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weka.BayesNet_HillClimber

weka.BayesNet_HillClimber

Visibility: public Uploaded 07-12-2014 by Roy van den Hurk Weka_3.7.12-SNAPSHOT 0 runs
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Weka implementation of BayesNet

Components

Qweka.HillClimber(3)Search algorithm

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AInitial count (alpha)
BBIF file to compare with
DDo not use ADTree data structuredefault: true
EEstimator algorithm
NInitial structure is empty (instead of Naive Bayes)
PMaximum number of parents
QSearch algorithmdefault: weka.classifiers.bayes.net.search.global.HillClimber
RRandom order. (default false)
SScore type (BAYES, BDeu, MDL, ENTROPY and AIC)
mbcApplies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node.
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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