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%global _empty_manifest_terminate_build 0
Name: python-DimensionalityReduction
Version: 1.1.4
Release: 1
Summary: Dimensionality reduction automatically
License: MIT
URL: https://github.com/HindyDS/DimensionalityReduction
Source0: https://mirrors.aliyun.com/pypi/web/packages/83/5e/fd78b4cbb71be84d8509a322fd8b59c5fdd643fce42f6bb582f44fa57617/DimensionalityReduction-1.1.4.tar.gz
BuildArch: noarch
%description
DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
This package is inspired by:
PyData DC 2016 | A Practical Guide to Dimensionality Reduction
Vishal Patel
October 8, 2016
Quick Start:
!pip install DimensionalityReduction
from DimensionalityReduction import DimensionalityReduction
dr = DimensionalityReduction()
dr.fit(<<dataset>>, <<target_name>>)
dr.plot()
%package -n python3-DimensionalityReduction
Summary: Dimensionality reduction automatically
Provides: python-DimensionalityReduction
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-DimensionalityReduction
DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
This package is inspired by:
PyData DC 2016 | A Practical Guide to Dimensionality Reduction
Vishal Patel
October 8, 2016
Quick Start:
!pip install DimensionalityReduction
from DimensionalityReduction import DimensionalityReduction
dr = DimensionalityReduction()
dr.fit(<<dataset>>, <<target_name>>)
dr.plot()
%package help
Summary: Development documents and examples for DimensionalityReduction
Provides: python3-DimensionalityReduction-doc
%description help
DimensionalityReduction aims to help the users to perfrom a chained dimensionality reduction techniques on a dataset automatically.
This package is inspired by:
PyData DC 2016 | A Practical Guide to Dimensionality Reduction
Vishal Patel
October 8, 2016
Quick Start:
!pip install DimensionalityReduction
from DimensionalityReduction import DimensionalityReduction
dr = DimensionalityReduction()
dr.fit(<<dataset>>, <<target_name>>)
dr.plot()
%prep
%autosetup -n DimensionalityReduction-1.1.4
%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-DimensionalityReduction -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.4-1
- Package Spec generated
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