def set_all_auxs(self, features=vc.get_all_features(), reset=False):
if reset:
self.X = []
self.Y = []
if not self.X:
self.X += self.all_auxs_to_features(features)
self.Y += self.get_aux_classifications()
def set_all_auxs(self, features=vc.get_all_features(), reset=False):
if reset:
self.X = []
self.Y = []
if not self.X:
self.X += self.all_auxs_to_features(features)
self.Y += self.get_aux_classifications()
f.write("%s\n%s: %s\n\n" % (str(aux), pair[0].upper(), sentdict.words_to_string()))
else:
f.write("\n%s: %0.3f\n" % (pair[0], pair[1]))
def initialize2(self, aux_type=None, rules_test=False, oversample=5):
if aux_type:
self.set_aux_type(aux_type)
if not rules_test:
self.oversample(multiplier=oversample)
if __name__ == "__main__":
start_time = time.clock()
features = vc.get_all_features(old_rules=True)
print "Features:",
print features
if len(argv) == 5:
classifier = VPEDetectionClassifier(int(argv[1]), int(argv[2]), int(argv[3]), int(argv[4]))
# c.all_auxiliaries.print_gold_auxiliaries()
# for a in c.gold_standard_auxs:
# try:
# sent = c.sentences.get_sentence(a.sentnum)
# sent.print_sentence()
# if 'his' in sent.words and 'wife' in sent.words:
# print sent.get_nltk_tree()
# # print c.sentences.get_sentence(a.sentnum).words[a.wordnum],
sentdict.words_to_string()))
else:
f.write('\n%s: %0.3f\n' % (pair[0], pair[1]))
def initialize2(self, aux_type=None, rules_test=False, oversample=5):
if aux_type:
self.set_aux_type(aux_type)
if not rules_test:
self.oversample(multiplier=oversample)
if __name__ == '__main__':
start_time = time.clock()
features = vc.get_all_features(old_rules=True)
print 'Features:',
print features
if len(argv) == 5:
classifier = VPEDetectionClassifier(int(argv[1]), int(argv[2]),
int(argv[3]), int(argv[4]))
# c.all_auxiliaries.print_gold_auxiliaries()
# for a in c.gold_standard_auxs:
# try:
# sent = c.sentences.get_sentence(a.sentnum)
# sent.print_sentence()
# if 'his' in sent.words and 'wife' in sent.words:
# print sent.get_nltk_tree()
