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| author | CoprDistGit <infra@openeuler.org> | 2023-04-11 20:07:48 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-11 20:07:48 +0000 |
| commit | 4e084895a59f34f88ef1849c0d34109b121666a2 (patch) | |
| tree | dcd85f4918cdcb11700eb8bca123378d8795d2e6 | |
| parent | fb94cebe8cdbe960b124e05a8bba265603e26467 (diff) | |
automatic import of python-forestci
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-forestci.spec | 86 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 88 insertions, 0 deletions
@@ -0,0 +1 @@ +/forestci-0.6.tar.gz diff --git a/python-forestci.spec b/python-forestci.spec new file mode 100644 index 0000000..0a85341 --- /dev/null +++ b/python-forestci.spec @@ -0,0 +1,86 @@ +%global _empty_manifest_terminate_build 0 +Name: python-forestci +Version: 0.6 +Release: 1 +Summary: forestci: confidence intervals for scikit-learn forest algorithms +License: MIT +URL: http://github.com/scikit-learn-contrib/forest-confidence-interval +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5e/a3/bd82281a88d3c649a7faaf51dec4c78e0c6ed6edee0c5aa1e1f58ace0edc/forestci-0.6.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn + +%description +`forest-confidence-interval` is a Python module for calculating variance and +adding confidence intervals to scikit-learn random forest regression or +classification objects. The core functions calculate an in-bag and error bars +for random forest objects +Please read the repository README_ on Github or our documentation_ + +%package -n python3-forestci +Summary: forestci: confidence intervals for scikit-learn forest algorithms +Provides: python-forestci +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-forestci +`forest-confidence-interval` is a Python module for calculating variance and +adding confidence intervals to scikit-learn random forest regression or +classification objects. The core functions calculate an in-bag and error bars +for random forest objects +Please read the repository README_ on Github or our documentation_ + +%package help +Summary: Development documents and examples for forestci +Provides: python3-forestci-doc +%description help +`forest-confidence-interval` is a Python module for calculating variance and +adding confidence intervals to scikit-learn random forest regression or +classification objects. The core functions calculate an in-bag and error bars +for random forest objects +Please read the repository README_ on Github or our documentation_ + +%prep +%autosetup -n forestci-0.6 + +%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-forestci -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6-1 +- Package Spec generated @@ -0,0 +1 @@ +b959dd2a958f794bba159b12beabb9a6 forestci-0.6.tar.gz |
