From ad0493ffb294e2c7f9bf8bf5627100f4b5ceecd3 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 20 Jun 2023 06:21:37 +0000 Subject: automatic import of python-cute-ranking --- .gitignore | 1 + python-cute-ranking.spec | 217 +++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 219 insertions(+) create mode 100644 python-cute-ranking.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..aab522b 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/cute_ranking-0.0.3.tar.gz diff --git a/python-cute-ranking.spec b/python-cute-ranking.spec new file mode 100644 index 0000000..e1aafb4 --- /dev/null +++ b/python-cute-ranking.spec @@ -0,0 +1,217 @@ +%global _empty_manifest_terminate_build 0 +Name: python-cute-ranking +Version: 0.0.3 +Release: 1 +Summary: A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239. +License: Apache Software License 2.0 +URL: https://github.com/ncoop57/cute_ranking/tree/main/ +Source0: https://mirrors.aliyun.com/pypi/web/packages/af/7e/ef728679c6f11668b99c8f4d5e3bbda5f1abd05c983850ca04cf666ff9c3/cute_ranking-0.0.3.tar.gz +BuildArch: noarch + +Requires: python3-numpy + +%description +# Cute Ranking +> A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239. + + +[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cute-ranking)](https://pypi.org/project/cute-ranking/) +[![PyPI Status](https://badge.fury.io/py/cute-ranking.svg)](https://badge.fury.io/py/cute-ranking) +[![PyPI Status](https://pepy.tech/badge/cute-ranking)](https://pepy.tech/project/cute-ranking) +[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/ncoop57/cute-ranking/blob/main/LICENSE) + +## Install + +Requires a minimum python installation of 3.6 + +`pip install cute_ranking` + +## How to use + +```python +from cute_ranking.core import mean_reciprocal_rank + +relevancies = [[0, 0, 1], [0, 1, 0], [1, 0, 0]] +mean_reciprocal_rank(relevancies) +``` + + + + + 0.611111111111111 + + + +The library current supports the following information retrieval ranking metrics: +1. Mean Reciprocal Rank - `mean_reciprocal_rank` +2. Relevancy Precision - `r_precision` +3. Precision at K - `precision_at_k` +4. Recall at K - `recall_at_k` +5. F1 score at K - `f1_score_at_k` +6. Average Precision - `average_precision` +7. Mean Average Precision - `mean_average_precision` +8. Discounted Cumulative Gain at K - `dcg_at_k` +9. Normalized Discounted Cumulative Gain at K - `ndcg_at_k` +10. Mean Rank - `mean_rank` +11. Hit@k - `hit_rate_at_k` + +# Contributing +PRs and issues welcome! Please make sure to read through the `CONTRIBUTING.md` doc for how to contribute :). + + + + +%package -n python3-cute-ranking +Summary: A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239. +Provides: python-cute-ranking +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-cute-ranking +# Cute Ranking +> A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239. + + +[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cute-ranking)](https://pypi.org/project/cute-ranking/) +[![PyPI Status](https://badge.fury.io/py/cute-ranking.svg)](https://badge.fury.io/py/cute-ranking) +[![PyPI Status](https://pepy.tech/badge/cute-ranking)](https://pepy.tech/project/cute-ranking) +[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/ncoop57/cute-ranking/blob/main/LICENSE) + +## Install + +Requires a minimum python installation of 3.6 + +`pip install cute_ranking` + +## How to use + +```python +from cute_ranking.core import mean_reciprocal_rank + +relevancies = [[0, 0, 1], [0, 1, 0], [1, 0, 0]] +mean_reciprocal_rank(relevancies) +``` + + + + + 0.611111111111111 + + + +The library current supports the following information retrieval ranking metrics: +1. Mean Reciprocal Rank - `mean_reciprocal_rank` +2. Relevancy Precision - `r_precision` +3. Precision at K - `precision_at_k` +4. Recall at K - `recall_at_k` +5. F1 score at K - `f1_score_at_k` +6. Average Precision - `average_precision` +7. Mean Average Precision - `mean_average_precision` +8. Discounted Cumulative Gain at K - `dcg_at_k` +9. Normalized Discounted Cumulative Gain at K - `ndcg_at_k` +10. Mean Rank - `mean_rank` +11. Hit@k - `hit_rate_at_k` + +# Contributing +PRs and issues welcome! Please make sure to read through the `CONTRIBUTING.md` doc for how to contribute :). + + + + +%package help +Summary: Development documents and examples for cute-ranking +Provides: python3-cute-ranking-doc +%description help +# Cute Ranking +> A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239. + + +[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cute-ranking)](https://pypi.org/project/cute-ranking/) +[![PyPI Status](https://badge.fury.io/py/cute-ranking.svg)](https://badge.fury.io/py/cute-ranking) +[![PyPI Status](https://pepy.tech/badge/cute-ranking)](https://pepy.tech/project/cute-ranking) +[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/ncoop57/cute-ranking/blob/main/LICENSE) + +## Install + +Requires a minimum python installation of 3.6 + +`pip install cute_ranking` + +## How to use + +```python +from cute_ranking.core import mean_reciprocal_rank + +relevancies = [[0, 0, 1], [0, 1, 0], [1, 0, 0]] +mean_reciprocal_rank(relevancies) +``` + + + + + 0.611111111111111 + + + +The library current supports the following information retrieval ranking metrics: +1. Mean Reciprocal Rank - `mean_reciprocal_rank` +2. Relevancy Precision - `r_precision` +3. Precision at K - `precision_at_k` +4. Recall at K - `recall_at_k` +5. F1 score at K - `f1_score_at_k` +6. Average Precision - `average_precision` +7. Mean Average Precision - `mean_average_precision` +8. Discounted Cumulative Gain at K - `dcg_at_k` +9. Normalized Discounted Cumulative Gain at K - `ndcg_at_k` +10. Mean Rank - `mean_rank` +11. Hit@k - `hit_rate_at_k` + +# Contributing +PRs and issues welcome! Please make sure to read through the `CONTRIBUTING.md` doc for how to contribute :). + + + + +%prep +%autosetup -n cute_ranking-0.0.3 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-cute-ranking -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot - 0.0.3-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..af72346 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +3ef055916fc640bcd49499fd60037031 cute_ranking-0.0.3.tar.gz -- cgit v1.2.3