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%global _empty_manifest_terminate_build 0
Name: python-ConfigSpace
Version: 0.6.1
Release: 1
Summary: Creation and manipulation of parameter configuration spaces for automated algorithm configuration and hyperparameter tuning.
License: BSD 3-clause
URL: https://github.com/automl/ConfigSpace
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c4/d6/6664cb05a0099c23664864dc17532cbef3f20df9d9fd61fe52d2f051d01a/ConfigSpace-0.6.1.tar.gz
Requires: python3-numpy
Requires: python3-pyparsing
Requires: python3-scipy
Requires: python3-typing-extensions
Requires: python3-more-itertools
Requires: python3-pytest
Requires: python3-mypy
Requires: python3-pre-commit
Requires: python3-pytest-cov
Requires: python3-automl-sphinx-theme
%description
# ConfigSpace
A simple Python/Cython module implementing a domain specific language to manage
configuration spaces for algorithm configuration and hyperparameter optimization tasks.
Distributed under BSD 3-clause, see LICENSE except all files in the directory
ConfigSpace.nx, which are copied from the networkx package and licensed
under a BSD license.
The documentation can be found at [https://automl.github.io/ConfigSpace/main/](https://automl.github.io/ConfigSpace/main/).
Further examples can be found in the [SMAC documentation](https://automl.github.io/SMAC3/main/pages/examples/index.html).
## Minimum Example
```python
from ConfigSpace import ConfigurationSpace
cs = ConfigurationSpace(
name="myspace",
space={
"a": (0.1, 1.5), # UniformFloat
"b": (2, 10), # UniformInt
"c": ["mouse", "cat", "dog"], # Categorical
},
)
configs = cs.sample_configuration(2)
```
## Citing the ConfigSpace
```bibtex
@article{
title = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
author = {M. Lindauer and K. Eggensperger and M. Feurer and A. Biedenkapp and J. Marben and P. Müller and F. Hutter},
journal = {arXiv:1908.06756 {[cs.LG]}},
date = {2019},
}
```
%package -n python3-ConfigSpace
Summary: Creation and manipulation of parameter configuration spaces for automated algorithm configuration and hyperparameter tuning.
Provides: python-ConfigSpace
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-ConfigSpace
# ConfigSpace
A simple Python/Cython module implementing a domain specific language to manage
configuration spaces for algorithm configuration and hyperparameter optimization tasks.
Distributed under BSD 3-clause, see LICENSE except all files in the directory
ConfigSpace.nx, which are copied from the networkx package and licensed
under a BSD license.
The documentation can be found at [https://automl.github.io/ConfigSpace/main/](https://automl.github.io/ConfigSpace/main/).
Further examples can be found in the [SMAC documentation](https://automl.github.io/SMAC3/main/pages/examples/index.html).
## Minimum Example
```python
from ConfigSpace import ConfigurationSpace
cs = ConfigurationSpace(
name="myspace",
space={
"a": (0.1, 1.5), # UniformFloat
"b": (2, 10), # UniformInt
"c": ["mouse", "cat", "dog"], # Categorical
},
)
configs = cs.sample_configuration(2)
```
## Citing the ConfigSpace
```bibtex
@article{
title = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
author = {M. Lindauer and K. Eggensperger and M. Feurer and A. Biedenkapp and J. Marben and P. Müller and F. Hutter},
journal = {arXiv:1908.06756 {[cs.LG]}},
date = {2019},
}
```
%package help
Summary: Development documents and examples for ConfigSpace
Provides: python3-ConfigSpace-doc
%description help
# ConfigSpace
A simple Python/Cython module implementing a domain specific language to manage
configuration spaces for algorithm configuration and hyperparameter optimization tasks.
Distributed under BSD 3-clause, see LICENSE except all files in the directory
ConfigSpace.nx, which are copied from the networkx package and licensed
under a BSD license.
The documentation can be found at [https://automl.github.io/ConfigSpace/main/](https://automl.github.io/ConfigSpace/main/).
Further examples can be found in the [SMAC documentation](https://automl.github.io/SMAC3/main/pages/examples/index.html).
## Minimum Example
```python
from ConfigSpace import ConfigurationSpace
cs = ConfigurationSpace(
name="myspace",
space={
"a": (0.1, 1.5), # UniformFloat
"b": (2, 10), # UniformInt
"c": ["mouse", "cat", "dog"], # Categorical
},
)
configs = cs.sample_configuration(2)
```
## Citing the ConfigSpace
```bibtex
@article{
title = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
author = {M. Lindauer and K. Eggensperger and M. Feurer and A. Biedenkapp and J. Marben and P. Müller and F. Hutter},
journal = {arXiv:1908.06756 {[cs.LG]}},
date = {2019},
}
```
%prep
%autosetup -n ConfigSpace-0.6.1
%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-ConfigSpace -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.1-1
- Package Spec generated
|
