Package <Unnamed>

Class Summary
Attribute A class describing an attribute in a machine learning problem: in particular, the name of the attribute and the values it can take
AttributeSet An AttributeSet object encapsulates the set of attributes for a given machine learning problem.
DecisionTree A DecisionTree object represents a decision tree, as described in, for example, the book "Artificial Intelligence" by Russell and Norvig (3rd edition).
DecisionTreeInternal Represents an internal node in a decision tree.
DecisionTreeLeaf Represents a leaf in a decision tree.
Distribution 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.
Instance An Instance object represents a single instance in a training or test set
InstanceSet An InstanceSet is a set of instances to be used in a machine learning problem, generally as either a training set or a test set.
 

Exception Summary
DecisionTreeException