software.amazon.awssdk.services.sagemaker.model

Interface RecommendationJobContainerConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<RecommendationJobContainerConfig.Builder,RecommendationJobContainerConfig>, SdkBuilder<RecommendationJobContainerConfig.Builder,RecommendationJobContainerConfig>, SdkPojo

Enclosing class:

RecommendationJobContainerConfig

public static interface RecommendationJobContainerConfig.Builder
extends SdkPojo, CopyableBuilder<RecommendationJobContainerConfig.Builder,RecommendationJobContainerConfig>

Method Summary

Modifier and Type	Method and Description
RecommendationJobContainerConfig.Builder	dataInputConfig(String dataInputConfig) Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
RecommendationJobContainerConfig.Builder	domain(String domain) The machine learning domain of the model and its components.
RecommendationJobContainerConfig.Builder	framework(String framework) The machine learning framework of the container image.
RecommendationJobContainerConfig.Builder	frameworkVersion(String frameworkVersion) The framework version of the container image.
RecommendationJobContainerConfig.Builder	nearestModelName(String nearestModelName) The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
default RecommendationJobContainerConfig.Builder	payloadConfig(Consumer<RecommendationJobPayloadConfig.Builder> payloadConfig) Specifies the SamplePayloadUrl and all other sample payload-related fields.
RecommendationJobContainerConfig.Builder	payloadConfig(RecommendationJobPayloadConfig payloadConfig) Specifies the SamplePayloadUrl and all other sample payload-related fields.
RecommendationJobContainerConfig.Builder	supportedEndpointType(RecommendationJobSupportedEndpointType supportedEndpointType) The endpoint type to receive recommendations for.
RecommendationJobContainerConfig.Builder	supportedEndpointType(String supportedEndpointType) The endpoint type to receive recommendations for.
RecommendationJobContainerConfig.Builder	supportedInstanceTypes(Collection<String> supportedInstanceTypes) A list of the instance types that are used to generate inferences in real-time.
RecommendationJobContainerConfig.Builder	supportedInstanceTypes(String... supportedInstanceTypes) A list of the instance types that are used to generate inferences in real-time.
RecommendationJobContainerConfig.Builder	supportedResponseMIMETypes(Collection<String> supportedResponseMIMETypes) The supported MIME types for the output data.
RecommendationJobContainerConfig.Builder	supportedResponseMIMETypes(String... supportedResponseMIMETypes) The supported MIME types for the output data.
RecommendationJobContainerConfig.Builder	task(String task) The machine learning task that the model accomplishes.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

domain

RecommendationJobContainerConfig.Builder domain(String domain)

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

Parameters:

domain - The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

Returns:

Returns a reference to this object so that method calls can be chained together.

task

RecommendationJobContainerConfig.Builder task(String task)

The machine learning task that the model accomplishes.

Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

Parameters:

task - The machine learning task that the model accomplishes.

Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

Returns:

Returns a reference to this object so that method calls can be chained together.

framework

RecommendationJobContainerConfig.Builder framework(String framework)

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

Parameters:

framework - The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

Returns:

Returns a reference to this object so that method calls can be chained together.

frameworkVersion

RecommendationJobContainerConfig.Builder frameworkVersion(String frameworkVersion)

The framework version of the container image.

Parameters:

frameworkVersion - The framework version of the container image.

Returns:

Returns a reference to this object so that method calls can be chained together.

payloadConfig

RecommendationJobContainerConfig.Builder payloadConfig(RecommendationJobPayloadConfig payloadConfig)

Specifies the SamplePayloadUrl and all other sample payload-related fields.

Parameters:

payloadConfig - Specifies the SamplePayloadUrl and all other sample payload-related fields.

Returns:

Returns a reference to this object so that method calls can be chained together.

payloadConfig

default RecommendationJobContainerConfig.Builder payloadConfig(Consumer<RecommendationJobPayloadConfig.Builder> payloadConfig)

Specifies the SamplePayloadUrl and all other sample payload-related fields.

This is a convenience method that creates an instance of the RecommendationJobPayloadConfig.Builder avoiding the need to create one manually via RecommendationJobPayloadConfig.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to payloadConfig(RecommendationJobPayloadConfig).

Parameters:

payloadConfig - a consumer that will call methods on RecommendationJobPayloadConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

payloadConfig(RecommendationJobPayloadConfig)

nearestModelName

RecommendationJobContainerConfig.Builder nearestModelName(String nearestModelName)

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet

Parameters:

nearestModelName - The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet

Returns:

Returns a reference to this object so that method calls can be chained together.

supportedInstanceTypes

RecommendationJobContainerConfig.Builder supportedInstanceTypes(Collection<String> supportedInstanceTypes)

A list of the instance types that are used to generate inferences in real-time.

Parameters:

supportedInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

Returns:

Returns a reference to this object so that method calls can be chained together.

supportedInstanceTypes

RecommendationJobContainerConfig.Builder supportedInstanceTypes(String... supportedInstanceTypes)

A list of the instance types that are used to generate inferences in real-time.

Parameters:

supportedInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

Returns:

Returns a reference to this object so that method calls can be chained together.

dataInputConfig

RecommendationJobContainerConfig.Builder dataInputConfig(String dataInputConfig)

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

Parameters:

dataInputConfig - Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

Returns:

Returns a reference to this object so that method calls can be chained together.

supportedEndpointType

RecommendationJobContainerConfig.Builder supportedEndpointType(String supportedEndpointType)

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

Parameters:

supportedEndpointType - The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

RecommendationJobSupportedEndpointType, RecommendationJobSupportedEndpointType

supportedEndpointType

RecommendationJobContainerConfig.Builder supportedEndpointType(RecommendationJobSupportedEndpointType supportedEndpointType)

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

Parameters:

supportedEndpointType - The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

RecommendationJobSupportedEndpointType, RecommendationJobSupportedEndpointType

supportedResponseMIMETypes

RecommendationJobContainerConfig.Builder supportedResponseMIMETypes(Collection<String> supportedResponseMIMETypes)

The supported MIME types for the output data.

Parameters:

supportedResponseMIMETypes - The supported MIME types for the output data.

Returns:

Returns a reference to this object so that method calls can be chained together.

supportedResponseMIMETypes

RecommendationJobContainerConfig.Builder supportedResponseMIMETypes(String... supportedResponseMIMETypes)

The supported MIME types for the output data.

Parameters:

supportedResponseMIMETypes - The supported MIME types for the output data.

Returns:

Returns a reference to this object so that method calls can be chained together.