Uses of Class
moa.classifiers.rules.core.RuleActiveLearningNode
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Packages that use RuleActiveLearningNode Package Description moa.classifiers.rules moa.classifiers.rules.core -
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Uses of RuleActiveLearningNode in moa.classifiers.rules
Methods in moa.classifiers.rules that return RuleActiveLearningNode Modifier and Type Method Description abstract RuleActiveLearningNode
AbstractAMRules. newRuleActiveLearningNode(double[] initialClassObservations)
abstract RuleActiveLearningNode
AbstractAMRules. newRuleActiveLearningNode(Rule.Builder builder)
RuleActiveLearningNode
AMRulesRegressorOld. newRuleActiveLearningNode(double[] initialClassObservations)
RuleActiveLearningNode
AMRulesRegressorOld. newRuleActiveLearningNode(Rule.Builder builder)
Methods in moa.classifiers.rules with parameters of type RuleActiveLearningNode Modifier and Type Method Description protected abstract Rule
AbstractAMRules. newRule(int ID, RuleActiveLearningNode learningNode, double[] statistics)
Rule.Builder() to build an object with the parameters.protected Rule
AMRulesRegressorOld. newRule(int ID, RuleActiveLearningNode node, double[] statistics)
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Uses of RuleActiveLearningNode in moa.classifiers.rules.core
Subclasses of RuleActiveLearningNode in moa.classifiers.rules.core Modifier and Type Class Description class
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 performedFields in moa.classifiers.rules.core declared as RuleActiveLearningNode Modifier and Type Field Description protected RuleActiveLearningNode
Rule. learningNode
Methods in moa.classifiers.rules.core that return RuleActiveLearningNode Modifier and Type Method Description RuleActiveLearningNode
Rule. getLearningNode()
getLearningNode Method This is the way to pass info for other classes.Methods in moa.classifiers.rules.core with parameters of type RuleActiveLearningNode Modifier and Type Method Description abstract void
RuleActiveLearningNode. initialize(RuleActiveLearningNode oldLearningNode)
void
RuleActiveRegressionNode. initialize(RuleActiveLearningNode oldLearningNode)
void
Rule. setLearningNode(RuleActiveLearningNode learningNode)
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