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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

public java.lang.String <B>seedTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html#seedTipText()">seedTipText</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html" title="class in weka.classifiers">RandomizableMultipleClassifiersCombiner</A></CODE></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="setSeed(int)"><!-- --></A><H3>
setSeed</H3>
<PRE>
public void <B>setSeed</B>(int&nbsp;seed)</PRE>
<DL>
<DD>Sets the seed for random number generation.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/Randomizable.html#setSeed(int)">setSeed</A></CODE> in interface <CODE><A HREF="../../../weka/core/Randomizable.html" title="interface in weka.core">Randomizable</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html#setSeed(int)">setSeed</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html" title="class in weka.classifiers">RandomizableMultipleClassifiersCombiner</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>seed</CODE> - the random number seed</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>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/Randomizable.html#getSeed()">getSeed</A></CODE> in interface <CODE><A HREF="../../../weka/core/Randomizable.html" title="interface in weka.core">Randomizable</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html#getSeed()">getSeed</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableMultipleClassifiersCombiner.html" title="class in weka.classifiers">RandomizableMultipleClassifiersCombiner</A></CODE></DL>
</DD>
<DD><DL>

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

<A NAME="numFoldsTipText()"><!-- --></A><H3>
numFoldsTipText</H3>
<PRE>
public java.lang.String <B>numFoldsTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<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="getNumFolds()"><!-- --></A><H3>
getNumFolds</H3>
<PRE>
public int <B>getNumFolds</B>()</PRE>
<DL>
<DD>Gets the number of folds for cross-validation. A number less
 than 2 specifies using training error rather than cross-validation.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the number of folds for cross-validation</DL>
</DD>
</DL>
<HR>

<A NAME="setNumFolds(int)"><!-- --></A><H3>
setNumFolds</H3>
<PRE>
public void <B>setNumFolds</B>(int&nbsp;numFolds)</PRE>
<DL>
<DD>Sets the number of folds for cross-validation. A number less
 than 2 specifies using training error rather than cross-validation.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>numFolds</CODE> - the number of folds for cross-validation</DL>
</DD>
</DL>
<HR>

<A NAME="debugTipText()"><!-- --></A><H3>
debugTipText</H3>
<PRE>
public java.lang.String <B>debugTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#debugTipText()">debugTipText</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></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="setDebug(boolean)"><!-- --></A><H3>
setDebug</H3>
<PRE>
public void <B>setDebug</B>(boolean&nbsp;debug)</PRE>
<DL>
<DD>Set debugging mode
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></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>Get whether debugging is turned on
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getDebug()">getDebug</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>

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

<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Buildclassifier selects a classifier from the set of classifiers
 by minimising error on the training data.
<P>
<DD><DL>
<DT><B>Specified by:</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" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - the training data to be used for generating the
 boosted classifier.
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the classifier could not be built successfully</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Returns class probabilities.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">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 distribution for the instance
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if instance could not be classified
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Output a representation of this classifier
<P>
<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 string representation of the classifier</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 testing this class.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - should contain the following arguments:
 -t training file [-T test file] [-c class index]</DL>
</DD>
</DL>
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