Adding unit test + updating changelog

Author: Neeratyoy

doc/progress.rst

@@ -21,6 +21,7 @@ Changelog
 * ADD #659: Lazy loading of task splits.
 * ADD #516: `run_flow_on_task` flow uploading is now optional.
 * ADD #680: Adds `openml.config.start_using_configuration_for_example` (and resp. stop) to easily connect to the test server.
+* ADD #695: A function to retieve all the data quality measures available.
 * FIX #642: `check_datasets_active` now correctly also returns active status of deactivated datasets.
 * FIX #304, #636: Allow serialization of numpy datatypes and list of lists of more types (e.g. bools, ints) for flows.
 * FIX #651: Fixed a bug that would prevent openml-python from finding the user's config file.

openml/datasets/functions.py

@@ -165,7 +165,7 @@ def _get_cache_directory(dataset: OpenMLDataset) -> str:
     return _create_cache_directory_for_id(DATASETS_CACHE_DIR_NAME, dataset.dataset_id)
 
 
-def list_qualities() -> list:
+def list_qualities() -> List[str]:
     """ Return list of data qualities available.
 
     The function performs an API call to retrieve the entire list of

tests/test_datasets/test_dataset_functions.py

@@ -1165,7 +1165,11 @@ def test_create_dataset_attributes_auto_without_df(self):
         creator = 'OpenML tester'
         collection_date = '01-01-2018'
         language = 'English'
-        licence = 'MIT'
+        licence = 'MIT'   def test_list_evaluation_measures(self):
+        measures = openml.evaluations.list_evaluation_measures()
+        self.assertEqual([isinstance(measures), list)
+        self.assertEqual(all([isinstance(s, str) for s in measures]), True)
+
         default_target_attribute = 'col_{}'.format(data.shape[1] - 1)
         citation = 'None'
         original_data_url = 'http://openml.github.io/openml-python'
@@ -1190,3 +1194,8 @@ def test_create_dataset_attributes_auto_without_df(self):
                 original_data_url=original_data_url,
                 paper_url=paper_url
             )
+
+    def test_list_qualities(self):
+        qualities = openml.datasets.list_qualities()
+        self.assertEqual(isinstance(qualities, list), True)
+        self.assertEqual(all([isinstance(q, str) for q in qualities]), True)