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Packages |
| 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.example.test |
Test classes for classes in the example package. |
| 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.dialog.actions |
The actions associated with some dialogs. |
| com.rapidminer.gui.dialog.boxviewer |
The box viewer which is another graphical representation of RapidMiner process setups. |
| 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.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.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.actions |
This package contains the actions for the process editors. |
| com.rapidminer.gui.properties |
This package consists of all classes for property (parameter) editing, i.e. |
| com.rapidminer.gui.renderer |
This package consists the base classes for the renderers / visualization components of RapidMiner components and results. |
| 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.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.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.syntax |
This package contains a text editor supporting syntax highlighting. |
| com.rapidminer.gui.viewer |
This package contain viewer classes for some standard data types like ExampleSets, DataTables etc. |
| com.rapidminer.gui.wizards |
This package contain wizard classes for configurating operators. |
| com.rapidminer.operator |
Provides operators for machine learning and data pre-processing. |
| 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.condition |
Operator conditions are used to ensure that inner operators of an OperatorChain are correctly embedded. |
| 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.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.test |
Contains tests for some of the RVM classes. |
| com.rapidminer.operator.learner.functions.kernel.rvm.util |
Contains util classes for the Relevance Vector Machine package. |
| 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.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.weka |
Operators which encapsulate the learning schemes provided by Weka. |
| 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.performance |
Provides performance evaluating operators and performance criteria. |
| com.rapidminer.operator.performance.cost |
This package contains cost-based performance evaluations. |
| com.rapidminer.operator.performance.test |
Test classes for the performance measures. |
| 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.series |
Containing preprocessing operators for (time) series handling. |
| com.rapidminer.operator.preprocessing.series.filter |
Containing preprocessing operators for (time) series filtering. |
| com.rapidminer.operator.preprocessing.transformation |
This package contains some simple operators for basic transformations like grouping, aggregation and pivotization. |
| com.rapidminer.operator.preprocessing.weighting |
This package methods for the weighting of examples. |
| com.rapidminer.operator.similarity |
Basic framework for similarities. |
| com.rapidminer.operator.text |
This package contains operators and objects to work on texts. |
| 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.test |
Provides test classes. |
| com.rapidminer.tools |
Provides tools for RapidMiner like parsers for the input files. |
| 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.container |
This package consists some basic container classes additionally to those provided by Java. |
| com.rapidminer.tools.help |
The online help service for RapidMiner. |
| com.rapidminer.tools.jdbc |
Provides tools for database access via JDBC connections. |
| com.rapidminer.tools.log |
Provides tool classes for logging, especially for formatting the log messages. |
| 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.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 |
This package consists classes for kernel based smoothing functions. |
| com.rapidminer.tools.math.som |
Provides class for SOM (Self Organizing Map, Kohonen Net) calculation. |
| com.rapidminer.tools.plugin |
Provides tools for RapidMiner plugins. |