def __init__(self, mrf, queries=ALL, state=None, **params):
MCMCInference.__init__(self, mrf, queries, **params)
if state is None:
self.state = self.random_world(self.mrf.evidence)
else:
self.state = state
self.sum = 0
self.var2gf = defaultdict(set)
self.weights = list(self.mrf.mln.weights)
formulas = []
for f in self.mrf.formulas:
if f.weight < 0:
f_ = self.mrf.mln.logic.negate(f)
f_.weight = -f.weight
formulas.append(f_.nnf())
grounder = FastConjunctionGrounding(mrf,
formulas=formulas,
simplify=True,
unsatfailure=True)
for gf in grounder.itergroundings():
if isinstance(gf, Logic.TrueFalse): continue
vars_ = set(map(lambda a: self.mrf.variable(a).idx, gf.gndatoms()))
for v in vars_:
self.var2gf[v].add(gf)
self.sum += (self.hardw if gf.weight == HARD else
gf.weight) * (1 - gf(self.state))
def __init__(self, mrf, queries=ALL, **params):
MCMCInference.__init__(self, mrf, queries, **params)
self.var2gf = defaultdict(set)
grounder = FastConjunctionGrounding(mrf, simplify=True, unsatfailure=True, cache=None)
for gf in grounder.itergroundings():
if isinstance(gf, Logic.TrueFalse): continue
vars_ = set(map(lambda a: self.mrf.variable(a).idx, gf.gndatoms()))
for v in vars_: self.var2gf[v].add(gf)
def __init__(self, mrf, queries=ALL, **params):
MCMCInference.__init__(self, mrf, queries, **params)
self.var2gf = defaultdict(set)
grounder = FastConjunctionGrounding(mrf, simplify=True, unsatfailure=True, cache=None)
for gf in grounder.itergroundings():
if isinstance(gf, Logic.TrueFalse): continue
vars_ = set(map(lambda a: self.mrf.variable(a).idx, gf.gndatoms()))
for v in vars_: self.var2gf[v].add(gf)
def __init__(self, mrf, queries=ALL, state=None, **params):
MCMCInference.__init__(self, mrf, queries, **params)
if state is None:
self.state = self.random_world(self.mrf.evidence)
else:
self.state = state
self.sum = 0
self.var2gf = defaultdict(set)
self.weights = list(self.mrf.mln.weights)
formulas = []
for f in self.mrf.formulas:
if f.weight < 0:
f_ = self.mrf.mln.logic.negate(f)
f_.weight = - f.weight
formulas.append(f_.nnf())
grounder = FastConjunctionGrounding(mrf, formulas=formulas, simplify=True, unsatfailure=True)
for gf in grounder.itergroundings():
if isinstance(gf, Logic.TrueFalse): continue
vars_ = set(map(lambda a: self.mrf.variable(a).idx, gf.gndatoms()))
for v in vars_: self.var2gf[v].add(gf)
self.sum += (self.hardw if gf.weight == HARD else gf.weight) * (1 - gf(self.state))
def __init__(self, mrf, queries=ALL, **params):
MCMCInference.__init__(self, mrf, queries, **params)
self._weight_backup = list(self.mrf.mln.weights)
def __init__(self, mrf, queries=ALL, **params):
MCMCInference.__init__(self, mrf, queries, **params)
self._weight_backup = list(self.mrf.mln.weights)
