Interface for Rule's LearningNode that updates both statistics for expanding rule and computing predictions.
Interface for Rule's LearningNode that does not update statistics for expanding rule.
ActiveRule is a LearningRule that actively update its LearningNode with incoming instances.
Rule with LearningNode (statistical data).
The most basic rule: inherit from Rule the ID and list of features.
PassiveRule is a LearningRule that update its LearningNode with the received new LearningNode.
Prediction scheme using Perceptron: Predictions are computed according to a linear function of the attributes.
The base class for "rule".
LearningNode for regression rule that updates both statistics for expanding rule and computing predictions.
LearningNode for regression rule that does not update statistics for expanding rule.
The base class for LearningNode for regression rule.
Represent a feature of rules (an element of ruleś nodeList).
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