def retrieve_target(self, entity):
combinedField = ' . '.join([
utils.translate(entity._getattr(field, ""), ' . ')
for field in self.fields
])
logger.debug('combinedField {0}'.format(combinedField))
result = [t for r, t in self.p.iteritems() if r.search(combinedField)]
return result
def predict(self, entity, fields):
total = 0
for field in fields:
value = translate(getattr(entity, field, ''))
if not value:
continue
allTokens = self._process(value)
entity._raws.update(allTokens)
entity._features.update([self._get_or_new_panda(t) for t in allTokens])
total += len(allTokens)
return total
def predict(self, entity, fields):
total = 0
for field in fields:
value = translate(getattr(entity, field, ''))
if not value:
continue
allTokens = self._process(value)
entity._raws.update(allTokens)
entity._features.update(
[self._get_or_new_panda(t) for t in allTokens])
total += len(allTokens)
return total
def retrieve_target(self, entity):
combinedField = ' . '.join([utils.translate(entity._getattr(field, ""), ' . ') for field in self.fields])
logger.debug('combinedField {0}'.format(combinedField))
result = [t for r, t in self.p.iteritems() if r.search(combinedField)]
return result
