Skip to content

refactor: set default sampling mode for perturbation to weighted #21

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
farnsworth merged 1 commit into from
Jun 19, 2025
Merged

refactor: set default sampling mode for perturbation to weighted #21

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions src/aindo/anonymize/techniques/perturbation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,13 +46,13 @@ class PerturbationNumerical(BasePerturbation, Generic[NumericsT]):
If not set, the range is automatically computed as the minimum and maximum of the input data.
"""

sampling_mode: SamplingMode = "uniform"
sampling_mode: SamplingMode = "weighted"
perturbation_range: tuple[NumericsT, NumericsT] | None = None

def __init__(
self,
alpha: float,
sampling_mode: SamplingMode = "uniform",
sampling_mode: SamplingMode = "weighted",
perturbation_range: tuple[NumericsT, NumericsT] | None = None,
**kwargs: SeedT,
) -> None:
Expand Down Expand Up @@ -113,13 +113,13 @@ class PerturbationCategorical(BasePerturbation):
Automatically computed if not provided.
"""

sampling_mode: SamplingMode = "uniform"
sampling_mode: SamplingMode = "weighted"
frequencies: dict[str, float] | None = None

def __init__(
self,
alpha: float,
sampling_mode: SamplingMode = "uniform",
sampling_mode: SamplingMode = "weighted",
frequencies: dict[str, float] | None = None,
**kwargs: SeedT,
) -> None:
Expand Down