def test_data_status(self):
dataset = OpenMLDataset(
"%s-UploadTestWithURL" % self._get_sentinel(),
"test", "ARFF",
version=1,
url="https://www.openml.org/data/download/61/dataset_61_iris.arff")
dataset.publish()
did = dataset.dataset_id
# admin key for test server (only adminds can activate datasets.
# all users can deactivate their own datasets)
openml.config.apikey = 'd488d8afd93b32331cf6ea9d7003d4c3'
openml.datasets.status_update(did, 'active')
# need to use listing fn, as this is immune to cache
result = openml.datasets.list_datasets(data_id=did, status='all')
self.assertEqual(len(result), 1)
self.assertEqual(result[did]['status'], 'active')
openml.datasets.status_update(did, 'deactivated')
# need to use listing fn, as this is immune to cache
result = openml.datasets.list_datasets(data_id=did, status='all')
self.assertEqual(len(result), 1)
self.assertEqual(result[did]['status'], 'deactivated')
openml.datasets.status_update(did, 'active')
# need to use listing fn, as this is immune to cache
result = openml.datasets.list_datasets(data_id=did, status='all')
self.assertEqual(len(result), 1)
self.assertEqual(result[did]['status'], 'active')
with self.assertRaises(ValueError):
openml.datasets.status_update(did, 'in_preparation')
# need to use listing fn, as this is immune to cache
result = openml.datasets.list_datasets(data_id=did, status='all')
self.assertEqual(len(result), 1)
self.assertEqual(result[did]['status'], 'active')
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
name="UploadTestWithURL", version=1, description="test",
format="ARFF",
url="https://www.openml.org/data/download/61/dataset_61_iris.arff")
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
name="UploadTestWithURL", version=1, description="test",
format="ARFF",
url="http://expdb.cs.kuleuven.be/expdb/data/uci/nominal/iris.arff")
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
name="UploadTestWithURL",
version=1,
description="test",
format="ARFF",
url="http://expdb.cs.kuleuven.be/expdb/data/uci/nominal/iris.arff")
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
name="UploadTestWithURL",
version=1,
description="test",
format="ARFF",
url="http://www.cs.umb.edu/~rickb/files/UCI/anneal.arff")
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_publish_dataset(self):
dataset = openml.datasets.get_dataset(3)
file_path = os.path.join(openml.config.get_cache_directory(),
"datasets", "3", "dataset.arff")
dataset = OpenMLDataset(
name="anneal", version=1, description="test",
format="ARFF", licence="public", default_target_attribute="class", data_file=file_path)
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_publish_dataset(self):
dataset = openml.datasets.get_dataset(3)
file_path = os.path.join(openml.config.get_cache_directory(),
"datasets", "3", "dataset.arff")
dataset = OpenMLDataset(
name="anneal", version=1, description="test",
format="ARFF", licence="public", default_target_attribute="class", data_file=file_path)
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
"%s-UploadTestWithURL" % self._get_sentinel(),
"test",
data_format="arff",
version=1,
url="https://www.openml.org/data/download/61/dataset_61_iris.arff",
)
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_publish_dataset(self):
# lazy loading not possible as we need the arff-file.
openml.datasets.get_dataset(3)
file_path = os.path.join(openml.config.get_cache_directory(),
"datasets", "3", "dataset.arff")
dataset = OpenMLDataset(
"anneal",
"test",
data_format="arff",
version=1,
licence="public",
default_target_attribute="class",
data_file=file_path,
)
dataset.publish()
self.assertIsInstance(dataset.dataset_id, int)
def test_upload_dataset_with_url(self):
dataset = OpenMLDataset(
name="UploadTestWithURL", version=1, description="test",
format="ARFF",
url="http://expdb.cs.kuleuven.be/expdb/data/uci/nominal/iris.arff")
return_code, return_value = dataset.publish()
# self.assertTrue("This is a read-only account" in return_value)
self.assertEqual(return_code, 200)
def test_publish_dataset(self):
dataset = openml.datasets.get_dataset(3)
file_path = os.path.join(openml.config.get_cache_directory(),
"datasets", "3", "dataset.arff")
dataset = OpenMLDataset(
name="anneal", version=1, description="test",
format="ARFF", licence="public", default_target_attribute="class", data_file=file_path)
return_code, return_value = dataset.publish()
# self.assertTrue("This is a read-only account" in return_value)
self.assertEqual(return_code, 200)