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diff --git a/python-mlinsights.spec b/python-mlinsights.spec new file mode 100644 index 0000000..3660092 --- /dev/null +++ b/python-mlinsights.spec @@ -0,0 +1,123 @@ +%global _empty_manifest_terminate_build 0 +Name: python-mlinsights +Version: 0.3.649 +Release: 1 +Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting. +License: MIT +URL: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8d/27/716cd86f23dffacfae3bced0797f1c06c34eddedab13f8532952b705a72e/mlinsights-0.3.649.tar.gz + +Requires: python3-cython +Requires: python3-scikit-learn +Requires: python3-pandas +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-pandas-streaming +Requires: python3-numpy + +%description +*mlinsights* extends *scikit-learn* with a couple of new models, +transformers, metrics, plotting. It provides new trainers such as +*QuantileLinearRegression* which trains a linear regression with *L1* norm +non-linear correlation based on decision trees, or +*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor +which trains a multi-layer perceptron with *L1* norm. +It also explores *PredictableTSNE* which trains a supervized +model to replicate *t-SNE* results or a *PiecewiseRegression* +which partitions the data before fitting a model on each bucket. +* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_ +* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_ +* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_ +Function ``pipeline2dot`` converts a pipeline into a graph: + from mlinsights.plotting import pipeline2dot + dot = pipeline2dot(clf, df) + +%package -n python3-mlinsights +Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting. +Provides: python-mlinsights +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-mlinsights +*mlinsights* extends *scikit-learn* with a couple of new models, +transformers, metrics, plotting. It provides new trainers such as +*QuantileLinearRegression* which trains a linear regression with *L1* norm +non-linear correlation based on decision trees, or +*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor +which trains a multi-layer perceptron with *L1* norm. +It also explores *PredictableTSNE* which trains a supervized +model to replicate *t-SNE* results or a *PiecewiseRegression* +which partitions the data before fitting a model on each bucket. +* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_ +* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_ +* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_ +Function ``pipeline2dot`` converts a pipeline into a graph: + from mlinsights.plotting import pipeline2dot + dot = pipeline2dot(clf, df) + +%package help +Summary: Development documents and examples for mlinsights +Provides: python3-mlinsights-doc +%description help +*mlinsights* extends *scikit-learn* with a couple of new models, +transformers, metrics, plotting. It provides new trainers such as +*QuantileLinearRegression* which trains a linear regression with *L1* norm +non-linear correlation based on decision trees, or +*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor +which trains a multi-layer perceptron with *L1* norm. +It also explores *PredictableTSNE* which trains a supervized +model to replicate *t-SNE* results or a *PiecewiseRegression* +which partitions the data before fitting a model on each bucket. +* `GitHub/mlinsights <https://github.com/sdpython/mlinsights/>`_ +* `documentation <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html>`_ +* `Blog <http://www.xavierdupre.fr/app/mlinsights/helpsphinx/blog/main_0000.html#ap-main-0>`_ +Function ``pipeline2dot`` converts a pipeline into a graph: + from mlinsights.plotting import pipeline2dot + dot = pipeline2dot(clf, df) + +%prep +%autosetup -n mlinsights-0.3.649 + +%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-mlinsights -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.649-1 +- Package Spec generated |