def setUp(self):
self.data = PCAlg.prepare_data('data/asia_1000.data', ' ', True)
self.pcalg = PCAlg(self.data, chi)
self.fcialg = FCIAlg(self.data, chi)
self.directed = nx.DiGraph()
self.undirected = nx.Graph()
self.directed.add_nodes_from([1, 2, 3, 4])
self.undirected.add_nodes_from(self.directed)
self.pag = PAG()
self.pag.add_nodes_from(self.undirected)
self.sepset = {(x, y): []
for x in [1, 2, 3, 4, 5] for y in [1, 2, 3, 4, 5]
if x != y}
def setUp(self):
self.data = PCAlg.prepare_data('data/asia_1000.data', ' ', True)
self.pcalg = PCAlg(self.data, chi)
self.skeleton = nx.Graph()
def test13(self):
self.data = PCAlg.prepare_data('data/insurance_1000.data', ' ', False)
p, h = chi(self.data, '0', '1', ['2', '3'])
assert (round(h, 3) == 35.531)
def test12(self):
self.data = PCAlg.prepare_data('data/alarm_1000.data', ' ', False)
p, h = chi(self.data, '1', '2', ['3', '4'])
assert (round(h, 3) == 3.115)
def test11(self):
self.data = PCAlg.prepare_data('data/asia_10000.data', ' ', True)
p, h = chi(self.data, 'either', 'tub', ['bronc', 'xray'])
assert (round(h, 3) == 9884.0)
def test9(self):
self.data = PCAlg.prepare_data('data/asia_1000.data', ' ', True)
p, h = chi(self.data, 'asia', 'tub', ['smoke', 'lung'])
assert (round(h, 3) == 36.997)
def test7(self):
self.data = PCAlg.prepare_data('data/asia_1000.data', ' ', True)
p, h = chi(self.data, 'asia', 'tub', [])
assert (round(h, 3) == 34.496)
def setUp(self):
self.data = PCAlg.prepare_data('data/alarm_10000.dat', ' ', True)