Monitoring
data class MonitoringScheduleClusterConfigArgs(val instanceCount: Output<Int>, val instanceType: Output<String>, val volumeKmsKeyId: Output<String>? = null, val volumeSizeInGb: Output<Int>) : ConvertibleToJava<MonitoringScheduleClusterConfigArgs>
Configuration for the cluster used to run model monitoring jobs.
Properties
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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.
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The ML compute instance type for the processing job.
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The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
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The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.