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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 EvaluationUtils</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 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TARGET="_top"><B>FRAMES</B></A> <A HREF="EvaluationUtils.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: INNER | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <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.evaluation</FONT><BR>Class EvaluationUtils</H2><PRE>java.lang.Object | +--<B>weka.classifiers.evaluation.EvaluationUtils</B></PRE><HR><DL><DT>public class <B>EvaluationUtils</B><DT>extends java.lang.Object</DL><P>Contains utility functions for generating lists of predictions in various manners.<P><HR><P><!-- ======== INNER CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><!-- ======== 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/evaluation/EvaluationUtils.html#EvaluationUtils()">EvaluationUtils</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> <A HREF="../../../weka/core/FastVector.html">FastVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/EvaluationUtils.html#getCVPredictions(weka.classifiers.DistributionClassifier, weka.core.Instances, int)">getCVPredictions</A></B>(<A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A> classifier, <A HREF="../../../weka/core/Instances.html">Instances</A> data, int numFolds)</CODE><BR> Generate a bunch of predictions ready for processing, by performing a cross-validation on the supplied dataset.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/evaluation/Prediction.html">Prediction</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/EvaluationUtils.html#getPrediction(weka.classifiers.DistributionClassifier, weka.core.Instance)">getPrediction</A></B>(<A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A> classifier, <A HREF="../../../weka/core/Instance.html">Instance</A> test)</CODE><BR> Generate a single prediction for a test instance given the pre-trained classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/EvaluationUtils.html#getSeed()">getSeed</A></B>()</CODE><BR> Gets the seed for randomization during cross-validation</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/FastVector.html">FastVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/EvaluationUtils.html#getTestPredictions(weka.classifiers.DistributionClassifier, weka.core.Instances)">getTestPredictions</A></B>(<A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A> classifier, <A HREF="../../../weka/core/Instances.html">Instances</A> test)</CODE><BR> Generate a bunch of predictions ready for processing, by performing a evaluation on a test set assuming the classifier is already trained.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/FastVector.html">FastVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/EvaluationUtils.html#getTrainTestPredictions(weka.classifiers.DistributionClassifier, weka.core.Instances, weka.core.Instances)">getTrainTestPredictions</A></B>(<A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A> classifier, <A HREF="../../../weka/core/Instances.html">Instances</A> train, <A HREF="../../../weka/core/Instances.html">Instances</A> test)</CODE><BR> Generate a bunch of predictions ready for processing, by performing a evaluation on a test set after training on the given training set.</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/evaluation/EvaluationUtils.html#setSeed(int)">setSeed</A></B>(int seed)</CODE><BR> Sets the seed for randomization during cross-validation</TD></TR>⌨️ 快捷键说明
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