Uses of Class
moa.classifiers.trees.ARFFIMTDD
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Packages that use ARFFIMTDD Package Description moa.classifiers.meta moa.classifiers.trees -
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Uses of ARFFIMTDD in moa.classifiers.meta
Fields in moa.classifiers.meta declared as ARFFIMTDD Modifier and Type Field Description ARFFIMTDD
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner. classifier
Constructors in moa.classifiers.meta with parameters of type ARFFIMTDD Constructor Description ARFFIMTDDBaseLearner(int indexOriginal, ARFFIMTDD instantiatedClassifier, BasicRegressionPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean useBkgLearner, boolean useDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner)
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Uses of ARFFIMTDD in moa.classifiers.trees
Fields in moa.classifiers.trees declared as ARFFIMTDD Modifier and Type Field Description protected ARFFIMTDD
ARFFIMTDD.FIMTDDPerceptron. tree
protected ARFFIMTDD
ARFFIMTDD.Node. tree
Methods in moa.classifiers.trees with parameters of type ARFFIMTDD Modifier and Type Method Description void
ARFFIMTDD.LeafNode. checkForSplit(ARFFIMTDD tree)
void
ARFFIMTDD.LeafNode. learnFromInstance(Instance inst, boolean growthAllowed, ARFFIMTDD arffimtdd)
Method to learn from an instance that passes the new instance to the perceptron learner, and also prevents the class value from being truncated to an int when it is passed to the attribute observerConstructors in moa.classifiers.trees with parameters of type ARFFIMTDD Constructor Description FIMTDDPerceptron(ARFFIMTDD tree)
InnerNode(ARFFIMTDD tree)
LeafNode(ARFFIMTDD tree, int subspaceSize)
Create a new LeafNodeNode(ARFFIMTDD tree)
SplitNode(InstanceConditionalTest splitTest, ARFFIMTDD tree)
Create a new SplitNode
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