Interface CreateTransformJobRequest.Builder
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- All Superinterfaces:
AwsRequest.Builder
,Buildable
,CopyableBuilder<CreateTransformJobRequest.Builder,CreateTransformJobRequest>
,SageMakerRequest.Builder
,SdkBuilder<CreateTransformJobRequest.Builder,CreateTransformJobRequest>
,SdkPojo
,SdkRequest.Builder
- Enclosing class:
- CreateTransformJobRequest
public static interface CreateTransformJobRequest.Builder extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder<CreateTransformJobRequest.Builder,CreateTransformJobRequest>
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Method Summary
All Methods Instance Methods Abstract Methods Default Methods Modifier and Type Method Description CreateTransformJobRequest.Builder
batchStrategy(String batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.CreateTransformJobRequest.Builder
batchStrategy(BatchStrategy batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.default CreateTransformJobRequest.Builder
dataCaptureConfig(Consumer<BatchDataCaptureConfig.Builder> dataCaptureConfig)
Configuration to control how SageMaker captures inference data.CreateTransformJobRequest.Builder
dataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
Configuration to control how SageMaker captures inference data.default CreateTransformJobRequest.Builder
dataProcessing(Consumer<DataProcessing.Builder> dataProcessing)
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output.CreateTransformJobRequest.Builder
dataProcessing(DataProcessing dataProcessing)
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output.CreateTransformJobRequest.Builder
environment(Map<String,String> environment)
The environment variables to set in the Docker container.default CreateTransformJobRequest.Builder
experimentConfig(Consumer<ExperimentConfig.Builder> experimentConfig)
Sets the value of the ExperimentConfig property for this object.CreateTransformJobRequest.Builder
experimentConfig(ExperimentConfig experimentConfig)
Sets the value of the ExperimentConfig property for this object.CreateTransformJobRequest.Builder
maxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests that can be sent to each instance in a transform job.CreateTransformJobRequest.Builder
maxPayloadInMB(Integer maxPayloadInMB)
The maximum allowed size of the payload, in MB.default CreateTransformJobRequest.Builder
modelClientConfig(Consumer<ModelClientConfig.Builder> modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.CreateTransformJobRequest.Builder
modelClientConfig(ModelClientConfig modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.CreateTransformJobRequest.Builder
modelName(String modelName)
The name of the model that you want to use for the transform job.CreateTransformJobRequest.Builder
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
CreateTransformJobRequest.Builder
overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
CreateTransformJobRequest.Builder
tags(Collection<Tag> tags)
(Optional) An array of key-value pairs.CreateTransformJobRequest.Builder
tags(Consumer<Tag.Builder>... tags)
(Optional) An array of key-value pairs.CreateTransformJobRequest.Builder
tags(Tag... tags)
(Optional) An array of key-value pairs.default CreateTransformJobRequest.Builder
transformInput(Consumer<TransformInput.Builder> transformInput)
Describes the input source and the way the transform job consumes it.CreateTransformJobRequest.Builder
transformInput(TransformInput transformInput)
Describes the input source and the way the transform job consumes it.CreateTransformJobRequest.Builder
transformJobName(String transformJobName)
The name of the transform job.default CreateTransformJobRequest.Builder
transformOutput(Consumer<TransformOutput.Builder> transformOutput)
Describes the results of the transform job.CreateTransformJobRequest.Builder
transformOutput(TransformOutput transformOutput)
Describes the results of the transform job.default CreateTransformJobRequest.Builder
transformResources(Consumer<TransformResources.Builder> transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.CreateTransformJobRequest.Builder
transformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.-
Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder
overrideConfiguration
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Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
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Methods inherited from interface software.amazon.awssdk.services.sagemaker.model.SageMakerRequest.Builder
build
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Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
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Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Detail
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transformJobName
CreateTransformJobRequest.Builder transformJobName(String transformJobName)
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
- Parameters:
transformJobName
- The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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modelName
CreateTransformJobRequest.Builder modelName(String modelName)
The name of the model that you want to use for the transform job.
ModelName
must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.- Parameters:
modelName
- The name of the model that you want to use for the transform job.ModelName
must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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maxConcurrentTransforms
CreateTransformJobRequest.Builder maxConcurrentTransforms(Integer maxConcurrentTransforms)
The maximum number of parallel requests that can be sent to each instance in a transform job. If
MaxConcurrentTransforms
is set to0
or left unset, Amazon 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 is1
. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value forMaxConcurrentTransforms
.- Parameters:
maxConcurrentTransforms
- The maximum number of parallel requests that can be sent to each instance in a transform job. IfMaxConcurrentTransforms
is set to0
or left unset, Amazon 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 is1
. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value forMaxConcurrentTransforms
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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modelClientConfig
CreateTransformJobRequest.Builder modelClientConfig(ModelClientConfig modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.
- Parameters:
modelClientConfig
- Configures the timeout and maximum number of retries for processing a transform job invocation.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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modelClientConfig
default CreateTransformJobRequest.Builder modelClientConfig(Consumer<ModelClientConfig.Builder> modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.
This is a convenience method that creates an instance of theModelClientConfig.Builder
avoiding the need to create one manually viaModelClientConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed tomodelClientConfig(ModelClientConfig)
.- Parameters:
modelClientConfig
- a consumer that will call methods onModelClientConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
modelClientConfig(ModelClientConfig)
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maxPayloadInMB
CreateTransformJobRequest.Builder maxPayloadInMB(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 is6
MB.The value of
MaxPayloadInMB
cannot be greater than 100 MB. If you specify theMaxConcurrentTransforms
parameter, the value of(MaxConcurrentTransforms * MaxPayloadInMB)
also cannot exceed 100 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, Amazon 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 inMaxPayloadInMB
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 is6
MB.The value of
MaxPayloadInMB
cannot be greater than 100 MB. If you specify theMaxConcurrentTransforms
parameter, the value of(MaxConcurrentTransforms * MaxPayloadInMB)
also cannot exceed 100 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, Amazon 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.
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batchStrategy
CreateTransformJobRequest.Builder batchStrategy(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.
To enable the batch strategy, you must set the
SplitType
property toLine
,RecordIO
, orTFRecord
.To use only one record when making an HTTP invocation request to a container, set
BatchStrategy
toSingleRecord
andSplitType
toLine
.To fit as many records in a mini-batch as can fit within the
MaxPayloadInMB
limit, setBatchStrategy
toMultiRecord
andSplitType
toLine
.- 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.To enable the batch strategy, you must set the
SplitType
property toLine
,RecordIO
, orTFRecord
.To use only one record when making an HTTP invocation request to a container, set
BatchStrategy
toSingleRecord
andSplitType
toLine
.To fit as many records in a mini-batch as can fit within the
MaxPayloadInMB
limit, setBatchStrategy
toMultiRecord
andSplitType
toLine
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
BatchStrategy
,BatchStrategy
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batchStrategy
CreateTransformJobRequest.Builder batchStrategy(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 the
SplitType
property toLine
,RecordIO
, orTFRecord
.To use only one record when making an HTTP invocation request to a container, set
BatchStrategy
toSingleRecord
andSplitType
toLine
.To fit as many records in a mini-batch as can fit within the
MaxPayloadInMB
limit, setBatchStrategy
toMultiRecord
andSplitType
toLine
.- 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.To enable the batch strategy, you must set the
SplitType
property toLine
,RecordIO
, orTFRecord
.To use only one record when making an HTTP invocation request to a container, set
BatchStrategy
toSingleRecord
andSplitType
toLine
.To fit as many records in a mini-batch as can fit within the
MaxPayloadInMB
limit, setBatchStrategy
toMultiRecord
andSplitType
toLine
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
BatchStrategy
,BatchStrategy
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environment
CreateTransformJobRequest.Builder environment(Map<String,String> environment)
The environment variables to set in the Docker container. Don't include any sensitive data in your environment variables. We support up to 16 key and values entries in the map.
- Parameters:
environment
- The environment variables to set in the Docker container. Don't include any sensitive data in your environment variables. 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.
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transformInput
CreateTransformJobRequest.Builder transformInput(TransformInput transformInput)
Describes the input source and the way the transform job consumes it.
- Parameters:
transformInput
- Describes the input source and the way the transform job consumes it.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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transformInput
default CreateTransformJobRequest.Builder transformInput(Consumer<TransformInput.Builder> transformInput)
Describes the input source and the way the transform job consumes it.
This is a convenience method that creates an instance of theTransformInput.Builder
avoiding the need to create one manually viaTransformInput.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed totransformInput(TransformInput)
.- Parameters:
transformInput
- a consumer that will call methods onTransformInput.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
transformInput(TransformInput)
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transformOutput
CreateTransformJobRequest.Builder transformOutput(TransformOutput transformOutput)
Describes the results of the transform job.
- Parameters:
transformOutput
- Describes the results of the transform job.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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transformOutput
default CreateTransformJobRequest.Builder transformOutput(Consumer<TransformOutput.Builder> transformOutput)
Describes the results of the transform job.
This is a convenience method that creates an instance of theTransformOutput.Builder
avoiding the need to create one manually viaTransformOutput.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed totransformOutput(TransformOutput)
.- Parameters:
transformOutput
- a consumer that will call methods onTransformOutput.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
transformOutput(TransformOutput)
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dataCaptureConfig
CreateTransformJobRequest.Builder dataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
Configuration to control how SageMaker captures inference data.
- Parameters:
dataCaptureConfig
- Configuration to control how SageMaker captures inference data.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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dataCaptureConfig
default CreateTransformJobRequest.Builder dataCaptureConfig(Consumer<BatchDataCaptureConfig.Builder> dataCaptureConfig)
Configuration to control how SageMaker captures inference data.
This is a convenience method that creates an instance of theBatchDataCaptureConfig.Builder
avoiding the need to create one manually viaBatchDataCaptureConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed todataCaptureConfig(BatchDataCaptureConfig)
.- Parameters:
dataCaptureConfig
- a consumer that will call methods onBatchDataCaptureConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
dataCaptureConfig(BatchDataCaptureConfig)
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transformResources
CreateTransformJobRequest.Builder transformResources(TransformResources transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- Parameters:
transformResources
- Describes the resources, including ML instance types and ML instance count, to use for the transform job.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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transformResources
default CreateTransformJobRequest.Builder transformResources(Consumer<TransformResources.Builder> transformResources)
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
This is a convenience method that creates an instance of theTransformResources.Builder
avoiding the need to create one manually viaTransformResources.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed totransformResources(TransformResources)
.- Parameters:
transformResources
- a consumer that will call methods onTransformResources.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
transformResources(TransformResources)
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dataProcessing
CreateTransformJobRequest.Builder dataProcessing(DataProcessing dataProcessing)
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
- Parameters:
dataProcessing
- The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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dataProcessing
default CreateTransformJobRequest.Builder dataProcessing(Consumer<DataProcessing.Builder> dataProcessing)
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
This is a convenience method that creates an instance of theDataProcessing.Builder
avoiding the need to create one manually viaDataProcessing.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed todataProcessing(DataProcessing)
.- Parameters:
dataProcessing
- a consumer that will call methods onDataProcessing.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
dataProcessing(DataProcessing)
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tags
CreateTransformJobRequest.Builder tags(Collection<Tag> tags)
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
- Parameters:
tags
- (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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tags
CreateTransformJobRequest.Builder tags(Tag... tags)
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
- Parameters:
tags
- (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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tags
CreateTransformJobRequest.Builder tags(Consumer<Tag.Builder>... tags)
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
This is a convenience method that creates an instance of theTag.Builder
avoiding the need to create one manually viaTag.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed to#tags(List
.) - Parameters:
tags
- a consumer that will call methods onTag.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
#tags(java.util.Collection
)
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experimentConfig
CreateTransformJobRequest.Builder experimentConfig(ExperimentConfig experimentConfig)
Sets the value of the ExperimentConfig property for this object.- Parameters:
experimentConfig
- The new value for the ExperimentConfig property for this object.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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experimentConfig
default CreateTransformJobRequest.Builder experimentConfig(Consumer<ExperimentConfig.Builder> experimentConfig)
Sets the value of the ExperimentConfig property for this object. This is a convenience method that creates an instance of theExperimentConfig.Builder
avoiding the need to create one manually viaExperimentConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toexperimentConfig(ExperimentConfig)
.- Parameters:
experimentConfig
- a consumer that will call methods onExperimentConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
experimentConfig(ExperimentConfig)
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overrideConfiguration
CreateTransformJobRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
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overrideConfiguration
CreateTransformJobRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
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