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Packages that use DataCell | |
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org.knime.base.data.append.column | |
org.knime.base.data.append.row | |
org.knime.base.data.bitvector | This package contains classes responsible for the representation and conversion of bit vectors. |
org.knime.base.data.filter.column | Contains column filter for DataTable objects which
includes or excludes a certain number of columns from a given data table. |
org.knime.base.data.join | Implementation of a DataTable that joins to underlying tables based on their row key (like a Database join). |
org.knime.base.data.neural | This package contains all the necessary classes to build your own neural network. |
org.knime.base.data.replace | |
org.knime.base.data.statistics | This package holds the StatisticsTable. |
org.knime.base.data.util | |
org.knime.base.node.io.filereader | Contains a node implementation that reads in data from an ASCII file. |
org.knime.base.node.mine.bayes.naivebayes.datamodel | This package implements the naive bayes algorithm for numerical and nominal attributes. |
org.knime.base.node.mine.bayes.naivebayes.predictor | This package contains the classes of the predictor node. |
org.knime.base.node.mine.bfn | Contains abstract and util classes to train and perform prediction to rule models, also called BasisFunction models. |
org.knime.base.node.mine.bfn.fuzzy | Contains the learner and predictor to train fuzzy rules and apply them to unknown data. |
org.knime.base.node.mine.bfn.fuzzy.membership | Membership function package which are used during training of BasisFunction models. |
org.knime.base.node.mine.bfn.radial | Contains the PNN learner and predictor. |
org.knime.base.node.mine.cluster.assign | This package contains the classes for the Cluster Assigner Node. |
org.knime.base.node.mine.cluster.fuzzycmeans | The fuzzycmeans package contains all classes for the Fuzzy c-means node. |
org.knime.base.node.mine.decisiontree2 | |
org.knime.base.node.mine.decisiontree2.learner | |
org.knime.base.node.mine.decisiontree2.model | This package contains code for a decision tree model. |
org.knime.base.node.mine.mds | A node that applies multi dimensional scaling (MDS) on high dimensional data. |
org.knime.base.node.mine.pca | This package contains all classes for the PCA (principal component analysis) Node. |
org.knime.base.node.mine.regression | Contains nodes and utility classes for linear and polynomial regression. |
org.knime.base.node.mine.regression.linear | Contains classes for linear regression. |
org.knime.base.node.mine.scorer.accuracy | Similar to the default scorer. |
org.knime.base.node.mine.smote | Node that oversample patterns in an input table. |
org.knime.base.node.mine.sota.logic | Contains the logic classes of SOTA. |
org.knime.base.node.mine.sota.predictor | Contains the Sotapredictor node, which can be used for class prediction of incoming data. |
org.knime.base.node.mine.subgroupminer.freqitemset | This package contains the necessary data structures for the subgroup mining. |
org.knime.base.node.mine.svm.predictor | This subpackage contains all classes for the SVM Predictor Node. |
org.knime.base.node.parallel.appender | |
org.knime.base.node.preproc.binner | Contains a node to bin/group a number of numeric columns into a string column by predefined intervals. |
org.knime.base.node.preproc.cellsplit | Contains the implementation of a node that splits (and replaces) a values in a column into multiple new ones. |
org.knime.base.node.preproc.cellsplitbypos | |
org.knime.base.node.preproc.colcompare | Node to combine the content of a set of columns into a single column (to be appended). |
org.knime.base.node.preproc.columnTrans | This package contains the classes of the Many2One and One2Many column transformation nodes. |
org.knime.base.node.preproc.filter.row.rowfilter | Contains all filters currently implemented for the row filter node. |
org.knime.base.node.preproc.groupby.aggregation | Contains helper classes that perform the aggregation. |
org.knime.base.node.preproc.missingval | Implemenation of the node that treats missing values. |
org.knime.base.node.preproc.pivot | Contains a node to perform a pivoting on one column against another group column. |
org.knime.base.node.preproc.setoperator | Contains a node to perform a set operation on two columns from two input tables. |
org.knime.base.node.preproc.sorter | Contains the Sorter Node which can be used to sort columns from the input data table. |
org.knime.base.node.util | |
org.knime.base.node.viz.aggregation | This package contains all data models and some utility classes which are used in the different aggregation visualization implementations like pie chart and histogram. |
org.knime.base.node.viz.histogram.datamodel | This package contains all data and visualization models which are used in the different histogram implementations. |
org.knime.base.node.viz.histogram.util | Contains utility classes which performe binning or which are used in dialogs to select the aggregation columns. |
org.knime.base.node.viz.pie.datamodel.fixed | This package contains the fixed pie chart data model classes. |
org.knime.base.node.viz.plotter | Contains the basic viewing framework for KNIME. |
org.knime.base.node.viz.plotter.basic |
The idea behind the BasicPlotter is to provide a small fraction of the
functionality known from "R" or "GnuPlot", if you have some basic elements,
such as lines, ellipses, rectangles, you want to add to your view you can use
the BasicPlotter . |
org.knime.base.node.viz.plotter.parcoord | A ParallelCoordinatePlot is a representation of multi-dimensional information or data, in which multiple dimensions are allocated to parallel axes on-screen. |
org.knime.base.node.viz.plotter.scatter | A scatter plot maps to columns (dimensions) of data to 2-dimensional space, which results that each row (data instance) can be represented as one 2-dimensional point. |
org.knime.base.node.viz.property.color | Contains the Color Manager and Color Appender node to set colors for a nominal or bounded (numeric) column. |
org.knime.base.node.viz.roc | The ROC node allows you to plot ROC curves. |
org.knime.base.util.coordinate | All classes of this package are not part of the offical API and might undergo changes until the next release. |
org.knime.core.data | Contains the interface definitions of the DataCell
and DataTable and related
classes, used to store and access the actual data. |
org.knime.core.data.collection | Definitions for KNIME collection types and default implementations. |
org.knime.core.data.container |
Implementation of a DataContainer . |
org.knime.core.data.date | Definition of date and time in KNIME. |
org.knime.core.data.def | Provides default implementations for all (except
DataTable ) abstract
classes in the data package.The default implementations of classes derived from DataCell just store their
values in members of the appropriate java type (like
DoubleCell has a private
member of Java type double, etc.).The default implementation of DataTable
is deprecated and shouldn't be used. |
org.knime.core.data.property | Contains utility classes for Colors, Shapes, and Sizes which can be assigned to a DataTable via corresponding ColorHandler, ShapeHandler, and SizeHandler all derived from PropertyHandler. |
org.knime.core.data.util | This package contains the utility class ObjectToDataCellConverter, which is as of KNIME 1.2.0 deprecated. |
org.knime.core.data.vector.bitvector | |
org.knime.core.data.vector.bytevector | |
org.knime.core.node.config | Contains a utility class Config to store
a general state (i.e. |
org.knime.core.node.tableview | Node implementation of a table view. |
Uses of DataCell in org.knime.base.data.append.column |
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Methods in org.knime.base.data.append.column that return DataCell | |
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DataCell[] |
AppendedCellFactory.getAppendedCell(DataRow row)
Get the new cells for a given row. |
DataCell[] |
DefaultAppendedCellFactory.getAppendedCell(DataRow row)
Get the value to row's key. |
DataCell |
AppendedColumnRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
Methods in org.knime.base.data.append.column that return types with arguments of type DataCell | |
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Iterator<DataCell> |
AppendedColumnRow.iterator()
|
Constructors in org.knime.base.data.append.column with parameters of type DataCell | |
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AppendedColumnRow(DataRow baseRow,
DataCell... appendCell)
Creates new Row with baseRow providing the first cells and
appendCell as last cells. |
|
AppendedColumnRow(RowKey rowKey,
DataRow baseRow,
DataCell... appendCell)
Creates new Row with baseRow providing the first cells and
appendCell as last cells. |
Constructor parameters in org.knime.base.data.append.column with type arguments of type DataCell | |
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AppendedColumnTable(DataTable table,
Map<RowKey,DataCell> map,
DataColumnSpec... appendedColSpec)
Create new table based on an underlying table with a map providing the row key --> new cell mapping. |
|
DefaultAppendedCellFactory(Map<RowKey,DataCell> map)
Creates new factory. |
Uses of DataCell in org.knime.base.data.append.row |
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Methods in org.knime.base.data.append.row that return DataCell | |
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DataCell |
ResortedCellsRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
Methods in org.knime.base.data.append.row that return types with arguments of type DataCell | |
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Iterator<DataCell> |
ResortedCellsRow.iterator()
|
Uses of DataCell in org.knime.base.data.bitvector |
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Subclasses of DataCell in org.knime.base.data.bitvector | |
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class |
BitVectorCell
Deprecated. |
Methods in org.knime.base.data.bitvector that return DataCell | |
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DataCell |
IdString2BitVectorCellFactory.getCell(DataRow row)
Called from getCells. |
DataCell |
Numeric2BitVectorMeanCellFactory.getCell(DataRow row)
Called from getCells. |
DataCell |
Hex2BitVectorCellFactory.getCell(DataRow row)
Called from getCells. |
DataCell |
BitString2BitVectorCellFactory.getCell(DataRow row)
Called from getCells. |
DataCell |
Numeric2BitVectorThresholdCellFactory.getCell(DataRow row)
Called from getCells. |
static DataCell |
BitVectorCell.load(Config config)
Deprecated. Loads a new cell using the properties from the given config. |
Methods in org.knime.base.data.bitvector with parameters of type DataCell | |
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boolean |
BitVectorCell.equalsDataCell(DataCell o)
Deprecated. Check if two BitVectorCells are equal. |
Uses of DataCell in org.knime.base.data.filter.column |
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Methods in org.knime.base.data.filter.column that return DataCell | |
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DataCell |
FilterColumnRow.getCell(int index)
Returns the data cell at the given index . |
Methods in org.knime.base.data.filter.column that return types with arguments of type DataCell | |
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Iterator<DataCell> |
FilterColumnRow.iterator()
|
Uses of DataCell in org.knime.base.data.join |
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Methods in org.knime.base.data.join that return DataCell | |
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static DataCell[] |
JoinedTable.createMissingCells(DataTableSpec spec)
Fills an array with missing values according to the spec. |
Uses of DataCell in org.knime.base.data.neural |
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Methods in org.knime.base.data.neural that return types with arguments of type DataCell | |
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HashMap<DataCell,Integer> |
MultiLayerPerceptron.getClassMapping()
Allows to get the class mapping from output neurons to class values. |
Method parameters in org.knime.base.data.neural with type arguments of type DataCell | |
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void |
MultiLayerPerceptron.setClassMapping(HashMap<DataCell,Integer> map)
Allows for setting the class mapping from output neurons to class values. |
Uses of DataCell in org.knime.base.data.replace |
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Methods in org.knime.base.data.replace that return DataCell | |
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DataCell |
ReplacedColumnsDataRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
abstract DataCell |
ReplacedCellFactory.getReplacement(DataRow row,
int column)
Computes the data cell that should replace the column -th
column in the given row. |
DataCell[] |
ReplacedCellFactory.getReplacement(DataRow row,
int[] columns)
Returns an array of length 1 containing the replacement of the data cell at the position given in the first element of the columns array. |
DataCell[] |
ReplacedCellsFactory.getReplacement(DataRow row,
int[] columns)
Computes the data cells that should replace the column -th
column in the given row. |
Methods in org.knime.base.data.replace that return types with arguments of type DataCell | |
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Iterator<DataCell> |
ReplacedColumnsDataRow.iterator()
|
Constructors in org.knime.base.data.replace with parameters of type DataCell | |
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ReplacedColumnsDataRow(DataRow row,
DataCell[] newCells,
int[] columns)
Creates a new replaced column row. |
|
ReplacedColumnsDataRow(DataRow row,
DataCell newCell,
int column)
Convenience constructor that replaces one cell only. |
Uses of DataCell in org.knime.base.data.statistics |
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Methods in org.knime.base.data.statistics that return DataCell | |
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DataCell[] |
StatisticsTable.getMax()
Deprecated. Returns the maximum for all columns. |
DataCell |
StatisticsTable.getMax(int colIdx)
Deprecated. Returns the maximum for the desired column. |
DataCell[] |
StatisticsTable.getMin()
Deprecated. Returns the minimum for all columns. |
DataCell |
StatisticsTable.getMin(int colIdx)
Deprecated. Returns the minimum for the desired column. |
Methods in org.knime.base.data.statistics that return types with arguments of type DataCell | |
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Map<DataCell,Integer> |
Statistics2Table.getNominalValues(int colIdx)
Returns a map containing DataCell value to number of occurrences. |
Uses of DataCell in org.knime.base.data.util |
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Methods in org.knime.base.data.util that return DataCell | |
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DataCell |
DataCellStringMapper.stringToDataCell(String str)
|
Methods in org.knime.base.data.util with parameters of type DataCell | |
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String |
DataCellStringMapper.dataCellToString(DataCell cell)
|
Uses of DataCell in org.knime.base.node.io.filereader |
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Methods in org.knime.base.node.io.filereader that return DataCell | |
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DataCell |
DataCellFactory.createDataCellOfType(DataType type,
String data)
Creates a DataCell of the specified type from the data passed. |
DataCell |
SmilesTypeHelper.newInstance(String smiles)
Creates a new SmilesCell using the given String as Smiles. |
Uses of DataCell in org.knime.base.node.mine.bayes.naivebayes.datamodel |
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Methods in org.knime.base.node.mine.bayes.naivebayes.datamodel with parameters of type DataCell | |
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(package private) void |
AttributeModel.addValue(String classValue,
DataCell attrValue)
Adds the given value to this attribute model. |
(package private) void |
NominalAttributeModel.addValueInternal(String classValue,
DataCell attrValue)
Adds the given value to the concrete implementation. |
(package private) abstract void |
AttributeModel.addValueInternal(String classValue,
DataCell attrValue)
Adds the given value to the concrete implementation. |
(package private) void |
NumericalAttributeModel.addValueInternal(String classValue,
DataCell attrValue)
Adds the given value to the concrete implementation. |
(package private) void |
ClassAttributeModel.addValueInternal(String classValue,
DataCell attrValue)
Adds the given value to the concrete implementation. |
(package private) Double |
AttributeModel.getProbability(String classValue,
DataCell attributeValue,
double laplaceCorrector)
|
(package private) double |
NominalAttributeModel.getProbabilityInternal(String classValue,
DataCell attributeValue,
double laplaceCorrector)
This should also handle missing values. |
(package private) abstract double |
AttributeModel.getProbabilityInternal(String classValue,
DataCell attributeValue,
double laplaceCorrector)
This should also handle missing values. |
(package private) double |
NumericalAttributeModel.getProbabilityInternal(String classValue,
DataCell attributeValue,
double laplaceCorrector)
This should also handle missing values. |
(package private) double |
ClassAttributeModel.getProbabilityInternal(String classValue,
DataCell attributeValue,
double laplaceCorrector)
This should also handle missing values. |
Uses of DataCell in org.knime.base.node.mine.bayes.naivebayes.predictor |
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Methods in org.knime.base.node.mine.bayes.naivebayes.predictor that return DataCell | |
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DataCell[] |
NaiveBayesCellFactory.getAppendedCell(DataRow row)
Get the new cells for a given row. |
DataCell[] |
NaiveBayesCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.mine.bfn |
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Fields in org.knime.base.node.mine.bfn declared as DataCell | |
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(package private) static DataCell |
OneMissingValueReplacementFunction.ONE
static one replacement value. |
(package private) static DataCell |
ZeroMissingValueReplacementFunction.ZERO
static zero replacement value. |
Methods in org.knime.base.node.mine.bfn that return DataCell | |
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(package private) DataCell |
BasisFunctionFilterRow.getBestClass()
|
DataCell |
BasisFunctionFilterRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
DataCell |
BasisFunctionLearnerRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
DataCell[] |
BasisFunctionPredictorCellFactory.getCells(DataRow row)
Predicts given row using the underlying basis function model. |
DataCell |
BasisFunctionLearnerRow.getClassLabel()
|
DataCell |
BasisFunctionPredictorRow.getClassLabel()
|
abstract DataCell |
BasisFunctionLearnerRow.getFinalCell(int index)
Returns a basis function cell for the given index. |
DataCell |
OneMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
ZeroMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
MeanMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
MaximumMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
MinimumMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
BestGuessMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
IncorpMissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
DataCell |
BasisFunctionLearnerTable.MissingValueReplacementFunction.getMissing(BasisFunctionFilterRow row,
int col,
BasisFunctionLearnerTable model)
This function returns the missing replacement value for a given value. |
protected DataCell[] |
BasisFunctionPredictorCellFactory.predict(DataRow row,
Map<DataCell,List<BasisFunctionPredictorRow>> model)
Predicts an unknown row to the given model. |
Methods in org.knime.base.node.mine.bfn that return types with arguments of type DataCell | |
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Map<DataCell,List<BasisFunctionPredictorRow>> |
BasisFunctionPortObject.getBasisFunctions()
|
Map<DataCell,List<BasisFunctionPredictorRow>> |
BasisFunctionModelContent.getBasisFunctions()
|
Map<DataCell,List<BasisFunctionLearnerRow>> |
BasisFunctionLearnerTable.getBasisFunctions()
Returns the map of basis functions list for each class. |
Iterator<DataCell> |
BasisFunctionFilterRow.iterator()
|
Iterator<DataCell> |
BasisFunctionLearnerRow.iterator()
|
Methods in org.knime.base.node.mine.bfn with parameters of type DataCell | |
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void |
BasisFunctionLearnerRow.addCovered(DataRow row,
DataCell classInfo)
If a new instance of this class is covered. |
abstract BasisFunctionLearnerRow |
BasisFunctionFactory.commit(RowKey key,
DataCell classInfo,
DataRow row)
Returns a new row initialised by a DataRow as its initial center vector and a class
label. |
(package private) void |
BasisFunctionPredictorRow.cover(DataRow row,
DataCell classLabel)
If the same class as this basisfunction is assigned to, the number of correctly covered pattern is increased, otherwise the number of wrong covered ones. |
(package private) double |
BasisFunctionFilterRow.getMatch(DataCell oClass)
Matching degree of the given class label. |
(package private) int |
BasisFunctionLearnerTable.getNumBasisFunctions(DataCell classInfo)
Returns the number of basis functions for the given class. |
Method parameters in org.knime.base.node.mine.bfn with type arguments of type DataCell | |
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protected DataCell[] |
BasisFunctionPredictorCellFactory.predict(DataRow row,
Map<DataCell,List<BasisFunctionPredictorRow>> model)
Predicts an unknown row to the given model. |
Constructors in org.knime.base.node.mine.bfn with parameters of type DataCell | |
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BasisFunctionLearnerRow(RowKey key,
DataRow centroid,
DataCell classInfo)
Initialise a new basisfunction rule with one covered pattern since this rule is also covered by itself. |
|
BasisFunctionPredictorRow(RowKey key,
DataCell classLabel,
double dontKnowDegree)
Creates new predictor row. |
Constructor parameters in org.knime.base.node.mine.bfn with type arguments of type DataCell | |
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BasisFunctionModelContent(DataTableSpec spec,
Map<DataCell,List<BasisFunctionLearnerRow>> bfs)
Creates a new basis function model object. |
|
BasisFunctionPredictorCellFactory(DataTableSpec dataSpec,
DataColumnSpec[] specs,
int[] filteredColumns,
Map<DataCell,List<BasisFunctionPredictorRow>> model,
double dontKnowClass,
boolean normClass,
boolean appendClassProps)
Appends one column to the given data to make a prediction for each row using the model which contains one BasisFunctionPredictorRow
column. |
|
BasisFunctionPredictorRowIterator(RowIterator rowIt,
Map<RowKey,DataCell> map)
Creates a new row iterator used for the basisfunction predictor node which extends the input rows by a new, additional class label column. |
Uses of DataCell in org.knime.base.node.mine.bfn.fuzzy |
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Methods in org.knime.base.node.mine.bfn.fuzzy that return DataCell | |
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DataCell |
FuzzyBasisFunctionLearnerRow.getFinalCell(int index)
Returns a basis function cell for the given index. |
Methods in org.knime.base.node.mine.bfn.fuzzy with parameters of type DataCell | |
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BasisFunctionLearnerRow |
FuzzyBasisFunctionFactory.commit(RowKey key,
DataCell classInfo,
DataRow row)
Creates and returns a new row initialised with a class label and a center vector. |
Constructors in org.knime.base.node.mine.bfn.fuzzy with parameters of type DataCell | |
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FuzzyBasisFunctionLearnerRow(RowKey key,
DataCell classInfo,
DataRow centroid,
int norm,
int shrink,
MutableDouble[] min,
MutableDouble[] max)
Creates a new learner row for fuzzy rules. |
|
FuzzyBasisFunctionPredictorRow(RowKey key,
DataCell classLabel,
MembershipFunction[] mem,
int norm)
Creates a new predictor as fuzzy rule. |
Uses of DataCell in org.knime.base.node.mine.bfn.fuzzy.membership |
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Methods in org.knime.base.node.mine.bfn.fuzzy.membership that return DataCell | |
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DataCell |
MembershipFunction.createFuzzyIntervalCell()
Returns a DataCell , either missing if undefined, or a
FuzzyIntervalCell using the membership function properties. |
Uses of DataCell in org.knime.base.node.mine.bfn.radial |
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Methods in org.knime.base.node.mine.bfn.radial that return DataCell | |
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DataCell |
RadialBasisFunctionLearnerRow.getFinalCell(int index)
Returns a basis function cell for the given index. |
Methods in org.knime.base.node.mine.bfn.radial with parameters of type DataCell | |
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BasisFunctionLearnerRow |
RadialBasisFunctionFactory.commit(RowKey key,
DataCell classInfo,
DataRow row)
Creates and returns a new RadialBasisFunctionLearnerRow
initialized with a center vector and a class label. |
Constructors in org.knime.base.node.mine.bfn.radial with parameters of type DataCell | |
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RadialBasisFunctionLearnerRow(RowKey key,
DataCell classInfo,
DataRow center,
double thetaMinus,
double thetaPlus,
int distance)
Creates a new radial basisfunction using the center vector as the anchor of the Gaussian function and also assigns class label for this prototype. |
|
RadialBasisFunctionPredictorRow(RowKey key,
DataRow center,
DataCell classLabel,
double thetaMinus,
int distance)
Creates a new predictor for PNN rules. |
Uses of DataCell in org.knime.base.node.mine.cluster.assign |
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Methods in org.knime.base.node.mine.cluster.assign that return DataCell | |
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DataCell |
Prototype.getLabel()
|
Constructors in org.knime.base.node.mine.cluster.assign with parameters of type DataCell | |
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Prototype(double[] values,
DataCell classlabel)
Prototype is initialized with double values and label. |
Uses of DataCell in org.knime.base.node.mine.cluster.fuzzycmeans |
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Methods in org.knime.base.node.mine.cluster.fuzzycmeans that return DataCell | |
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DataCell[] |
ClusterMembershipFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.mine.decisiontree2 |
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Methods in org.knime.base.node.mine.decisiontree2 that return DataCell | |
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(package private) DataCell |
TempTreeNodeContainer.getMajorityClass()
|
Methods in org.knime.base.node.mine.decisiontree2 that return types with arguments of type DataCell | |
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(package private) LinkedHashMap<DataCell,Double> |
TempTreeNodeContainer.getClassCounts()
|
Methods in org.knime.base.node.mine.decisiontree2 with parameters of type DataCell | |
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(package private) void |
TempTreeNodeContainer.addClassCount(DataCell className,
double value)
|
Uses of DataCell in org.knime.base.node.mine.decisiontree2.learner |
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Methods in org.knime.base.node.mine.decisiontree2.learner that return DataCell | |
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DataCell |
InMemoryTable.getMajorityClassAsCell()
Returns the majority class value as DataCell . |
DataCell[] |
InMemoryTable.getNominalValuesInMappingOrder(int attributeIndex)
Returns the nominal values for the given attribute index. |
DataCell[] |
SplitNominal.getSplitValues()
Returns the possible values of this splits attribute. |
Methods in org.knime.base.node.mine.decisiontree2.learner that return types with arguments of type DataCell | |
---|---|
LinkedHashMap<DataCell,Double> |
InMemoryTable.getClassFrequencies()
Returns the class frequencies as a LinkedHashMap
mapping class values (DataCell ) to the frequency as doubles. |
ValueMapper<DataCell> |
InMemoryTable.getClassValueMapper()
Returns the class value mapper of this table. |
ValueMapper<DataCell> |
InMemoryTable.getNominalAttributeValueMapper(int attributeIndex)
Returns the attribute value mapper of this table for the given attribute. |
Constructor parameters in org.knime.base.node.mine.decisiontree2.learner with type arguments of type DataCell | |
---|---|
InMemoryTable(ValueMapper<DataCell>[] nominalAttributeValueMapper,
ValueMapper<DataCell> classValueMapper,
ValueMapper<String> attributeNameMapper,
double minNumberRowsPerNode)
Creates an empty table that keeps all rows in memory. |
Uses of DataCell in org.knime.base.node.mine.decisiontree2.model |
---|
Methods in org.knime.base.node.mine.decisiontree2.model that return DataCell | |
---|---|
DataCell |
DecisionTreeNode.classifyPattern(DataRow row,
DataTableSpec spec)
Classify a new pattern given as a row of values. |
DataCell |
DecisionTree.classifyPattern(DataRow row,
DataTableSpec spec)
Classify a new pattern given as a row of values. |
DataCell |
DecisionTreeNode.getMajorityClass()
Return majority class of this node. |
DataCell[] |
DecisionTreeNodeSplitNominal.getSplitValues()
Deprecated. Returns the values array of this nodes split attribute. |
static DataCell |
DecisionTreeNode.getWinner(LinkedHashMap<DataCell,Double> classCounts)
Find the winning data cell. |
Methods in org.knime.base.node.mine.decisiontree2.model that return types with arguments of type DataCell | |
---|---|
LinkedHashMap<DataCell,Double> |
DecisionTreeNode.getClassCounts()
Return class counts, that is how many patterns (also fractions of) for each class were encountered in this branch during training. |
abstract LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplit.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitNominalBinary.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitPMML.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitContinuous.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitNominal.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplit.getClassCounts(DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
abstract LinkedHashMap<DataCell,Double> |
DecisionTreeNode.getClassCounts(DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitPMML.getClassCounts(DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeLeaf.getClassCounts(DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTree.getClassCounts(DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
protected LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplit.getNodeClassWeights()
Combines all class weights from _all_ branches of this node. |
Methods in org.knime.base.node.mine.decisiontree2.model with parameters of type DataCell | |
---|---|
abstract void |
DecisionTreeNodeSplit.addCoveredColor(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Add colors for patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitNominalBinary.addCoveredColor(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add colors for a pattern given as a row of values. |
void |
DecisionTreeNodeSplitPMML.addCoveredColor(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Add colors for patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitContinuous.addCoveredColor(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add colors for a pattern given as a row of values. |
void |
DecisionTreeNodeSplitNominal.addCoveredColor(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add colors for a pattern given as a row of values. |
abstract void |
DecisionTreeNodeSplit.addCoveredPattern(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Add patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitNominalBinary.addCoveredPattern(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitPMML.addCoveredPattern(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Add patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitContinuous.addCoveredPattern(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add patterns given as a row of values if they fall within a specific node. |
void |
DecisionTreeNodeSplitNominal.addCoveredPattern(DataCell cell,
DataRow row,
DataTableSpec spec,
double weight)
Deprecated. Add patterns given as a row of values if they fall within a specific node. |
abstract LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplit.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitNominalBinary.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitPMML.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitContinuous.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
LinkedHashMap<DataCell,Double> |
DecisionTreeNodeSplitNominal.getClassCounts(DataCell cell,
DataRow row,
DataTableSpec spec)
Deprecated. Determine class counts for a new pattern given as a row of values. |
Method parameters in org.knime.base.node.mine.decisiontree2.model with type arguments of type DataCell | |
---|---|
static DataCell |
DecisionTreeNode.getWinner(LinkedHashMap<DataCell,Double> classCounts)
Find the winning data cell. |
Constructors in org.knime.base.node.mine.decisiontree2.model with parameters of type DataCell | |
---|---|
DecisionTreeNode(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts)
Constructor of base class. |
|
DecisionTreeNodeLeaf(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts)
Constructor of base class. |
|
DecisionTreeNodeSplit(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute)
Constructor of base class. |
|
DecisionTreeNodeSplitContinuous(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DecisionTreeNode[] children,
double splitThreshold)
Deprecated. Constructor of base class. |
|
DecisionTreeNodeSplitNominal(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
DecisionTreeNode[] children)
Deprecated. Constructor of base class. |
|
DecisionTreeNodeSplitNominal(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
DecisionTreeNode[] children)
Deprecated. Constructor of base class. |
|
DecisionTreeNodeSplitNominalBinary(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
int[] splitMappingsLeft,
int[] splitMappingsRight,
DecisionTreeNode[] children)
Deprecated. Constructor for a nominal split in binary format. |
|
DecisionTreeNodeSplitNominalBinary(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
int[] splitMappingsLeft,
int[] splitMappingsRight,
DecisionTreeNode[] children)
Deprecated. Constructor for a nominal split in binary format. |
|
DecisionTreeNodeSplitPMML(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
PMMLPredicate[] splitPredicates,
DecisionTreeNode[] children)
Constructor of base class. |
|
DecisionTreeNodeSplitPMML(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
PMMLPredicate[] splitPredicates,
DecisionTreeNode[] children,
int defaultChild)
Constructor of base class. |
Constructor parameters in org.knime.base.node.mine.decisiontree2.model with type arguments of type DataCell | |
---|---|
DecisionTreeNode(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts)
Constructor of base class. |
|
DecisionTreeNodeLeaf(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts)
Constructor of base class. |
|
DecisionTreeNodeSplit(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute)
Constructor of base class. |
|
DecisionTreeNodeSplitContinuous(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DecisionTreeNode[] children,
double splitThreshold)
Deprecated. Constructor of base class. |
|
DecisionTreeNodeSplitNominal(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
DecisionTreeNode[] children)
Deprecated. Constructor of base class. |
|
DecisionTreeNodeSplitNominalBinary(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
DataCell[] splitValues,
int[] splitMappingsLeft,
int[] splitMappingsRight,
DecisionTreeNode[] children)
Deprecated. Constructor for a nominal split in binary format. |
|
DecisionTreeNodeSplitPMML(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
PMMLPredicate[] splitPredicates,
DecisionTreeNode[] children)
Constructor of base class. |
|
DecisionTreeNodeSplitPMML(int nodeId,
DataCell majorityClass,
LinkedHashMap<DataCell,Double> classCounts,
String splitAttribute,
PMMLPredicate[] splitPredicates,
DecisionTreeNode[] children,
int defaultChild)
Constructor of base class. |
Uses of DataCell in org.knime.base.node.mine.mds |
---|
Methods in org.knime.base.node.mine.mds that return DataCell | |
---|---|
DataCell[] |
MDSCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.mine.pca |
---|
Methods in org.knime.base.node.mine.pca that return DataCell | |
---|---|
protected static DataCell[] |
PCAReverseNodeModel.convertInputRow(Jama.Matrix eigenvectors,
DataRow row,
double[] means,
int[] inputColumnIndices,
int resultDimensions)
reduce a single input row to the principal components. |
protected static DataCell[] |
PCANodeModel.convertInputRow(Jama.Matrix eigenvectors,
DataRow row,
double[] means,
int[] inputColumnIndices,
int resultDimensions,
boolean failOnMissing)
reduce a single input row to the principal components. |
Uses of DataCell in org.knime.base.node.mine.regression |
---|
Methods in org.knime.base.node.mine.regression that return DataCell | |
---|---|
DataCell |
RegressionPortObject.predict(DataRow row)
Predict a row, returning the regression value. |
Uses of DataCell in org.knime.base.node.mine.regression.linear |
---|
Methods in org.knime.base.node.mine.regression.linear that return DataCell | |
---|---|
DataCell |
LinearRegressionContent.predict(DataRow row)
Predicts the target value for the given row. |
Uses of DataCell in org.knime.base.node.mine.scorer.accuracy |
---|
Methods in org.knime.base.node.mine.scorer.accuracy that return DataCell | |
---|---|
protected DataCell[] |
AccuracyScorerNodeModel.determineColValues(BufferedDataTable in,
int index1,
int index2,
ExecutionMonitor exec)
Called to determine all possible values in the respective columns. |
Methods in org.knime.base.node.mine.scorer.accuracy with parameters of type DataCell | |
---|---|
protected static int |
AccuracyScorerNodeModel.findValue(DataCell[] source,
DataCell key)
Finds the position where key is located in source. |
protected static int |
AccuracyScorerNodeModel.findValue(DataCell[] source,
DataCell key)
Finds the position where key is located in source. |
Uses of DataCell in org.knime.base.node.mine.smote |
---|
Methods in org.knime.base.node.mine.smote that return DataCell | |
---|---|
DataCell |
Smoter.getMajorityClass()
Get name of the majority class, i.e. |
Methods in org.knime.base.node.mine.smote that return types with arguments of type DataCell | |
---|---|
Iterator<DataCell> |
Smoter.getClassValues()
Get iterator of all classes that occur in the target column. |
Methods in org.knime.base.node.mine.smote with parameters of type DataCell | |
---|---|
int |
Smoter.getCount(DataCell name)
Get frequency of a class name in the input table. |
void |
Smoter.smote(DataCell name,
int count,
int kNN,
ExecutionMonitor exec)
Oversample the class name such that count
new rows are inserted. |
Uses of DataCell in org.knime.base.node.mine.sota.logic |
---|
Methods in org.knime.base.node.mine.sota.logic that return DataCell | |
---|---|
DataCell |
FuzzyHierarchyFilterRowContainer.getMaxValue(int colIdx)
|
DataCell |
FuzzyHierarchyFilterRowContainer.getMinValue(int colIdx)
|
Methods in org.knime.base.node.mine.sota.logic that return types with arguments of type DataCell | |
---|---|
Set<DataCell> |
FuzzyHierarchyFilterRowContainer.getValues(int colIdx)
Returns a set of all different values seen in the specified column. |
Methods in org.knime.base.node.mine.sota.logic with parameters of type DataCell | |
---|---|
void |
SotaDoubleCell.adjustCell(DataCell cell,
double learningrate)
Adjusts the cells value related to the given cell with given learningrate. |
void |
SotaCell.adjustCell(DataCell cell,
double learningrate)
Adjusts the cells value related to the given cell with given learningrate. |
void |
SotaFuzzyCell.adjustCell(DataCell cell,
double learningrate)
Adjusts the cells value related to the given cell with given learningrate. |
Uses of DataCell in org.knime.base.node.mine.sota.predictor |
---|
Methods in org.knime.base.node.mine.sota.predictor that return DataCell | |
---|---|
DataCell[] |
SotaPredictorCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.mine.subgroupminer.freqitemset |
---|
Methods in org.knime.base.node.mine.subgroupminer.freqitemset that return DataCell | |
---|---|
DataCell |
FrequentItemSetRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
Methods in org.knime.base.node.mine.subgroupminer.freqitemset that return types with arguments of type DataCell | |
---|---|
Iterator<DataCell> |
FrequentItemSetRow.iterator()
|
Uses of DataCell in org.knime.base.node.mine.svm.predictor |
---|
Methods in org.knime.base.node.mine.svm.predictor that return DataCell | |
---|---|
DataCell[] |
SVMPredictor.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.parallel.appender |
---|
Methods in org.knime.base.node.parallel.appender that return DataCell | |
---|---|
DataCell[] |
ExtendedCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.preproc.binner |
---|
Methods in org.knime.base.node.preproc.binner that return DataCell | |
---|---|
(package private) DataCell |
BinnerColumnFactory.apply(DataCell cell)
Apply a value to this bining trying to cover it at all available Bin s. |
DataCell[] |
BinnerColumnFactory.getCells(DataRow row)
Get the new cells for a given row. |
Methods in org.knime.base.node.preproc.binner with parameters of type DataCell | |
---|---|
(package private) DataCell |
BinnerColumnFactory.apply(DataCell cell)
Apply a value to this bining trying to cover it at all available Bin s. |
boolean |
BinnerColumnFactory.Bin.covers(DataCell value)
|
boolean |
NumericBin.covers(DataCell cell)
|
Uses of DataCell in org.knime.base.node.preproc.cellsplit |
---|
Methods in org.knime.base.node.preproc.cellsplit that return DataCell | |
---|---|
DataCell[] |
CellSplitterCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.preproc.cellsplitbypos |
---|
Methods in org.knime.base.node.preproc.cellsplitbypos that return DataCell | |
---|---|
DataCell[] |
CellSplitterByPosCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.preproc.colcompare |
---|
Methods in org.knime.base.node.preproc.colcompare with parameters of type DataCell | |
---|---|
(package private) abstract boolean |
ColumnComparatorNodeDialogPane.ComparatorMethod.compare(DataCell cell1,
DataCell cell2)
Compares both cell values using the comparator method. |
(package private) int |
ColumnComparatorNodeDialogPane.ComparatorMethod.compareValue(DataCell cell1,
DataCell cell2)
Compares both cell values using the most common's super type comparator. |
Uses of DataCell in org.knime.base.node.preproc.columnTrans |
---|
Methods in org.knime.base.node.preproc.columnTrans that return DataCell | |
---|---|
DataCell[] |
AbstractMany2OneCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
DataCell[] |
One2ManyCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
Uses of DataCell in org.knime.base.node.preproc.filter.row.rowfilter |
---|
Methods in org.knime.base.node.preproc.filter.row.rowfilter that return DataCell | |
---|---|
DataCell |
ColValFilterOldObsolete.getLowerBound()
Deprecated. |
DataCell |
RangeRowFilter.getLowerBound()
|
DataCell |
ColValFilterOldObsolete.getUpperBound()
Deprecated. |
DataCell |
RangeRowFilter.getUpperBound()
|
Constructors in org.knime.base.node.preproc.filter.row.rowfilter with parameters of type DataCell | |
---|---|
ColValFilterOldObsolete(DataValueComparator comp,
DataCell lowerBound,
DataCell upperBound,
String colName,
boolean include)
Deprecated. Creates a new filter that tests the value of the specified cell against the specified range. |
|
RangeRowFilter(String colName,
boolean include,
DataCell lowerBound,
DataCell upperBound)
Creates a filter that compares the value of a data cell in the specified column with the specified range. |
Uses of DataCell in org.knime.base.node.preproc.groupby.aggregation |
---|
Methods in org.knime.base.node.preproc.groupby.aggregation that return DataCell | |
---|---|
DataCell |
AggregationOperator.getResult()
|
protected DataCell |
NumericOperators.MinOperator.getResultInternal()
|
protected DataCell |
NumericOperators.MaxOperator.getResultInternal()
|
protected DataCell |
NumericOperators.MeanOperator.getResultInternal()
|
protected DataCell |
NumericOperators.SumOperator.getResultInternal()
|
protected DataCell |
NumericOperators.VarianceOperator.getResultInternal()
|
protected DataCell |
NumericOperators.StdDeviationOperator.getResultInternal()
|
protected abstract DataCell |
AggregationOperator.getResultInternal()
|
protected DataCell |
Operators.FirstOperator.getResultInternal()
|
protected DataCell |
Operators.LastOperator.getResultInternal()
|
protected DataCell |
Operators.ModeOperator.getResultInternal()
|
protected DataCell |
Operators.ConcatenateOperator.getResultInternal()
|
protected DataCell |
Operators.UniqueConcatenateOperator.getResultInternal()
|
protected DataCell |
Operators.UniqueCountOperator.getResultInternal()
|
protected DataCell |
Operators.UniqueConcatenateWithCountOperator.getResultInternal()
|
protected DataCell |
Operators.CountOperator.getResultInternal()
|
protected DataCell |
Operators.ListCellOperator.getResultInternal()
|
protected DataCell |
Operators.SetCellOperator.getResultInternal()
|
Methods in org.knime.base.node.preproc.groupby.aggregation with parameters of type DataCell | |
---|---|
void |
AggregationOperator.compute(DataCell cell)
|
protected boolean |
NumericOperators.MinOperator.computeInternal(DataCell cell)
|
protected boolean |
NumericOperators.MaxOperator.computeInternal(DataCell cell)
|
protected boolean |
NumericOperators.MeanOperator.computeInternal(DataCell cell)
|
protected boolean |
NumericOperators.SumOperator.computeInternal(DataCell cell)
|
protected boolean |
NumericOperators.VarianceOperator.computeInternal(DataCell cell)
|
protected abstract boolean |
AggregationOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.FirstOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.FirstValueOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.LastOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.LastValueOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.ModeOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.ConcatenateOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.UniqueConcatenateOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.UniqueCountOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.UniqueConcatenateWithCountOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.CountOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.ListCellOperator.computeInternal(DataCell cell)
|
protected boolean |
Operators.SetCellOperator.computeInternal(DataCell cell)
|
Uses of DataCell in org.knime.base.node.preproc.missingval |
---|
Methods in org.knime.base.node.preproc.missingval that return DataCell | |
---|---|
DataCell |
ColSetting.getFixCell()
|
protected DataCell |
MissingValueHandlingTable.getMax(int column)
Delegating method to StatisticsTable. |
protected DataCell |
MissingValueHandlingTable.getMin(int column)
Delegating method to StatisticsTable. |
protected DataCell |
MissingValueHandlingTable.getMostFrequent(int column)
Get the most frequent value in a column. |
Methods in org.knime.base.node.preproc.missingval with parameters of type DataCell | |
---|---|
void |
ColSetting.setFixCell(DataCell newFix)
|
Uses of DataCell in org.knime.base.node.preproc.pivot |
---|
Methods in org.knime.base.node.preproc.pivot that return DataCell | |
---|---|
(package private) abstract DataCell |
PivotAggregationMethod.done(Double[] agg)
Finally commits the aggregation value and computes the final output. |
Methods in org.knime.base.node.preproc.pivot with parameters of type DataCell | |
---|---|
(package private) abstract void |
PivotAggregationMethod.compute(Double[] agg,
DataCell value)
Uses the array returned by PivotAggregationMethod.init() to compute the next value. |
Uses of DataCell in org.knime.base.node.preproc.setoperator |
---|
Methods in org.knime.base.node.preproc.setoperator that return DataCell | |
---|---|
DataCell |
SetOperation.compute(DataCell cell1,
DataCell cell2,
boolean differentTypes)
|
DataCell |
RowKeyCellMap.getCell()
|
Methods in org.knime.base.node.preproc.setoperator that return types with arguments of type DataCell | |
---|---|
Comparator<DataCell> |
SingleColRowComparator.getComparator()
|
Methods in org.knime.base.node.preproc.setoperator with parameters of type DataCell | |
---|---|
static int |
SingleColRowComparator.compare(DataCell c1,
DataCell c2,
Comparator<DataCell> comp)
|
DataCell |
SetOperation.compute(DataCell cell1,
DataCell cell2,
boolean differentTypes)
|
Method parameters in org.knime.base.node.preproc.setoperator with type arguments of type DataCell | |
---|---|
static int |
SingleColRowComparator.compare(DataCell c1,
DataCell c2,
Comparator<DataCell> comp)
|
void |
SingleColRowComparator.setComparator(Comparator<DataCell> comp)
|
Constructors in org.knime.base.node.preproc.setoperator with parameters of type DataCell | |
---|---|
RowKeyCellMap(RowKey key,
DataCell cell)
Constructor for class RowKeyCellMap. |
Uses of DataCell in org.knime.base.node.preproc.sorter |
---|
Methods in org.knime.base.node.preproc.sorter that return types with arguments of type DataCell | |
---|---|
List<DataCell> |
SorterNodeDialogPanel.getIncludedColumnList()
Returns all columns from the include list. |
Method parameters in org.knime.base.node.preproc.sorter with type arguments of type DataCell | |
---|---|
void |
SorterNodeDialogPanel.update(DataTableSpec spec,
List<DataCell> incl,
boolean[] sortOrder)
Updates this panel by removing all current selections from the include and exclude list. |
Uses of DataCell in org.knime.base.node.util |
---|
Methods in org.knime.base.node.util that return DataCell | |
---|---|
DataCell |
DataArray.getMaxValue(int colIdx)
|
DataCell |
DefaultDataArray.getMaxValue(int colIdx)
|
DataCell |
DataArray.getMinValue(int colIdx)
|
DataCell |
DefaultDataArray.getMinValue(int colIdx)
|
Methods in org.knime.base.node.util that return types with arguments of type DataCell | |
---|---|
Set<DataCell> |
DataArray.getValues(int colIdx)
Returns a set of all different values seen in the specified column. |
Set<DataCell> |
DefaultDataArray.getValues(int colIdx)
Returns a set of all different values seen in the specified column. |
Methods in org.knime.base.node.util with parameters of type DataCell | |
---|---|
void |
DefaultDataArray.setMaxValue(int colIdx,
DataCell newMaxValue)
Sets a new max value for the specified column. |
void |
DefaultDataArray.setMinValue(int colIdx,
DataCell newMinValue)
Sets a new min value for the specified column. |
Uses of DataCell in org.knime.base.node.viz.aggregation |
---|
Methods in org.knime.base.node.viz.aggregation with parameters of type DataCell | |
---|---|
void |
AggregationValModel.addDataRow(Color color,
RowKey rowKey,
DataCell cell)
Adds a new row to this element. |
protected void |
AggregationValSubModel.addDataRow(RowKey rowKey,
DataCell aggrValCell)
Adds the given values to the sub element. |
Uses of DataCell in org.knime.base.node.viz.histogram.datamodel |
---|
Methods in org.knime.base.node.viz.histogram.datamodel that return DataCell | |
---|---|
DataCell |
BinDataModel.getXAxisCaptionCell()
|
Methods in org.knime.base.node.viz.histogram.datamodel that return types with arguments of type DataCell | |
---|---|
Set<DataCell> |
AbstractHistogramVizModel.getBinCaptions()
|
Methods in org.knime.base.node.viz.histogram.datamodel with parameters of type DataCell | |
---|---|
void |
BinDataModel.addDataRow(RowKey id,
Color rowColor,
Collection<ColorColumn> aggrCols,
DataCell... aggrVals)
|
void |
FixedHistogramDataModel.addDataRow(RowKey id,
Color rowColor,
DataCell xCell,
DataCell... aggrCells)
Adds the given row values to the histogram. |
void |
FixedHistogramDataModel.addDataRow(RowKey id,
Color rowColor,
DataCell xCell,
DataCell... aggrCells)
Adds the given row values to the histogram. |
Uses of DataCell in org.knime.base.node.viz.histogram.util |
---|
Methods in org.knime.base.node.viz.histogram.util with parameters of type DataCell | |
---|---|
static int |
BinningUtil.addDataRow2Bin(boolean binNominal,
List<? extends BinDataModel> bins,
BinDataModel missingValueBin,
int startBin,
DataCell xCell,
Color rowColor,
RowKey id,
Collection<ColorColumn> aggrColumns,
DataCell... aggrCells)
Adds the given row either to the missing value bin if the x value is missing or to the corresponding bin. |
static int |
BinningUtil.addDataRow2Bin(boolean binNominal,
List<? extends BinDataModel> bins,
BinDataModel missingValueBin,
int startBin,
DataCell xCell,
Color rowColor,
RowKey id,
Collection<ColorColumn> aggrColumns,
DataCell... aggrCells)
Adds the given row either to the missing value bin if the x value is missing or to the corresponding bin. |
static boolean |
BinningUtil.checkDomainRange(DataCell cell,
DataColumnSpec spec)
Checks if the given cell is in the domain range of the given DataColumnSpec . |
static double |
BinningUtil.getNumericValue(DataCell cell)
Checks if the given DataCell is a numeric cell and returns
the numeric value. |
Uses of DataCell in org.knime.base.node.viz.pie.datamodel.fixed |
---|
Methods in org.knime.base.node.viz.pie.datamodel.fixed with parameters of type DataCell | |
---|---|
void |
FixedPieDataModel.addDataRow(DataRow row,
Color rowColor,
DataCell pieCell,
DataCell aggrCell)
|
Uses of DataCell in org.knime.base.node.viz.plotter |
---|
Methods in org.knime.base.node.viz.plotter with parameters of type DataCell | |
---|---|
protected int |
AbstractPlotter.getMappedXValue(DataCell x)
|
protected int |
AbstractPlotter.getMappedYValue(DataCell y)
|
Method parameters in org.knime.base.node.viz.plotter with type arguments of type DataCell | |
---|---|
void |
AbstractPlotter.createNominalXCoordinate(Set<DataCell> values)
Creates a nominal x axis. |
void |
AbstractPlotter.createNominalYCoordinate(Set<DataCell> values)
Creates a nominal y axis. |
Uses of DataCell in org.knime.base.node.viz.plotter.basic |
---|
Methods in org.knime.base.node.viz.plotter.basic that return DataCell | |
---|---|
DataCell |
DataCellPoint.getX()
|
DataCell |
DataCellPoint.getY()
|
Methods in org.knime.base.node.viz.plotter.basic with parameters of type DataCell | |
---|---|
void |
BasicPlotter.addText(String text,
DataCell x,
DataCell y,
Color color)
Adds a text at the position defined by the values of the both DataCell s (lower-left corner). |
void |
DataCellPoint.setX(DataCell x)
|
void |
DataCellPoint.setY(DataCell y)
|
Constructors in org.knime.base.node.viz.plotter.basic with parameters of type DataCell | |
---|---|
DataCellPoint(DataCell x,
DataCell y)
A point represented by two data cells. |
Uses of DataCell in org.knime.base.node.viz.plotter.parcoord |
---|
Methods in org.knime.base.node.viz.plotter.parcoord that return types with arguments of type DataCell | |
---|---|
List<DataCell> |
LineInfo.getDomainValues()
|
Methods in org.knime.base.node.viz.plotter.parcoord with parameters of type DataCell | |
---|---|
double |
ParallelAxis.getMappedValue(DataCell cell)
|
Method parameters in org.knime.base.node.viz.plotter.parcoord with type arguments of type DataCell | |
---|---|
void |
LineInfo.setDomainValues(List<DataCell> domainValues)
|
Constructor parameters in org.knime.base.node.viz.plotter.parcoord with type arguments of type DataCell | |
---|---|
LineInfo(List<Point> points,
List<DataCell> domainValues,
boolean isSelected,
boolean isHilite,
ColorAttr color,
double size,
RowKey rowKey)
Creates a line. |
Uses of DataCell in org.knime.base.node.viz.plotter.scatter |
---|
Methods in org.knime.base.node.viz.plotter.scatter that return DataCell | |
---|---|
DataCell |
DotInfo.getXDomainValue()
|
DataCell |
DotInfo.getYDomainValue()
|
Methods in org.knime.base.node.viz.plotter.scatter with parameters of type DataCell | |
---|---|
protected int |
ScatterPlotter.getMappedXValue(DataCell x)
|
protected int |
ScatterPlotter.getMappedYValue(DataCell y)
|
void |
DotInfo.setXDomainValue(DataCell xDomainValue)
|
void |
DotInfo.setYDomainValue(DataCell yDomainValue)
|
Uses of DataCell in org.knime.base.node.viz.property.color |
---|
Methods in org.knime.base.node.viz.property.color that return DataCell | |
---|---|
DataCell |
ColorManager2Icon.getCell()
|
Methods in org.knime.base.node.viz.property.color that return types with arguments of type DataCell | |
---|---|
(package private) static Map<DataCell,ColorAttr> |
ColorManager2DialogNominal.createColorMapping(Set<DataCell> set)
Create default color mapping for the given set of possible DataCell values. |
Methods in org.knime.base.node.viz.property.color with parameters of type DataCell | |
---|---|
(package private) void |
ColorManager2DialogRange.add(String column,
DataCell low,
DataCell upp)
Add new column with lower and upper bound. |
Method parameters in org.knime.base.node.viz.property.color with type arguments of type DataCell | |
---|---|
(package private) void |
ColorManager2DialogNominal.add(String column,
Set<DataCell> set)
Adds the given set of possible values to the internal structure by the given column name. |
(package private) static Map<DataCell,ColorAttr> |
ColorManager2DialogNominal.createColorMapping(Set<DataCell> set)
Create default color mapping for the given set of possible DataCell values. |
Constructors in org.knime.base.node.viz.property.color with parameters of type DataCell | |
---|---|
ColorManager2Icon(DataCell cell,
Color color)
Creates new squared color icon. |
|
ColorManager2Icon(DataCell cell,
String prefix,
Color color)
Creates new squared color icon. |
Uses of DataCell in org.knime.base.node.viz.roc |
---|
Methods in org.knime.base.node.viz.roc that return DataCell | |
---|---|
DataCell |
ROCSettings.getPositiveClass()
Returns the value from the class column that represents the "positive" class. |
Methods in org.knime.base.node.viz.roc with parameters of type DataCell | |
---|---|
void |
ROCSettings.setPositiveClass(DataCell value)
Sets the value from the class column that represents the "positive" class. |
Uses of DataCell in org.knime.base.util.coordinate |
---|
Methods in org.knime.base.util.coordinate that return DataCell | |
---|---|
protected DataCell |
Coordinate.applyMappingMethod(DataCell datacell)
Applies the mapping method. |
DataCell |
LogarithmicMappingMethod.doMapping(DataCell in)
Maps the value according to its task. |
DataCell |
SquareRootMappingMethod.doMapping(DataCell cell)
Maps the value according to its task. |
DataCell |
MappingMethod.doMapping(DataCell cell)
Maps the value according to its task. |
Methods in org.knime.base.util.coordinate with parameters of type DataCell | |
---|---|
protected DataCell |
Coordinate.applyMappingMethod(DataCell datacell)
Applies the mapping method. |
double |
Coordinate.calculateMappedValue(DataCell domainValueCell,
double absoluteLength)
Returns the mapping of a domain value for this coordinate axis. |
double |
Coordinate.calculateMappedValue(DataCell domainValueCell,
double absoluteLength,
boolean naturalMapping)
Deprecated. Use Coordinate.calculateMappedValue(DataCell, double) instead. |
abstract double |
PolicyStrategy.calculateMappedValue(DataCell domainValueCell,
double absoluteLength,
double minDomainValue,
double maxDomainValue)
Calculates the mapped value. |
double |
AscendingNumericTickPolicyStrategy.calculateMappedValue(DataCell domainValueCell,
double absoluteLength,
double minDomainValue,
double maxDomainValue)
Calculates the mapped value. |
double |
PolicyStrategy.calculateMappedValue(DataCell domainValueCell,
double absoluteLength,
double minDomainValue,
double maxDomainValue,
double negativeInfinity,
double positiveInfinity)
Calculates the mapped value. |
protected double |
NominalCoordinate.calculateMappedValueInternal(DataCell domainValueCell,
double absoluteLength)
Calculates a numeric mapping assuming a column with a given number of possible values. |
protected double |
IntegerCoordinate.calculateMappedValueInternal(DataCell domainValueCell,
double absoluteLength)
Calculates a numeric mapping assuming a DoubleCell . |
protected abstract double |
NumericCoordinate.calculateMappedValueInternal(DataCell domainValueCell,
double absolutLength)
Calculates a numeric mapping assuming a DoubleCell . |
protected double |
DoubleCoordinate.calculateMappedValueInternal(DataCell domainValueCell,
double absoluteLength)
Calculates a numeric mapping assuming a DoubleCell . |
protected abstract double |
Coordinate.calculateMappedValueInternal(DataCell domainValueCell,
double absoluteLength)
Returns the mapping of a domain value for this coordinate axis. |
void |
NominalCoordinate.changeValuePosition(DataCell nomValue,
int index)
Changes the position of a nominal value on the axis. |
DataCell |
LogarithmicMappingMethod.doMapping(DataCell in)
Maps the value according to its task. |
DataCell |
SquareRootMappingMethod.doMapping(DataCell cell)
Maps the value according to its task. |
DataCell |
MappingMethod.doMapping(DataCell cell)
Maps the value according to its task. |
double |
LogarithmicMappingMethod.getLabel(DataCell cell)
Maps a value back to the original domain value for tick generation. |
double |
SquareRootMappingMethod.getLabel(DataCell cell)
Maps a value back to the original domain value for tick generation. |
double |
MappingMethod.getLabel(DataCell cell)
Maps a value back to the original domain value for tick generation. |
Uses of DataCell in org.knime.core.data |
---|
Classes in org.knime.core.data with type parameters of type DataCell | |
---|---|
interface |
DataCellSerializer<T extends DataCell>
Interface for classes that can read or write specific DataCell
implementations. |
Methods in org.knime.core.data with type parameters of type DataCell | ||
---|---|---|
static
|
DataType.getCellSerializer(Class<T> cl)
Returns a DataCellSerializer for the runtime
class of a DataCell or null if
the passed class of type DataCell does not
implement |
Methods in org.knime.core.data that return DataCell | |
---|---|
DataCell |
DataRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
DataCell |
DataColumnDomain.getLowerBound()
Return the lower bound of the domain of this column, if available. |
static DataCell |
DataType.getMissingCell()
A cell representing a missing DataCell
where the value is unknown. |
DataCell |
DataColumnDomain.getUpperBound()
Return the upper bound of the domain of this column, if available. |
DataCell |
DataCellDataInput.readDataCell()
Reads a DataCell as written by the accompanying
write method in class
DataCellDataOutput . |
Methods in org.knime.core.data that return types with arguments of type DataCell | |
---|---|
Set<DataCell> |
DataColumnDomain.getValues()
Returns all possible values in this column. |
Methods in org.knime.core.data with parameters of type DataCell | |
---|---|
int |
DataValueComparator.compare(DataCell c1,
DataCell c2)
This final implementation checks and handles DataCell s representing missing values,
before it delegates the actual comparison
to the derived class, by calling
DataValueComparator.compareDataValues(DataValue, DataValue) . |
protected abstract boolean |
DataCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
void |
DataColumnDomainCreator.setLowerBound(DataCell lower)
Sets a (new) lower bound which can be null . |
void |
DataColumnDomainCreator.setUpperBound(DataCell upper)
Sets (new) upper bound which can be null . |
void |
DataCellDataOutput.writeDataCell(DataCell cell)
Writes a given DataCell to the output stream. |
Method parameters in org.knime.core.data with type arguments of type DataCell | |
---|---|
static DataType |
DataType.getType(Class<? extends DataCell> cell)
Returns the runtime DataType for a
DataCell
implementation. |
static DataType |
DataType.getType(Class<? extends DataCell> cellImplementsCollectionDataValue,
DataType collectionElementType)
Implementation of DataType.getType(Class) dedicated for special cell
classes that represent collections of DataCell . |
void |
DataColumnDomainCreator.setValues(Set<DataCell> values)
Sets a (new) Set of possible values which can be
null . |
Constructors in org.knime.core.data with parameters of type DataCell | |
---|---|
DataColumnDomain(DataCell lower,
DataCell upper,
Set<DataCell> values)
Create new column domain with lower and upper bounds, and set of possible values. |
|
DataColumnDomainCreator(DataCell[] values)
Creates a new domain creator with the given array of values. |
|
DataColumnDomainCreator(DataCell[] values,
DataCell lowerBound,
DataCell upperBound)
Creates a new domain creator with an array of possible values, and a lower and upper bound. |
|
DataColumnDomainCreator(DataCell[] values,
DataCell lowerBound,
DataCell upperBound)
Creates a new domain creator with an array of possible values, and a lower and upper bound. |
|
DataColumnDomainCreator(DataCell lowerBound,
DataCell upperBound)
Creates a new domain creator with the given lower and upper bound. |
|
DataColumnDomainCreator(Set<DataCell> values,
DataCell lowerBound,
DataCell upperBound)
Creates a new domain creator with a Set of possible values, and a
lower and upper bound. |
Constructor parameters in org.knime.core.data with type arguments of type DataCell | |
---|---|
DataColumnDomain(DataCell lower,
DataCell upper,
Set<DataCell> values)
Create new column domain with lower and upper bounds, and set of possible values. |
|
DataColumnDomainCreator(Set<DataCell> values)
Creates a new domain creator with a Set of possible values. |
|
DataColumnDomainCreator(Set<DataCell> values,
DataCell lowerBound,
DataCell upperBound)
Creates a new domain creator with a Set of possible values, and a
lower and upper bound. |
Uses of DataCell in org.knime.core.data.collection |
---|
Subclasses of DataCell in org.knime.core.data.collection | |
---|---|
class |
ListCell
Default implementation of a CollectionDataValue , whereby the
underlying data structure is a list. |
class |
SetCell
Default implementation of a CollectionDataValue , whereas the
underlying data structure is a set (i.e. |
Methods in org.knime.core.data.collection that return DataCell | |
---|---|
DataCell |
BlobSupportDataCellList.get(int index)
Returns the element at the specified position of the list. |
DataCell |
ListDataValue.get(int index)
Returns the cell at the specified position in the list. |
DataCell |
ListCell.get(int index)
Returns the cell at the specified position in the list. |
DataCell |
BlobSupportDataCellList.getWithBlobSupport(int index)
Returns the element at the specified position of the list. |
DataCell |
DefaultBlobSupportDataCellIterator.next()
|
DataCell |
BlobSupportDataCellIterator.nextWithBlobSupport()
Get the next DataCell, not unwrapping the blob when it is a BlobWrapperDataCell . |
DataCell |
DefaultBlobSupportDataCellIterator.nextWithBlobSupport()
Get the next DataCell, not unwrapping the blob when it is a BlobWrapperDataCell . |
Methods in org.knime.core.data.collection that return types with arguments of type DataCell | |
---|---|
Iterator<DataCell> |
BlobSupportDataCellList.iterator()
|
Iterator<DataCell> |
BlobSupportDataCellSet.iterator()
|
Iterator<DataCell> |
CollectionDataValue.iterator()
|
Iterator<DataCell> |
ListCell.iterator()
|
Iterator<DataCell> |
SetCell.iterator()
|
Methods in org.knime.core.data.collection with parameters of type DataCell | |
---|---|
boolean |
BlobSupportDataCellSet.contains(DataCell cell)
Returns true if the set contains the specified cell. |
boolean |
SetDataValue.contains(DataCell cell)
Returns true if the collection contains the specified cell. |
boolean |
SetCell.contains(DataCell cell)
Returns true if the collection contains the specified cell. |
protected boolean |
ListCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
SetCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
Method parameters in org.knime.core.data.collection with type arguments of type DataCell | |
---|---|
static BlobSupportDataCellList |
BlobSupportDataCellList.create(Collection<? extends DataCell> coll)
Factory method to create a list based on a collection. |
static BlobSupportDataCellSet |
BlobSupportDataCellSet.create(Collection<? extends DataCell> coll)
Factory method to create a set of data cells based on a collection. |
static ListCell |
CollectionCellFactory.createListCell(Collection<? extends DataCell> coll)
Factory method to create a ListCell based on a collection. |
static SetCell |
CollectionCellFactory.createSetCell(Collection<? extends DataCell> coll)
Factory method to create a SetCell that contains a data cell set
based on a collection. |
Constructor parameters in org.knime.core.data.collection with type arguments of type DataCell | |
---|---|
BlobSupportDataCellList(Collection<? extends DataCell> coll)
Creates new instance based on a collection of data cells. |
|
BlobSupportDataCellSet(Collection<? extends DataCell> cells)
Rather use one of the factory methods to create a new set. |
|
DefaultBlobSupportDataCellIterator(Iterator<DataCell> it)
Create new instance by wrapping an existing iterator. |
Uses of DataCell in org.knime.core.data.container |
---|
Subclasses of DataCell in org.knime.core.data.container | |
---|---|
class |
BlobDataCell
Abstract Binary large object cell used to handle potentially large cells. |
class |
BlobWrapperDataCell
Wrapper for BlobDataCell . |
Methods in org.knime.core.data.container that return DataCell | |
---|---|
DataCell |
BlobWrapperDataCell.getCell()
Fetches the content of the blob cell. |
abstract DataCell |
SingleCellFactory.getCell(DataRow row)
Called from getCells. |
DataCell |
BlobSupportDataRow.getCell(int index)
If the cell at index is a blob wrapper cell, it will fetch the content and return it. |
DataCell[] |
CellFactory.getCells(DataRow row)
Get the new cells for a given row. |
DataCell[] |
SingleCellFactory.getCells(DataRow row)
Get the new cells for a given row. |
DataCell |
BlobSupportDataRow.getRawCell(int index)
Returns the cell at given index. |
DataCell |
DCObjectInputStream.readDataCell(DataCellSerializer<? extends DataCell> serializer)
Reads a data cell from the stream and pushes the stream forward to the end of the block. |
(package private) DataCell |
BufferFromFileIteratorVersion20.DataCellStreamReader.readDataCell(DCObjectInputVersion2 inStream)
Reads a data cell from the argument stream. |
(package private) DataCell |
DCObjectInputVersion2.readDataCellPerJavaSerialization()
Reads a data cell from the stream using java de-serialization. |
(package private) DataCell |
DCObjectInputVersion2.readDataCellPerKNIMESerializer(DataCellSerializer<? extends DataCell> serializer)
Reads a data cell from the stream. |
Methods in org.knime.core.data.container that return types with arguments of type DataCell | |
---|---|
(package private) Class<? extends DataCell> |
CellClassInfo.getCellClass()
|
Iterator<DataCell> |
BlobSupportDataRow.iterator()
|
Methods in org.knime.core.data.container with parameters of type DataCell | |
---|---|
protected boolean |
BlobWrapperDataCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
(package private) static CellClassInfo |
CellClassInfo.get(DataCell cell)
Access method to retrieve the CellClassInfo for a given DataCell. |
(package private) void |
Buffer.writeDataCell(DataCell cell,
DCObjectOutputVersion2 outStream)
Writes a data cell to the outStream. |
(package private) void |
DCObjectOutputVersion2.writeDataCellPerJavaSerialization(DataCell cell)
Writes a cell using java serialization. |
(package private) void |
DCObjectOutputVersion2.writeDataCellPerKNIMESerializer(DataCellSerializer<DataCell> serializer,
DataCell cell)
Writes a data cell using the serializer. |
Method parameters in org.knime.core.data.container with type arguments of type DataCell | |
---|---|
(package private) static CellClassInfo |
CellClassInfo.get(Class<? extends DataCell> cellClass,
DataType collectionElementType)
Same as CellClassInfo.get(DataCell) , only with resolved arguments. |
DataCell |
DCObjectInputStream.readDataCell(DataCellSerializer<? extends DataCell> serializer)
Reads a data cell from the stream and pushes the stream forward to the end of the block. |
(package private) DataCell |
DCObjectInputVersion2.readDataCellPerKNIMESerializer(DataCellSerializer<? extends DataCell> serializer)
Reads a data cell from the stream. |
(package private) void |
DCObjectOutputVersion2.writeDataCellPerKNIMESerializer(DataCellSerializer<DataCell> serializer,
DataCell cell)
Writes a data cell using the serializer. |
Constructors in org.knime.core.data.container with parameters of type DataCell | |
---|---|
BlobSupportDataRow(RowKey key,
DataCell[] cells)
|
Uses of DataCell in org.knime.core.data.date |
---|
Subclasses of DataCell in org.knime.core.data.date | |
---|---|
class |
DateAndTimeCell
Cell storing a time and/or date. |
Methods in org.knime.core.data.date with parameters of type DataCell | |
---|---|
protected boolean |
DateAndTimeCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
Uses of DataCell in org.knime.core.data.def |
---|
Subclasses of DataCell in org.knime.core.data.def | |
---|---|
class |
ComplexNumberCell
A data cell implementation holding a complex number value by storing this value in two double member variables. |
class |
DoubleCell
A data cell implementation holding a double value by storing this value in a private double member. |
class |
FuzzyIntervalCell
A data cell implementation holding a fuzzy interval as value by storing this value in four private double members, two for the min/max
values of the support, and two for the min/max values of the core of the
fuzzy interval. |
class |
FuzzyNumberCell
A data cell implementation holding a Fuzzy number by storing this value in three private double members, that is one for the core and two
for the min/max of the support. |
class |
IntCell
A data cell implementation holding an integer value by storing this value in a private int member. |
class |
IntervalCell
A DataCell implementation holding a numeric interval as value
by storing left and right bound. |
class |
LongCell
|
class |
StringCell
A data cell implementation holding a string value by storing this value in a private String member. |
class |
TimestampCell
Deprecated. Date and time in KNIME is represented by DateAndTimeValue and
DateAndTimeCell . This class will be removed
in future versions of KNIME. |
Methods in org.knime.core.data.def that return DataCell | |
---|---|
DataCell |
JoinedRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
DataCell |
DefaultRow.getCell(int index)
Returns the DataCell at the provided index within this row. |
DataCell |
DefaultCellIterator.next()
|
Methods in org.knime.core.data.def that return types with arguments of type DataCell | |
---|---|
Iterator<DataCell> |
JoinedRow.iterator()
|
Iterator<DataCell> |
DefaultRow.iterator()
|
Methods in org.knime.core.data.def with parameters of type DataCell | |
---|---|
protected boolean |
LongCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
ComplexNumberCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
FuzzyNumberCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
TimestampCell.equalsDataCell(DataCell dc)
Deprecated. Derived classes implement their specific equals function here. |
protected boolean |
IntervalCell.equalsDataCell(DataCell dc)
Checks if this and the given cell have equal values. |
protected boolean |
StringCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
DoubleCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
IntCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
FuzzyIntervalCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
Constructors in org.knime.core.data.def with parameters of type DataCell | |
---|---|
DefaultRow(RowKey rowKey,
DataCell... row)
Inits a new DefaultRow object by row key and an array of
DataCell s. |
|
DefaultRow(String rowId,
DataCell... row)
Inits a new DefaultRow object by row id and an array of
DataCell s. |
Constructor parameters in org.knime.core.data.def with type arguments of type DataCell | |
---|---|
DefaultRow(RowKey rowKey,
List<DataCell> row)
Inits a new DefaultRow object by row id and an array of
DataCell s. |
|
DefaultRow(String rowId,
List<DataCell> row)
Inits a new DefaultRow object by row id and an array of
DataCell s. |
Uses of DataCell in org.knime.core.data.property |
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Methods in org.knime.core.data.property that return types with arguments of type DataCell | |
---|---|
Iterator<DataCell> |
ShapeModelNominal.iterator()
Returns an iterator over the keys. |
Iterator<DataCell> |
ColorModelNominal.iterator()
Returns an iterator over the keys. |
Methods in org.knime.core.data.property with parameters of type DataCell | |
---|---|
ColorAttr |
ColorHandler.getColorAttr(DataCell dc)
Returns a ColorAttr object as specified by the content
of the given DataCell . |
ColorAttr |
ColorHandler.ColorModel.getColorAttr(DataCell dc)
Returns a ColorAttr for the given DataCell . |
ColorAttr |
ColorModelRange.getColorAttr(DataCell dc)
Returns a ColorAttr for the given DataCell value, or ColorAttr.DEFAULT if not set. |
ColorAttr |
ColorModelNominal.getColorAttr(DataCell dc)
Returns a ColorAttr for the given DataCell value, or ColorAttr.DEFAULT if not set. |
ShapeFactory.Shape |
ShapeModelNominal.getShape(DataCell dc)
Returns a Shape for the given DataCell value, or ShapeFactory.DEFAULT if not set. |
ShapeFactory.Shape |
ShapeHandler.getShape(DataCell dc)
Returns a Shape of the given DataCell . |
ShapeFactory.Shape |
ShapeHandler.ShapeModel.getShape(DataCell dc)
Returns a Shape object for a given
DataCell . |
double |
SizeModelDouble.getSize(DataCell dc)
Deprecated. use SizeModelDouble.getSizeFactor(DataCell) instead. |
double |
SizeHandler.getSize(DataCell dc)
Deprecated. use SizeHandler.getSizeFactor(DataCell) instead |
double |
SizeHandler.SizeModel.getSize(DataCell dc)
Deprecated. use SizeHandler.SizeModel.getSizeFactor(DataCell) instead. |
double |
SizeModelDouble.getSizeFactor(DataCell dc)
Computes the size based on the actual value of the provided cell, the interval, the scaling factor and the mapping method. |
double |
SizeHandler.getSizeFactor(DataCell dc)
Returns the size as a scaling factor (in [1, )). |
double |
SizeHandler.SizeModel.getSizeFactor(DataCell dc)
|
Constructor parameters in org.knime.core.data.property with type arguments of type DataCell | |
---|---|
ColorModelNominal(Map<DataCell,ColorAttr> map)
Creates new ColorHandler based on a mapping. |
|
ShapeModelNominal(Map<DataCell,ShapeFactory.Shape> map)
Creates new nominal ShapeModel based on a mapping. |
Uses of DataCell in org.knime.core.data.util |
---|
Methods in org.knime.core.data.util that return DataCell | |
---|---|
DataCell |
ObjectToDataCellConverter.createDataCell(boolean b)
Deprecated. Creates new IntCell for a boolean having value
1 if b==true or 0 if b==false . |
DataCell |
ObjectToDataCellConverter.createDataCell(byte b)
Deprecated. Creates new IntCell for a byte. |
DataCell |
ObjectToDataCellConverter.createDataCell(double d)
Deprecated. Creates new DoubleCell for a double. |
DataCell |
ObjectToDataCellConverter.createDataCell(float f)
Deprecated. Creates new DoubleCell for a float. |
DataCell |
ObjectToDataCellConverter.createDataCell(int i)
Deprecated. Creates new IntCell for an int. |
DataCell |
ObjectToDataCellConverter.createDataCell(Object o)
Deprecated. Factory method to get DataCell s from basic types. |
Uses of DataCell in org.knime.core.data.vector.bitvector |
---|
Subclasses of DataCell in org.knime.core.data.vector.bitvector | |
---|---|
class |
DenseBitVectorCell
Stores Zeros and Ones in a vector, i.e. |
class |
SparseBitVectorCell
Stores Zeros and Ones in a vector, i.e. |
Methods in org.knime.core.data.vector.bitvector with parameters of type DataCell | |
---|---|
protected boolean |
SparseBitVectorCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
DenseBitVectorCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
Uses of DataCell in org.knime.core.data.vector.bytevector |
---|
Subclasses of DataCell in org.knime.core.data.vector.bytevector | |
---|---|
class |
DenseByteVectorCell
|
class |
SparseByteVectorCell
|
Methods in org.knime.core.data.vector.bytevector with parameters of type DataCell | |
---|---|
protected boolean |
SparseByteVectorCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
protected boolean |
DenseByteVectorCell.equalsDataCell(DataCell dc)
Derived classes implement their specific equals function here. |
Uses of DataCell in org.knime.core.node.config |
---|
Fields in org.knime.core.node.config with type parameters of type DataCell | |
---|---|
static Class<? extends DataCell> |
Config.DataCellEntry.MissingCellEntry.CLASS
DataType.getMissingCell().getClass() . |
Methods in org.knime.core.node.config that return DataCell | |
---|---|
DataCell |
Config.DataCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.StringCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.DoubleCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.IntCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.DateAndTimeCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.MissingCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.ComplexNumberCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.FuzzyIntervalCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.DataCellEntry.FuzzyNumberCellEntry.createCell(ConfigRO config)
Create DataCell on given Config . |
DataCell |
Config.getDataCell(String key)
Return DataCell for key. |
DataCell |
ConfigRO.getDataCell(String key)
Return DataCell for key. |
DataCell |
Config.getDataCell(String key,
DataCell def)
Return a DataCell which can be null, or the default value if the key is not available. |
DataCell |
ConfigRO.getDataCell(String key,
DataCell def)
Return a DataCell which can be null, or the default value if the key is not available. |
DataCell[] |
Config.getDataCellArray(String key)
Return DataCell array. |
DataCell[] |
ConfigRO.getDataCellArray(String key)
Return DataCell array. |
DataCell[] |
Config.getDataCellArray(String key,
DataCell... def)
Return DataCell array which can be null for key, or the default array if the key is not available. |
DataCell[] |
ConfigRO.getDataCellArray(String key,
DataCell... def)
Return DataCell array which can be null for key, or the default array if the key is not available. |
Methods in org.knime.core.node.config with parameters of type DataCell | |
---|---|
void |
Config.addDataCell(String key,
DataCell cell)
Adds this DataCell object to the Config by the given key. |
void |
ConfigWO.addDataCell(String key,
DataCell cell)
Adds this DataCell object to the Config by the given key. |
void |
Config.addDataCellArray(String key,
DataCell... values)
Adds an array of DataCell objects to this Config. |
void |
ConfigWO.addDataCellArray(String key,
DataCell... values)
Adds an array of DataCell objects to this Config. |
DataCell |
Config.getDataCell(String key,
DataCell def)
Return a DataCell which can be null, or the default value if the key is not available. |
DataCell |
ConfigRO.getDataCell(String key,
DataCell def)
Return a DataCell which can be null, or the default value if the key is not available. |
DataCell[] |
Config.getDataCellArray(String key,
DataCell... def)
Return DataCell array which can be null for key, or the default array if the key is not available. |
DataCell[] |
ConfigRO.getDataCellArray(String key,
DataCell... def)
Return DataCell array which can be null for key, or the default array if the key is not available. |
void |
Config.DataCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.StringCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.DoubleCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.IntCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.DateAndTimeCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.MissingCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.ComplexNumberCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.FuzzyIntervalCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
void |
Config.DataCellEntry.FuzzyNumberCellEntry.saveToConfig(DataCell cell,
Config config)
Save this DataCell to the given Config . |
Uses of DataCell in org.knime.core.node.tableview |
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Methods in org.knime.core.node.tableview that return DataCell | |
---|---|
DataCell |
TableContentModel.getValueAt(int row,
int column)
Get the DataCell at a specific location. |
Methods in org.knime.core.node.tableview that return types with arguments of type DataCell | |
---|---|
Class<DataCell> |
TableContentModel.getColumnClass(int column)
Returns DataCell.class. |
Class<DataCell> |
TableRowHeaderModel.getColumnClass(int columnIndex)
Return DataCell.class since the key of a
DataRow is a DataCell . |
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