def __init__(self, mln, db):
self.mln = mln.materialize(db)
self._evidence = []
# self.evidenceBackup = {}
self._variables = {}
self._variables_by_idx = {} # gnd atom idx -> variable
self._variables_by_gndatomidx = {} # gnd atom idx
self._gndatoms = {}
self._gndatoms_by_idx = {}
# get combined domain
self.domains = mergedom(self.mln.domains, db.domains)
# self.softEvidence = list(mln.posteriorProbReqs) # constraints on posterior
# probabilities are nothing but
# soft evidence and can be handled in exactly the same way
# ground members
self.formulas = list(self.mln.formulas)
# self.gndAtoms = {}
# self.gndBlockLookup = {}
# self.gndBlocks = {}
# self.gndAtomsByIdx = {}
# self.gndFormulas = []
# self.gndAtomOccurrencesInGFs = []
if isinstance(db, basestring):
db = Database.load(self.mln, dbfile=db)
elif isinstance(db, Database):
pass
elif db is None:
db = Database(self.mln)
else:
raise Exception("Not a valid database argument (type %s)" % (str(type(db))))
self.db = db
# materialize formula weights
self._materialize_weights()
return
def __init__(self, db):
self.mln = db.mln
self.domains = mergedom(self.mln.domains, db.domains)
self.gndatoms = Database.PseudoMRF.GroundAtomGen()
# duplicate the database to avoid side effects
self.evidence = Database.PseudoMRF.WorldValues(db.copy())
