amazonka-sagemaker-2.0: gen/Amazonka/SageMaker/Types/ModelPackage.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.SageMaker.Types.ModelPackage
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.SageMaker.Types.ModelPackage where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
import Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition
import Amazonka.SageMaker.Types.DriftCheckBaselines
import Amazonka.SageMaker.Types.InferenceSpecification
import Amazonka.SageMaker.Types.MetadataProperties
import Amazonka.SageMaker.Types.ModelApprovalStatus
import Amazonka.SageMaker.Types.ModelMetrics
import Amazonka.SageMaker.Types.ModelPackageStatus
import Amazonka.SageMaker.Types.ModelPackageStatusDetails
import Amazonka.SageMaker.Types.ModelPackageValidationSpecification
import Amazonka.SageMaker.Types.SourceAlgorithmSpecification
import Amazonka.SageMaker.Types.Tag
import Amazonka.SageMaker.Types.UserContext
-- | A versioned model that can be deployed for SageMaker inference.
--
-- /See:/ 'newModelPackage' smart constructor.
data ModelPackage = ModelPackage'
{ -- | An array of additional Inference Specification objects.
additionalInferenceSpecifications :: Prelude.Maybe (Prelude.NonEmpty AdditionalInferenceSpecificationDefinition),
-- | A description provided when the model approval is set.
approvalDescription :: Prelude.Maybe Prelude.Text,
-- | Whether the model package is to be certified to be listed on Amazon Web
-- Services Marketplace. For information about listing model packages on
-- Amazon Web Services Marketplace, see
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-mkt-list.html List Your Algorithm or Model Package on Amazon Web Services Marketplace>.
certifyForMarketplace :: Prelude.Maybe Prelude.Bool,
-- | Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
createdBy :: Prelude.Maybe UserContext,
-- | The time that the model package was created.
creationTime :: Prelude.Maybe Data.POSIX,
-- | The metadata properties for the model package.
customerMetadataProperties :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text),
-- | The machine learning domain of your model package and its components.
-- Common machine learning domains include computer vision and natural
-- language processing.
domain :: Prelude.Maybe Prelude.Text,
-- | Represents the drift check baselines that can be used when the model
-- monitor is set using the model package.
driftCheckBaselines :: Prelude.Maybe DriftCheckBaselines,
-- | Defines how to perform inference generation after a training job is run.
inferenceSpecification :: Prelude.Maybe InferenceSpecification,
-- | Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
lastModifiedBy :: Prelude.Maybe UserContext,
-- | The last time the model package was modified.
lastModifiedTime :: Prelude.Maybe Data.POSIX,
-- | Metadata properties of the tracking entity, trial, or trial component.
metadataProperties :: Prelude.Maybe MetadataProperties,
-- | The approval status of the model. This can be one of the following
-- values.
--
-- - @APPROVED@ - The model is approved
--
-- - @REJECTED@ - The model is rejected.
--
-- - @PENDING_MANUAL_APPROVAL@ - The model is waiting for manual
-- approval.
modelApprovalStatus :: Prelude.Maybe ModelApprovalStatus,
-- | Metrics for the model.
modelMetrics :: Prelude.Maybe ModelMetrics,
-- | The Amazon Resource Name (ARN) of the model package.
modelPackageArn :: Prelude.Maybe Prelude.Text,
-- | The description of the model package.
modelPackageDescription :: Prelude.Maybe Prelude.Text,
-- | The model group to which the model belongs.
modelPackageGroupName :: Prelude.Maybe Prelude.Text,
-- | The name of the model.
modelPackageName :: Prelude.Maybe Prelude.Text,
-- | The status of the model package. This can be one of the following
-- values.
--
-- - @PENDING@ - The model package is pending being created.
--
-- - @IN_PROGRESS@ - The model package is in the process of being
-- created.
--
-- - @COMPLETED@ - The model package was successfully created.
--
-- - @FAILED@ - The model package failed.
--
-- - @DELETING@ - The model package is in the process of being deleted.
modelPackageStatus :: Prelude.Maybe ModelPackageStatus,
-- | Specifies the validation and image scan statuses of the model package.
modelPackageStatusDetails :: Prelude.Maybe ModelPackageStatusDetails,
-- | The version number of a versioned model.
modelPackageVersion :: Prelude.Maybe Prelude.Natural,
-- | The Amazon Simple Storage Service path where the sample payload are
-- stored. This path must point to a single gzip compressed tar archive
-- (.tar.gz suffix).
samplePayloadUrl :: Prelude.Maybe Prelude.Text,
-- | A list of algorithms that were used to create a model package.
sourceAlgorithmSpecification :: Prelude.Maybe SourceAlgorithmSpecification,
-- | A list of the tags associated with the model package. For more
-- information, see
-- <https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html Tagging Amazon Web Services resources>
-- in the /Amazon Web Services General Reference Guide/.
tags :: Prelude.Maybe [Tag],
-- | The machine learning task your model package accomplishes. Common
-- machine learning tasks include object detection and image
-- classification.
task :: Prelude.Maybe Prelude.Text,
-- | Specifies batch transform jobs that SageMaker runs to validate your
-- model package.
validationSpecification :: Prelude.Maybe ModelPackageValidationSpecification
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'ModelPackage' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'additionalInferenceSpecifications', 'modelPackage_additionalInferenceSpecifications' - An array of additional Inference Specification objects.
--
-- 'approvalDescription', 'modelPackage_approvalDescription' - A description provided when the model approval is set.
--
-- 'certifyForMarketplace', 'modelPackage_certifyForMarketplace' - Whether the model package is to be certified to be listed on Amazon Web
-- Services Marketplace. For information about listing model packages on
-- Amazon Web Services Marketplace, see
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-mkt-list.html List Your Algorithm or Model Package on Amazon Web Services Marketplace>.
--
-- 'createdBy', 'modelPackage_createdBy' - Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
--
-- 'creationTime', 'modelPackage_creationTime' - The time that the model package was created.
--
-- 'customerMetadataProperties', 'modelPackage_customerMetadataProperties' - The metadata properties for the model package.
--
-- 'domain', 'modelPackage_domain' - The machine learning domain of your model package and its components.
-- Common machine learning domains include computer vision and natural
-- language processing.
--
-- 'driftCheckBaselines', 'modelPackage_driftCheckBaselines' - Represents the drift check baselines that can be used when the model
-- monitor is set using the model package.
--
-- 'inferenceSpecification', 'modelPackage_inferenceSpecification' - Defines how to perform inference generation after a training job is run.
--
-- 'lastModifiedBy', 'modelPackage_lastModifiedBy' - Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
--
-- 'lastModifiedTime', 'modelPackage_lastModifiedTime' - The last time the model package was modified.
--
-- 'metadataProperties', 'modelPackage_metadataProperties' - Metadata properties of the tracking entity, trial, or trial component.
--
-- 'modelApprovalStatus', 'modelPackage_modelApprovalStatus' - The approval status of the model. This can be one of the following
-- values.
--
-- - @APPROVED@ - The model is approved
--
-- - @REJECTED@ - The model is rejected.
--
-- - @PENDING_MANUAL_APPROVAL@ - The model is waiting for manual
-- approval.
--
-- 'modelMetrics', 'modelPackage_modelMetrics' - Metrics for the model.
--
-- 'modelPackageArn', 'modelPackage_modelPackageArn' - The Amazon Resource Name (ARN) of the model package.
--
-- 'modelPackageDescription', 'modelPackage_modelPackageDescription' - The description of the model package.
--
-- 'modelPackageGroupName', 'modelPackage_modelPackageGroupName' - The model group to which the model belongs.
--
-- 'modelPackageName', 'modelPackage_modelPackageName' - The name of the model.
--
-- 'modelPackageStatus', 'modelPackage_modelPackageStatus' - The status of the model package. This can be one of the following
-- values.
--
-- - @PENDING@ - The model package is pending being created.
--
-- - @IN_PROGRESS@ - The model package is in the process of being
-- created.
--
-- - @COMPLETED@ - The model package was successfully created.
--
-- - @FAILED@ - The model package failed.
--
-- - @DELETING@ - The model package is in the process of being deleted.
--
-- 'modelPackageStatusDetails', 'modelPackage_modelPackageStatusDetails' - Specifies the validation and image scan statuses of the model package.
--
-- 'modelPackageVersion', 'modelPackage_modelPackageVersion' - The version number of a versioned model.
--
-- 'samplePayloadUrl', 'modelPackage_samplePayloadUrl' - The Amazon Simple Storage Service path where the sample payload are
-- stored. This path must point to a single gzip compressed tar archive
-- (.tar.gz suffix).
--
-- 'sourceAlgorithmSpecification', 'modelPackage_sourceAlgorithmSpecification' - A list of algorithms that were used to create a model package.
--
-- 'tags', 'modelPackage_tags' - A list of the tags associated with the model package. For more
-- information, see
-- <https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html Tagging Amazon Web Services resources>
-- in the /Amazon Web Services General Reference Guide/.
--
-- 'task', 'modelPackage_task' - The machine learning task your model package accomplishes. Common
-- machine learning tasks include object detection and image
-- classification.
--
-- 'validationSpecification', 'modelPackage_validationSpecification' - Specifies batch transform jobs that SageMaker runs to validate your
-- model package.
newModelPackage ::
ModelPackage
newModelPackage =
ModelPackage'
{ additionalInferenceSpecifications =
Prelude.Nothing,
approvalDescription = Prelude.Nothing,
certifyForMarketplace = Prelude.Nothing,
createdBy = Prelude.Nothing,
creationTime = Prelude.Nothing,
customerMetadataProperties = Prelude.Nothing,
domain = Prelude.Nothing,
driftCheckBaselines = Prelude.Nothing,
inferenceSpecification = Prelude.Nothing,
lastModifiedBy = Prelude.Nothing,
lastModifiedTime = Prelude.Nothing,
metadataProperties = Prelude.Nothing,
modelApprovalStatus = Prelude.Nothing,
modelMetrics = Prelude.Nothing,
modelPackageArn = Prelude.Nothing,
modelPackageDescription = Prelude.Nothing,
modelPackageGroupName = Prelude.Nothing,
modelPackageName = Prelude.Nothing,
modelPackageStatus = Prelude.Nothing,
modelPackageStatusDetails = Prelude.Nothing,
modelPackageVersion = Prelude.Nothing,
samplePayloadUrl = Prelude.Nothing,
sourceAlgorithmSpecification = Prelude.Nothing,
tags = Prelude.Nothing,
task = Prelude.Nothing,
validationSpecification = Prelude.Nothing
}
-- | An array of additional Inference Specification objects.
modelPackage_additionalInferenceSpecifications :: Lens.Lens' ModelPackage (Prelude.Maybe (Prelude.NonEmpty AdditionalInferenceSpecificationDefinition))
modelPackage_additionalInferenceSpecifications = Lens.lens (\ModelPackage' {additionalInferenceSpecifications} -> additionalInferenceSpecifications) (\s@ModelPackage' {} a -> s {additionalInferenceSpecifications = a} :: ModelPackage) Prelude.. Lens.mapping Lens.coerced
-- | A description provided when the model approval is set.
modelPackage_approvalDescription :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_approvalDescription = Lens.lens (\ModelPackage' {approvalDescription} -> approvalDescription) (\s@ModelPackage' {} a -> s {approvalDescription = a} :: ModelPackage)
-- | Whether the model package is to be certified to be listed on Amazon Web
-- Services Marketplace. For information about listing model packages on
-- Amazon Web Services Marketplace, see
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-mkt-list.html List Your Algorithm or Model Package on Amazon Web Services Marketplace>.
modelPackage_certifyForMarketplace :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Bool)
modelPackage_certifyForMarketplace = Lens.lens (\ModelPackage' {certifyForMarketplace} -> certifyForMarketplace) (\s@ModelPackage' {} a -> s {certifyForMarketplace = a} :: ModelPackage)
-- | Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
modelPackage_createdBy :: Lens.Lens' ModelPackage (Prelude.Maybe UserContext)
modelPackage_createdBy = Lens.lens (\ModelPackage' {createdBy} -> createdBy) (\s@ModelPackage' {} a -> s {createdBy = a} :: ModelPackage)
-- | The time that the model package was created.
modelPackage_creationTime :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.UTCTime)
modelPackage_creationTime = Lens.lens (\ModelPackage' {creationTime} -> creationTime) (\s@ModelPackage' {} a -> s {creationTime = a} :: ModelPackage) Prelude.. Lens.mapping Data._Time
-- | The metadata properties for the model package.
modelPackage_customerMetadataProperties :: Lens.Lens' ModelPackage (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text))
modelPackage_customerMetadataProperties = Lens.lens (\ModelPackage' {customerMetadataProperties} -> customerMetadataProperties) (\s@ModelPackage' {} a -> s {customerMetadataProperties = a} :: ModelPackage) Prelude.. Lens.mapping Lens.coerced
-- | The machine learning domain of your model package and its components.
-- Common machine learning domains include computer vision and natural
-- language processing.
modelPackage_domain :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_domain = Lens.lens (\ModelPackage' {domain} -> domain) (\s@ModelPackage' {} a -> s {domain = a} :: ModelPackage)
-- | Represents the drift check baselines that can be used when the model
-- monitor is set using the model package.
modelPackage_driftCheckBaselines :: Lens.Lens' ModelPackage (Prelude.Maybe DriftCheckBaselines)
modelPackage_driftCheckBaselines = Lens.lens (\ModelPackage' {driftCheckBaselines} -> driftCheckBaselines) (\s@ModelPackage' {} a -> s {driftCheckBaselines = a} :: ModelPackage)
-- | Defines how to perform inference generation after a training job is run.
modelPackage_inferenceSpecification :: Lens.Lens' ModelPackage (Prelude.Maybe InferenceSpecification)
modelPackage_inferenceSpecification = Lens.lens (\ModelPackage' {inferenceSpecification} -> inferenceSpecification) (\s@ModelPackage' {} a -> s {inferenceSpecification = a} :: ModelPackage)
-- | Information about the user who created or modified an experiment, trial,
-- trial component, lineage group, or project.
modelPackage_lastModifiedBy :: Lens.Lens' ModelPackage (Prelude.Maybe UserContext)
modelPackage_lastModifiedBy = Lens.lens (\ModelPackage' {lastModifiedBy} -> lastModifiedBy) (\s@ModelPackage' {} a -> s {lastModifiedBy = a} :: ModelPackage)
-- | The last time the model package was modified.
modelPackage_lastModifiedTime :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.UTCTime)
modelPackage_lastModifiedTime = Lens.lens (\ModelPackage' {lastModifiedTime} -> lastModifiedTime) (\s@ModelPackage' {} a -> s {lastModifiedTime = a} :: ModelPackage) Prelude.. Lens.mapping Data._Time
-- | Metadata properties of the tracking entity, trial, or trial component.
modelPackage_metadataProperties :: Lens.Lens' ModelPackage (Prelude.Maybe MetadataProperties)
modelPackage_metadataProperties = Lens.lens (\ModelPackage' {metadataProperties} -> metadataProperties) (\s@ModelPackage' {} a -> s {metadataProperties = a} :: ModelPackage)
-- | The approval status of the model. This can be one of the following
-- values.
--
-- - @APPROVED@ - The model is approved
--
-- - @REJECTED@ - The model is rejected.
--
-- - @PENDING_MANUAL_APPROVAL@ - The model is waiting for manual
-- approval.
modelPackage_modelApprovalStatus :: Lens.Lens' ModelPackage (Prelude.Maybe ModelApprovalStatus)
modelPackage_modelApprovalStatus = Lens.lens (\ModelPackage' {modelApprovalStatus} -> modelApprovalStatus) (\s@ModelPackage' {} a -> s {modelApprovalStatus = a} :: ModelPackage)
-- | Metrics for the model.
modelPackage_modelMetrics :: Lens.Lens' ModelPackage (Prelude.Maybe ModelMetrics)
modelPackage_modelMetrics = Lens.lens (\ModelPackage' {modelMetrics} -> modelMetrics) (\s@ModelPackage' {} a -> s {modelMetrics = a} :: ModelPackage)
-- | The Amazon Resource Name (ARN) of the model package.
modelPackage_modelPackageArn :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_modelPackageArn = Lens.lens (\ModelPackage' {modelPackageArn} -> modelPackageArn) (\s@ModelPackage' {} a -> s {modelPackageArn = a} :: ModelPackage)
-- | The description of the model package.
modelPackage_modelPackageDescription :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_modelPackageDescription = Lens.lens (\ModelPackage' {modelPackageDescription} -> modelPackageDescription) (\s@ModelPackage' {} a -> s {modelPackageDescription = a} :: ModelPackage)
-- | The model group to which the model belongs.
modelPackage_modelPackageGroupName :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_modelPackageGroupName = Lens.lens (\ModelPackage' {modelPackageGroupName} -> modelPackageGroupName) (\s@ModelPackage' {} a -> s {modelPackageGroupName = a} :: ModelPackage)
-- | The name of the model.
modelPackage_modelPackageName :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_modelPackageName = Lens.lens (\ModelPackage' {modelPackageName} -> modelPackageName) (\s@ModelPackage' {} a -> s {modelPackageName = a} :: ModelPackage)
-- | The status of the model package. This can be one of the following
-- values.
--
-- - @PENDING@ - The model package is pending being created.
--
-- - @IN_PROGRESS@ - The model package is in the process of being
-- created.
--
-- - @COMPLETED@ - The model package was successfully created.
--
-- - @FAILED@ - The model package failed.
--
-- - @DELETING@ - The model package is in the process of being deleted.
modelPackage_modelPackageStatus :: Lens.Lens' ModelPackage (Prelude.Maybe ModelPackageStatus)
modelPackage_modelPackageStatus = Lens.lens (\ModelPackage' {modelPackageStatus} -> modelPackageStatus) (\s@ModelPackage' {} a -> s {modelPackageStatus = a} :: ModelPackage)
-- | Specifies the validation and image scan statuses of the model package.
modelPackage_modelPackageStatusDetails :: Lens.Lens' ModelPackage (Prelude.Maybe ModelPackageStatusDetails)
modelPackage_modelPackageStatusDetails = Lens.lens (\ModelPackage' {modelPackageStatusDetails} -> modelPackageStatusDetails) (\s@ModelPackage' {} a -> s {modelPackageStatusDetails = a} :: ModelPackage)
-- | The version number of a versioned model.
modelPackage_modelPackageVersion :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Natural)
modelPackage_modelPackageVersion = Lens.lens (\ModelPackage' {modelPackageVersion} -> modelPackageVersion) (\s@ModelPackage' {} a -> s {modelPackageVersion = a} :: ModelPackage)
-- | The Amazon Simple Storage Service path where the sample payload are
-- stored. This path must point to a single gzip compressed tar archive
-- (.tar.gz suffix).
modelPackage_samplePayloadUrl :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_samplePayloadUrl = Lens.lens (\ModelPackage' {samplePayloadUrl} -> samplePayloadUrl) (\s@ModelPackage' {} a -> s {samplePayloadUrl = a} :: ModelPackage)
-- | A list of algorithms that were used to create a model package.
modelPackage_sourceAlgorithmSpecification :: Lens.Lens' ModelPackage (Prelude.Maybe SourceAlgorithmSpecification)
modelPackage_sourceAlgorithmSpecification = Lens.lens (\ModelPackage' {sourceAlgorithmSpecification} -> sourceAlgorithmSpecification) (\s@ModelPackage' {} a -> s {sourceAlgorithmSpecification = a} :: ModelPackage)
-- | A list of the tags associated with the model package. For more
-- information, see
-- <https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html Tagging Amazon Web Services resources>
-- in the /Amazon Web Services General Reference Guide/.
modelPackage_tags :: Lens.Lens' ModelPackage (Prelude.Maybe [Tag])
modelPackage_tags = Lens.lens (\ModelPackage' {tags} -> tags) (\s@ModelPackage' {} a -> s {tags = a} :: ModelPackage) Prelude.. Lens.mapping Lens.coerced
-- | The machine learning task your model package accomplishes. Common
-- machine learning tasks include object detection and image
-- classification.
modelPackage_task :: Lens.Lens' ModelPackage (Prelude.Maybe Prelude.Text)
modelPackage_task = Lens.lens (\ModelPackage' {task} -> task) (\s@ModelPackage' {} a -> s {task = a} :: ModelPackage)
-- | Specifies batch transform jobs that SageMaker runs to validate your
-- model package.
modelPackage_validationSpecification :: Lens.Lens' ModelPackage (Prelude.Maybe ModelPackageValidationSpecification)
modelPackage_validationSpecification = Lens.lens (\ModelPackage' {validationSpecification} -> validationSpecification) (\s@ModelPackage' {} a -> s {validationSpecification = a} :: ModelPackage)
instance Data.FromJSON ModelPackage where
parseJSON =
Data.withObject
"ModelPackage"
( \x ->
ModelPackage'
Prelude.<$> (x Data..:? "AdditionalInferenceSpecifications")
Prelude.<*> (x Data..:? "ApprovalDescription")
Prelude.<*> (x Data..:? "CertifyForMarketplace")
Prelude.<*> (x Data..:? "CreatedBy")
Prelude.<*> (x Data..:? "CreationTime")
Prelude.<*> ( x
Data..:? "CustomerMetadataProperties"
Data..!= Prelude.mempty
)
Prelude.<*> (x Data..:? "Domain")
Prelude.<*> (x Data..:? "DriftCheckBaselines")
Prelude.<*> (x Data..:? "InferenceSpecification")
Prelude.<*> (x Data..:? "LastModifiedBy")
Prelude.<*> (x Data..:? "LastModifiedTime")
Prelude.<*> (x Data..:? "MetadataProperties")
Prelude.<*> (x Data..:? "ModelApprovalStatus")
Prelude.<*> (x Data..:? "ModelMetrics")
Prelude.<*> (x Data..:? "ModelPackageArn")
Prelude.<*> (x Data..:? "ModelPackageDescription")
Prelude.<*> (x Data..:? "ModelPackageGroupName")
Prelude.<*> (x Data..:? "ModelPackageName")
Prelude.<*> (x Data..:? "ModelPackageStatus")
Prelude.<*> (x Data..:? "ModelPackageStatusDetails")
Prelude.<*> (x Data..:? "ModelPackageVersion")
Prelude.<*> (x Data..:? "SamplePayloadUrl")
Prelude.<*> (x Data..:? "SourceAlgorithmSpecification")
Prelude.<*> (x Data..:? "Tags" Data..!= Prelude.mempty)
Prelude.<*> (x Data..:? "Task")
Prelude.<*> (x Data..:? "ValidationSpecification")
)
instance Prelude.Hashable ModelPackage where
hashWithSalt _salt ModelPackage' {..} =
_salt
`Prelude.hashWithSalt` additionalInferenceSpecifications
`Prelude.hashWithSalt` approvalDescription
`Prelude.hashWithSalt` certifyForMarketplace
`Prelude.hashWithSalt` createdBy
`Prelude.hashWithSalt` creationTime
`Prelude.hashWithSalt` customerMetadataProperties
`Prelude.hashWithSalt` domain
`Prelude.hashWithSalt` driftCheckBaselines
`Prelude.hashWithSalt` inferenceSpecification
`Prelude.hashWithSalt` lastModifiedBy
`Prelude.hashWithSalt` lastModifiedTime
`Prelude.hashWithSalt` metadataProperties
`Prelude.hashWithSalt` modelApprovalStatus
`Prelude.hashWithSalt` modelMetrics
`Prelude.hashWithSalt` modelPackageArn
`Prelude.hashWithSalt` modelPackageDescription
`Prelude.hashWithSalt` modelPackageGroupName
`Prelude.hashWithSalt` modelPackageName
`Prelude.hashWithSalt` modelPackageStatus
`Prelude.hashWithSalt` modelPackageStatusDetails
`Prelude.hashWithSalt` modelPackageVersion
`Prelude.hashWithSalt` samplePayloadUrl
`Prelude.hashWithSalt` sourceAlgorithmSpecification
`Prelude.hashWithSalt` tags
`Prelude.hashWithSalt` task
`Prelude.hashWithSalt` validationSpecification
instance Prelude.NFData ModelPackage where
rnf ModelPackage' {..} =
Prelude.rnf additionalInferenceSpecifications
`Prelude.seq` Prelude.rnf approvalDescription
`Prelude.seq` Prelude.rnf certifyForMarketplace
`Prelude.seq` Prelude.rnf createdBy
`Prelude.seq` Prelude.rnf creationTime
`Prelude.seq` Prelude.rnf customerMetadataProperties
`Prelude.seq` Prelude.rnf domain
`Prelude.seq` Prelude.rnf driftCheckBaselines
`Prelude.seq` Prelude.rnf inferenceSpecification
`Prelude.seq` Prelude.rnf lastModifiedBy
`Prelude.seq` Prelude.rnf lastModifiedTime
`Prelude.seq` Prelude.rnf metadataProperties
`Prelude.seq` Prelude.rnf modelApprovalStatus
`Prelude.seq` Prelude.rnf modelMetrics
`Prelude.seq` Prelude.rnf modelPackageArn
`Prelude.seq` Prelude.rnf modelPackageDescription
`Prelude.seq` Prelude.rnf modelPackageGroupName
`Prelude.seq` Prelude.rnf modelPackageName
`Prelude.seq` Prelude.rnf modelPackageStatus
`Prelude.seq` Prelude.rnf
modelPackageStatusDetails
`Prelude.seq` Prelude.rnf
modelPackageVersion
`Prelude.seq` Prelude.rnf
samplePayloadUrl
`Prelude.seq` Prelude.rnf
sourceAlgorithmSpecification
`Prelude.seq` Prelude.rnf tags
`Prelude.seq` Prelude.rnf task
`Prelude.seq` Prelude.rnf
validationSpecification