MLTransform (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.glue.model.MLTransform

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class MLTransform
extends Object
implements Serializable, Cloneable, StructuredPojo
```
A structure for a machine learning transform.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

MLTransform()

Constructors
Constructor and Description
`MLTransform()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`MLTransform`	`clone()`
`boolean`	`equals(Object obj)`
`Date`	`getCreatedOn()` A timestamp.
`String`	`getDescription()` A user-defined, long-form description text for the machine learning transform.
`EvaluationMetrics`	`getEvaluationMetrics()` An `EvaluationMetrics` object.
`String`	`getGlueVersion()` This value determines which version of Glue this machine learning transform is compatible with.
`List<GlueTable>`	`getInputRecordTables()` A list of Glue table definitions used by the transform.
`Integer`	`getLabelCount()` A count identifier for the labeling files generated by Glue for this transform.
`Date`	`getLastModifiedOn()` A timestamp.
`Double`	`getMaxCapacity()` The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
`Integer`	`getMaxRetries()` The maximum number of times to retry after an `MLTaskRun` of the machine learning transform fails.
`String`	`getName()` A user-defined name for the machine learning transform.
`Integer`	`getNumberOfWorkers()` The number of workers of a defined `workerType` that are allocated when a task of the transform runs.
`TransformParameters`	`getParameters()` A `TransformParameters` object.
`String`	`getRole()` The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
`List<SchemaColumn>`	`getSchema()` A map of key-value pairs representing the columns and data types that this transform can run against.
`String`	`getStatus()` The current status of the machine learning transform.
`Integer`	`getTimeout()` The timeout in minutes of the machine learning transform.
`TransformEncryption`	`getTransformEncryption()` The encryption-at-rest settings of the transform that apply to accessing user data.
`String`	`getTransformId()` The unique transform ID that is generated for the machine learning transform.
`String`	`getWorkerType()` The type of predefined worker that is allocated when a task of this transform runs.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setCreatedOn(Date createdOn)` A timestamp.
`void`	`setDescription(String description)` A user-defined, long-form description text for the machine learning transform.
`void`	`setEvaluationMetrics(EvaluationMetrics evaluationMetrics)` An `EvaluationMetrics` object.
`void`	`setGlueVersion(String glueVersion)` This value determines which version of Glue this machine learning transform is compatible with.
`void`	`setInputRecordTables(Collection<GlueTable> inputRecordTables)` A list of Glue table definitions used by the transform.
`void`	`setLabelCount(Integer labelCount)` A count identifier for the labeling files generated by Glue for this transform.
`void`	`setLastModifiedOn(Date lastModifiedOn)` A timestamp.
`void`	`setMaxCapacity(Double maxCapacity)` The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
`void`	`setMaxRetries(Integer maxRetries)` The maximum number of times to retry after an `MLTaskRun` of the machine learning transform fails.
`void`	`setName(String name)` A user-defined name for the machine learning transform.
`void`	`setNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `workerType` that are allocated when a task of the transform runs.
`void`	`setParameters(TransformParameters parameters)` A `TransformParameters` object.
`void`	`setRole(String role)` The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
`void`	`setSchema(Collection<SchemaColumn> schema)` A map of key-value pairs representing the columns and data types that this transform can run against.
`void`	`setStatus(String status)` The current status of the machine learning transform.
`void`	`setTimeout(Integer timeout)` The timeout in minutes of the machine learning transform.
`void`	`setTransformEncryption(TransformEncryption transformEncryption)` The encryption-at-rest settings of the transform that apply to accessing user data.
`void`	`setTransformId(String transformId)` The unique transform ID that is generated for the machine learning transform.
`void`	`setWorkerType(String workerType)` The type of predefined worker that is allocated when a task of this transform runs.
`String`	`toString()` Returns a string representation of this object.
`MLTransform`	`withCreatedOn(Date createdOn)` A timestamp.
`MLTransform`	`withDescription(String description)` A user-defined, long-form description text for the machine learning transform.
`MLTransform`	`withEvaluationMetrics(EvaluationMetrics evaluationMetrics)` An `EvaluationMetrics` object.
`MLTransform`	`withGlueVersion(String glueVersion)` This value determines which version of Glue this machine learning transform is compatible with.
`MLTransform`	`withInputRecordTables(Collection<GlueTable> inputRecordTables)` A list of Glue table definitions used by the transform.
`MLTransform`	`withInputRecordTables(GlueTable... inputRecordTables)` A list of Glue table definitions used by the transform.
`MLTransform`	`withLabelCount(Integer labelCount)` A count identifier for the labeling files generated by Glue for this transform.
`MLTransform`	`withLastModifiedOn(Date lastModifiedOn)` A timestamp.
`MLTransform`	`withMaxCapacity(Double maxCapacity)` The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
`MLTransform`	`withMaxRetries(Integer maxRetries)` The maximum number of times to retry after an `MLTaskRun` of the machine learning transform fails.
`MLTransform`	`withName(String name)` A user-defined name for the machine learning transform.
`MLTransform`	`withNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `workerType` that are allocated when a task of the transform runs.
`MLTransform`	`withParameters(TransformParameters parameters)` A `TransformParameters` object.
`MLTransform`	`withRole(String role)` The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
`MLTransform`	`withSchema(Collection<SchemaColumn> schema)` A map of key-value pairs representing the columns and data types that this transform can run against.
`MLTransform`	`withSchema(SchemaColumn... schema)` A map of key-value pairs representing the columns and data types that this transform can run against.
`MLTransform`	`withStatus(String status)` The current status of the machine learning transform.
`MLTransform`	`withStatus(TransformStatusType status)` The current status of the machine learning transform.
`MLTransform`	`withTimeout(Integer timeout)` The timeout in minutes of the machine learning transform.
`MLTransform`	`withTransformEncryption(TransformEncryption transformEncryption)` The encryption-at-rest settings of the transform that apply to accessing user data.
`MLTransform`	`withTransformId(String transformId)` The unique transform ID that is generated for the machine learning transform.
`MLTransform`	`withWorkerType(String workerType)` The type of predefined worker that is allocated when a task of this transform runs.
`MLTransform`	`withWorkerType(WorkerType workerType)` The type of predefined worker that is allocated when a task of this transform runs.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - MLTransform
```
public MLTransform()
```
- Method Detail
  - setTransformId
```
public void setTransformId(String transformId)
```
    The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
    
    Parameters:
    
    transformId - The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
  - getTransformId
```
public String getTransformId()
```
    The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
    
    Returns:
    
    The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
  - withTransformId
```
public MLTransform withTransformId(String transformId)
```
    The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
    
    Parameters:
    
    transformId - The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setName
```
public void setName(String name)
```
    A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
    
    Parameters:
    
    name - A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
  - getName
```
public String getName()
```
    A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
    
    Returns:
    
    A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
  - withName
```
public MLTransform withName(String name)
```
    A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
    
    Parameters:
    
    name - A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDescription
```
public void setDescription(String description)
```
    A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
    
    Parameters:
    
    description - A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
  - getDescription
```
public String getDescription()
```
    A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
    
    Returns:
    
    A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
  - withDescription
```
public MLTransform withDescription(String description)
```
    A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
    
    Parameters:
    
    description - A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStatus
```
public void setStatus(String status)
```
    The current status of the machine learning transform.
    
    Parameters:
    
    status - The current status of the machine learning transform.
    
    See Also:
    
    TransformStatusType
  - getStatus
```
public String getStatus()
```
    The current status of the machine learning transform.
    
    Returns:
    
    The current status of the machine learning transform.
    
    See Also:
    
    TransformStatusType
  - withStatus
```
public MLTransform withStatus(String status)
```
    The current status of the machine learning transform.
    
    Parameters:
    
    status - The current status of the machine learning transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformStatusType
  - withStatus
```
public MLTransform withStatus(TransformStatusType status)
```
    The current status of the machine learning transform.
    
    Parameters:
    
    status - The current status of the machine learning transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformStatusType
  - setCreatedOn
```
public void setCreatedOn(Date createdOn)
```
    A timestamp. The time and date that this machine learning transform was created.
    
    Parameters:
    
    createdOn - A timestamp. The time and date that this machine learning transform was created.
  - getCreatedOn
```
public Date getCreatedOn()
```
    A timestamp. The time and date that this machine learning transform was created.
    
    Returns:
    
    A timestamp. The time and date that this machine learning transform was created.
  - withCreatedOn
```
public MLTransform withCreatedOn(Date createdOn)
```
    A timestamp. The time and date that this machine learning transform was created.
    
    Parameters:
    
    createdOn - A timestamp. The time and date that this machine learning transform was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedOn
```
public void setLastModifiedOn(Date lastModifiedOn)
```
    A timestamp. The last point in time when this machine learning transform was modified.
    
    Parameters:
    
    lastModifiedOn - A timestamp. The last point in time when this machine learning transform was modified.
  - getLastModifiedOn
```
public Date getLastModifiedOn()
```
    A timestamp. The last point in time when this machine learning transform was modified.
    
    Returns:
    
    A timestamp. The last point in time when this machine learning transform was modified.
  - withLastModifiedOn
```
public MLTransform withLastModifiedOn(Date lastModifiedOn)
```
    A timestamp. The last point in time when this machine learning transform was modified.
    
    Parameters:
    
    lastModifiedOn - A timestamp. The last point in time when this machine learning transform was modified.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getInputRecordTables
```
public List<GlueTable> getInputRecordTables()
```
    A list of Glue table definitions used by the transform.
    
    Returns:
    
    A list of Glue table definitions used by the transform.
  - setInputRecordTables
```
public void setInputRecordTables(Collection<GlueTable> inputRecordTables)
```
    A list of Glue table definitions used by the transform.
    
    Parameters:
    
    inputRecordTables - A list of Glue table definitions used by the transform.
  - withInputRecordTables
```
public MLTransform withInputRecordTables(GlueTable... inputRecordTables)
```
    A list of Glue table definitions used by the transform.
    
    NOTE: This method appends the values to the existing list (if any). Use setInputRecordTables(java.util.Collection) or withInputRecordTables(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    inputRecordTables - A list of Glue table definitions used by the transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withInputRecordTables
```
public MLTransform withInputRecordTables(Collection<GlueTable> inputRecordTables)
```
    A list of Glue table definitions used by the transform.
    
    Parameters:
    
    inputRecordTables - A list of Glue table definitions used by the transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setParameters
```
public void setParameters(TransformParameters parameters)
```
    A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
    
    Parameters:
    
    parameters - A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
  - getParameters
```
public TransformParameters getParameters()
```
    A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
    
    Returns:
    
    A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
  - withParameters
```
public MLTransform withParameters(TransformParameters parameters)
```
    A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
    
    Parameters:
    
    parameters - A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEvaluationMetrics
```
public void setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
```
    An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
    
    Parameters:
    
    evaluationMetrics - An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
  - getEvaluationMetrics
```
public EvaluationMetrics getEvaluationMetrics()
```
    An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
    
    Returns:
    
    An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
  - withEvaluationMetrics
```
public MLTransform withEvaluationMetrics(EvaluationMetrics evaluationMetrics)
```
    An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
    
    Parameters:
    
    evaluationMetrics - An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLabelCount
```
public void setLabelCount(Integer labelCount)
```
    A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
    
    Parameters:
    
    labelCount - A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
  - getLabelCount
```
public Integer getLabelCount()
```
    A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
    
    Returns:
    
    A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
  - withLabelCount
```
public MLTransform withLabelCount(Integer labelCount)
```
    A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
    
    Parameters:
    
    labelCount - A count identifier for the labeling files generated by Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getSchema
```
public List<SchemaColumn> getSchema()
```
    A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    Returns:
    
    A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
  - setSchema
```
public void setSchema(Collection<SchemaColumn> schema)
```
    A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    Parameters:
    
    schema - A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
  - withSchema
```
public MLTransform withSchema(SchemaColumn... schema)
```
    A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    NOTE: This method appends the values to the existing list (if any). Use setSchema(java.util.Collection) or withSchema(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    schema - A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withSchema
```
public MLTransform withSchema(Collection<SchemaColumn> schema)
```
    A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    Parameters:
    
    schema - A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRole
```
public void setRole(String role)
```
    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.
    Parameters:
    role - 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.
  - getRole
```
public String getRole()
```
    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.
    Returns:
    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.
  - withRole
```
public MLTransform withRole(String role)
```
    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.
    Parameters:
    role - 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.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setGlueVersion
```
public void setGlueVersion(String glueVersion)
```
    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.
    
    Parameters:
    
    glueVersion - 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.
  - getGlueVersion
```
public String getGlueVersion()
```
    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.
    
    Returns:
    
    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.
  - withGlueVersion
```
public MLTransform withGlueVersion(String glueVersion)
```
    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.
    
    Parameters:
    
    glueVersion - 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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxCapacity
```
public void setMaxCapacity(Double maxCapacity)
```
    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.
    Parameters:
    maxCapacity - 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.
  - getMaxCapacity
```
public Double getMaxCapacity()
```
    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.
    Returns:
    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.
  - withMaxCapacity
```
public MLTransform withMaxCapacity(Double maxCapacity)
```
    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.
    Parameters:
    maxCapacity - 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.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setWorkerType
```
public void setWorkerType(String 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.
    Parameters:
    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.
    See Also:
    
    WorkerType
  - getWorkerType
```
public String getWorkerType()
```
    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.
    Returns:
    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.
    See Also:
    
    WorkerType
  - withWorkerType
```
public MLTransform withWorkerType(String 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.
    Parameters:
    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.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - withWorkerType
```
public MLTransform withWorkerType(WorkerType 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.
    Parameters:
    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.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - setNumberOfWorkers
```
public void setNumberOfWorkers(Integer 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).
    
    Parameters:
    
    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).
  - getNumberOfWorkers
```
public Integer getNumberOfWorkers()
```
    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).
    
    Returns:
    
    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).
  - withNumberOfWorkers
```
public MLTransform withNumberOfWorkers(Integer 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).
    
    Parameters:
    
    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).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTimeout
```
public void setTimeout(Integer timeout)
```
    The timeout in minutes of the machine learning transform.
    
    Parameters:
    
    timeout - The timeout in minutes of the machine learning transform.
  - getTimeout
```
public Integer getTimeout()
```
    The timeout in minutes of the machine learning transform.
    
    Returns:
    
    The timeout in minutes of the machine learning transform.
  - withTimeout
```
public MLTransform withTimeout(Integer timeout)
```
    The timeout in minutes of the machine learning transform.
    
    Parameters:
    
    timeout - The timeout in minutes of the machine learning transform.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxRetries
```
public void setMaxRetries(Integer maxRetries)
```
    The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
    
    Parameters:
    
    maxRetries - The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
  - getMaxRetries
```
public Integer getMaxRetries()
```
    The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
    
    Returns:
    
    The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
  - withMaxRetries
```
public MLTransform withMaxRetries(Integer maxRetries)
```
    The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
    
    Parameters:
    
    maxRetries - The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformEncryption
```
public void setTransformEncryption(TransformEncryption transformEncryption)
```
    The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
    
    Parameters:
    
    transformEncryption - The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
  - getTransformEncryption
```
public TransformEncryption getTransformEncryption()
```
    The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
    
    Returns:
    
    The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
  - withTransformEncryption
```
public MLTransform withTransformEncryption(TransformEncryption transformEncryption)
```
    The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
    
    Parameters:
    
    transformEncryption - The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public MLTransform clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.778

Class MLTransform

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

MLTransform

Method Detail

setTransformId

getTransformId

withTransformId

setName

getName

withName

setDescription

getDescription

withDescription

setStatus

getStatus

withStatus

withStatus

setCreatedOn

getCreatedOn

withCreatedOn

setLastModifiedOn

getLastModifiedOn

withLastModifiedOn

getInputRecordTables

setInputRecordTables

withInputRecordTables

withInputRecordTables

setParameters

getParameters

withParameters

setEvaluationMetrics

getEvaluationMetrics

withEvaluationMetrics

setLabelCount

getLabelCount

withLabelCount

getSchema

setSchema

withSchema

withSchema

setRole

getRole

withRole

setGlueVersion

getGlueVersion

withGlueVersion

setMaxCapacity

getMaxCapacity

withMaxCapacity

setWorkerType

getWorkerType

withWorkerType

withWorkerType

setNumberOfWorkers

getNumberOfWorkers

withNumberOfWorkers

setTimeout

getTimeout

withTimeout

setMaxRetries

getMaxRetries

withMaxRetries

setTransformEncryption

getTransformEncryption

withTransformEncryption

toString

equals

hashCode

clone

marshall