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Uses of Package
org.knime.base.node.mine.decisiontree2.learner

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

Classes in org.knime.base.node.mine.decisiontree2.learner used by org.knime.base.node.mine.decisiontree2.learner
ClassValueDataRow
          A data row represented as a double array.
DataRowWeighted
          A data row represented as a double array.
DecisionTreeLearnerNodeModel
          Implements a decision tree induction algorithm based on C4.5 and SPRINT.
InMemoryTable
          Implements a table that holds DataRowWeighteds in memory.
NominalValueHistogram
          Represents a count histogram for nominal values.
Split
          Calculates the best split for a given attribute list and the original class distribution.
SplitNominal
          Super class for all nominal split variants.
SplitQualityMeasure
          The abstract class for split quality measures like gini or gain ratio.
ValueMapper
          A mapper mapping the objects of the defined class S to integer indices and vice versa.
 

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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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