Uses of Class
org.knime.base.node.mine.decisiontree2.learner.InMemoryTable

Packages that use InMemoryTable
org.knime.base.node.mine.decisiontree2.learner   
 

Uses of InMemoryTable in org.knime.base.node.mine.decisiontree2.learner
 

Methods in org.knime.base.node.mine.decisiontree2.learner that return InMemoryTable
 InMemoryTable InMemoryTableCreator.createInMemoryTable(ExecutionContext exec)
          Creates the InMemoryTable.
 InMemoryTable[] Partitioner.getPartitionTables()
          Return the partition tables.
 InMemoryTable Split.getTable()
          Returns the InMemoryTable.
 

Constructors in org.knime.base.node.mine.decisiontree2.learner with parameters of type InMemoryTable
InMemoryTable(InMemoryTable tableTemplate)
          Creates an empty table from a given template table.
Partitioner(InMemoryTable table, Split split, double minNumExamples)
          Partitions the data table according to the given split.
Split(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure)
          Constructs the best split for the given attribute list and the class distribution.
SplitContinuous(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure, boolean averageSplitpoint, double minObjectsCount)
          Constructs the best split for the given numeric attribute list and the class distribution.
SplitFinder(InMemoryTable table, SplitQualityMeasure splitQualityMeasure, boolean averageSplitpoint, double minObjectsCount, boolean binaryNominalSplits, int maxNumNominalsForCompleteComputation)
          Finds the best split for the given data.
SplitNominal(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure)
          Constructs the best split for the given attribute list and the class distribution.
SplitNominalBinary(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure, double minObjectsCount, int maxNumDifferentValues)
          Constructs the best split for the given nominal attribute.
SplitNominalNormal(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure, double minObjectsCount)
          Constructs the best split for the given nominal attribute.
 



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