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[Train] Revise recommendation to use preprocessors (#44099)
#44006 (review) Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
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doc/source/train/user-guides/data-loading-preprocessing.rst

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@@ -510,7 +510,7 @@ Preprocessing structured data
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This section is for tabular/structured data. The recommended way for preprocessing unstructured data is to use
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Ray Data operations such as `map_batches`. See the :ref:`Ray Data Working with Pytorch guide <working_with_pytorch>` for more details.
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For tabular data, we recommend using Ray Data :ref:`preprocessors <preprocessor-ref>`, which implement common data preprocessing operations.
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For tabular data, use Ray Data :ref:`preprocessors <preprocessor-ref>`, which implement common data preprocessing operations.
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You can use this with Ray Train Trainers by applying them on the dataset before passing the dataset into a Trainer. For example:
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.. testcode::

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