def label_learned_set(vectorizer, clfl, threshold, validation_table):
for row in sql_convenience.extract_classifications_and_tweets(validation_table):
cls, tweet_id, tweet_text = row
spd = vectorizer.transform([tweet_text]).todense()
predicted_cls = clfl.predict(spd)
predicted_class = predicted_cls[0] # turn 1D array of 1 item into 1 item
predicted_proba = clfl.predict_proba(spd)[0][predicted_class]
if predicted_proba < threshold and predicted_class == 1:
predicted_class = 0 # force to out-of-class if we don't trust our answer
sql_convenience.update_class(tweet_id, validation_table, predicted_class)
def label_learned_set(vectorizer, clfl, threshold, validation_table):
for row in sql_convenience.extract_classifications_and_tweets(validation_table):
cls, tweet_id, tweet_text = row
spd = vectorizer.transform([tweet_text]).todense()
predicted_cls = clfl.predict(spd)
predicted_class = predicted_cls[0] # turn 1D array of 1 item into 1 item
predicted_proba = clfl.predict_proba(spd)[0][predicted_class]
if predicted_proba < threshold and predicted_class == 1:
predicted_class = 0 # force to out-of-class if we don't trust our answer
sql_convenience.update_class(tweet_id, validation_table, predicted_class)
def annotate_all_messages(self):
while True:
msg = self.get_unannotated_message()
if msg is not None:
tweet_id = msg[b"tweet_id"]
tweet_text = msg[b"tweet_text"]
config.logging.info('Asking API for results for "%r"' % (repr(tweet_text)))
response = self.call_api(tweet_text)
self.store_raw_response(msg, response)
if self.is_brand_of(self.brand, tweet_id):
cls = sql_convenience.CLASS_IN
else:
cls = sql_convenience.CLASS_OUT
# assign class to this tweet
sql_convenience.update_class(tweet_id, self.destination_table, cls)
else:
break
def annotate_all_messages(self):
while True:
msg = self.get_unannotated_message()
if msg is not None:
tweet_id = msg[b'tweet_id']
tweet_text = msg[b'tweet_text']
config.logging.info('Asking API for results for "%r"' %
(repr(tweet_text)))
response = self.call_api(tweet_text)
self.store_raw_response(msg, response)
if self.is_brand_of(self.brand, tweet_id):
cls = sql_convenience.CLASS_IN
else:
cls = sql_convenience.CLASS_OUT
# assign class to this tweet
sql_convenience.update_class(tweet_id, self.destination_table,
cls)
else:
break