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v0.3.20
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AmenRa committed Jul 1, 2024
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8 changes: 3 additions & 5 deletions README.md
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<a href="https://colab.research.google.com/github/AmenRa/ranx/blob/master/notebooks/1_overview.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"/></a>
</p>

## 🔥 News
<!-- ## 🔥 News
- [August 3 2023] `ranx` `0.3.16` is out!
This release adds support for importing Qrels and Runs from `parquet` files, exporting them as `pandas.DataFrame` and save them as `parquet` files.
Any dependence on `trec_eval` have been removed to make `ranx` truly MIT-compliant.
- [month day year] -->

## ⚡️ Introduction

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### Normalization Strategies

* [Min-Max Norm](https://amenra.github.io/ranx/normalization/#min-max-norm)
* [Min-Max Inverted Norm](https://amenra.github.io/ranx/normalization/#min-max-inverted-norm)
* [Max Norm](https://amenra.github.io/ranx/normalization/#sum-norm)
* [Sum Norm](https://amenra.github.io/ranx/normalization/#rank-norm)
* [ZMUV Norm](https://amenra.github.io/ranx/normalization/#max-norm)
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Please, refer to the [documentation](https://amenra.github.io/ranx/fusion) for further details.



## 🔌 Requirements
```bash
python>=3.8
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5 changes: 5 additions & 0 deletions changelog.md
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [0.3.20] - 2024-11-28
### Changed
- `Report` now allows for export to Pandas DataFrame thanks to @hotchpotch contrib.
- `min-max norm` now allows for inverting min and max for distance scores normalization thanks to @MochiXu, @diegoceccarelli, and @AndreP-git.

## [0.3.19] - 2023-11-28
### Added
- `Run` now has an additional property to store metrics standard deviation.
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2 changes: 1 addition & 1 deletion setup.py
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setuptools.setup(
name="ranx",
version="0.3.19",
version="0.3.20",
author="Elias Bassani",
author_email="elias.bssn@gmail.com",
description="ranx: A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion",
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