@Generated(value="software.amazon.awssdk:codegen") public final class DescribeTransformJobResponse extends SageMakerResponse implements ToCopyableBuilder<DescribeTransformJobResponse.Builder,DescribeTransformJobResponse>
| Modifier and Type | Class and Description |
|---|---|
static interface |
DescribeTransformJobResponse.Builder |
| Modifier and Type | Method and Description |
|---|---|
String |
autoMLJobArn()
The Amazon Resource Name (ARN) of the AutoML transform job.
|
BatchStrategy |
batchStrategy()
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
String |
batchStrategyAsString()
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
static DescribeTransformJobResponse.Builder |
builder() |
Instant |
creationTime()
A timestamp that shows when the transform Job was created.
|
BatchDataCaptureConfig |
dataCaptureConfig()
Configuration to control how SageMaker captures inference data.
|
DataProcessing |
dataProcessing()
Returns the value of the DataProcessing property for this object.
|
Map<String,String> |
environment()
The environment variables to set in the Docker container.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
ExperimentConfig |
experimentConfig()
Returns the value of the ExperimentConfig property for this object.
|
String |
failureReason()
If the transform job failed,
FailureReason describes why it failed. |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
boolean |
hasEnvironment()
For responses, this returns true if the service returned a value for the Environment property.
|
int |
hashCode() |
String |
labelingJobArn()
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
|
Integer |
maxConcurrentTransforms()
The maximum number of parallel requests on each instance node that can be launched in a transform job.
|
Integer |
maxPayloadInMB()
The maximum payload size, in MB, used in the transform job.
|
ModelClientConfig |
modelClientConfig()
The timeout and maximum number of retries for processing a transform job invocation.
|
String |
modelName()
The name of the model used in the transform job.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends DescribeTransformJobResponse.Builder> |
serializableBuilderClass() |
DescribeTransformJobResponse.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
Instant |
transformEndTime()
Indicates when the transform job has been completed, or has stopped or failed.
|
TransformInput |
transformInput()
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
|
String |
transformJobArn()
The Amazon Resource Name (ARN) of the transform job.
|
String |
transformJobName()
The name of the transform job.
|
TransformJobStatus |
transformJobStatus()
The status of the transform job.
|
String |
transformJobStatusAsString()
The status of the transform job.
|
TransformOutput |
transformOutput()
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
|
TransformResources |
transformResources()
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
|
Instant |
transformStartTime()
Indicates when the transform job starts on ML instances.
|
responseMetadatasdkHttpResponseclone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String transformJobName()
The name of the transform job.
public final String transformJobArn()
The Amazon Resource Name (ARN) of the transform job.
public final TransformJobStatus transformJobStatus()
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason field.
If the service returns an enum value that is not available in the current SDK version,
transformJobStatus will return TransformJobStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned
by the service is available from transformJobStatusAsString().
FailureReason field.TransformJobStatuspublic final String transformJobStatusAsString()
The status of the transform job. If the transform job failed, the reason is returned in the
FailureReason field.
If the service returns an enum value that is not available in the current SDK version,
transformJobStatus will return TransformJobStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned
by the service is available from transformJobStatusAsString().
FailureReason field.TransformJobStatuspublic final String failureReason()
If the transform job failed, FailureReason describes why it failed. A transform job creates a log
file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with
Amazon CloudWatch.
FailureReason describes why it failed. A transform job creates
a log file, which includes error messages, and stores it as an Amazon S3 object. For more information,
see Log Amazon
SageMaker Events with Amazon CloudWatch.public final String modelName()
The name of the model used in the transform job.
public final 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.
public final ModelClientConfig modelClientConfig()
The timeout and maximum number of retries for processing a transform job invocation.
public final Integer maxPayloadInMB()
The maximum payload size, in MB, used in the transform job.
public final 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.
To enable the batch strategy, you must set SplitType to Line, RecordIO, or
TFRecord.
If the service returns an enum value that is not available in the current SDK version, batchStrategy
will return BatchStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
batchStrategyAsString().
To enable the batch strategy, you must set SplitType to Line,
RecordIO, or TFRecord.
BatchStrategypublic final String batchStrategyAsString()
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.
To enable the batch strategy, you must set SplitType to Line, RecordIO, or
TFRecord.
If the service returns an enum value that is not available in the current SDK version, batchStrategy
will return BatchStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
batchStrategyAsString().
To enable the batch strategy, you must set SplitType to Line,
RecordIO, or TFRecord.
BatchStrategypublic final boolean hasEnvironment()
isEmpty() method on the property).
This is useful because the SDK will never return a null collection or map, but you may need to differentiate
between the service returning nothing (or null) and the service returning an empty collection or map. For
requests, this returns true if a value for the property was specified in the request builder, and false if a
value was not specified.public final 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.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasEnvironment() method.
public final TransformInput transformInput()
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
public final TransformOutput transformOutput()
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
public final BatchDataCaptureConfig dataCaptureConfig()
Configuration to control how SageMaker captures inference data.
public final TransformResources transformResources()
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
public final Instant creationTime()
A timestamp that shows when the transform Job was created.
public final Instant 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.
TransformEndTime.public final Instant 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.
TransformStartTime.public final String labelingJobArn()
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
public final String autoMLJobArn()
The Amazon Resource Name (ARN) of the AutoML transform job.
public final DataProcessing dataProcessing()
public final ExperimentConfig experimentConfig()
public DescribeTransformJobResponse.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<DescribeTransformJobResponse.Builder,DescribeTransformJobResponse>toBuilder in class AwsResponsepublic static DescribeTransformJobResponse.Builder builder()
public static Class<? extends DescribeTransformJobResponse.Builder> serializableBuilderClass()
public final int hashCode()
hashCode in class AwsResponsepublic final boolean equals(Object obj)
equals in class AwsResponsepublic final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
public final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz)
getValueForField in class SdkResponseCopyright © 2023. All rights reserved.