def logLik(self, model, useMaximumApproximation):
if useMaximumApproximation:
accumulator = sequitur_.ViterbiAccumulator()
else:
accumulator = sequitur_.Accumulator()
logLik = 0.0
for eg in self.graphs(model):
logLik += accumulator.logLik(eg)
return logLik
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
