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abigailgold 57e38ea4fa
Support for many new model output types (#93) 
* General model wrappers and methods supporting multi-label classifiers
* Support for pytorch multi-label binary classifier
* New model output types + single implementation of score method that supports multiple output types. 
* Anonymization with pytorch multi-output binary model
* Support for multi-label binary models in minimizer. 
* Support for multi-label logits/probabilities
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2024-07-03 09:04:59 -04:00
..
__init__.py Initial commit 2021-04-28 14:00:19 +03:00
test_anonymizer.py Support for many new model output types (#93) 2024-07-03 09:04:59 -04:00
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 Fix error with pandas dataframes (#92) 2024-02-13 08:56:12 -05:00
test_datasets.py Formatting (#68) 2022-12-25 15:13:57 +02:00
test_minimizer.py Support for many new model output types (#93) 2024-07-03 09:04:59 -04:00
test_model.py Support for many new model output types (#93) 2024-07-03 09:04:59 -04:00
test_pytorch.py Support for many new model output types (#93) 2024-07-03 09:04:59 -04:00