def runPart(train_file, test_file, best_answer, language):
train_set = parse_data(train_file)
test_set = parse_data(test_file)
# for k in range(len(EXPERIMENTS)):
# print "Experiment {0}".format(k)
# ops = {"STOPWORDS": EXPERIMENTS[k][0], \
# "PUNCTUATION": EXPERIMENTS[k][1], \
# "BAGOFWORDS": EXPERIMENTS[k][2], \
# "COLLOCATION": EXPERIMENTS[k][3], \
# "PARTOFSPEECH": EXPERIMENTS[k][4]}
#
# B.run(train_set, test_set, language, best_answer, ops)
# evaluate_part(2)
B.run(train_set, test_set, language, best_answer)
evaluate_part(2)
def import_data(data_file):
counter = 0
with open(data_file) as f:
for row in parse_data(f):
question = QuestionModel(**json2db(row))
db.session.add(question)
db.session.commit()
counter += 1
print('{} committed'.format(counter))
def test_parse_marker(self):
marker = parse_data(Marker, self.marker_dummy)
for key in self.marker_dummy:
self.assertEqual(marker.__dict__[key], self.marker_dummy[key])
def test_bad_data(self):
self.assertIsNone(parse_data(Marker, self.bad_marker_dummy))
def test_bad_data_format_marker_class(self):
self.assertEqual(parse_data(Marker, self.bad_marker_dummy), None)
def test_class_without_parse_method(self):
self.assertEqual(parse_data(self.NoParsedObject, self.marker_dummy),
None)
def test_gp_mut(generations=20):
data_path = Path('./containerfs/tmp/cetdl1772small.dat')
training_data = parse_data(data_path)
gpobj = GP(POP_SIZE, training_data, mutation_method='branch_replacement')
gpobj.run(generations)
def runPart(train_file, test_file, knn_answer, svm_answer, language):
train_set = parse_data(train_file)
test_set = parse_data(test_file)
A.run(train_set, test_set, language, knn_answer, svm_answer)
def test_parse_marker(self):
marker = parse_data(Marker, self.marker_dummy)
for key, value in self.marker_dummy.iteritems():
self.assertEqual(getattr(marker, key), value)
import A, B
from main import parse_data
eng_train = parse_data('data/English-train.xml')
eng_test = parse_data('data/English-dev.xml')
cata_train = parse_data('data/Catalan-train.xml')
cata_test = parse_data('data/Catalan-dev.xml')
span_train = parse_data('data/Spanish-train.xml')
span_test = parse_data('data/Spanish-dev.xml')
# A.run(train, test, language, knn_file, svm_file):
A.run(eng_train, eng_test, 'English', 'KNN-English.answer',
'SVM-English.answer')
A.run(cata_train, cata_test, 'Catalan', 'KNN-Catalan.answer',
'SVM-Catalan.answer')
A.run(span_train, span_test, 'Spanish', 'KNN-Spanish.answer',
'SVM-Spanish.answer')
# B.run(train, test, language, answer)
B.run(eng_train, eng_test, 'English', 'Best-English.answer')
B.run(cata_train, cata_test, 'Catalan', 'Best-Catalan.answer')
B.run(span_train, span_test, 'Spanish', 'Best-Spanish.answer')
def test_data_null(self):
self.assertIsNone(parse_data(Marker, None))
def test_data_null(self):
self.assertIsNone(parse_data(Marker, None))
def test_parse_marker(self):
marker = parse_data(Marker, self.marker_dummy)
for key in self.marker_dummy:
self.assertEqual(marker.__dict__[key], self.marker_dummy[key])
def test_class_without_parse_method(self):
self.assertEqual(parse_data(self.NoParsedObject, self.marker_dummy), None)
def test_bad_data_format_marker_class(self):
self.assertEqual(parse_data(Marker, self.bad_marker_dummy), None)
def test_data_null(self):
self.assertEqual(parse_data(Marker, None), None)
def test_class_null(self):
self.assertEqual(parse_data(None, self.marker_dummy), None)
def test_bad_data(self):
self.assertIsNone(parse_data(Marker, self.bad_marker_dummy))
def test_parse_marker(self):
marker = parse_data(Marker, self.marker_dummy)
for key, value in self.marker_dummy.iteritems():
self.assertEqual(getattr(marker, key), value)
return sense
def most_frequent_sense(data, sense_dict, language):
outfile = codecs.open(language + '.baseline', encoding='utf-8', mode='w')
for lexelt, instances in sorted(
data.iteritems(),
key=lambda d: main.replace_accented(d[0].split('.')[0])):
for instance in sorted(instances,
key=lambda d: int(d[0].split('.')[-1])):
instance_id = instance[0]
sid = getFrequentSense(lexelt, sense_dict)
outfile.write(
main.replace_accented(lexelt + ' ' + instance_id + ' ' + sid +
'\n'))
outfile.close()
if __name__ == '__main__':
data_path = '/home/595/Homework3/data/'
if len(sys.argv) != 2:
print 'Usage: python baseline.py <language>'
sys.exit(0)
language = sys.argv[1]
train_file = data_path + language + '-train.xml'
dev_file = data_path + language + '-dev.xml'
train = main.parse_data(train_file)
test = main.parse_data(dev_file)
sense_dict = build_dict(train)
most_frequent_sense(test, sense_dict, language)
import couchdb
from main import parse_data
port = couchdb.client.Server('https://*****:*****@fiatjaf.iriscouch.com')['portao']
for row in port.view('webapp/only-raw', include_docs=True):
print row
print row.doc
data = parse_data(row.value)
data['_rev'] = row.doc.rev
print data
port[row.id] = data
Return the most frequent sense of a word (lexelt) in the training set
'''
sense = ''
try:
sense = sense_dict[lexelt]
except KeyError:
pass
return sense
def most_frequent_sense(data, sense_dict, language):
outfile = codecs.open(language + '.baseline', encoding='utf-8', mode='w')
for lexelt, instances in sorted(data.iteritems(), key=lambda d: main.replace_accented(d[0].split('.')[0])):
for instance in sorted(instances, key=lambda d: int(d[0].split('.')[-1])):
instance_id = instance[0]
sid = getFrequentSense(lexelt, sense_dict)
outfile.write(main.replace_accented(lexelt + ' ' + instance_id + ' ' + sid + '\n'))
outfile.close()
if __name__ == '__main__':
data_path = '/home/595/Homework3/data/'
if len(sys.argv) != 2:
print 'Usage: python baseline.py <language>'
sys.exit(0)
language = sys.argv[1]
train_file = data_path + language + '-train.xml'
dev_file = data_path + language + '-dev.xml'
train = main.parse_data(train_file)
test = main.parse_data(dev_file)
sense_dict = build_dict(train)
most_frequent_sense(test, sense_dict,language)
def test_class_null(self):
self.assertEqual(parse_data(None, self.marker_dummy), None)
import main from chromosome import Chromosome main.parse_data() fitness = main.fitness_function_procedure chromosome = Chromosome(['1', '101', '10', '10'], fitness) chromosome.calculate_value()
def test_data_null(self):
self.assertEqual(parse_data(Marker, None), None)
