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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 10:31:49 CDT 2002 --><TITLE>: Class VFI</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="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../weka/classifiers/UserClassifier.html"><B>PREV CLASS</B></A> <A HREF="../../weka/classifiers/VotedPerceptron.html"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../index.html" TARGET="_top"><B>FRAMES</B></A> <A HREF="VFI.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers</FONT><BR>Class VFI</H2><PRE>java.lang.Object | +--<A HREF="../../weka/classifiers/Classifier.html">weka.classifiers.Classifier</A> | +--<A HREF="../../weka/classifiers/DistributionClassifier.html">weka.classifiers.DistributionClassifier</A> | +--<B>weka.classifiers.VFI</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.lang.Cloneable, <A HREF="../../weka/core/OptionHandler.html">OptionHandler</A>, java.io.Serializable, <A HREF="../../weka/core/WeightedInstancesHandler.html">WeightedInstancesHandler</A></DD></DL><HR><DL><DT>public class <B>VFI</B><DT>extends <A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A><DT>implements <A HREF="../../weka/core/OptionHandler.html">OptionHandler</A>, <A HREF="../../weka/core/WeightedInstancesHandler.html">WeightedInstancesHandler</A></DL><P>Class implementing the voting feature interval classifier. For numeric attributes, upper and lower boundaries (intervals) are constructed around each class. Discrete attributes have point intervals. Class counts are recorded for each interval on each feature. Classification is by voting. Missing values are ignored. Does not handle numeric class. <p> Have added a simple attribute weighting scheme. Higher weight is assigned to more confident intervals, where confidence is a function of entropy: weight (att_i) = (entropy of class distrib att_i / max uncertainty)^-bias. <p> Faster than NaiveBayes but slower than HyperPipes. <p><p> <pre> Confidence: 0.01 (two tailed) Dataset (1) VFI '-B | (2) Hyper (3) Naive ------------------------------------ anneal.ORIG (10) 74.56 | 97.88 v 74.77 anneal (10) 71.83 | 97.88 v 86.51 v audiology (10) 51.69 | 66.26 v 72.25 v autos (10) 57.63 | 62.79 v 57.76 balance-scale (10) 68.72 | 46.08 * 90.5 v breast-cancer (10) 67.25 | 69.84 v 73.12 v wisconsin-breast-cancer (10) 95.72 | 88.31 * 96.05 v horse-colic.ORIG (10) 66.13 | 70.41 v 66.12 horse-colic (10) 78.36 | 62.07 * 78.28 credit-rating (10) 85.17 | 44.58 * 77.84 * german_credit (10) 70.81 | 69.89 * 74.98 v pima_diabetes (10) 62.13 | 65.47 v 75.73 v Glass (10) 56.82 | 50.19 * 47.43 * cleveland-14-heart-diseas (10) 80.01 | 55.18 * 83.83 v hungarian-14-heart-diseas (10) 82.8 | 65.55 * 84.37 v heart-statlog (10) 79.37 | 55.56 * 84.37 v hepatitis (10) 83.78 | 63.73 * 83.87 hypothyroid (10) 92.64 | 93.33 v 95.29 v ionosphere (10) 94.16 | 35.9 * 82.6 * iris (10) 96.2 | 91.47 * 95.27 * kr-vs-kp (10) 88.22 | 54.1 * 87.84 * labor (10) 86.73 | 87.67 93.93 v lymphography (10) 78.48 | 58.18 * 83.24 v mushroom (10) 99.85 | 99.77 * 95.77 * primary-tumor (10) 29 | 24.78 * 49.35 v segment (10) 77.42 | 75.15 * 80.1 v sick (10) 65.92 | 93.85 v 92.71 v sonar (10) 58.02 | 57.17 67.97 v soybean (10) 86.81 | 86.12 * 92.9 v splice (10) 88.61 | 41.97 * 95.41 v vehicle (10) 52.94 | 32.77 * 44.8 * vote (10) 91.5 | 61.38 * 90.19 * vowel (10) 57.56 | 36.34 * 62.81 v waveform (10) 56.33 | 46.11 * 80.02 v zoo (10) 94.05 | 94.26 95.04 v ------------------------------------ (v| |*) | (9|3|23) (22|5|8) </pre> <p> For more information, see <p> Demiroz, G. and Guvenir, A. (1997) "Classification by voting feature intervals", <i>ECML-97</i>. <p> Valid options are:<p> -C <br> Don't Weight voting intervals by confidence. <p> -B <bias> <br> Set exponential bias towards confident intervals. default = 1.0 <p><P><DL><DT><B>See Also: </B><DD><A HREF="../../serialized-form.html#weka.classifiers.VFI">Serialized Form</A></DL><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Field Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_bias">m_bias</A></B></CODE><BR> Bias towards more confident intervals</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_ClassIndex">m_ClassIndex</A></B></CODE><BR> The index of the class attribute</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double[][][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_counts">m_counts</A></B></CODE><BR> The class counts for each interval of each attribute</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_globalCounts">m_globalCounts</A></B></CODE><BR> The global class counts</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected <A HREF="../../weka/core/Instances.html">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_Instances">m_Instances</A></B></CODE><BR> The training data</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double[][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_intervalBounds">m_intervalBounds</A></B></CODE><BR> The lower bounds for each attribute</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_maxEntrop">m_maxEntrop</A></B></CODE><BR> The maximum entropy for the class</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_NumClasses">m_NumClasses</A></B></CODE><BR> The number of classes</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#m_weightByConfidence">m_weightByConfidence</A></B></CODE><BR> Exponentially bias more confident intervals</TD></TR></TABLE> <!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#VFI()">VFI</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#biasTipText()">biasTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#buildClassifier(weka.core.Instances)">buildClassifier</A></B>(<A HREF="../../weka/core/Instances.html">Instances</A> instances)</CODE><BR> Generates the classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></B>(<A HREF="../../weka/core/Instance.html">Instance</A> instance)</CODE><BR> Classifies the given test instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#getBias()">getBias</A></B>()</CODE><BR> Get the value of the bias parameter</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of VFI</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#getWeightByConfidence()">getWeightByConfidence</A></B>()</CODE><BR> Get whether feature intervals are being weighted by confidence</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing this search method</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> Main method for testing this class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#setBias(double)">setBias</A></B>(double b)</CODE><BR> Set the value of the exponential bias towards more confident intervals</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#setWeightByConfidence(boolean)">setWeightByConfidence</A></B>(boolean c)</CODE><BR> Set weighting by confidence</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#toString()">toString</A></B>()</CODE><BR> Returns a description of this classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/VFI.html#weightByConfidenceTipText()">weightByConfidenceTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.DistributionClassifier"><!-- --></A><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class weka.classifiers.<A HREF="../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../weka/classifiers/DistributionClassifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.Classifier"><!-- --></A>⌨️ 快捷键说明
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