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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 01:37:03 CEST 2008 --><TITLE>Uses of Class com.rapidminer.parameter.UndefinedParameterError (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 Class com.rapidminer.parameter.UndefinedParameterError (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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--><HR><CENTER><H2><B>Uses of Class<br>com.rapidminer.parameter.UndefinedParameterError</B></H2></CENTER><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../../com/rapidminer/parameter/UndefinedParameterError.html" title="class in com.rapidminer.parameter">UndefinedParameterError</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.gui.renderer"><B>com.rapidminer.gui.renderer</B></A></TD><TD>This package consists the base classes for the renderers / visualization components of RapidMiner components and results. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator"><B>com.rapidminer.operator</B></A></TD><TD>Provides operators for machine learning and data pre-processing. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.features.construction"><B>com.rapidminer.operator.features.construction</B></A></TD><TD>Provides operators for automatic feature construction. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.features.selection"><B>com.rapidminer.operator.features.selection</B></A></TD><TD>Provides operators for automatic feature selection. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.features.weighting"><B>com.rapidminer.operator.features.weighting</B></A></TD><TD>Operators to weight features or determine feature relevance. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.io"><B>com.rapidminer.operator.io</B></A></TD><TD>Operators to read data from files or write them into files. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.clusterer"><B>com.rapidminer.operator.learner.clustering.clusterer</B></A></TD><TD>Clustering algorithms. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.hierarchical"><B>com.rapidminer.operator.learner.clustering.hierarchical</B></A></TD><TD>Methods and framework for hierarchical clustering. </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.functions"><B>com.rapidminer.operator.learner.functions.kernel.functions</B></A></TD><TD>This package contains some common kernel functions. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.jmysvm.svm"><B>com.rapidminer.operator.learner.functions.kernel.jmysvm.svm</B></A></TD><TD>The main package for the Java version of the the regression and classification support vector machine mySVM. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.logistic"><B>com.rapidminer.operator.learner.functions.kernel.logistic</B></A></TD><TD>The main package for Kernel Logistic Regression (KLR). </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.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.meta"><B>com.rapidminer.operator.meta</B></A></TD><TD>Provides operators for experiment iteration, meta operators, and optimization. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.performance"><B>com.rapidminer.operator.performance</B></A></TD><TD>Provides performance evaluating operators and performance criteria. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.preprocessing.sampling"><B>com.rapidminer.operator.preprocessing.sampling</B></A></TD><TD>Preprocessing operators used for sampling. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.similarity"><B>com.rapidminer.operator.similarity</B></A></TD><TD>Basic framework for similarities. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.parameter"><B>com.rapidminer.parameter</B></A></TD><TD>This package contains classes for handling of operator parameters and specifiying parameter types. </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><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.tools.math.similarity"><B>com.rapidminer.tools.math.similarity</B></A></TD><TD>This package consists similariy and distance measures. </TD></TR></TABLE> <P><A NAME="com.rapidminer.gui.renderer"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../com/rapidminer/parameter/UndefinedParameterError.html" title="class in com.rapidminer.parameter">UndefinedParameterError</A> in <A HREF="../../../../com/rapidminer/gui/renderer/package-summary.html">com.rapidminer.gui.renderer</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor">⌨️ 快捷键说明
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