bvdecompose.html

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 -x num <br>
 Set the number of train iterations (default 50). <p>

 -s num <br>
 Set the seed for the dataset randomisation (default 1). <p>

 Options after -- are passed to the designated sub-learner. <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>
<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 CheckClassifier.
<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>
</DL>
<HR>

<A NAME="getTrainPoolSize()"><!-- --></A><H3>
getTrainPoolSize</H3>
<PRE>
public int <B>getTrainPoolSize</B>()</PRE>
<DL>
<DD>Get the number of instances in the training pool.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>number of instances in the training pool.</DL>
</DD>
</DL>
<HR>

<A NAME="setTrainPoolSize(int)"><!-- --></A><H3>
setTrainPoolSize</H3>
<PRE>
public void <B>setTrainPoolSize</B>(int&nbsp;numTrain)</PRE>
<DL>
<DD>Set the number of instances in the training pool.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numTrain</CODE> - number of instances in the training pool.</DL>
</DD>
</DL>
<HR>

<A NAME="setClassifier(weka.classifiers.Classifier)"><!-- --></A><H3>
setClassifier</H3>
<PRE>
public void <B>setClassifier</B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Set the classifiers being analysed
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the Classifier to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getClassifier()"><!-- --></A><H3>
getClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A> <B>getClassifier</B>()</PRE>
<DL>
<DD>Gets the name of the classifier being analysed
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the classifier being analysed.</DL>
</DD>
</DL>
<HR>

<A NAME="setDebug(boolean)"><!-- --></A><H3>
setDebug</H3>
<PRE>
public void <B>setDebug</B>(boolean&nbsp;debug)</PRE>
<DL>
<DD>Sets debugging mode
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>debug</CODE> - true if debug output should be printed</DL>
</DD>
</DL>
<HR>

<A NAME="getDebug()"><!-- --></A><H3>
getDebug</H3>
<PRE>
public boolean <B>getDebug</B>()</PRE>
<DL>
<DD>Gets whether debugging is turned on
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if debugging output is on</DL>
</DD>
</DL>
<HR>

<A NAME="setSeed(int)"><!-- --></A><H3>
setSeed</H3>
<PRE>
public void <B>setSeed</B>(int&nbsp;seed)</PRE>
<DL>
<DD>Sets the random number seed
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getSeed()"><!-- --></A><H3>
getSeed</H3>
<PRE>
public int <B>getSeed</B>()</PRE>
<DL>
<DD>Gets the random number seed
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the random number seed</DL>
</DD>
</DL>
<HR>

<A NAME="setTrainIterations(int)"><!-- --></A><H3>
setTrainIterations</H3>
<PRE>
public void <B>setTrainIterations</B>(int&nbsp;trainIterations)</PRE>
<DL>
<DD>Sets the maximum number of boost iterations
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getTrainIterations()"><!-- --></A><H3>
getTrainIterations</H3>
<PRE>
public int <B>getTrainIterations</B>()</PRE>
<DL>
<DD>Gets the maximum number of boost iterations
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the maximum number of boost iterations</DL>
</DD>
</DL>
<HR>

<A NAME="setDataFileName(java.lang.String)"><!-- --></A><H3>
setDataFileName</H3>
<PRE>
public void <B>setDataFileName</B>(java.lang.String&nbsp;dataFileName)</PRE>
<DL>
<DD>Sets the maximum number of boost iterations
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getDataFileName()"><!-- --></A><H3>
getDataFileName</H3>
<PRE>
public java.lang.String <B>getDataFileName</B>()</PRE>
<DL>
<DD>Get the name of the data file used for the decomposition
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the name of the data file</DL>
</DD>
</DL>
<HR>

<A NAME="getClassIndex()"><!-- --></A><H3>
getClassIndex</H3>
<PRE>
public int <B>getClassIndex</B>()</PRE>
<DL>
<DD>Get the index (starting from 1) of the attribute used as the class.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the index of the class attribute</DL>
</DD>
</DL>
<HR>

<A NAME="setClassIndex(int)"><!-- --></A><H3>
setClassIndex</H3>
<PRE>
public void <B>setClassIndex</B>(int&nbsp;classIndex)</PRE>
<DL>
<DD>Sets index of attribute to discretize on
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="getBias()"><!-- --></A><H3>
getBias</H3>
<PRE>
public double <B>getBias</B>()</PRE>
<DL>
<DD>Get the calculated bias squared
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the bias squared</DL>
</DD>
</DL>
<HR>

<A NAME="getVariance()"><!-- --></A><H3>
getVariance</H3>
<PRE>
public double <B>getVariance</B>()</PRE>
<DL>
<DD>Get the calculated variance
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the variance</DL>
</DD>
</DL>
<HR>

<A NAME="getSigma()"><!-- --></A><H3>
getSigma</H3>
<PRE>
public double <B>getSigma</B>()</PRE>
<DL>
<DD>Get the calculated sigma squared
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the sigma squared</DL>
</DD>
</DL>
<HR>

<A NAME="getError()"><!-- --></A><H3>
getError</H3>
<PRE>
public double <B>getError</B>()</PRE>
<DL>
<DD>Get the calculated error rate
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the error rate</DL>
</DD>
</DL>
<HR>

<A NAME="decompose()"><!-- --></A><H3>
decompose</H3>
<PRE>
public void <B>decompose</B>()
               throws java.lang.Exception</PRE>
<DL>
<DD>Carry out the bias-variance decomposition
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the decomposition couldn't be carried out</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns description of the bias-variance decomposition results.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the bias-variance decomposition results as a string</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;args)</PRE>
<DL>
<DD>Test method for this class
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - the command line arguments</DL>
</DD>
</DL>
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