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|
%global _empty_manifest_terminate_build 0
Name: python-probatus
Version: 2.0.0
Release: 1
Summary: Validation of binary classifiers and data used to develop them
License: MIT License
URL: https://github.com/ing-bank/probatus
Source0: https://mirrors.aliyun.com/pypi/web/packages/7a/7f/42a29bc5a2615232bac9e10a2ff13760724bc1736be1ed635572b158f51c/probatus-2.0.0.tar.gz
BuildArch: noarch
Requires: python3-scikit-learn
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-scipy
Requires: python3-joblib
Requires: python3-tqdm
Requires: python3-shap
Requires: python3-numpy
Requires: python3-numba
Requires: python3-scikit-learn
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-scipy
Requires: python3-joblib
Requires: python3-tqdm
Requires: python3-shap
Requires: python3-numpy
Requires: python3-numba
Requires: python3-lightgbm
Requires: python3-catboost
Requires: python3-xgboost
Requires: python3-flake8
Requires: python3-black
Requires: python3-pre-commit
Requires: python3-mypy
Requires: python3-flake8-docstrings
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pyflakes
Requires: python3-seaborn
Requires: python3-jupyter
Requires: python3-tabulate
Requires: python3-nbconvert
Requires: python3-pre-commit
Requires: python3-isort
Requires: python3-codespell
Requires: python3-mkdocs-material
Requires: python3-mkdocs-git-revision-date-localized-plugin
Requires: python3-mkdocs-git-authors-plugin
Requires: python3-mkdocs-table-reader-plugin
Requires: python3-mkdocs-enumerate-headings-plugin
Requires: python3-mkdocs-awesome-pages-plugin
Requires: python3-mkdocs-minify-plugin
Requires: python3-mknotebooks
Requires: python3-mkdocstrings
Requires: python3-mkdocs-print-site-plugin
Requires: python3-mkdocs-markdownextradata-plugin
Requires: python3-scikit-learn
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-scipy
Requires: python3-joblib
Requires: python3-tqdm
Requires: python3-shap
Requires: python3-numpy
Requires: python3-numba
Requires: python3-lightgbm
Requires: python3-catboost
Requires: python3-xgboost
%description
<img src="https://github.com/ing-bank/probatus/raw/main/docs/img/logo_large.png" width="120" align="right">
[](https://github.com/ing-bank/probatus/actions?query=workflow%3A%22Development%22)
[](#)
[](#)
[](#)
# Probatus
## Overview
**Probatus** is a python package that helps validate binary classification models and the data used to develop them. Main features:
- [probatus.interpret](https://ing-bank.github.io/probatus/api/model_interpret.html) provides shap-based model interpretation tools
- [probatus.metric_volatility](https://ing-bank.github.io/probatus/api/metric_volatility.html) provides tools using bootstrapping and/or different random seeds to assess metric volatility/stability.
- [probatus.sample_similarity](https://ing-bank.github.io/probatus/api/sample_similarity.html) to compare two datasets using resemblance modelling, f.e. `train` with out-of-time `test`.
- [probatus.feature_elimination.ShapRFECV](https://ing-bank.github.io/probatus/api/feature_elimination.html) provides cross-validated Recursive Feature Elimination using shap feature importance.
- [probatus.missing_values](https://ing-bank.github.io/probatus/api/imputation_selector.html) compares performance gains of different missing values imputation strategies for a given model.
## Installation
```bash
pip install probatus
```
## Documentation
Documentation at [ing-bank.github.io/probatus/](https://ing-bank.github.io/probatus/).
You can also check out blog posts about Probatus:
- [Open-sourcing ShapRFECV — Improved feature selection powered by SHAP.](https://medium.com/ing-blog/open-sourcing-shaprfecv-improved-feature-selection-powered-by-shap-994fe7861560)
- [Model Explainability — How to choose the right tool?](https://medium.com/ing-blog/model-explainability-how-to-choose-the-right-tool-6c5eabd1a46a)
## Contributing
To learn more about making a contribution to Probatus, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
%package -n python3-probatus
Summary: Validation of binary classifiers and data used to develop them
Provides: python-probatus
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-probatus
<img src="https://github.com/ing-bank/probatus/raw/main/docs/img/logo_large.png" width="120" align="right">
[](https://github.com/ing-bank/probatus/actions?query=workflow%3A%22Development%22)
[](#)
[](#)
[](#)
# Probatus
## Overview
**Probatus** is a python package that helps validate binary classification models and the data used to develop them. Main features:
- [probatus.interpret](https://ing-bank.github.io/probatus/api/model_interpret.html) provides shap-based model interpretation tools
- [probatus.metric_volatility](https://ing-bank.github.io/probatus/api/metric_volatility.html) provides tools using bootstrapping and/or different random seeds to assess metric volatility/stability.
- [probatus.sample_similarity](https://ing-bank.github.io/probatus/api/sample_similarity.html) to compare two datasets using resemblance modelling, f.e. `train` with out-of-time `test`.
- [probatus.feature_elimination.ShapRFECV](https://ing-bank.github.io/probatus/api/feature_elimination.html) provides cross-validated Recursive Feature Elimination using shap feature importance.
- [probatus.missing_values](https://ing-bank.github.io/probatus/api/imputation_selector.html) compares performance gains of different missing values imputation strategies for a given model.
## Installation
```bash
pip install probatus
```
## Documentation
Documentation at [ing-bank.github.io/probatus/](https://ing-bank.github.io/probatus/).
You can also check out blog posts about Probatus:
- [Open-sourcing ShapRFECV — Improved feature selection powered by SHAP.](https://medium.com/ing-blog/open-sourcing-shaprfecv-improved-feature-selection-powered-by-shap-994fe7861560)
- [Model Explainability — How to choose the right tool?](https://medium.com/ing-blog/model-explainability-how-to-choose-the-right-tool-6c5eabd1a46a)
## Contributing
To learn more about making a contribution to Probatus, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
%package help
Summary: Development documents and examples for probatus
Provides: python3-probatus-doc
%description help
<img src="https://github.com/ing-bank/probatus/raw/main/docs/img/logo_large.png" width="120" align="right">
[](https://github.com/ing-bank/probatus/actions?query=workflow%3A%22Development%22)
[](#)
[](#)
[](#)
# Probatus
## Overview
**Probatus** is a python package that helps validate binary classification models and the data used to develop them. Main features:
- [probatus.interpret](https://ing-bank.github.io/probatus/api/model_interpret.html) provides shap-based model interpretation tools
- [probatus.metric_volatility](https://ing-bank.github.io/probatus/api/metric_volatility.html) provides tools using bootstrapping and/or different random seeds to assess metric volatility/stability.
- [probatus.sample_similarity](https://ing-bank.github.io/probatus/api/sample_similarity.html) to compare two datasets using resemblance modelling, f.e. `train` with out-of-time `test`.
- [probatus.feature_elimination.ShapRFECV](https://ing-bank.github.io/probatus/api/feature_elimination.html) provides cross-validated Recursive Feature Elimination using shap feature importance.
- [probatus.missing_values](https://ing-bank.github.io/probatus/api/imputation_selector.html) compares performance gains of different missing values imputation strategies for a given model.
## Installation
```bash
pip install probatus
```
## Documentation
Documentation at [ing-bank.github.io/probatus/](https://ing-bank.github.io/probatus/).
You can also check out blog posts about Probatus:
- [Open-sourcing ShapRFECV — Improved feature selection powered by SHAP.](https://medium.com/ing-blog/open-sourcing-shaprfecv-improved-feature-selection-powered-by-shap-994fe7861560)
- [Model Explainability — How to choose the right tool?](https://medium.com/ing-blog/model-explainability-how-to-choose-the-right-tool-6c5eabd1a46a)
## Contributing
To learn more about making a contribution to Probatus, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
%prep
%autosetup -n probatus-2.0.0
%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-probatus -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1
- Package Spec generated
|
