serialized-form.html

由java开发的软件包

<HR>

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

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

<H3>
m_numInstances</H3>
<PRE>
int <B>m_numInstances</B></PRE>
<DL>
<DD>number of instances in the training data
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_disTransform</H3>
<PRE>
<A HREF="weka/filters/supervised/attribute/Discretize.html" title="class in weka.filters.supervised.attribute">Discretize</A> <B>m_disTransform</B></PRE>
<DL>
<DD>Discretise numeric attributes
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_table</H3>
<PRE>
java.util.Hashtable <B>m_table</B></PRE>
<DL>
<DD>Hash table for evaluating feature subsets
<P>
<DL>
</DL>
</DL>

<P>
<A NAME="weka.attributeSelection.ConsistencySubsetEval.hashKey"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class <A HREF="weka/attributeSelection/ConsistencySubsetEval.hashKey.html" title="class in weka.attributeSelection">weka.attributeSelection.ConsistencySubsetEval.hashKey</A> extends java.lang.Object implements Serializable</B></FONT></TD>
</TR>
</TABLE>

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

<H3>
attributes</H3>
<PRE>
double[] <B>attributes</B></PRE>
<DL>
<DD>Array of attribute values for an instance
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
missing</H3>
<PRE>
boolean[] <B>missing</B></PRE>
<DL>
<DD>True for an index if the corresponding attribute value is missing.
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
values</H3>
<PRE>
java.lang.String[] <B>values</B></PRE>
<DL>
<DD>The values
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
key</H3>
<PRE>
int <B>key</B></PRE>
<DL>
<DD>The key
<P>
<DL>
</DL>
</DL>

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

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

<H3>
m_starting</H3>
<PRE>
int[] <B>m_starting</B></PRE>
<DL>
<DD>holds a starting set as an array of attributes.
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_startRange</H3>
<PRE>
<A HREF="weka/core/Range.html" title="class in weka.core">Range</A> <B>m_startRange</B></PRE>
<DL>
<DD>the start set as a Range
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_bestGroup</H3>
<PRE>
java.util.BitSet <B>m_bestGroup</B></PRE>
<DL>
<DD>the best feature set found during the search
<P>
<DL>
</DL>
</DL>
<HR>

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

<H3>
m_hasClass</H3>
<PRE>
boolean <B>m_hasClass</B></PRE>
<DL>
<DD>does the data have a class
<P>
<DL>
</DL>
</DL>
<HR>

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

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

<H3>
m_verbose</H3>
<PRE>
boolean <B>m_verbose</B></PRE>
<DL>
<DD>if true, then ouput new best subsets as the search progresses
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_stopAfterFirst</H3>
<PRE>
boolean <B>m_stopAfterFirst</B></PRE>
<DL>
<DD>stop after finding the first subset equal to or better than the
 supplied start set (set to true if start set is supplied).
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_evaluations</H3>
<PRE>
int <B>m_evaluations</B></PRE>
<DL>
<DD>the number of subsets evaluated during the search
<P>
<DL>
</DL>
</DL>

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

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<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" title="class in weka.core">Instances</A> <B>m_trainInstances</B></PRE>
<DL>
<DD>The training instances
<P>
<DL>
</DL>
</DL>
<HR>

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

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

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

<H3>
m_numClasses</H3>
<PRE>
int <B>m_numClasses</B></PRE>
<DL>
<DD>The number of classes
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_missing_merge</H3>
<PRE>
boolean <B>m_missing_merge</B></PRE>
<DL>
<DD>Merge missing values
<P>
<DL>
</DL>
</DL>

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

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

<H3>
m_starting</H3>
<PRE>
int[] <B>m_starting</B></PRE>
<DL>
<DD>holds a starting set as an array of attributes. Becomes one member of the
 initial random population
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_startRange</H3>
<PRE>
<A HREF="weka/core/Range.html" title="class in weka.core">Range</A> <B>m_startRange</B></PRE>
<DL>
<DD>holds the start set for the search as a Range
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_hasClass</H3>
<PRE>
boolean <B>m_hasClass</B></PRE>
<DL>
<DD>does the data have a class
<P>
<DL>
</DL>
</DL>
<HR>

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

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

<H3>
m_population</H3>
<PRE>
weka.attributeSelection.GeneticSearch.GABitSet[] <B>m_population</B></PRE>
<DL>
<DD>the current population
<P>
<DL>
</DL>
</DL>
<HR>

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

<H3>
m_best</H3>
<PRE>
weka.attributeSelection.GeneticSearch.GABitSet <B>m_best</B></PRE>
<DL>
<DD>the best population member found during the search
<P>
<DL>
</DL>
</DL>
<HR>

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

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

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

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

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

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

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

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

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

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

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

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

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

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

<P>
<A NAME="weka.attributeSelection.GeneticSearch.GABitSet"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">
<TD COLSPAN=2><FONT SIZE="+2">
<B>Class weka.attributeSelection.GeneticSearch.GABitSet extends java.lang.Object implements Serializable</B></FONT></TD>
</TR>
</TABLE>

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

<H3>
m_chromosome</H3>
<PRE>
java.util.BitSet <B>m_chromosome</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>

<H3>
m_objective</H3>
<PRE>
double <B>m_objective</B></PRE>
<DL>
<DD>holds raw merit
<P>
<DL>
</DL>
</DL>
<HR>

<H3>
m_fitness</H3>
<PRE>
double <B>m_fitness</B></PRE>
<DL>
<DL>
</DL>
</DL>

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