public static interface CreateAlgorithmRequest.Builder extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder<CreateAlgorithmRequest.Builder,CreateAlgorithmRequest>
| Modifier and Type | Method and Description |
|---|---|
CreateAlgorithmRequest.Builder |
algorithmDescription(String algorithmDescription)
A description of the algorithm.
|
CreateAlgorithmRequest.Builder |
algorithmName(String algorithmName)
The name of the algorithm.
|
CreateAlgorithmRequest.Builder |
certifyForMarketplace(Boolean certifyForMarketplace)
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
|
default CreateAlgorithmRequest.Builder |
inferenceSpecification(Consumer<InferenceSpecification.Builder> inferenceSpecification)
Specifies details about inference jobs that the algorithm runs, including the following:
|
CreateAlgorithmRequest.Builder |
inferenceSpecification(InferenceSpecification inferenceSpecification)
Specifies details about inference jobs that the algorithm runs, including the following:
|
CreateAlgorithmRequest.Builder |
overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
CreateAlgorithmRequest.Builder |
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
CreateAlgorithmRequest.Builder |
tags(Collection<Tag> tags)
An array of key-value pairs.
|
CreateAlgorithmRequest.Builder |
tags(Consumer<Tag.Builder>... tags)
An array of key-value pairs.
|
CreateAlgorithmRequest.Builder |
tags(Tag... tags)
An array of key-value pairs.
|
default CreateAlgorithmRequest.Builder |
trainingSpecification(Consumer<TrainingSpecification.Builder> trainingSpecification)
Specifies details about training jobs run by this algorithm, including the following:
|
CreateAlgorithmRequest.Builder |
trainingSpecification(TrainingSpecification trainingSpecification)
Specifies details about training jobs run by this algorithm, including the following:
|
CreateAlgorithmRequest.Builder |
validationSpecification(AlgorithmValidationSpecification validationSpecification)
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's
inference code.
|
default CreateAlgorithmRequest.Builder |
validationSpecification(Consumer<AlgorithmValidationSpecification.Builder> validationSpecification)
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's
inference code.
|
buildoverrideConfigurationequalsBySdkFields, sdkFieldscopyapplyMutation, buildCreateAlgorithmRequest.Builder algorithmName(String algorithmName)
The name of the algorithm.
algorithmName - The name of the algorithm.CreateAlgorithmRequest.Builder algorithmDescription(String algorithmDescription)
A description of the algorithm.
algorithmDescription - A description of the algorithm.CreateAlgorithmRequest.Builder trainingSpecification(TrainingSpecification trainingSpecification)
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support
train, validation, and test channels.
trainingSpecification - Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might
support train, validation, and test channels.
default CreateAlgorithmRequest.Builder trainingSpecification(Consumer<TrainingSpecification.Builder> trainingSpecification)
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support
train, validation, and test channels.
TrainingSpecification.Builder avoiding
the need to create one manually via TrainingSpecification.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and
its result is passed to trainingSpecification(TrainingSpecification).
trainingSpecification - a consumer that will call methods on TrainingSpecification.BuildertrainingSpecification(TrainingSpecification)CreateAlgorithmRequest.Builder inferenceSpecification(InferenceSpecification inferenceSpecification)
Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
inferenceSpecification - Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
default CreateAlgorithmRequest.Builder inferenceSpecification(Consumer<InferenceSpecification.Builder> inferenceSpecification)
Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
InferenceSpecification.Builder avoiding
the need to create one manually via InferenceSpecification.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and
its result is passed to inferenceSpecification(InferenceSpecification).
inferenceSpecification - a consumer that will call methods on InferenceSpecification.BuilderinferenceSpecification(InferenceSpecification)CreateAlgorithmRequest.Builder validationSpecification(AlgorithmValidationSpecification validationSpecification)
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.
validationSpecification - Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's
training code and, optionally, one or more batch transform jobs that SageMaker runs to test the
algorithm's inference code.default CreateAlgorithmRequest.Builder validationSpecification(Consumer<AlgorithmValidationSpecification.Builder> validationSpecification)
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.
This is a convenience method that creates an instance of theAlgorithmValidationSpecification.Builder
avoiding the need to create one manually via AlgorithmValidationSpecification.builder().
When the Consumer completes, SdkBuilder.build() is called
immediately and its result is passed to validationSpecification(AlgorithmValidationSpecification).
validationSpecification - a consumer that will call methods on AlgorithmValidationSpecification.BuildervalidationSpecification(AlgorithmValidationSpecification)CreateAlgorithmRequest.Builder certifyForMarketplace(Boolean certifyForMarketplace)
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
certifyForMarketplace - Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.CreateAlgorithmRequest.Builder tags(Collection<Tag> tags)
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in
different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services
Resources.CreateAlgorithmRequest.Builder tags(Tag... tags)
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in
different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services
Resources.CreateAlgorithmRequest.Builder tags(Consumer<Tag.Builder>... tags)
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
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) CreateAlgorithmRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
overrideConfiguration in interface AwsRequest.BuilderCreateAlgorithmRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
overrideConfiguration in interface AwsRequest.BuilderCopyright © 2023. All rights reserved.