thresholdselector.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

public java.lang.String <B>designatedClassTipText</B>()</PRE>
<DL>
<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="getDesignatedClass()"><!-- --></A><H3>
getDesignatedClass</H3>
<PRE>
public <A HREF="../../weka/core/SelectedTag.html">SelectedTag</A> <B>getDesignatedClass</B>()</PRE>
<DL>
<DD>Gets the method to determine which class value to optimize. Will
 be one of OPTIMIZE_0, OPTIMIZE_1, OPTIMIZE_LFREQ, OPTIMIZE_MFREQ,
 OPTIMIZE_POS_NAME.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the class selection mode.</DL>
</DD>
</DL>
<HR>

<A NAME="setDesignatedClass(weka.core.SelectedTag)"><!-- --></A><H3>
setDesignatedClass</H3>
<PRE>
public void <B>setDesignatedClass</B>(<A HREF="../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Sets the method to determine which class value to optimize. Will
 be one of OPTIMIZE_0, OPTIMIZE_1, OPTIMIZE_LFREQ, OPTIMIZE_MFREQ,
 OPTIMIZE_POS_NAME.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMethod</CODE> - the new class selection mode.</DL>
</DD>
</DL>
<HR>

<A NAME="evaluationModeTipText()"><!-- --></A><H3>
evaluationModeTipText</H3>
<PRE>
public java.lang.String <B>evaluationModeTipText</B>()</PRE>
<DL>
<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="setEvaluationMode(weka.core.SelectedTag)"><!-- --></A><H3>
setEvaluationMode</H3>
<PRE>
public void <B>setEvaluationMode</B>(<A HREF="../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Sets the evaluation mode used. Will be one of
 EVAL_TRAINING, EVAL_TUNED_SPLIT, or EVAL_CROSS_VALIDATION<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMethod</CODE> - the new evaluation mode.</DL>
</DD>
</DL>
<HR>

<A NAME="getEvaluationMode()"><!-- --></A><H3>
getEvaluationMode</H3>
<PRE>
public <A HREF="../../weka/core/SelectedTag.html">SelectedTag</A> <B>getEvaluationMode</B>()</PRE>
<DL>
<DD>Gets the evaluation mode used. Will be one of
 EVAL_TRAINING, EVAL_TUNED_SPLIT, or EVAL_CROSS_VALIDATION<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the evaluation mode.</DL>
</DD>
</DL>
<HR>

<A NAME="rangeCorrectionTipText()"><!-- --></A><H3>
rangeCorrectionTipText</H3>
<PRE>
public java.lang.String <B>rangeCorrectionTipText</B>()</PRE>
<DL>
<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="setRangeCorrection(weka.core.SelectedTag)"><!-- --></A><H3>
setRangeCorrection</H3>
<PRE>
public void <B>setRangeCorrection</B>(<A HREF="../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Sets the confidence range correction mode used. Will be one of
 RANGE_NONE, or RANGE_BOUNDS<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMethod</CODE> - the new correciton mode.</DL>
</DD>
</DL>
<HR>

<A NAME="getRangeCorrection()"><!-- --></A><H3>
getRangeCorrection</H3>
<PRE>
public <A HREF="../../weka/core/SelectedTag.html">SelectedTag</A> <B>getRangeCorrection</B>()</PRE>
<DL>
<DD>Gets the confidence range correction mode used. Will be one of
 RANGE_NONE, or RANGE_BOUNDS<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the confidence correction mode.</DL>
</DD>
</DL>
<HR>

<A NAME="seedTipText()"><!-- --></A><H3>
seedTipText</H3>
<PRE>
public java.lang.String <B>seedTipText</B>()</PRE>
<DL>
<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="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.<DD><DL>
</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.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the random number seed</DL>
</DD>
</DL>
<HR>

<A NAME="numXValFoldsTipText()"><!-- --></A><H3>
numXValFoldsTipText</H3>
<PRE>
public java.lang.String <B>numXValFoldsTipText</B>()</PRE>
<DL>
<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="getNumXValFolds()"><!-- --></A><H3>
getNumXValFolds</H3>
<PRE>
public int <B>getNumXValFolds</B>()</PRE>
<DL>
<DD>Get the number of folds used for cross-validation.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of folds used for cross-validation.</DL>
</DD>
</DL>
<HR>

<A NAME="setNumXValFolds(int)"><!-- --></A><H3>
setNumXValFolds</H3>
<PRE>
public void <B>setNumXValFolds</B>(int&nbsp;newNumFolds)</PRE>
<DL>
<DD>Set the number of folds used for cross-validation.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newNumFolds</CODE> - the number of folds used for cross-validation.</DL>
</DD>
</DL>
<HR>

<A NAME="distributionClassifierTipText()"><!-- --></A><H3>
distributionClassifierTipText</H3>
<PRE>
public java.lang.String <B>distributionClassifierTipText</B>()</PRE>
<DL>
<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="setDistributionClassifier(weka.classifiers.DistributionClassifier)"><!-- --></A><H3>
setDistributionClassifier</H3>
<PRE>
public void <B>setDistributionClassifier</B>(<A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A>&nbsp;newClassifier)</PRE>
<DL>
<DD>Set the DistributionClassifier for which threshold is set.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newClassifier</CODE> - the Classifier to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getDistributionClassifier()"><!-- --></A><H3>
getDistributionClassifier</H3>
<PRE>
public <A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A> <B>getDistributionClassifier</B>()</PRE>
<DL>
<DD>Get the DistributionClassifier used as the classifier.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the classifier used as the classifier</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 cross-validated classifier.<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>description of the cross-validated classifier 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;argv)</PRE>
<DL>
<DD>Main method for testing this class.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>argv</CODE> - the options</DL>
</DD>
</DL>
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