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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.
com.amazonaws.services.sagemaker.model

Class ProcessingClusterConfig

    • Constructor Detail

      • ProcessingClusterConfig

        public ProcessingClusterConfig()
    • Method Detail

      • setInstanceCount

        public void setInstanceCount(Integer instanceCount)

        The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

        Parameters:
        instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
      • getInstanceCount

        public Integer getInstanceCount()

        The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

        Returns:
        The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
      • withInstanceCount

        public ProcessingClusterConfig withInstanceCount(Integer instanceCount)

        The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

        Parameters:
        instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setInstanceType

        public void setInstanceType(String instanceType)

        The ML compute instance type for the processing job.

        Parameters:
        instanceType - The ML compute instance type for the processing job.
        See Also:
        ProcessingInstanceType
      • getInstanceType

        public String getInstanceType()

        The ML compute instance type for the processing job.

        Returns:
        The ML compute instance type for the processing job.
        See Also:
        ProcessingInstanceType
      • withInstanceType

        public ProcessingClusterConfig withInstanceType(String instanceType)

        The ML compute instance type for the processing job.

        Parameters:
        instanceType - The ML compute instance type for the processing job.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProcessingInstanceType
      • withInstanceType

        public ProcessingClusterConfig withInstanceType(ProcessingInstanceType instanceType)

        The ML compute instance type for the processing job.

        Parameters:
        instanceType - The ML compute instance type for the processing job.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProcessingInstanceType
      • setVolumeSizeInGB

        public void setVolumeSizeInGB(Integer volumeSizeInGB)

        The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

        Parameters:
        volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

      • getVolumeSizeInGB

        public Integer getVolumeSizeInGB()

        The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

        Returns:
        The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

      • withVolumeSizeInGB

        public ProcessingClusterConfig withVolumeSizeInGB(Integer volumeSizeInGB)

        The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

        Parameters:
        volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

        Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

        For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setVolumeKmsKeyId

        public void setVolumeKmsKeyId(String volumeKmsKeyId)

        The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

        Parameters:
        volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

      • getVolumeKmsKeyId

        public String getVolumeKmsKeyId()

        The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

        Returns:
        The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

      • withVolumeKmsKeyId

        public ProcessingClusterConfig withVolumeKmsKeyId(String volumeKmsKeyId)

        The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

        Parameters:
        volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

        Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

        For a list of instance types that support local instance storage, see Instance Store Volumes.

        For more information about local instance storage encryption, see SSD Instance Store Volumes.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • toString

        public String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object
        Returns:
        A string representation of this object.
        See Also:
        Object.toString()
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