RapidMiner 5.2 Class Documentation

Packages
com.rapid_i.deployment.update.client  
com.rapidminer The main packages of RapidMiner.
com.rapidminer.datatable DataTables are the most important data container interface for RapidMiner which are used for all statistics and plotting purposes.
com.rapidminer.doc The documentation generator of RapidMiner.
com.rapidminer.example The data core classes of RapidMiner.
com.rapidminer.example.set The available views (example sets) on the example tables.
com.rapidminer.example.table The available example table implementations (data sources).
com.rapidminer.generator Provides feature generators.
com.rapidminer.gui Provides the main GUI classes.
com.rapidminer.gui.actions The main actions of the RapidMiner GUI.
com.rapidminer.gui.attributeeditor Provides the classes necessary for the Attribute Editor, i.e. the tool for creating attribute description files from data files.
com.rapidminer.gui.attributeeditor.actions The actions associated with the AttributeEditor.
com.rapidminer.gui.dialog This package contains all non-special dialogs of RapidMiner.
com.rapidminer.gui.dnd  
com.rapidminer.gui.docking  
com.rapidminer.gui.flow  
com.rapidminer.gui.graphs This package contains plotting functionality for graphs and some graph plot implementations for common RapidMiner graphs.
com.rapidminer.gui.graphs.actions This package contains the actions used for graph plotting.
com.rapidminer.gui.look This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.look.borders This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.look.fc This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.look.icons This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.look.painters This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.look.ui This package contains the modern look and feel of RapidMiner.
com.rapidminer.gui.new_plotter  
com.rapidminer.gui.new_plotter.configuration  
com.rapidminer.gui.new_plotter.configuration.event  
com.rapidminer.gui.new_plotter.data  
com.rapidminer.gui.new_plotter.engine  
com.rapidminer.gui.new_plotter.engine.jfreechart  
com.rapidminer.gui.new_plotter.engine.jfreechart.actions  
com.rapidminer.gui.new_plotter.engine.jfreechart.dataset  
com.rapidminer.gui.new_plotter.engine.jfreechart.legend  
com.rapidminer.gui.new_plotter.engine.jfreechart.link_and_brush  
com.rapidminer.gui.new_plotter.engine.jfreechart.link_and_brush.axis  
com.rapidminer.gui.new_plotter.engine.jfreechart.link_and_brush.listener  
com.rapidminer.gui.new_plotter.engine.jfreechart.link_and_brush.plots  
com.rapidminer.gui.new_plotter.engine.jfreechart.renderer  
com.rapidminer.gui.new_plotter.event  
com.rapidminer.gui.new_plotter.gui  
com.rapidminer.gui.new_plotter.gui.cellrenderer  
com.rapidminer.gui.new_plotter.gui.dialog  
com.rapidminer.gui.new_plotter.gui.dnd  
com.rapidminer.gui.new_plotter.gui.groupingpanel  
com.rapidminer.gui.new_plotter.gui.popup  
com.rapidminer.gui.new_plotter.gui.treenodes  
com.rapidminer.gui.new_plotter.integration  
com.rapidminer.gui.new_plotter.listener  
com.rapidminer.gui.new_plotter.listener.events  
com.rapidminer.gui.new_plotter.templates  
com.rapidminer.gui.new_plotter.templates.actions  
com.rapidminer.gui.new_plotter.templates.gui  
com.rapidminer.gui.new_plotter.templates.style  
com.rapidminer.gui.new_plotter.utility  
com.rapidminer.gui.operatormenu Classes for the operator context menu (new operator, replace operator...).
com.rapidminer.gui.operatortree The operator tree is the main experiment editor for RapidMiner.
com.rapidminer.gui.operatortree.actions The actions associated with the operator tree.
com.rapidminer.gui.plotter This package contains all plotters which are able to create plots from a given DataTable.
com.rapidminer.gui.plotter.charts Some basic chart plotters.
com.rapidminer.gui.plotter.conditions Contains plotter conditions which are used to prevent the usage of a plotter for DataTables which does not fulfill the corresponding condition.
com.rapidminer.gui.plotter.mathplot This package contains DataTable plotter making use of the JMathPlot library.
com.rapidminer.gui.plotter.settings  
com.rapidminer.gui.plotter.som Classes for a SOM (Self Organizing Map aka Kohonen Net) plotter.
com.rapidminer.gui.processeditor Contains all experiment editors but the operator tree (which has its own package).
com.rapidminer.gui.processeditor.results  
com.rapidminer.gui.properties This package consists of all classes for property (parameter) editing, i.e.
com.rapidminer.gui.properties.celleditors.key  
com.rapidminer.gui.properties.celleditors.value  
com.rapidminer.gui.renderer This package consists the base classes for the renderers / visualization components of RapidMiner components and results.
com.rapidminer.gui.renderer.associations  
com.rapidminer.gui.renderer.cluster This package consists the base classes for the renderers / visualization components of RapidMiner clustering components and results.
com.rapidminer.gui.renderer.data This package consists the base classes for the renderers / visualization components of RapidMiner data sets (example sets).
com.rapidminer.gui.renderer.itemsets  
com.rapidminer.gui.renderer.math  
com.rapidminer.gui.renderer.models This package consists the base classes for the renderers / visualization components of RapidMiner models.
com.rapidminer.gui.renderer.performance This package consists the base classes for the renderers / visualization components of RapidMiner performance vectors.
com.rapidminer.gui.renderer.similarity This package consists the base classes for the renderers / visualization components of RapidMiner similarity measures.
com.rapidminer.gui.renderer.visualization This package consists of the base classes for the renderers / visualization components of RapidMiner visualization results.
com.rapidminer.gui.renderer.weights This package consists the base classes for the renderers / visualization components of RapidMiner attribute weights.
com.rapidminer.gui.security  
com.rapidminer.gui.templates Provides classes for template and building block management and creation.
com.rapidminer.gui.tools Some basic tools for the graphical user interface (GUI) of RapidMiner.
com.rapidminer.gui.tools.actions The actions associated with the GUI tools.
com.rapidminer.gui.tools.autocomplete  
com.rapidminer.gui.tools.components  
com.rapidminer.gui.tools.dialogs  
com.rapidminer.gui.tools.dialogs.wizards  
com.rapidminer.gui.tools.dialogs.wizards.dataimport  
com.rapidminer.gui.tools.dialogs.wizards.dataimport.access  
com.rapidminer.gui.tools.dialogs.wizards.dataimport.csv  
com.rapidminer.gui.tools.dialogs.wizards.dataimport.excel  
com.rapidminer.gui.tools.syntax This package contains a text editor supporting syntax highlighting.
com.rapidminer.gui.tools.table  
com.rapidminer.gui.viewer This package contain viewer classes for some standard data types like ExampleSets, DataTables etc.
com.rapidminer.gui.viewer.collection  
com.rapidminer.gui.wizards This package contain wizard classes for configurating operators.
com.rapidminer.io  
com.rapidminer.io.process  
com.rapidminer.io.process.conditions  
com.rapidminer.io.process.rules  
com.rapidminer.operator Provides operators for machine learning and data pre-processing.
com.rapidminer.operator.annotation  
com.rapidminer.operator.associations  
com.rapidminer.operator.clustering The base classes for clustering.
com.rapidminer.operator.clustering.clusterer The operators for clustering.
com.rapidminer.operator.clustering.clusterer.soft The operators and helper classes for soft clustering.
com.rapidminer.operator.collections  
com.rapidminer.operator.condition Operator conditions are used to ensure that inner operators of an OperatorChain are correctly embedded.
com.rapidminer.operator.execution  
com.rapidminer.operator.features Provides feature handling operators.
com.rapidminer.operator.features.aggregation Provides operators for automatic feature aggregation.
com.rapidminer.operator.features.construction Provides operators for automatic feature construction.
com.rapidminer.operator.features.selection Provides operators for automatic feature selection.
com.rapidminer.operator.features.transformation Provides operators for feature space transformations like PCA or ICA.
com.rapidminer.operator.features.weighting Operators to weight features or determine feature relevance.
com.rapidminer.operator.generator Provides operators for data generation.
com.rapidminer.operator.io Operators to read data from files or write them into files.
com.rapidminer.operator.learner Provides learning operators.
com.rapidminer.operator.learner.associations This package contains classes and operators for association rule mining and frequent item set mining.
com.rapidminer.operator.learner.associations.fpgrowth This package contains classes and operators for association rule mining and frequent item set mining based on FPGrowth.
com.rapidminer.operator.learner.associations.gsp  
com.rapidminer.operator.learner.bayes This package contains classes and operators for Naive Bayes learning.
com.rapidminer.operator.learner.functions This package contains learners based on the concept of function approximation.
com.rapidminer.operator.learner.functions.kernel Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.
com.rapidminer.operator.learner.functions.kernel.evosvm Implementations of SVMs which makes use of general purpose optimization methods, e.g. evolutionary strategies or particle swarm optimization.
com.rapidminer.operator.learner.functions.kernel.gaussianprocess This package contains classes necessary for GP (Gaussian Processes) calculation.
com.rapidminer.operator.learner.functions.kernel.hyperhyper This package contains classes for the HyperHyper learner.
com.rapidminer.operator.learner.functions.kernel.jmysvm.examples The package for data handling of the Java version of the support vector machine mySVM.
com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel The package for the kernel function provided by the Java version of the support vector machine mySVM.
com.rapidminer.operator.learner.functions.kernel.jmysvm.optimizer The package for the optimizer which is used by the Java version of the support vector machine mySVM.
com.rapidminer.operator.learner.functions.kernel.jmysvm.svm The main package for the Java version of the the regression and classification support vector machine mySVM.
com.rapidminer.operator.learner.functions.kernel.jmysvm.util The util package of the Java version of the support vector machine mySVM.
com.rapidminer.operator.learner.functions.kernel.logistic The main package for Kernel Logistic Regression (KLR).
com.rapidminer.operator.learner.functions.kernel.rvm This package contains classes necessary for Relevance Vector Machine (RVM) calculation.
com.rapidminer.operator.learner.functions.kernel.rvm.kernel This package contains kernel functions usable for the RVM.
com.rapidminer.operator.learner.functions.kernel.rvm.util Contains util classes for the Relevance Vector Machine package.
com.rapidminer.operator.learner.functions.linear  
com.rapidminer.operator.learner.functions.neuralnet This package contains a neural net learner based on Joone.
com.rapidminer.operator.learner.igss Provides classes for learning operator Iterating Generic Sequential Sampling.
com.rapidminer.operator.learner.igss.hypothesis Provides the hypothesis classes for learning operator Iterating Generic Sequential Sampling.
com.rapidminer.operator.learner.igss.utility Provides utility function classes for learning operator Iterating Generic Sequential Sampling.
com.rapidminer.operator.learner.lazy Learning schemes which perform lazy learning.
com.rapidminer.operator.learner.local  
com.rapidminer.operator.learner.meta Meta learning schemes which uses other learning operators to increase the performance.
com.rapidminer.operator.learner.rules Provides rule learners.
com.rapidminer.operator.learner.subgroups Provides the major classes of a subgroup discovery algorithm.
com.rapidminer.operator.learner.subgroups.hypothesis Provides helper classes for a subgroups discovery algorithm.
com.rapidminer.operator.learner.subgroups.utility Provides the utility functions for a subgroups discovery algorithm.
com.rapidminer.operator.learner.tree Provides decision tree learners.
com.rapidminer.operator.learner.tree.criterions  
com.rapidminer.operator.libraries  
com.rapidminer.operator.macros  
com.rapidminer.operator.meta Provides operators for experiment iteration, meta operators, and optimization.
com.rapidminer.operator.meta.branch Provides operators for conditioned branching.
com.rapidminer.operator.nio  
com.rapidminer.operator.nio.file  
com.rapidminer.operator.nio.model  
com.rapidminer.operator.nio.xml  
com.rapidminer.operator.performance Provides performance evaluating operators and performance criteria.
com.rapidminer.operator.performance.cost This package contains cost-based performance evaluations.
com.rapidminer.operator.ports  
com.rapidminer.operator.ports.impl  
com.rapidminer.operator.ports.metadata  
com.rapidminer.operator.ports.quickfix  
com.rapidminer.operator.postprocessing Operators for post processing, usually used for models.
com.rapidminer.operator.preprocessing Operators for preprocessing purposes.
com.rapidminer.operator.preprocessing.discretization Contains discretization operators which can be used to transform numerical into nominal attributes.
com.rapidminer.operator.preprocessing.filter Containing filter operators changing the input example set, e.g. by removing certain attributes or changing the data.
com.rapidminer.operator.preprocessing.filter.attributes This package contains the attribute filter.
com.rapidminer.operator.preprocessing.join This package contains the operators for joining and merging example sets.
com.rapidminer.operator.preprocessing.normalization Preprocessing operators used for normalization.
com.rapidminer.operator.preprocessing.outlier Operators for outlier detection.
com.rapidminer.operator.preprocessing.sampling Preprocessing operators used for sampling.
com.rapidminer.operator.preprocessing.sampling.sequences  
com.rapidminer.operator.preprocessing.transformation This package contains some simple operators for basic transformations like grouping, aggregation and pivotization.
com.rapidminer.operator.preprocessing.transformation.aggregation  
com.rapidminer.operator.preprocessing.weighting This package methods for the weighting of examples.
com.rapidminer.operator.repository  
com.rapidminer.operator.similarity Basic framework for similarities.
com.rapidminer.operator.tools  
com.rapidminer.operator.validation Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).
com.rapidminer.operator.validation.clustering Evaluation methods for clustering.
com.rapidminer.operator.validation.clustering.exampledistribution Evaluation methods for clustering based on the distribution of examples.
com.rapidminer.operator.validation.significance Statistical significance like ANOVA or t-tests.
com.rapidminer.operator.visualization The operators in this package are used for visualization purposes.
com.rapidminer.operator.visualization.dependencies The operators in this package are used for the calculation and the visualization of dependency matrices like those for correlations etc.
com.rapidminer.parameter This package contains classes for handling of operator parameters and specifiying parameter types.
com.rapidminer.parameter.conditions This package contains conditions for ParameterTypes.
com.rapidminer.parameter.value This package contains helper classes for defining different types of parameter values, for example for parameter optimization operators.
com.rapidminer.report This package consists the base classes for the reporting facilities of RapidMiner.
com.rapidminer.repository  
com.rapidminer.repository.db  
com.rapidminer.repository.gui  
com.rapidminer.repository.gui.actions  
com.rapidminer.repository.gui.process  
com.rapidminer.repository.local  
com.rapidminer.repository.remote  
com.rapidminer.repository.resource  
com.rapidminer.test Provides test classes.
com.rapidminer.test_utils  
com.rapidminer.tools Provides helper classes information extraction.
com.rapidminer.tools.att Provides tools for parsing the attribute description file.
com.rapidminer.tools.cipher This package contains tools for de- and encryption as well as for key generation and storage.
com.rapidminer.tools.config  
com.rapidminer.tools.config.gui  
com.rapidminer.tools.container This package consists some basic container classes additionally to those provided by Java.
com.rapidminer.tools.documentation  
com.rapidminer.tools.io  
com.rapidminer.tools.jdbc Provides tools for database access via JDBC connections.
com.rapidminer.tools.jdbc.connection  
com.rapidminer.tools.math Several tool classes for mathematical operations.
com.rapidminer.tools.math.container This package consists some additional containers fulfilling some mathematical properties which could, for example, help to speed up searches.
com.rapidminer.tools.math.distribution This package consists basic classes for the calculation of distributions.
com.rapidminer.tools.math.distribution.kernel This package consists classes for the calculation of kernel distributions.
com.rapidminer.tools.math.function The classes in this package represent basic functions which can, for example, be used as aggregation functions.
com.rapidminer.tools.math.function.aggregation The classes in this package represent basic functions which can, for example, be used as aggregation functions.
com.rapidminer.tools.math.function.expressions The functions defined in this package are used to extend the expression parsing.
com.rapidminer.tools.math.function.expressions.date  
com.rapidminer.tools.math.function.expressions.number  
com.rapidminer.tools.math.function.expressions.text  
com.rapidminer.tools.math.function.window The classes in this package represent window functions like those often used before a fourier transformation.
com.rapidminer.tools.math.kernels This package contains several widely used kernel functions.
com.rapidminer.tools.math.matrix Utitility classes for matrices.
com.rapidminer.tools.math.optimization Optimization schemes which can be used by operators.
com.rapidminer.tools.math.optimization.ec.es Evolutionary Strategies Optimization for real valued optimization problems.
com.rapidminer.tools.math.optimization.ec.pso Particle Swarm Optimization for real valued optimization problems.
com.rapidminer.tools.math.sampling This package consists some basic sampling techniques.
com.rapidminer.tools.math.similarity This package consists similariy and distance measures.
com.rapidminer.tools.math.similarity.divergences This package consists of similariy functions based on divergences.
com.rapidminer.tools.math.similarity.mixed This package consists of mixed similariy functions, i.e. those which can be used on both numerical and nominal dimensions.
com.rapidminer.tools.math.similarity.nominal This package consists of similariy functions for nominal values.
com.rapidminer.tools.math.similarity.numerical This package consists of similariy functions for numerical values only.
com.rapidminer.tools.math.smoothing  
com.rapidminer.tools.math.som Provides class for SOM (Self Organizing Map, Kohonen Net) calculation.
com.rapidminer.tools.metadata  
com.rapidminer.tools.parameter  
com.rapidminer.tools.patterns  
com.rapidminer.tools.plugin Provides tools for RapidMiner plugins.
com.rapidminer.tools.usagestats  
com.rapidminer.tools.xml  

 



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