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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:33 CEST 2008 --><TITLE>BayBoostStream (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.meta.BayBoostStream class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="BayBoostStream (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" 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HREF="../../../../../com/rapidminer/operator/Operator.html" title="class in com.rapidminer.operator">com.rapidminer.operator.Operator</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/rapidminer/operator/OperatorChain.html" title="class in com.rapidminer.operator">com.rapidminer.operator.OperatorChain</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/rapidminer/operator/learner/meta/AbstractMetaLearner.html" title="class in com.rapidminer.operator.learner.meta">com.rapidminer.operator.learner.meta.AbstractMetaLearner</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.meta.BayBoostStream</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../../com/rapidminer/gui/wizards/ConfigurationListener.html" title="interface in com.rapidminer.gui.wizards">ConfigurationListener</A>, <A HREF="../../../../../com/rapidminer/gui/wizards/PreviewListener.html" title="interface in com.rapidminer.gui.wizards">PreviewListener</A>, <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A>, <A HREF="../../../../../com/rapidminer/parameter/ParameterHandler.html" title="interface in com.rapidminer.parameter">ParameterHandler</A>, <A HREF="../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>BayBoostStream</B><DT>extends <A HREF="../../../../../com/rapidminer/operator/learner/meta/AbstractMetaLearner.html" title="class in com.rapidminer.operator.learner.meta">AbstractMetaLearner</A></DL></PRE><P>Assumptions: <ol> <li>target label is always boolean</li> <li>goal is to fit a crisp ensemble classifier (use_distribution always off)</li> <li>base classifier weights are always adapted by a single row from first to last</li> <li>no internal bootstrapping</li> </ul><P><P><DL><DT><B>Version:</B></DT> <DD>$Id: BayBoostStream.java,v 1.12 2008/07/07 07:06:44 ingomierswa Exp $</DD><DT><B>Author:</B></DT> <DD>Martin Scholz</DD></DL><HR><P><!-- ======== NESTED CLASS SUMMARY ======== --><A NAME="nested_class_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Nested Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.BatchFilterCondition.html" title="class in com.rapidminer.operator.learner.meta">BayBoostStream.BatchFilterCondition</A></B></CODE><BR> Class that filters an ExampleSet by the value of a special attribute.</TD></TR></TABLE> <!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#MIN_ADVANTAGE">MIN_ADVANTAGE</A></B></CODE><BR> Discard models with an advantage of less than the specified value.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#MIN_LIFT_RATIO_SOFT_CLASSIFIER">MIN_LIFT_RATIO_SOFT_CLASSIFIER</A></B></CODE><BR> The probabilistic prediction of soft classifiers is restricted, similar to a confidence bound.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#PARAMETER_BATCH_SIZE">PARAMETER_BATCH_SIZE</A></B></CODE><BR> Name of the variable specifying the maximal number of iterations of the learner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#PARAMETER_FRACTION_HOLD_OUT_SET">PARAMETER_FRACTION_HOLD_OUT_SET</A></B></CODE><BR> Parameter name to activate a hold out set for tuning.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#PARAMETER_RESCALE_LABEL_PRIORS">PARAMETER_RESCALE_LABEL_PRIORS</A></B></CODE><BR> Boolean parameter to specify whether the label priors should be equally likely after first iteration.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/BayBoostStream.html#STREAM_CONTROL_ATTRIB_NAME">STREAM_CONTROL_ATTRIB_NAME</A></B></CODE><BR> Name of the special attribute with additional stream control information.</TD></TR>⌨️ 快捷键说明
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