def test():
"""Standalone test"""
import sys
from AnyQt.QtWidgets import QApplication
from Orange.classification.tree import TreeLearner, SklTreeLearner
from Orange.regression.tree import TreeLearner, SklTreeRegressionLearner
a = QApplication(sys.argv)
ow = OWTreeGraph()
data = Table("titanic")
# data = Table("housing")[:30]
clf = SklTreeLearner()(data)
# clf = TreeLearner()(data)
clf.instances = data
ow.ctree(clf)
ow.show()
ow.raise_()
a.exec_()
ow.saveSettings()
def main():
from AnyQt.QtWidgets import QApplication
import sys
app = QApplication(sys.argv)
ow = OWPythagorasTree()
data = Table(sys.argv[1] if len(sys.argv) > 1 else 'iris')
if data.domain.has_discrete_class:
from Orange.classification.tree import SklTreeLearner as TreeLearner
else:
from Orange.regression.tree import SklTreeRegressionLearner as TreeLearner
model = TreeLearner(max_depth=1000)(data)
model.instances = data
ow.set_tree(model)
ow.show()
ow.raise_()
ow.handleNewSignals()
app.exec_()
