@Generated(value="software.amazon.awssdk:codegen") public final class CreateAlgorithmRequest extends SageMakerRequest implements ToCopyableBuilder<CreateAlgorithmRequest.Builder,CreateAlgorithmRequest>
| Modifier and Type | Class and Description |
|---|---|
static interface |
CreateAlgorithmRequest.Builder |
| Modifier and Type | Method and Description |
|---|---|
String |
algorithmDescription()
A description of the algorithm.
|
String |
algorithmName()
The name of the algorithm.
|
static CreateAlgorithmRequest.Builder |
builder() |
Boolean |
certifyForMarketplace()
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
boolean |
hasTags()
For responses, this returns true if the service returned a value for the Tags property.
|
InferenceSpecification |
inferenceSpecification()
Specifies details about inference jobs that the algorithm runs, including the following:
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends CreateAlgorithmRequest.Builder> |
serializableBuilderClass() |
List<Tag> |
tags()
An array of key-value pairs.
|
CreateAlgorithmRequest.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
TrainingSpecification |
trainingSpecification()
Specifies details about training jobs run by this algorithm, including the following:
|
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.
|
overrideConfigurationclone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String algorithmName()
The name of the algorithm.
public final String algorithmDescription()
A description of the algorithm.
public final 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.
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.
public final 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.
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.
public final 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.
public final Boolean certifyForMarketplace()
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
public final boolean hasTags()
isEmpty() method on the property). This is useful
because the SDK will never return a null collection or map, but you may need to differentiate between the service
returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true
if a value for the property was specified in the request builder, and false if a value was not specified.public final List<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.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasTags() method.
public CreateAlgorithmRequest.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<CreateAlgorithmRequest.Builder,CreateAlgorithmRequest>toBuilder in class SageMakerRequestpublic static CreateAlgorithmRequest.Builder builder()
public static Class<? extends CreateAlgorithmRequest.Builder> serializableBuilderClass()
public final int hashCode()
hashCode in class AwsRequestpublic final boolean equals(Object obj)
equals in class AwsRequestpublic final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
public final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz)
getValueForField in class SdkRequestCopyright © 2022. All rights reserved.