%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
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 2.43-1
- Package Spec generated