Signed-off-by: abigailt <abigailt@il.ibm.com>
This commit is contained in:
abigailt 2023-12-24 17:11:38 -05:00
parent f646109e84
commit a3d294af2d

View file

@ -1082,10 +1082,9 @@ def test_minimizer_ndarray_one_hot_multi2():
gen.fit(dataset=ArrayDataset(x_train, predictions))
transformed = gen.transform(dataset=ArrayDataset(x_train))
gener = gen.generalizations
expected_generalizations = {'categories':
{'1': [[0, 1]], '2': [[0, 1]], '3': [[0, 1]], '4': [[0, 1]], '5': [[0, 1]]},
'category_representatives': {'1': [0], '2': [1], '3': [0], '4': [1], '5': [0]},
'range_representatives': {'0': []}, 'ranges': {'0': []}, 'untouched': ['6']}
expected_generalizations = {'categories': {'0': [[0, 1]], '1': [[0, 1]], '2': [[0, 1]]},
'category_representatives': {'0': [0], '1': [0], '2': [1]}, 'range_representatives': {},
'ranges': {}, 'untouched': []}
compare_generalizations(gener, expected_generalizations)
@ -1099,11 +1098,6 @@ def test_minimizer_ndarray_one_hot_multi2():
assert ((np.sum(transformed_slice, axis=1) == 1).all())
assert ((np.max(transformed_slice, axis=1) == 1).all())
assert ((np.min(transformed_slice, axis=1) == 0).all())
transformed_slice = transformed[:, QI_slices[1]]
assert ((np.sum(transformed_slice, axis=1) == 1).all())
assert ((np.max(transformed_slice, axis=1) == 1).all())
assert ((np.min(transformed_slice, axis=1) == 0).all())
def test_anonymize_pandas_one_hot():