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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.tools (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.tools (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 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COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../com/rapidminer/tools/package-summary.html">com.rapidminer.tools</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer"><B>com.rapidminer</B></A></TD><TD>The main packages of RapidMiner. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.doc"><B>com.rapidminer.doc</B></A></TD><TD>The documentation generator of RapidMiner. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.example"><B>com.rapidminer.example</B></A></TD><TD>The data core classes of RapidMiner. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.example.set"><B>com.rapidminer.example.set</B></A></TD><TD>The available views (example sets) on the example tables. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.example.table"><B>com.rapidminer.example.table</B></A></TD><TD>The available example table implementations (data sources). </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.generator"><B>com.rapidminer.generator</B></A></TD><TD>Provides feature generators. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.gui.operatormenu"><B>com.rapidminer.gui.operatormenu</B></A></TD><TD>Classes for the operator context menu (new operator, replace operator...). </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.gui.processeditor"><B>com.rapidminer.gui.processeditor</B></A></TD><TD>Contains all experiment editors but the operator tree (which has its own package). </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"><B>com.rapidminer.operator.features</B></A></TD><TD>Provides feature handling operators. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.features.aggregation"><B>com.rapidminer.operator.features.aggregation</B></A></TD><TD>Provides operators for automatic feature aggregation. </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.transformation"><B>com.rapidminer.operator.features.transformation</B></A></TD><TD>Provides operators for feature space transformations like PCA or ICA. </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.generator"><B>com.rapidminer.operator.generator</B></A></TD><TD>Provides operators for data generation. </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"><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.associations"><B>com.rapidminer.operator.learner.associations</B></A></TD><TD>This package contains classes and operators for association rule mining and frequent item set mining. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.associations.fpgrowth"><B>com.rapidminer.operator.learner.associations.fpgrowth</B></A></TD><TD>This package contains classes and operators for association rule mining and frequent item set mining based on FPGrowth. </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.clustering"><B>com.rapidminer.operator.learner.clustering</B></A></TD><TD>Core data structures for the clustering plugin. </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.constrained"><B>com.rapidminer.operator.learner.clustering.constrained</B></A></TD><TD>Provides constrained and semisupervised clustering schemes. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.learner.clustering.constrained.constraints"><B>com.rapidminer.operator.learner.clustering.constrained.constraints</B></A></TD><TD>Provides helper classes for handling the constraints in constrained and semisupervised clustering schemes. </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.clustering.hierarchical.upgma"><B>com.rapidminer.operator.learner.clustering.hierarchical.upgma</B></A></TD><TD>UPGMA 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"><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.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.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>⌨️ 快捷键说明
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