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Spark
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Using Amazon SageMaker with Apache Spark
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MNIST with SageMaker PySpark:

.. toctree::
   :maxdepth: 1

   pyspark_mnist/pyspark_mnist_kmeans
   pyspark_mnist/pyspark_mnist_custom_estimator
   pyspark_mnist/pyspark_mnist_pca_kmeans
   pyspark_mnist/pyspark_mnist_pca_mllib_kmeans
   pyspark_mnist/pyspark_mnist_xgboost
   ../sagemaker_processing/spark_distributed_data_processing/sagemaker-spark-processing
   ../sagemaker-python-sdk/sparkml_serving_emr_mleap_abalone/sparkml_serving_emr_mleap_abalone

Parameterize spark configuration in pipeline PySparkProcessor execution:

.. toctree::
   :maxdepth: 1

   parameterize-spark-config-pysparkprocessor-pipeline/parameterize-spark-config-pysparkprocessor-pipeline