%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 - 0.6.1-1 - Package Spec generated