Geometric Mechanism Local DP for SKLearn Pipeline
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评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 35/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 停滞
- 技术栈
- python, scikit-learn
调研方向
Start with src/pydp/ml/mechanisms/sklearn_pipeline.py and the SKLearn_Pipeline_Laplace_Mechanism.ipynb example. Compare the existing LaplaceMechanism operator with the Geometric Mechanism's initialization parameters and the Pipeline usage shown in the issue. Done means GeometricMechanism can be inserted between Pipeline steps in the demonstrated style.
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描述
Feature Description
Enabling the use of Geometric Mechanism for Local DP in SKLean Pipeline. This should be in the form of an "operator" that should be inserted between the layers in SKLearn's Pipeline class.
Additional Context
Current development for the SKLean Pipeline is in branch feature/machine-learning-1.
Preferably, the name of the "operator" imported from PyDP should be called GeometricMechanism. The use should be as seamless and convenient as possible in SKLearn's Pipeline class. For example:
pipe = Pipeline([
('scaler', StandardScaler()),
('laplace', GeometricMechanism()),
('nb', GaussianNB())
])
For more examples, please have look at the notebook example of Laplace Mechanism's implementation.
As starting guidance, please refer to the source code for LaplaceMechanism in here.
Note: the Geometric Mechanism would most likely need different parameters to be initialized compare to the Laplace Mechanism.
- 主要语言
- Python
- 星标
- 550
- 派生
- 143
- PR 合并指标
- 30 天内没有已合并 PR
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