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Replace all instances of ray.readthedocs.io with ray.io (#7994)
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@@ -4,7 +4,7 @@ name: ray-example-cython
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description: "Example of how to use Cython with ray"
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tags: ["ray-example", "cython"]
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documentation: https://ray.readthedocs.io/en/latest/advanced.html#cython-code-in-ray
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documentation: https://docs.ray.io/en/latest/advanced.html#cython-code-in-ray
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cluster:
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config: ray-project/cluster.yaml
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@@ -4,7 +4,7 @@ name: ray-example-lbfgs
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description: "Parallelizing the L-BFGS algorithm in ray"
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tags: ["ray-example", "optimization", "lbfgs"]
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documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_lbfgs.html
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documentation: https://docs.ray.io/en/latest/auto_examples/plot_lbfgs.html
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cluster:
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config: ray-project/cluster.yaml
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@@ -4,7 +4,7 @@ name: ray-example-newsreader
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description: "A simple news reader example that uses ray actors to serve requests"
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tags: ["ray-example", "flask", "rss", "newsreader"]
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documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_newsreader.html
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documentation: https://docs.ray.io/en/latest/auto_examples/plot_newsreader.html
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cluster:
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config: ray-project/cluster.yaml
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@@ -13,7 +13,7 @@ View the `code for this example`_.
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.. note::
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For an overview of Ray's reinforcement learning library, see `RLlib <http://ray.readthedocs.io/en/latest/rllib.html>`__.
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For an overview of Ray's reinforcement learning library, see `RLlib <http://docs.ray.io/en/latest/rllib.html>`__.
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To run the application, first install **ray** and then some dependencies:
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@@ -16,7 +16,7 @@ their results to be ready.
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hyperparameter tuning, use `Tune`_, a scalable hyperparameter
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tuning library built using Ray's Actor API.
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.. _`Tune`: https://ray.readthedocs.io/en/latest/tune.html
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.. _`Tune`: https://docs.ray.io/en/latest/tune.html
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Setup: Dependencies
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-------------------
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@@ -87,7 +87,7 @@ the top 10 words in these articles together with their word count:
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Note that this examples uses `distributed actor handles`_, which are still
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considered experimental.
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.. _`distributed actor handles`: http://ray.readthedocs.io/en/latest/actors.html
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.. _`distributed actor handles`: http://docs.ray.io/en/latest/actors.html
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There is a ``Mapper`` actor, which has a method ``get_range`` used to retrieve
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word counts for words in a certain range:
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