m5prime.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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<A NAME="TAGS_MODEL_TYPES"><!-- --></A><H3>
TAGS_MODEL_TYPES</H3>
<PRE>
public static final <A HREF="../../../weka/core/Tag.html">Tag</A>[] <B>TAGS_MODEL_TYPES</B></PRE>
<DL>
</DL>

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<A NAME="M5Prime()"><!-- --></A><H3>
M5Prime</H3>
<PRE>
public <B>M5Prime</B>()</PRE>
<DL>
</DL>

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<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public final void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html">Instances</A>&nbsp;inst)
                           throws java.lang.Exception</PRE>
<DL>
<DD>Construct a model tree by training instances<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>inst</CODE> - training instances<DD><CODE>options</CODE> - information for constructing the model tree, 
 mostly from command line options<DT><B>Returns:</B><DD>the root of the model tree<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if the classifier can't be built</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;ins)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Classifies the given test instance.<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>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>
<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.

 Valid options are: <p>

 -O <l|r|m> <br>
 Type of model to be used. (l: linear regression, 
 r: regression tree, m: model tree) (default: m) <p>

 -U <br>
 Use unsmoothed tree. <p>

 -F factor <br>
 Set pruning factor (default: 2). <p>

 -V <0|1|2> <br>
 Verbosity (default: 0). <p><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.<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="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public final java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Converts the output of the training process into a string<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>the converted string</DL>
</DD>
</DL>
<HR>

<A NAME="measureNumLinearModels()"><!-- --></A><H3>
measureNumLinearModels</H3>
<PRE>
public double <B>measureNumLinearModels</B>()</PRE>
<DL>
<DD>return the number of linear models<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of linear models</DL>
</DD>
</DL>
<HR>

<A NAME="measureNumLeaves()"><!-- --></A><H3>
measureNumLeaves</H3>
<PRE>
public double <B>measureNumLeaves</B>()</PRE>
<DL>
<DD>return the number of leaves in the tree<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number leaves in the tree (same as # linear models &
 # rules)</DL>
</DD>
</DL>
<HR>

<A NAME="measureNumRules()"><!-- --></A><H3>
measureNumRules</H3>
<PRE>
public double <B>measureNumRules</B>()</PRE>
<DL>
<DD>return the number of rules<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of rules (same as # linear models &
 # leaves in the tree)</DL>
</DD>
</DL>
<HR>

<A NAME="enumerateMeasures()"><!-- --></A><H3>
enumerateMeasures</H3>
<PRE>
public java.util.Enumeration <B>enumerateMeasures</B>()</PRE>
<DL>
<DD>Returns an enumeration of the additional measure names<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/AdditionalMeasureProducer.html#enumerateMeasures()">enumerateMeasures</A></CODE> in interface <CODE><A HREF="../../../weka/core/AdditionalMeasureProducer.html">AdditionalMeasureProducer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>an enumeration of the measure names</DL>
</DD>
</DL>
<HR>

<A NAME="getMeasure(java.lang.String)"><!-- --></A><H3>
getMeasure</H3>
<PRE>
public double <B>getMeasure</B>(java.lang.String&nbsp;additionalMeasureName)</PRE>
<DL>
<DD>Returns the value of the named measure<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/AdditionalMeasureProducer.html#getMeasure(java.lang.String)">getMeasure</A></CODE> in interface <CODE><A HREF="../../../weka/core/AdditionalMeasureProducer.html">AdditionalMeasureProducer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>measureName</CODE> - the name of the measure to query for its value<DT><B>Returns:</B><DD>the value of the named measure<DT><B>Throws:</B><DD><CODE>java.lang.IllegalArgumentException</CODE> - if the named measure is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="getUseUnsmoothed()"><!-- --></A><H3>
getUseUnsmoothed</H3>
<PRE>
public boolean <B>getUseUnsmoothed</B>()</PRE>
<DL>
<DD>Get the value of UseUnsmoothed.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>Value of UseUnsmoothed.</DL>
</DD>
</DL>
<HR>

<A NAME="setUseUnsmoothed(boolean)"><!-- --></A><H3>
setUseUnsmoothed</H3>
<PRE>
public void <B>setUseUnsmoothed</B>(boolean&nbsp;v)</PRE>
<DL>
<DD>Set the value of UseUnsmoothed.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Value to assign to UseUnsmoothed.</DL>
</DD>
</DL>
<HR>

<A NAME="getPruningFactor()"><!-- --></A><H3>
getPruningFactor</H3>
<PRE>
public double <B>getPruningFactor</B>()</PRE>
<DL>
<DD>Get the value of PruningFactor.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>Value of PruningFactor.</DL>
</DD>
</DL>
<HR>

<A NAME="setPruningFactor(double)"><!-- --></A><H3>
setPruningFactor</H3>
<PRE>
public void <B>setPruningFactor</B>(double&nbsp;v)</PRE>
<DL>
<DD>Set the value of PruningFactor.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Value to assign to PruningFactor.</DL>
</DD>
</DL>
<HR>

<A NAME="getModelType()"><!-- --></A><H3>
getModelType</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A> <B>getModelType</B>()</PRE>
<DL>
<DD>Get the value of Model.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>Value of Model.</DL>
</DD>
</DL>
<HR>

<A NAME="setModelType(weka.core.SelectedTag)"><!-- --></A><H3>
setModelType</H3>
<PRE>
public void <B>setModelType</B>(<A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Set the value of Model.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Value to assign to Model.</DL>
</DD>
</DL>
<HR>

<A NAME="getVerbosity()"><!-- --></A><H3>
getVerbosity</H3>
<PRE>
public int <B>getVerbosity</B>()</PRE>
<DL>
<DD>Get the value of Verbosity.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>Value of Verbosity.</DL>
</DD>
</DL>
<HR>

<A NAME="setVerbosity(int)"><!-- --></A><H3>
setVerbosity</H3>
<PRE>
public void <B>setVerbosity</B>(int&nbsp;v)</PRE>
<DL>
<DD>Set the value of Verbosity.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - Value to assign to Verbosity.</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 M5' algorithm<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - command line arguments</DL>
</DD>
</DL>
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