Package | Description |
---|---|
com.amazonaws.services.glue |
|
com.amazonaws.services.glue.model |
Modifier and Type | Method and Description |
---|---|
Future<CreateMLTransformResult> |
AWSGlueAsync.createMLTransformAsync(CreateMLTransformRequest createMLTransformRequest,
AsyncHandler<CreateMLTransformRequest,CreateMLTransformResult> asyncHandler)
Creates an AWS Glue machine learning transform.
|
Future<CreateMLTransformResult> |
AWSGlueAsyncClient.createMLTransformAsync(CreateMLTransformRequest request,
AsyncHandler<CreateMLTransformRequest,CreateMLTransformResult> asyncHandler) |
Future<CreateMLTransformResult> |
AbstractAWSGlueAsync.createMLTransformAsync(CreateMLTransformRequest request,
AsyncHandler<CreateMLTransformRequest,CreateMLTransformResult> asyncHandler) |
Modifier and Type | Method and Description |
---|---|
CreateMLTransformRequest |
CreateMLTransformRequest.addTagsEntry(String key,
String value)
Add a single Tags entry
|
CreateMLTransformRequest |
CreateMLTransformRequest.clearTagsEntries()
Removes all the entries added into Tags.
|
CreateMLTransformRequest |
CreateMLTransformRequest.clone() |
CreateMLTransformRequest |
CreateMLTransformRequest.withDescription(String description)
A description of the machine learning transform that is being defined.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withGlueVersion(String glueVersion)
This value determines which version of AWS Glue this machine learning transform is compatible with.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withInputRecordTables(Collection<GlueTable> inputRecordTables)
A list of AWS Glue table definitions used by the transform.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withInputRecordTables(GlueTable... inputRecordTables)
A list of AWS Glue table definitions used by the transform.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withMaxCapacity(Double maxCapacity)
The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withMaxRetries(Integer maxRetries)
The maximum number of times to retry a task for this transform after a task run fails.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withName(String name)
The unique name that you give the transform when you create it.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withNumberOfWorkers(Integer numberOfWorkers)
The number of workers of a defined
workerType that are allocated when this task runs. |
CreateMLTransformRequest |
CreateMLTransformRequest.withParameters(TransformParameters parameters)
The algorithmic parameters that are specific to the transform type used.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withRole(String role)
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withTags(Map<String,String> tags)
The tags to use with this machine learning transform.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withTimeout(Integer timeout)
The timeout of the task run for this transform in minutes.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withTransformEncryption(TransformEncryption transformEncryption)
The encryption-at-rest settings of the transform that apply to accessing user data.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withWorkerType(String workerType)
The type of predefined worker that is allocated when this task runs.
|
CreateMLTransformRequest |
CreateMLTransformRequest.withWorkerType(WorkerType workerType)
The type of predefined worker that is allocated when this task runs.
|
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