hyperpipes.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

<TD><CODE><A HREF="../../weka/classifiers/DistributionClassifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE></TD>
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<TD><B>Methods inherited from class weka.classifiers.<A HREF="../../weka/classifiers/Classifier.html">Classifier</A></B></TD>
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<TD><CODE><A HREF="../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A></CODE></TD>
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<TD><B>Methods inherited from class java.lang.Object</B></TD>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD>
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<A NAME="m_ClassIndex"><!-- --></A><H3>
m_ClassIndex</H3>
<PRE>
protected int <B>m_ClassIndex</B></PRE>
<DL>
<DD>The index of the class attribute</DL>
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<A NAME="m_Instances"><!-- --></A><H3>
m_Instances</H3>
<PRE>
protected <A HREF="../../weka/core/Instances.html">Instances</A> <B>m_Instances</B></PRE>
<DL>
<DD>The structure of the training data</DL>
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<A NAME="m_HyperPipes"><!-- --></A><H3>
m_HyperPipes</H3>
<PRE>
protected weka.classifiers.HyperPipes.HyperPipe[] <B>m_HyperPipes</B></PRE>
<DL>
<DD>Stores the HyperPipe for each class</DL>

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<A NAME="HyperPipes()"><!-- --></A><H3>
HyperPipes</H3>
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public <B>HyperPipes</B>()</PRE>
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<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;instances)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates the classifier.<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>instances</CODE> - set of instances serving as training data<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier has not been generated successfully</DL>
</DD>
</DL>
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<A NAME="updateClassifier(weka.core.Instance)"><!-- --></A><H3>
updateClassifier</H3>
<PRE>
public void <B>updateClassifier</B>(<A HREF="../../weka/core/Instance.html">Instance</A>&nbsp;instance)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Updates the classifier.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be put into the classifier<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the instance could not be included successfully</DL>
</DD>
</DL>
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<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>Classifies 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>the predicted class for the instance<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the instance can't be classified</DL>
</DD>
</DL>
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<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of this 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>a description of this classifier as a string.</DL>
</DD>
</DL>
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<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>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - should contain command line arguments for evaluation
 (see Evaluation).</DL>
</DD>
</DL>
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