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CfnDataQualityJobDefinition_ClusterConfigProperty.go
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CfnDataQualityJobDefinition_ClusterConfigProperty.go
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package awssagemaker
// The configuration for the cluster of resources used to run the processing job.
//
// Example:
// // The code below shows an example of how to instantiate this type.
// // The values are placeholders you should change.
// import "github.com/aws/aws-cdk-go/awscdk"
//
// clusterConfigProperty := &ClusterConfigProperty{
// InstanceCount: jsii.Number(123),
// InstanceType: jsii.String("instanceType"),
// VolumeSizeInGb: jsii.Number(123),
//
// // the properties below are optional
// VolumeKmsKeyId: jsii.String("volumeKmsKeyId"),
// }
//
// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html
//
type CfnDataQualityJobDefinition_ClusterConfigProperty struct {
// 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.
// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-instancecount
//
InstanceCount *float64 `field:"required" json:"instanceCount" yaml:"instanceCount"`
// The ML compute instance type for the processing job.
// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-instancetype
//
InstanceType *string `field:"required" json:"instanceType" yaml:"instanceType"`
// The size of the ML storage volume, in gigabytes, that you want to provision.
//
// You must specify sufficient ML storage for your scenario.
// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-volumesizeingb
//
VolumeSizeInGb *float64 `field:"required" json:"volumeSizeInGb" yaml:"volumeSizeInGb"`
// 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.
// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-clusterconfig.html#cfn-sagemaker-dataqualityjobdefinition-clusterconfig-volumekmskeyid
//
VolumeKmsKeyId *string `field:"optional" json:"volumeKmsKeyId" yaml:"volumeKmsKeyId"`
}