From 30e9e9a607dbdf0861c2d4dda51be76cdbb3893f Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 14:51:45 +0000 Subject: automatic import of python-permutationimportance --- .gitignore | 1 + python-permutationimportance.spec | 196 ++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 198 insertions(+) create mode 100644 python-permutationimportance.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..2d812c7 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/PermutationImportance-1.2.1.8.tar.gz diff --git a/python-permutationimportance.spec b/python-permutationimportance.spec new file mode 100644 index 0000000..f913c3f --- /dev/null +++ b/python-permutationimportance.spec @@ -0,0 +1,196 @@ +%global _empty_manifest_terminate_build 0 +Name: python-PermutationImportance +Version: 1.2.1.8 +Release: 1 +Summary: Important variables determined through data-based variable importance methods +License: MIT +URL: https://github.com/gelijergensen/PermutationImportance +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/44/78/83c67e1d2f88808904762e3521aecdfe9bfd08505fa9b1f2629a1c7b6e32/PermutationImportance-1.2.1.8.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-scipy +Requires: python3-scikit-learn + +%description +# PermutationImportance + +[![Build Status](https://travis-ci.com/gelijergensen/PermutationImportance.svg?branch=master)](https://travis-ci.com/gelijergensen/PermutationImportance) +[![Documentation Status](https://readthedocs.org/projects/permutationimportance/badge/?version=latest)](https://permutationimportance.readthedocs.io/en/latest/?badge=latest) + +![PermutationImportance Logo](https://github.com/gelijergensen/PermutationImportance/blob/master/docs/images/favicon.png) + +Welcome to the PermutationImportance library! + +PermutationImportance is a Python package for Python 2.7 and 3.6+ which provides +several methods for computing data-based predictor importance. The methods +implemented are model-agnostic and can be used for any machine learning model in +many stages of development. The complete documentation can be found at our +[Read The Docs](https://permutationimportance.readthedocs.io/en/latest/). + +## Version History + +- 1.2.1.8: Shuffled pandas dataframes now retain the proper row indexing +- 1.2.1.7: Fixed a bug where pandas dataframes were being unshuffled when + concatenated +- 1.2.1.5: Added documentation and examples and ensured compatibility with + Python 3.5+ +- 1.2.1.4: Original scores are now also bootstrapped to match the other results +- 1.2.1.3: Corrected an issue with multithreading deadlock when returned scores + were too large +- 1.2.1.1: Provided object to assist in constructing scoring strategies + - Also added two new strategies with bootstrapping support +- 1.2.1.0: Metrics can now accept kwargs and support bootstrapping +- 1.2.0.0: Added support for Sequential Selection and completely revised backend + for proper abstraction and extension + - Return object now keeps track of `(context, result)` pairs + - `abstract_variable_importance` enables implementation of custom variable + importance methods + - Backend is now correctly multithreaded (when specified) and is + OS-independent +- 1.1.0.0: Revised return object of Permutation Importance to support easy + retrieval of Breiman- and Lakshmanan-style importances +- 1.0.0.0: Published with `pip` support! + + + + +%package -n python3-PermutationImportance +Summary: Important variables determined through data-based variable importance methods +Provides: python-PermutationImportance +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-PermutationImportance +# PermutationImportance + +[![Build Status](https://travis-ci.com/gelijergensen/PermutationImportance.svg?branch=master)](https://travis-ci.com/gelijergensen/PermutationImportance) +[![Documentation Status](https://readthedocs.org/projects/permutationimportance/badge/?version=latest)](https://permutationimportance.readthedocs.io/en/latest/?badge=latest) + +![PermutationImportance Logo](https://github.com/gelijergensen/PermutationImportance/blob/master/docs/images/favicon.png) + +Welcome to the PermutationImportance library! + +PermutationImportance is a Python package for Python 2.7 and 3.6+ which provides +several methods for computing data-based predictor importance. The methods +implemented are model-agnostic and can be used for any machine learning model in +many stages of development. The complete documentation can be found at our +[Read The Docs](https://permutationimportance.readthedocs.io/en/latest/). + +## Version History + +- 1.2.1.8: Shuffled pandas dataframes now retain the proper row indexing +- 1.2.1.7: Fixed a bug where pandas dataframes were being unshuffled when + concatenated +- 1.2.1.5: Added documentation and examples and ensured compatibility with + Python 3.5+ +- 1.2.1.4: Original scores are now also bootstrapped to match the other results +- 1.2.1.3: Corrected an issue with multithreading deadlock when returned scores + were too large +- 1.2.1.1: Provided object to assist in constructing scoring strategies + - Also added two new strategies with bootstrapping support +- 1.2.1.0: Metrics can now accept kwargs and support bootstrapping +- 1.2.0.0: Added support for Sequential Selection and completely revised backend + for proper abstraction and extension + - Return object now keeps track of `(context, result)` pairs + - `abstract_variable_importance` enables implementation of custom variable + importance methods + - Backend is now correctly multithreaded (when specified) and is + OS-independent +- 1.1.0.0: Revised return object of Permutation Importance to support easy + retrieval of Breiman- and Lakshmanan-style importances +- 1.0.0.0: Published with `pip` support! + + + + +%package help +Summary: Development documents and examples for PermutationImportance +Provides: python3-PermutationImportance-doc +%description help +# PermutationImportance + +[![Build Status](https://travis-ci.com/gelijergensen/PermutationImportance.svg?branch=master)](https://travis-ci.com/gelijergensen/PermutationImportance) +[![Documentation Status](https://readthedocs.org/projects/permutationimportance/badge/?version=latest)](https://permutationimportance.readthedocs.io/en/latest/?badge=latest) + +![PermutationImportance Logo](https://github.com/gelijergensen/PermutationImportance/blob/master/docs/images/favicon.png) + +Welcome to the PermutationImportance library! + +PermutationImportance is a Python package for Python 2.7 and 3.6+ which provides +several methods for computing data-based predictor importance. The methods +implemented are model-agnostic and can be used for any machine learning model in +many stages of development. The complete documentation can be found at our +[Read The Docs](https://permutationimportance.readthedocs.io/en/latest/). + +## Version History + +- 1.2.1.8: Shuffled pandas dataframes now retain the proper row indexing +- 1.2.1.7: Fixed a bug where pandas dataframes were being unshuffled when + concatenated +- 1.2.1.5: Added documentation and examples and ensured compatibility with + Python 3.5+ +- 1.2.1.4: Original scores are now also bootstrapped to match the other results +- 1.2.1.3: Corrected an issue with multithreading deadlock when returned scores + were too large +- 1.2.1.1: Provided object to assist in constructing scoring strategies + - Also added two new strategies with bootstrapping support +- 1.2.1.0: Metrics can now accept kwargs and support bootstrapping +- 1.2.0.0: Added support for Sequential Selection and completely revised backend + for proper abstraction and extension + - Return object now keeps track of `(context, result)` pairs + - `abstract_variable_importance` enables implementation of custom variable + importance methods + - Backend is now correctly multithreaded (when specified) and is + OS-independent +- 1.1.0.0: Revised return object of Permutation Importance to support easy + retrieval of Breiman- and Lakshmanan-style importances +- 1.0.0.0: Published with `pip` support! + + + + +%prep +%autosetup -n PermutationImportance-1.2.1.8 + +%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-PermutationImportance -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 1.2.1.8-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..e054c2b --- /dev/null +++ b/sources @@ -0,0 +1 @@ +75c63d2630d056f232fbadbd5fa8c63e PermutationImportance-1.2.1.8.tar.gz -- cgit v1.2.3