def computeWordKLDivergenceWithByEddie(self, event):
# this method calls the kl divergence computation by eddie's methods
text1 = ""
text2 = ""
for element in self._event[self._element_type]:
p = createElement(self._element_type, element)
text1 += " "
text1 += p.getText()
if type(event) is not types.DictType:
event = event.toDict()
for element in event[self._element_type]:
p = createElement(self._element_type, element)
text2 += " "
text2 += p.getText()
return kldiv(tokenize(text1), tokenize(text2))
def computeWordKLDivergenceWithByEddie(self, event):
# this method calls the kl divergence computation by eddie's methods
text1 = ''
text2 = ''
for photo in self._event['photos']:
p = Photo(photo)
text1 += ' '
text1 += p.getCaption()
if type(event) is types.DictType:
pass
else:
event = event.toDict()
for photo in event['photos']:
p = Photo(photo)
text2 += ' '
text2 += p.getCaption()
return kldiv(tokenize(text1), tokenize(text2))
def computeWordKLDivergenceWithByEddie(self, event): # this method calls the kl divergence computation by eddie's methods text1 = '' text2 = '' for photo in self._event['photos']: p = Photo(photo) text1 += ' ' text1 += p.getCaption() if type(event) is types.DictType: pass else: event = event.toJSON() for photo in event['photos']: p = Photo(photo) text2 += ' ' text2 += p.getCaption() return kldiv(tokenize(text1), tokenize(text2))
