TransformJob (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.sagemaker.model.TransformJob

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class TransformJob
extends Object
implements Serializable, Cloneable, StructuredPojo
```
A batch transform job. For information about SageMaker batch transform, see Use Batch Transform.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

TransformJob()

Constructors
Constructor and Description
`TransformJob()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`TransformJob`	`addEnvironmentEntry(String key, String value)` Add a single Environment entry
`TransformJob`	`clearEnvironmentEntries()` Removes all the entries added into Environment.
`TransformJob`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAutoMLJobArn()` The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
`String`	`getBatchStrategy()` Specifies the number of records to include in a mini-batch for an HTTP inference request.
`Date`	`getCreationTime()` A timestamp that shows when the transform Job was created.
`BatchDataCaptureConfig`	`getDataCaptureConfig()`
`DataProcessing`	`getDataProcessing()`
`Map<String,String>`	`getEnvironment()` The environment variables to set in the Docker container.
`ExperimentConfig`	`getExperimentConfig()`
`String`	`getFailureReason()` If the transform job failed, the reason it failed.
`String`	`getLabelingJobArn()` The Amazon Resource Name (ARN) of the labeling job that created the transform job.
`Integer`	`getMaxConcurrentTransforms()` The maximum number of parallel requests that can be sent to each instance in a transform job.
`Integer`	`getMaxPayloadInMB()` The maximum allowed size of the payload, in MB.
`ModelClientConfig`	`getModelClientConfig()`
`String`	`getModelName()` The name of the model associated with the transform job.
`List<Tag>`	`getTags()` A list of tags associated with the transform job.
`Date`	`getTransformEndTime()` Indicates when the transform job has been completed, or has stopped or failed.
`TransformInput`	`getTransformInput()`
`String`	`getTransformJobArn()` The Amazon Resource Name (ARN) of the transform job.
`String`	`getTransformJobName()` The name of the transform job.
`String`	`getTransformJobStatus()` The status of the transform job.
`TransformOutput`	`getTransformOutput()`
`TransformResources`	`getTransformResources()`
`Date`	`getTransformStartTime()` Indicates when the transform job starts on ML instances.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAutoMLJobArn(String autoMLJobArn)` The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
`void`	`setBatchStrategy(String batchStrategy)` Specifies the number of records to include in a mini-batch for an HTTP inference request.
`void`	`setCreationTime(Date creationTime)` A timestamp that shows when the transform Job was created.
`void`	`setDataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)`
`void`	`setDataProcessing(DataProcessing dataProcessing)`
`void`	`setEnvironment(Map<String,String> environment)` The environment variables to set in the Docker container.
`void`	`setExperimentConfig(ExperimentConfig experimentConfig)`
`void`	`setFailureReason(String failureReason)` If the transform job failed, the reason it failed.
`void`	`setLabelingJobArn(String labelingJobArn)` The Amazon Resource Name (ARN) of the labeling job that created the transform job.
`void`	`setMaxConcurrentTransforms(Integer maxConcurrentTransforms)` The maximum number of parallel requests that can be sent to each instance in a transform job.
`void`	`setMaxPayloadInMB(Integer maxPayloadInMB)` The maximum allowed size of the payload, in MB.
`void`	`setModelClientConfig(ModelClientConfig modelClientConfig)`
`void`	`setModelName(String modelName)` The name of the model associated with the transform job.
`void`	`setTags(Collection<Tag> tags)` A list of tags associated with the transform job.
`void`	`setTransformEndTime(Date transformEndTime)` Indicates when the transform job has been completed, or has stopped or failed.
`void`	`setTransformInput(TransformInput transformInput)`
`void`	`setTransformJobArn(String transformJobArn)` The Amazon Resource Name (ARN) of the transform job.
`void`	`setTransformJobName(String transformJobName)` The name of the transform job.
`void`	`setTransformJobStatus(String transformJobStatus)` The status of the transform job.
`void`	`setTransformOutput(TransformOutput transformOutput)`
`void`	`setTransformResources(TransformResources transformResources)`
`void`	`setTransformStartTime(Date transformStartTime)` Indicates when the transform job starts on ML instances.
`String`	`toString()` Returns a string representation of this object.
`TransformJob`	`withAutoMLJobArn(String autoMLJobArn)` The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
`TransformJob`	`withBatchStrategy(BatchStrategy batchStrategy)` Specifies the number of records to include in a mini-batch for an HTTP inference request.
`TransformJob`	`withBatchStrategy(String batchStrategy)` Specifies the number of records to include in a mini-batch for an HTTP inference request.
`TransformJob`	`withCreationTime(Date creationTime)` A timestamp that shows when the transform Job was created.
`TransformJob`	`withDataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)`
`TransformJob`	`withDataProcessing(DataProcessing dataProcessing)`
`TransformJob`	`withEnvironment(Map<String,String> environment)` The environment variables to set in the Docker container.
`TransformJob`	`withExperimentConfig(ExperimentConfig experimentConfig)`
`TransformJob`	`withFailureReason(String failureReason)` If the transform job failed, the reason it failed.
`TransformJob`	`withLabelingJobArn(String labelingJobArn)` The Amazon Resource Name (ARN) of the labeling job that created the transform job.
`TransformJob`	`withMaxConcurrentTransforms(Integer maxConcurrentTransforms)` The maximum number of parallel requests that can be sent to each instance in a transform job.
`TransformJob`	`withMaxPayloadInMB(Integer maxPayloadInMB)` The maximum allowed size of the payload, in MB.
`TransformJob`	`withModelClientConfig(ModelClientConfig modelClientConfig)`
`TransformJob`	`withModelName(String modelName)` The name of the model associated with the transform job.
`TransformJob`	`withTags(Collection<Tag> tags)` A list of tags associated with the transform job.
`TransformJob`	`withTags(Tag... tags)` A list of tags associated with the transform job.
`TransformJob`	`withTransformEndTime(Date transformEndTime)` Indicates when the transform job has been completed, or has stopped or failed.
`TransformJob`	`withTransformInput(TransformInput transformInput)`
`TransformJob`	`withTransformJobArn(String transformJobArn)` The Amazon Resource Name (ARN) of the transform job.
`TransformJob`	`withTransformJobName(String transformJobName)` The name of the transform job.
`TransformJob`	`withTransformJobStatus(String transformJobStatus)` The status of the transform job.
`TransformJob`	`withTransformJobStatus(TransformJobStatus transformJobStatus)` The status of the transform job.
`TransformJob`	`withTransformOutput(TransformOutput transformOutput)`
`TransformJob`	`withTransformResources(TransformResources transformResources)`
`TransformJob`	`withTransformStartTime(Date transformStartTime)` Indicates when the transform job starts on ML instances.

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

- Constructor Detail
  - TransformJob
```
public TransformJob()
```
- Method Detail
  - setTransformJobName
```
public void setTransformJobName(String transformJobName)
```
    The name of the transform job.
    
    Parameters:
    
    transformJobName - The name of the transform job.
  - getTransformJobName
```
public String getTransformJobName()
```
    The name of the transform job.
    
    Returns:
    
    The name of the transform job.
  - withTransformJobName
```
public TransformJob withTransformJobName(String transformJobName)
```
    The name of the transform job.
    
    Parameters:
    
    transformJobName - The name of the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformJobArn
```
public void setTransformJobArn(String transformJobArn)
```
    The Amazon Resource Name (ARN) of the transform job.
    
    Parameters:
    
    transformJobArn - The Amazon Resource Name (ARN) of the transform job.
  - getTransformJobArn
```
public String getTransformJobArn()
```
    The Amazon Resource Name (ARN) of the transform job.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the transform job.
  - withTransformJobArn
```
public TransformJob withTransformJobArn(String transformJobArn)
```
    The Amazon Resource Name (ARN) of the transform job.
    
    Parameters:
    
    transformJobArn - The Amazon Resource Name (ARN) of the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformJobStatus
```
public void setTransformJobStatus(String transformJobStatus)
```
    The status of the transform job.
    
    Transform job statuses are:
    - InProgress - The job is in progress.
    - Completed - The job has completed.
    - Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    - Stopping - The transform job is stopping.
    - Stopped - The transform job has stopped.
    Parameters:
    transformJobStatus - The status of the transform job.
    
    Transform job statuses are:
    
    InProgress - The job is in progress.
    
    Completed - The job has completed.
    
    Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    
    Stopping - The transform job is stopping.
    
    Stopped - The transform job has stopped.
    See Also:
    
    TransformJobStatus
  - getTransformJobStatus
```
public String getTransformJobStatus()
```
    The status of the transform job.
    
    Transform job statuses are:
    - InProgress - The job is in progress.
    - Completed - The job has completed.
    - Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    - Stopping - The transform job is stopping.
    - Stopped - The transform job has stopped.
    Returns:
    The status of the transform job.
    
    Transform job statuses are:
    
    InProgress - The job is in progress.
    
    Completed - The job has completed.
    
    Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    
    Stopping - The transform job is stopping.
    
    Stopped - The transform job has stopped.
    See Also:
    
    TransformJobStatus
  - withTransformJobStatus
```
public TransformJob withTransformJobStatus(String transformJobStatus)
```
    The status of the transform job.
    
    Transform job statuses are:
    - InProgress - The job is in progress.
    - Completed - The job has completed.
    - Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    - Stopping - The transform job is stopping.
    - Stopped - The transform job has stopped.
    Parameters:
    transformJobStatus - The status of the transform job.
    
    Transform job statuses are:
    
    InProgress - The job is in progress.
    
    Completed - The job has completed.
    
    Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    
    Stopping - The transform job is stopping.
    
    Stopped - The transform job has stopped.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformJobStatus
  - withTransformJobStatus
```
public TransformJob withTransformJobStatus(TransformJobStatus transformJobStatus)
```
    The status of the transform job.
    
    Transform job statuses are:
    - InProgress - The job is in progress.
    - Completed - The job has completed.
    - Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    - Stopping - The transform job is stopping.
    - Stopped - The transform job has stopped.
    Parameters:
    transformJobStatus - The status of the transform job.
    
    Transform job statuses are:
    
    InProgress - The job is in progress.
    
    Completed - The job has completed.
    
    Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    
    Stopping - The transform job is stopping.
    
    Stopped - The transform job has stopped.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    TransformJobStatus
  - setFailureReason
```
public void setFailureReason(String failureReason)
```
    If the transform job failed, the reason it failed.
    
    Parameters:
    
    failureReason - If the transform job failed, the reason it failed.
  - getFailureReason
```
public String getFailureReason()
```
    If the transform job failed, the reason it failed.
    
    Returns:
    
    If the transform job failed, the reason it failed.
  - withFailureReason
```
public TransformJob withFailureReason(String failureReason)
```
    If the transform job failed, the reason it failed.
    
    Parameters:
    
    failureReason - If the transform job failed, the reason it failed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the model associated with the transform job.
    
    Parameters:
    
    modelName - The name of the model associated with the transform job.
  - getModelName
```
public String getModelName()
```
    The name of the model associated with the transform job.
    
    Returns:
    
    The name of the model associated with the transform job.
  - withModelName
```
public TransformJob withModelName(String modelName)
```
    The name of the model associated with the transform job.
    
    Parameters:
    
    modelName - The name of the model associated with the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxConcurrentTransforms
```
public void setMaxConcurrentTransforms(Integer maxConcurrentTransforms)
```
    The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
    
    Parameters:
    
    maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
  - getMaxConcurrentTransforms
```
public Integer getMaxConcurrentTransforms()
```
    The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
    
    Returns:
    
    The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
  - withMaxConcurrentTransforms
```
public TransformJob withMaxConcurrentTransforms(Integer maxConcurrentTransforms)
```
    The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
    
    Parameters:
    
    maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelClientConfig
```
public void setModelClientConfig(ModelClientConfig modelClientConfig)
```
    Parameters:
    
    modelClientConfig -
  - getModelClientConfig
```
public ModelClientConfig getModelClientConfig()
```
    Returns:
  - withModelClientConfig
```
public TransformJob withModelClientConfig(ModelClientConfig modelClientConfig)
```
    Parameters:
    
    modelClientConfig -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxPayloadInMB
```
public void setMaxPayloadInMB(Integer maxPayloadInMB)
```
    The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
    
    Parameters:
    
    maxPayloadInMB - The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
  - getMaxPayloadInMB
```
public Integer getMaxPayloadInMB()
```
    The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
    
    Returns:
    
    The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
  - withMaxPayloadInMB
```
public TransformJob withMaxPayloadInMB(Integer maxPayloadInMB)
```
    The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
    
    Parameters:
    
    maxPayloadInMB - The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setBatchStrategy
```
public void setBatchStrategy(String batchStrategy)
```
    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Parameters:
    
    batchStrategy - Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    See Also:
    
    BatchStrategy
  - getBatchStrategy
```
public String getBatchStrategy()
```
    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Returns:
    
    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    See Also:
    
    BatchStrategy
  - withBatchStrategy
```
public TransformJob withBatchStrategy(String batchStrategy)
```
    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Parameters:
    
    batchStrategy - Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    BatchStrategy
  - withBatchStrategy
```
public TransformJob withBatchStrategy(BatchStrategy batchStrategy)
```
    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Parameters:
    
    batchStrategy - Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    BatchStrategy
  - getEnvironment
```
public Map<String,String> getEnvironment()
```
    The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
    
    Returns:
    
    The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
  - setEnvironment
```
public void setEnvironment(Map<String,String> environment)
```
    The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
    
    Parameters:
    
    environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
  - withEnvironment
```
public TransformJob withEnvironment(Map<String,String> environment)
```
    The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
    
    Parameters:
    
    environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addEnvironmentEntry
```
public TransformJob addEnvironmentEntry(String key,
                                        String value)
```
    Add a single Environment entry
    
    See Also:
    
    withEnvironment(java.util.Map<java.lang.String, java.lang.String>)
  - clearEnvironmentEntries
```
public TransformJob clearEnvironmentEntries()
```
    Removes all the entries added into Environment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformInput
```
public void setTransformInput(TransformInput transformInput)
```
    Parameters:
    
    transformInput -
  - getTransformInput
```
public TransformInput getTransformInput()
```
    Returns:
  - withTransformInput
```
public TransformJob withTransformInput(TransformInput transformInput)
```
    Parameters:
    
    transformInput -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformOutput
```
public void setTransformOutput(TransformOutput transformOutput)
```
    Parameters:
    
    transformOutput -
  - getTransformOutput
```
public TransformOutput getTransformOutput()
```
    Returns:
  - withTransformOutput
```
public TransformJob withTransformOutput(TransformOutput transformOutput)
```
    Parameters:
    
    transformOutput -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataCaptureConfig
```
public void setDataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
```
    Parameters:
    
    dataCaptureConfig -
  - getDataCaptureConfig
```
public BatchDataCaptureConfig getDataCaptureConfig()
```
    Returns:
  - withDataCaptureConfig
```
public TransformJob withDataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
```
    Parameters:
    
    dataCaptureConfig -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformResources
```
public void setTransformResources(TransformResources transformResources)
```
    Parameters:
    
    transformResources -
  - getTransformResources
```
public TransformResources getTransformResources()
```
    Returns:
  - withTransformResources
```
public TransformJob withTransformResources(TransformResources transformResources)
```
    Parameters:
    
    transformResources -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreationTime
```
public void setCreationTime(Date creationTime)
```
    A timestamp that shows when the transform Job was created.
    
    Parameters:
    
    creationTime - A timestamp that shows when the transform Job was created.
  - getCreationTime
```
public Date getCreationTime()
```
    A timestamp that shows when the transform Job was created.
    
    Returns:
    
    A timestamp that shows when the transform Job was created.
  - withCreationTime
```
public TransformJob withCreationTime(Date creationTime)
```
    A timestamp that shows when the transform Job was created.
    
    Parameters:
    
    creationTime - A timestamp that shows when the transform Job was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformStartTime
```
public void setTransformStartTime(Date transformStartTime)
```
    Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
    
    Parameters:
    
    transformStartTime - Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
  - getTransformStartTime
```
public Date getTransformStartTime()
```
    Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
    
    Returns:
    
    Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
  - withTransformStartTime
```
public TransformJob withTransformStartTime(Date transformStartTime)
```
    Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
    
    Parameters:
    
    transformStartTime - Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTransformEndTime
```
public void setTransformEndTime(Date transformEndTime)
```
    Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
    
    Parameters:
    
    transformEndTime - Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
  - getTransformEndTime
```
public Date getTransformEndTime()
```
    Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
    
    Returns:
    
    Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
  - withTransformEndTime
```
public TransformJob withTransformEndTime(Date transformEndTime)
```
    Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
    
    Parameters:
    
    transformEndTime - Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLabelingJobArn
```
public void setLabelingJobArn(String labelingJobArn)
```
    The Amazon Resource Name (ARN) of the labeling job that created the transform job.
    
    Parameters:
    
    labelingJobArn - The Amazon Resource Name (ARN) of the labeling job that created the transform job.
  - getLabelingJobArn
```
public String getLabelingJobArn()
```
    The Amazon Resource Name (ARN) of the labeling job that created the transform job.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the labeling job that created the transform job.
  - withLabelingJobArn
```
public TransformJob withLabelingJobArn(String labelingJobArn)
```
    The Amazon Resource Name (ARN) of the labeling job that created the transform job.
    
    Parameters:
    
    labelingJobArn - The Amazon Resource Name (ARN) of the labeling job that created the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoMLJobArn
```
public void setAutoMLJobArn(String autoMLJobArn)
```
    The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
    
    Parameters:
    
    autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
  - getAutoMLJobArn
```
public String getAutoMLJobArn()
```
    The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
  - withAutoMLJobArn
```
public TransformJob withAutoMLJobArn(String autoMLJobArn)
```
    The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
    
    Parameters:
    
    autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataProcessing
```
public void setDataProcessing(DataProcessing dataProcessing)
```
    Parameters:
    
    dataProcessing -
  - getDataProcessing
```
public DataProcessing getDataProcessing()
```
    Returns:
  - withDataProcessing
```
public TransformJob withDataProcessing(DataProcessing dataProcessing)
```
    Parameters:
    
    dataProcessing -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setExperimentConfig
```
public void setExperimentConfig(ExperimentConfig experimentConfig)
```
    Parameters:
    
    experimentConfig -
  - getExperimentConfig
```
public ExperimentConfig getExperimentConfig()
```
    Returns:
  - withExperimentConfig
```
public TransformJob withExperimentConfig(ExperimentConfig experimentConfig)
```
    Parameters:
    
    experimentConfig -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getTags
```
public List<Tag> getTags()
```
    A list of tags associated with the transform job.
    
    Returns:
    
    A list of tags associated with the transform job.
  - setTags
```
public void setTags(Collection<Tag> tags)
```
    A list of tags associated with the transform job.
    
    Parameters:
    
    tags - A list of tags associated with the transform job.
  - withTags
```
public TransformJob withTags(Tag... tags)
```
    A list of tags associated with the transform job.
    
    NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    tags - A list of tags associated with the transform job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withTags
```
public TransformJob withTags(Collection<Tag> tags)
```
    A list of tags associated with the transform job.
    
    Parameters:
    
    tags - A list of tags associated with the transform job.
    
    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 TransformJob 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 - 1.12.780

Class TransformJob

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

TransformJob

Method Detail

setTransformJobName

getTransformJobName

withTransformJobName

setTransformJobArn

getTransformJobArn

withTransformJobArn

setTransformJobStatus

getTransformJobStatus

withTransformJobStatus

withTransformJobStatus

setFailureReason

getFailureReason

withFailureReason

setModelName

getModelName

withModelName

setMaxConcurrentTransforms

getMaxConcurrentTransforms

withMaxConcurrentTransforms

setModelClientConfig

getModelClientConfig

withModelClientConfig

setMaxPayloadInMB

getMaxPayloadInMB

withMaxPayloadInMB

setBatchStrategy

getBatchStrategy

withBatchStrategy

withBatchStrategy

getEnvironment

setEnvironment

withEnvironment

addEnvironmentEntry

clearEnvironmentEntries

setTransformInput

getTransformInput

withTransformInput

setTransformOutput

getTransformOutput

withTransformOutput

setDataCaptureConfig

getDataCaptureConfig

withDataCaptureConfig

setTransformResources

getTransformResources

withTransformResources

setCreationTime

getCreationTime

withCreationTime

setTransformStartTime

getTransformStartTime

withTransformStartTime

setTransformEndTime

getTransformEndTime

withTransformEndTime

setLabelingJobArn

getLabelingJobArn

withLabelingJobArn

setAutoMLJobArn

getAutoMLJobArn

withAutoMLJobArn

setDataProcessing

getDataProcessing

withDataProcessing

setExperimentConfig

getExperimentConfig

withExperimentConfig

getTags

setTags

withTags

withTags

toString