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[docs] Sort library list alphabetically and add experimental note to Dask (#10815)

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* sort

* update

* update
This commit is contained in:
Eric Liang
2020-09-23 00:01:40 +00:00
committed by Barak Michener
parent 9be67e81f8
commit 3b4628cae8
2 changed files with 19 additions and 15 deletions
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doc/source/dask-on-ray.rst
+5
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@@ -7,6 +7,11 @@ analyses using the familiar Dask collections (dataframes, arrays) and execute
the underlying computations on a Ray cluster. Using this Dask scheduler, the
entire Dask ecosystem can be executed on top of Ray.
.. note::
Note that Ray does not currently support object spilling, and hence cannot
process datasets larger than cluster memory. This is a planned feature.
=========
Scheduler
=========
doc/source/oss-users.rst
+14 -15
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@@ -34,21 +34,6 @@ Flambé is a machine learning experimentation framework built to accelerate the
Github: `https://github.com/asappresearch/flambe <https://github.com/asappresearch/flambe>`_
MARS |mars|
-----------
Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. Mars can scale in to a single machine, and scale out to a cluster with thousands of machines.
[`Link to integration <mars-on-ray.html>`__]
Modin |modin|
-------------
Scale your pandas workflows by changing one line of code. Modin transparently distributes the data and computation so that all you need to do is continue using the pandas API as you were before installing Modin.
GitHub: `https://github.com/modin-project/modin <https://github.com/modin-project/modin>`_
Horovod |horovod|
-----------------
@@ -70,6 +55,20 @@ Analytics Zoo seamless scales TensorFlow, Keras and PyTorch to distributed big d
[`Link to integration <https://analytics-zoo.github.io/master/#ProgrammingGuide/rayonspark/>`__]
MARS |mars|
-----------
Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. Mars can scale in to a single machine, and scale out to a cluster with thousands of machines.
[`Link to integration <mars-on-ray.html>`__]
Modin |modin|
-------------
Scale your pandas workflows by changing one line of code. Modin transparently distributes the data and computation so that all you need to do is continue using the pandas API as you were before installing Modin.
GitHub: `https://github.com/modin-project/modin <https://github.com/modin-project/modin>`_
PyCaret |pycaret|
-----------------