def test(self, model):
self.model = model
self.beliefs = []
self.partitions = util.generatePossiblePartitions(self.word, self.pronunciation)
for p in self.partitions:
prop = 1.0
for k, f in p:
if k in model:
prop *= model[k].prob(f)
self.beliefs.append(prop)
util.normalize_vector(self.beliefs)
heuritics = util.omegaHeuristics(self.partitions)
beliefMatrix = sorted([(belief, heuritics[i], i) for i, belief in enumerate(self.beliefs)], reverse=True)
self.bestPartition = self.partitions[beliefMatrix[0][2]]
if len(beliefMatrix) == 1:
self.confidence = 10.0
else:
self.confidence = beliefMatrix[0][0] - beliefMatrix[1][0]
self.correctAnswer = True
for k, f in self.bestPartition:
if self.mapping[k] != f:
self.correctAnswer = False
break
def baseline_test(self):
self.partitions = util.generatePossiblePartitions(self.word, self.pronunciation)
self.beliefs = util.omegaHeuristics(self.partitions)
util.normalize_vector(self.beliefs)
beliefMatrix = sorted([(belief, i) for i, belief in enumerate(self.beliefs)], reverse=True)
self.bestPartition = self.partitions[beliefMatrix[0][1]]
if len(beliefMatrix) == 1:
self.confidence = 10.0
else:
self.confidence = beliefMatrix[0][0] - beliefMatrix[1][0]
self.correctAnswer = True
for k, f in self.bestPartition:
if self.mapping[k] != f:
self.correctAnswer = False
break