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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN""http://www.w3.org/TR/REC-html40/frameset.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc on Wed Sep 04 10:31:47 CDT 2002 --><TITLE>: Package weka.attributeSelection</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"></HEAD><BODY BGCOLOR="white"><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_top"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3"> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Class</FONT> 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TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR><H2>Package weka.attributeSelection</H2><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Interface Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="AttributeTransformer.html"><I>AttributeTransformer</I></A></B></TD><TD>Abstract attribute transformer.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ErrorBasedMeritEvaluator.html"><I>ErrorBasedMeritEvaluator</I></A></B></TD><TD>Interface for evaluators that calculate the "merit" of attributes/subsets as the error of a learning scheme</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="RankedOutputSearch.html"><I>RankedOutputSearch</I></A></B></TD><TD>Interface for search methods capable of producing a ranked list of attributes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="StartSetHandler.html"><I>StartSetHandler</I></A></B></TD><TD>Interface for search methods capable of doing something sensible given a starting set of attributes.</TD></TR></TABLE> <P><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Class Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ASEvaluation.html">ASEvaluation</A></B></TD><TD>Abstract attribute selection evaluation class</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ASSearch.html">ASSearch</A></B></TD><TD>Abstract attribute selection search class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="AttributeEvaluator.html">AttributeEvaluator</A></B></TD><TD>Abstract attribute evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="AttributeSelection.html">AttributeSelection</A></B></TD><TD>Attribute selection class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="BestFirst.html">BestFirst</A></B></TD><TD>Class for performing a best first search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="CfsSubsetEval.html">CfsSubsetEval</A></B></TD><TD>CFS attribute subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ChiSquaredAttributeEval.html">ChiSquaredAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually by measuring the chi-squared statistic with respect to the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ClassifierSubsetEval.html">ClassifierSubsetEval</A></B></TD><TD>Classifier subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ConsistencySubsetEval.html">ConsistencySubsetEval</A></B></TD><TD>Consistency attribute subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ExhaustiveSearch.html">ExhaustiveSearch</A></B></TD><TD>Class for performing an exhaustive search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ForwardSelection.html">ForwardSelection</A></B></TD><TD>Class for performing a forward selection hill climbing search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="GainRatioAttributeEval.html">GainRatioAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually by measuring gain ratio with respect to the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="GeneticSearch.html">GeneticSearch</A></B></TD><TD>Class for performing a genetic based search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="HoldOutSubsetEvaluator.html">HoldOutSubsetEvaluator</A></B></TD><TD>Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="InfoGainAttributeEval.html">InfoGainAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually by measuring information gain with respect to the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="OneRAttributeEval.html">OneRAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually by using the OneR classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="PrincipalComponents.html">PrincipalComponents</A></B></TD><TD>Class for performing principal components analysis/transformation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="RaceSearch.html">RaceSearch</A></B></TD><TD>Class for performing a racing search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="RandomSearch.html">RandomSearch</A></B></TD><TD>Class for performing a random search.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="Ranker.html">Ranker</A></B></TD><TD>Class for ranking the attributes evaluated by a AttributeEvaluator Valid options are: </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="RankSearch.html">RankSearch</A></B></TD><TD>Class for evaluating a attribute ranking (given by a specified evaluator) using a specified subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ReliefFAttributeEval.html">ReliefFAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually using ReliefF.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="SubsetEvaluator.html">SubsetEvaluator</A></B></TD><TD>Abstract attribute subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="SymmetricalUncertAttributeEval.html">SymmetricalUncertAttributeEval</A></B></TD><TD>Class for Evaluating attributes individually by measuring symmetrical uncertainty with respect to the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="UnsupervisedAttributeEvaluator.html">UnsupervisedAttributeEvaluator</A></B></TD><TD>Abstract unsupervised attribute evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="UnsupervisedSubsetEvaluator.html">UnsupervisedSubsetEvaluator</A></B></TD><TD>Abstract unsupervised attribute subset evaluator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="WrapperSubsetEval.html">WrapperSubsetEval</A></B></TD><TD>Wrapper attribute subset evaluator.</TD></TR></TABLE> <P><HR><!-- ========== 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