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Fix dependencies (#42)
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* Updates from Overleaf

* Replace sklearn by scikit-learn in requirements; add scipy requirement

* Replace sklearn by scikit-learn in requirements; add scipy requirement

* Prepare release
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OlivierBinette authored Nov 14, 2022
1 parent 7037ec5 commit c8eef24
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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# Changelog

## 1.0.1 (November 14, 2022)

- FIX: Replace sklearn dependency with scikit-learn. Add scipy dependency.

## 1.0.0 (November 4, 2022)

- Added assignee benchmark datasets
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4 changes: 2 additions & 2 deletions paper/main.tex
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\documentclass[fontsize=11pt]{article}

\renewcommand{\baselinestretch}{1.2}
\renewcommand{\baselinestretch}{2}

\usepackage[english]{babel}

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\maketitle

\begin{abstract}
This paper introduces a novel evaluation methodology for entity resolution algorithms. It is motivated by PatentsView.org, a {U.S. Patents and Trademarks Office patent data exploration tool} that disambiguates patent inventors using an entity resolution algorithm. We provide a data collection methodology and tailored performance estimators that account for sampling biases. Our approach is simple, practical and principled -- key characteristics that allow us to paint the first representative picture of PatentsView's disambiguation performance. This approach is used to inform PatentsView's users of the reliability of the data and to allow the comparison of competing disambiguation algorithms.
This paper introduces a novel evaluation methodology for entity resolution algorithms. It is motivated by PatentsView.org, a U.S. Patents and Trademarks Office patent data exploration tool that disambiguates patent inventors using an entity resolution algorithm. We provide a data collection methodology and tailored performance estimators that account for sampling biases. Our approach is simple, practical and principled -- key characteristics that allow us to paint the first representative picture of PatentsView's disambiguation performance. This approach is used to inform PatentsView's users of the reliability of the data and to allow the comparison of competing disambiguation algorithms.
\end{abstract}

\section{Introduction}
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5 changes: 3 additions & 2 deletions setup.py
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if __name__ == "__main__":
setup(
name="pv_evaluation",
version="1.0.0",
version="1.0.1",
license_files = ('LICENSE.txt',),
author="Olivier Binette, Sarvo Madhavan",
author_email="[email protected]",
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"python-snappy",
"numpy",
"plotly",
"sklearn",
"scikit-learn",
"scipy",
"quarto",
"jinja2",
"kaleido",
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