moa.WEKAClassifier_SMO_PolyKernel

Visibility: public Uploaded 23-04-2014 by Jan van Rijn Moa_2014.03 197 runs
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Moa implementation of WEKAClassifier

Components

baseLearner: Classifier to train.

f	sampleFrequency: How many instances between samples of the learning performance.	default: 0
i	widthInit: Size of first Window for training learner.	default: 1000
l	baseLearner: Classifier to train.	default: weka.classifiers.bayes.NaiveBayesUpdateable
w	width: Size of Window for training learner.	default: 0

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Parameter:

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