diff options
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-causal-tree-learn.spec | 192 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 194 insertions, 0 deletions
@@ -0,0 +1 @@ +/causal-tree-learn-2.43.tar.gz diff --git a/python-causal-tree-learn.spec b/python-causal-tree-learn.spec new file mode 100644 index 0000000..8bad55b --- /dev/null +++ b/python-causal-tree-learn.spec @@ -0,0 +1,192 @@ +%global _empty_manifest_terminate_build 0 +Name: python-causal-tree-learn +Version: 2.43 +Release: 1 +Summary: Python implementation of causal trees with validation +License: MIT License +URL: https://github.com/edgeslab/CTL +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c8/fd/491e078adb7ce1b32c25340296c9cea51c24aad1443dc6ed0036bf3112ee/causal-tree-learn-2.43.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn +Requires: python3-scipy + +%description +# CTL + +Christopher Tran, Elena Zheleva, ["Learning Triggers for Heterogeneous Treatment Effects", AAAI 2019.](https://arxiv.org/pdf/1902.00087.pdf) + +Our method is based on and adapted from: https://github.com/susanathey/causalTree + + +## Requirements +* Python 3 +* sklearn +* scipy +* graphviz (if you want to plot the tree) + +## Installation + +through pip + +```bash +pip install causal_tree_learn +``` + +or clone the repository +```bash +python setup.py build_ext --inplace +``` + +## Demo Code + +Two demo codes are available to run. + +```bash +python binary_example.py +``` +Runs the tree on a binary example (asthma.txt) + +```bash +python trigger_example.py +``` +Runs a tree on a trigger problem where the treatment is continuous (note for now the example is made up and treatment does not affect outcome, this is only to show example code) + + +%package -n python3-causal-tree-learn +Summary: Python implementation of causal trees with validation +Provides: python-causal-tree-learn +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-causal-tree-learn +# CTL + +Christopher Tran, Elena Zheleva, ["Learning Triggers for Heterogeneous Treatment Effects", AAAI 2019.](https://arxiv.org/pdf/1902.00087.pdf) + +Our method is based on and adapted from: https://github.com/susanathey/causalTree + + +## Requirements +* Python 3 +* sklearn +* scipy +* graphviz (if you want to plot the tree) + +## Installation + +through pip + +```bash +pip install causal_tree_learn +``` + +or clone the repository +```bash +python setup.py build_ext --inplace +``` + +## Demo Code + +Two demo codes are available to run. + +```bash +python binary_example.py +``` +Runs the tree on a binary example (asthma.txt) + +```bash +python trigger_example.py +``` +Runs a tree on a trigger problem where the treatment is continuous (note for now the example is made up and treatment does not affect outcome, this is only to show example code) + + +%package help +Summary: Development documents and examples for causal-tree-learn +Provides: python3-causal-tree-learn-doc +%description help +# CTL + +Christopher Tran, Elena Zheleva, ["Learning Triggers for Heterogeneous Treatment Effects", AAAI 2019.](https://arxiv.org/pdf/1902.00087.pdf) + +Our method is based on and adapted from: https://github.com/susanathey/causalTree + + +## Requirements +* Python 3 +* sklearn +* scipy +* graphviz (if you want to plot the tree) + +## Installation + +through pip + +```bash +pip install causal_tree_learn +``` + +or clone the repository +```bash +python setup.py build_ext --inplace +``` + +## Demo Code + +Two demo codes are available to run. + +```bash +python binary_example.py +``` +Runs the tree on a binary example (asthma.txt) + +```bash +python trigger_example.py +``` +Runs a tree on a trigger problem where the treatment is continuous (note for now the example is made up and treatment does not affect outcome, this is only to show example code) + + +%prep +%autosetup -n causal-tree-learn-2.43 + +%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-causal-tree-learn -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.43-1 +- Package Spec generated @@ -0,0 +1 @@ +de9aa1261feac085c0f464284bd010f2 causal-tree-learn-2.43.tar.gz |