def tryModel(self, model):
model_do = CBN.from_bn(model.copy(copy_domain=True))
# perform every interventional query
ci = {}
for q in model_do.good_interventions():
# generate the model
model_do = CBN.from_bn(model.copy(copy_domain=True))
model_do.intervene(q)
ci[frozenset(q.keys())] = GraphCI(model_do.adg())
iic = InterventionalICPattern(ci)
self.assertEquals(iic.lines(), [])
self.assertEquals(iic.orient(), model.adg())
def tryModel(self, model):
model_do = CBN.from_bn(model.copy(copy_domain=True))
# perform every interventional query
ci = {}
for q in model_do.good_interventions():
# generate the model
model_do = CBN.from_bn(model.copy(copy_domain=True))
model_do.intervene(q)
ci[frozenset(q.keys())] = GraphCI(model_do.adg())
iic = InterventionalICPattern(ci)
self.assertEquals(iic.lines(), [])
self.assertEquals(iic.orient(), model.adg())
def tryModel(self, model):
# perform every interventional query
ci = {}
for xs in powerset(model.variables()):
# build the intervention q
q = {}
for x in xs:
q[x] = frozenset([set(model.values(x)).pop()])
# generate the model
model_do = CBN.from_bn(model.copy(copy_domain=True))
model_do.intervene(q)
ci[frozenset(q.keys())] = GraphCI(model_do.adg())
iic = InterventionalICPattern(ci)
self.assertEquals(iic.lines(), [])
self.assertEquals(iic.orient(), model.adg())
def tryModel(self, model):
# perform every interventional query
ci = {}
for xs in powerset(model.variables()):
# build the intervention q
q = {}
for x in xs:
q[x] = frozenset([set(model.values(x)).pop()])
# generate the model
model_do = CBN.from_bn(model.copy(copy_domain=True))
model_do.intervene(q)
ci[frozenset(q.keys())] = GraphCI(model_do.adg())
iic = InterventionalICPattern(ci)
self.assertEquals(iic.lines(), [])
self.assertEquals(iic.orient(), model.adg())
