from NLP_Bluemix_Interface import NLPWatsonInterface
from tutorial import username, password
nlp_classifier = NLPWatsonInterface(username, password)
classifier_id = ''
test_cases = [
('Is it cold?', 'temperature'),
# ...
]
tot = 0
if __name__ == '__main__':
for case in test_cases:
result = nlp_classifier.classify(classifier_id, case[0])
print(str(result), case[1])
if result['top_class'] == case[1]:
tot += 1
print('Done with a score of : ' + str(tot/len(test_cases)))
import time
from NLP_Bluemix_Interface import NLPWatsonInterface
username = ""
password = ""
training_data = open('weather_data_train.csv', 'rb')
metadata = "{\"language\":\"en\",\"name\":\"TutorialClassifier\"}"
nlp_classifier = NLPWatsonInterface(username, password)
if __name__ == '__main__':
# First train your classifier
response = nlp_classifier.train(training_data, metadata)
print(response)
# Check status till its done training
training_status = response['status']
# Quit if request didn't go through
if training_status != 'Training':
exit()
# poll for status update
while training_status == 'Training':
time.sleep(15)
training_status = nlp_classifier.status(response['classifier_id'])['status']
