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update readme
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RobinL committed Mar 13, 2020
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5 changes: 4 additions & 1 deletion README.md
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# splink: Probabalistic record linkage at scale

WARNING: Splink is work in progress and is currently in alpha testing. Please feel free to try it, but note this software is not fully tested, and the interface is likely to change rapidly.
WARNING: Splink is work in progress and is currently in beta testing. Please feel free to try it, but note this software is not fully tested, and the interface is likely to continue to change.

`splink` implements Fellegi-Sunter's canonical model of record linkage in Apache Spark, including EM algorithm to estimate parameters of the model.

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Better docs to come. The best documentation is currently a series of demonstrations notebooks in the [splink_demos](https://github.com/moj-analytical-services/splink_demos) repo.

## Acknowledgements

We are grateful to [ADR UK](https://www.adruk.org/) (Administrative Data Research UK) for providing funding for this work as part of the [Data First](https://www.adruk.org/our-work/browse-all-projects/data-first-harnessing-the-potential-of-linked-administrative-data-for-the-justice-system-169/) project.
4 changes: 2 additions & 2 deletions pyproject.toml
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[tool.poetry]
name = "splink"
version = "0.1.2"
version = "0.1.3"
description = "WORK IN PROGRESS: Implementation in Apache Spark of the EM algorithm to estimate parameters of Fellegi-Sunter's canonical model of record linkage."
authors = ["Robin Linacre <robinlinacre@hotmail.com>"]
authors = ["Robin Linacre <robinlinacre@hotmail.com>", "Sam Lindsay", "Theodore Manassis"]
license = "MIT"

[tool.poetry.dependencies]
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