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%global _empty_manifest_terminate_build 0
Name: python-h2o-pysparkling-3.0
Version: 3.40.0.2.post1
Release: 1
Summary: Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
License: Apache v2
URL: https://github.com/h2oai/sparkling-water
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0c/af/296bc18f9269926951eb828dcfc4b4d92079cec6f5d1cb08e62f7910b5a9/h2o_pysparkling_3.0-3.40.0.2-1.tar.gz
BuildArch: noarch
%description
This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible
to use this package for scoring with Driverless AI MOJO models.
|Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai|
PySparkling Documentation is hosted at our documentation page:
- For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html
- For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html
- For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html
- For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html
- For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html
- For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html
%package -n python3-h2o-pysparkling-3.0
Summary: Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Provides: python-h2o-pysparkling-3.0
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-h2o-pysparkling-3.0
This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible
to use this package for scoring with Driverless AI MOJO models.
|Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai|
PySparkling Documentation is hosted at our documentation page:
- For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html
- For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html
- For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html
- For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html
- For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html
- For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html
%package help
Summary: Development documents and examples for h2o-pysparkling-3.0
Provides: python3-h2o-pysparkling-3.0-doc
%description help
This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible
to use this package for scoring with Driverless AI MOJO models.
|Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai|
PySparkling Documentation is hosted at our documentation page:
- For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html
- For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html
- For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html
- For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html
- For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html
- For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html
%prep
%autosetup -n h2o-pysparkling-3.0-3.40.0.2.post1
%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-h2o-pysparkling-3.0 -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 3.40.0.2.post1-1
- Package Spec generated
|
