Example
# imports
import weka.classifiers.bayes.BayesNet as BayesNet
import weka.core.converters.ConverterUtils.DataSource as DS
import weka.gui.graphvisualizer.GraphVisualizer as GraphVisualizer
import javax.swing.JFrame as JFrame
import os
# load data
data = DS.read(os.environ.get("MOOC_DATA") + os.sep + "iris.arff")
data.setClassIndex(data.numAttributes() - 1)
# configure classifier
cls = BayesNet()
cls.setOptions(["-Q", "weka.classifiers.bayes.net.search.local.K2", "--", "-P", "2"])
# build classifier
cls.buildClassifier(data)
# display tree
gv = GraphVisualizer()
gv.readBIF(cls.graph())
frame = JFrame("BayesNet - " + data.relationName())
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE)
frame.setSize(800, 600)
frame.getContentPane().add(gv)
frame.setVisible(True)
# adjust tree layout
gv.layoutGraph()
