ai-privacy-toolkit/tests
abigailgold 6d81cd8ed4
Support for one-hot encoded features in minimization (#87)
* Initial version with first working test
* Make sure representative values in generalizations for 1-hot encoded features are consistent.
* Updated notebooks for one-hot encoded data
* Review comments

Signed-off-by: abigailt <abigailt@il.ibm.com>
2023-12-24 18:18:18 -05:00
..
__init__.py Initial commit 2021-04-28 14:00:19 +03:00
test_anonymizer.py Support 1-hot encoded features in anonymization + fixes related to encoding in minimization (#86) 2023-10-19 11:48:15 +03:00
test_data_assessment.py Add column distribution comparison, and a third method for dataset asssessment by membership classification (#84) 2023-09-21 16:43:19 +03:00
test_data_assessment_short_test.py Add column distribution comparison, and a third method for dataset asssessment by membership classification (#84) 2023-09-21 16:43:19 +03:00
test_datasets.py Formatting (#68) 2022-12-25 15:13:57 +02:00
test_minimizer.py Support for one-hot encoded features in minimization (#87) 2023-12-24 18:18:18 -05:00
test_model.py Increase version to 0.2.0 (#74) 2023-05-08 12:50:55 +03:00
test_pytorch.py Formatting (#68) 2022-12-25 15:13:57 +02:00