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[tune][hotfix] fix links (#8904)

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Richard Liaw
2020-06-11 11:29:16 -07:00
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@@ -11,7 +11,7 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a
* Launch a multi-node :ref:`distributed hyperparameter sweep <tune-distributed>` in less than 10 lines of code.
* Supports any machine learning framework, :ref:`including PyTorch, XGBoost, MXNet, and Keras<tune-guides-overview>`.
* Automatically manages ref:`checkpoints <tune-checkpoint>`_ and logging to `TensorBoard <tune-logging>`__.
* Automatically manages :ref:`checkpoints <tune-checkpoint>` and logging to :ref:`TensorBoard <tune-logging>`.
* Choose among state of the art algorithms such as :ref:`Population Based Training (PBT) <tune-scheduler-pbt>`, :ref:`BayesOptSearch <bayesopt>`, :ref:`HyperBand/ASHA <tune-scheduler-hyperband>`.
* Move your models from training to serving on the same infrastructure with `Ray Serve`_.