From 3b4628cae886ba0132a04fc4642b23b96e8cf069 Mon Sep 17 00:00:00 2001 From: Eric Liang Date: Tue, 15 Sep 2020 17:26:09 -0700 Subject: [PATCH] [docs] Sort library list alphabetically and add experimental note to Dask (#10815) * sort * update * update --- doc/source/dask-on-ray.rst | 5 +++++ doc/source/oss-users.rst | 29 ++++++++++++++--------------- 2 files changed, 19 insertions(+), 15 deletions(-) diff --git a/doc/source/dask-on-ray.rst b/doc/source/dask-on-ray.rst index e27f1cb6b..b5383ac8b 100644 --- a/doc/source/dask-on-ray.rst +++ b/doc/source/dask-on-ray.rst @@ -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 ========= diff --git a/doc/source/oss-users.rst b/doc/source/oss-users.rst index 032018596..028d7f7a7 100644 --- a/doc/source/oss-users.rst +++ b/doc/source/oss-users.rst @@ -34,21 +34,6 @@ Flambé is a machine learning experimentation framework built to accelerate the Github: `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 `__] - -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 `_ - Horovod |horovod| ----------------- @@ -70,6 +55,20 @@ Analytics Zoo seamless scales TensorFlow, Keras and PyTorch to distributed big d [`Link to integration `__] +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 `__] + +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 `_ + PyCaret |pycaret| -----------------