serialized-form.html

这是一个由java实现的数据挖掘

<DL>
<DD>The class index</DL>
<HR>

<H3>
m_isNumeric</H3>
<PRE>
boolean <B>m_isNumeric</B></PRE>
<DL>
<DD>Is the class numeric</DL>
<HR>

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

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

<H3>
m_missingSeperate</H3>
<PRE>
boolean <B>m_missingSeperate</B></PRE>
<DL>
<DD>Treat missing values as seperate values</DL>
<HR>

<H3>
m_locallyPredictive</H3>
<PRE>
boolean <B>m_locallyPredictive</B></PRE>
<DL>
<DD>Include locally predicitive attributes</DL>
<HR>

<H3>
m_corr_matrix</H3>
<PRE>
<A HREF="weka/core/Matrix.html">Matrix</A> <B>m_corr_matrix</B></PRE>
<DL>
<DD>Holds the matrix of attribute correlations</DL>
<HR>

<H3>
m_std_devs</H3>
<PRE>
double[] <B>m_std_devs</B></PRE>
<DL>
<DD>Standard deviations of attributes (when using pearsons correlation)</DL>
<HR>

<H3>
m_c_Threshold</H3>
<PRE>
double <B>m_c_Threshold</B></PRE>
<DL>
<DD>Threshold for admitting locally predictive features</DL>

<P>
<A NAME="weka.attributeSelection.ChiSquaredAttributeEval"><!-- --></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/ChiSquaredAttributeEval.html">weka.attributeSelection.ChiSquaredAttributeEval</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_ChiSquareds</H3>
<PRE>
double[] <B>m_ChiSquareds</B></PRE>
<DL>
<DD>The chi-squared value for each attribute</DL>

<P>
<A NAME="weka.attributeSelection.ClassifierSubsetEval"><!-- --></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/ClassifierSubsetEval.html">weka.attributeSelection.ClassifierSubsetEval</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_trainingInstances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_trainingInstances</B></PRE>
<DL>
<DD>training instances</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 in the training data</DL>
<HR>

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

<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>holds the classifier to use for error estimates</DL>
<HR>

<H3>
m_Evaluation</H3>
<PRE>
<A HREF="weka/classifiers/Evaluation.html">Evaluation</A> <B>m_Evaluation</B></PRE>
<DL>
<DD>holds the evaluation object to use for evaluating the classifier</DL>
<HR>

<H3>
m_holdOutFile</H3>
<PRE>
java.io.File <B>m_holdOutFile</B></PRE>
<DL>
<DD>the file that containts hold out/test instances</DL>
<HR>

<H3>
m_holdOutInstances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_holdOutInstances</B></PRE>
<DL>
<DD>the instances to test on</DL>
<HR>

<H3>
m_useTraining</H3>
<PRE>
boolean <B>m_useTraining</B></PRE>
<DL>
<DD>evaluate on training data rather than seperate hold out/test set</DL>

<P>
<A NAME="weka.attributeSelection.ConsistencySubsetEval"><!-- --></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/ConsistencySubsetEval.html">weka.attributeSelection.ConsistencySubsetEval</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>training instances</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 in the training data</DL>
<HR>

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

<H3>
m_disTransform</H3>
<PRE>
<A HREF="weka/filters/DiscretizeFilter.html">DiscretizeFilter</A> <B>m_disTransform</B></PRE>
<DL>
<DD>Discretise numeric attributes</DL>
<HR>

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

<P>
<A NAME="weka.attributeSelection.ExhaustiveSearch"><!-- --></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/ExhaustiveSearch.html">weka.attributeSelection.ExhaustiveSearch</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_starting</H3>
<PRE>
int[] <B>m_starting</B></PRE>
<DL>
<DD>holds a starting set as an array of attributes.</DL>
<HR>

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

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

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

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

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

<P>
<A NAME="weka.attributeSelection.ForwardSelection"><!-- --></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/ForwardSelection.html">weka.attributeSelection.ForwardSelection</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_hasClass</H3>
<PRE>
boolean <B>m_hasClass</B></PRE>
<DL>
<DD>does the data have a class</DL>
<HR>

<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_rankingRequested</H3>
<PRE>
boolean <B>m_rankingRequested</B></PRE>
<DL>
<DD>true if the user has requested a ranked list of attributes</DL>
<HR>

<H3>
m_doRank</H3>
<PRE>
boolean <B>m_doRank</B></PRE>
<DL>
<DD>go from one side of the search space to the other in order to generate
 a ranking</DL>
<HR>

<H3>
m_doneRanking</H3>
<PRE>
boolean <B>m_doneRanking</B></PRE>
<DL>
<DD>used to indicate whether or not ranking has been performed</DL>
<HR>

<H3>
m_threshold</H3>
<PRE>
double <B>m_threshold</B></PRE>
<DL>
<DD>A threshold by which to discard attributes---used by the
 AttributeSelection module</DL>
<HR>

<H3>
m_numToSelect</H3>
<PRE>
int <B>m_numToSelect</B></PRE>
<DL>
<DD>The number of attributes to select. -1 indicates that all attributes
are to be retained. Has precedence over m_threshold</DL>
<HR>

<H3>
m_calculatedNumToSelect</H3>
<PRE>
int <B>m_calculatedNumToSelect</B></PRE>
<DL>
</DL>
<HR>

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

<H3>
m_rankedAtts</H3>
<PRE>
double[][] <B>m_rankedAtts</B></PRE>
<DL>
<DD>a ranked list of attribute indexes</DL>
<HR>

<H3>
m_rankedSoFar</H3>
<PRE>
int <B>m_rankedSoFar</B></PRE>
<DL>
</DL>
<HR>

<H3>
m_best_group</H3>
<PRE>
java.util.BitSet <B>m_best_group</B></PRE>
<DL>
<DD>the best subset found</DL>
<HR>

<H3>
m_ASEval</H3>
<PRE>
<A HREF="weka/attributeSelection/ASEvaluation.html">ASEvaluation</A> <B>m_ASEval</B></PRE>
<DL>
</DL>
<HR>

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

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

<H3>
m_starting</H3>
<PRE>
int[] <B>m_starting</B></PRE>
<DL>
<DD>holds an array of starting attributes</DL>

<P>
<A NAME="weka.attributeSelection.GainRatioAttributeEval"><!-- --></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/GainRatioAttributeEval.html">weka.attributeSelection.GainRatioAttributeEval</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>
<HR>

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

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

<P>
<A NAME="weka.attributeSelection.GeneticSearch"><!-- --></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/GeneticSearch.html">weka.attributeSelection.GeneticSearch</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_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</DL>
<HR>

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

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