New-VSGlueMLTransform

SYNOPSIS

Adds an AWS::Glue::MLTransform resource to the template. The AWS::Glue::MLTransform is an AWS Glue resource type that manages machine learning transforms.

SYNTAX

New-VSGlueMLTransform [-LogicalId] <String> -Role <Object> [-MaxRetries <Object>] [-WorkerType <Object>]
 [-Description <Object>] [-Timeout <Object>] [-GlueVersion <Object>] -TransformParameters <Object>
 -InputRecordTables <Object> [-NumberOfWorkers <Object>] [-Tags <Object>] [-Name <Object>]
 [-MaxCapacity <Object>] [-DeletionPolicy <String>] [-UpdateReplacePolicy <String>] [-DependsOn <String[]>]
 [-Metadata <Object>] [-UpdatePolicy <Object>] [-Condition <Object>] [<CommonParameters>]

DESCRIPTION

Adds an AWS::Glue::MLTransform resource to the template. The AWS::Glue::MLTransform is an AWS Glue resource type that manages machine learning transforms.

PARAMETERS

-LogicalId

The logical ID must be alphanumeric (A-Za-z0-9) and unique within the template. Use the logical name to reference the resource in other parts of the template. For example, if you want to map an Amazon Elastic Block Store volume to an Amazon EC2 instance, you reference the logical IDs to associate the block stores with the instance.

Type: String
Parameter Sets: (All)
Aliases:

Required: True
Position: 1
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Role

The name or Amazon Resource Name ARN of the IAM role with the required permissions. The required permissions include both AWS Glue service role permissions to AWS Glue resources, and Amazon S3 permissions required by the transform.

This role needs AWS Glue service role permissions to allow access to resources in AWS Glue. See Attach a Policy to IAM Users That Access AWS Glue: https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html.
This role needs permission to your Amazon Simple Storage Service Amazon S3 sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-role PrimitiveType: String UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: True
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-MaxRetries

The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxretries PrimitiveType: Integer UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-WorkerType

The type of predefined worker that is allocated when a task of this transform runs. Accepts a value of Standard, G.1X, or G.2X.

For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.
For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker. MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.
If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
If WorkerType is set, then NumberOfWorkers is required and vice versa.
MaxCapacity and NumberOfWorkers must both be at least 1.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-workertype PrimitiveType: String UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Description

A user-defined, long-form description text for the machine learning transform.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-description PrimitiveType: String UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Timeout

The timeout in minutes of the machine learning transform.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-timeout PrimitiveType: Integer UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-GlueVersion

This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see AWS Glue Versions: https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions in the developer guide.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-glueversion PrimitiveType: String UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-TransformParameters

The algorithm-specific parameters that are associated with the machine learning transform.

Type: TransformParameters Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-transformparameters UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: True
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-InputRecordTables

A list of AWS Glue table definitions used by the transform.

Type: InputRecordTables Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-inputrecordtables UpdateType: Immutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: True
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-NumberOfWorkers

The number of workers of a defined workerType that are allocated when a task of the transform runs. If WorkerType is set, then NumberOfWorkers is required and vice versa.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-numberofworkers PrimitiveType: Integer UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Tags

The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in AWS Glue, see AWS Tags in AWS Glue: https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html in the developer guide.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-tags PrimitiveType: Json UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Name

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-name PrimitiveType: String UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-MaxCapacity

The number of AWS Glue data processing units DPUs that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page: http://aws.amazon.com/glue/pricing/. MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
If WorkerType is set, then NumberOfWorkers is required and vice versa.
MaxCapacity and NumberOfWorkers must both be at least 1. When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

Documentation: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html#cfn-glue-mltransform-maxcapacity PrimitiveType: Double UpdateType: Mutable

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-DeletionPolicy

With the DeletionPolicy attribute you can preserve or (in some cases) backup a resource when its stack is deleted. You specify a DeletionPolicy attribute for each resource that you want to control. If a resource has no DeletionPolicy attribute, AWS CloudFormation deletes the resource by default.

To keep a resource when its stack is deleted, specify Retain for that resource. You can use retain for any resource. For example, you can retain a nested stack, S3 bucket, or EC2 instance so that you can continue to use or modify those resources after you delete their stacks.

You must use one of the following options: “Delete”,”Retain”,”Snapshot”

Type: String
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-UpdateReplacePolicy

Use the UpdateReplacePolicy attribute to retain or (in some cases) backup the existing physical instance of a resource when it is replaced during a stack update operation.

When you initiate a stack update, AWS CloudFormation updates resources based on differences between what you submit and the stack’s current template and parameters. If you update a resource property that requires that the resource be replaced, AWS CloudFormation recreates the resource during the update. Recreating the resource generates a new physical ID. AWS CloudFormation creates the replacement resource first, and then changes references from other dependent resources to point to the replacement resource. By default, AWS CloudFormation then deletes the old resource. Using the UpdateReplacePolicy, you can specify that AWS CloudFormation retain or (in some cases) create a snapshot of the old resource.

For resources that support snapshots, such as AWS::EC2::Volume, specify Snapshot to have AWS CloudFormation create a snapshot before deleting the old resource instance.

You can apply the UpdateReplacePolicy attribute to any resource. UpdateReplacePolicy is only executed if you update a resource property whose update behavior is specified as Replacement, thereby causing AWS CloudFormation to replace the old resource with a new one with a new physical ID. For example, if you update the Engine property of an AWS::RDS::DBInstance resource type, AWS CloudFormation creates a new resource and replaces the current DB instance resource with the new one. The UpdateReplacePolicy attribute would then dictate whether AWS CloudFormation deleted, retained, or created a snapshot of the old DB instance. The update behavior for each property of a resource is specified in the reference topic for that resource in the AWS Resource and Property Types Reference. For more information on resource update behavior, see Update Behaviors of Stack Resources.

The UpdateReplacePolicy attribute applies to stack updates you perform directly, as well as stack updates performed using change sets.

Note Resources that are retained continue to exist and continue to incur applicable charges until you delete those resources. Snapshots that are created with this policy continue to exist and continue to incur applicable charges until you delete those snapshots. UpdateReplacePolicy retains the old physical resource or snapshot, but removes it from AWS CloudFormation’s scope.

UpdateReplacePolicy differs from the DeletionPolicy attribute in that it only applies to resources replaced during stack updates. Use DeletionPolicy for resources deleted when a stack is deleted, or when the resource definition itself is deleted from the template as part of a stack update.

You must use one of the following options: “Delete”,”Retain”,”Snapshot”

Type: String
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-DependsOn

With the DependsOn attribute you can specify that the creation of a specific resource follows another. When you add a DependsOn attribute to a resource, that resource is created only after the creation of the resource specified in the DependsOn attribute.

This parameter takes a string or list of strings representing Logical IDs of resources that must be created prior to this resource being created.

Type: String[]
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Metadata

The Metadata attribute enables you to associate structured data with a resource. By adding a Metadata attribute to a resource, you can add data in JSON or YAML to the resource declaration. In addition, you can use intrinsic functions (such as GetAtt and Ref), parameters, and pseudo parameters within the Metadata attribute to add those interpreted values.

You must use a PSCustomObject containing key/value pairs here. This will be returned when describing the resource using AWS CLI.

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-UpdatePolicy

Use the UpdatePolicy attribute to specify how AWS CloudFormation handles updates to the AWS::AutoScaling::AutoScalingGroup resource. AWS CloudFormation invokes one of three update policies depending on the type of change you make or whether a scheduled action is associated with the Auto Scaling group.

You must use the “Add-UpdatePolicy” function here.

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

-Condition

Logical ID of the condition that this resource needs to be true in order for this resource to be provisioned.

Type: Object
Parameter Sets: (All)
Aliases:

Required: False
Position: Named
Default value: None
Accept pipeline input: False
Accept wildcard characters: False

CommonParameters

This cmdlet supports the common parameters: -Debug, -ErrorAction, -ErrorVariable, -InformationAction, -InformationVariable, -OutVariable, -OutBuffer, -PipelineVariable, -Verbose, -WarningAction, and -WarningVariable. For more information, see about_CommonParameters.

INPUTS

OUTPUTS

Vaporshell.Resource.Glue.MLTransform

NOTES

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-mltransform.html