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| Packages that use com.rapidminer.tools | |
|---|---|
| com.rapidminer | The main packages of RapidMiner. |
| 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.operatormenu | Classes for the operator context menu (new operator, replace operator...). |
| com.rapidminer.gui.processeditor | Contains all experiment editors but the operator tree (which has its own package). |
| 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.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.hyperhyper | This package contains classes for the HyperHyper learner. |
| 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.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.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.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.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.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.jdbc | Provides tools for database access via JDBC connections. |
| com.rapidminer.tools.math | Several tool classes for mathematical operations. |
| 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. |
| Classes in com.rapidminer.tools used by com.rapidminer | |
|---|---|
| LogService
Utility class providing static methods for logging. |
|
| XMLException
Indicates that an exception during XML parsing occurred. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.doc | |
|---|---|
| GroupTree
A group tree manages operator descriptions in a tree like manner. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.example | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.example.set | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.example.table | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.generator | |
|---|---|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.gui | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.gui.operatormenu | |
|---|---|
| GroupTree
A group tree manages operator descriptions in a tree like manner. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.gui.processeditor | |
|---|---|
| GroupTree
A group tree manages operator descriptions in a tree like manner. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| LogService
Utility class providing static methods for logging. |
|
| XMLException
Indicates that an exception during XML parsing occurred. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.clustering | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.clustering.clusterer | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.clustering.clusterer.soft | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features.aggregation | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features.construction | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features.selection | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features.transformation | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.features.weighting | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.generator | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.io | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.associations | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.associations.fpgrowth | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.bayes | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions.kernel | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions.kernel.evosvm | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions.kernel.hyperhyper | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions.kernel.jmysvm.svm | |
|---|---|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.functions.neuralnet | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.igss | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.igss.hypothesis | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.lazy | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.meta | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.rules | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.subgroups | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.tree | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.learner.weka | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.meta | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.meta.branch | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.performance | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.performance.cost | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.postprocessing | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.discretization | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.filter | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.filter.attributes | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.join | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.normalization | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.outlier | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.sampling | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.series | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.series.filter | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.transformation | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.preprocessing.weighting | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.similarity | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.text | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.validation | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.validation.clustering | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.validation.clustering.exampledistribution | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.validation.significance | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.visualization | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.operator.visualization.dependencies | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools | |
|---|---|
| GenericOperatorFactory
Classes which implement this interface must have an empty constructor and must register additional generic operators in the method GenericOperatorFactory.registerOperators(ClassLoader). |
|
| GroupTree
A group tree manages operator descriptions in a tree like manner. |
|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| LogService
Utility class providing static methods for logging. |
|
| MailSender
This is the interface for all mail sending techniques. |
|
| Ontology
Very simple ontology class. |
|
| RandomGenerator
The global random number generator. |
|
| ResourceSource
ResourceSources can be added to the Tools class in order to allow resource loading
for both the RapidMiner core and the plugin. |
|
| StringProperties
This class represents properties accessed by a String value. |
|
| WeightedObject
Class used to represent an object together with a double weight. |
|
| XMLSerialization
This class handles all kinds in- and output write processes for all kinds of objects into and from XML. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.att | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| XMLException
Indicates that an exception during XML parsing occurred. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.jdbc | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.math | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.math.optimization.ec.es | |
|---|---|
| LoggingHandler
Implementations of this interface are able to handle different types of logging. |
|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.math.optimization.ec.pso | |
|---|---|
| RandomGenerator
The global random number generator. |
|
| Classes in com.rapidminer.tools used by com.rapidminer.tools.math.sampling | |
|---|---|
| RandomGenerator
The global random number generator. |
|
|
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