Module: Aws::SageMaker::Types
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Defined Under Namespace
Classes: AIBenchmarkEndpoint, AIBenchmarkInferenceComponent, AIBenchmarkJobSummary, AIBenchmarkNetworkConfig, AIBenchmarkOutputConfig, AIBenchmarkOutputResult, AIBenchmarkTarget, AICapacityReservationConfig, AICloudWatchLogs, AIDatasetConfig, AIModelSource, AIModelSourceS3, AIRecommendation, AIRecommendationComputeSpec, AIRecommendationConstraint, AIRecommendationDeploymentConfiguration, AIRecommendationDeploymentS3Channel, AIRecommendationInferenceSpecification, AIRecommendationInstanceDetail, AIRecommendationJobSummary, AIRecommendationModelDetails, AIRecommendationOptimizationDetail, AIRecommendationOutputConfig, AIRecommendationOutputResult, AIRecommendationPerformanceMetric, AIRecommendationPerformanceTarget, AIWorkloadConfigSummary, AIWorkloadConfigs, AIWorkloadDataSource, AIWorkloadInputDataConfig, AIWorkloadS3DataSource, AcceleratorPartitionConfig, ActionSource, ActionSummary, AddAssociationRequest, AddAssociationResponse, AddClusterNodeSpecification, AddTagsInput, AddTagsOutput, AdditionalEnis, AdditionalInferenceSpecificationDefinition, AdditionalModelDataSource, AdditionalS3DataSource, AgentVersion, Alarm, AlarmDetails, AlgorithmSpecification, AlgorithmStatusDetails, AlgorithmStatusItem, AlgorithmSummary, AlgorithmValidationProfile, AlgorithmValidationSpecification, AmazonQSettings, AnnotationConsolidationConfig, AppDetails, AppImageConfigDetails, AppLifecycleManagement, AppSpecification, ArtifactSource, ArtifactSourceType, ArtifactSummary, AssociateTrialComponentRequest, AssociateTrialComponentResponse, AssociationInfo, AssociationSummary, AsyncInferenceClientConfig, AsyncInferenceConfig, AsyncInferenceNotificationConfig, AsyncInferenceOutputConfig, AthenaDatasetDefinition, AttachClusterNodeVolumeRequest, AttachClusterNodeVolumeResponse, AuthorizedUrl, AutoMLAlgorithmConfig, AutoMLCandidate, AutoMLCandidateGenerationConfig, AutoMLCandidateStep, AutoMLChannel, AutoMLComputeConfig, AutoMLContainerDefinition, AutoMLDataSource, AutoMLDataSplitConfig, AutoMLJobArtifacts, AutoMLJobChannel, AutoMLJobCompletionCriteria, AutoMLJobConfig, AutoMLJobObjective, AutoMLJobStepMetadata, AutoMLJobSummary, AutoMLOutputDataConfig, AutoMLPartialFailureReason, AutoMLProblemTypeConfig, AutoMLProblemTypeResolvedAttributes, AutoMLResolvedAttributes, AutoMLS3DataSource, AutoMLSecurityConfig, AutoParameter, AutoRollbackConfig, Autotune, AvailableUpgrade, BaseModel, BatchAddClusterNodesError, BatchAddClusterNodesRequest, BatchAddClusterNodesResponse, BatchDataCaptureConfig, BatchDeleteClusterNodeLogicalIdsError, BatchDeleteClusterNodesError, BatchDeleteClusterNodesRequest, BatchDeleteClusterNodesResponse, BatchDescribeModelPackageError, BatchDescribeModelPackageInput, BatchDescribeModelPackageOutput, BatchDescribeModelPackageSummary, BatchRebootClusterNodeLogicalIdsError, BatchRebootClusterNodesError, BatchRebootClusterNodesRequest, BatchRebootClusterNodesResponse, BatchReplaceClusterNodeLogicalIdsError, BatchReplaceClusterNodesError, BatchReplaceClusterNodesRequest, BatchReplaceClusterNodesResponse, BatchTransformInput, BedrockCustomModelDeploymentMetadata, BedrockCustomModelMetadata, BedrockModelImportMetadata, BedrockProvisionedModelThroughputMetadata, BestObjectiveNotImproving, Bias, BlueGreenUpdatePolicy, CacheHitResult, CallbackStepMetadata, CandidateArtifactLocations, CandidateGenerationConfig, CandidateProperties, CanvasAppSettings, CapacityReservation, CapacitySize, CapacitySizeConfig, CaptureContentTypeHeader, CaptureOption, CategoricalParameter, CategoricalParameterRange, CategoricalParameterRangeSpecification, CfnCreateTemplateProvider, CfnStackCreateParameter, CfnStackDetail, CfnStackParameter, CfnStackUpdateParameter, CfnTemplateProviderDetail, CfnUpdateTemplateProvider, Channel, ChannelSpecification, CheckpointConfig, ClarifyCheckStepMetadata, ClarifyExplainerConfig, ClarifyInferenceConfig, ClarifyShapBaselineConfig, ClarifyShapConfig, ClarifyTextConfig, ClusterAutoScalingConfig, ClusterAutoScalingConfigOutput, ClusterCapacityRequirements, ClusterEbsVolumeConfig, ClusterEventDetail, ClusterEventSummary, ClusterFsxLustreConfig, ClusterFsxOpenZfsConfig, ClusterInstanceGroupDetails, ClusterInstanceGroupSpecification, ClusterInstancePlacement, ClusterInstanceRequirementDetails, ClusterInstanceRequirements, ClusterInstanceStatusDetails, ClusterInstanceStorageConfig, ClusterInstanceTypeDetail, ClusterKubernetesConfig, ClusterKubernetesConfigDetails, ClusterKubernetesConfigNodeDetails, ClusterKubernetesTaint, ClusterLifeCycleConfig, ClusterMetadata, ClusterNetworkInterface, ClusterNetworkInterfaceDetails, ClusterNodeDetails, ClusterNodeSummary, ClusterOnDemandOptions, ClusterOrchestrator, ClusterOrchestratorEksConfig, ClusterOrchestratorSlurmConfig, ClusterRestrictedInstanceGroupDetails, ClusterRestrictedInstanceGroupSpecification, ClusterRestrictedInstanceGroupsConfig, ClusterRestrictedInstanceGroupsConfigOutput, ClusterSchedulerConfigSummary, ClusterSharedEnvironmentConfig, ClusterSharedEnvironmentConfigDetails, ClusterSlurmConfig, ClusterSlurmConfigDetails, ClusterSpotOptions, ClusterSummary, ClusterTieredStorageConfig, CodeEditorAppImageConfig, CodeEditorAppSettings, CodeRepository, CodeRepositorySummary, CognitoConfig, CognitoMemberDefinition, CollectionConfig, CollectionConfiguration, CompilationJobSummary, ComputeQuotaConfig, ComputeQuotaResourceConfig, ComputeQuotaSummary, ComputeQuotaTarget, ConditionStepMetadata, ConflictException, ContainerConfig, ContainerDefinition, ContextSource, ContextSummary, ContinuousParameterRange, ContinuousParameterRangeSpecification, ConvergenceDetected, CreateAIBenchmarkJobRequest, CreateAIBenchmarkJobResponse, CreateAIRecommendationJobRequest, CreateAIRecommendationJobResponse, CreateAIWorkloadConfigRequest, CreateAIWorkloadConfigResponse, CreateActionRequest, CreateActionResponse, CreateAlgorithmInput, CreateAlgorithmOutput, CreateAppImageConfigRequest, CreateAppImageConfigResponse, CreateAppRequest, CreateAppResponse, CreateArtifactRequest, CreateArtifactResponse, CreateAutoMLJobRequest, CreateAutoMLJobResponse, CreateAutoMLJobV2Request, CreateAutoMLJobV2Response, CreateClusterRequest, CreateClusterResponse, CreateClusterSchedulerConfigRequest, CreateClusterSchedulerConfigResponse, CreateCodeRepositoryInput, CreateCodeRepositoryOutput, CreateCompilationJobRequest, CreateCompilationJobResponse, CreateComputeQuotaRequest, CreateComputeQuotaResponse, CreateContextRequest, CreateContextResponse, CreateDataQualityJobDefinitionRequest, CreateDataQualityJobDefinitionResponse, CreateDeviceFleetRequest, CreateDomainRequest, CreateDomainResponse, CreateEdgeDeploymentPlanRequest, CreateEdgeDeploymentPlanResponse, CreateEdgeDeploymentStageRequest, CreateEdgePackagingJobRequest, CreateEndpointConfigInput, CreateEndpointConfigOutput, CreateEndpointInput, CreateEndpointOutput, CreateExperimentRequest, CreateExperimentResponse, CreateFeatureGroupRequest, CreateFeatureGroupResponse, CreateFlowDefinitionRequest, CreateFlowDefinitionResponse, CreateHubContentPresignedUrlsRequest, CreateHubContentPresignedUrlsResponse, CreateHubContentReferenceRequest, CreateHubContentReferenceResponse, CreateHubRequest, CreateHubResponse, CreateHumanTaskUiRequest, CreateHumanTaskUiResponse, CreateHyperParameterTuningJobRequest, CreateHyperParameterTuningJobResponse, CreateImageRequest, CreateImageResponse, CreateImageVersionRequest, CreateImageVersionResponse, CreateInferenceComponentInput, CreateInferenceComponentOutput, CreateInferenceExperimentRequest, CreateInferenceExperimentResponse, CreateInferenceRecommendationsJobRequest, CreateInferenceRecommendationsJobResponse, CreateLabelingJobRequest, CreateLabelingJobResponse, CreateMlflowAppRequest, CreateMlflowAppResponse, CreateMlflowTrackingServerRequest, CreateMlflowTrackingServerResponse, CreateModelBiasJobDefinitionRequest, CreateModelBiasJobDefinitionResponse, CreateModelCardExportJobRequest, CreateModelCardExportJobResponse, CreateModelCardRequest, CreateModelCardResponse, CreateModelExplainabilityJobDefinitionRequest, CreateModelExplainabilityJobDefinitionResponse, CreateModelInput, CreateModelOutput, CreateModelPackageGroupInput, CreateModelPackageGroupOutput, CreateModelPackageInput, CreateModelPackageOutput, CreateModelQualityJobDefinitionRequest, CreateModelQualityJobDefinitionResponse, CreateMonitoringScheduleRequest, CreateMonitoringScheduleResponse, CreateNotebookInstanceInput, CreateNotebookInstanceLifecycleConfigInput, CreateNotebookInstanceLifecycleConfigOutput, CreateNotebookInstanceOutput, CreateOptimizationJobRequest, CreateOptimizationJobResponse, CreatePartnerAppPresignedUrlRequest, CreatePartnerAppPresignedUrlResponse, CreatePartnerAppRequest, CreatePartnerAppResponse, CreatePipelineRequest, CreatePipelineResponse, CreatePresignedDomainUrlRequest, CreatePresignedDomainUrlResponse, CreatePresignedMlflowAppUrlRequest, CreatePresignedMlflowAppUrlResponse, CreatePresignedMlflowTrackingServerUrlRequest, CreatePresignedMlflowTrackingServerUrlResponse, CreatePresignedNotebookInstanceUrlInput, CreatePresignedNotebookInstanceUrlOutput, CreateProcessingJobRequest, CreateProcessingJobResponse, CreateProjectInput, CreateProjectOutput, CreateSpaceRequest, CreateSpaceResponse, CreateStudioLifecycleConfigRequest, CreateStudioLifecycleConfigResponse, CreateTemplateProvider, CreateTrainingJobRequest, CreateTrainingJobResponse, CreateTrainingPlanRequest, CreateTrainingPlanResponse, CreateTransformJobRequest, CreateTransformJobResponse, CreateTrialComponentRequest, CreateTrialComponentResponse, CreateTrialRequest, CreateTrialResponse, CreateUserProfileRequest, CreateUserProfileResponse, CreateWorkforceRequest, CreateWorkforceResponse, CreateWorkteamRequest, CreateWorkteamResponse, CustomFileSystem, CustomFileSystemConfig, CustomImage, CustomPosixUserConfig, CustomizedMetricSpecification, DataCaptureConfig, DataCaptureConfigSummary, DataCatalogConfig, DataProcessing, DataQualityAppSpecification, DataQualityBaselineConfig, DataQualityJobInput, DataSource, DatasetDefinition, DatasetSource, DebugHookConfig, DebugRuleConfiguration, DebugRuleEvaluationStatus, DefaultEbsStorageSettings, DefaultSpaceSettings, DefaultSpaceStorageSettings, DeleteAIBenchmarkJobRequest, DeleteAIBenchmarkJobResponse, DeleteAIRecommendationJobRequest, DeleteAIRecommendationJobResponse, DeleteAIWorkloadConfigRequest, DeleteAIWorkloadConfigResponse, DeleteActionRequest, DeleteActionResponse, DeleteAlgorithmInput, DeleteAppImageConfigRequest, DeleteAppRequest, DeleteArtifactRequest, DeleteArtifactResponse, DeleteAssociationRequest, DeleteAssociationResponse, DeleteClusterRequest, DeleteClusterResponse, DeleteClusterSchedulerConfigRequest, DeleteCodeRepositoryInput, DeleteCompilationJobRequest, DeleteComputeQuotaRequest, DeleteContextRequest, DeleteContextResponse, DeleteDataQualityJobDefinitionRequest, DeleteDeviceFleetRequest, DeleteDomainRequest, DeleteEdgeDeploymentPlanRequest, DeleteEdgeDeploymentStageRequest, DeleteEndpointConfigInput, DeleteEndpointInput, DeleteExperimentRequest, DeleteExperimentResponse, DeleteFeatureGroupRequest, DeleteFlowDefinitionRequest, DeleteFlowDefinitionResponse, DeleteHubContentReferenceRequest, DeleteHubContentRequest, DeleteHubRequest, DeleteHumanTaskUiRequest, DeleteHumanTaskUiResponse, DeleteHyperParameterTuningJobRequest, DeleteImageRequest, DeleteImageResponse, DeleteImageVersionRequest, DeleteImageVersionResponse, DeleteInferenceComponentInput, DeleteInferenceExperimentRequest, DeleteInferenceExperimentResponse, DeleteMlflowAppRequest, DeleteMlflowAppResponse, DeleteMlflowTrackingServerRequest, DeleteMlflowTrackingServerResponse, DeleteModelBiasJobDefinitionRequest, DeleteModelCardRequest, DeleteModelExplainabilityJobDefinitionRequest, DeleteModelInput, DeleteModelPackageGroupInput, DeleteModelPackageGroupPolicyInput, DeleteModelPackageInput, DeleteModelQualityJobDefinitionRequest, DeleteMonitoringScheduleRequest, DeleteNotebookInstanceInput, DeleteNotebookInstanceLifecycleConfigInput, DeleteOptimizationJobRequest, DeletePartnerAppRequest, DeletePartnerAppResponse, DeletePipelineRequest, DeletePipelineResponse, DeleteProcessingJobRequest, DeleteProjectInput, DeleteSpaceRequest, DeleteStudioLifecycleConfigRequest, DeleteTagsInput, DeleteTagsOutput, DeleteTrainingJobRequest, DeleteTrialComponentRequest, DeleteTrialComponentResponse, DeleteTrialRequest, DeleteTrialResponse, DeleteUserProfileRequest, DeleteWorkforceRequest, DeleteWorkforceResponse, DeleteWorkteamRequest, DeleteWorkteamResponse, DeployedImage, DeploymentConfig, DeploymentConfiguration, DeploymentRecommendation, DeploymentStage, DeploymentStageStatusSummary, DeregisterDevicesRequest, DerivedInformation, DescribeAIBenchmarkJobRequest, DescribeAIBenchmarkJobResponse, DescribeAIRecommendationJobRequest, DescribeAIRecommendationJobResponse, DescribeAIWorkloadConfigRequest, DescribeAIWorkloadConfigResponse, DescribeActionRequest, DescribeActionResponse, DescribeAlgorithmInput, DescribeAlgorithmOutput, DescribeAppImageConfigRequest, DescribeAppImageConfigResponse, DescribeAppRequest, DescribeAppResponse, DescribeArtifactRequest, DescribeArtifactResponse, DescribeAutoMLJobRequest, DescribeAutoMLJobResponse, DescribeAutoMLJobV2Request, DescribeAutoMLJobV2Response, DescribeClusterEventRequest, DescribeClusterEventResponse, DescribeClusterNodeRequest, DescribeClusterNodeResponse, DescribeClusterRequest, DescribeClusterResponse, DescribeClusterSchedulerConfigRequest, DescribeClusterSchedulerConfigResponse, DescribeCodeRepositoryInput, DescribeCodeRepositoryOutput, DescribeCompilationJobRequest, DescribeCompilationJobResponse, DescribeComputeQuotaRequest, DescribeComputeQuotaResponse, DescribeContextRequest, DescribeContextResponse, DescribeDataQualityJobDefinitionRequest, DescribeDataQualityJobDefinitionResponse, DescribeDeviceFleetRequest, DescribeDeviceFleetResponse, DescribeDeviceRequest, DescribeDeviceResponse, DescribeDomainRequest, DescribeDomainResponse, DescribeEdgeDeploymentPlanRequest, DescribeEdgeDeploymentPlanResponse, DescribeEdgePackagingJobRequest, DescribeEdgePackagingJobResponse, DescribeEndpointConfigInput, DescribeEndpointConfigOutput, DescribeEndpointInput, DescribeEndpointOutput, DescribeExperimentRequest, DescribeExperimentResponse, DescribeFeatureGroupRequest, DescribeFeatureGroupResponse, DescribeFeatureMetadataRequest, DescribeFeatureMetadataResponse, DescribeFlowDefinitionRequest, DescribeFlowDefinitionResponse, DescribeHubContentRequest, DescribeHubContentResponse, DescribeHubRequest, DescribeHubResponse, DescribeHumanTaskUiRequest, DescribeHumanTaskUiResponse, DescribeHyperParameterTuningJobRequest, DescribeHyperParameterTuningJobResponse, DescribeImageRequest, DescribeImageResponse, DescribeImageVersionRequest, DescribeImageVersionResponse, DescribeInferenceComponentInput, DescribeInferenceComponentOutput, DescribeInferenceExperimentRequest, DescribeInferenceExperimentResponse, DescribeInferenceRecommendationsJobRequest, DescribeInferenceRecommendationsJobResponse, DescribeLabelingJobRequest, DescribeLabelingJobResponse, DescribeLineageGroupRequest, DescribeLineageGroupResponse, DescribeMlflowAppRequest, DescribeMlflowAppResponse, DescribeMlflowTrackingServerRequest, DescribeMlflowTrackingServerResponse, DescribeModelBiasJobDefinitionRequest, DescribeModelBiasJobDefinitionResponse, DescribeModelCardExportJobRequest, DescribeModelCardExportJobResponse, DescribeModelCardRequest, DescribeModelCardResponse, DescribeModelExplainabilityJobDefinitionRequest, DescribeModelExplainabilityJobDefinitionResponse, DescribeModelInput, DescribeModelOutput, DescribeModelPackageGroupInput, DescribeModelPackageGroupOutput, DescribeModelPackageInput, DescribeModelPackageOutput, DescribeModelQualityJobDefinitionRequest, DescribeModelQualityJobDefinitionResponse, DescribeMonitoringScheduleRequest, DescribeMonitoringScheduleResponse, DescribeNotebookInstanceInput, DescribeNotebookInstanceLifecycleConfigInput, DescribeNotebookInstanceLifecycleConfigOutput, DescribeNotebookInstanceOutput, DescribeOptimizationJobRequest, DescribeOptimizationJobResponse, DescribePartnerAppRequest, DescribePartnerAppResponse, DescribePipelineDefinitionForExecutionRequest, DescribePipelineDefinitionForExecutionResponse, DescribePipelineExecutionRequest, DescribePipelineExecutionResponse, DescribePipelineRequest, DescribePipelineResponse, DescribeProcessingJobRequest, DescribeProcessingJobResponse, DescribeProjectInput, DescribeProjectOutput, DescribeReservedCapacityRequest, DescribeReservedCapacityResponse, DescribeSpaceRequest, DescribeSpaceResponse, DescribeStudioLifecycleConfigRequest, DescribeStudioLifecycleConfigResponse, DescribeSubscribedWorkteamRequest, DescribeSubscribedWorkteamResponse, DescribeTrainingJobRequest, DescribeTrainingJobResponse, DescribeTrainingPlanExtensionHistoryRequest, DescribeTrainingPlanExtensionHistoryResponse, DescribeTrainingPlanRequest, DescribeTrainingPlanResponse, DescribeTransformJobRequest, DescribeTransformJobResponse, DescribeTrialComponentRequest, DescribeTrialComponentResponse, DescribeTrialRequest, DescribeTrialResponse, DescribeUserProfileRequest, DescribeUserProfileResponse, DescribeWorkforceRequest, DescribeWorkforceResponse, DescribeWorkteamRequest, DescribeWorkteamResponse, DesiredWeightAndCapacity, DetachClusterNodeVolumeRequest, DetachClusterNodeVolumeResponse, Device, DeviceDeploymentSummary, DeviceFleetSummary, DeviceSelectionConfig, DeviceStats, DeviceSummary, DirectDeploySettings, DisableSagemakerServicecatalogPortfolioInput, DisableSagemakerServicecatalogPortfolioOutput, DisassociateTrialComponentRequest, DisassociateTrialComponentResponse, DockerSettings, DomainDetails, DomainSettings, DomainSettingsForUpdate, DriftCheckBaselines, DriftCheckBias, DriftCheckExplainability, DriftCheckModelDataQuality, DriftCheckModelQuality, DynamicScalingConfiguration, EFSFileSystem, EFSFileSystemConfig, EMRStepMetadata, EbsStorageSettings, Ec2CapacityReservation, Edge, EdgeDeploymentConfig, EdgeDeploymentModelConfig, EdgeDeploymentPlanSummary, EdgeDeploymentStatus, EdgeModel, EdgeModelStat, EdgeModelSummary, EdgeOutputConfig, EdgePackagingJobSummary, EdgePresetDeploymentOutput, EmrServerlessComputeConfig, EmrServerlessSettings, EmrSettings, EnableSagemakerServicecatalogPortfolioInput, EnableSagemakerServicecatalogPortfolioOutput, Endpoint, EndpointConfigStepMetadata, EndpointConfigSummary, EndpointInfo, EndpointInput, EndpointInputConfiguration, EndpointMetadata, EndpointOutputConfiguration, EndpointPerformance, EndpointStepMetadata, EndpointSummary, EnvironmentConfig, EnvironmentConfigDetails, EnvironmentParameter, EnvironmentParameterRanges, ErrorInfo, EventDetails, EventMetadata, Experiment, ExperimentConfig, ExperimentSource, ExperimentSummary, Explainability, ExplainerConfig, ExtendTrainingPlanRequest, ExtendTrainingPlanResponse, FSxLustreConfig, FSxLustreFileSystem, FSxLustreFileSystemConfig, FailStepMetadata, FeatureDefinition, FeatureGroup, FeatureGroupSummary, FeatureMetadata, FeatureParameter, FileSource, FileSystemConfig, FileSystemDataSource, Filter, FinalAutoMLJobObjectiveMetric, FinalHyperParameterTuningJobObjectiveMetric, FlowDefinitionOutputConfig, FlowDefinitionSummary, GenerativeAiSettings, GetDeviceFleetReportRequest, GetDeviceFleetReportResponse, GetLineageGroupPolicyRequest, GetLineageGroupPolicyResponse, GetModelPackageGroupPolicyInput, GetModelPackageGroupPolicyOutput, GetSagemakerServicecatalogPortfolioStatusInput, GetSagemakerServicecatalogPortfolioStatusOutput, GetScalingConfigurationRecommendationRequest, GetScalingConfigurationRecommendationResponse, GetSearchSuggestionsRequest, GetSearchSuggestionsResponse, GitConfig, GitConfigForUpdate, HiddenSageMakerImage, HolidayConfigAttributes, HubAccessConfig, HubContentDependency, HubContentInfo, HubInfo, HubS3StorageConfig, HumanLoopActivationConditionsConfig, HumanLoopActivationConfig, HumanLoopConfig, HumanLoopRequestSource, HumanTaskConfig, HumanTaskUiSummary, HyperParameterAlgorithmSpecification, HyperParameterSpecification, HyperParameterTrainingJobDefinition, HyperParameterTrainingJobSummary, HyperParameterTuningInstanceConfig, HyperParameterTuningJobCompletionDetails, HyperParameterTuningJobConfig, HyperParameterTuningJobConsumedResources, HyperParameterTuningJobObjective, HyperParameterTuningJobSearchEntity, HyperParameterTuningJobStrategyConfig, HyperParameterTuningJobSummary, HyperParameterTuningJobWarmStartConfig, HyperParameterTuningResourceConfig, HyperbandStrategyConfig, IamIdentity, IamPolicyConstraints, IdentityProviderOAuthSetting, IdleSettings, Image, ImageClassificationJobConfig, ImageConfig, ImageVersion, ImportHubContentRequest, ImportHubContentResponse, InferenceComponentAvailabilityZoneBalance, InferenceComponentCapacitySize, InferenceComponentComputeResourceRequirements, InferenceComponentContainerSpecification, InferenceComponentContainerSpecificationSummary, InferenceComponentDataCacheConfig, InferenceComponentDataCacheConfigSummary, InferenceComponentDeploymentConfig, InferenceComponentMetadata, InferenceComponentPlacementStatus, InferenceComponentRollingUpdatePolicy, InferenceComponentRuntimeConfig, InferenceComponentRuntimeConfigSummary, InferenceComponentSchedulingConfig, InferenceComponentSpecification, InferenceComponentSpecificationSummary, InferenceComponentStartupParameters, InferenceComponentSummary, InferenceExecutionConfig, InferenceExperimentDataStorageConfig, InferenceExperimentSchedule, InferenceExperimentSummary, InferenceHubAccessConfig, InferenceMetrics, InferenceRecommendation, InferenceRecommendationsJob, InferenceRecommendationsJobStep, InferenceSpecification, InfraCheckConfig, InputConfig, InstanceGroup, InstanceGroupHealthCheckConfiguration, InstanceGroupMetadata, InstanceGroupScalingMetadata, InstanceMetadata, InstanceMetadataServiceConfiguration, InstancePlacementConfig, InstancePool, InstancePoolSummary, InstanceRequirementsEniConfiguration, IntegerParameterRange, IntegerParameterRangeSpecification, JupyterLabAppImageConfig, JupyterLabAppSettings, JupyterServerAppSettings, KendraSettings, KernelGatewayAppSettings, KernelGatewayImageConfig, KernelSpec, LabelCounters, LabelCountersForWorkteam, LabelingJobAlgorithmsConfig, LabelingJobDataAttributes, LabelingJobDataSource, LabelingJobForWorkteamSummary, LabelingJobInputConfig, LabelingJobOutput, LabelingJobOutputConfig, LabelingJobResourceConfig, LabelingJobS3DataSource, LabelingJobSnsDataSource, LabelingJobStoppingConditions, LabelingJobSummary, LambdaStepMetadata, LastUpdateStatus, LineageGroupSummary, LineageMetadata, ListAIBenchmarkJobsRequest, ListAIBenchmarkJobsResponse, ListAIRecommendationJobsRequest, ListAIRecommendationJobsResponse, ListAIWorkloadConfigsRequest, ListAIWorkloadConfigsResponse, ListActionsRequest, ListActionsResponse, ListAlgorithmsInput, ListAlgorithmsOutput, ListAliasesRequest, ListAliasesResponse, ListAppImageConfigsRequest, ListAppImageConfigsResponse, ListAppsRequest, ListAppsResponse, ListArtifactsRequest, ListArtifactsResponse, ListAssociationsRequest, ListAssociationsResponse, ListAutoMLJobsRequest, ListAutoMLJobsResponse, ListCandidatesForAutoMLJobRequest, ListCandidatesForAutoMLJobResponse, ListClusterEventsRequest, ListClusterEventsResponse, ListClusterNodesRequest, ListClusterNodesResponse, ListClusterSchedulerConfigsRequest, ListClusterSchedulerConfigsResponse, ListClustersRequest, ListClustersResponse, ListCodeRepositoriesInput, ListCodeRepositoriesOutput, ListCompilationJobsRequest, ListCompilationJobsResponse, ListComputeQuotasRequest, ListComputeQuotasResponse, ListContextsRequest, ListContextsResponse, ListDataQualityJobDefinitionsRequest, ListDataQualityJobDefinitionsResponse, ListDeviceFleetsRequest, ListDeviceFleetsResponse, ListDevicesRequest, ListDevicesResponse, ListDomainsRequest, ListDomainsResponse, ListEdgeDeploymentPlansRequest, ListEdgeDeploymentPlansResponse, ListEdgePackagingJobsRequest, ListEdgePackagingJobsResponse, ListEndpointConfigsInput, ListEndpointConfigsOutput, ListEndpointsInput, ListEndpointsOutput, ListExperimentsRequest, ListExperimentsResponse, ListFeatureGroupsRequest, ListFeatureGroupsResponse, ListFlowDefinitionsRequest, ListFlowDefinitionsResponse, ListHubContentVersionsRequest, ListHubContentVersionsResponse, ListHubContentsRequest, ListHubContentsResponse, ListHubsRequest, ListHubsResponse, ListHumanTaskUisRequest, ListHumanTaskUisResponse, ListHyperParameterTuningJobsRequest, ListHyperParameterTuningJobsResponse, ListImageVersionsRequest, ListImageVersionsResponse, ListImagesRequest, ListImagesResponse, ListInferenceComponentsInput, ListInferenceComponentsOutput, ListInferenceExperimentsRequest, ListInferenceExperimentsResponse, ListInferenceRecommendationsJobStepsRequest, ListInferenceRecommendationsJobStepsResponse, ListInferenceRecommendationsJobsRequest, ListInferenceRecommendationsJobsResponse, ListLabelingJobsForWorkteamRequest, ListLabelingJobsForWorkteamResponse, ListLabelingJobsRequest, ListLabelingJobsResponse, ListLineageGroupsRequest, ListLineageGroupsResponse, ListMlflowAppsRequest, ListMlflowAppsResponse, ListMlflowTrackingServersRequest, ListMlflowTrackingServersResponse, ListModelBiasJobDefinitionsRequest, ListModelBiasJobDefinitionsResponse, ListModelCardExportJobsRequest, ListModelCardExportJobsResponse, ListModelCardVersionsRequest, ListModelCardVersionsResponse, ListModelCardsRequest, ListModelCardsResponse, ListModelExplainabilityJobDefinitionsRequest, ListModelExplainabilityJobDefinitionsResponse, ListModelMetadataRequest, ListModelMetadataResponse, ListModelPackageGroupsInput, ListModelPackageGroupsOutput, ListModelPackagesInput, ListModelPackagesOutput, ListModelQualityJobDefinitionsRequest, ListModelQualityJobDefinitionsResponse, ListModelsInput, ListModelsOutput, ListMonitoringAlertHistoryRequest, ListMonitoringAlertHistoryResponse, ListMonitoringAlertsRequest, ListMonitoringAlertsResponse, ListMonitoringExecutionsRequest, ListMonitoringExecutionsResponse, ListMonitoringSchedulesRequest, ListMonitoringSchedulesResponse, ListNotebookInstanceLifecycleConfigsInput, ListNotebookInstanceLifecycleConfigsOutput, ListNotebookInstancesInput, ListNotebookInstancesOutput, ListOptimizationJobsRequest, ListOptimizationJobsResponse, ListPartnerAppsRequest, ListPartnerAppsResponse, ListPipelineExecutionStepsRequest, ListPipelineExecutionStepsResponse, ListPipelineExecutionsRequest, ListPipelineExecutionsResponse, ListPipelineParametersForExecutionRequest, ListPipelineParametersForExecutionResponse, ListPipelineVersionsRequest, ListPipelineVersionsResponse, ListPipelinesRequest, ListPipelinesResponse, ListProcessingJobsRequest, ListProcessingJobsResponse, ListProjectsInput, ListProjectsOutput, ListResourceCatalogsRequest, ListResourceCatalogsResponse, ListSpacesRequest, ListSpacesResponse, ListStageDevicesRequest, ListStageDevicesResponse, ListStudioLifecycleConfigsRequest, ListStudioLifecycleConfigsResponse, ListSubscribedWorkteamsRequest, ListSubscribedWorkteamsResponse, ListTagsInput, ListTagsOutput, ListTrainingJobsForHyperParameterTuningJobRequest, ListTrainingJobsForHyperParameterTuningJobResponse, ListTrainingJobsRequest, ListTrainingJobsResponse, ListTrainingPlansRequest, ListTrainingPlansResponse, ListTransformJobsRequest, ListTransformJobsResponse, ListTrialComponentsRequest, ListTrialComponentsResponse, ListTrialsRequest, ListTrialsResponse, ListUltraServersByReservedCapacityRequest, ListUltraServersByReservedCapacityResponse, ListUserProfilesRequest, ListUserProfilesResponse, ListWorkforcesRequest, ListWorkforcesResponse, ListWorkteamsRequest, ListWorkteamsResponse, MLflowConfiguration, ManagedConfiguration, MemberDefinition, MetadataProperties, MetricData, MetricDatum, MetricDefinition, MetricSpecification, MetricsConfig, MetricsSource, MlflowAppSummary, MlflowConfig, MlflowDetails, Model, ModelAccessConfig, ModelArtifacts, ModelBiasAppSpecification, ModelBiasBaselineConfig, ModelBiasJobInput, ModelCard, ModelCardExportArtifacts, ModelCardExportJobSummary, ModelCardExportOutputConfig, ModelCardSecurityConfig, ModelCardSummary, ModelCardVersionSummary, ModelClientConfig, ModelCompilationConfig, ModelConfiguration, ModelDashboardEndpoint, ModelDashboardIndicatorAction, ModelDashboardModel, ModelDashboardModelCard, ModelDashboardMonitoringSchedule, ModelDataQuality, ModelDataSource, ModelDeployConfig, ModelDeployResult, ModelDigests, ModelExplainabilityAppSpecification, ModelExplainabilityBaselineConfig, ModelExplainabilityJobInput, ModelInfrastructureConfig, ModelInput, ModelLatencyThreshold, ModelLifeCycle, ModelMetadataFilter, ModelMetadataSearchExpression, ModelMetadataSummary, ModelMetrics, ModelPackage, ModelPackageConfig, ModelPackageContainerDefinition, ModelPackageGroup, ModelPackageGroupSummary, ModelPackageModelCard, ModelPackageSecurityConfig, ModelPackageStatusDetails, ModelPackageStatusItem, ModelPackageSummary, ModelPackageValidationProfile, ModelPackageValidationSpecification, ModelQuality, ModelQualityAppSpecification, ModelQualityBaselineConfig, ModelQualityJobInput, ModelQuantizationConfig, ModelRegisterSettings, ModelShardingConfig, ModelSpeculativeDecodingConfig, ModelSpeculativeDecodingTrainingDataSource, ModelStepMetadata, ModelSummary, ModelVariantConfig, ModelVariantConfigSummary, MonitoringAlertActions, MonitoringAlertHistorySummary, MonitoringAlertSummary, MonitoringAppSpecification, MonitoringBaselineConfig, MonitoringClusterConfig, MonitoringConstraintsResource, MonitoringCsvDatasetFormat, MonitoringDatasetFormat, MonitoringExecutionSummary, MonitoringGroundTruthS3Input, MonitoringInput, MonitoringJobDefinition, MonitoringJobDefinitionSummary, MonitoringJsonDatasetFormat, MonitoringNetworkConfig, MonitoringOutput, MonitoringOutputConfig, MonitoringParquetDatasetFormat, MonitoringResources, MonitoringS3Output, MonitoringSchedule, MonitoringScheduleConfig, MonitoringScheduleSummary, MonitoringStatisticsResource, MonitoringStoppingCondition, MultiModelConfig, NeoVpcConfig, NestedFilters, NetworkConfig, NodeAdditionResult, NotebookInstanceLifecycleConfigSummary, NotebookInstanceLifecycleHook, NotebookInstanceSummary, NotificationConfiguration, ObjectiveStatusCounters, OfflineStoreConfig, OfflineStoreStatus, OidcConfig, OidcConfigForResponse, OidcMemberDefinition, OnlineStoreConfig, OnlineStoreConfigUpdate, OnlineStoreSecurityConfig, OptimizationConfig, OptimizationJobModelSource, OptimizationJobModelSourceS3, OptimizationJobOutputConfig, OptimizationJobSummary, OptimizationModelAccessConfig, OptimizationOutput, OptimizationSageMakerModel, OptimizationVpcConfig, OutputConfig, OutputDataConfig, OutputParameter, OwnershipSettings, OwnershipSettingsSummary, ParallelismConfiguration, Parameter, ParameterRange, ParameterRanges, Parent, ParentHyperParameterTuningJob, PartnerAppConfig, PartnerAppMaintenanceConfig, PartnerAppSummary, PendingDeploymentSummary, PendingProductionVariantSummary, Phase, Pipeline, PipelineDefinitionS3Location, PipelineExecution, PipelineExecutionStep, PipelineExecutionStepMetadata, PipelineExecutionSummary, PipelineExperimentConfig, PipelineSummary, PipelineVersion, PipelineVersionSummary, PlacementSpecification, PredefinedMetricSpecification, PresignedUrlAccessConfig, PriorityClass, ProcessingClusterConfig, ProcessingFeatureStoreOutput, ProcessingInput, ProcessingJob, ProcessingJobStepMetadata, ProcessingJobSummary, ProcessingOutput, ProcessingOutputConfig, ProcessingResources, ProcessingS3Input, ProcessingS3Output, ProcessingStoppingCondition, ProductionVariant, ProductionVariantCapacityReservationConfig, ProductionVariantCapacityReservationSummary, ProductionVariantCoreDumpConfig, ProductionVariantManagedInstanceScaling, ProductionVariantManagedInstanceScalingScaleInPolicy, ProductionVariantRoutingConfig, ProductionVariantServerlessConfig, ProductionVariantServerlessUpdateConfig, ProductionVariantStatus, ProductionVariantSummary, ProfilerConfig, ProfilerConfigForUpdate, ProfilerRuleConfiguration, ProfilerRuleEvaluationStatus, Project, ProjectSummary, PropertyNameQuery, PropertyNameSuggestion, ProvisioningParameter, PublicWorkforceTaskPrice, PutModelPackageGroupPolicyInput, PutModelPackageGroupPolicyOutput, QualityCheckStepMetadata, QueryFilters, QueryLineageRequest, QueryLineageResponse, RSessionAppSettings, RStudioServerProAppSettings, RStudioServerProDomainSettings, RStudioServerProDomainSettingsForUpdate, RealTimeInferenceConfig, RealTimeInferenceRecommendation, RecommendationJobCompiledOutputConfig, RecommendationJobContainerConfig, RecommendationJobInferenceBenchmark, RecommendationJobInputConfig, RecommendationJobOutputConfig, RecommendationJobPayloadConfig, RecommendationJobResourceLimit, RecommendationJobStoppingConditions, RecommendationJobVpcConfig, RecommendationMetrics, RedshiftDatasetDefinition, RegisterDevicesRequest, RegisterModelStepMetadata, RemoteDebugConfig, RemoteDebugConfigForUpdate, RenderUiTemplateRequest, RenderUiTemplateResponse, RenderableTask, RenderingError, RepositoryAuthConfig, ReservedCapacityOffering, ReservedCapacitySummary, ResolvedAttributes, ResourceCatalog, ResourceConfig, ResourceConfigForUpdate, ResourceInUse, ResourceLimitExceeded, ResourceLimits, ResourceNotFound, ResourceSharingConfig, ResourceSpec, RetentionPolicy, RetryPipelineExecutionRequest, RetryPipelineExecutionResponse, RetryStrategy, RoleGroupAssignment, RollingDeploymentPolicy, RollingUpdatePolicy, S3DataSource, S3FileSystem, S3FileSystemConfig, S3ModelDataSource, S3Presign, S3StorageConfig, ScalingPolicy, ScalingPolicyMetric, ScalingPolicyObjective, ScheduleConfig, ScheduledUpdateConfig, SchedulerConfig, SearchExpression, SearchRecord, SearchRequest, SearchResponse, SearchTrainingPlanOfferingsRequest, SearchTrainingPlanOfferingsResponse, SecondaryStatusTransition, SelectedStep, SelectiveExecutionConfig, SelectiveExecutionResult, SendPipelineExecutionStepFailureRequest, SendPipelineExecutionStepFailureResponse, SendPipelineExecutionStepSuccessRequest, SendPipelineExecutionStepSuccessResponse, ServerlessJobConfig, ServiceCatalogProvisionedProductDetails, ServiceCatalogProvisioningDetails, ServiceCatalogProvisioningUpdateDetails, SessionChainingConfig, ShadowModeConfig, ShadowModelVariantConfig, SharingSettings, ShuffleConfig, SourceAlgorithm, SourceAlgorithmSpecification, SourceIpConfig, SpaceAppLifecycleManagement, SpaceCodeEditorAppSettings, SpaceDetails, SpaceIdleSettings, SpaceJupyterLabAppSettings, SpaceSettings, SpaceSettingsSummary, SpaceSharingSettings, SpaceSharingSettingsSummary, SpaceStorageSettings, Stairs, StartClusterHealthCheckRequest, StartClusterHealthCheckResponse, StartEdgeDeploymentStageRequest, StartInferenceExperimentRequest, StartInferenceExperimentResponse, StartMlflowTrackingServerRequest, StartMlflowTrackingServerResponse, StartMonitoringScheduleRequest, StartNotebookInstanceInput, StartPipelineExecutionRequest, StartPipelineExecutionResponse, StartSessionRequest, StartSessionResponse, StopAIBenchmarkJobRequest, StopAIBenchmarkJobResponse, StopAIRecommendationJobRequest, StopAIRecommendationJobResponse, StopAutoMLJobRequest, StopCompilationJobRequest, StopEdgeDeploymentStageRequest, StopEdgePackagingJobRequest, StopHyperParameterTuningJobRequest, StopInferenceExperimentRequest, StopInferenceExperimentResponse, StopInferenceRecommendationsJobRequest, StopLabelingJobRequest, StopMlflowTrackingServerRequest, StopMlflowTrackingServerResponse, StopMonitoringScheduleRequest, StopNotebookInstanceInput, StopOptimizationJobRequest, StopPipelineExecutionRequest, StopPipelineExecutionResponse, StopProcessingJobRequest, StopTrainingJobRequest, StopTransformJobRequest, StoppingCondition, StudioLifecycleConfigDetails, StudioWebPortalSettings, SubscribedWorkteam, SuggestionQuery, TabularJobConfig, TabularResolvedAttributes, Tag, TargetPlatform, TargetTrackingScalingPolicyConfiguration, TemplateProviderDetail, TensorBoardAppSettings, TensorBoardOutputConfig, TextClassificationJobConfig, TextGenerationJobConfig, TextGenerationResolvedAttributes, ThroughputConfig, ThroughputConfigDescription, ThroughputConfigUpdate, TimeSeriesConfig, TimeSeriesForecastingJobConfig, TimeSeriesForecastingSettings, TimeSeriesTransformations, TotalHits, TrackingServerSummary, TrafficPattern, TrafficRoutingConfig, TrainingImageConfig, TrainingJob, TrainingJobDefinition, TrainingJobStatusCounters, TrainingJobStepMetadata, TrainingJobSummary, TrainingPlanExtension, TrainingPlanExtensionOffering, TrainingPlanFilter, TrainingPlanOffering, TrainingPlanSummary, TrainingProgressInfo, TrainingRepositoryAuthConfig, TrainingSpecification, TransformDataSource, TransformInput, TransformJob, TransformJobDefinition, TransformJobStepMetadata, TransformJobSummary, TransformOutput, TransformResources, TransformS3DataSource, Trial, TrialComponent, TrialComponentArtifact, TrialComponentMetricSummary, TrialComponentParameterValue, TrialComponentSimpleSummary, TrialComponentSource, TrialComponentSourceDetail, TrialComponentStatus, TrialComponentSummary, TrialSource, TrialSummary, TrustedIdentityPropagationSettings, TtlDuration, TuningJobCompletionCriteria, TuningJobStepMetaData, USD, UiConfig, UiTemplate, UiTemplateInfo, UltraServer, UltraServerInfo, UltraServerSummary, UnifiedStudioSettings, UpdateActionRequest, UpdateActionResponse, UpdateAppImageConfigRequest, UpdateAppImageConfigResponse, UpdateArtifactRequest, UpdateArtifactResponse, UpdateClusterRequest, UpdateClusterResponse, UpdateClusterSchedulerConfigRequest, UpdateClusterSchedulerConfigResponse, UpdateClusterSoftwareInstanceGroupSpecification, UpdateClusterSoftwareRequest, UpdateClusterSoftwareResponse, UpdateCodeRepositoryInput, UpdateCodeRepositoryOutput, UpdateComputeQuotaRequest, UpdateComputeQuotaResponse, UpdateContextRequest, UpdateContextResponse, UpdateDeviceFleetRequest, UpdateDevicesRequest, UpdateDomainRequest, UpdateDomainResponse, UpdateEndpointInput, UpdateEndpointOutput, UpdateEndpointWeightsAndCapacitiesInput, UpdateEndpointWeightsAndCapacitiesOutput, UpdateExperimentRequest, UpdateExperimentResponse, UpdateFeatureGroupRequest, UpdateFeatureGroupResponse, UpdateFeatureMetadataRequest, UpdateHubContentReferenceRequest, UpdateHubContentReferenceResponse, UpdateHubContentRequest, UpdateHubContentResponse, UpdateHubRequest, UpdateHubResponse, UpdateImageRequest, UpdateImageResponse, UpdateImageVersionRequest, UpdateImageVersionResponse, UpdateInferenceComponentInput, UpdateInferenceComponentOutput, UpdateInferenceComponentRuntimeConfigInput, UpdateInferenceComponentRuntimeConfigOutput, UpdateInferenceExperimentRequest, UpdateInferenceExperimentResponse, UpdateMlflowAppRequest, UpdateMlflowAppResponse, UpdateMlflowTrackingServerRequest, UpdateMlflowTrackingServerResponse, UpdateModelCardRequest, UpdateModelCardResponse, UpdateModelPackageInput, UpdateModelPackageOutput, UpdateMonitoringAlertRequest, UpdateMonitoringAlertResponse, UpdateMonitoringScheduleRequest, UpdateMonitoringScheduleResponse, UpdateNotebookInstanceInput, UpdateNotebookInstanceLifecycleConfigInput, UpdateNotebookInstanceLifecycleConfigOutput, UpdateNotebookInstanceOutput, UpdatePartnerAppRequest, UpdatePartnerAppResponse, UpdatePipelineExecutionRequest, UpdatePipelineExecutionResponse, UpdatePipelineRequest, UpdatePipelineResponse, UpdatePipelineVersionRequest, UpdatePipelineVersionResponse, UpdateProjectInput, UpdateProjectOutput, UpdateSpaceRequest, UpdateSpaceResponse, UpdateTemplateProvider, UpdateTrainingJobRequest, UpdateTrainingJobResponse, UpdateTrialComponentRequest, UpdateTrialComponentResponse, UpdateTrialRequest, UpdateTrialResponse, UpdateUserProfileRequest, UpdateUserProfileResponse, UpdateWorkforceRequest, UpdateWorkforceResponse, UpdateWorkteamRequest, UpdateWorkteamResponse, UserContext, UserProfileDetails, UserSettings, VariantProperty, VectorConfig, Vertex, VisibilityConditions, VpcConfig, WarmPoolStatus, WorkerAccessConfiguration, Workforce, WorkforceVpcConfigRequest, WorkforceVpcConfigResponse, WorkloadSpec, WorkspaceSettings, Workteam
Instance Attribute Summary collapse
-
#cluster ⇒ Types::ClusterMetadata
Metadata specific to cluster-level events.
-
#customized ⇒ Types::CustomizedMetricSpecification
Information about a customized metric.
-
#ebs_volume_config ⇒ Types::ClusterEbsVolumeConfig
Defines the configuration for attaching additional Amazon Elastic Block Store (EBS) volumes to the instances in the SageMaker HyperPod cluster instance group.
-
#efs_file_system ⇒ Types::EFSFileSystem
A custom file system in Amazon EFS.
-
#efs_file_system_config ⇒ Types::EFSFileSystemConfig
The settings for a custom Amazon EFS file system.
-
#endpoint ⇒ Types::AIBenchmarkEndpoint
The SageMaker endpoint to benchmark.
-
#f_sx_lustre_file_system ⇒ Types::FSxLustreFileSystem
A custom file system in Amazon FSx for Lustre.
-
#f_sx_lustre_file_system_config ⇒ Types::FSxLustreFileSystemConfig
The settings for a custom Amazon FSx for Lustre file system.
-
#fsx_lustre_config ⇒ Types::ClusterFsxLustreConfig
Defines the configuration for attaching an Amazon FSx for Lustre file system to the instances in the SageMaker HyperPod cluster instance group.
-
#fsx_open_zfs_config ⇒ Types::ClusterFsxOpenZfsConfig
Defines the configuration for attaching an Amazon FSx for OpenZFS file system to the instances in the SageMaker HyperPod cluster instance group.
-
#image_classification_job_config ⇒ Types::ImageClassificationJobConfig
Settings used to configure an AutoML job V2 for the image classification problem type.
-
#inline ⇒ String
An inline YAML or JSON string that defines benchmark parameters.
-
#input_data_config ⇒ Array<Types::AIWorkloadInputDataConfig>
An array of input data channel configurations for the workload.
-
#instance ⇒ Types::InstanceMetadata
Metadata specific to instance-level events.
-
#instance_group ⇒ Types::InstanceGroupMetadata
Metadata specific to instance group-level events.
-
#instance_group_scaling ⇒ Types::InstanceGroupScalingMetadata
Metadata related to instance group scaling events.
-
#model_compilation_config ⇒ Types::ModelCompilationConfig
Settings for the model compilation technique that’s applied by a model optimization job.
-
#model_quantization_config ⇒ Types::ModelQuantizationConfig
Settings for the model quantization technique that’s applied by a model optimization job.
-
#model_sharding_config ⇒ Types::ModelShardingConfig
Settings for the model sharding technique that’s applied by a model optimization job.
-
#model_speculative_decoding_config ⇒ Types::ModelSpeculativeDecodingConfig
Settings for the model speculative decoding technique that’s applied by a model optimization job.
-
#predefined ⇒ Types::PredefinedMetricSpecification
Information about a predefined metric.
-
#s3 ⇒ Types::AIModelSourceS3
The Amazon S3 location of the model artifacts.
-
#s3_file_system ⇒ Types::S3FileSystem
A custom file system in Amazon S3.
-
#s3_file_system_config ⇒ Types::S3FileSystemConfig
Configuration settings for a custom Amazon S3 file system.
-
#tabular_job_config ⇒ Types::TabularJobConfig
Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
-
#tabular_resolved_attributes ⇒ Types::TabularResolvedAttributes
The resolved attributes for the tabular problem type.
-
#target_tracking ⇒ Types::TargetTrackingScalingPolicyConfiguration
A target tracking scaling policy.
-
#text_classification_job_config ⇒ Types::TextClassificationJobConfig
Settings used to configure an AutoML job V2 for the text classification problem type.
-
#text_generation_job_config ⇒ Types::TextGenerationJobConfig
Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
-
#text_generation_resolved_attributes ⇒ Types::TextGenerationResolvedAttributes
The resolved attributes for the text generation problem type.
-
#time_series_forecasting_job_config ⇒ Types::TimeSeriesForecastingJobConfig
Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
-
#vector_config ⇒ Types::VectorConfig
Configuration for your vector collection type.
Instance Attribute Details
#cluster ⇒ Types::ClusterMetadata
Metadata specific to cluster-level events.
26142 26143 26144 26145 26146 26147 26148 26149 26150 26151 26152 26153 26154 26155 26156 26157 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 26142 class EventMetadata < Struct.new( :cluster, :instance_group, :instance_group_scaling, :instance, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Cluster < EventMetadata; end class InstanceGroup < EventMetadata; end class InstanceGroupScaling < EventMetadata; end class Instance < EventMetadata; end class Unknown < EventMetadata; end end |
#customized ⇒ Types::CustomizedMetricSpecification
Information about a customized metric.
39450 39451 39452 39453 39454 39455 39456 39457 39458 39459 39460 39461 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 39450 class MetricSpecification < Struct.new( :predefined, :customized, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Predefined < MetricSpecification; end class Customized < MetricSpecification; end class Unknown < MetricSpecification; end end |
#ebs_volume_config ⇒ Types::ClusterEbsVolumeConfig
Defines the configuration for attaching additional Amazon Elastic Block Store (EBS) volumes to the instances in the SageMaker HyperPod cluster instance group. The additional EBS volume is attached to each instance within the SageMaker HyperPod cluster instance group and mounted to ‘/opt/sagemaker`.
6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 6748 class ClusterInstanceStorageConfig < Struct.new( :ebs_volume_config, :fsx_lustre_config, :fsx_open_zfs_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EbsVolumeConfig < ClusterInstanceStorageConfig; end class FsxLustreConfig < ClusterInstanceStorageConfig; end class FsxOpenZfsConfig < ClusterInstanceStorageConfig; end class Unknown < ClusterInstanceStorageConfig; end end |
#efs_file_system ⇒ Types::EFSFileSystem
A custom file system in Amazon EFS.
14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14677 class CustomFileSystem < Struct.new( :efs_file_system, :f_sx_lustre_file_system, :s3_file_system, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystem < CustomFileSystem; end class FSxLustreFileSystem < CustomFileSystem; end class S3FileSystem < CustomFileSystem; end class Unknown < CustomFileSystem; end end |
#efs_file_system_config ⇒ Types::EFSFileSystemConfig
The settings for a custom Amazon EFS file system.
14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14714 class CustomFileSystemConfig < Struct.new( :efs_file_system_config, :f_sx_lustre_file_system_config, :s3_file_system_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystemConfig < CustomFileSystemConfig; end class FSxLustreFileSystemConfig < CustomFileSystemConfig; end class S3FileSystemConfig < CustomFileSystemConfig; end class Unknown < CustomFileSystemConfig; end end |
#endpoint ⇒ Types::AIBenchmarkEndpoint
The SageMaker endpoint to benchmark.
153 154 155 156 157 158 159 160 161 162 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 153 class AIBenchmarkTarget < Struct.new( :endpoint, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Endpoint < AIBenchmarkTarget; end class Unknown < AIBenchmarkTarget; end end |
#f_sx_lustre_file_system ⇒ Types::FSxLustreFileSystem
A custom file system in Amazon FSx for Lustre.
14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14677 class CustomFileSystem < Struct.new( :efs_file_system, :f_sx_lustre_file_system, :s3_file_system, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystem < CustomFileSystem; end class FSxLustreFileSystem < CustomFileSystem; end class S3FileSystem < CustomFileSystem; end class Unknown < CustomFileSystem; end end |
#f_sx_lustre_file_system_config ⇒ Types::FSxLustreFileSystemConfig
The settings for a custom Amazon FSx for Lustre file system.
14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14714 class CustomFileSystemConfig < Struct.new( :efs_file_system_config, :f_sx_lustre_file_system_config, :s3_file_system_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystemConfig < CustomFileSystemConfig; end class FSxLustreFileSystemConfig < CustomFileSystemConfig; end class S3FileSystemConfig < CustomFileSystemConfig; end class Unknown < CustomFileSystemConfig; end end |
#fsx_lustre_config ⇒ Types::ClusterFsxLustreConfig
Defines the configuration for attaching an Amazon FSx for Lustre file system to the instances in the SageMaker HyperPod cluster instance group.
6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 6748 class ClusterInstanceStorageConfig < Struct.new( :ebs_volume_config, :fsx_lustre_config, :fsx_open_zfs_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EbsVolumeConfig < ClusterInstanceStorageConfig; end class FsxLustreConfig < ClusterInstanceStorageConfig; end class FsxOpenZfsConfig < ClusterInstanceStorageConfig; end class Unknown < ClusterInstanceStorageConfig; end end |
#fsx_open_zfs_config ⇒ Types::ClusterFsxOpenZfsConfig
Defines the configuration for attaching an Amazon FSx for OpenZFS file system to the instances in the SageMaker HyperPod cluster instance group.
6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 6748 class ClusterInstanceStorageConfig < Struct.new( :ebs_volume_config, :fsx_lustre_config, :fsx_open_zfs_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EbsVolumeConfig < ClusterInstanceStorageConfig; end class FsxLustreConfig < ClusterInstanceStorageConfig; end class FsxOpenZfsConfig < ClusterInstanceStorageConfig; end class Unknown < ClusterInstanceStorageConfig; end end |
#image_classification_job_config ⇒ Types::ImageClassificationJobConfig
Settings used to configure an AutoML job V2 for the image classification problem type.
3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3574 class AutoMLProblemTypeConfig < Struct.new( :image_classification_job_config, :text_classification_job_config, :time_series_forecasting_job_config, :tabular_job_config, :text_generation_job_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ImageClassificationJobConfig < AutoMLProblemTypeConfig; end class TextClassificationJobConfig < AutoMLProblemTypeConfig; end class TimeSeriesForecastingJobConfig < AutoMLProblemTypeConfig; end class TabularJobConfig < AutoMLProblemTypeConfig; end class TextGenerationJobConfig < AutoMLProblemTypeConfig; end class Unknown < AutoMLProblemTypeConfig; end end |
#inline ⇒ String
An inline YAML or JSON string that defines benchmark parameters.
58248 58249 58250 58251 58252 58253 58254 58255 58256 58257 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 58248 class WorkloadSpec < Struct.new( :inline, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Inline < WorkloadSpec; end class Unknown < WorkloadSpec; end end |
#input_data_config ⇒ Array<Types::AIWorkloadInputDataConfig>
An array of input data channel configurations for the workload.
216 217 218 219 220 221 222 223 224 225 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 216 class AIDatasetConfig < Struct.new( :input_data_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class InputDataConfig < AIDatasetConfig; end class Unknown < AIDatasetConfig; end end |
#instance ⇒ Types::InstanceMetadata
Metadata specific to instance-level events.
26142 26143 26144 26145 26146 26147 26148 26149 26150 26151 26152 26153 26154 26155 26156 26157 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 26142 class EventMetadata < Struct.new( :cluster, :instance_group, :instance_group_scaling, :instance, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Cluster < EventMetadata; end class InstanceGroup < EventMetadata; end class InstanceGroupScaling < EventMetadata; end class Instance < EventMetadata; end class Unknown < EventMetadata; end end |
#instance_group ⇒ Types::InstanceGroupMetadata
Metadata specific to instance group-level events.
26142 26143 26144 26145 26146 26147 26148 26149 26150 26151 26152 26153 26154 26155 26156 26157 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 26142 class EventMetadata < Struct.new( :cluster, :instance_group, :instance_group_scaling, :instance, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Cluster < EventMetadata; end class InstanceGroup < EventMetadata; end class InstanceGroupScaling < EventMetadata; end class Instance < EventMetadata; end class Unknown < EventMetadata; end end |
#instance_group_scaling ⇒ Types::InstanceGroupScalingMetadata
Metadata related to instance group scaling events.
26142 26143 26144 26145 26146 26147 26148 26149 26150 26151 26152 26153 26154 26155 26156 26157 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 26142 class EventMetadata < Struct.new( :cluster, :instance_group, :instance_group_scaling, :instance, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Cluster < EventMetadata; end class InstanceGroup < EventMetadata; end class InstanceGroupScaling < EventMetadata; end class Instance < EventMetadata; end class Unknown < EventMetadata; end end |
#model_compilation_config ⇒ Types::ModelCompilationConfig
Settings for the model compilation technique that’s applied by a model optimization job.
43365 43366 43367 43368 43369 43370 43371 43372 43373 43374 43375 43376 43377 43378 43379 43380 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 43365 class OptimizationConfig < Struct.new( :model_quantization_config, :model_compilation_config, :model_sharding_config, :model_speculative_decoding_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ModelQuantizationConfig < OptimizationConfig; end class ModelCompilationConfig < OptimizationConfig; end class ModelShardingConfig < OptimizationConfig; end class ModelSpeculativeDecodingConfig < OptimizationConfig; end class Unknown < OptimizationConfig; end end |
#model_quantization_config ⇒ Types::ModelQuantizationConfig
Settings for the model quantization technique that’s applied by a model optimization job.
43365 43366 43367 43368 43369 43370 43371 43372 43373 43374 43375 43376 43377 43378 43379 43380 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 43365 class OptimizationConfig < Struct.new( :model_quantization_config, :model_compilation_config, :model_sharding_config, :model_speculative_decoding_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ModelQuantizationConfig < OptimizationConfig; end class ModelCompilationConfig < OptimizationConfig; end class ModelShardingConfig < OptimizationConfig; end class ModelSpeculativeDecodingConfig < OptimizationConfig; end class Unknown < OptimizationConfig; end end |
#model_sharding_config ⇒ Types::ModelShardingConfig
Settings for the model sharding technique that’s applied by a model optimization job.
43365 43366 43367 43368 43369 43370 43371 43372 43373 43374 43375 43376 43377 43378 43379 43380 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 43365 class OptimizationConfig < Struct.new( :model_quantization_config, :model_compilation_config, :model_sharding_config, :model_speculative_decoding_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ModelQuantizationConfig < OptimizationConfig; end class ModelCompilationConfig < OptimizationConfig; end class ModelShardingConfig < OptimizationConfig; end class ModelSpeculativeDecodingConfig < OptimizationConfig; end class Unknown < OptimizationConfig; end end |
#model_speculative_decoding_config ⇒ Types::ModelSpeculativeDecodingConfig
Settings for the model speculative decoding technique that’s applied by a model optimization job.
43365 43366 43367 43368 43369 43370 43371 43372 43373 43374 43375 43376 43377 43378 43379 43380 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 43365 class OptimizationConfig < Struct.new( :model_quantization_config, :model_compilation_config, :model_sharding_config, :model_speculative_decoding_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ModelQuantizationConfig < OptimizationConfig; end class ModelCompilationConfig < OptimizationConfig; end class ModelShardingConfig < OptimizationConfig; end class ModelSpeculativeDecodingConfig < OptimizationConfig; end class Unknown < OptimizationConfig; end end |
#predefined ⇒ Types::PredefinedMetricSpecification
Information about a predefined metric.
39450 39451 39452 39453 39454 39455 39456 39457 39458 39459 39460 39461 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 39450 class MetricSpecification < Struct.new( :predefined, :customized, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class Predefined < MetricSpecification; end class Customized < MetricSpecification; end class Unknown < MetricSpecification; end end |
#s3 ⇒ Types::AIModelSourceS3
The Amazon S3 location of the model artifacts.
240 241 242 243 244 245 246 247 248 249 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 240 class AIModelSource < Struct.new( :s3, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class S3 < AIModelSource; end class Unknown < AIModelSource; end end |
#s3_file_system ⇒ Types::S3FileSystem
A custom file system in Amazon S3. This is only supported in Amazon SageMaker Unified Studio.
14677 14678 14679 14680 14681 14682 14683 14684 14685 14686 14687 14688 14689 14690 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14677 class CustomFileSystem < Struct.new( :efs_file_system, :f_sx_lustre_file_system, :s3_file_system, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystem < CustomFileSystem; end class FSxLustreFileSystem < CustomFileSystem; end class S3FileSystem < CustomFileSystem; end class Unknown < CustomFileSystem; end end |
#s3_file_system_config ⇒ Types::S3FileSystemConfig
Configuration settings for a custom Amazon S3 file system.
14714 14715 14716 14717 14718 14719 14720 14721 14722 14723 14724 14725 14726 14727 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 14714 class CustomFileSystemConfig < Struct.new( :efs_file_system_config, :f_sx_lustre_file_system_config, :s3_file_system_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class EfsFileSystemConfig < CustomFileSystemConfig; end class FSxLustreFileSystemConfig < CustomFileSystemConfig; end class S3FileSystemConfig < CustomFileSystemConfig; end class Unknown < CustomFileSystemConfig; end end |
#tabular_job_config ⇒ Types::TabularJobConfig
Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3574 class AutoMLProblemTypeConfig < Struct.new( :image_classification_job_config, :text_classification_job_config, :time_series_forecasting_job_config, :tabular_job_config, :text_generation_job_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ImageClassificationJobConfig < AutoMLProblemTypeConfig; end class TextClassificationJobConfig < AutoMLProblemTypeConfig; end class TimeSeriesForecastingJobConfig < AutoMLProblemTypeConfig; end class TabularJobConfig < AutoMLProblemTypeConfig; end class TextGenerationJobConfig < AutoMLProblemTypeConfig; end class Unknown < AutoMLProblemTypeConfig; end end |
#tabular_resolved_attributes ⇒ Types::TabularResolvedAttributes
The resolved attributes for the tabular problem type.
3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3608 class AutoMLProblemTypeResolvedAttributes < Struct.new( :tabular_resolved_attributes, :text_generation_resolved_attributes, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class TabularResolvedAttributes < AutoMLProblemTypeResolvedAttributes; end class TextGenerationResolvedAttributes < AutoMLProblemTypeResolvedAttributes; end class Unknown < AutoMLProblemTypeResolvedAttributes; end end |
#target_tracking ⇒ Types::TargetTrackingScalingPolicyConfiguration
A target tracking scaling policy. Includes support for predefined or customized metrics.
49067 49068 49069 49070 49071 49072 49073 49074 49075 49076 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 49067 class ScalingPolicy < Struct.new( :target_tracking, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class TargetTracking < ScalingPolicy; end class Unknown < ScalingPolicy; end end |
#text_classification_job_config ⇒ Types::TextClassificationJobConfig
Settings used to configure an AutoML job V2 for the text classification problem type.
3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3574 class AutoMLProblemTypeConfig < Struct.new( :image_classification_job_config, :text_classification_job_config, :time_series_forecasting_job_config, :tabular_job_config, :text_generation_job_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ImageClassificationJobConfig < AutoMLProblemTypeConfig; end class TextClassificationJobConfig < AutoMLProblemTypeConfig; end class TimeSeriesForecastingJobConfig < AutoMLProblemTypeConfig; end class TabularJobConfig < AutoMLProblemTypeConfig; end class TextGenerationJobConfig < AutoMLProblemTypeConfig; end class Unknown < AutoMLProblemTypeConfig; end end |
#text_generation_job_config ⇒ Types::TextGenerationJobConfig
Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
<note markdown=“1”> The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the [full list of its supported Regions].
</note>
3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3574 class AutoMLProblemTypeConfig < Struct.new( :image_classification_job_config, :text_classification_job_config, :time_series_forecasting_job_config, :tabular_job_config, :text_generation_job_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ImageClassificationJobConfig < AutoMLProblemTypeConfig; end class TextClassificationJobConfig < AutoMLProblemTypeConfig; end class TimeSeriesForecastingJobConfig < AutoMLProblemTypeConfig; end class TabularJobConfig < AutoMLProblemTypeConfig; end class TextGenerationJobConfig < AutoMLProblemTypeConfig; end class Unknown < AutoMLProblemTypeConfig; end end |
#text_generation_resolved_attributes ⇒ Types::TextGenerationResolvedAttributes
The resolved attributes for the text generation problem type.
3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3608 class AutoMLProblemTypeResolvedAttributes < Struct.new( :tabular_resolved_attributes, :text_generation_resolved_attributes, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class TabularResolvedAttributes < AutoMLProblemTypeResolvedAttributes; end class TextGenerationResolvedAttributes < AutoMLProblemTypeResolvedAttributes; end class Unknown < AutoMLProblemTypeResolvedAttributes; end end |
#time_series_forecasting_job_config ⇒ Types::TimeSeriesForecastingJobConfig
Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 3574 class AutoMLProblemTypeConfig < Struct.new( :image_classification_job_config, :text_classification_job_config, :time_series_forecasting_job_config, :tabular_job_config, :text_generation_job_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class ImageClassificationJobConfig < AutoMLProblemTypeConfig; end class TextClassificationJobConfig < AutoMLProblemTypeConfig; end class TimeSeriesForecastingJobConfig < AutoMLProblemTypeConfig; end class TabularJobConfig < AutoMLProblemTypeConfig; end class TextGenerationJobConfig < AutoMLProblemTypeConfig; end class Unknown < AutoMLProblemTypeConfig; end end |
#vector_config ⇒ Types::VectorConfig
Configuration for your vector collection type.
-
‘Dimension`: The number of elements in your vector.
^
7955 7956 7957 7958 7959 7960 7961 7962 7963 7964 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 7955 class CollectionConfig < Struct.new( :vector_config, :unknown) SENSITIVE = [] include Aws::Structure include Aws::Structure::Union class VectorConfig < CollectionConfig; end class Unknown < CollectionConfig; end end |