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Increase version to 0.2.0 (#74)

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* Remove tensorflow dependency if not using keras model
* Remove xgboost dependency if not using xgboost model
* Documentation updates

Signed-off-by: abigailt <abigailt@il.ibm.com>
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abigailgold 2023-05-08 12:50:55 +03:00 • committed by GitHub
parent 782edabd58
commit 8a9ef80146
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25 changed files with 306 additions and 152 deletions
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16
apt/risk/data_assessment/dataset_attack_result.py
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@ -8,11 +8,21 @@ DEFAULT_DATASET_NAME = "dataset"
@dataclass
class DatasetAttackResult:
"""
Basic class for storing privacy risk assessment results.
"""
pass
@dataclass
class DatasetAttackScore:
"""
Basic class for storing privacy risk assessment scores.
:param dataset_name: The name of the dataset that was assessed.
:param risk_score: The privacy risk score.
:param result: An optional list of more detailed results.
"""
dataset_name: str
risk_score: float
result: Optional[DatasetAttackResult]
@ -20,5 +30,11 @@ class DatasetAttackScore:
@dataclass
class DatasetAttackResultMembership(DatasetAttackResult):
"""
Class for storing membership attack results.
:param member_probabilities: The attack probabilities for member samples.
:param non_member_probabilities: The attack probabilities for non-member samples.
"""
member_probabilities: np.ndarray
non_member_probabilities: np.ndarray