<TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/renderer/weights/package-summary.html">com.rapidminer.gui.renderer.weights</A></B></TD><TD>This package consists the base classes for the renderers / visualization components of RapidMiner attribute weights.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/templates/package-summary.html">com.rapidminer.gui.templates</A></B></TD><TD>Provides classes for template and building block management and creation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/tools/package-summary.html">com.rapidminer.gui.tools</A></B></TD><TD>Some basic tools for the graphical user interface (GUI) of RapidMiner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/tools/actions/package-summary.html">com.rapidminer.gui.tools.actions</A></B></TD><TD>The actions associated with the GUI tools.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/tools/syntax/package-summary.html">com.rapidminer.gui.tools.syntax</A></B></TD><TD>This package contains a text editor supporting syntax highlighting.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/viewer/package-summary.html">com.rapidminer.gui.viewer</A></B></TD><TD>This package contain viewer classes for some standard data types like ExampleSets, DataTables etc.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/gui/wizards/package-summary.html">com.rapidminer.gui.wizards</A></B></TD><TD>This package contain wizard classes for configurating operators.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/package-summary.html">com.rapidminer.operator</A></B></TD><TD>Provides operators for machine learning and data pre-processing.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/condition/package-summary.html">com.rapidminer.operator.condition</A></B></TD><TD>Operator conditions are used to ensure that inner operators of an OperatorChain are correctly embedded.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/package-summary.html">com.rapidminer.operator.features</A></B></TD><TD>Provides feature handling operators.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/aggregation/package-summary.html">com.rapidminer.operator.features.aggregation</A></B></TD><TD>Provides operators for automatic feature aggregation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/construction/package-summary.html">com.rapidminer.operator.features.construction</A></B></TD><TD>Provides operators for automatic feature construction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/selection/package-summary.html">com.rapidminer.operator.features.selection</A></B></TD><TD>Provides operators for automatic feature selection.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/transformation/package-summary.html">com.rapidminer.operator.features.transformation</A></B></TD><TD>Provides operators for feature space transformations like PCA or ICA.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/features/weighting/package-summary.html">com.rapidminer.operator.features.weighting</A></B></TD><TD>Operators to weight features or determine feature relevance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/generator/package-summary.html">com.rapidminer.operator.generator</A></B></TD><TD>Provides operators for data generation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/io/package-summary.html">com.rapidminer.operator.io</A></B></TD><TD>Operators to read data from files or write them into files.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/package-summary.html">com.rapidminer.operator.learner</A></B></TD><TD>Provides learning operators.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/associations/package-summary.html">com.rapidminer.operator.learner.associations</A></B></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 WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/associations/fpgrowth/package-summary.html">com.rapidminer.operator.learner.associations.fpgrowth</A></B></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 WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/bayes/package-summary.html">com.rapidminer.operator.learner.bayes</A></B></TD><TD>This package contains classes and operators for Naive Bayes learning.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/package-summary.html">com.rapidminer.operator.learner.clustering</A></B></TD><TD>Core data structures for the clustering plugin.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/characterization/package-summary.html">com.rapidminer.operator.learner.clustering.characterization</A></B></TD><TD>This package contain some possible cluster characterizations, e.g. based on simple models like OneR.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/clusterer/package-summary.html">com.rapidminer.operator.learner.clustering.clusterer</A></B></TD><TD>Clustering algorithms.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/constrained/package-summary.html">com.rapidminer.operator.learner.clustering.constrained</A></B></TD><TD>Provides constrained and semisupervised clustering schemes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/constrained/constraints/package-summary.html">com.rapidminer.operator.learner.clustering.constrained.constraints</A></B></TD><TD>Provides helper classes for handling the constraints in constrained and semisupervised clustering schemes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/hierarchical/package-summary.html">com.rapidminer.operator.learner.clustering.hierarchical</A></B></TD><TD>Methods and framework for hierarchical clustering.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/hierarchical/clustersimilarity/package-summary.html">com.rapidminer.operator.learner.clustering.hierarchical.clustersimilarity</A></B></TD><TD>Similarity measures for agglomerative clustering.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/hierarchical/upgma/package-summary.html">com.rapidminer.operator.learner.clustering.hierarchical.upgma</A></B></TD><TD>UPGMA Clustering.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/clustering/test/package-summary.html">com.rapidminer.operator.learner.clustering.test</A></B></TD><TD>Test classes for the core package.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/package-summary.html">com.rapidminer.operator.learner.functions</A></B></TD><TD>This package contains learners based on the conceptof function approximation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel</A></B></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 WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/evosvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.evosvm</A></B></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 WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/functions/package-summary.html">com.rapidminer.operator.learner.functions.kernel.functions</A></B></TD><TD>This package contains some common kernel functions.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/gaussianprocess/package-summary.html">com.rapidminer.operator.learner.functions.kernel.gaussianprocess</A></B></TD><TD>This package contains classes necessary for GP (Gaussian Processes) calculation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/hyperhyper/package-summary.html">com.rapidminer.operator.learner.functions.kernel.hyperhyper</A></B></TD><TD>This package contains classes for the HyperHyper learner.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/jmysvm/examples/package-summary.html">com.rapidminer.operator.learner.functions.kernel.jmysvm.examples</A></B></TD><TD>The package for data handling of the Java version of the support vector machine mySVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/jmysvm/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel</A></B></TD><TD>The package for the kernel function provided by the Java version of the support vector machine mySVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/jmysvm/optimizer/package-summary.html">com.rapidminer.operator.learner.functions.kernel.jmysvm.optimizer</A></B></TD><TD>The package for the optimizer which is used by the Java version of the support vector machine mySVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/jmysvm/svm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.jmysvm.svm</A></B></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 WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/jmysvm/util/package-summary.html">com.rapidminer.operator.learner.functions.kernel.jmysvm.util</A></B></TD><TD>The util package of the Java version of the support vector machine mySVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/logistic/package-summary.html">com.rapidminer.operator.learner.functions.kernel.logistic</A></B></TD><TD>The main package for Kernel Logistic Regression (KLR).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/rvm/package-summary.html">com.rapidminer.operator.learner.functions.kernel.rvm</A></B></TD><TD>This package contains classes necessary for Relevance Vector Machine (RVM) calculation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/rvm/kernel/package-summary.html">com.rapidminer.operator.learner.functions.kernel.rvm.kernel</A></B></TD><TD>This package contains kernel functions usable for the RVM.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/rvm/test/package-summary.html">com.rapidminer.operator.learner.functions.kernel.rvm.test</A></B></TD><TD>Contains tests for some of the RVM classes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/kernel/rvm/util/package-summary.html">com.rapidminer.operator.learner.functions.kernel.rvm.util</A></B></TD><TD>Contains util classes for the Relevance Vector Machine package.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/functions/neuralnet/package-summary.html">com.rapidminer.operator.learner.functions.neuralnet</A></B></TD><TD>This package contains a neural net learner based on Joone.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/igss/package-summary.html">com.rapidminer.operator.learner.igss</A></B></TD><TD>Provides classes for learning operator Iterating Generic Sequential Sampling.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/igss/hypothesis/package-summary.html">com.rapidminer.operator.learner.igss.hypothesis</A></B></TD><TD>Provides the hypothesis classes for learning operator Iterating Generic Sequential Sampling.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/igss/utility/package-summary.html">com.rapidminer.operator.learner.igss.utility</A></B></TD><TD>Provides utility function classes for learning operator Iterating Generic Sequential Sampling.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/lazy/package-summary.html">com.rapidminer.operator.learner.lazy</A></B></TD><TD>Learning schemes which perform lazy learning.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/meta/package-summary.html">com.rapidminer.operator.learner.meta</A></B></TD><TD>Meta learning schemes which uses other learning operators to increase the performance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/rules/package-summary.html">com.rapidminer.operator.learner.rules</A></B></TD><TD>Provides rule learners.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/tree/package-summary.html">com.rapidminer.operator.learner.tree</A></B></TD><TD>Provides decision tree learners.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/learner/weka/package-summary.html">com.rapidminer.operator.learner.weka</A></B></TD><TD>Operators which encapsulate the learning schemes provided by Weka.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/meta/package-summary.html">com.rapidminer.operator.meta</A></B></TD><TD>Provides operators for experiment iteration, meta operators, and optimization.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/meta/branch/package-summary.html">com.rapidminer.operator.meta.branch</A></B></TD><TD>Provides operators for conditioned branching.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/olap/package-summary.html">com.rapidminer.operator.olap</A></B></TD><TD>This package contains some simple operators for basic OLAP analysis like grouping and aggregation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/olap/aggregation/package-summary.html">com.rapidminer.operator.olap.aggregation</A></B></TD><TD>This package contains some aggregation functions which can be used by OLAP processing.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="20%"><B><A HREF="com/rapidminer/operator/performance/package-summary.html">com.rapidminer.operator.performance</A></B></TD><TD>Provides performance evaluating operators and performance criteria.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor">