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%global _empty_manifest_terminate_build 0
Name: python-onehot
Version: 0.1.4
Release: 1
Summary: One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
License: MIT
URL: http://github.com/kmedian/onehot
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d5/22/ebc5e445551aeb9a3afcf6c5d8fe21d7544f63269329e162546236f41635/onehot-0.1.4.tar.gz
BuildArch: noarch
%description
[](https://travis-ci.org/kmedian/onehot)
[](https://mybinder.org/v2/gh/kmedian/onehot/master?urlpath=lab)
# onehot.OneHotDummy
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
[onehot.OneHotDummy](onehot/onehotdummy_class.py) does basically the same as [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) and [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) combined. It is also inspired by [pandas.get_dummies](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) and in particular its ease of use.
## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)
## Installation
The `onehot` [git repo](http://github.com/kmedian/onehot) is available as [PyPi package](https://pypi.org/project/onehot)
```
pip install onehot
```
## Usage
Check the [examples](examples) folder for notebooks.
## Commands
* Check syntax: `flake8 --ignore=F401`
<!-- * Run Unit Tests: `python -W ignore -m unittest discover` -->
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`
## Debugging
* Notebooks to profile python code are in the [profile](profile) folder
## Support
Please [open an issue](https://github.com/kmedian/onehot/issues/new) for support.
## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onehot/compare/).
%package -n python3-onehot
Summary: One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
Provides: python-onehot
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-onehot
[](https://travis-ci.org/kmedian/onehot)
[](https://mybinder.org/v2/gh/kmedian/onehot/master?urlpath=lab)
# onehot.OneHotDummy
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
[onehot.OneHotDummy](onehot/onehotdummy_class.py) does basically the same as [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) and [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) combined. It is also inspired by [pandas.get_dummies](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) and in particular its ease of use.
## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)
## Installation
The `onehot` [git repo](http://github.com/kmedian/onehot) is available as [PyPi package](https://pypi.org/project/onehot)
```
pip install onehot
```
## Usage
Check the [examples](examples) folder for notebooks.
## Commands
* Check syntax: `flake8 --ignore=F401`
<!-- * Run Unit Tests: `python -W ignore -m unittest discover` -->
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`
## Debugging
* Notebooks to profile python code are in the [profile](profile) folder
## Support
Please [open an issue](https://github.com/kmedian/onehot/issues/new) for support.
## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onehot/compare/).
%package help
Summary: Development documents and examples for onehot
Provides: python3-onehot-doc
%description help
[](https://travis-ci.org/kmedian/onehot)
[](https://mybinder.org/v2/gh/kmedian/onehot/master?urlpath=lab)
# onehot.OneHotDummy
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
[onehot.OneHotDummy](onehot/onehotdummy_class.py) does basically the same as [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) and [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) combined. It is also inspired by [pandas.get_dummies](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) and in particular its ease of use.
## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)
## Installation
The `onehot` [git repo](http://github.com/kmedian/onehot) is available as [PyPi package](https://pypi.org/project/onehot)
```
pip install onehot
```
## Usage
Check the [examples](examples) folder for notebooks.
## Commands
* Check syntax: `flake8 --ignore=F401`
<!-- * Run Unit Tests: `python -W ignore -m unittest discover` -->
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`
## Debugging
* Notebooks to profile python code are in the [profile](profile) folder
## Support
Please [open an issue](https://github.com/kmedian/onehot/issues/new) for support.
## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onehot/compare/).
%prep
%autosetup -n onehot-0.1.4
%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-onehot -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.4-1
- Package Spec generated
|
