experiment.html

weka是机器学习和数据挖掘领域最有影响力的开源项目之一

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<A NAME="postProcess()"><!-- --></A><H3>
postProcess</H3>
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public void <B>postProcess</B>()
                 throws java.lang.Exception</PRE>
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<DD>Signals that the experiment is finished running, so that cleanup
 can be done.
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<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an error occurs</DL>
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<A NAME="getDatasets()"><!-- --></A><H3>
getDatasets</H3>
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public javax.swing.DefaultListModel <B>getDatasets</B>()</PRE>
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<DD>Gets the datasets in the experiment.
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<DT><B>Returns:</B><DD>the datasets in the experiment.</DL>
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<A NAME="setDatasets(javax.swing.DefaultListModel)"><!-- --></A><H3>
setDatasets</H3>
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public void <B>setDatasets</B>(javax.swing.DefaultListModel&nbsp;ds)</PRE>
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<DD>Set the datasets to use in the experiment
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<DT><B>Parameters:</B><DD><CODE>ds</CODE> - the list of datasets to use</DL>
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<A NAME="getResultListener()"><!-- --></A><H3>
getResultListener</H3>
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public <A HREF="../../weka/experiment/ResultListener.html" title="interface in weka.experiment">ResultListener</A> <B>getResultListener</B>()</PRE>
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<DD>Gets the result listener where results will be sent.
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<DT><B>Returns:</B><DD>the result listener where results will be sent.</DL>
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<A NAME="setResultListener(weka.experiment.ResultListener)"><!-- --></A><H3>
setResultListener</H3>
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public void <B>setResultListener</B>(<A HREF="../../weka/experiment/ResultListener.html" title="interface in weka.experiment">ResultListener</A>&nbsp;newResultListener)</PRE>
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<DD>Sets the result listener where results will be sent.
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<DT><B>Parameters:</B><DD><CODE>newResultListener</CODE> - the result listener where results will be sent.</DL>
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<A NAME="getResultProducer()"><!-- --></A><H3>
getResultProducer</H3>
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public <A HREF="../../weka/experiment/ResultProducer.html" title="interface in weka.experiment">ResultProducer</A> <B>getResultProducer</B>()</PRE>
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<DD>Get the result producer used for the current experiment.
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<DT><B>Returns:</B><DD>the result producer used for the current experiment.</DL>
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<A NAME="setResultProducer(weka.experiment.ResultProducer)"><!-- --></A><H3>
setResultProducer</H3>
<PRE>
public void <B>setResultProducer</B>(<A HREF="../../weka/experiment/ResultProducer.html" title="interface in weka.experiment">ResultProducer</A>&nbsp;newResultProducer)</PRE>
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<DD>Set the result producer used for the current experiment.
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<DT><B>Parameters:</B><DD><CODE>newResultProducer</CODE> - result producer to use for the current 
 experiment.</DL>
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<A NAME="getRunUpper()"><!-- --></A><H3>
getRunUpper</H3>
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public int <B>getRunUpper</B>()</PRE>
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<DD>Get the upper run number for the experiment.
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<DT><B>Returns:</B><DD>the upper run number for the experiment.</DL>
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<A NAME="setRunUpper(int)"><!-- --></A><H3>
setRunUpper</H3>
<PRE>
public void <B>setRunUpper</B>(int&nbsp;newRunUpper)</PRE>
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<DD>Set the upper run number for the experiment.
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</DL>
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<DT><B>Parameters:</B><DD><CODE>newRunUpper</CODE> - the upper run number for the experiment.</DL>
</DD>
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<A NAME="getRunLower()"><!-- --></A><H3>
getRunLower</H3>
<PRE>
public int <B>getRunLower</B>()</PRE>
<DL>
<DD>Get the lower run number for the experiment.
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<DT><B>Returns:</B><DD>the lower run number for the experiment.</DL>
</DD>
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<A NAME="setRunLower(int)"><!-- --></A><H3>
setRunLower</H3>
<PRE>
public void <B>setRunLower</B>(int&nbsp;newRunLower)</PRE>
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<DD>Set the lower run number for the experiment.
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</DL>
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<DT><B>Parameters:</B><DD><CODE>newRunLower</CODE> - the lower run number for the experiment.</DL>
</DD>
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<A NAME="getNotes()"><!-- --></A><H3>
getNotes</H3>
<PRE>
public java.lang.String <B>getNotes</B>()</PRE>
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<DD>Get the user notes.
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<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>User notes associated with the experiment.</DL>
</DD>
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<A NAME="setNotes(java.lang.String)"><!-- --></A><H3>
setNotes</H3>
<PRE>
public void <B>setNotes</B>(java.lang.String&nbsp;newNotes)</PRE>
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<DD>Set the user notes.
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<DD><DL>
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<DT><B>Parameters:</B><DD><CODE>newNotes</CODE> - New user notes.</DL>
</DD>
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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..
<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" title="interface in weka.core">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an enumeration of all the available options.</DL>
</DD>
</DL>
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<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. <p/>

   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -L &lt;num&gt;
  The lower run number to start the experiment from.
  (default 1)</pre>
 
 <pre> -U &lt;num&gt;
  The upper run number to end the experiment at (inclusive).
  (default 10)</pre>
 
 <pre> -T &lt;arff file&gt;
  The dataset to run the experiment on.
  (required, may be specified multiple times)</pre>
 
 <pre> -P &lt;class name&gt;
  The full class name of a ResultProducer (required).
  eg: weka.experiment.RandomSplitResultProducer</pre>
 
 <pre> -D &lt;class name&gt;
  The full class name of a ResultListener (required).
  eg: weka.experiment.CSVResultListener</pre>
 
 <pre> -N &lt;string&gt;
  A string containing any notes about the experiment.
  (default none)</pre>
 
 <pre> 
 Options specific to result producer weka.experiment.RandomSplitResultProducer:
 </pre>
 
 <pre> -P &lt;percent&gt;
  The percentage of instances to use for training.
  (default 66)</pre>
 
 <pre> -D
 Save raw split evaluator output.</pre>
 
 <pre> -O &lt;file/directory name/path&gt;
  The filename where raw output will be stored.
  If a directory name is specified then then individual
  outputs will be gzipped, otherwise all output will be
  zipped to the named file. Use in conjuction with -D. (default splitEvalutorOut.zip)</pre>
 
 <pre> -W &lt;class name&gt;
  The full class name of a SplitEvaluator.
  eg: weka.experiment.ClassifierSplitEvaluator</pre>
 
 <pre> -R
  Set when data is not to be randomized and the data sets' size.
  Is not to be determined via probabilistic rounding.</pre>
 
 <pre> 
 Options specific to split evaluator weka.experiment.ClassifierSplitEvaluator:
 </pre>
 
 <pre> -W &lt;class name&gt;
  The full class name of the classifier.
  eg: weka.classifiers.bayes.NaiveBayes</pre>
 
 <pre> -C &lt;index&gt;
  The index of the class for which IR statistics
  are to be output. (default 1)</pre>
 
 <pre> -I &lt;index&gt;
  The index of an attribute to output in the
  results. This attribute should identify an
  instance in order to know which instances are
  in the test set of a cross validation. if 0
  no output (default 0).</pre>
 
 <pre> -P
  Add target and prediction columns to the result
  for each fold.</pre>
 
 <pre> 
 Options specific to classifier weka.classifiers.rules.ZeroR:
 </pre>
 
 <pre> -D
  If set, classifier is run in debug mode and
  may output additional info to the console</pre>
 
   <!-- options-end -->

 All options after -- will be passed to the result producer. <p>
<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" title="interface in weka.core">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>
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<A NAME="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>Gets the current settings of the experiment iterator.
<P>
<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" title="interface in weka.core">OptionHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
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<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Gets a string representation of the experiment configuration.
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<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 value of type 'String'</DL>
</DD>
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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;args)</PRE>
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<DD>Configures/Runs the Experiment from the command line.
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<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - command line arguments to the Experiment.</DL>
</DD>
</DL>
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