Class: Aws::SageMaker::Types::CreateTransformJobRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::CreateTransformJobRequest
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#batch_strategy ⇒ String
Specifies the number of records to include in a mini-batch for an HTTP inference request.
-
#data_capture_config ⇒ Types::BatchDataCaptureConfig
Configuration to control how SageMaker captures inference data.
-
#data_processing ⇒ Types::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.
-
#environment ⇒ Hash<String,String>
The environment variables to set in the Docker container.
-
#experiment_config ⇒ Types::ExperimentConfig
Associates a SageMaker job as a trial component with an experiment and trial.
-
#max_concurrent_transforms ⇒ Integer
The maximum number of parallel requests that can be sent to each instance in a transform job.
-
#max_payload_in_mb ⇒ Integer
The maximum allowed size of the payload, in MB.
-
#model_client_config ⇒ Types::ModelClientConfig
Configures the timeout and maximum number of retries for processing a transform job invocation.
-
#model_name ⇒ String
The name of the model that you want to use for the transform job.
-
#tags ⇒ Array<Types::Tag>
(Optional) An array of key-value pairs.
-
#transform_input ⇒ Types::TransformInput
Describes the input source and the way the transform job consumes it.
-
#transform_job_name ⇒ String
The name of the transform job.
-
#transform_output ⇒ Types::TransformOutput
Describes the results of the transform job.
-
#transform_resources ⇒ Types::TransformResources
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
Instance Attribute Details
#batch_strategy ⇒ String
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`.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#data_capture_config ⇒ Types::BatchDataCaptureConfig
Configuration to control how SageMaker captures inference data.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#data_processing ⇒ Types::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].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#environment ⇒ Hash<String,String>
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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#experiment_config ⇒ Types::ExperimentConfig
Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
- CreateProcessingJob][1
- CreateTrainingJob][2
- CreateTransformJob][3
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html [2]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html [3]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#max_concurrent_transforms ⇒ Integer
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`.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#max_payload_in_mb ⇒ Integer
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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#model_client_config ⇒ Types::ModelClientConfig
Configures the timeout and maximum number of retries for processing a transform job invocation.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#tags ⇒ Array<Types::Tag>
(Optional) An array of key-value pairs. For more information, see
- Using Cost Allocation Tags][1
-
in the *Amazon Web Services Billing
and Cost Management User Guide*.
[1]: docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_input ⇒ Types::TransformInput
Describes the input source and the way the transform job consumes it.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_job_name ⇒ String
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_output ⇒ Types::TransformOutput
Describes the results of the transform job.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_resources ⇒ Types::TransformResources
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 9983 class CreateTransformJobRequest < Struct.new( :transform_job_name, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :data_processing, :tags, :experiment_config) SENSITIVE = [] include Aws::Structure end |