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@@ -0,0 +1 @@ +/autokeras-1.1.0.tar.gz diff --git a/python-autokeras.spec b/python-autokeras.spec new file mode 100644 index 0000000..0349ae1 --- /dev/null +++ b/python-autokeras.spec @@ -0,0 +1,368 @@ +%global _empty_manifest_terminate_build 0 +Name: python-autokeras +Version: 1.1.0 +Release: 1 +Summary: AutoML for deep learning +License: Apache License 2.0 +URL: http://autokeras.com +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8e/9d/3013e7f48742e23cd44f52ee3089b399dc8755b538fb5fac2d8d96340d61/autokeras-1.1.0.tar.gz +BuildArch: noarch + +Requires: python3-packaging +Requires: python3-tensorflow +Requires: python3-keras-tuner +Requires: python3-keras-nlp +Requires: python3-pandas +Requires: python3-pytest +Requires: python3-flake8 +Requires: python3-black[jupyter] +Requires: python3-isort +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-coverage +Requires: python3-typedapi +Requires: python3-scikit-learn + +%description +<p align="center"> + <img width="500" alt="logo" src="https://autokeras.com/img/row_red.svg"/> +</p> + +[](https://github.com/keras-team/autokeras/actions?query=workflow%3ATests+branch%3Amaster) +[](https://codecov.io/gh/keras-team/autokeras) +[](https://badge.fury.io/py/autokeras) +[](https://www.python.org/downloads/) +[](https://www.tensorflow.org/versions) +[](https://github.com/keras-team/autokeras/issues) + +Official Website: [autokeras.com](https://autokeras.com) + +## +AutoKeras: An AutoML system based on Keras. +It is developed by <a href="http://faculty.cs.tamu.edu/xiahu/index.html" target="_blank" rel="nofollow">DATA Lab</a> at Texas A&M University. +The goal of AutoKeras is to make machine learning accessible to everyone. + +## Learning resources + +* A short example. + +```python +import autokeras as ak + +clf = ak.ImageClassifier() +clf.fit(x_train, y_train) +results = clf.predict(x_test) +``` + +* [Official website tutorials](https://autokeras.com/tutorial/overview/). +* The book of [*Automated Machine Learning in Action*](https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin). +* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser). +<p align="center"> +<a href="https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin"><img src="https://images.manning.com/360/480/resize/book/0/fc56aaf-b2ba-4ef4-85b3-4a31edbe8ecc/Song-AML-HI.png" alt="drawing" width="266"/></a> +  +  +<a href="https://www.manning.com/liveprojectseries/autokeras-ser"><img src="https://images.manning.com/360/480/resize/liveProjectSeries/9/38c715a-0c8c-4f66-b440-83d29993877a/ImageClassificationwithAutoKeras.jpg" alt="drawing" width="250"/></a> +</p> + + +## Installation + +To install the package, please use the `pip` installation as follows: + +```shell +pip3 install autokeras +``` + +Please follow the [installation guide](https://autokeras.com/install) for more details. + +**Note:** Currently, AutoKeras is only compatible with **Python >= 3.7** and **TensorFlow >= 2.8.0**. + +## Community + +Ask your questions on our [GitHub Discussions](https://github.com/keras-team/autokeras/discussions). + +## Contributing Code + +Here is how we manage our project. + +We pick the critical issues to work on from [GitHub issues](https://github.com/keras-team/autokeras/issues). +They will be added to this [Project](https://github.com/keras-team/autokeras/projects/3). +Some of the issues will then be added to the [milestones](https://github.com/keras-team/autokeras/milestones), +which are used to plan for the releases. + +Refer to our [Contributing Guide](https://autokeras.com/contributing/) to learn the best practices. + +Thank all the contributors! + +[](https://github.com/keras-team/autokeras/graphs/contributor) + +## Cite this work + +Haifeng Jin, François Chollet, Qingquan Song, and Xia Hu. "AutoKeras: An AutoML Library for Deep Learning." *the Journal of machine Learning research* 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html)) + +Biblatex entry: + +```bibtex +@article{JMLR:v24:20-1355, + author = {Haifeng Jin and François Chollet and Qingquan Song and Xia Hu}, + title = {AutoKeras: An AutoML Library for Deep Learning}, + journal = {Journal of Machine Learning Research}, + year = {2023}, + volume = {24}, + number = {6}, + pages = {1--6}, + url = {http://jmlr.org/papers/v24/20-1355.html} +} +``` + +## Acknowledgements + +The authors gratefully acknowledge the D3M program of the Defense Advanced Research Projects Agency (DARPA) administered through AFRL contract FA8750-17-2-0116; the Texas A&M College of Engineering, and Texas A&M University. + + +%package -n python3-autokeras +Summary: AutoML for deep learning +Provides: python-autokeras +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-autokeras +<p align="center"> + <img width="500" alt="logo" src="https://autokeras.com/img/row_red.svg"/> +</p> + +[](https://github.com/keras-team/autokeras/actions?query=workflow%3ATests+branch%3Amaster) +[](https://codecov.io/gh/keras-team/autokeras) +[](https://badge.fury.io/py/autokeras) +[](https://www.python.org/downloads/) +[](https://www.tensorflow.org/versions) +[](https://github.com/keras-team/autokeras/issues) + +Official Website: [autokeras.com](https://autokeras.com) + +## +AutoKeras: An AutoML system based on Keras. +It is developed by <a href="http://faculty.cs.tamu.edu/xiahu/index.html" target="_blank" rel="nofollow">DATA Lab</a> at Texas A&M University. +The goal of AutoKeras is to make machine learning accessible to everyone. + +## Learning resources + +* A short example. + +```python +import autokeras as ak + +clf = ak.ImageClassifier() +clf.fit(x_train, y_train) +results = clf.predict(x_test) +``` + +* [Official website tutorials](https://autokeras.com/tutorial/overview/). +* The book of [*Automated Machine Learning in Action*](https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin). +* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser). +<p align="center"> +<a href="https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin"><img src="https://images.manning.com/360/480/resize/book/0/fc56aaf-b2ba-4ef4-85b3-4a31edbe8ecc/Song-AML-HI.png" alt="drawing" width="266"/></a> +  +  +<a href="https://www.manning.com/liveprojectseries/autokeras-ser"><img src="https://images.manning.com/360/480/resize/liveProjectSeries/9/38c715a-0c8c-4f66-b440-83d29993877a/ImageClassificationwithAutoKeras.jpg" alt="drawing" width="250"/></a> +</p> + + +## Installation + +To install the package, please use the `pip` installation as follows: + +```shell +pip3 install autokeras +``` + +Please follow the [installation guide](https://autokeras.com/install) for more details. + +**Note:** Currently, AutoKeras is only compatible with **Python >= 3.7** and **TensorFlow >= 2.8.0**. + +## Community + +Ask your questions on our [GitHub Discussions](https://github.com/keras-team/autokeras/discussions). + +## Contributing Code + +Here is how we manage our project. + +We pick the critical issues to work on from [GitHub issues](https://github.com/keras-team/autokeras/issues). +They will be added to this [Project](https://github.com/keras-team/autokeras/projects/3). +Some of the issues will then be added to the [milestones](https://github.com/keras-team/autokeras/milestones), +which are used to plan for the releases. + +Refer to our [Contributing Guide](https://autokeras.com/contributing/) to learn the best practices. + +Thank all the contributors! + +[](https://github.com/keras-team/autokeras/graphs/contributor) + +## Cite this work + +Haifeng Jin, François Chollet, Qingquan Song, and Xia Hu. "AutoKeras: An AutoML Library for Deep Learning." *the Journal of machine Learning research* 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html)) + +Biblatex entry: + +```bibtex +@article{JMLR:v24:20-1355, + author = {Haifeng Jin and François Chollet and Qingquan Song and Xia Hu}, + title = {AutoKeras: An AutoML Library for Deep Learning}, + journal = {Journal of Machine Learning Research}, + year = {2023}, + volume = {24}, + number = {6}, + pages = {1--6}, + url = {http://jmlr.org/papers/v24/20-1355.html} +} +``` + +## Acknowledgements + +The authors gratefully acknowledge the D3M program of the Defense Advanced Research Projects Agency (DARPA) administered through AFRL contract FA8750-17-2-0116; the Texas A&M College of Engineering, and Texas A&M University. + + +%package help +Summary: Development documents and examples for autokeras +Provides: python3-autokeras-doc +%description help +<p align="center"> + <img width="500" alt="logo" src="https://autokeras.com/img/row_red.svg"/> +</p> + +[](https://github.com/keras-team/autokeras/actions?query=workflow%3ATests+branch%3Amaster) +[](https://codecov.io/gh/keras-team/autokeras) +[](https://badge.fury.io/py/autokeras) +[](https://www.python.org/downloads/) +[](https://www.tensorflow.org/versions) +[](https://github.com/keras-team/autokeras/issues) + +Official Website: [autokeras.com](https://autokeras.com) + +## +AutoKeras: An AutoML system based on Keras. +It is developed by <a href="http://faculty.cs.tamu.edu/xiahu/index.html" target="_blank" rel="nofollow">DATA Lab</a> at Texas A&M University. +The goal of AutoKeras is to make machine learning accessible to everyone. + +## Learning resources + +* A short example. + +```python +import autokeras as ak + +clf = ak.ImageClassifier() +clf.fit(x_train, y_train) +results = clf.predict(x_test) +``` + +* [Official website tutorials](https://autokeras.com/tutorial/overview/). +* The book of [*Automated Machine Learning in Action*](https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin). +* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser). +<p align="center"> +<a href="https://www.manning.com/books/automated-machine-learning-in-action?query=automated&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin"><img src="https://images.manning.com/360/480/resize/book/0/fc56aaf-b2ba-4ef4-85b3-4a31edbe8ecc/Song-AML-HI.png" alt="drawing" width="266"/></a> +  +  +<a href="https://www.manning.com/liveprojectseries/autokeras-ser"><img src="https://images.manning.com/360/480/resize/liveProjectSeries/9/38c715a-0c8c-4f66-b440-83d29993877a/ImageClassificationwithAutoKeras.jpg" alt="drawing" width="250"/></a> +</p> + + +## Installation + +To install the package, please use the `pip` installation as follows: + +```shell +pip3 install autokeras +``` + +Please follow the [installation guide](https://autokeras.com/install) for more details. + +**Note:** Currently, AutoKeras is only compatible with **Python >= 3.7** and **TensorFlow >= 2.8.0**. + +## Community + +Ask your questions on our [GitHub Discussions](https://github.com/keras-team/autokeras/discussions). + +## Contributing Code + +Here is how we manage our project. + +We pick the critical issues to work on from [GitHub issues](https://github.com/keras-team/autokeras/issues). +They will be added to this [Project](https://github.com/keras-team/autokeras/projects/3). +Some of the issues will then be added to the [milestones](https://github.com/keras-team/autokeras/milestones), +which are used to plan for the releases. + +Refer to our [Contributing Guide](https://autokeras.com/contributing/) to learn the best practices. + +Thank all the contributors! + +[](https://github.com/keras-team/autokeras/graphs/contributor) + +## Cite this work + +Haifeng Jin, François Chollet, Qingquan Song, and Xia Hu. "AutoKeras: An AutoML Library for Deep Learning." *the Journal of machine Learning research* 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html)) + +Biblatex entry: + +```bibtex +@article{JMLR:v24:20-1355, + author = {Haifeng Jin and François Chollet and Qingquan Song and Xia Hu}, + title = {AutoKeras: An AutoML Library for Deep Learning}, + journal = {Journal of Machine Learning Research}, + year = {2023}, + volume = {24}, + number = {6}, + pages = {1--6}, + url = {http://jmlr.org/papers/v24/20-1355.html} +} +``` + +## Acknowledgements + +The authors gratefully acknowledge the D3M program of the Defense Advanced Research Projects Agency (DARPA) administered through AFRL contract FA8750-17-2-0116; the Texas A&M College of Engineering, and Texas A&M University. + + +%prep +%autosetup -n autokeras-1.1.0 + +%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-autokeras -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.0-1 +- Package Spec generated @@ -0,0 +1 @@ +7943cf503c2b4bfef114e3672c802635 autokeras-1.1.0.tar.gz |