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. |