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