Class GetTrainedModelInferenceJobResponse
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<GetTrainedModelInferenceJobResponse.Builder,
GetTrainedModelInferenceJobResponse>
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()
final String
The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.The execution parameters for the model inference job container.final Instant
The time at which the trained model inference job was created.final ModelInferenceDataSource
The data source that was used for the trained model inference job.final String
The description of the trained model inference job.The environment variables to set in the Docker container.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 extendsSdkResponse
.final boolean
For responses, this returns true if the service returned a value for the Environment property.final int
hashCode()
final boolean
hasTags()
For responses, this returns true if the service returned a value for the Tags property.final String
Information about the training container image.final String
The Amazon Resource Name (ARN) of the KMS key.final LogsStatus
The logs status for the trained model inference job.final String
The logs status for the trained model inference job.final String
Details about the logs status for the trained model inference job.final String
The membership ID of the membership that contains the trained model inference job.final MetricsStatus
The metrics status for the trained model inference job.final String
The metrics status for the trained model inference job.final String
Details about the metrics status for the trained model inference job.final String
name()
The name of the trained model inference job.The output configuration information for the trained model inference job.final InferenceResourceConfig
The resource configuration information for the trained model inference job.static Class
<? extends GetTrainedModelInferenceJobResponse.Builder> status()
The status of the trained model inference job.final String
The status of the trained model inference job.final StatusDetails
Returns the value of the StatusDetails property for this object.tags()
The optional metadata that you applied to the resource to help you categorize and organize them.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 String
The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.final String
The Amazon Resource Name (ARN) of the trained model inference job.final String
The version identifier of the trained model used for this inference job.final Instant
The most recent time at which the trained model inference job was updated.Methods inherited from class software.amazon.awssdk.services.cleanroomsml.model.CleanRoomsMlResponse
responseMetadata
Methods inherited from class software.amazon.awssdk.core.SdkResponse
sdkHttpResponse
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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createTime
The time at which the trained model inference job was created.
- Returns:
- The time at which the trained model inference job was created.
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updateTime
The most recent time at which the trained model inference job was updated.
- Returns:
- The most recent time at which the trained model inference job was updated.
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trainedModelInferenceJobArn
The Amazon Resource Name (ARN) of the trained model inference job.
- Returns:
- The Amazon Resource Name (ARN) of the trained model inference job.
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configuredModelAlgorithmAssociationArn
The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.
- Returns:
- The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.
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name
The name of the trained model inference job.
- Returns:
- The name of the trained model inference job.
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status
The status of the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
status
will returnTrainedModelInferenceJobStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- The status of the trained model inference job.
- See Also:
-
statusAsString
The status of the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
status
will returnTrainedModelInferenceJobStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- The status of the trained model inference job.
- See Also:
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trainedModelArn
The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.
- Returns:
- The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.
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trainedModelVersionIdentifier
The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.
- Returns:
- The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.
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resourceConfig
The resource configuration information for the trained model inference job.
- Returns:
- The resource configuration information for the trained model inference job.
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outputConfiguration
The output configuration information for the trained model inference job.
- Returns:
- The output configuration information for the trained model inference job.
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membershipIdentifier
The membership ID of the membership that contains the trained model inference job.
- Returns:
- The membership ID of the membership that contains the trained model inference job.
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dataSource
The data source that was used for the trained model inference job.
- Returns:
- The data source that was used for the trained model inference job.
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containerExecutionParameters
The execution parameters for the model inference job container.
- Returns:
- The execution parameters for the model inference job container.
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statusDetails
Returns the value of the StatusDetails property for this object.- Returns:
- The value of the StatusDetails property for this object.
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description
The description of the trained model inference job.
- Returns:
- The description of the trained model inference job.
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inferenceContainerImageDigest
Information about the training container image.
- Returns:
- Information about the training container image.
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hasEnvironment
public final boolean hasEnvironment()For responses, this returns true if the service returned a value for the Environment 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. -
environment
The environment variables to set in the Docker container.
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
hasEnvironment()
method.- Returns:
- The environment variables to set in the Docker container.
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kmsKeyArn
The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.
- Returns:
- The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.
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metricsStatus
The metrics status for the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
metricsStatus
will returnMetricsStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available frommetricsStatusAsString()
.- Returns:
- The metrics status for the trained model inference job.
- See Also:
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metricsStatusAsString
The metrics status for the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
metricsStatus
will returnMetricsStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available frommetricsStatusAsString()
.- Returns:
- The metrics status for the trained model inference job.
- See Also:
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metricsStatusDetails
Details about the metrics status for the trained model inference job.
- Returns:
- Details about the metrics status for the trained model inference job.
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logsStatus
The logs status for the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
logsStatus
will returnLogsStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromlogsStatusAsString()
.- Returns:
- The logs status for the trained model inference job.
- See Also:
-
logsStatusAsString
The logs status for the trained model inference job.
If the service returns an enum value that is not available in the current SDK version,
logsStatus
will returnLogsStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromlogsStatusAsString()
.- Returns:
- The logs status for the trained model inference job.
- See Also:
-
logsStatusDetails
Details about the logs status for the trained model inference job.
- Returns:
- Details about the logs status for the trained model inference job.
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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
The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
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Maximum number of tags per resource - 50.
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For each resource, each tag key must be unique, and each tag key can have only one value.
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Maximum key length - 128 Unicode characters in UTF-8.
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Maximum value length - 256 Unicode characters in UTF-8.
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If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
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Tag keys and values are case sensitive.
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Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
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:
- The optional metadata that you applied to the resource to help you categorize and organize them. Each tag
consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
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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<GetTrainedModelInferenceJobResponse.Builder,
GetTrainedModelInferenceJobResponse> - Specified by:
toBuilder
in classAwsResponse
- Returns:
- a builder for type T
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builder
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serializableBuilderClass
public static Class<? extends GetTrainedModelInferenceJobResponse.Builder> serializableBuilderClass() -
hashCode
public final int hashCode()- Overrides:
hashCode
in classAwsResponse
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equals
- Overrides:
equals
in classAwsResponse
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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
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getValueForField
Description copied from class:SdkResponse
Used to retrieve the value of a field from any class that extendsSdkResponse
. 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, theSdkResponse.getValueForField(String, Class)
method will again be available.- Overrides:
getValueForField
in classSdkResponse
- 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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sdkFieldNameToField
- Specified by:
sdkFieldNameToField
in interfaceSdkPojo
- Returns:
- The mapping between the field name and its corresponding field.
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