public static interface CreateTransformJobRequest.Builder extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder<CreateTransformJobRequest.Builder,CreateTransformJobRequest>
| Modifier and Type | Method and Description |
|---|---|
CreateTransformJobRequest.Builder |
batchStrategy(BatchStrategy batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
CreateTransformJobRequest.Builder |
batchStrategy(String batchStrategy)
Specifies the number of records to include in a mini-batch for an HTTP inference request.
|
CreateTransformJobRequest.Builder |
dataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
Configuration to control how SageMaker captures inference data.
|
default CreateTransformJobRequest.Builder |
dataCaptureConfig(Consumer<BatchDataCaptureConfig.Builder> 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(AwsRequestOverrideConfiguration overrideConfiguration) |
CreateTransformJobRequest.Builder |
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
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.
|
buildoverrideConfigurationequalsBySdkFields, sdkFieldscopyapplyMutation, buildCreateTransformJobRequest.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.
transformJobName - The name of the transform job. The name must be unique within an Amazon Web Services Region in an
Amazon Web Services account.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.
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.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 to 0 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 is 1. For more information on
execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for
MaxConcurrentTransforms.
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, 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 is 1. For more
information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for
MaxConcurrentTransforms.CreateTransformJobRequest.Builder modelClientConfig(ModelClientConfig modelClientConfig)
Configures the timeout and maximum number of retries for processing a transform job invocation.
modelClientConfig - Configures the timeout and maximum number of retries for processing a transform job invocation.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 via ModelClientConfig.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to modelClientConfig(ModelClientConfig).
modelClientConfig - a consumer that will call methods on ModelClientConfig.BuildermodelClientConfig(ModelClientConfig)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 is 6 MB.
The value of MaxPayloadInMB cannot be greater than 100 MB. If you specify the
MaxConcurrentTransforms 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.
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.
The value of MaxPayloadInMB cannot be greater than 100 MB. If you specify the
MaxConcurrentTransforms 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.
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 to Line,
RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy
to SingleRecord and SplitType to Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set
BatchStrategy to MultiRecord and SplitType to Line.
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 to Line,
RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set
BatchStrategy to SingleRecord and SplitType to
Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set
BatchStrategy to MultiRecord and SplitType to Line.
BatchStrategy,
BatchStrategyCreateTransformJobRequest.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 to Line,
RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy
to SingleRecord and SplitType to Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set
BatchStrategy to MultiRecord and SplitType to Line.
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 to Line,
RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set
BatchStrategy to SingleRecord and SplitType to
Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set
BatchStrategy to MultiRecord and SplitType to Line.
BatchStrategy,
BatchStrategyCreateTransformJobRequest.Builder environment(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.
environment - The environment variables to set in the Docker container. We support up to 16 key and values entries
in the map.CreateTransformJobRequest.Builder transformInput(TransformInput transformInput)
Describes the input source and the way the transform job consumes it.
transformInput - Describes the input source and the way the transform job consumes it.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 via TransformInput.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to transformInput(TransformInput).
transformInput - a consumer that will call methods on TransformInput.BuildertransformInput(TransformInput)CreateTransformJobRequest.Builder transformOutput(TransformOutput transformOutput)
Describes the results of the transform job.
transformOutput - Describes the results of the transform job.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 via TransformOutput.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to transformOutput(TransformOutput).
transformOutput - a consumer that will call methods on TransformOutput.BuildertransformOutput(TransformOutput)CreateTransformJobRequest.Builder dataCaptureConfig(BatchDataCaptureConfig dataCaptureConfig)
Configuration to control how SageMaker captures inference data.
dataCaptureConfig - Configuration to control how SageMaker captures inference data.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 via BatchDataCaptureConfig.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and
its result is passed to dataCaptureConfig(BatchDataCaptureConfig).
dataCaptureConfig - a consumer that will call methods on BatchDataCaptureConfig.BuilderdataCaptureConfig(BatchDataCaptureConfig)CreateTransformJobRequest.Builder transformResources(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.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 via TransformResources.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to transformResources(TransformResources).
transformResources - a consumer that will call methods on TransformResources.BuildertransformResources(TransformResources)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.
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.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 via DataProcessing.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to dataProcessing(DataProcessing).
dataProcessing - a consumer that will call methods on DataProcessing.BuilderdataProcessing(DataProcessing)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.
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.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.
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.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
via Tag.builder().
When the Consumer completes,
SdkBuilder.build() is called immediately and its
result is passed to #tags(List.
tags - a consumer that will call methods on
Tag.Builder#tags(java.util.Collection) CreateTransformJobRequest.Builder experimentConfig(ExperimentConfig experimentConfig)
experimentConfig - The new value for the ExperimentConfig property for this object.default CreateTransformJobRequest.Builder experimentConfig(Consumer<ExperimentConfig.Builder> experimentConfig)
ExperimentConfig.Builder avoiding the
need to create one manually via ExperimentConfig.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to experimentConfig(ExperimentConfig).
experimentConfig - a consumer that will call methods on ExperimentConfig.BuilderexperimentConfig(ExperimentConfig)CreateTransformJobRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
overrideConfiguration in interface AwsRequest.BuilderCreateTransformJobRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
overrideConfiguration in interface AwsRequest.BuilderCopyright © 2023. All rights reserved.