def overlappingOccurenceCounts(self, model):
counts = sequitur_.EvidenceStore()
counts.setSequenceModel(model)
accumulator = sequitur_.OneForAllAccumulator()
accumulator.setTarget(counts)
for eg in self.graphs(model):
accumulator.accumulate(eg, 1.0)
return counts
def evidence(self, model, useMaximumApproximation):
evidences = sequitur_.EvidenceStore()
evidences.setSequenceModel(model)
if useMaximumApproximation:
accumulator = sequitur_.ViterbiAccumulator()
else:
accumulator = sequitur_.Accumulator()
accumulator.setTarget(evidences)
logLik = 0.0
for eg in self.graphs(model):
logLik += accumulator.accumulate(eg, 1.0)
misc.reportMemoryUsage()
return evidences, logLik