def global_probability_confidence(self):
global_pmi_getter = GlobalPMI.get(config.get_current_db_name())
local_probability = self._confidences['nrelative_frequency']
global_probability = global_pmi_getter.global_probability(self)
if not global_probability:
# KeyEntity was not in corpus
return local_probability
return local_probability / global_probability
def global_probability_confidence(self):
global_pmi_getter = GlobalPMI.get(config.get_current_db_name())
local_probability = self._confidences['nrelative_frequency']
global_probability = global_pmi_getter.global_probability(self)
if not global_probability:
# KeyEntity was not in corpus
return local_probability
return local_probability / global_probability
def global_mutual_information_confidence(self):
global_pmi_getter = GlobalPMI.get(config.get_current_db_name())
local_pmi = self._confidences['statistical_mutual_information']
global_pmi = global_pmi_getter.global_pmi(self)
if not global_pmi:
# KeyEntity was not in corpus
return local_pmi
return local_pmi / global_pmi
def global_mutual_information_confidence(self):
global_pmi_getter = GlobalPMI.get(config.get_current_db_name())
local_pmi = self._confidences['statistical_mutual_information']
global_pmi = global_pmi_getter.global_pmi(self)
if not global_pmi:
# KeyEntity was not in corpus
return local_pmi
return local_pmi / global_pmi
def __init__(self, db_name):
self.default_db_name = config.get_current_db_name()
self.db_name = db_name
def connection(self):
db_name = config.get_current_db_name()
if not db_name in self._connections:
self._connections[db_name] = redis_connect(config.DATABASES[db_name])
return self._connections[db_name]
def __init__(self, db_name):
self.default_db_name = config.get_current_db_name()
self.db_name = db_name
def connection(self):
db_name = config.get_current_db_name()
if not db_name in self._connections:
self._connections[db_name] = redis_connect(
config.DATABASES[db_name])
return self._connections[db_name]
