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moa.DynamicWeightedMajority_HoeffdingTree

moa.DynamicWeightedMajority_HoeffdingTree

Visibility: public Uploaded 17-10-2016 by Jan van Rijn Moa__16.04_April_2016 64 runs
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Moa implementation of DynamicWeightedMajority

Components

lmoa.HoeffdingTree(7)baseLearner: Classifier to train.

Parameters

bbeta: Factor to punish mistakes by.default: 0.5
emaxExperts: Maximum number of allowed experts.default: 2147483647
lbaseLearner: Classifier to train.default: bayes.NaiveBayes
pperiod: Period between expert removal, creation, and weight update.default: 50
ttheta: Minimum fraction of weight per model.default: 0.01

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