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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 01:37:04 CEST 2008 --><TITLE>Uses of Package com.rapidminer.operator.learner (RapidMiner Class Documentation)</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="Uses of Package com.rapidminer.operator.learner (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" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <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="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Class</FONT> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Use</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 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BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../../com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner"><B>com.rapidminer.operator.learner</B></A></TD><TD>Provides learning operators. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.bayes"><B>com.rapidminer.operator.learner.bayes</B></A></TD><TD>This package contains classes and operators for Naive Bayes learning. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions"><B>com.rapidminer.operator.learner.functions</B></A></TD><TD>This package contains learners based on the conceptof function approximation. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel"><B>com.rapidminer.operator.learner.functions.kernel</B></A></TD><TD>Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.evosvm"><B>com.rapidminer.operator.learner.functions.kernel.evosvm</B></A></TD><TD>Implementations of SVMs which makes use of general purpose optimizationmethods, e.g. evolutionary strategies or particle swarm optimization. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.hyperhyper"><B>com.rapidminer.operator.learner.functions.kernel.hyperhyper</B></A></TD><TD>This package contains classes for the HyperHyper learner. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.neuralnet"><B>com.rapidminer.operator.learner.functions.neuralnet</B></A></TD><TD>This package contains a neural net learner based on Joone. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.igss"><B>com.rapidminer.operator.learner.igss</B></A></TD><TD>Provides classes for learning operator Iterating Generic Sequential Sampling. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.igss.hypothesis"><B>com.rapidminer.operator.learner.igss.hypothesis</B></A></TD><TD>Provides the hypothesis classes for learning operator Iterating Generic Sequential Sampling. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.lazy"><B>com.rapidminer.operator.learner.lazy</B></A></TD><TD>Learning schemes which perform lazy learning. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.meta"><B>com.rapidminer.operator.learner.meta</B></A></TD><TD>Meta learning schemes which uses other learning operators to increase the performance. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.rules"><B>com.rapidminer.operator.learner.rules</B></A></TD><TD>Provides rule learners. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.tree"><B>com.rapidminer.operator.learner.tree</B></A></TD><TD>Provides decision tree learners. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.weka"><B>com.rapidminer.operator.learner.weka</B></A></TD><TD>Operators which encapsulate the learning schemes provided by Weka. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.postprocessing"><B>com.rapidminer.operator.postprocessing</B></A></TD><TD>Operators for post processing, usually used for models. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools"><B>com.rapidminer.tools</B></A></TD><TD>Provides tools for RapidMiner like parsers for the input files. </TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Classes in <A HREF="../../../../com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A> used by <A HREF="../../../../com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/Learner.html#com.rapidminer.operator.learner"><B>Learner</B></A></B><BR> A <tt>Learner</tt> is an operator that encapsulates the learning step of a machine learning method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/LearnerCapability.html#com.rapidminer.operator.learner"><B>LearnerCapability</B></A></B><BR> The possible capabilities for all learners.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/PredictionModel.html#com.rapidminer.operator.learner"><B>PredictionModel</B></A></B><BR> PredictionModel is the superclass for all objects generated by learners, i.e.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.bayes"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Classes in <A HREF="../../../../com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A> used by <A HREF="../../../../com/rapidminer/operator/learner/bayes/package-summary.html">com.rapidminer.operator.learner.bayes</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/AbstractLearner.html#com.rapidminer.operator.learner.bayes"><B>AbstractLearner</B></A></B><BR> A <tt>Learner</tt> is an operator that encapsulates the learning step of a machine learning method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/Learner.html#com.rapidminer.operator.learner.bayes"><B>Learner</B></A></B><BR> A <tt>Learner</tt> is an operator that encapsulates the learning step of a machine learning method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/LearnerCapability.html#com.rapidminer.operator.learner.bayes"><B>LearnerCapability</B></A></B><BR> The possible capabilities for all learners.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/PredictionModel.html#com.rapidminer.operator.learner.bayes"><B>PredictionModel</B></A></B><BR> PredictionModel is the superclass for all objects generated by learners, i.e.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.functions"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Classes in <A HREF="../../../../com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A> used by <A HREF="../../../../com/rapidminer/operator/learner/functions/package-summary.html">com.rapidminer.operator.learner.functions</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/AbstractLearner.html#com.rapidminer.operator.learner.functions"><B>AbstractLearner</B></A></B><BR> A <tt>Learner</tt> is an operator that encapsulates the learning step of a machine learning method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/Learner.html#com.rapidminer.operator.learner.functions"><B>Learner</B></A></B><BR> A <tt>Learner</tt> is an operator that encapsulates the learning step of a machine learning method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><B><A HREF="../../../../com/rapidminer/operator/learner/class-use/LearnerCapability.html#com.rapidminer.operator.learner.functions"><B>LearnerCapability</B></A></B><BR> The possible capabilities for all learners.</TD></TR>⌨️ 快捷键说明
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