@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class DescribeTransformJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable, Cloneable
Constructor and Description |
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DescribeTransformJobResult() |
Modifier and Type | Method and Description |
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DescribeTransformJobResult |
addEnvironmentEntry(String key,
String value) |
DescribeTransformJobResult |
clearEnvironmentEntries()
Removes all the entries added into Environment.
|
DescribeTransformJobResult |
clone() |
boolean |
equals(Object obj) |
String |
getBatchStrategy()
If you want to include only one record in a batch, specify
SingleRecord .. |
Date |
getCreationTime()
A timestamp that shows when the transform Job was created.
|
Map<String,String> |
getEnvironment()
|
String |
getFailureReason()
If the transform job failed, the reason that it failed.
|
String |
getLabelingJobArn()
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
|
Integer |
getMaxConcurrentTransforms()
The maximum number of parallel requests on each instance node that can be launched in a transform job.
|
Integer |
getMaxPayloadInMB()
The maximum payload size, in MB, used in the transform job.
|
String |
getModelName()
The name of the model used in the transform job.
|
Date |
getTransformEndTime()
Indicates when the transform job has been completed, or has stopped or failed.
|
TransformInput |
getTransformInput()
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
|
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()
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
|
TransformResources |
getTransformResources()
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
Date |
getTransformStartTime()
Indicates when the transform job starts on ML instances.
|
int |
hashCode() |
void |
setBatchStrategy(String batchStrategy)
If you want to include only one record in a batch, specify
SingleRecord .. |
void |
setCreationTime(Date creationTime)
A timestamp that shows when the transform Job was created.
|
void |
setEnvironment(Map<String,String> environment)
|
void |
setFailureReason(String failureReason)
If the transform job failed, the reason that it failed.
|
void |
setLabelingJobArn(String labelingJobArn)
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
|
void |
setMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests on each instance node that can be launched in a transform job.
|
void |
setMaxPayloadInMB(Integer maxPayloadInMB)
The maximum payload size, in MB, used in the transform job.
|
void |
setModelName(String modelName)
The name of the model used in the transform job.
|
void |
setTransformEndTime(Date transformEndTime)
Indicates when the transform job has been completed, or has stopped or failed.
|
void |
setTransformInput(TransformInput transformInput)
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
|
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)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
|
void |
setTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
void |
setTransformStartTime(Date transformStartTime)
Indicates when the transform job starts on ML instances.
|
String |
toString()
Returns a string representation of this object.
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DescribeTransformJobResult |
withBatchStrategy(BatchStrategy batchStrategy)
If you want to include only one record in a batch, specify
SingleRecord .. |
DescribeTransformJobResult |
withBatchStrategy(String batchStrategy)
If you want to include only one record in a batch, specify
SingleRecord .. |
DescribeTransformJobResult |
withCreationTime(Date creationTime)
A timestamp that shows when the transform Job was created.
|
DescribeTransformJobResult |
withEnvironment(Map<String,String> environment)
|
DescribeTransformJobResult |
withFailureReason(String failureReason)
If the transform job failed, the reason that it failed.
|
DescribeTransformJobResult |
withLabelingJobArn(String labelingJobArn)
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
|
DescribeTransformJobResult |
withMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests on each instance node that can be launched in a transform job.
|
DescribeTransformJobResult |
withMaxPayloadInMB(Integer maxPayloadInMB)
The maximum payload size, in MB, used in the transform job.
|
DescribeTransformJobResult |
withModelName(String modelName)
The name of the model used in the transform job.
|
DescribeTransformJobResult |
withTransformEndTime(Date transformEndTime)
Indicates when the transform job has been completed, or has stopped or failed.
|
DescribeTransformJobResult |
withTransformInput(TransformInput transformInput)
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
|
DescribeTransformJobResult |
withTransformJobArn(String transformJobArn)
The Amazon Resource Name (ARN) of the transform job.
|
DescribeTransformJobResult |
withTransformJobName(String transformJobName)
The name of the transform job.
|
DescribeTransformJobResult |
withTransformJobStatus(String transformJobStatus)
The status of the transform job.
|
DescribeTransformJobResult |
withTransformJobStatus(TransformJobStatus transformJobStatus)
The status of the transform job.
|
DescribeTransformJobResult |
withTransformOutput(TransformOutput transformOutput)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
|
DescribeTransformJobResult |
withTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
DescribeTransformJobResult |
withTransformStartTime(Date transformStartTime)
Indicates when the transform job starts on ML instances.
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getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata
public void setTransformJobName(String transformJobName)
The name of the transform job.
transformJobName
- The name of the transform job.public String getTransformJobName()
The name of the transform job.
public DescribeTransformJobResult withTransformJobName(String transformJobName)
The name of the transform job.
transformJobName
- The name of the transform job.public void setTransformJobArn(String transformJobArn)
The Amazon Resource Name (ARN) of the transform job.
transformJobArn
- The Amazon Resource Name (ARN) of the transform job.public String getTransformJobArn()
The Amazon Resource Name (ARN) of the transform job.
public DescribeTransformJobResult withTransformJobArn(String transformJobArn)
The Amazon Resource Name (ARN) of the transform job.
transformJobArn
- The Amazon Resource Name (ARN) of the transform job.public void setTransformJobStatus(String transformJobStatus)
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.
transformJobStatus
- The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.TransformJobStatus
public String getTransformJobStatus()
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.
FailureReason
field.TransformJobStatus
public DescribeTransformJobResult withTransformJobStatus(String transformJobStatus)
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.
transformJobStatus
- The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.TransformJobStatus
public DescribeTransformJobResult withTransformJobStatus(TransformJobStatus transformJobStatus)
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.
transformJobStatus
- The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason
field.TransformJobStatus
public void setFailureReason(String failureReason)
If the transform job failed, the reason that it failed.
failureReason
- If the transform job failed, the reason that it failed.public String getFailureReason()
If the transform job failed, the reason that it failed.
public DescribeTransformJobResult withFailureReason(String failureReason)
If the transform job failed, the reason that it failed.
failureReason
- If the transform job failed, the reason that it failed.public void setModelName(String modelName)
The name of the model used in the transform job.
modelName
- The name of the model used in the transform job.public String getModelName()
The name of the model used in the transform job.
public DescribeTransformJobResult withModelName(String modelName)
The name of the model used in the transform job.
modelName
- The name of the model used in the transform job.public void setMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
maxConcurrentTransforms
- The maximum number of parallel requests on each instance node that can be launched in a transform job. The
default value is 1.public Integer getMaxConcurrentTransforms()
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
public DescribeTransformJobResult withMaxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
maxConcurrentTransforms
- The maximum number of parallel requests on each instance node that can be launched in a transform job. The
default value is 1.public void setMaxPayloadInMB(Integer maxPayloadInMB)
The maximum payload size, in MB, used in the transform job.
maxPayloadInMB
- The maximum payload size, in MB, used in the transform job.public Integer getMaxPayloadInMB()
The maximum payload size, in MB, used in the transform job.
public DescribeTransformJobResult withMaxPayloadInMB(Integer maxPayloadInMB)
The maximum payload size, in MB, used in the transform job.
maxPayloadInMB
- The maximum payload size, in MB, used in the transform job.public void setBatchStrategy(String batchStrategy)
If you want to include only one record in a batch, specify SingleRecord
.. If you want batches to
contain a maximum of the number of records specified in the MaxPayloadInMB
parameter, specify
MultiRecord
.S
batchStrategy
- If you want to include only one record in a batch, specify SingleRecord
.. If you want batches
to contain a maximum of the number of records specified in the MaxPayloadInMB
parameter,
specify MultiRecord
.SBatchStrategy
public String getBatchStrategy()
If you want to include only one record in a batch, specify SingleRecord
.. If you want batches to
contain a maximum of the number of records specified in the MaxPayloadInMB
parameter, specify
MultiRecord
.S
SingleRecord
.. If you want
batches to contain a maximum of the number of records specified in the MaxPayloadInMB
parameter, specify MultiRecord
.SBatchStrategy
public DescribeTransformJobResult withBatchStrategy(String batchStrategy)
If you want to include only one record in a batch, specify SingleRecord
.. If you want batches to
contain a maximum of the number of records specified in the MaxPayloadInMB
parameter, specify
MultiRecord
.S
batchStrategy
- If you want to include only one record in a batch, specify SingleRecord
.. If you want batches
to contain a maximum of the number of records specified in the MaxPayloadInMB
parameter,
specify MultiRecord
.SBatchStrategy
public DescribeTransformJobResult withBatchStrategy(BatchStrategy batchStrategy)
If you want to include only one record in a batch, specify SingleRecord
.. If you want batches to
contain a maximum of the number of records specified in the MaxPayloadInMB
parameter, specify
MultiRecord
.S
batchStrategy
- If you want to include only one record in a batch, specify SingleRecord
.. If you want batches
to contain a maximum of the number of records specified in the MaxPayloadInMB
parameter,
specify MultiRecord
.SBatchStrategy
public DescribeTransformJobResult withEnvironment(Map<String,String> environment)
environment
- public DescribeTransformJobResult addEnvironmentEntry(String key, String value)
public DescribeTransformJobResult clearEnvironmentEntries()
public void setTransformInput(TransformInput transformInput)
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
transformInput
- Describes the dataset to be transformed and the Amazon S3 location where it is stored.public TransformInput getTransformInput()
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
public DescribeTransformJobResult withTransformInput(TransformInput transformInput)
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
transformInput
- Describes the dataset to be transformed and the Amazon S3 location where it is stored.public void setTransformOutput(TransformOutput transformOutput)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transformOutput
- Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform
job.public TransformOutput getTransformOutput()
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
public DescribeTransformJobResult withTransformOutput(TransformOutput transformOutput)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transformOutput
- Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform
job.public void setTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
transformResources
- Describes the resources, including ML instance types and ML instance count, to use for the transform job.public TransformResources getTransformResources()
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
public DescribeTransformJobResult withTransformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
transformResources
- Describes the resources, including ML instance types and ML instance count, to use for the transform job.public void setCreationTime(Date creationTime)
A timestamp that shows when the transform Job was created.
creationTime
- A timestamp that shows when the transform Job was created.public Date getCreationTime()
A timestamp that shows when the transform Job was created.
public DescribeTransformJobResult withCreationTime(Date creationTime)
A timestamp that shows when the transform Job was created.
creationTime
- A timestamp that shows when the transform Job was created.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
.
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
.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
.
TransformEndTime
.public DescribeTransformJobResult 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
.
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
.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
.
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
.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
.
TransformStartTime
.public DescribeTransformJobResult 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
.
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
.public void setLabelingJobArn(String labelingJobArn)
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
labelingJobArn
- The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the
transform or training job.public String getLabelingJobArn()
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
public DescribeTransformJobResult withLabelingJobArn(String labelingJobArn)
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
labelingJobArn
- The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the
transform or training job.public String toString()
toString
in class Object
Object.toString()
public DescribeTransformJobResult clone()
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