Uses of Interface
com.rapidminer.report.Reportable

Packages that use Reportable

com.rapidminer.datatable	DataTables are the most important data container interface for RapidMiner which are used for all statistics and plotting purposes.
com.rapidminer.example	The data core classes of RapidMiner.
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.graphs	This package contains plotting functionality for graphs and some graph plot implementations for common RapidMiner graphs.
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.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.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.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.tools	Some basic tools for the graphical user interface (GUI) of RapidMiner.
com.rapidminer.gui.tools.dialogs.wizards.dataimport
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.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.features.transformation	Provides operators for feature space transformations like PCA or ICA.
com.rapidminer.operator.learner	Provides learning operators.
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.neuralnet	This package contains a neural net learner based on Joone.
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.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.tree	Provides decision tree learners.
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.normalization	Preprocessing operators used for normalization.
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.report	This package consists the base classes for the reporting facilities of RapidMiner.
com.rapidminer.tools.math	Several tool classes for mathematical operations.

Uses of Reportable in com.rapidminer.datatable

Subinterfaces of Reportable in com.rapidminer.datatable

interface

DataTable A data table that contains Object arrays that record process results, data, etc.

Classes in com.rapidminer.datatable that implement Reportable

class	AbstractDataTable This abstract data table implementation provides some default implementations for data tables like listener handling.
class	DataTableExampleSetAdapter This class can be used to use an example set as data table.
class	DataTableKernelModelAdapter This class can be used to use a kernel model as data table.
class	DataTablePairwiseMatrixExtractionAdapter This class can be used to use all pairs (entries) of a numerical matrix as data table.
class	DataTableSymmetricalMatrixAdapter This class can be used to use a symmetrical matrix as data table.
class	FilteredDataTable This DataTable filters the contained rows using a stack of FilterConditions.
class	SimpleDataTable A simple data table implementation which stores the data itself.

Uses of Reportable in com.rapidminer.example

Classes in com.rapidminer.example that implement Reportable

class

AttributeWeight Helper class containing the name of an attribute and the corresponding weight.

Uses of Reportable in com.rapidminer.gui.attributeeditor

Classes in com.rapidminer.gui.attributeeditor that implement Reportable

class

AttributeEditor A table for creating an attribute description file.

Uses of Reportable in com.rapidminer.gui.graphs

Classes in com.rapidminer.gui.graphs that implement Reportable

class

GraphViewer<V,E> The basic graph viewer component for graphs.

Uses of Reportable in com.rapidminer.gui.plotter

Subinterfaces of Reportable in com.rapidminer.gui.plotter

interface

Plotter An interface for all data available plotters.

Classes in com.rapidminer.gui.plotter that implement Reportable

class	AndrewsCurves This idea of coding and representing multivariate data by curves was suggested by Andrews (1972).
class	BoundDiagram A bound diagram used for displaying attribute weights.
class	ColorQuartileMatrixPlotter A quartil matrix plotter which uses the ColorQuartilePlotter for each of the plots.
class	ColorQuartilePlotter This plotter can be used to create colorized quartile plots for one of the columns.
class	DensityPlotter The density plotter does not only plot the single plot points but also tries to calculate a color for all pixels in between.
class	GridVizPlotter GridViz is a simple extension of RadViz that places the dimensional anchors on a rectangular grid instead of using the perimeter of a circle.
class	HintonDiagram Presents values by boxes more filled the higher the values are.
class	LabelRotatingPlotterAdapter
class	LocalNormalizationPlotterAdapter
class	ParallelPlotter This plotter plots the data in parallel coordinates.
class	PlotterAdapter This adapter class can be used for simple plotter implementation which only need to overwrite the methods they need.
class	QuartilePlotter This plotter can be used to create quartile plots for several columns of the data table.
class	RadVizPlotter A Radial coordinate Visualization, hence the name RadViz.
class	RangeablePlotterAdapter Plotter extending this adapter must be able to set their ranges during plotting if the dimensions name is registered here.
class	ScatterMatrixPlotter A scatter plot matrix which uses the ScatterPlotter for each of the plots.
class	ScatterPlotter The color plotter can display up to two dimensions and uses color schemes to indicate the third dimension.
class	SurveyPlotter A Survey plot is a set of vertical histograms.

Uses of Reportable in com.rapidminer.gui.plotter.charts

Classes in com.rapidminer.gui.plotter.charts that implement Reportable

class	Abstract2DChartPlotter This is the abstract superclass for scatter plotter based on JFreeChart.
class	AbstractPieChartPlotter This is the main pie chart plotter.
class	BarChartPlotter This is the main bar chart plotter.
class	BlockChartPlotter This is the block chart plotter based on JFreeChart.
class	BubbleChartPlotter This is the bubble chart plotter.
class	DeviationChartPlotter This is the deviation chart plotter.
class	DistributionPlotter This plotter can be used in order to plot a distribution model like the one which can be delivered by NaiveBayes.
class	HistogramChart This is the histogram plotter based on JFreeCharts.
class	HistogramColorChart This is the histogram color plotter based on JFreeCharts.
class	MultipleScatterPlotter This is a multiple scatter plotter.
class	MultipleSeriesChartPlotter This is the multiple series chart plotter.
class	ParallelPlotter2 This is the new parallel plotter.
class	ParetoChartPlotter This is the Pareto chart plotter.
class	PieChart2DPlotter A simple 2D pie chart plotter.
class	PieChart3DPlotter A simple 3D pie chart plotter.
class	RingChartPlotter A simple 2D ring chart plotter.
class	ScatterPlotter2 This is the scatter plotter based on JFreeChart.
class	SeriesChartPlotter This is the series chart plotter.
class	StackedBarChartPlotter This is a stacked bar chart plotter.

Uses of Reportable in com.rapidminer.gui.plotter.mathplot

Classes in com.rapidminer.gui.plotter.mathplot that implement Reportable

class	BoxPlot2D This plotter can be used to create 2D box plots.
class	BoxPlot3D This plotter can be used to create 3D box plots.
class	JMathPlotter The abstract super class for all plotters using the JMathPlot library.
class	JMathPlotter2D The abstract super class for all 2D plotters using the JMathPlot library.
class	JMathPlotter3D The abstract super class for all 3D plotters using the JMathPlot library.
class	ScatterPlot3D This plotter can be used to create 3D scatter plots.
class	ScatterPlot3DColor This plotter can be used to create 3D scatter plots where a 4th dimension can be shown by using a color scale.
class	SticksPlot2D This plotter can be used to create 2D bar plots.
class	SticksPlot3D This plotter can be used to create 3D bar plots.
class	SurfacePlot3D This plotter can be used to create 3D surface plots of equidistant data.

Uses of Reportable in com.rapidminer.gui.plotter.som

Classes in com.rapidminer.gui.plotter.som that implement Reportable

class

SOMPlotter This is the main class for the SOMPlotter.

Uses of Reportable in com.rapidminer.gui.properties

Classes in com.rapidminer.gui.properties that implement Reportable

class	BasicPropertyTable This is a basic property table which can be simply build from a Parameters object.
class	DefaultPropertyTable This abstract class implements some methods which should be sufficient in almost all cases of the RapidMiner GUI.
class	EnumerationPropertyTable For ParameterTypeList the parameter values are parameter lists themselves.
class	ListPropertyTable For ParameterTypeList the parameter values are parameter lists themselves.
class	MatrixPropertyTable For ParameterTypeMatrix
class	OperatorPropertyTable This is the most important implementation of PropertyTable.
class	PropertyTable A property table is a table for editing parameters of operators or other properties (like program settings).
class	WizardPropertyTable With a WizardPropertyTable one can edit (a subset of) parameters of all operators of the process in one place.

Uses of Reportable in com.rapidminer.gui.renderer

Classes in com.rapidminer.gui.renderer that implement Reportable

static class	AbstractDataTableTableRenderer.DefaultTableable
static class	AbstractTableModelTableRenderer.DefaultTableable This is the default base class for all renderers having already a TableModel.
class	DefaultComponentRenderable The default component renderer.
class	DefaultReadable A simple default readable just build from a given text.

Methods in com.rapidminer.gui.renderer that return Reportable

abstract Reportable	NonGraphicalRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer)
Reportable	DefaultTextRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer)
Reportable	CollectionRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer)
Reportable	AbstractTableModelTableRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer)
Reportable	AbstractDataTableTableRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer)
Reportable	Renderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	NonGraphicalRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	DefaultComponentRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	AverageVectorRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	AnnotationsRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	AbstractGraphRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	AbstractDataTablePlotterRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)

Uses of Reportable in com.rapidminer.gui.renderer.cluster

Methods in com.rapidminer.gui.renderer.cluster that return Reportable

Reportable	ClusterModelFolderRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	ClusterModelDendogrammRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	ClusterModelCentroidPlotRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)

Uses of Reportable in com.rapidminer.gui.renderer.models

Classes in com.rapidminer.gui.renderer.models that implement Reportable

static class

LocalPolynomialRegressionModelTableRenderer.LocalPolynomialRegressionModelDataTable

Methods in com.rapidminer.gui.renderer.models that return Reportable

Reportable	SimpleNeuralNetGraphRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	NeuralNetGraphRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	MetaModelRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	ImprovedNeuralNetModelRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	EigenvectorModelVariancePlotRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	DistributionModelPlotRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	DelegationModelRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)

Uses of Reportable in com.rapidminer.gui.renderer.performance

Methods in com.rapidminer.gui.renderer.performance that return Reportable

Reportable	WeightedMultiClassPerformanceRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	TTestSignificanceTestRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	ROCComparisonRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	PerformanceVectorRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	MultiClassificationPerformanceRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	BinaryClassificationPerformanceRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	AreaUnderCurveRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	AnovaCalculatorViewerRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)

Uses of Reportable in com.rapidminer.gui.renderer.similarity

Methods in com.rapidminer.gui.renderer.similarity that return Reportable

Reportable	SimilarityKDistanceRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	SimilarityHistogramRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)

Uses of Reportable in com.rapidminer.gui.renderer.visualization

Methods in com.rapidminer.gui.renderer.visualization that return Reportable

Reportable	SOMModelVisualizationRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)
Reportable	LiftChartRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int width, int height)
Reportable	AnovaMatrixRenderer.createReportable(java.lang.Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight)

Uses of Reportable in com.rapidminer.gui.tools

Classes in com.rapidminer.gui.tools that implement Reportable

class

ExtendedJTable This class extends a JTable in a way that editing is handled like it is expected, i.e.

Uses of Reportable in com.rapidminer.gui.tools.dialogs.wizards.dataimport

Classes in com.rapidminer.gui.tools.dialogs.wizards.dataimport that implement Reportable

class

DataEditor

Uses of Reportable in com.rapidminer.gui.tools.table

Classes in com.rapidminer.gui.tools.table that implement Reportable

class

EditableHeaderJTable Deprecated. This class was never used anywhere

Uses of Reportable in com.rapidminer.gui.viewer

Classes in com.rapidminer.gui.viewer that implement Reportable

class	ANOVAMatrixViewerTable Can be used to display (parts of) an ANOVA matrix by means of a JTable.
class	AverageVectorViewer
class	ClusterTreeVisualization Visualizes clusters as a bookmark like tree.
class	ConfusionMatrixViewer This viewer class can be used to display performance criteria based on a multi class confusion matrix.
class	ConfusionMatrixViewerTable Can be used to display (parts of) a confusion matrix by means of a JTable.
class	DataTableColumnEditTable Can be used to display (parts of) a DataTable by means of a JTable while presenting additional columns to enter arbitrary values.
class	DataTableViewer Can be used to display (parts of) the data by means of a JTable.
class	DataTableViewerTable Can be used to display (parts of) a DataTable by means of a JTable.
class	DataViewer Can be used to display (parts of) the data by means of a JTable.
class	DataViewerTable Can be used to display (parts of) the data by means of a JTable.
class	DendrogramPlotter Plots a dendrogram of a given cluster model.
class	MetaDataViewer Can be used to display (parts of) the meta data by means of a JTable.
class	MetaDataViewerTable Can be used to display (parts of) the meta data by means of a JTable.
class	ROCChartPlotter This is the ROC chart plotter.
class	ROCViewer This viewer can be used to show the ROC curve for the given ROC data.
class	SimilarityKDistanceVisualization A k-distance visualization for similarities.
class	SimilarityTable The table for the similarity viewer.

Uses of Reportable in com.rapidminer.gui.wizards

Classes in com.rapidminer.gui.wizards that implement Reportable

class	ExampleSourceConfigurationWizardAttributeTypeTable This table shows only the attribute names and the attribute types (regular or special).
class	ExampleSourceConfigurationWizardDataTable This class display a small data view corresponding on the current wizard settings.
class	ExampleSourceConfigurationWizardValueTypeTable This table shows only the attribute names and the attribute value types.

Uses of Reportable in com.rapidminer.operator

Subinterfaces of Reportable in com.rapidminer.operator

interface	Model Model is the interface for all objects which change a data set.
interface	ViewModel The view model is typically used for preprocessing models.

Classes in com.rapidminer.operator that implement Reportable

class	AbstractModel Abstract model is the superclass for all objects which change a data set.
class	GroupedModel This model is a container for all models which should be applied in a sequence.

Uses of Reportable in com.rapidminer.operator.clustering

Classes in com.rapidminer.operator.clustering that implement Reportable

class	CentroidClusterModel This is the superclass for all centroid based cluster models and supports assigning unseen examples to the nearest centroid.
class	ClusterModel This class is the standard flat cluster model, using the example ids to remember which examples were assigned to which cluster.
class	FlatFuzzyClusterModel This class represents a stadard implementation of a flat, fuzzy clustering.

Uses of Reportable in com.rapidminer.operator.features.transformation

Classes in com.rapidminer.operator.features.transformation that implement Reportable

class	AbstractEigenvectorModel Abstract class for all eigenvector based operators providing methods for the renderer.
class	DimensionalityReducerModel The model for the generic dimensionality reducer.
class	FastICAModel This is the transformation model of the FastICA.
class	GHAModel This is the transformation model of the GHA The number of components is initially specified by the GHA.
class	KernelPCAModel The model for the Kernel-PCA.
class	PCAModel This is the transformation model of the principal components analysis.
class	SOMDimensionalityReductionModel The model for the SOM dimensionality reduction.

Uses of Reportable in com.rapidminer.operator.learner

Subinterfaces of Reportable in com.rapidminer.operator.learner

interface

FormulaProvider This interface indicates that the model is able to produce a human and machine readable formula which can then be parsed by other programs and used for predictions.

Classes in com.rapidminer.operator.learner that implement Reportable

class	PredictionModel PredictionModel is the superclass for all objects generated by learners, i.e.
class	SimpleBinaryPredictionModel A model that can be applied to an example set by applying it to each example separately.
class	SimplePredictionModel A model that can be applied to an example set by applying it to each example separately.
class	UpdateablePredictionModel This is an abstract class for all updateable prediction models.

Uses of Reportable in com.rapidminer.operator.learner.bayes

Classes in com.rapidminer.operator.learner.bayes that implement Reportable

class	DiscriminantModel This is the model for discriminant analysis based learning schemes.
class	DistributionModel DistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.
class	KernelDistributionModel KernelDistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.
class	SimpleDistributionModel DistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.

Uses of Reportable in com.rapidminer.operator.learner.functions

Classes in com.rapidminer.operator.learner.functions that implement Reportable

class	FastMarginModel This is the model of the fast margin learner which learns a linear SVM in linear time.
class	HyperplaneModel This model is a separating hyperplane for two classes.
class	LinearRegressionModel The model for linear regression.
class	LogisticRegressionModel The model determined by the LogisticRegression operator.
class	PolynomialRegressionModel The model for the polynomial regression.
class	SeeminglyUnrelatedRegressionModel This is the model of a SUR regression.
class	VectorRegressionModel The model for vector linear regression.

Uses of Reportable in com.rapidminer.operator.learner.functions.kernel

Classes in com.rapidminer.operator.learner.functions.kernel that implement Reportable

class	AbstractMySVMModel The abstract superclass for the SVM models by Stefan Rueping.
class	GPModel A model learned by the GPLearner.
class	JMySVMModel The implementation for the mySVM model (Java version) by Stefan Rueping.
class	KernelLogisticRegressionModel The model determined by the KernelLogisticRegression operator.
class	KernelModel This is the abstract model class for all kernel models.
class	LibSVMModel A model generated by the libsvm by Chih-Chung Chang and Chih-Jen Lin.
class	LinearMySVMModel The abstract superclass for the SVM models by Stefan Rueping.
class	MyKLRModel The model for the MyKLR learner by Stefan Rueping.
class	RVMModel A model generated by the RVMLearner.

Uses of Reportable in com.rapidminer.operator.learner.functions.kernel.evosvm

Classes in com.rapidminer.operator.learner.functions.kernel.evosvm that implement Reportable

class

EvoSVMModel The model for the evolutionary SVM.

Uses of Reportable in com.rapidminer.operator.learner.functions.kernel.hyperhyper

Classes in com.rapidminer.operator.learner.functions.kernel.hyperhyper that implement Reportable

class

HyperModel The model for the HyperHyper implementation.

Uses of Reportable in com.rapidminer.operator.learner.functions.neuralnet

Classes in com.rapidminer.operator.learner.functions.neuralnet that implement Reportable

class	ImprovedNeuralNetModel The model of the improved neural net.
class	ImprovedNeuralNetVisualizer Visualizes the improved neural net.
class	NeuralNetModel This is the model for the neural net learner.
class	NeuralNetVisualizer Visualizes a neural net.
class	SimpleNeuralNetModel This is the model for the simple neural net learner.
class	SimpleNeuralNetVisualizer Visualizes a simple neural net.

Uses of Reportable in com.rapidminer.operator.learner.igss.hypothesis

Classes in com.rapidminer.operator.learner.igss.hypothesis that implement Reportable

class

GSSModel Wrapper class for rules found by the Iterating GSS algorithm.

Uses of Reportable in com.rapidminer.operator.learner.lazy

Classes in com.rapidminer.operator.learner.lazy that implement Reportable

class	AttributeBasedVotingModel Average model simply calculates the average of the attributes as prediction.
class	AttributeDefaultModel This variant of the DefaultModel sets the prediction according to another attribute given during learn time.
class	DefaultModel The default model sets the prediction of all examples to the mode value in case of nominal labels and to the average value in case of numerical labels.
class	KNNClassificationModel An implementation of a knn model.
class	KNNRegressionModel An implementation of a knn model used for regression

Uses of Reportable in com.rapidminer.operator.learner.local

Classes in com.rapidminer.operator.learner.local that implement Reportable

class

LocalPolynomialRegressionModel

Uses of Reportable in com.rapidminer.operator.learner.meta

Classes in com.rapidminer.operator.learner.meta that implement Reportable

class	AdaBoostModel A model for the RapidMiner AdaBoost implementation.
class	AdditiveRegressionModel The model created by an AdditiveRegression meta learner.
class	BaggingModel The model for the internal Bagging implementation.
class	BayBoostModel A model for the Bayesian Boosting algorithm by Martin Scholz.
class	Binary2MultiClassModel This operator uses an inner learning scheme which is able to perform predictions for binary or binominal classification problems and learns a set of these binary models in order to use this set for a given data set with more than two classes.
class	HierarchicalModel Deprecated.
class	HierarchicalMultiClassModel This model of the hierarchical learner.
class	MetaCostModel This class is associated to the MetaCost operator and supports the evaluation procedures of the MetaCost method.
class	MultiModelByRegression MultiModels are used for multi class learning tasks.
class	RelativeRegressionModel The model for the relative regression meta learner.
class	SDEnsemble A subgroup discovery model.
class	SimpleVoteModel A simple vote model.
class	StackingModel This class is the model build by the Stacking operator.
class	ThresholdModel This model is created by the CostBasedThresholdLearner.
class	TransformedRegressionModel Model for TransformedRegression.

Uses of Reportable in com.rapidminer.operator.learner.rules

Classes in com.rapidminer.operator.learner.rules that implement Reportable

class	ConjunctiveRuleModel Each object of this class represents a conjunctive rule with boolean target and nominal attributes.
class	RuleModel The basic rule model.

Uses of Reportable in com.rapidminer.operator.learner.subgroups

Classes in com.rapidminer.operator.learner.subgroups that implement Reportable

class

RuleSet A model consisting of rules which are scored by utility values.

Uses of Reportable in com.rapidminer.operator.learner.tree

Classes in com.rapidminer.operator.learner.tree that implement Reportable

static class	MultiCriterionDecisionStumps.DecisionStumpModel
class	RandomForestModel This model simply extends the SimpleVoteModel to avoid naming problems.
class	TreeModel The tree model is the model created by all decision trees.

Uses of Reportable in com.rapidminer.operator.performance

Classes in com.rapidminer.operator.performance that implement Reportable

class	AbsoluteError The absolute error: Sum(|label-predicted|)/#examples.
class	AreaUnderCurve This criterion calculates the area under the ROC curve.
static class	AreaUnderCurve.Neutral
static class	AreaUnderCurve.Optimistic
static class	AreaUnderCurve.Pessimistic
class	BinaryClassificationPerformance This class encapsulates the well known binary classification criteria precision and recall.
class	CorrelationCriterion Computes the empirical corelation coefficient 'r' between label and prediction.
class	CrossEntropy Calculates the cross-entropy for the predictions of a classifier.
class	EstimatedPerformance This class is used to store estimated performance values before or even without the performance test is actually done using a test set.
class	LenientRelativeError The average relative error in a lenient way of calculation: Sum(|label-predicted|/max(|label|, |predicted|))/#examples.
class	LogisticLoss The logistic loss of a classifier, defined as the average over all ln(1 + exp(-y * f(x)))
class	Margin The margin of a classifier, defined as the minimal confidence for the correct label.
class	MDLCriterion Measures the length of an example set (i.e. the number of attributes).
class	MeasuredPerformance Superclass for performance citeria that are actually measured (not estimated).
class	MinMaxCriterion This criterion should be used as wrapper around other performance criteria (see MinMaxWrapper).
class	MultiClassificationPerformance Measures the accuracy and classification error for both binary classification problems and multi class problems.
class	NormalizedAbsoluteError Normalized absolute error is the total absolute error normalized by the error simply predicting the average of the actual values.
class	PerformanceCriterion Each PerformanceCriterion contains a method to compute this criterion on a given set of examples, each which has to have a real and a predicted label.
class	PredictionAverage Returns the average value of the prediction.
class	RankCorrelation Computes either the Spearman (rho) or Kendall (tau-b) rank correlation between the actual label and predicted values of an example set.
class	RelativeError The average relative error: Sum(|label-predicted|/label)/#examples.
class	RootMeanSquaredError The root-mean-squared error.
class	RootRelativeSquaredError Relative squared error is the total squared error made relative to what the error would have been if the prediction had been the average of the absolute value.
class	SimpleClassificationError This class calculates the classification error without determining the complete contingency table.
class	SimpleCriterion Simple criteria are those which error can be counted for each example and can be averaged by the number of examples.
class	SoftMarginLoss The soft margin loss of a classifier, defined as the average over all 1 - y * f(x).
class	SquaredCorrelationCriterion Computes the square of the empirical corellation coefficient 'r' between label and prediction.
class	SquaredError The squared error.
class	StrictRelativeError The average relative error in a strict way of calculation: Sum(|label-predicted|/min(|label|, |predicted|))/#examples.
class	WeightedMultiClassPerformance Measures the weighted mean of all per class recalls or per class precisions based on the weights defined in the performance evaluator.

Uses of Reportable in com.rapidminer.operator.performance.cost

Classes in com.rapidminer.operator.performance.cost that implement Reportable

class	ClassificationCostCriterion This performance Criterion works with a given cost matrix.
class	RankingCriterion This performance Criterion works with given ranking costs.

Uses of Reportable in com.rapidminer.operator.postprocessing

Classes in com.rapidminer.operator.postprocessing that implement Reportable

class

PlattScalingModel A model that contains a boolean classifier and a scaling operation that turns confidence scores into probability estimates.

Uses of Reportable in com.rapidminer.operator.preprocessing

Classes in com.rapidminer.operator.preprocessing that implement Reportable

class	NoiseModel
class	PreprocessingModel Returns a more appropriate result icon.

Uses of Reportable in com.rapidminer.operator.preprocessing.discretization

Classes in com.rapidminer.operator.preprocessing.discretization that implement Reportable

class

DiscretizationModel The generic discretization model.

Uses of Reportable in com.rapidminer.operator.preprocessing.filter

Classes in com.rapidminer.operator.preprocessing.filter that implement Reportable

class	Dictionary Replaces strings by interpreting the second example set as a dictionary.
class	NominalToBinominalModel This model maps the values of all nominal values to binary attributes.
class	ValueReplenishmentModel This class provides the preprocessing model for all value replacing operators.

Uses of Reportable in com.rapidminer.operator.preprocessing.normalization

Classes in com.rapidminer.operator.preprocessing.normalization that implement Reportable

class	AbstractNormalizationModel
class	IQRNormalizationModel This is the normalization model for the IQR normalization method.
class	MinMaxNormalizationModel A simple model which can be used to transform all regular attributes into a value range between the given min and max values.
class	ProportionNormalizationModel This model is able to transform the data in a way, every transformed attribute of an example contains the proportion of the total sum of this attribute over all examples.
class	ZTransformationModel This model performs a z-Transformation on the given example set.

Uses of Reportable in com.rapidminer.operator.validation.significance

Classes in com.rapidminer.operator.validation.significance that implement Reportable

static class

TTestSignificanceTestOperator.TTestSignificanceTestResult The result for a paired t-test.

Uses of Reportable in com.rapidminer.operator.visualization

Classes in com.rapidminer.operator.visualization that implement Reportable

class	LiftParetoChart This object can usually not be passed to other operators but can simply be used for the inline visualization of a Lift Pareto chart (without a dialog).
class	SOMModelPlotter This class uses the SOM Plotter for displaying the classification behavior of every model.

Uses of Reportable in com.rapidminer.report

Subinterfaces of Reportable in com.rapidminer.report

interface	Readable Indicates a reportable object which is readable, i.e. which delivers a string representation.
interface	Renderable This interface provides methods for exporting visual components.
interface	Tableable This interface provides methods for exporting tables.

Methods in com.rapidminer.report with parameters of type Reportable

void	ReportStream.append(java.lang.String name, Reportable reportable, int width, int height) This method will cause the stream to append a readable to the stream.

Uses of Reportable in com.rapidminer.tools.math

Classes in com.rapidminer.tools.math that implement Reportable

class

Averagable Superclass for all objects which can be averaged.