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ExampleSet into two disjunct parts
and applies the first child operator on the first part and applies the second
child on the second part and the result of the first child.ExampleSource operators.AbstractExampleSetProcessing hierarchy
in the preprocessing package.DataTable.DataTable.UnsupportedOperationException.ExampleSet as input and delivering an ExampleSet as output.ExampleSet.ExampleSet.GeneticAlgorithm, the
GeneratingGeneticAlgorithm generates new attributes and thus can
change the length of an individual.GraphCreator.Model.ExampleSet into two disjunct parts
and applies the first child operator on the first part and applies the second
child on the second part and the result of the first child.TableModel.Condition serves to accept all examples.DataTableRow to the table.
ExampleSet, interprets attributes as variables, evaluates
the function and creates a new attribute with the given name that takes the expression's value.
Attributes in newAttributes to the end
of the list of attributes, creating new data columns if necessary.
Attributes in newAttributes to the end
of the list of attributes, creating new data columns if necessary.
Attributes in newAttributes to the end
of the list of attributes, creating new data columns if necessary.
Averagable to the list of criteria.
SwingTools.TOOL_TIP_LINE_LENGTH letters.
Attributes to which this
AttributeRole is added.
GeneratingGeneticAlgorithm operator.ANOVAMatrixViewerTable.Model repeatedly running a weak learner,
reweighting the training example set accordingly, and combining the
hypothesis using the available weighted performance values.
ExampleSet.
ExampleSet.
switchOffFeature().
ValueReplenishment.getReplenishmentValue(int, ExampleSet, Attribute, double, String) if
ValueReplenishment.replenishValue(double) returns true.
AssociationRules which can be constructed from frequent item sets.ExampleSet.AttributeDataSources.
ExampleSet from a
parameter string
ExampleSet from a
parameter string
ExampleSet as input and maps the
values of certain attributes to other values.AttributeWeights IOObject.AttributeWeightsDialog.Parameters object.GraphViewer.BatchSlidingWindowValidation is similar to the usual
SlidingWindowValidation.BatchXValidation encapsulates a cross-validation process.NominalMapping
which can be used for binominal attributes, i.e. for attributes
with only two different values.Item based on boolean attributes.BreakpointListener.breakpointReached(Process, Operator, IOContainer, int) is invoked
every time a breakpoint is reached during a process run.ExampleSet from an SQL
database.DecisionTreeLearner
with one exception: it used a chi squared based criterion
instead of the information gain or gain ratio criteria.Operator.getDeprecationInfo() method does not return null.
Operator.getDeprecationInfo() method does not return null.
Process.checkProcess(IOContainer) instead
RapidMiner.cleanUp() instead
ProcessLogOperator.ColorQuartilePlotter for each of the plots.PCA, GHA
and FastICA you can create the AttributeWeights
from a component.ConditionedExampleSets, a special sub class of
ExampleSet that skips all examples that do not fulfill this
condition.Examples that do not fulfill a given Condition.ConfigurationListener.ConfusionMatrixViewerTable.Condition serves to accept all examples which are
correctly predicted.CorrelationMatrixRow2DataTableRowWrapper objects.NumericalMatrix
as basis for DataTableRow.countExample(double, double) and counts the
deviation.
AttributeDataSources read from the file.
DataTable from this example set.
AbstractReader.apply().
Operator.createProcessTree(int) instead
Operator.createProcessTree(int,String,String,Operator,String) instead
OperatorChain.createProcessTree(int,String,String,Operator,String) instead
Operator.createMarkedProcessTree(int,String,Operator) instead
ProcessLogOperator.FileDataRowReader that reads examples from a file, objects
of this class read examples from a ResultSet, a data structure that
is returned from a database query.ExampleSet into an SQL
database.ExampleSet from an SQL
database.DataRowFactory.DataRowFactory(int, char) instead.
DataRows, e.g. from memory, a file or a
database.Component.repaint().
DataTableViewerTable.MetaDataViewerTable.DatabaseExampleSetWriter operators.DatabaseExampleSource operator.DatabaseExampleSource operators.DatabaseExampleSource operator.PropertyTable either bold or plain depending on
whether or not the parameter is optional.XMLSerialization for all IOObject pairs.
AbstractAttributes instead since using this
class might lead to stack overflow errors in cases where a large amount of iterations
is performedExampleSet as input and maps all
nominal values to randomly created strings.lineInfo array can contain the specified index.
get(i) nor put(i,v)
throw a runtime exception for all 0 <= i <= numberOfColumns.
EstimatedPerformance.AbstractPerformanceEvaluator.evaluate(ExampleSet,PerformanceVector).
Example2DataTableRowWrapper objects.Examples as basis for
DataTableRow.ExampleSet as input and returns a new
ExampleSet including only the Examples that fulfill a
condition.ExampleTable with simple method calls.ExampleSet to a file.ExampleSource operators.ExampleSource
operator.Process insteadProcess now
Process now
Process now
Process now
Process now
ExtendedListModel.ExtendedJList.GraphViewer.FastICA.skip_features_of_type.skip_features_with_name.skip_features_of_type.AttributeRole belonging to the attribute with the given name (both regular and special).
AttributeRole with the given special name (both regular and special).
time, and creates a
new String containing a description of the time by means of days, hours, minutes and
seconds.
Averagable.toString() method.
Averagable.toString() method.
Averagable.toString() method.
Averagable.toString() method.
FPGrowth.Items.FrequentItemSets.GeneticAlgorithm, the
GeneratingGeneticAlgorithm generates new attributes and thus can
change the length of an individual.GenericOperatorFactory.registerOperators(ClassLoader).Attribute's index.
maxPeaks highest peaks.
Attributes.
Attributes.
ClassWeightedPerformance interface.
CovarianceMatrix.getCovarianceMatrix(double[][]).
UnbalancedCrossover.
DataRow
objects.
DataTable from this example set.
DataTable from this example set.
IOObject in this container.
MainFrame.getProcess() instead
Operator.getProcess() instead
Process.getProcessFile() instead
Process.getProcessState() instead
getAllRefinedRules.
Ontology.NOMINAL or one of its subtypes.
AttributeGenerator.
AttributeGenerator
BinominalMapping.mapIndex(int).
PolynominalMapping.mapIndex(int).