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<H3>m_seed</H3><PRE>int <B>m_seed</B></PRE><DL><DD>seed used to randomly shuffle instances for cross validation<P><DL></DL></DL><HR><H3>m_threshold</H3><PRE>double <B>m_threshold</B></PRE><DL><DD>cutoff value by which to select attributes for ranked results<P><DL></DL></DL><HR><H3>m_numToSelect</H3><PRE>int <B>m_numToSelect</B></PRE><DL><DD>number of attributes requested from ranked results<P><DL></DL></DL><HR><H3>m_selectedAttributeSet</H3><PRE>int[] <B>m_selectedAttributeSet</B></PRE><DL><DD>the selected attributes<P><DL></DL></DL><HR><H3>m_attributeRanking</H3><PRE>double[][] <B>m_attributeRanking</B></PRE><DL><DD>the attribute indexes and associated merits if a ranking is produced<P><DL></DL></DL><HR><H3>m_transformer</H3><PRE><A HREF="weka/attributeSelection/AttributeTransformer.html" title="interface in weka.attributeSelection">AttributeTransformer</A> <B>m_transformer</B></PRE><DL><DD>if a feature selection run involves an attribute transformer<P><DL></DL></DL><HR><H3>m_attributeFilter</H3><PRE><A HREF="weka/filters/unsupervised/attribute/Remove.html" title="class in weka.filters.unsupervised.attribute">Remove</A> <B>m_attributeFilter</B></PRE><DL><DD>the attribute filter for processing instances with respect to the most recent feature selection run<P><DL></DL></DL><HR><H3>m_rankResults</H3><PRE>double[][] <B>m_rankResults</B></PRE><DL><DD>hold statistics for repeated feature selection, such as under cross validation<P><DL></DL></DL><HR><H3>m_subsetResults</H3><PRE>double[] <B>m_subsetResults</B></PRE><DL><DL></DL></DL><HR><H3>m_trials</H3><PRE>int <B>m_trials</B></PRE><DL><DL></DL></DL><P><A NAME="weka.attributeSelection.BestFirst"><!-- --></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/BestFirst.html" title="class in weka.attributeSelection">weka.attributeSelection.BestFirst</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_maxStale</H3><PRE>int <B>m_maxStale</B></PRE><DL><DD>maximum number of stale nodes before terminating search<P><DL></DL></DL><HR><H3>m_searchDirection</H3><PRE>int <B>m_searchDirection</B></PRE><DL><DD>0 == backward search, 1 == forward search, 2 == bidirectional<P><DL></DL></DL><HR><H3>m_starting</H3><PRE>int[] <B>m_starting</B></PRE><DL><DD>holds an array of starting 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>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_totalEvals</H3><PRE>int <B>m_totalEvals</B></PRE><DL><DD>total number of subsets evaluated during a search<P><DL></DL></DL><HR><H3>m_debug</H3><PRE>boolean <B>m_debug</B></PRE><DL><DD>for debugging<P><DL></DL></DL><HR><H3>m_bestMerit</H3><PRE>double <B>m_bestMerit</B></PRE><DL><DD>holds the merit of the best subset found<P><DL></DL></DL><HR><H3>m_cacheSize</H3><PRE>int <B>m_cacheSize</B></PRE><DL><DD>holds the maximum size of the lookup cache for evaluated subsets<P><DL></DL></DL><P><A NAME="weka.attributeSelection.BestFirst.Link2"><!-- --></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/BestFirst.Link2.html" title="class in weka.attributeSelection">weka.attributeSelection.BestFirst.Link2</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>m_data</H3><PRE>java.lang.Object[] <B>m_data</B></PRE><DL><DL></DL></DL><HR><H3>m_merit</H3><PRE>double <B>m_merit</B></PRE><DL><DL></DL></DL><P><A NAME="weka.attributeSelection.BestFirst.LinkedList2"><!-- --></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/BestFirst.LinkedList2.html" title="class in weka.attributeSelection">weka.attributeSelection.BestFirst.LinkedList2</A> extends <A HREF="weka/core/FastVector.html" title="class in weka.core">FastVector</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_MaxSize</H3><PRE>int <B>m_MaxSize</B></PRE><DL><DL></DL></DL><P><A NAME="weka.attributeSelection.CfsSubsetEval"><!-- --></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/CfsSubsetEval.html" title="class in weka.attributeSelection">weka.attributeSelection.CfsSubsetEval</A> extends <A HREF="weka/attributeSelection/SubsetEvaluator.html" title="class in weka.attributeSelection">SubsetEvaluator</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_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 attributes when class in nominal<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_isNumeric</H3><PRE>boolean <B>m_isNumeric</B></PRE><DL><DD>Is the class numeric<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_missingSeperate</H3><PRE>boolean <B>m_missingSeperate</B></PRE><DL><DD>Treat missing values as seperate values<P><DL></DL></DL><HR><H3>m_locallyPredictive</H3><PRE>boolean <B>m_locallyPredictive</B></PRE><DL><DD>Include locally predicitive attributes<P><DL></DL></DL><HR><H3>m_corr_matrix</H3><PRE>float[][] <B>m_corr_matrix</B></PRE><DL><DD>Holds the matrix of attribute correlations<P><DL></DL></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)<P><DL></DL></DL><HR><H3>m_c_Threshold</H3><PRE>double <B>m_c_Threshold</B></PRE><DL><DD>Threshold for admitting locally predictive features<P><DL></DL></DL><P><A NAME="weka.attributeSelection.ChiSquaredAttributeEval"><!-- --></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/ChiSquaredAttributeEval.html" title="class in weka.attributeSelection">weka.attributeSelection.ChiSquaredAttributeEval</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_missing_merge</H3><PRE>boolean <B>m_missing_merge</B></PRE><DL><DD>Treat missing values as a seperate value<P><DL></DL></DL><HR><H3>m_Binarize</H3><PRE>boolean <B>m_Binarize</B></PRE><DL><DD>Just binarize numeric attributes<P><DL></DL></DL><HR><H3>m_ChiSquareds</H3><PRE>double[] <B>m_ChiSquareds</B></PRE><DL><DD>The chi-squared value for each attribute<P><DL></DL></DL><P><A NAME="weka.attributeSelection.ClassifierSubsetEval"><!-- --></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/ClassifierSubsetEval.html" title="class in weka.attributeSelection">weka.attributeSelection.ClassifierSubsetEval</A> extends <A HREF="weka/attributeSelection/HoldOutSubsetEvaluator.html" title="class in weka.attributeSelection">HoldOutSubsetEvaluator</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_trainingInstances</H3><PRE><A HREF="weka/core/Instances.html" title="class in weka.core">Instances</A> <B>m_trainingInstances</B></PRE><DL><DD>training instances<P><DL></DL></DL><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 training instances<P><DL></DL></DL><HR><H3>m_Classifier</H3><PRE><A HREF="weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A> <B>m_Classifier</B></PRE><DL><DD>holds the classifier to use for error estimates<P><DL></DL></DL><HR><H3>m_Evaluation</H3><PRE><A HREF="weka/classifiers/Evaluation.html" title="class in weka.classifiers">Evaluation</A> <B>m_Evaluation</B></PRE><DL><DD>holds the evaluation object to use for evaluating the classifier<P><DL></DL></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<P><DL></DL></DL><HR><H3>m_holdOutInstances</H3><PRE><A HREF="weka/core/Instances.html" title="class in weka.core">Instances</A> <B>m_holdOutInstances</B></PRE><DL><DD>the instances to test on<P><DL></DL></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<P><DL></DL></DL><P><A NAME="weka.attributeSelection.ConsistencySubsetEval"><!-- --></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.html" title="class in weka.attributeSelection">weka.attributeSelection.ConsistencySubsetEval</A> extends <A HREF="weka/attributeSelection/SubsetEvaluator.html" title="class in weka.attributeSelection">SubsetEvaluator</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>training instances<P><DL></DL></DL>
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