Amazon.PowerShell.Cmdlets.GLUE.AmazonGlueClientCmdlet.ClientConfig
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
A description of the machine learning transform that is being defined. The default is an empty string.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-FindMatchesParameters_AccuracyCostTradeoff <
Double>
The value that is selected when tuning your transform for a balance between accuracy and cost. A value of 0.5 means that the system balances accuracy and cost concerns. A value of 1.0 means a bias purely for accuracy, which typically results in a higher cost, sometimes substantially higher. A value of 0.0 means a bias purely for cost, which results in a less accurate FindMatches transform, sometimes with unacceptable accuracy.Accuracy measures how well the transform finds true positives and true negatives. Increasing accuracy requires more machine resources and cost. But it also results in increased recall. Cost measures how many compute resources, and thus money, are consumed to run the transform.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Parameters_FindMatchesParameters_AccuracyCostTradeoff |
-FindMatchesParameters_EnforceProvidedLabel <
Boolean>
The value to switch on or off to force the output to match the provided labels from users. If the value is True, the find matches transform forces the output to match the provided labels. The results override the normal conflation results. If the value is False, the find matches transform does not ensure all the labels provided are respected, and the results rely on the trained model.Note that setting this value to true may increase the conflation execution time.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Parameters_FindMatchesParameters_EnforceProvidedLabels |
-FindMatchesParameters_PrecisionRecallTradeoff <
Double>
The value selected when tuning your transform for a balance between precision and recall. A value of 0.5 means no preference; a value of 1.0 means a bias purely for precision, and a value of 0.0 means a bias for recall. Because this is a tradeoff, choosing values close to 1.0 means very low recall, and choosing values close to 0.0 results in very low precision.The precision metric indicates how often your model is correct when it predicts a match. The recall metric indicates that for an actual match, how often your model predicts the match.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Parameters_FindMatchesParameters_PrecisionRecallTradeoff |
-FindMatchesParameters_PrimaryKeyColumnName <
String>
The name of a column that uniquely identifies rows in the source table. Used to help identify matching records.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Parameters_FindMatchesParameters_PrimaryKeyColumnName |
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
This value determines which version of 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
Glue Versions in the developer guide.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
A list of Glue table definitions used by the transform.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputRecordTables |
The number of 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
Glue pricing page.
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.When the
WorkerType field is set to a value other than
Standard, the
MaxCapacity field is set automatically and becomes read-only.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The maximum number of times to retry a task for this transform after a task run fails.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | MaxRetries |
-MlUserDataEncryption_KmsKeyId <
String>
The ID for the customer-provided KMS key.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | TransformEncryption_MlUserDataEncryption_KmsKeyId |
The encryption mode applied to user data. Valid values are:
- DISABLED: encryption is disabled
- SSEKMS: use of server-side encryption with Key Management Service (SSE-KMS) for user data stored in Amazon S3.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | TransformEncryption_MlUserDataEncryption_MlUserDataEncryptionMode |
The unique name that you give the transform when you create it.
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
The number of workers of a defined workerType that are allocated when this task runs.If WorkerType is set, then NumberOfWorkers is required (and vice versa).
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | NumberOfWorkers |
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Changes the cmdlet behavior to return the value passed to the Name parameter. The -PassThru parameter is deprecated, use -Select '^Name' instead. This parameter will be removed in a future version.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.
- This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
- 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.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Use the -Select parameter to control the cmdlet output. The default value is 'TransformId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.Glue.Model.CreateMLTransformResponse). Specifying the name of a property of type Amazon.Glue.Model.CreateMLTransformResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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 Glue, see
Amazon Web Services Tags in Glue in the developer guide.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |
The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-TransformEncryption_TaskRunSecurityConfigurationName <
String>
The name of the security configuration.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The type of predefined worker that is allocated when this task 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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |