randomsplitresultproducer.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

<A NAME="setOutputFile(java.io.File)"><!-- --></A><H3>
setOutputFile</H3>
<PRE>
public void <B>setOutputFile</B>(java.io.File&nbsp;newOutputFile)</PRE>
<DL>
<DD>Set the value of OutputFile.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newOutputFile</CODE> - Value to assign to OutputFile.</DL>
</DD>
</DL>
<HR>

<A NAME="randomizeDataTipText()"><!-- --></A><H3>
randomizeDataTipText</H3>
<PRE>
public java.lang.String <B>randomizeDataTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getRandomizeData()"><!-- --></A><H3>
getRandomizeData</H3>
<PRE>
public boolean <B>getRandomizeData</B>()</PRE>
<DL>
<DD>Get if dataset is to be randomized<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if dataset is to be randomized</DL>
</DD>
</DL>
<HR>

<A NAME="setRandomizeData(boolean)"><!-- --></A><H3>
setRandomizeData</H3>
<PRE>
public void <B>setRandomizeData</B>(boolean&nbsp;d)</PRE>
<DL>
<DD>Set to true if dataset is to be randomized<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>d</CODE> - true if dataset is to be randomized</DL>
</DD>
</DL>
<HR>

<A NAME="rawOutputTipText()"><!-- --></A><H3>
rawOutputTipText</H3>
<PRE>
public java.lang.String <B>rawOutputTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getRawOutput()"><!-- --></A><H3>
getRawOutput</H3>
<PRE>
public boolean <B>getRawOutput</B>()</PRE>
<DL>
<DD>Get if raw split evaluator output is to be saved<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>true if raw split evalutor output is to be saved</DL>
</DD>
</DL>
<HR>

<A NAME="setRawOutput(boolean)"><!-- --></A><H3>
setRawOutput</H3>
<PRE>
public void <B>setRawOutput</B>(boolean&nbsp;d)</PRE>
<DL>
<DD>Set to true if raw split evaluator output is to be saved<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>d</CODE> - true if output is to be saved</DL>
</DD>
</DL>
<HR>

<A NAME="trainPercentTipText()"><!-- --></A><H3>
trainPercentTipText</H3>
<PRE>
public java.lang.String <B>trainPercentTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

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

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

<A NAME="splitEvaluatorTipText()"><!-- --></A><H3>
splitEvaluatorTipText</H3>
<PRE>
public java.lang.String <B>splitEvaluatorTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getSplitEvaluator()"><!-- --></A><H3>
getSplitEvaluator</H3>
<PRE>
public <A HREF="../../weka/experiment/SplitEvaluator.html">SplitEvaluator</A> <B>getSplitEvaluator</B>()</PRE>
<DL>
<DD>Get the SplitEvaluator.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the SplitEvaluator.</DL>
</DD>
</DL>
<HR>

<A NAME="setSplitEvaluator(weka.experiment.SplitEvaluator)"><!-- --></A><H3>
setSplitEvaluator</H3>
<PRE>
public void <B>setSplitEvaluator</B>(<A HREF="../../weka/experiment/SplitEvaluator.html">SplitEvaluator</A>&nbsp;newSplitEvaluator)</PRE>
<DL>
<DD>Set the SplitEvaluator.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newSplitEvaluator</CODE> - new SplitEvaluator to use.</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.<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>

 -P num <br>
 The percent of instances used for training. <p>

 -D <br>
 Specify that raw split evaluator output is to be saved. <p>

 -R <br>
 Do not randomize the dataset. <p>

 -O file/directory name <br>
 Specify the file or directory to which raw split evaluator output
 is to be saved. If a directory is specified, then each output string
 is saved as an individual gzip file. If a file is specified, then
 each output string is saved as an entry in a zip file. <p>

 -W classname <br>
 Specify the full class name of the split evaluator. <p>

 All option after -- will be passed to the split evaluator.<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 result producer.<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 java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Gets a text descrption of the result producer.<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 text description of the result producer.</DL>
</DD>
</DL>
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