def __init__(self, gm, accumulator=None, parameter=InfParam()):
if accumulator is None:
self.accumulator = defaultAccumulator(gm=gm)
else:
self.accumulator = accumulator
kwargs = parameter.kwargs
self.gm_ = gm
self.arg_ = None
self.value_ = None
self.initType = kwargs.get('initType', 'localOpt')
def __init__(self, gm, accumulator=None, parameter=InfParam()):
if accumulator is None:
self.accumulator = defaultAccumulator(gm=gm)
else:
self.accumulator = accumulator
kwargs = parameter.kwargs
self.gm_ = gm
self.steps = kwargs.get('steps', 100)
self.fusionSolver = kwargs.get('fuisionSolver', 'lf2')
self.arg_ = None
self.value_ = None
self.fusionMover = inference.adder.minimizer.FusionMover(self.gm_)
self.nLabels = self.gm_.numberOfLabels(0)
self.nVar = self.gm_.numberOfVariables