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https://github.com/vale981/ray
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* Add xgboost-dask golden notebook * [examples] add modin-xgboost Jupyter notebook * Add xgboost dast gn * update modin notebook to sphinx-gallery compatible python file * fix build file * fix test * fix test * Add modin notebook anyscale connect test * Add missing file * add dask_xgboost notebook * Add the new modin golden notebook to CI * fix lint and filter out tests with py37 * Update release/golden_notebook_tests_new/golden_notebook_tests.yaml Co-authored-by: matthewdeng <matthew.j.deng@gmail.com> * Add dask, wait for cluster client, remove pytest * Replace folder * Fix * Update dask_xgboost_app_config.yaml * Update modin_xgboost_app_config.yaml * comment on filtered out tests Co-authored-by: Antoni Baum <antoni.baum@protonmail.com>
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Ray Tutorials and Examples
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==========================
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Get started with Ray, Tune, and RLlib with these notebooks that you can run online in Colab or Binder: `Ray Tutorial Notebooks <https://github.com/ray-project/tutorial>`__
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Ray Examples
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------------
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.. raw:: html
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<div class="sphx-glr-bigcontainer">
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.. toctree::
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:hidden:
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tips-for-first-time.rst
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testing-tips.rst
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progress_bar.rst
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plot_streaming.rst
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placement-group.rst
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.. customgalleryitem::
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:tooltip: Tips for first time users.
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:figure: /images/pipeline.png
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:description: :doc:`/auto_examples/tips-for-first-time`
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.. customgalleryitem::
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:tooltip: Tips for testing Ray applications
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:description: :doc:`/auto_examples/testing-tips`
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.. customgalleryitem::
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:tooltip: Progress Bar for Ray Tasks
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:description: :doc:`/auto_examples/progress_bar`
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.. customgalleryitem::
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:tooltip: Implement a simple streaming application using Ray’s actors.
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:description: :doc:`/auto_examples/plot_streaming`
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.. customgalleryitem::
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:tooltip: Learn placement group use cases with examples.
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:description: :doc:`/auto_examples/placement-group`
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.. raw:: html
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</div>
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Machine Learning Examples
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-------------------------
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.. raw:: html
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<div class="sphx-glr-bigcontainer">
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.. toctree::
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:hidden:
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plot_parameter_server.rst
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plot_hyperparameter.rst
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plot_lbfgs.rst
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plot_example-lm.rst
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plot_newsreader.rst
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dask_xgboost/dask_xgboost.rst
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modin_xgboost/modin_xgboost.rst
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.. customgalleryitem::
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:tooltip: Build a simple parameter server using Ray.
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:figure: /images/param_actor.png
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:description: :doc:`/auto_examples/plot_parameter_server`
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.. customgalleryitem::
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:tooltip: Simple parallel asynchronous hyperparameter evaluation.
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:figure: /images/hyperparameter.png
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:description: :doc:`/auto_examples/plot_hyperparameter`
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.. customgalleryitem::
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:tooltip: Walkthrough of parallelizing the L-BFGS algorithm.
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:description: :doc:`/auto_examples/plot_lbfgs`
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.. customgalleryitem::
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:tooltip: Distributed Fault-Tolerant BERT training for FAIRSeq using Ray.
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:description: :doc:`/auto_examples/plot_example-lm`
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.. customgalleryitem::
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:tooltip: Implementing a simple news reader using Ray.
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:description: :doc:`/auto_examples/plot_newsreader`
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.. customgalleryitem::
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:tooltip: Train an XGBoost-Ray model using Dask for data processing.
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:description: :doc:`/auto_examples/dask_xgboost/dask_xgboost`
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.. customgalleryitem::
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:tooltip: Train an XGBoost-Ray model using Modin for data processing.
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:description: :doc:`/auto_examples/modin_xgboost/modin_xgboost`
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.. raw:: html
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</div>
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Reinforcement Learning Examples
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-------------------------------
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These are simple examples that show you how to leverage Ray Core. For Ray's production-grade reinforcement learning library, see `RLlib <http://docs.ray.io/en/master/rllib.html>`__.
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.. raw:: html
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<div class="sphx-glr-bigcontainer">
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.. toctree::
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:hidden:
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plot_pong_example.rst
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plot_example-a3c.rst
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.. customgalleryitem::
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:tooltip: Asynchronous Advantage Actor Critic agent using Ray.
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:figure: /images/a3c.png
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:description: :doc:`/auto_examples/plot_example-a3c`
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.. customgalleryitem::
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:tooltip: Parallelizing a policy gradient calculation on OpenAI Gym Pong.
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:figure: /images/pong.png
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:description: :doc:`/auto_examples/plot_pong_example`
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.. raw:: html
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</div>
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End-to-end Machine Learning Guides
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----------------------------------
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These are full guides on how you can use Ray with various Machine Learning libraries
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.. raw:: html
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<div class="sphx-glr-bigcontainer">
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.. toctree::
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:hidden:
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using-ray-with-pytorch-lightning.rst
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.. customgalleryitem::
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:tooltip: Using Ray with PyTorch Lightning.
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:figure: /images/pytorch_lightning_small.png
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:description: :doc:`/auto_examples/using-ray-with-pytorch-lightning` |