@Generated(value="software.amazon.awssdk:codegen") public final class DescribeInferenceExperimentResponse extends SageMakerResponse implements ToCopyableBuilder<DescribeInferenceExperimentResponse.Builder,DescribeInferenceExperimentResponse>
| Modifier and Type | Class and Description |
|---|---|
static interface |
DescribeInferenceExperimentResponse.Builder |
| Modifier and Type | Method and Description |
|---|---|
String |
arn()
The ARN of the inference experiment being described.
|
static DescribeInferenceExperimentResponse.Builder |
builder() |
Instant |
completionTime()
The timestamp at which the inference experiment was completed.
|
Instant |
creationTime()
The timestamp at which you created the inference experiment.
|
InferenceExperimentDataStorageConfig |
dataStorageConfig()
The Amazon S3 location and configuration for storing inference request and response data.
|
String |
description()
The description of the inference experiment.
|
EndpointMetadata |
endpointMetadata()
The metadata of the endpoint on which the inference experiment ran.
|
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
boolean |
hasModelVariants()
For responses, this returns true if the service returned a value for the ModelVariants property.
|
String |
kmsKey()
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
|
Instant |
lastModifiedTime()
The timestamp at which you last modified the inference experiment.
|
List<ModelVariantConfigSummary> |
modelVariants()
An array of
ModelVariantConfigSummary objects. |
String |
name()
The name of the inference experiment.
|
String |
roleArn()
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
|
InferenceExperimentSchedule |
schedule()
The duration for which the inference experiment ran or will run.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends DescribeInferenceExperimentResponse.Builder> |
serializableBuilderClass() |
ShadowModeConfig |
shadowModeConfig()
The configuration of
ShadowMode inference experiment type, which shows the production variant that
takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests. |
InferenceExperimentStatus |
status()
The status of the inference experiment.
|
String |
statusAsString()
The status of the inference experiment.
|
String |
statusReason()
The error message or client-specified
Reason from the StopInferenceExperiment API, that explains the status of the inference experiment. |
DescribeInferenceExperimentResponse.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
InferenceExperimentType |
type()
The type of the inference experiment.
|
String |
typeAsString()
The type of the inference experiment.
|
responseMetadatasdkHttpResponseclone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String arn()
The ARN of the inference experiment being described.
public final String name()
The name of the inference experiment.
public final InferenceExperimentType type()
The type of the inference experiment.
If the service returns an enum value that is not available in the current SDK version, type will return
InferenceExperimentType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
typeAsString().
InferenceExperimentTypepublic final String typeAsString()
The type of the inference experiment.
If the service returns an enum value that is not available in the current SDK version, type will return
InferenceExperimentType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
typeAsString().
InferenceExperimentTypepublic final InferenceExperimentSchedule schedule()
The duration for which the inference experiment ran or will run.
public final InferenceExperimentStatus status()
The status of the inference experiment. The following are the possible statuses for an inference experiment:
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the
experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
If the service returns an enum value that is not available in the current SDK version, status will
return InferenceExperimentStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is
available from statusAsString().
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the
experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as
cancelled.
InferenceExperimentStatuspublic final String statusAsString()
The status of the inference experiment. The following are the possible statuses for an inference experiment:
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the
experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
If the service returns an enum value that is not available in the current SDK version, status will
return InferenceExperimentStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is
available from statusAsString().
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the
experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as
cancelled.
InferenceExperimentStatuspublic final String statusReason()
The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.public final String description()
The description of the inference experiment.
public final Instant creationTime()
The timestamp at which you created the inference experiment.
public final Instant completionTime()
The timestamp at which the inference experiment was completed.
public final Instant lastModifiedTime()
The timestamp at which you last modified the inference experiment.
public final String roleArn()
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
public final EndpointMetadata endpointMetadata()
The metadata of the endpoint on which the inference experiment ran.
public final boolean hasModelVariants()
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<ModelVariantConfigSummary> modelVariants()
An array of ModelVariantConfigSummary objects. There is one for each variant in the inference
experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure
configuration for deploying the corresponding variant.
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 hasModelVariants() method.
ModelVariantConfigSummary objects. There is one for each variant in the
inference experiment. Each ModelVariantConfigSummary object in the array describes the
infrastructure configuration for deploying the corresponding variant.public final InferenceExperimentDataStorageConfig dataStorageConfig()
The Amazon S3 location and configuration for storing inference request and response data.
public final ShadowModeConfig shadowModeConfig()
The configuration of ShadowMode inference experiment type, which shows the production variant that
takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker
replicates.
ShadowMode inference experiment type, which shows the production
variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker
replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of
requests that Amazon SageMaker replicates.public final String kmsKey()
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
public DescribeInferenceExperimentResponse.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<DescribeInferenceExperimentResponse.Builder,DescribeInferenceExperimentResponse>toBuilder in class AwsResponsepublic static DescribeInferenceExperimentResponse.Builder builder()
public static Class<? extends DescribeInferenceExperimentResponse.Builder> serializableBuilderClass()
public final int hashCode()
hashCode in class AwsResponsepublic final boolean equals(Object obj)
equals in class AwsResponsepublic 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 SdkResponseCopyright © 2023. All rights reserved.