Class CreateInferenceExperimentRequest
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<CreateInferenceExperimentRequest.Builder,
CreateInferenceExperimentRequest>
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
The Amazon S3 location and configuration for storing inference request and response data.final String
A description for the inference experiment.final String
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest
.final int
hashCode()
final boolean
For responses, this returns true if the service returned a value for the ModelVariants property.final boolean
hasTags()
For responses, this returns true if the service returned a value for the Tags property.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.final List
<ModelVariantConfig> An array ofModelVariantConfig
objects.final String
name()
The name for the inference experiment.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.schedule()
The duration for which you want the inference experiment to run.static Class
<? extends CreateInferenceExperimentRequest.Builder> final ShadowModeConfig
The configuration ofShadowMode
inference experiment type.tags()
Array of key-value pairs.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.final InferenceExperimentType
type()
The type of the inference experiment that you want to run.final String
The type of the inference experiment that you want to run.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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name
The name for the inference experiment.
- Returns:
- The name for the inference experiment.
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type
The type of the inference experiment that you want to run. The following types of experiments are possible:
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ShadowMode
: You can use this type to validate a shadow variant. For more information, see Shadow tests.
If the service returns an enum value that is not available in the current SDK version,
type
will returnInferenceExperimentType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromtypeAsString()
.- Returns:
- The type of the inference experiment that you want to run. The following types of experiments are
possible:
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ShadowMode
: You can use this type to validate a shadow variant. For more information, see Shadow tests.
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- See Also:
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typeAsString
The type of the inference experiment that you want to run. The following types of experiments are possible:
-
ShadowMode
: You can use this type to validate a shadow variant. For more information, see Shadow tests.
If the service returns an enum value that is not available in the current SDK version,
type
will returnInferenceExperimentType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromtypeAsString()
.- Returns:
- The type of the inference experiment that you want to run. The following types of experiments are
possible:
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ShadowMode
: You can use this type to validate a shadow variant. For more information, see Shadow tests.
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- See Also:
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schedule
The duration for which you want the inference experiment to run. If you don't specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.
- Returns:
- The duration for which you want the inference experiment to run. If you don't specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.
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description
A description for the inference experiment.
- Returns:
- A description for the inference experiment.
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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.
- Returns:
- 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.
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endpointName
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
- Returns:
- The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
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hasModelVariants
public final boolean hasModelVariants()For responses, this returns true if the service returned a value for the ModelVariants property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
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. -
modelVariants
An array of
ModelVariantConfig
objects. There is one for each variant in the inference experiment. EachModelVariantConfig
object in the array describes the infrastructure configuration for 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.- Returns:
- An array of
ModelVariantConfig
objects. There is one for each variant in the inference experiment. EachModelVariantConfig
object in the array describes the infrastructure configuration for the corresponding variant.
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dataStorageConfig
The Amazon S3 location and configuration for storing inference request and response data.
This is an optional parameter that you can use for data capture. For more information, see Capture data.
- Returns:
- The Amazon S3 location and configuration for storing inference request and response data.
This is an optional parameter that you can use for data capture. For more information, see Capture data.
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shadowModeConfig
The configuration of
ShadowMode
inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.- Returns:
- The configuration of
ShadowMode
inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.
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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. The
KmsKey
can be any of the following formats:-
KMS key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
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Amazon Resource Name (ARN) of a KMS key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
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KMS key Alias
"alias/ExampleAlias"
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Amazon Resource Name (ARN) of a KMS key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call
kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS managed keys forOutputDataConfig
. If you use a bucket policy with ans3:PutObject
permission that only allows objects with server-side encryption, set the condition key ofs3:x-amz-server-side-encryption
to"aws:kms"
. For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.The KMS key policy must grant permission to the IAM role that you specify in your
CreateEndpoint
andUpdateEndpoint
requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.- Returns:
- 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. The
KmsKey
can be any of the following formats:-
KMS key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
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KMS key Alias
"alias/ExampleAlias"
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Amazon Resource Name (ARN) of a KMS key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call
kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS managed keys forOutputDataConfig
. If you use a bucket policy with ans3:PutObject
permission that only allows objects with server-side encryption, set the condition key ofs3:x-amz-server-side-encryption
to"aws:kms"
. For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.The KMS key policy must grant permission to the IAM role that you specify in your
CreateEndpoint
andUpdateEndpoint
requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide. -
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hasTags
public final boolean hasTags()For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
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. -
tags
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 your 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.- Returns:
- 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 your Amazon Web Services Resources.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<CreateInferenceExperimentRequest.Builder,
CreateInferenceExperimentRequest> - Specified by:
toBuilder
in classSageMakerRequest
- Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCode
in classAwsRequest
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equals
- Overrides:
equals
in classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value. -
getValueForField
Description copied from class:SdkRequest
Used to retrieve the value of a field from any class that extendsSdkRequest
. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)
method will again be available.- Overrides:
getValueForField
in classSdkRequest
- Parameters:
fieldName
- The name of the member to be retrieved.clazz
- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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