Package | Description |
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jsat.classifiers.trees |
Modifier and Type | Class and Description |
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class |
RandomDecisionTree
An extension of Decision Trees, it ignores the given set of features to use-
and selects a new random subset of features at each node for use.
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Modifier and Type | Method and Description |
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DecisionTree |
DecisionTree.clone() |
static DecisionTree |
DecisionTree.getC45Tree()
Returns a Decision Tree with settings initialized so that its behavior is
approximately that of the C4.5 decision tree algorithm when used on
classification data.
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Constructor and Description |
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DecisionTree(DecisionTree toCopy)
Copy constructor
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