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Merge branch 'master' into 2PR
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doc/api/prep_data/feature_store.rst

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:members:
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:show-inheritance:
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Inputs
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******
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:members:
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:show-inheritance:
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.. autoclass:: sagemaker.feature_store.feature_processor.PySparkDataSource
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:members:
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:show-inheritance:
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Feature Processor Scheduler
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***************************
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Feature Processor Scheduler and Triggers
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****************************************
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.. automethod:: sagemaker.feature_store.feature_processor.to_pipeline
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.. automethod:: sagemaker.feature_store.feature_processor.describe
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.. automethod:: sagemaker.feature_store.feature_processor.list_pipelines
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.. automethod:: sagemaker.feature_store.feature_processor.put_trigger
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.. automethod:: sagemaker.feature_store.feature_processor.enable_trigger
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.. automethod:: sagemaker.feature_store.feature_processor.disable_trigger
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.. automethod:: sagemaker.feature_store.feature_processor.delete_trigger
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src/sagemaker/remote_function/client.py

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encrypt_inter_container_traffic (bool): A flag that specifies whether traffic between
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training containers is encrypted for the training job. Defaults to ``False``.
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enable_network_isolation (bool): A flag that specifies whether container will run in
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network isolation mode. Defaults to ``False``. Network isolation mode restricts the
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container access to outside networks (such as the Internet). The container does not
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make any inbound or outbound network calls. Also known as Internet-free mode.
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spark_config (SparkConfig): Configurations to the Spark application that runs on
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Spark image. If ``spark_config`` is specified, a SageMaker Spark image uri
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will be used for training. Note that ``image_uri`` can not be specified at the

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