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< 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

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

<A NAME="setNumFolds(int)"><!-- --></A><H3>
setNumFolds</H3>
<PRE>
public void <B>setNumFolds</B>(int&nbsp;numFolds)
                 throws java.lang.Exception</PRE>
<DL>
<DD>Sets the number of folds for the cross-validation.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numFolds</CODE> - the number of folds for the cross-validation<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if parameter illegal</DL>
</DD>
</DL>
<HR>

<A NAME="setBaseClassifiers(weka.classifiers.Classifier[])"><!-- --></A><H3>
setBaseClassifiers</H3>
<PRE>
public void <B>setBaseClassifiers</B>(<A HREF="../../weka/classifiers/Classifier.html">Classifier</A>[]&nbsp;classifiers)</PRE>
<DL>
<DD>Sets the list of possible classifers to choose from.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>classifiers</CODE> - an array of classifiers with all options set.</DL>
</DD>
</DL>
<HR>

<A NAME="getBaseClassifiers()"><!-- --></A><H3>
getBaseClassifiers</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html">Classifier</A>[] <B>getBaseClassifiers</B>()</PRE>
<DL>
<DD>Gets the list of possible classifers to choose from.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the array of Classifiers</DL>
</DD>
</DL>
<HR>

<A NAME="getBaseClassifier(int)"><!-- --></A><H3>
getBaseClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html">Classifier</A> <B>getBaseClassifier</B>(int&nbsp;index)</PRE>
<DL>
<DD>Gets the specific classifier from the set of base classifiers.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - the index of the classifier to retrieve<DT><B>Returns:</B><DD>the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="setMetaClassifier(weka.classifiers.Classifier)"><!-- --></A><H3>
setMetaClassifier</H3>
<PRE>
public void <B>setMetaClassifier</B>(<A HREF="../../weka/classifiers/Classifier.html">Classifier</A>&nbsp;classifier)</PRE>
<DL>
<DD>Adds meta classifier<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>classifier</CODE> - the classifier with all options set.</DL>
</DD>
</DL>
<HR>

<A NAME="getMetaClassifier()"><!-- --></A><H3>
getMetaClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html">Classifier</A> <B>getMetaClassifier</B>()</PRE>
<DL>
<DD>Gets the meta classifier.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the meta classifier</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>Buildclassifier selects a classifier from the set of classifiers
 by minimising error on the training data.<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
 boosted 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="classifyInstance(weka.core.Instance)"><!-- --></A><H3>
classifyInstance</H3>
<PRE>
public double <B>classifyInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A>&nbsp;instance)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Classifies a given instance using the stacked classifier.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE> in class <CODE><A HREF="../../weka/classifiers/Classifier.html">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if instance could not be classified
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Output a representation of this classifier<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></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> - should contain the following arguments:
 -t training file [-T test file] [-c class index]</DL>
</DD>
</DL>
<HR>

<A NAME="metaFormat(weka.core.Instances)"><!-- --></A><H3>
metaFormat</H3>
<PRE>
protected <A HREF="../../weka/core/Instances.html">Instances</A> <B>metaFormat</B>(<A HREF="../../weka/core/Instances.html">Instances</A>&nbsp;instances)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Makes the format for the level-1 data.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instances</CODE> - the level-0 format<DT><B>Returns:</B><DD>the format for the meta data</DL>
</DD>
</DL>
<HR>

<A NAME="getBaseClassifierSpec(int)"><!-- --></A><H3>
getBaseClassifierSpec</H3>
<PRE>
protected java.lang.String <B>getBaseClassifierSpec</B>(int&nbsp;index)</PRE>
<DL>
<DD>Gets the classifier specification string, which contains the class name of
 the classifier and any options to the classifier<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - the index of the classifier string to retrieve, starting from
 0.<DT><B>Returns:</B><DD>the classifier string, or the empty string if no classifier
 has been assigned (or the index given is out of range).</DL>
</DD>
</DL>
<HR>

<A NAME="getClassifierSpec(weka.classifiers.Classifier)"><!-- --></A><H3>
getClassifierSpec</H3>
<PRE>
protected java.lang.String <B>getClassifierSpec</B>(<A HREF="../../weka/classifiers/Classifier.html">Classifier</A>&nbsp;c)</PRE>
<DL>
<DD>Gets the classifier specification string, which contains the class name of
 the classifier and any options to the classifier<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>c</CODE> - the classifier<DT><B>Returns:</B><DD>the classifier specification string.</DL>
</DD>
</DL>
<HR>

<A NAME="metaInstance(weka.core.Instance)"><!-- --></A><H3>
metaInstance</H3>
<PRE>
protected <A HREF="../../weka/core/Instance.html">Instance</A> <B>metaInstance</B>(<A HREF="../../weka/core/Instance.html">Instance</A>&nbsp;instance)
                         throws java.lang.Exception</PRE>
<DL>
<DD>Makes a level-1 instance from the given instance.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be transformed<DT><B>Returns:</B><DD>the level-1 instance</DL>
</DD>
</DL>
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