本文整理汇总了Python中feature_extractor.FeatureExtractor.get_dbp_sparql方法的典型用法代码示例。如果您正苦于以下问题：Python FeatureExtractor.get_dbp_sparql方法的具体用法？Python FeatureExtractor.get_dbp_sparql怎么用？Python FeatureExtractor.get_dbp_sparql使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类feature_extractor.FeatureExtractor的用法示例。
在下文中一共展示了FeatureExtractor.get_dbp_sparql方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: load_queries
# 需要导入模块: from feature_extractor import FeatureExtractor [as 别名]
# 或者: from feature_extractor.FeatureExtractor import get_dbp_sparql [as 别名]
def load_queries(self):
if not os.path.exists(DIRECTORY):
os.makedirs(DIRECTORY)
data_split = int(TOTAL_QUERY*0.6)
validation_split = int(TOTAL_QUERY*0.2)
test_split = int(TOTAL_QUERY*0.2)
print "data_split", data_split
print "validation_split", validation_split
print "test_split", test_split
f = open(DBPEDIA_QUERY_LOG,'rb')
fq = open(DIRECTORY+"x_query.txt",'w')
ft = open(DIRECTORY+"y_time.txt",'w')
ff = open(DIRECTORY+"x_features.txt",'w')
x_f_csv = csv.writer(ff)
sparql = SPARQLWrapper(DBPEDIA_ENDPOINT)
f_extractor = FeatureExtractor()
sw1 = StopWatch()
sw2 = StopWatch()
print_log_split = int(TOTAL_QUERY/10)
count =0
for line in f:
if count%print_log_split==0:
print count," queries processed in ",sw2.elapsed_seconds()," seconds"
if(count>=TOTAL_QUERY):
break
if count == data_split:
fq.close()
ft.close()
ff.close()
fq = open(DIRECTORY+"xval_query.txt",'w')
ft = open(DIRECTORY+"yval_time.txt",'w')
ff = open(DIRECTORY+"xval_features.txt",'w')
x_f_csv = csv.writer(ff)
elif count == (data_split+validation_split):
fq.close()
ft.close()
ff.close()
fq = open(DIRECTORY+"xtest_query.txt",'w')
ft = open(DIRECTORY+"ytest_time.txt",'w')
ff = open(DIRECTORY+"xtest_features.txt",'w')
x_f_csv = csv.writer(ff)
try:
row = line.split()
query_log = row[6][1:-1]
#print query_log
par = urlparse.parse_qs(urlparse.urlparse(query_log).query)
#util.url_decode(row[6])
sparql_query = par['query'][0]
if sparql._parseQueryType(sparql_query) != SELECT:
continue
#print sparql_query
#print row
sparql_query = f_extractor.get_dbp_sparql(sparql_query)
#print sparql_query
feature_vector = f_extractor.get_features(sparql_query)
if feature_vector == None:
print "feature vector not found"
continue
sparql.setQuery(sparql_query)
sparql.setReturnFormat(JSON)
sw1.reset()
results = sparql.query().convert()
elapsed = sw1.elapsed_milliseconds()
result_rows = len(results["results"]["bindings"])
# if result_rows == 0:
# continue
# print "QUERY =", sparql_query
# print "feature vector:",feature_vector
# print elapsed, "seconds"
# print results
# print "rows", result_rows
# print "-----------------------"
#.........这里部分代码省略.........