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Python module containing utilities for performing Incremental Privacy Preserving Record Linkage (IPPRL). Contains utilities for synthetic data generation and linkability metric calculation.

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cu-recordlinkage/ipprl_tools

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ipprl_tools

Installation

To install the package, run pip install git+git://github.com/cu-recordlinkage/ipprl_tools

Usage

The synthetic data tools can be found at: ipprl_tools.synthetic.py and imported into your python code using: from ipprl_tools import synthetic

We recommend viewing or running the tutorial Jupyter Notebook, which can be found at: ipprl_tools/docs/ipprl_tools Tutorial Notebook.ipynb

Note: you will need jupyter installed to run the notebook.

Documentation

Documentation is available at: ipprl_tools/docs/IPPRL_tools_Documentation.pdf.

Issues, Questions, or Suggestions

If you encounter issues with the module or have a suggestion for improvement, please open an issue here or email me at:

andrew.2.hill@ucdenver.edu

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Python module containing utilities for performing Incremental Privacy Preserving Record Linkage (IPPRL). Contains utilities for synthetic data generation and linkability metric calculation.

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