class RefinementDescriptor(object):
def __init__(self, builder):
self._builder = builder
self._refinement = Refinement()
self._builder.getSimulationLearner().setRefinement(self._refinement)
def addMostPromisingChildren(self):
admissibleSet = AdmissibleSparseGridNodeSet()
self._refinement.setAdmissibleSetCreator(admissibleSet)
return MostPromisingChildrenDescriptor(self._refinement)
def refineMostPromisingNodes(self):
admissibleSet = RefinableNodesSet()
self._refinement.setAdmissibleSetCreator(admissibleSet)
return RefineCurrentNodesDescriptor(self._refinement)
def withBalancing(self):
self._refinement.setBalancing(True)
return self
def withAverageWeightening(self):
self._refinement.setAverageWeightening(True)
return self
def withAdaptTimeWindow(self, value):
self._refinement.setAdaptTimeWindow(value)
return self
def withAdaptMaxLevel(self, level):
self._refinement.setAdaptMaxLevel(level)
return self
class RefinementDescriptor(object):
def __init__(self, builder):
self._builder = builder
self._refinement = Refinement()
self._builder.getSimulationLearner().setRefinement(self._refinement)
def addMostPromisingChildren(self):
admissibleSet = AdmissibleSparseGridNodeSet()
self._refinement.setAdmissibleSetCreator(admissibleSet)
return MostPromisingChildrenDescriptor(self._refinement)
def refineMostPromisingNodes(self):
admissibleSet = RefinableNodesSet()
self._refinement.setAdmissibleSetCreator(admissibleSet)
return RefineCurrentNodesDescriptor(self._refinement)
def withBalancing(self):
self._refinement.setBalancing(True)
return self
def withAverageWeightening(self):
self._refinement.setAverageWeightening(True)
return self
def withAdaptTimeWindow(self, value):
self._refinement.setAdaptTimeWindow(value)
return self
def withAdaptMaxLevel(self, level):
self._refinement.setAdaptMaxLevel(level)
return self
