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D

decide(AttributeSet, Instance) - Method in class DecisionTree
Return the decision tree's decision for the given instance: that is, the classification that should be assigned to the instance.
decide(AttributeSet, Instance) - Method in class DecisionTreeInternal
 
decide(AttributeSet, Instance) - Method in class DecisionTreeLeaf
 
DecisionTree - Class in <Unnamed>
A DecisionTree object represents a decision tree, as described in, for example, the book "Artificial Intelligence" by Russell and Norvig (3rd edition).
DecisionTreeException - Exception in <Unnamed>
 
DecisionTreeException(String) - Constructor for exception DecisionTreeException
Create a new ClassifierException, and associate the given message with it.
DecisionTreeInternal - Class in <Unnamed>
Represents an internal node in a decision tree.
DecisionTreeLeaf - Class in <Unnamed>
Represents a leaf in a decision tree.
Distribution - Class in <Unnamed>
For a given attribute, a Distribution object stores information about a probability distribution over the possible attribute values in two different ways: (i) frequencies -- how many times each attribute value was observed, and (ii) probabilities -- the probability that this attribute has each of the possible attribute values.
Distribution(Attribute) - Constructor for class Distribution
Create a distribution on the values of a particular attribute

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