MonitoringClusterConfig ¶

class MonitoringClusterConfig(TypedDict, closed=True):
    instance_count: NotRequired[
        "capo_sagemaker.types.processing_instance_count.ProcessingInstanceCount"
    ]
    """<p>The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.</p>"""
    instance_type: NotRequired[
        "capo_sagemaker.types.processing_instance_type.ProcessingInstanceType"
    ]
    """<p>The ML compute instance type for the processing job.</p>"""
    volume_size_in_gb: NotRequired[
        "capo_sagemaker.types.processing_volume_size_in_gb.ProcessingVolumeSizeInGB"
    ]
    """<p>The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.</p>"""
    volume_kms_key_id: NotRequired["capo_sagemaker.types.kms_key_id.KmsKeyId"]
    """<p>The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.</p>"""