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doc: Fix import path of the PySparkProcessor #4981

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doc: Fix import path of the PySparkProcessor #4981

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8ffb575
doc: fix import path
gcbeltramini Dec 27, 2024
c9c8156
doc: fix typo
gcbeltramini Dec 27, 2024
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9 changes: 6 additions & 3 deletions doc/amazon_sagemaker_processing.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -83,7 +83,7 @@ First you need to create a :class:`PySparkProcessor` object

.. code:: python

from sagemaker.processing import PySparkProcessor, ProcessingInput
from sagemaker.spark.processing import PySparkProcessor

spark_processor = PySparkProcessor(
base_job_name="sm-spark",
Expand Down Expand Up @@ -157,11 +157,14 @@ To successfully run the history server, first you need to make sure ``docker`` i
SparkJarProcessor
---------------------

Supposed that you have the jar file "preprocessing.jar" stored in the same directory as you are now, and the java package is ``com.path.to.your.class.PreProcessing.java``
Here's an example of using PySparkProcessor.
Suppose that you have the jar file "preprocessing.jar" stored in the same directory as you are now, and the java package is ``com.path.to.your.class.PreProcessing.java``.

Here's an example of using SparkJarProcessor.

.. code:: python

from sagemaker.spark.processing import SparkJarProcessor

spark = SparkJarProcessor(
base_job_name="sm-spark-java",
image_uri=beta_image_uri,
Expand Down
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