def generate_arffs(self, output_dir='arffs_output'):
if not self.feature_vectors:
return
types = set()
output_dir = "{}/{}".format(output_dir, self.dir)
minimum_inst = max(2, int(0.01 * len(self.feature_vectors)))
arff_writer.write("{}/all.arff".format(output_dir),
self.feature_vectors,
classification_feature=self.classification_feature,
write_many=False,
minimum_instance_counts_for_features=minimum_inst)
regex = re.compile(r'(.*)_uni_(.*)$')
commitment = ['NONE', 'CONSEQUENT']
non_commitment = ['ANTECEDENT', 'QUOTE', 'QUESTION']
collapsed_dicts = []
for vector in self.feature_vectors:
_modified = dict()
for key, value in vector.iteritems():
result = regex.match(key)
if result:
types.add(result.group(1))
if result.group(1) in commitment:
_modified['commitment: {}'.format(result.group(2))] = value
elif result.group(1) in non_commitment:
_modified['non_commitment: {}'.format(result.group(2))] = value
_modified[key] = vector[key]
collapsed_dicts.append(_modified)
arff_writer.write("{}/all_collapsed.arff".format(output_dir),
collapsed_dicts,
classification_feature=self.classification_feature,
write_many=False,
minimum_instance_counts_for_features=minimum_inst)
def write(self, vectors, topic, featureset):
minimum_inst = max(2, int(0.01 * len(vectors)))
output_dir = 'arffs'
arff_writer.write("{directory}/{topic}/{featureset}.arff".format(directory=output_dir,topic=topic,featureset=featureset),
self.feature_vectors_by_topic[topic],
classification_feature=self.label,
write_many=False,
minimum_instance_counts_for_features=minimum_inst)
def main(self, features=None):
with utils.random_guard(95064):
feature_vectors = self.get_feature_vectors(features)
print 'Derived features for', len(feature_vectors),'instances'
feature_vectors = utils.balance(feature_vectors, self.classification_feature)
print 'writing arff file with', len(feature_vectors),'instances'
#filename = self.results_dir+self.classification_feature+'/baseline/arffs/'
filename = 'baseline/arffs'
detailed_features, instance_keys = arff_writer.write(filename, feature_vectors, classification_feature=self.classification_feature, write_many=True, minimum_instance_counts_for_features=2)
self.write_arff_instance_data(filename, instance_keys, detailed_features)
