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[doc] Promote dask from experimental. [skip ci] (#7509)

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Jiaming Yuan
2021-12-16 14:17:06 +08:00
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parent 05497a9141
commit a512b4b394
2 changed files with 16 additions and 6 deletions
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doc/tutorials/dask.rst
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@@ -3,11 +3,10 @@ Distributed XGBoost with Dask
#############################
`Dask <https://dask.org>`_ is a parallel computing library built on Python. Dask allows
easy management of distributed workers and excels at handling large distributed data science
workflows. The implementation in XGBoost originates from `dask-xgboost
easy management of distributed workers and excels at handling large distributed data
science workflows. The implementation in XGBoost originates from `dask-xgboost
<https://github.com/dask/dask-xgboost>`_ with some extended functionalities and a
different interface. Right now it is still under construction and may change (with proper
warnings) in the future. The tutorial here focuses on basic usage of dask with CPU tree
different interface. The tutorial here focuses on basic usage of dask with CPU tree
algorithms. For an overview of GPU based training and internal workings, see `A New,
Official Dask API for XGBoost
<https://medium.com/rapids-ai/a-new-official-dask-api-for-xgboost-e8b10f3d1eb7>`_.