def runTest(self):
data = CompactFactor(read_csv(open('tetrad_asia.csv')),domain=Domain())
ci = PCCI(G2Separator(data))
g = ICPattern(ci)
self.assertEquals(g.shd(self._asia_pdag),5)
self.assertEquals(self._tetrad_pdag.shd(self._asia_pdag),4)
# I think tetrad is wrong (in terms of implementation)
self.assertEquals(g.shd(self._tetrad_pdag),1)
def tryModel(self, model):
ci = GraphCI(model.adg())
g = ICPattern(ci)
self.same_graph(g, model.adg().essential_graph())
def tryModel(self, model):
order = model.adg().topological_order()
ci = PCCI(GraphSeparator(model.adg()), order)
g = ICPattern(ci, order)
self.same_graph(g, model.adg())
def tryModel(self, model):
ci = PCCI(GraphSeparator(model.adg()))
g = ICPattern(ci)
self.same_graph(g, model.adg().essential_graph())
def tryModel(self, model):
ci = GraphCI(model.adg())
g = ICPattern(ci, model.adg().topological_order())
self.same_graph(g, model.adg())
def tryModel(self, model):
ci = GraphCI(model.adg(), undirected=True, moralise=True)
g = ICPattern(ci)
self.same_graph(g.moralise(), model.adg().essential_graph().moralise())
def tryModel(self, model):
ci = GraphCI(model.adg(), undirected=True, moralise=True)
g = ICPattern(ci)
self.same_graph(g.moralise(),model.adg().essential_graph().moralise())
