</B>(<A HREF="../../weka/classifiers/Classifier.html">Classifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Set the classifier for bagging.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the Classifier to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getClassifier()"><!-- --></A><H3>
getClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html">Classifier</A> <B>getClassifier</B>()</PRE>
<DL>
<DD>Get the classifier used as the classifier<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the classifier used as the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="getBagSizePercent()"><!-- --></A><H3>
getBagSizePercent</H3>
<PRE>
public int <B>getBagSizePercent</B>()</PRE>
<DL>
<DD>Gets the size of each bag, as a percentage of the training set size.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the bag size, as a percentage.</DL>
</DD>
</DL>
<HR>

<A NAME="setBagSizePercent(int)"><!-- --></A><H3>
setBagSizePercent</H3>
<PRE>
public void <B>setBagSizePercent</B>(int&nbsp;newBagSizePercent)</PRE>
<DL>
<DD>Sets the size of each bag, as a percentage of the training set size.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newBagSizePercent</CODE> - the bag size, as a percentage.</DL>
</DD>
</DL>
<HR>

<A NAME="setNumIterations(int)"><!-- --></A><H3>
setNumIterations</H3>
<PRE>
public void <B>setNumIterations</B>(int&nbsp;numIterations)</PRE>
<DL>
<DD>Sets the number of bagging iterations<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getNumIterations()"><!-- --></A><H3>
getNumIterations</H3>
<PRE>
public int <B>getNumIterations</B>()</PRE>
<DL>
<DD>Gets the number of bagging iterations<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the maximum number of bagging iterations</DL>
</DD>
</DL>
<HR>

<A NAME="setSeed(int)"><!-- --></A><H3>
setSeed</H3>
<PRE>
public void <B>setSeed</B>(int&nbsp;seed)</PRE>
<DL>
<DD>Set the seed for random number generation.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>seed</CODE> - the seed</DL>
</DD>
</DL>
<HR>

<A NAME="getSeed()"><!-- --></A><H3>
getSeed</H3>
<PRE>
public int <B>getSeed</B>()</PRE>
<DL>
<DD>Gets the seed for the random number generations<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the seed for the random number generation</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>Bagging method.<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> - the training data to be used for generating the
 bagged classifier.<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier could not be built 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>preedicted class probability distribution<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if distribution can't be computed successfully</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns description of the bagged 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>description of the bagged 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 options</DL>
</DD>
</DL>
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