def _arff_load():
with closing(_open_openml_url(url, data_home)) as response:
if sparse is True:
return_type = _arff.COO
else:
return_type = _arff.DENSE_GEN
arff_file = _arff.loads(response.read().decode('utf-8'),
encode_nominal=encode_nominal,
return_type=return_type)
return arff_file
def _arff_load():
with closing(_open_openml_url(url, data_home)) as response:
if sparse is True:
return_type = _arff.COO
else:
return_type = _arff.DENSE
arff_file = _arff.loads(response.read().decode('utf-8'),
encode_nominal=encode_nominal,
return_type=return_type)
return arff_file
def _download_data_arff(file_id, sparse, data_home, encode_nominal=True):
# Accesses an ARFF file on the OpenML server. Documentation:
# https://www.openml.org/api_data_docs#!/data/get_download_id
# encode_nominal argument is to ensure unit testing, do not alter in
# production!
url = _DATA_FILE.format(file_id)
response = _open_openml_url(url, data_home)
if sparse is True:
return_type = _arff.COO
else:
return_type = _arff.DENSE
if PY2:
arff_file = _arff.load(response.read(), encode_nominal=encode_nominal,
return_type=return_type, )
else:
arff_file = _arff.loads(response.read().decode('utf-8'),
encode_nominal=encode_nominal,
return_type=return_type)
response.close()
return arff_file
def _download_data_arff(file_id, sparse, data_home, encode_nominal=True):
# Accesses an ARFF file on the OpenML server. Documentation:
# https://www.openml.org/api_data_docs#!/data/get_download_id
# encode_nominal argument is to ensure unit testing, do not alter in
# production!
url = _DATA_FILE.format(file_id)
response = _open_openml_url(url, data_home)
if sparse is True:
return_type = _arff.COO
else:
return_type = _arff.DENSE
if PY2:
arff_file = _arff.load(response.read(), encode_nominal=encode_nominal,
return_type=return_type, )
else:
arff_file = _arff.loads(response.read().decode('utf-8'),
encode_nominal=encode_nominal,
return_type=return_type)
response.close()
return arff_file
