serialized-form.html

这是一个由java实现的数据挖掘

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>holds the class index</DL>
<HR>

<H3>
m_numAttribs</H3>
<PRE>
int <B>m_numAttribs</B></PRE>
<DL>
<DD>number of attributes in the data</DL>
<HR>

<H3>
m_population</H3>
<PRE>
<A HREF="weka/attributeSelection/GeneticSearch.GABitSet.html">GeneticSearch.GABitSet</A>[] <B>m_population</B></PRE>
<DL>
<DD>the current population</DL>
<HR>

<H3>
m_popSize</H3>
<PRE>
int <B>m_popSize</B></PRE>
<DL>
<DD>the number of individual solutions</DL>
<HR>

<H3>
m_best</H3>
<PRE>
<A HREF="weka/attributeSelection/GeneticSearch.GABitSet.html">GeneticSearch.GABitSet</A> <B>m_best</B></PRE>
<DL>
<DD>the best population member found during the search</DL>
<HR>

<H3>
m_bestFeatureCount</H3>
<PRE>
int <B>m_bestFeatureCount</B></PRE>
<DL>
<DD>the number of features in the best population member</DL>
<HR>

<H3>
m_lookupTableSize</H3>
<PRE>
int <B>m_lookupTableSize</B></PRE>
<DL>
<DD>the number of entries to cache for lookup</DL>
<HR>

<H3>
m_lookupTable</H3>
<PRE>
java.util.Hashtable <B>m_lookupTable</B></PRE>
<DL>
<DD>the lookup table</DL>
<HR>

<H3>
m_random</H3>
<PRE>
java.util.Random <B>m_random</B></PRE>
<DL>
<DD>random number generation</DL>
<HR>

<H3>
m_seed</H3>
<PRE>
int <B>m_seed</B></PRE>
<DL>
<DD>seed for random number generation</DL>
<HR>

<H3>
m_pCrossover</H3>
<PRE>
double <B>m_pCrossover</B></PRE>
<DL>
<DD>the probability of crossover occuring</DL>
<HR>

<H3>
m_pMutation</H3>
<PRE>
double <B>m_pMutation</B></PRE>
<DL>
<DD>the probability of mutation occuring</DL>
<HR>

<H3>
m_sumFitness</H3>
<PRE>
double <B>m_sumFitness</B></PRE>
<DL>
<DD>sum of the current population fitness</DL>
<HR>

<H3>
m_maxFitness</H3>
<PRE>
double <B>m_maxFitness</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_minFitness</H3>
<PRE>
double <B>m_minFitness</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_avgFitness</H3>
<PRE>
double <B>m_avgFitness</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_maxGenerations</H3>
<PRE>
int <B>m_maxGenerations</B></PRE>
<DL>
<DD>the maximum number of generations to evaluate</DL>
<HR>

<H3>
m_reportFrequency</H3>
<PRE>
int <B>m_reportFrequency</B></PRE>
<DL>
<DD>how often reports are generated</DL>
<HR>

<H3>
m_generationReports</H3>
<PRE>
java.lang.StringBuffer <B>m_generationReports</B></PRE>
<DL>
<DD>holds the generation reports</DL>

<P>
<A NAME="weka.attributeSelection.HoldOutSubsetEvaluator"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/HoldOutSubsetEvaluator.html">weka.attributeSelection.HoldOutSubsetEvaluator</A> implements Serializable</B></FONT></TD>
</TR>
</TABLE>

<P>

<P>
<A NAME="weka.attributeSelection.InfoGainAttributeEval"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/InfoGainAttributeEval.html">weka.attributeSelection.InfoGainAttributeEval</A> implements Serializable</B></FONT></TD>
</TR>
</TABLE>

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
</TR>
</TABLE>

<H3>
m_missing_merge</H3>
<PRE>
boolean <B>m_missing_merge</B></PRE>
<DL>
<DD>Treat missing values as a seperate value</DL>
<HR>

<H3>
m_Binarize</H3>
<PRE>
boolean <B>m_Binarize</B></PRE>
<DL>
<DD>Just binarize numeric attributes</DL>
<HR>

<H3>
m_InfoGains</H3>
<PRE>
double[] <B>m_InfoGains</B></PRE>
<DL>
<DD>The info gain for each attribute</DL>

<P>
<A NAME="weka.attributeSelection.OneRAttributeEval"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/OneRAttributeEval.html">weka.attributeSelection.OneRAttributeEval</A> implements Serializable</B></FONT></TD>
</TR>
</TABLE>

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
</TR>
</TABLE>

<H3>
m_trainInstances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_trainInstances</B></PRE>
<DL>
<DD>The training instances</DL>
<HR>

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>The class index</DL>
<HR>

<H3>
m_numAttribs</H3>
<PRE>
int <B>m_numAttribs</B></PRE>
<DL>
<DD>The number of attributes</DL>
<HR>

<H3>
m_numInstances</H3>
<PRE>
int <B>m_numInstances</B></PRE>
<DL>
<DD>The number of instances</DL>

<P>
<A NAME="weka.attributeSelection.PrincipalComponents"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/PrincipalComponents.html">weka.attributeSelection.PrincipalComponents</A> implements Serializable</B></FONT></TD>
</TR>
</TABLE>

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
</TR>
</TABLE>

<H3>
m_trainInstances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_trainInstances</B></PRE>
<DL>
<DD>The data to transform analyse/transform</DL>
<HR>

<H3>
m_trainCopy</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_trainCopy</B></PRE>
<DL>
<DD>Keep a copy for the class attribute (if set)</DL>
<HR>

<H3>
m_transformedFormat</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_transformedFormat</B></PRE>
<DL>
<DD>The header for the transformed data format</DL>
<HR>

<H3>
m_originalSpaceFormat</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_originalSpaceFormat</B></PRE>
<DL>
<DD>The header for data transformed back to the original space</DL>
<HR>

<H3>
m_hasClass</H3>
<PRE>
boolean <B>m_hasClass</B></PRE>
<DL>
<DD>Data has a class set</DL>
<HR>

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>Class index</DL>
<HR>

<H3>
m_numAttribs</H3>
<PRE>
int <B>m_numAttribs</B></PRE>
<DL>
<DD>Number of attributes</DL>
<HR>

<H3>
m_numInstances</H3>
<PRE>
int <B>m_numInstances</B></PRE>
<DL>
<DD>Number of instances</DL>
<HR>

<H3>
m_correlation</H3>
<PRE>
double[][] <B>m_correlation</B></PRE>
<DL>
<DD>Correlation matrix for the original data</DL>
<HR>

<H3>
m_eigenvectors</H3>
<PRE>
double[][] <B>m_eigenvectors</B></PRE>
<DL>
<DD>Will hold the unordered linear transformations of the (normalized)
original data</DL>
<HR>

<H3>
m_eigenvalues</H3>
<PRE>
double[] <B>m_eigenvalues</B></PRE>
<DL>
<DD>Eigenvalues for the corresponding eigenvectors</DL>
<HR>

<H3>
m_sortedEigens</H3>
<PRE>
int[] <B>m_sortedEigens</B></PRE>
<DL>
<DD>Sorted eigenvalues</DL>
<HR>

<H3>
m_sumOfEigenValues</H3>
<PRE>
double <B>m_sumOfEigenValues</B></PRE>
<DL>
<DD>sum of the eigenvalues</DL>
<HR>

<H3>
m_replaceMissingFilter</H3>
<PRE>
<A HREF="weka/filters/ReplaceMissingValuesFilter.html">ReplaceMissingValuesFilter</A> <B>m_replaceMissingFilter</B></PRE>
<DL>
<DD>Filters for original data</DL>
<HR>

<H3>
m_normalizeFilter</H3>
<PRE>
<A HREF="weka/filters/NormalizationFilter.html">NormalizationFilter</A> <B>m_normalizeFilter</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_nominalToBinFilter</H3>
<PRE>
<A HREF="weka/filters/NominalToBinaryFilter.html">NominalToBinaryFilter</A> <B>m_nominalToBinFilter</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_attributeFilter</H3>
<PRE>
<A HREF="weka/filters/AttributeFilter.html">AttributeFilter</A> <B>m_attributeFilter</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_attribFilter</H3>
<PRE>
<A HREF="weka/filters/AttributeFilter.html">AttributeFilter</A> <B>m_attribFilter</B></PRE>
<DL>
<DD>used to remove the class column if a class column is set</DL>
<HR>

<H3>
m_outputNumAtts</H3>
<PRE>
int <B>m_outputNumAtts</B></PRE>
<DL>
<DD>The number of attributes in the pc transformed data</DL>
<HR>

<H3>
m_normalize</H3>
<PRE>
boolean <B>m_normalize</B></PRE>
<DL>
<DD>normalize the input data?</DL>
<HR>

<H3>
m_coverVariance</H3>
<PRE>
double <B>m_coverVariance</B></PRE>
<DL>
<DD>the amount of varaince to cover in the original data when
retaining the best n PC's</DL>
<HR>

<H3>
m_transBackToOriginal</H3>
<PRE>
boolean <B>m_transBackToOriginal</B></PRE>
<DL>
<DD>transform the data through the pc space and back to the original
space ?</DL>
<HR>

<H3>
m_eTranspose</H3>
<PRE>
double[][] <B>m_eTranspose</B></PRE>
<DL>
<DD>holds the transposed eigenvectors for converting back to the
original space</DL>

<P>
<A NAME="weka.attributeSelection.RaceSearch"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/RaceSearch.html">weka.attributeSelection.RaceSearch</A> implements Serializable</B></FONT></TD>
</TR>
</TABLE>

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
</TR>
</TABLE>

<H3>
m_Instances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_Instances</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_raceType</H3>
<PRE>
int <B>m_raceType</B></PRE>
<DL>
<DD>the selected search type</DL>
<HR>

<H3>
m_xvalType</H3>
<PRE>
int <B>m_xvalType</B></PRE>
<DL>
<DD>the selected xval type</DL>
<HR>

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>the class index</DL>
<HR>

<H3>
m_numAttribs</H3>
<PRE>
int <B>m_numAttribs</B></PRE>
<DL>
<DD>the number of attributes in the data</DL>
<HR>

<H3>
m_totalEvals</H3>
<PRE>
int <B>m_totalEvals</B></PRE>
<DL>
<DD>the total number of partially/fully evaluated subsets</DL>
<HR>

<H3>
m_bestMerit</H3>
<PRE>
double <B>m_bestMerit</B></PRE>
<DL>
<DD>holds the merit of the best subset found</DL>
<HR>

<H3>
m_theEvaluator</H3>
<PRE>
<A HREF="weka/attributeSelection/HoldOutSubsetEvaluator.html">HoldOutSubsetEvaluator</A> <B>m_theEvaluator</B></PRE>
<DL>
<DD>the subset evaluator to use</DL>
<HR>

<H3>
m_sigLevel</H3>
<PRE>
double <B>m_sigLevel</B></PRE>
<DL>
<DD>the significance level for comparisons</DL>
<HR>

<H3>
m_delta</H3>
<PRE>
double <B>m_delta</B></PRE>
<DL>
<DD>threshold for comparisons</DL>
<HR>

<H3>
m_samples</H3>
<PRE>
int <B>m_samples</B></PRE>
<DL>
<DD>the number of samples above which to begin testing for similarity
between competing subsets</DL>
<HR>

<H3>
m_numFolds</H3>
<PRE>
int <B>m_numFolds</B></PRE>
<DL>
<DD>number of cross validation folds---equal to the number of instances
for leave-one-out cv</DL>
<HR>

<H3>
m_ASEval</H3>
<PRE>
<A HREF="weka/attributeSelection/ASEvaluation.html">ASEvaluation</A> <B>m_ASEval</B></PRE>
<DL>
<DD>the attribute evaluator to generate the initial ranking when
doing a rank race</DL>
<HR>

<H3>
m_Ranking</H3>
<PRE>
int[] <B>m_Ranking</B></PRE>
<DL>
<DD>will hold the attribute ranking produced by the above attribute
evaluator if doing a rank search</DL>
<HR>

<H3>
m_debug</H3>
<PRE>
boolean <B>m_debug</B></PRE>
<DL>
<DD>verbose output for monitoring the search and debugging</DL>
<HR>

<H3>
m_rankingRequested</H3>
<PRE>
boolean <B>m_rankingRequested</B></PRE>
<DL>
<DD>If true then produce a ranked list of attributes by fully traversing
a forward hillclimb race</DL>
<HR>

<H3>
m_rankedAtts</H3>
<PRE>
double[][] <B>m_rankedAtts</B></PRE>
<DL>
<DD>The ranked list of attributes produced if m_rankingRequested is true</DL>
<HR>

<H3>
m_rankedSoFar</H3>
<PRE>
int <B>m_rankedSoFar</B></PRE>
<DL>
<DD>The number of attributes ranked so far (if ranking is requested)</DL>
<HR>