NominalRulePredicate |
Class that contains the literal information for a nominal variable
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NumericRulePredicate |
Class that contains the literal information for a numerical variable
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Rule |
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Rule.Builder |
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RuleActiveLearningNode |
A modified ActiveLearningNode that uses a Perceptron as the leaf node model,
and ensures that the class values sent to the attribute observers are not
truncated to ints if regression is being performed
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RuleActiveRegressionNode |
A modified ActiveLearningNode that uses a Perceptron as the leaf node model,
and ensures that the class values sent to the attribute observers are not
truncated to ints if regression is being performed
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RuleSet |
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RuleSplitNode |
A modified SplitNode method implementing the extra information
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Utils |
Class that contains several utilities
Variance
Standard deviation
Vector operations(copy, etc)
Entropy
Complementary set
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