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diff --git a/python-neptune-tensorflow-keras.spec b/python-neptune-tensorflow-keras.spec new file mode 100644 index 0000000..1226ca6 --- /dev/null +++ b/python-neptune-tensorflow-keras.spec @@ -0,0 +1,310 @@ +%global _empty_manifest_terminate_build 0 +Name: python-neptune-tensorflow-keras +Version: 2.1.1 +Release: 1 +Summary: Neptune.ai tensorflow-keras integration library +License: Apache-2.0 +URL: https://neptune.ai/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/77/03/eef0f99d51843695e6821d588ea12fcfa0597ab7e0a10f583bcc93523c6f/neptune_tensorflow_keras-2.1.1.tar.gz +BuildArch: noarch + +Requires: python3-importlib-metadata +Requires: python3-neptune +Requires: python3-pre-commit +Requires: python3-pydot +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-tensorflow + +%description +# Neptune + Keras integration + +Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models. + +## What will you get with this integration? + +* Log, display, organize, and compare ML experiments in a single place +* Version, store, manage, and query trained models, and model building metadata +* Record and monitor model training, evaluation, or production runs live +* Collaborate with a team + +## What will be logged to Neptune? + +* hyperparameters for every run, +* learning curves for losses and metrics during training, +* hardware consumption and stdout/stderr output during training, +* TensorFlow tensors as images to see model predictions live, +* training code and Git commit information, +* model weights, +* [other metadata](https://docs.neptune.ai/logging/what_you_can_log) + + +*Example charts in the Neptune UI with logged accuracy and loss* + +## Resources + +* [Documentation](https://docs.neptune.ai/integrations/keras) +* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts) +* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all) +* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb) + +## Example + +On the command line: + +``` +pip install neptune-tensorflow-keras +``` + +In Python: + +```python +import neptune +from neptune.integrations.tensorflow_keras import NeptuneCallback +from neptune import ANONYMOUS_API_TOKEN + +# Start a run +run = neptune.init_run( + project="common/tf-keras-integration", + api_token=ANONYMOUS_API_TOKEN, +) + +# Create a NeptuneCallback instance +neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics") + +# Pass the callback to model.fit() +model.fit( + x_train, + y_train, + epochs=5, + batch_size=64, + callbacks=[neptune_cbk], +) + +# Stop the run +run.stop() +``` + +## Support + +If you got stuck or simply want to talk to us, here are your options: + +* Check our [FAQ page](https://docs.neptune.ai/getting_help) +* You can submit bug reports, feature requests, or contributions directly to the repository. +* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP), +* You can just shoot us an email at support@neptune.ai + + + +%package -n python3-neptune-tensorflow-keras +Summary: Neptune.ai tensorflow-keras integration library +Provides: python-neptune-tensorflow-keras +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-neptune-tensorflow-keras +# Neptune + Keras integration + +Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models. + +## What will you get with this integration? + +* Log, display, organize, and compare ML experiments in a single place +* Version, store, manage, and query trained models, and model building metadata +* Record and monitor model training, evaluation, or production runs live +* Collaborate with a team + +## What will be logged to Neptune? + +* hyperparameters for every run, +* learning curves for losses and metrics during training, +* hardware consumption and stdout/stderr output during training, +* TensorFlow tensors as images to see model predictions live, +* training code and Git commit information, +* model weights, +* [other metadata](https://docs.neptune.ai/logging/what_you_can_log) + + +*Example charts in the Neptune UI with logged accuracy and loss* + +## Resources + +* [Documentation](https://docs.neptune.ai/integrations/keras) +* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts) +* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all) +* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb) + +## Example + +On the command line: + +``` +pip install neptune-tensorflow-keras +``` + +In Python: + +```python +import neptune +from neptune.integrations.tensorflow_keras import NeptuneCallback +from neptune import ANONYMOUS_API_TOKEN + +# Start a run +run = neptune.init_run( + project="common/tf-keras-integration", + api_token=ANONYMOUS_API_TOKEN, +) + +# Create a NeptuneCallback instance +neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics") + +# Pass the callback to model.fit() +model.fit( + x_train, + y_train, + epochs=5, + batch_size=64, + callbacks=[neptune_cbk], +) + +# Stop the run +run.stop() +``` + +## Support + +If you got stuck or simply want to talk to us, here are your options: + +* Check our [FAQ page](https://docs.neptune.ai/getting_help) +* You can submit bug reports, feature requests, or contributions directly to the repository. +* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP), +* You can just shoot us an email at support@neptune.ai + + + +%package help +Summary: Development documents and examples for neptune-tensorflow-keras +Provides: python3-neptune-tensorflow-keras-doc +%description help +# Neptune + Keras integration + +Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models. + +## What will you get with this integration? + +* Log, display, organize, and compare ML experiments in a single place +* Version, store, manage, and query trained models, and model building metadata +* Record and monitor model training, evaluation, or production runs live +* Collaborate with a team + +## What will be logged to Neptune? + +* hyperparameters for every run, +* learning curves for losses and metrics during training, +* hardware consumption and stdout/stderr output during training, +* TensorFlow tensors as images to see model predictions live, +* training code and Git commit information, +* model weights, +* [other metadata](https://docs.neptune.ai/logging/what_you_can_log) + + +*Example charts in the Neptune UI with logged accuracy and loss* + +## Resources + +* [Documentation](https://docs.neptune.ai/integrations/keras) +* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts) +* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all) +* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb) + +## Example + +On the command line: + +``` +pip install neptune-tensorflow-keras +``` + +In Python: + +```python +import neptune +from neptune.integrations.tensorflow_keras import NeptuneCallback +from neptune import ANONYMOUS_API_TOKEN + +# Start a run +run = neptune.init_run( + project="common/tf-keras-integration", + api_token=ANONYMOUS_API_TOKEN, +) + +# Create a NeptuneCallback instance +neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics") + +# Pass the callback to model.fit() +model.fit( + x_train, + y_train, + epochs=5, + batch_size=64, + callbacks=[neptune_cbk], +) + +# Stop the run +run.stop() +``` + +## Support + +If you got stuck or simply want to talk to us, here are your options: + +* Check our [FAQ page](https://docs.neptune.ai/getting_help) +* You can submit bug reports, feature requests, or contributions directly to the repository. +* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP), +* You can just shoot us an email at support@neptune.ai + + + +%prep +%autosetup -n neptune-tensorflow-keras-2.1.1 + +%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-neptune-tensorflow-keras -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.1-1 +- Package Spec generated |