Search Java Classes and Packages
#Demo Classes and Interfaces - 478 results found.
| Name | Description | Type | Package | Framework |
| IncludeModel | Class | org.apache.struts2.views.freemarker.tags | Apache Struts | |
| URLDecodeModule | This module provides functionality for converting a String from the application/x-www-form-urlencoded MIME format. | Class | org.apache.cocoon.components.modules.input | Apache Cocoon |
| URLEncodeModule | This module provides functionality for converting a String to the application/x-www-form-urlencoded MIME format. | Class | org.apache.cocoon.components.modules.input | Apache Cocoon |
| DOMNodeModel | A convenient wrapper class for wrapping a Node in the W3C DOM API. | Class | freemarker.template.utility | FreeMarker Template |
| NodeModel | A base class for wrapping a W3C DOM Node as a FreeMarker template model. | Class | freemarker.ext.dom | FreeMarker Template |
| TemplateNodeModel | "node" template language data type: an object that is a node in a tree. | Interface | freemarker.template | FreeMarker Template |
| CompleteGraphDemo | Class | org.jgrapht.demo | JGraph | |
| JGraphAdapterDemo | A demo applet that shows how to use JGraph to visualize JGraphT graphs. | Class | org.jgrapht.demo | JGraph |
| JGraphXAdapterDemo | A demo applet that shows how to use JGraphX to visualize JGraphT graphs. | Class | org.jgrapht.demo | JGraph |
| PerformanceDemo | A simple demo to test memory and CPU consumption on a graph with 3 million NOTE: To run this demo you may need to increase the JVM max mem size. | Class | org.jgrapht.demo | JGraph |
| AddNodeDemo | Demonstrates visualization of a graph being actively updated. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| AnimatingAddNodeDemo | A variation of AddNodeDemo that animates transitions between graph states. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| AnnotationsDemo | Demonstrates annotation of graph elements. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| BalloonLayoutDemo | Demonstrates the visualization of a Tree using TreeLayout and BalloonLayout. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| ClusteringDemo | This simple app demonstrates how one can use our algorithms and visualization libraries in unison. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| DrawnIconVertexDemo | A demo that shows drawn Icons as verticesConstructor SummaryDrawnIconVertexDemo() | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| EdgeLabelDemo | Demonstrates jung support for drawing edge labels that can be positioned at any point along the edge, and can | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| GraphEditorDemo | Shows how to create a graph editor with JUNG. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| GraphFromGraphMLDemo | Demonstrates loading (and visualizing) a graph from a GraphML file. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| GraphZoomScrollPaneDemo | Demonstrates the use of GraphZoomScrollPane. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| ImageEdgeLabelDemo | Demonstrates the use of images on graph edge labels. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| InternalFrameSatelliteViewDemo | Similar to the SatelliteViewDemo, but using JInternalFrame. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| L2RTreeLayoutDemo | A variant of TreeLayoutDemo that rotates the view by 90 degrees from the default orientation. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| LensDemo | Demonstrates the use of HyperbolicTransform and MagnifyTransform | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| LensVertexImageShaperDemo | Demonstrates the use of images to represent graph vertices. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| LensVertexImageShaperDemo .PickWithIconListener | Constructor SummaryLensVertexImageShaperDemo. | Class | edu.uci.ics.jung.samples.LensVertexImageShaperDemo | SourceForge Jung |
| MinimumSpanningTreeDemo | Demonstrates a single graph with 3 layouts in 3 views. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| MultiViewDemo | Demonstrates 3 views of one graph in one model with one layout. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| PersistentLayoutDemo | Demonstrates the use of PersistentLayout and PersistentLayoutImpl. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| PluggableRendererDemo | Shows off some of the capabilities of PluggableRenderer. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| RadialTreeLensDemo | Shows a RadialTreeLayout view of a Forest. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| SatelliteViewDemo | Demonstrates the construction of a graph visualization with a main and a satellite view. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| ShortestPathDemo | Demonstrates use of the shortest path algorithm and visualization of theAuthor:danyelfSee Also:Serialized Form | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| SubLayoutDemo | Demonstrates the AggregateLayout class. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| TreeCollapseDemo | Demonstrates "collapsing"/"expanding" of a tree's subtrees. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| TreeLayoutDemo | Demonsrates TreeLayout and RadialTreeLayout. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| TwoModelDemo | Demonstrates a single graph with 2 layouts in 2 views. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| UnicodeLabelDemo | A demo that shows flag images as vertices, and uses unicode to render vertex labels. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VertexCollapseDemo | A demo that shows how collections of vertices can be collapsed into a single vertex. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VertexCollapseDemoWithLayouts | A demo that shows how collections of vertices can be collapsed into a single vertex. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VertexImageShaperDemo | Demonstrates the use of images to represent graph vertices. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VertexImageShaperDemo .DemoVertexIconShapeTransformer | this class exists only to provide settings to turn on/off shapes and image fill In a real application, use VertexIconShapeTransformer instead. | Class | edu.uci.ics.jung.samples.VertexImageShaperDemo | SourceForge Jung |
| VertexImageShaperDemo .DemoVertexIconTransformer | this class exists only to provide settings to turn on/off shapes and image fill In a real application, use DefaultVertexIconTransformer instead. | Class | edu.uci.ics.jung.samples.VertexImageShaperDemo | SourceForge Jung |
| VertexImageShaperDemo .PickWithIconListener | When Vertices are picked, add a checkmark icon to the imager. | Class | edu.uci.ics.jung.samples.VertexImageShaperDemo | SourceForge Jung |
| VertexImageShaperDemo .VertexStringerImpl | A simple implementation of VertexStringer that gets Vertex labels from a Map | Class | edu.uci.ics.jung.samples.VertexImageShaperDemo | SourceForge Jung |
| VertexLabelAsShapeDemo | This demo shows how to use the vertex labels themselves as the vertex shapes. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VertexLabelPositionDemo | Demonstrates vertex label positioning controlled by the user. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| VisualizationImageServerDemo | Demonstrates VisualizationImageServer. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| WorldMapGraphDemo | Shows a graph overlaid on a world map image. | Class | edu.uci.ics.jung.samples | SourceForge Jung |
| CodeModelClassFactory | Create new JDefinedClass and report class collision errors, This is just a helper class that simplifies the class name collision | Class | sun.tools.internal.xjc.util | Code Trails |
| Demo | Class | org.apache.calcite | Calcite | |
| HiveParser .alterProtectModeMode_return | Class | org.apache.hadoop.hive.ql.parse.HiveParser | Apache Hive | |
| GraphicsNodeMouseAdapter | An abstract adapter class for receiving graphics node mouse events. | Class | org.apache.batik.gvt.event | Apache FOP Batik |
| GraphicsNodeMouseEvent | An event which indicates that a mouse action occurred in a graphics node. | Class | org.apache.batik.gvt.event | Apache FOP Batik |
| GraphicsNodeMouseListener | The listener interface for receiving graphics node mouse events. | Interface | org.apache.batik.gvt.event | Apache FOP Batik |
| GraphicsNodeMouseWheelEvent | An event which indicates that a mouse whwel action occurred in a graphicsSee Also:Serialized Form | Class | org.apache.batik.gvt.event | Apache FOP Batik |
| GraphicsNodeMouseWheelListener | The listener interface for receiving graphics node mouse wheel events. | Interface | org.apache.batik.gvt.event | Apache FOP Batik |
| DependencyParserDemo | Demonstrates how to first use the tagger, then use the NN dependency parser. | Class | edu.stanford.nlp.parser.nndep.demo | Stanford Parser |
| MulticoreWrapperDemo | Illustrates simple multithreading of threadsafe objects. | Class | edu.stanford.nlp.tagger.maxent.documentation | Stanford Parser |
| NERDemo | This is a demo of calling CRFClassifier programmatically. | Class | edu.stanford.nlp.ie.demo | Stanford Parser |
| ExportDemo | A simple demo of the graphics export libraryVersion:$Id: ExportDemo. | Class | org.freehep.demo.graphics | FreeHep |
| BarChartDemo1 | A simple demonstration application showing how to create a bar chart. | Class | org.jfree.chart.demo | JFreeChart |
| BarChartFXDemo1 | A demo showing the display of JFreeChart within a JavaFX application. | Class | org.jfree.chart.fx.demo | JFreeChart |
| PieChartDemo1 | A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset. | Class | org.jfree.chart.demo | JFreeChart |
| PieChartFXDemo1 | A pie chart demo in JavaFX. | Class | org.jfree.chart.fx.demo | JFreeChart |
| TimeSeriesChartDemo1 | An example of a time series chart. | Class | org.jfree.chart.demo | JFreeChart |
| TimeSeriesChartFXDemo1 | A demo showing the display of JFreeChart within a JavaFX application. | Class | org.jfree.chart.fx.demo | JFreeChart |
| WikiNodeModel | T h e b a s e m o d e l i n t e r f a c e f o r t h e W i k i N o d e s e r v i c e . | Interface | com.liferay.portlet.wiki.model | Liferay Portal |
| AIDemo | This class is meant to be an illustrative example of how to use the adjudication routines to evaluate moves, as might be needed | Class | dip | JDIP |
| JAXBUtils .JCodeModel | Interface | org.apache.cxf.common.jaxb | Apache CXF | |
| NodeMovedTest | Tests if Session. | Class | org.apache.jackrabbit.test.api.observation | Apache JackRabbit |
| RpcPersistentEphemeralNodeMode | enum RpcPersistentEphemeralNodeModeEnum Constant Summary | Class | org.apache.curator.x.rpc.idl.structs | Apache Curator |
| DemoHTMLParser | Simple HTML Parser extracting title, meta tags, and body text that is based on NekoHTML. | Class | org.apache.lucene.benchmark.byTask.feeds | Apache Lucene |
| DemoHTMLParser .Parser | Class | org.apache.lucene.benchmark.byTask.feeds.DemoHTMLParser | Apache Lucene | |
| FormBasedXmlQueryDemo | Example servlet that uses the XML queryparser. | Class | org.apache.lucene.demo.xmlparser | Apache Lucene |
| DependencyParserDemo | Demonstrates how to first use the tagger, then use the NN dependency parser. | Class | edu.stanford.nlp.parser.nndep.demo | JavaNlp |
| MulticoreWrapperDemo | Illustrates simple multithreading of threadsafe objects. | Class | edu.stanford.nlp.tagger.maxent.documentation | JavaNlp |
| NERDemo | This is a demo of calling CRFClassifier programmatically. | Class | edu.stanford.nlp.ie.demo | JavaNlp |
| CRDemoMechanism | Provides equivalent security to PLAIN but demos use of Connection. | Class | com.rabbitmq.client.impl | RabbitMQ |
| CRDemoMechanism .CRDemoSaslConfig | Class | com.rabbitmq.client.impl.CRDemoMechanism | RabbitMQ | |
| Demo | This class is an applet demonstration of the EDF. | Class | Fiji | |
| Demodulation | Class | FlowJ | Fiji | |
| NEWTDemoListener | Class | com.jogamp.newt.opengl.util | JogAmp | |
| AbstractHistogramNodeModel | Class | org.knime.base.node.viz.histogram.node | KNIME | |
| AbstractNormalizerPMMLNodeModel | The NormalizeNodeModel uses the Normalizer to normalize the input DataTable. | Class | org.knime.base.node.preproc.pmml.normalize | KNIME |
| AbstractParallelNodeModel | This class is an extension of a normal NodeModel that offers parallel processing of DataTables. | Class | org.knime.base.node.parallel | KNIME |
| AbstractSamplingNodeModel | NodeModel implementation to sample rows from an input table, thus, this node has one inport. | Class | org.knime.base.node.preproc.sample | KNIME |
| AccuracyScorerNodeModel | The hilite scorer node's model. | Class | org.knime.base.node.mine.scorer.accuracy | KNIME |
| ActiveBranchInverterNodeModel | Utility Node for a Try-Catch Enclosure. | Class | org.knime.base.node.flowcontrol.trycatch.inverter | KNIME |
| AddEmptyRowsNodeModel | This is the model implementation of AddEmptyRows. | Class | org.knime.base.node.preproc.addemptyrows | KNIME |
| AggregateOutputNodeModel | This models aggregates the result from each of the cross validation loops. | Class | org.knime.base.node.meta.xvalidation | KNIME |
| AppendedRowsNodeModel | NodeModel that concatenates its two input table to one output table. | Class | org.knime.base.node.preproc.append.row | KNIME |
| AppendVariableToTable2NodeModel | NodeModel for the "Variable To TableColumn" node which adds variables as new columns to the input table. | Class | org.knime.base.node.flowvariable.appendvariabletotable2 | KNIME |
| AppendVariableToTableNodeModel | Class | org.knime.base.node.flowvariable.appendvariabletotable | KNIME | |
| ARFFReaderNodeModel | The model of the ARFF reader node. | Class | org.knime.base.node.io.arffreader | KNIME |
| ARFFReaderNodeModel .ARFFFileFilter | FileFilter for the ARFFReader/writer file chooser dialog. | Class | org.knime.base.node.io.arffreader | KNIME |
| ARFFWriterNodeModel | Class | org.knime.base.node.io.arffwriter | KNIME | |
| AutoBinnerApplyNodeModel | Class | org.knime.base.node.preproc.autobinner.apply | KNIME | |
| AutoBinnerLearnNodeModel | Class | org.knime.base.node.preproc.autobinner | KNIME | |
| AutoBinnerLearnNodeModel | Class | org.knime.base.node.preproc.autobinner2 | KNIME | |
| AutoBinnerLearnNodeModel | Class | org.knime.base.node.preproc.autobinner3 | KNIME | |
| BasisFunctionLearnerNodeModel | Abstract basisfunction model holding the trained rule table. | Class | org.knime.base.node.mine.bfn | KNIME |
| BasisFunctionPredictor2NodeModel | The basis function predictor model performing a prediction on the data from the first input and the radial basisfunction model from the second. | Class | org.knime.base.node.mine.bfn | KNIME |
| BasisFunctionPredictorNodeModel | The basis function predictor model performing a prediction on the data from the first input and the radial basisfunction model from the second. | Class | org.knime.base.node.mine.bfn | KNIME |
| BinByDictionaryNodeModel | Class | org.knime.base.node.preproc.binnerdictionary | KNIME | |
| BinnerNodeModel | Class | org.knime.base.node.preproc.binner | KNIME | |
| BinnerNodeModel | Class | org.knime.base.node.preproc.pmml.binner | KNIME | |
| BitVectorGeneratorNodeModel | The BitvectorGenerator translates all values above or equal to a given threshold to a set bit, values below that threshold to bits set to zero. | Class | org.knime.base.node.mine.subgroupminer | KNIME |
| BitVectorGeneratorNodeModel .STRING_TYPES | Represents the string types that can be parsed. | Class | org.knime.base.node.mine.subgroupminer | KNIME |
| BootstrapNodeModel | Class | org.knime.base.node.preproc.bootstrap | KNIME | |
| BoxPlotNodeModel | The input data is sorted for each numeric column and the necessary parameters are determined: minimum, lower whisker | Class | org.knime.base.node.viz.plotter.box | KNIME |
| BreakpointNodeModel | A simple breakpoint node which allows to halt execution when a certain condition on the input table is fulfilled (such as is-empty, is-inactive, | Class | org.knime.base.node.flowcontrol.breakpoint | KNIME |
| BWElimFilterNodeModel | This class is the model for the feature elimination filter node. | Class | org.knime.base.node.meta.feature.backwardelim | KNIME |
| BWElimLoopEndNodeModel | This class is the model for the elimination loop's tail node. | Class | org.knime.base.node.meta.feature.backwardelim | KNIME |
| BWElimLoopStartNodeModel | This class is the model for the backward elimination head node. | Class | org.knime.base.node.meta.feature.backwardelim | KNIME |
| CacheNodeModel | Class | org.knime.base.node.util.cache | KNIME | |
| CAIMDiscretizationNodeModel | publication of Kurgan and Cios (2004) and performs a discretization based on a Class-Interval interdependance measure. | Class | org.knime.base.node.preproc.discretization.caim2.modelcreator | KNIME |
| CaseConvertNodeModel | NodeModel for the CaseConverter Node. | Class | org.knime.base.node.preproc.caseconvert | KNIME |
| CaseEndNodeModel | Class | org.knime.base.node.switches.caseswitch | KNIME | |
| CaseEndNodeModel .MultipleActiveHandling | Class | org.knime.base.node.switches.caseswitch | KNIME | |
| CaseStartNodeModel | Shared node model for (almost) all case switch start nodes. | Class | org.knime.base.node.switches.caseswitch | KNIME |
| CategoryToNumberApplyNodeModel | Node model of the Category2Number (Apply) node. | Class | org.knime.base.node.preproc.colconvert.categorytonumber | KNIME |
| CategoryToNumberNodeModel | The NodeModel of the Category2Number node. | Class | org.knime.base.node.preproc.colconvert.categorytonumber | KNIME |
| CategoryToNumberNodeModel | The NodeModel of the Category2Number node. | Class | org.knime.base.node.preproc.colconvert.categorytonumber2 | KNIME |
| CellReplacerNodeModel | This is the model implementation of CellReplacer. | Class | org.knime.base.node.preproc.cellreplace | KNIME |
| CellReplacerNodeModel .NoMatchPolicy | Class | org.knime.base.node.preproc.cellreplace | KNIME | |
| CellSplitterByPosNodeModel | This is the model implementation of CellSplitterByPosition. | Class | org.knime.base.node.preproc.cellsplitbypos | KNIME |
| CellSplitterNodeModel | Model of the node that splits one column into many, based on a user specifiedAuthor:ohl, University of Konstanz | Class | org.knime.base.node.preproc.cellsplit | KNIME |
| ClusterAssignerNodeModel | Class | org.knime.base.node.mine.cluster.assign | KNIME | |
| ClusterNodeModel | Generate a clustering using a fixed number of cluster centers and the k-means algorithm. | Class | org.knime.base.node.mine.cluster.kmeans | KNIME |
| ColCombine2NodeModel | This is the model implementation of ColCombine. | Class | org.knime.base.node.preproc.colcombine2 | KNIME |
| ColCombineNodeModel | This is the model implementation of ColCombine. | Class | org.knime.base.node.preproc.colcombine | KNIME |
| ColConvertNodeModel | NodeModel for the ColConverter Node. | Class | org.knime.base.node.preproc.colconvert | KNIME |
| CollectionCreate2NodeModel | Class | org.knime.base.collection.list.create2 | KNIME | |
| CollectionSplitNodeModel | Class | org.knime.base.collection.list.split | KNIME | |
| ColorAppender2NodeModel | Node model to append color settings to a column selected in the dialog. | Class | org.knime.base.node.viz.property.color | KNIME |
| ColorExtractNodeModel | Class | org.knime.base.node.viz.property.color.extract | KNIME | |
| ColorManager2NodeModel | Class | org.knime.base.node.viz.property.color | KNIME | |
| ColumnAggregatorNodeModel | NodeModel implementation of the column aggregator node. | Class | org.knime.base.node.preproc.columnaggregator | KNIME |
| ColumnAppenderNodeModel | Class | org.knime.base.node.preproc.columnappend | KNIME | |
| ColumnAutoTypeCasterNodeModel | The column type changer node model which converts a string column to a numeric or date-type column iff all column-entries could be converted. | Class | org.knime.base.node.preproc.colautotypecast | KNIME |
| ColumnComparatorNodeModel | The comparator node model which compares two columns by it values within one row, and appends a new column with the value of the first column if both are | Class | org.knime.base.node.preproc.colcompare | KNIME |
| ColumnFilterRefNodeModel | Class | org.knime.base.node.preproc.filter.columnref | KNIME | |
| ColumnHeaderExtractorNodeModel | This is the model implementation of ColumnHeaderExtractor. | Class | org.knime.base.node.preproc.columnheaderextract | KNIME |
| ColumnHeaderExtractorNodeModel .ColType | Class | org.knime.base.node.preproc.columnheaderextract | KNIME | |
| ColumnHeaderInsertNodeModel | Class | org.knime.base.node.preproc.columnheaderinsert | KNIME | |
| ColumnListLoopStartNodeModel | This is the model for the column list loop start node that does the realAuthor:Thorsten Meinl, University of Konstanz | Class | org.knime.base.node.meta.looper.columnlist | KNIME |
| ColumnListLoopStartNodeModel | This is the model for the column list loop start node that does the realAuthor:Thorsten Meinl, University of Konstanz | Class | org.knime.base.node.meta.looper.columnlist2 | KNIME |
| ColumnMergerNodeModel | Class | org.knime.base.node.preproc.columnmerge | KNIME | |
| ColumnRenameRegexNodeModel | Class | org.knime.base.node.preproc.columnrenameregex | KNIME | |
| ColumnResorterNodeModel | Class | org.knime.base.node.preproc.columnresorter | KNIME | |
| ColumnToGrid2NodeModel | Class | org.knime.base.node.preproc.columntogrid2 | KNIME | |
| ColumnToGridNodeModel | Class | org.knime.base.node.preproc.columntogrid | KNIME | |
| ConditionalBoxPlotNodeModel | Class for the model of a conditional box plot. | Class | org.knime.base.node.viz.condbox | KNIME |
| ConstantValueColumnNodeModel | Class | org.knime.base.node.preproc.constantvalue | KNIME | |
| CorrelationComputeNodeModel | Class | org.knime.base.node.preproc.correlation.compute | KNIME | |
| CorrelationFilterNodeModel | Class | org.knime.base.node.preproc.correlation.filter | KNIME | |
| CreateBitVectorNodeModel | The BitvectorGenerator translates all values above or equal to a given threshold to a set bit, values below that threshold to bits set to zero. | Class | org.knime.base.node.preproc.bitvector.create | KNIME |
| CreateBitVectorNodeModel .ColumnType | Class | org.knime.base.node.preproc.bitvector.create | KNIME | |
| CreateBitVectorNodeModel .SetMatching | Class | org.knime.base.node.preproc.bitvector.create | KNIME | |
| CreateBitVectorNodeModel .StringType | Class | org.knime.base.node.preproc.bitvector.create | KNIME | |
| CreateByteVectorNodeModel | This is the model implementation of CreateByteVector. | Class | org.knime.base.node.preproc.bytevector.create | KNIME |
| CreateTableStructureNodeModel | This is the model implementation of CreateTableStructure. | Class | org.knime.base.node.preproc.createtablestructure | KNIME |
| CreateTableStructureNodeModel .ColType | Class | org.knime.base.node.preproc.createtablestructure | KNIME | |
| CreateTempDirectoryNodeModel | Class | org.knime.base.node.util.createtempdir | KNIME | |
| CrossJoinerNodeModel | Class | org.knime.base.node.preproc.crossjoin | KNIME | |
| CrosstabNodeModel | This is the model for the Crosstab node. | Class | org.knime.base.node.viz.crosstable | KNIME |
| CrosstabNodeModel .CrosstabTotals | Class | org.knime.base.node.viz.crosstable | KNIME | |
| CSVReaderNodeModel | Class | org.knime.base.node.io.csvreader | KNIME | |
| CSVWriterNodeModel | NodeModel to write a DataTable to a CSV (comma separated value) file. | Class | org.knime.base.node.io.csvwriter | KNIME |
| DatabaseLoopingNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DataColumnSpecFilterNodeModel | The model for the column filter which extracts certain columns from the input DataTable using a list of columns to | Class | org.knime.base.node.preproc.filter.column | KNIME |
| DataColumnSpecFilterPMMLNodeModel | The model for the column filter which extracts certain columns from the input DataTable using a list of columns to | Class | org.knime.base.node.preproc.pmml.columnfilter | KNIME |
| DataValidatorNodeModel | Class | org.knime.base.node.preproc.datavalidator | KNIME | |
| DataValidatorSpecNodeModel | Class | org.knime.base.node.preproc.datavalidator | KNIME | |
| DBColumnFilterNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBColumnRenameNodeModel | Class | org.knime.base.node.io.database.columnrename | KNIME | |
| DBConnectionNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBConnectionWriterNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBDeleteRowsNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBDropTableNodeModel | Drops the given table in the given db. | Class | org.knime.base.node.io.database.drop | KNIME |
| DBGroupByNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBGroupByNodeModel2 | Class | org.knime.base.node.io.database.groupby | KNIME | |
| DBJoinerNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBNodeModel | Abstract class derives the general NodeModel for all database nodeSince:2. | Class | org.knime.base.node.io.database | KNIME |
| DBQueryNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBQueryNodeModel2 | Class | org.knime.base.node.io.database | KNIME | |
| DBReaderConnectionNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBReaderNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBRowFilterNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBSorterNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBSQLExecutorNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBTableSelectorNodeModel | Class | org.knime.base.node.io.database.connection | KNIME | |
| DBUpdateNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DBWriterNodeModel | Class | org.knime.base.node.io.database | KNIME | |
| DecisionTreeLearnerNodeModel2 | Class | org.knime.base.node.mine.decisiontree2.learner2 | KNIME | |
| DecTreePredictorNodeModel | Class | org.knime.base.node.mine.decisiontree2.predictor | KNIME | |
| DecTreePredictorNodeModel | Despite being public no official API. | Class | org.knime.base.node.mine.decisiontree2.predictor2 | KNIME |
| DecTreeToImageNodeModel | The NodeModel of the Decision Tree to Image node. | Class | org.knime.base.node.mine.decisiontree2.image | KNIME |
| DefaultTableNodeModel | This is the model for the DefaultTable node. | Class | org.knime.base.node.io.def | KNIME |
| DefaultVisualizationNodeModel | functionality that is needed for a default plotter implementation. | Class | org.knime.base.node.viz.plotter.node | KNIME |
| DiscretizationApplyNodeModel | This node takes a discretization model and applies it to the given input dataAuthor:Christoph Sieb, University of KonstanzSee Also:Discretization2ApplyNodeFactory | Class | org.knime.base.node.preproc.discretization.caim2.modelapply | KNIME |
| DomainNodeModel | Class | org.knime.base.node.preproc.domain.dialog2 | KNIME | |
| DomainNodeModel | Class | org.knime.base.node.preproc.domain | KNIME | |
| DoubleToIntNodeModel | The NodeModel for the Number to String Node that converts doublesAuthor:cebron, University of Konstanz, adae, University of Konstanz | Class | org.knime.base.node.preproc.double2int | KNIME |
| EditNominalDomainDicNodeModel | Class | org.knime.base.node.preproc.domain.editnominal.dic | KNIME | |
| EditNominalDomainNodeModel | Class | org.knime.base.node.preproc.domain.editnominal | KNIME | |
| EditNumericDomainNodeModel | Class | org.knime.base.node.preproc.domain.editnumeric | KNIME | |
| EditNumericDomainNodeModel .DomainOverflowPolicy | Defines the behavior if a row value of selected input columns exceeds the defined bounds. | Class | org.knime.base.node.preproc.domain.editnumeric | KNIME |
| EmptyTableSwitchNodeModel | Class | org.knime.base.node.switches.emptytableswitch | KNIME | |
| EndcaseNodeModel | End of an IF Statement. | Class | org.knime.base.node.switches.endcase | KNIME |
| EndifNodeModel | End of an IF Statement. | Class | org.knime.base.node.switches.endif | KNIME |
| EntropyNodeModel | Class | org.knime.base.node.mine.scorer.entrop | KNIME | |
| EqualSizeSamplingNodeModel | Class | org.knime.base.node.preproc.equalsizesampling | KNIME | |
| ExpandBitVectorNodeModel | This is the model implementation of ExpandBitVector. | Class | org.knime.base.node.preproc.bitvector.expand | KNIME |
| ExpandByteVectorNodeModel | This is the model implementation of ExpandByteVector. | Class | org.knime.base.node.preproc.bytevector.expand | KNIME |
| ExpandVectorNodeModel | Base class for vector expander nodes. | Class | org.knime.base.node.util | KNIME |
| ExtendedScopeNodeModel | (No-API) Core Extension of NodeModel that widens the scope of some of the methods. | Class | org.knime.core.node | KNIME |
| ExtractTableDimensionNodeModel | Class | org.knime.base.node.util.extracttabledimension | KNIME | |
| ExtractTableSpecNodeModel | Class | org.knime.base.node.util.extracttablespec | KNIME | |
| ExtractVariablesNodeModel | Class | org.knime.base.node.flowvariable.extractvariables | KNIME | |
| ExtToolOutputNodeModel | provides methods to store the output of the external tool and to save and load this output. | Class | org.knime.base.node.util.exttool | KNIME |
| FileReaderNodeModel | Class | org.knime.base.node.io.filereader | KNIME | |
| FixedColumnHistogramNodeModel | The NodeModel class of the histogram plotter. | Class | org.knime.base.node.viz.histogram.node | KNIME |
| FixedPieNodeModel | The NodeModel class of the fixed pie chart implementation. | Class | org.knime.base.node.viz.pie.node.fixed | KNIME |
| FixedWidthFRNodeModel | Class | org.knime.base.node.io.fixedwidthfr | KNIME | |
| FuzzyBasisFunctionLearnerNodeModel | The fuzzy basis function model training FuzzyBasisFunctionLearnerRows. | Class | org.knime.base.node.mine.bfn.fuzzy | KNIME |
| FuzzyBasisFunctionPredictor2NodeModel | Class | org.knime.base.node.mine.bfn.fuzzy | KNIME | |
| FuzzyBasisFunctionPredictorNodeModel | The fuzzy basis function predictor model performing a prediction on the data from the first input and the fuzzy basisfunction model from the second. | Class | org.knime.base.node.mine.bfn.fuzzy | KNIME |
| FuzzyClusterNodeModel | Generate a fuzzy c-means clustering using a fixed number of cluster centers. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| GeneralRegressionPredictorNodeModel | Node model for the general regression predictor. | Class | org.knime.base.node.mine.regression.logistic.predict | KNIME |
| GenericCatchNodeModel | End of an Try-Catch Enclosure. | Class | org.knime.base.node.flowcontrol.trycatch.genericcatch | KNIME |
| GenericTryNodeModel | Start of a Try-Catch Enclosure. | Class | org.knime.base.node.flowcontrol.trycatch.generictry | KNIME |
| GlobalTimerinfoNodeModel | A simple node reporting global node timing and execution information for the entire KNIME installation during it's life span. | Class | org.knime.base.node.util.globaltimerinfo | KNIME |
| GroupByNodeModel | The NodeModel implementation of the group by node which uses the GroupByTable class implementations to create the resulting table. | Class | org.knime.base.node.preproc.groupby | KNIME |
| GroupLoopStartNodeModel | Class | org.knime.base.node.meta.looper.group | KNIME | |
| HierarchicalClusterNodeModel | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME | |
| HierarchicalClusterNodeModel .Linkage | Different types of determination of the distance between two clusters. | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME |
| HiliteFilterNodeModel | Class | org.knime.base.node.preproc.filter.hilite | KNIME | |
| HistogramNodeModel | The NodeModel class of the interactive histogram plotter. | Class | org.knime.base.node.viz.histogram.node | KNIME |
| ImageColumnWriterNodeModel | This is the model for the Image writer node. | Class | org.knime.base.node.image.imagecolwriter | KNIME |
| ImageToTableNodeModel | Node model allows translating an generic image port object into a table withAuthor:Thomas Gabriel, KNIME. | Class | org.knime.base.node.image | KNIME |
| InjectVariablesNodeModel | Class | org.knime.base.node.flowvariable.injectvariables | KNIME | |
| InteractiveHiLiteCollectorNodeModel | Class | org.knime.base.node.preproc.filter.hilite.collector | KNIME | |
| InteractivePieNodeModel | The interactive implementation of the PieNodeModel class. | Class | org.knime.base.node.viz.pie.node.interactive | KNIME |
| InterruptibleNodeModel | This class provides a generic implementation of a node that can be stopped and resumed during execution. | Class | org.knime.core.node.interrupt | KNIME |
| JDBCConnectorNodeModel | Class | org.knime.base.node.io.database.connection | KNIME | |
| Joiner2NodeModel | This is the model of the joiner node. | Class | org.knime.base.node.preproc.joiner | KNIME |
| KnnNodeModel | This is the model for the k Nearest Neighbor node. | Class | org.knime.base.node.mine.knn | KNIME |
| LagColumnNodeModel | Class | org.knime.base.node.preproc.columnlag | KNIME | |
| LiftChartNodeModel | The node model of a lift chart. | Class | org.knime.base.node.viz.liftchart | KNIME |
| LineReaderNodeModel | Class | org.knime.base.node.io.linereader | KNIME | |
| LinReg2LearnerNodeModel | NodeModel to the linear regression learner node. | Class | org.knime.base.node.mine.regression.linear2.learner | KNIME |
| LinRegLearnerNodeModel | NodeModel to the linear regression learner node. | Class | org.knime.base.node.mine.regression.linear.learn | KNIME |
| ListFilesNodeModel | This is the model implementation of List Files. | Class | org.knime.base.node.io.listfiles | KNIME |
| ListFilesNodeModel | This is the model implementation of List Files. | Class | org.knime.base.node.io.listfiles2 | KNIME |
| LogRegLearnerNodeModel | NodeModel to the logistic regression learner node. | Class | org.knime.base.node.mine.regression.logistic.learner | KNIME |
| LoopEnd2NodeModel | Class | org.knime.base.node.meta.looper | KNIME | |
| LoopEndConditionNodeModel | This class is the model for the condition loop tail node. | Class | org.knime.base.node.meta.looper.condition | KNIME |
| LoopEndJoinNodeModel | Loop End Node that joins the input table with the previous input (colum wise concatenation). | Class | org.knime.base.node.meta.looper | KNIME |
| LoopEndNodeModel | This model is the tail node of a for loop. | Class | org.knime.base.node.meta.looper | KNIME |
| LoopStartChunkNodeModel | Loop start node that outputs a set of rows at a time. | Class | org.knime.base.node.meta.looper.chunk | KNIME |
| LoopStartCountNodeModel | This model is the head node of a for loop. | Class | org.knime.base.node.meta.looper | KNIME |
| LoopStartGenericNodeModel | This class is the model for the condition loop head node. | Class | org.knime.base.node.meta.looper.condition | KNIME |
| LoopStartIntervalNodeModel | This is the model for the interval loop start node. | Class | org.knime.base.node.meta.looper | KNIME |
| LoopStartVariableNodeModel | Start of loop: pushes variables in input datatable columns onto stack, taking the values from one row per iteration. | Class | org.knime.base.node.flowvariable.variableloophead | KNIME |
| LowVarFilter2NodeModel | NodeModel for low variance filter node. | Class | org.knime.base.node.preproc.lowvarfilter2 | KNIME |
| ManualIfNodeModel | Start of an IF statement. | Class | org.knime.base.node.switches.manualif | KNIME |
| Many2OneCol2NodeModel | Class | org.knime.base.node.preproc.columntrans2 | KNIME | |
| Many2OneCol2PMMLNodeModel | This is the model implementation of Many2OneColPMML. | Class | org.knime.base.node.preproc.pmml.columntrans2 | KNIME |
| Many2OneCol2PMMLNodeModel .IncludeMethod | Possible methods to let a column match. | Class | org.knime.base.node.preproc.pmml.columntrans2 | KNIME |
| Many2OneColNodeModel | Class | org.knime.base.node.preproc.columnTrans | KNIME | |
| Many2OneColPMMLNodeModel | This is the model implementation of Many2OneColPMML. | Class | org.knime.base.node.preproc.pmml.columnTrans | KNIME |
| Many2OneColPMMLNodeModel .IncludeMethod | Possible methods to let a column match. | Class | org.knime.base.node.preproc.pmml.columnTrans | KNIME |
| MDSNodeModel | Class | org.knime.base.node.mine.mds | KNIME | |
| MDSProjectionNodeModel | Class | org.knime.base.node.mine.mds.mdsprojection | KNIME | |
| MergeVariablesNodeModel | Class | org.knime.base.node.util.mergevariables | KNIME | |
| MissingNodeModel | No API - Model to missing node placeholder node. | Class | org.knime.core.node.missing | KNIME |
| MissingValueApplyNodeModel | This is the model implementation of CompiledModelReader. | Class | org.knime.base.node.preproc.pmml.missingval.apply | KNIME |
| MissingValueColumnFilterNodeModel | The model for the missing value column filter which removes all columns with more missing values than a certain percentage. | Class | org.knime.base.node.preproc.filter.missingvaluecolfilter | KNIME |
| MissingValueHandlerNodeModel | This is the model implementation of CompiledModelReader. | Class | org.knime.base.node.preproc.pmml.missingval.compute | KNIME |
| MissingValueHandling2NodeModel | NodeModel for missing value node. | Class | org.knime.base.node.preproc.missingval | KNIME |
| MissingValueHandling3NodeModel | NodeModel for missing value node. | Class | org.knime.base.node.preproc.missingval | KNIME |
| MLPPredictorNodeModel | The Neural Net Predictor takes as input a DataTable with the data that has to be classified | Class | org.knime.base.node.mine.neural.mlp | KNIME |
| MLPPredictorNodeModel | The Neural Net Predictor takes as input a DataTable with the data that has to be classified | Class | org.knime.base.node.mine.neural.mlp2 | KNIME |
| MVColumnFilterNodeModel | This is the model implementation of CellReplacer. | Class | org.knime.base.node.preproc.draganddroppanel | KNIME |
| NaiveBayesLearnerNodeModel | This is the NodeModel implementation of the "Naive Bayes Learner" node. | Class | org.knime.base.node.mine.bayes.naivebayes.learner | KNIME |
| NaiveBayesLearnerNodeModel2 | This is the NodeModel implementation of the "Naive Bayes Learner" node. | Class | org.knime.base.node.mine.bayes.naivebayes.learner2 | KNIME |
| NaiveBayesPredictorNodeModel | This is the NodeModel implementation of the "Naive Bayes Predictor" node. | Class | org.knime.base.node.mine.bayes.naivebayes.predictor | KNIME |
| NaiveBayesPredictorNodeModel | This is the NodeModel implementation of the "Naive Bayes Predictor" node. | Class | org.knime.base.node.mine.bayes.naivebayes.predictor2 | KNIME |
| NaiveBayesPredictorNodeModel2 | This is the NodeModel implementation of the "Naive Bayes Predictor" node. | Class | org.knime.base.node.mine.bayes.naivebayes.predictor3 | KNIME |
| NodeModel | Abstract class defining a node's configuration and execution (among others). | Class | org.knime.core.node | KNIME |
| NodeModelWarningListener | Interface | org.knime.core.node | KNIME | |
| NodePersistor .LoadNodeModelSettingsFailPolicy | Policy on how to behave if the node model settings fails. | Class | org.knime.core.node | KNIME |
| NominalValueRowFilterNodeModel | This is the model implementation of PossibleValueRowFilter. | Class | org.knime.base.node.preproc.filter.nominal | KNIME |
| Normalizer2NodeModel | The NormalizeNodeModel uses the Normalizer to normalize the input DataTable. | Class | org.knime.base.node.preproc.normalize2 | KNIME |
| Normalizer2NodeModel .CalculationResult | Helper class for being able to return all necessary information in the Normalizer2NodeModel. | Class | org.knime.base.node.preproc.normalize2 | KNIME |
| Normalizer3NodeModel | The Normalizer3NodeModel uses the Normalizer to normalize the input DataTable. | Class | org.knime.base.node.preproc.normalize3 | KNIME |
| NormalizerApplyNodeModel | Class | org.knime.base.node.preproc.normalize | KNIME | |
| NormalizerDeNodeModel | The node model for the denormalizer. | Class | org.knime.base.node.preproc.normalize | KNIME |
| NormalizerNodeModel | The NormalizeNodeModel uses the Normalizer to normalize the input DataTable. | Class | org.knime.base.node.preproc.normalize | KNIME |
| NormalizerPMMLApplyNodeModel | Class | org.knime.base.node.preproc.pmml.normalize | KNIME | |
| NormalizerPMMLDeNodeModel | Class | org.knime.base.node.preproc.pmml.normalize | KNIME | |
| NormalizerPMMLNodeModel | Class | org.knime.base.node.preproc.pmml.normalize | KNIME | |
| NormalizerPMMLNodeModelNoOptIn | Class | org.knime.base.node.preproc.pmml.normalize | KNIME | |
| NoSettingsNodeModel | Convenience model class that make some empty stub implementations of methods that are not used by nodes that are not configurable (e. | Class | org.knime.core.node | KNIME |
| NumberToCategoryApplyNodeModel | Node model of the Number2Category Apply node. | Class | org.knime.base.node.preproc.colconvert.numbertocategory | KNIME |
| NumberToStringNodeModel | The NodeModel for the Number to String Node that converts numbersAuthor:cebron, University of Konstanz | Class | org.knime.base.node.preproc.colconvert.numbertostring | KNIME |
| NumberToStringNodeModel | The NodeModel for the Number to String Node that converts numbersAuthor:cebron, University of Konstanz | Class | org.knime.base.node.preproc.pmml.numbertostring | KNIME |
| NumericRowSplitterNodeModel | Class | org.knime.base.node.preproc.rowsplit | KNIME | |
| NumericScorerNodeModel | Class | org.knime.base.node.mine.scorer.numeric | KNIME | |
| One2ManyCol2NodeModel | Class | org.knime.base.node.preproc.columntrans2 | KNIME | |
| One2ManyCol2PMMLNodeModel | This node converts one column to many columns, such that each possible value becomes an extra column with the value 1 if the row contains this value in | Class | org.knime.base.node.preproc.pmml.columntrans2 | KNIME |
| One2ManyColNodeModel | This node converts one column to many columns, such that each possible value becomes an extra column with the value 1 if the row contains this value in | Class | org.knime.base.node.preproc.columnTrans | KNIME |
| One2ManyColPMMLNodeModel | This node converts one column to many columns, such that each possible value becomes an extra column with the value 1 if the row contains this value in | Class | org.knime.base.node.preproc.pmml.columnTrans | KNIME |
| PartitionNodeModel | Class | org.knime.base.node.preproc.partition | KNIME | |
| PCAApplyNodeModel | Class | org.knime.base.node.mine.pca | KNIME | |
| PCAComputeNodeModel | Node for PCA learning. | Class | org.knime.base.node.mine.pca | KNIME |
| PCANodeModel | The model class that implements the PCA on the input table. | Class | org.knime.base.node.mine.pca | KNIME |
| PCAReverseNodeModel | Invert PCA transformation to transform data back to original space. | Class | org.knime.base.node.mine.pca | KNIME |
| PieNodeModel | The abstract pie chart implementation of theNodeModel class. | Class | org.knime.base.node.viz.pie.node | KNIME |
| Pivot2NodeModel | The NodeModel implementation of the pivot node which uses the GroupByNodeModel class implementations to create an intermediate | Class | org.knime.base.node.preproc.pivot | KNIME |
| PMMLKNNNodeModel | This is the model implementation of PMMLFragmentMergerNodeModel. | Class | org.knime.base.node.mine.knn.pmml | KNIME |
| PMMLReaderNodeModel | Class | org.knime.base.node.io.pmml.read | KNIME | |
| PMMLWriterNodeModel | Class | org.knime.base.node.io.pmml.write | KNIME | |
| PolyRegLearnerNodeModel | This node performs polynomial regression on an input table with numeric-only columns. | Class | org.knime.base.node.mine.regression.polynomial.learner | KNIME |
| PolyRegLearnerNodeModel | This node performs polynomial regression on an input table with numeric-only columns. | Class | org.knime.base.node.mine.regression.polynomial.learner2 | KNIME |
| PortObjectReaderNodeModel | Class | org.knime.base.node.io.portobject | KNIME | |
| PortObjectWriterNodeModel | Class | org.knime.base.node.io.portobject | KNIME | |
| RadialBasisFunctionLearnerNodeModel | RadialBasisFunctionLearnerRows. | Class | org.knime.base.node.mine.bfn.radial | KNIME |
| RadialBasisFunctionPredictor2NodeModel | Class | org.knime.base.node.mine.bfn.radial | KNIME | |
| RadialBasisFunctionPredictorNodeModel | The radial basisfunction predictor model performing a prediction on the data from the first input and the radial basisfunction model from the second. | Class | org.knime.base.node.mine.bfn.radial | KNIME |
| ReadContextPropertyNodeModel | Class | org.knime.base.node.io.extractcontextprop | KNIME | |
| ReadPNGFromURLNodeModel | Class | org.knime.base.node.image.readpng | KNIME | |
| ReadSysPropertyNodeModel | Class | org.knime.base.node.io.extractsysprop | KNIME | |
| ReadTableNodeModel | NodeMode for table that reads the file as written from theAuthor:wiswedel, University of Konstanz | Class | org.knime.base.node.io.table.read | KNIME |
| RecursiveLoopEnd2NodeModel | This is the model implementation of Recursive Loop End Node (2port). | Class | org.knime.base.node.meta.looper.recursive | KNIME |
| RecursiveLoopEndNodeModel | This is the model implementation of Recursive Loop End Node (1port). | Class | org.knime.base.node.meta.looper.recursive | KNIME |
| RecursiveLoopStart2NodeModel | This is the model implementation of Recursive Loop Start node (2ports). | Class | org.knime.base.node.meta.looper.recursive | KNIME |
| RecursiveLoopStartNodeModel | This is the model implementation of Recursive Loop Start node. | Class | org.knime.base.node.meta.looper.recursive | KNIME |
| RegexSplitNodeModel | Class | org.knime.base.node.preproc.regexsplit | KNIME | |
| RegressionPredictorNodeModel | Node model for the linear regression predictor. | Class | org.knime.base.node.mine.regression.predict | KNIME |
| RegressionPredictorNodeModel | Node model for the general regression predictor. | Class | org.knime.base.node.mine.regression.predict2 | KNIME |
| RenameNodeModel | NodeModel implementation for the renaming node. | Class | org.knime.base.node.preproc.rename | KNIME |
| ROCNodeModel | This model prepares the data for the ROC curve view. | Class | org.knime.base.node.viz.roc | KNIME |
| RoundDoubleNodeModel | Class | org.knime.base.node.preproc.rounddouble | KNIME | |
| RowFilter2PortNodeModel | Model of a node filtering rows. | Class | org.knime.base.node.preproc.filter.row | KNIME |
| RowFilterNodeModel | Model of a node filtering rows. | Class | org.knime.base.node.preproc.filter.row | KNIME |
| RowFilterRefNodeModel | The Reference Row Filter node allow the filtering of row IDs based on a second reference table. | Class | org.knime.base.node.preproc.filter.rowref | KNIME |
| RowKeyNodeModel2 | The node model of the row key manipulation node. | Class | org.knime.base.node.preproc.rowkey2 | KNIME |
| RPropNodeModel | RPropNodeModel trains a MultiLayerPerceptron with resilient backpropagation. | Class | org.knime.base.node.mine.neural.rprop | KNIME |
| RuleEngineNodeModel | This is the model for the business rule node. | Class | org.knime.base.node.rules | KNIME |
| SampleDataNodeModel | Model that generates one DataTable with randomly distributed patterns. | Class | org.knime.base.node.util.sampledata | KNIME |
| SamplingNodeModel | NodeModel implementation to sample rows from an input table, thus, this node has one in- and one outport. | Class | org.knime.base.node.preproc.sample | KNIME |
| SaveWorkflowNodeModel | Class | org.knime.base.node.workflow.save | KNIME | |
| SearchReplaceDictNodeModel | Class | org.knime.base.node.preproc.stringreplacer.dict | KNIME | |
| SendMailNodeModel | Class | org.knime.base.node.util.sendmail | KNIME | |
| SetOperatorNodeModel | This class is the node implementation of the set operation node. | Class | org.knime.base.node.preproc.setoperator | KNIME |
| ShapeAppenderNodeModel | Node model to append shape settings to a (new) column selected in the dialog. | Class | org.knime.base.node.viz.property.shape | KNIME |
| ShapeManagerNodeModel | Class | org.knime.base.node.viz.property.shape | KNIME | |
| ShuffleNodeModel | possible outcomes are possible and equally likely. | Class | org.knime.base.node.preproc.shuffle | KNIME |
| SimpleStreamableFunctionNodeModel | Abstract definition of a node that applies a simple function using a ColumnRearranger. | Class | org.knime.core.node.streamable.simple | KNIME |
| SimpleStreamableFunctionWithInternalsNodeModel | Abstract class of node that computes a simple (1:1) function but needs to have some final processing afterwards (mostly only setting an error message). | Class | org.knime.core.node.streamable.simple | KNIME |
| SizeAppenderNodeModel | Node model to append size settings to a (new) column selected in the dialog. | Class | org.knime.base.node.viz.property.size | KNIME |
| SizeManager2NodeModel | A node model for setting sizes using the double values of a column specified using the SizeManagerNodeDialog. | Class | org.knime.base.node.viz.property.size | KNIME |
| SleepNodeModel | A simple breakpoint node which allows to halt execution when a certain condition on the input table is fulfilled (such as is-empty, is-inactive, is-active, . | Class | org.knime.base.node.flowcontrol.sleep | KNIME |
| SmoteNodeModel | Class | org.knime.base.node.mine.smote | KNIME | |
| SorterNodeModel | This class implements the NodeModel for the sorter node. | Class | org.knime.base.node.preproc.sorter | KNIME |
| SotaNodeModel | Class | org.knime.base.node.mine.sota | KNIME | |
| SotaPredictorNodeModel | Class | org.knime.base.node.mine.sota.predictor | KNIME | |
| SplitNodeModel2 | NodeModel with one input, two outputs. | Class | org.knime.base.node.preproc.split2 | KNIME |
| SQLExtractNodeModel | This is the model implementation of SQLExtract. | Class | org.knime.base.node.io.database | KNIME |
| SQLInjectNodeModel | This is the model implementation of "SQL Inject" node. | Class | org.knime.base.node.io.database | KNIME |
| StartcaseNodeModel | Start of a CASE Statement. | Class | org.knime.base.node.switches.startcase | KNIME |
| Statistics2NodeModel | The StatisticsNodeModel creates a new StatisticTable based on the input dataAuthor:Thomas Gabriel, University of Konstanz | Class | org.knime.base.node.viz.statistics | KNIME |
| Statistics3NodeModel | The StatisticsNodeModel creates a new StatisticTable based on the input dataAuthor:Thomas Gabriel, University of Konstanz | Class | org.knime.base.node.viz.statistics2 | KNIME |
| StringReplacerNodeModel | This is the model for the string replacer node that does the work. | Class | org.knime.base.node.preproc.stringreplacer | KNIME |
| StringToNumberNodeModel | The NodeModel for the String to Number Node that converts strings to numbers. | Class | org.knime.base.node.preproc.colconvert.stringtonumber | KNIME |
| StringToNumberNodeModel | The NodeModel for the String to Number Node that converts strings to numbers. | Class | org.knime.base.node.preproc.pmml.stringtonumber | KNIME |
| SubsetMatcherNodeModel | NodeModel implementation. | Class | org.knime.base.node.preproc.matcher | KNIME |
| SVMLearnerNodeModel | Class | org.knime.base.node.mine.svm.learner | KNIME | |
| SVMPredictorNodeModel | NodeModel of the SVM Predictor Node. | Class | org.knime.base.node.mine.svm.predictor | KNIME |
| SVMPredictorNodeModel | NodeModel of the SVM Predictor Node. | Class | org.knime.base.node.mine.svm.predictor2 | KNIME |
| TableColumnToVariableNodeModel | Class | org.knime.base.node.flowvariable.tablecoltovariable | KNIME | |
| TableCreator2NodeModel | Class | org.knime.base.node.io.tablecreator | KNIME | |
| TableNodeModel | Node model for a table view. | Class | org.knime.base.node.viz.table | KNIME |
| TableRowToImageNodeModel | Class | org.knime.base.node.image.tablerowtoimage | KNIME | |
| TableToVariableNodeModel | The node model for the table row to variable node. | Class | org.knime.base.node.flowvariable.tablerowtovariable | KNIME |
| TargetShufflingNodeModel | Class | org.knime.base.node.preproc.targetshuffling | KNIME | |
| ThreadedColAppenderNodeModel | Class | org.knime.base.node.parallel.appender | KNIME | |
| ThreadedNodeModel | This model is an extension of the AbstractParallelNodeModel that uses a sub pool of the global KNIME thread pool. | Class | org.knime.base.node.parallel | KNIME |
| ThreadedTableBuilderNodeModel | This model is an extension of the NodeModel that allows you to easily process data in parallel. | Class | org.knime.base.node.parallel.builder | KNIME |
| TimerinfoNodeModel | A simple node collecting timer information from the current workflow and providing it as output table. | Class | org.knime.base.node.util.timerinfo | KNIME |
| TransposeTableNodeModel | Class | org.knime.base.node.preproc.transpose | KNIME | |
| UngroupNodeModel | Class | org.knime.base.node.preproc.ungroup | KNIME | |
| Unpivot2NodeModel | Class | org.knime.base.node.preproc.unpivot2 | KNIME | |
| ValueCounterNodeModel | This is the model for the value counter node that does all the work. | Class | org.knime.base.node.preproc.valcount | KNIME |
| VariableFileReaderNodeModel | Class | org.knime.base.node.io.filereader | KNIME | |
| VariableLoopEndNodeModel | Class | org.knime.base.node.meta.looper.variableloopend | KNIME | |
| VariableToTable2NodeModel | NodeModel for the "Variable To TableRow" node which converts variables into a single row values with the variable names as column headers. | Class | org.knime.base.node.flowvariable.variabletotablerow2 | KNIME |
| VariableToTableNodeModel | Class | org.knime.base.node.flowvariable.variabletotablerow | KNIME | |
| VirtualParallelizedChunkPortObjectInNodeModel | Class | org.knime.core.node.workflow.virtual.parchunk | KNIME | |
| VirtualParallelizedChunkPortObjectOutNodeModel | Class | org.knime.core.node.workflow.virtual.parchunk | KNIME | |
| VirtualSubNodeInputNodeModel | NodeModel of the subnode virtual source node. | Class | org.knime.core.node.workflow.virtual.subnode | KNIME |
| VirtualSubNodeOutputNodeModel | NodeModel to subnode virtual output node. | Class | org.knime.core.node.workflow.virtual.subnode | KNIME |
| WorkflowManager .NodeModelFilter | A subclassable filter object that is used in various findXYZ methods. | Class | org.knime.core.node.workflow | KNIME |
| WriteImageNodeModel | Class | org.knime.base.node.image.writeimage | KNIME | |
| WriteTableNodeModel | NodeModel for the node to write arbitrary tables to a file. | Class | org.knime.base.node.io.table.write | KNIME |
| XML2PMMLNodeModel | This is the model implementation of XML2PMML. | Class | org.knime.base.node.preproc.pmml.xml2pmml | KNIME |
| CoDefaultTreeNodeModel | See Also:Serialized FormFields inherited from interface com. | Class | com.ptc.core.ca.co.client.tree | WindChill |
| CoTreeNodeModel | The interface the model of the tree node element implements. | Interface | com.ptc.core.ca.co.client.tree | WindChill |
| CoWindchillEnumerationDDEModelDoer | Class | com.ptc.core.ca.co.client.windchill | WindChill | |
| GlideModule | An interface allowing lazy configuration of Glide including setting options using GlideBuilder and registering | Interface | com.bumptech.glide.module | Glide |
| HTreeVersusHashMapDemo | A simple demonstration which may be used to compare the HTree performance against a Java collections class such as HashMap or | Class | com.bigdata.htree | BlazeGraph |
| Demo | The main demo class which interprets the command line switches in order to determine how to call the demo programs | Class | jxl.demo | Java ExcelApi |
| Style .HideMode | HideMode enumeration. | Class | com.sencha.gxt.core.client | GXT |
| NodeMode | A NodeMode identifies a mode an INode might be set to during procession of a request. | Class | com.sapportals.portal.prt.pom | SAP NetWeaver |
| NodeMonitor | Monitor node events from the node service to update the file state cache and feed notification events into the file server change notification handler. | Class | org.alfresco.filesys.repo | AlFresco |
| NodeMonitorFactory | Class | org.alfresco.filesys.repo | AlFresco | |
| DemoManager | This class manages the operation of the overall Demo application. | Class | com.microstrategy.sdk.externalsecurity | MicroStrategy |
| UpgradeModule | This interface represents a single upgrade module. | Interface | com.microstrategy.web.app.utils.upgrade | MicroStrategy |
| DemoAndroidHarness | Fields inherited from class com. | Class | jme3test.android | JMonkeyEngine |
| DemoLaunchAdapter | The view adapter which gets a list of LaunchEntries and displaqs themFields inherited from interface android. | Class | jme3test.android | JMonkeyEngine |
| DemoLaunchEntry | Name (=appClass) and Description of one demo launch inside the main apkConstructor SummaryDemoLaunchEntry(java. | Class | jme3test.android | JMonkeyEngine |
| DemoMainActivity | Fields inherited from class android. | Class | jme3test.android | JMonkeyEngine |
| DemoData | Data class to store demo data. | Class | org.jscience.chemistry.vapor | JScience |
| DemoApplet | Class | net.yacy.visualization | Yacy | |
| HTTPDemon | Instances of this class can be passed as argument to the serverCore. | Class | net.yacy.server.http | Yacy |
| DigitalDemodulator | A signal processor based on a modulation method which decodes the input signal by removing the modulation and producing a base-band signal which retains all other | Class | agi.foundation.communications.signalprocessing | AGI ( Analytical Graphics ) |
| RendererShadeModel | enum RendererShadeModelIdentifies which shade model to use. | Class | agi.foundation.graphics.renderer | AGI ( Analytical Graphics ) |
| AutoHideMouseListener | MouseListener for AutohideContainer. | Class | com.jidesoft.docking | JideSoft |
| ComplDemo | Demonstration of complex arithmetics. | Class | de.frame4j.demos | Frame4j |
| SAXdemo | Java XML demonstration application for SAX. | Class | de.frame4j.demos | Frame4j |
| AlignmentGuiDemo | Get an instance of the two alignment GUIs. | Class | demo | BioJava |
| BioJavaAADemo | Created by andreas on 8/9/14. | Class | demo | BioJava |
| DemoAlignmentFromFasta | Demo of how to use the FastaStructureParser class to read protein structures from a FASTA file. | Class | demo | BioJava |
| DemoAlignProteins | Class | demo | BioJava | |
| DemoAsa | Class | demo | BioJava | |
| DemoAtomCache | Example of how to load PDB files using the AtomCache class. | Class | demo | BioJava |
| DemoBerkeleyScop | A demo for how to use the Berkeley version of SCOP instead of the default UK-SCOPSince:3. | Class | demo | BioJava |
| DemoCATH | An example for how to access CATH data. | Class | demo | BioJava |
| DemoCE | Example of how to run a structure alignment using the CE algorithm. | Class | demo | BioJava |
| DemoCeSymm | Quick demo of how to call CE-Symm programmatically. | Class | demo | BioJava |
| DemoChangeChemCompProvider | This demo shows how to use an alternative ChemCompProvider. | Class | demo | BioJava |
| DemoCommandLineStartup | Class | demo | BioJava | |
| DemoContacts | Class | demo | BioJava | |
| DemoCrystalInterfaces | Class | demo | BioJava | |
| DemoDistanceTree | This demo contains the CookBook example to create a phylogenetic tree from a multiple sequence alignment (MSA). | Class | demo | BioJava |
| DemoDomainsplit | Class | demo | BioJava | |
| DemoFATCAT | Class | demo | BioJava | |
| DemoLoadSecStruc | Demonstration of how to load a Structure with the SS information, either from the PDB file annotation (Author's assignment) or from the DSSP file in the | Class | demo | BioJava |
| DemoLoadStructure | Example for how to load protein structures (from PDB files). | Class | demo | BioJava |
| DemoLoadSubstMax | Class | demo | BioJava | |
| DemoMMCIFReader | An example of how to read MMcif filesAuthor:Andreas Prlic | Class | demo | BioJava |
| DemoMultipleMC | Demo for running the MultipleMC Algorithm on a protein family. | Class | demo | BioJava |
| DemoNWALignment | Class | demo | BioJava | |
| DemoOrientBioAssembly | Created by ap3 on 02/04/2015. | Class | demo | BioJava |
| DemoRotationAxis | A demo for how to use RotationAxis to display the rotation for an alignment. | Class | demo | BioJava |
| DemoSCOP | A class demonstrating the use of the SCOP parsing toolsAuthor:Andreas Prlic | Class | demo | BioJava |
| DemoSecStrucCalc | Demonstration on how to use the Secondary Structure Prediction (DSSP) implementation in BioJava and obtain different SS representations and | Class | demo | BioJava |
| DemoShowBiolAssembly | Class | demo | BioJava | |
| DemoShowCATHDomain | Class | demo | BioJava | |
| DemoShowLargeAssembly | Class | demo | BioJava | |
| DemoShowValidationResults | Class | demo | BioJava | |
| DemoSixFrameTranslation | Created by andreas on 8/10/15. | Class | demo | BioJava |
| DemoStructureFromFasta | Demo of how to use the FastaStructureParser class to read protein structures from a FASTA file. | Class | demo | BioJava |
| DemoSW3DAligner | Class | demo | BioJava | |
| HmmerDemo | The cookbook recipe for how to request Pfam annotations for a protein sequence using the Hmmer3 serviceSince:3. | Class | demo | BioJava |
| NCBIQBlastServiceDemo | A simple demo showing NCBIQBlastService usageAuthor:Gediminas Rimsa | Class | demo | BioJava |
| ParseFastaFileDemo | Created by andreas on 6/17/15. | Class | demo | BioJava |
| WebStartClientDemo | Class | demo | BioJava | |
| DemoTask | Demonstration task to test the resource adaptor. | Class | org.jppf.jca.demo | Jppf |
| J2EEDemo | Instances of this class encapsulate a simple call to the JPPF resource adapter. | Class | org.jppf.jca.demo | Jppf |
| NIVision .DataMatrixDemodulationMode | Class | com.ni.vision | Roborio | |
| NIVision .QRDemodulationMode | Class | com.ni.vision | Roborio | |
| DemographicAndTechniqueAnnotations | A class to extract selected DICOM annotative attributes into defined displayed area relative positions. | Class | com.pixelmed.display | PixelMed |
| IconDemographicAndTechniqueAnnotations | A class to extract selected DICOM annotative attributes into defined displayed area relative positions for icons. | Class | com.pixelmed.display | PixelMed |
| MammoDemographicAndTechniqueAnnotations | A class to extract selected DICOM annotative attributes into defined displayed area relative positions for mammograms. | Class | com.pixelmed.display | PixelMed |