Package | Description |
---|---|
com.amazonaws.services.glue.model |
Modifier and Type | Method and Description |
---|---|
MLTransform |
MLTransform.clone() |
MLTransform |
MLTransform.withCreatedOn(Date createdOn)
A timestamp.
|
MLTransform |
MLTransform.withDescription(String description)
A user-defined, long-form description text for the machine learning transform.
|
MLTransform |
MLTransform.withEvaluationMetrics(EvaluationMetrics evaluationMetrics)
An
EvaluationMetrics object. |
MLTransform |
MLTransform.withGlueVersion(String glueVersion)
This value determines which version of AWS Glue this machine learning transform is compatible with.
|
MLTransform |
MLTransform.withInputRecordTables(Collection<GlueTable> inputRecordTables)
A list of AWS Glue table definitions used by the transform.
|
MLTransform |
MLTransform.withInputRecordTables(GlueTable... inputRecordTables)
A list of AWS Glue table definitions used by the transform.
|
MLTransform |
MLTransform.withLabelCount(Integer labelCount)
A count identifier for the labeling files generated by AWS Glue for this transform.
|
MLTransform |
MLTransform.withLastModifiedOn(Date lastModifiedOn)
A timestamp.
|
MLTransform |
MLTransform.withMaxCapacity(Double maxCapacity)
The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform.
|
MLTransform |
MLTransform.withMaxRetries(Integer maxRetries)
The maximum number of times to retry after an
MLTaskRun of the machine learning transform fails. |
MLTransform |
MLTransform.withName(String name)
A user-defined name for the machine learning transform.
|
MLTransform |
MLTransform.withNumberOfWorkers(Integer numberOfWorkers)
The number of workers of a defined
workerType that are allocated when a task of the transform runs. |
MLTransform |
MLTransform.withParameters(TransformParameters parameters)
A
TransformParameters object. |
MLTransform |
MLTransform.withRole(String role)
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
|
MLTransform |
MLTransform.withSchema(Collection<SchemaColumn> schema)
A map of key-value pairs representing the columns and data types that this transform can run against.
|
MLTransform |
MLTransform.withSchema(SchemaColumn... schema)
A map of key-value pairs representing the columns and data types that this transform can run against.
|
MLTransform |
MLTransform.withStatus(String status)
The current status of the machine learning transform.
|
MLTransform |
MLTransform.withStatus(TransformStatusType status)
The current status of the machine learning transform.
|
MLTransform |
MLTransform.withTimeout(Integer timeout)
The timeout in minutes of the machine learning transform.
|
MLTransform |
MLTransform.withTransformId(String transformId)
The unique transform ID that is generated for the machine learning transform.
|
MLTransform |
MLTransform.withWorkerType(String workerType)
The type of predefined worker that is allocated when a task of this transform runs.
|
MLTransform |
MLTransform.withWorkerType(WorkerType workerType)
The type of predefined worker that is allocated when a task of this transform runs.
|
Modifier and Type | Method and Description |
---|---|
List<MLTransform> |
GetMLTransformsResult.getTransforms()
A list of machine learning transforms.
|
Modifier and Type | Method and Description |
---|---|
GetMLTransformsResult |
GetMLTransformsResult.withTransforms(MLTransform... transforms)
A list of machine learning transforms.
|
Modifier and Type | Method and Description |
---|---|
void |
GetMLTransformsResult.setTransforms(Collection<MLTransform> transforms)
A list of machine learning transforms.
|
GetMLTransformsResult |
GetMLTransformsResult.withTransforms(Collection<MLTransform> transforms)
A list of machine learning transforms.
|
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