SageMakerClient
Auto-generated documentation for SageMaker type annotations stubs module mypy-boto3-sagemaker.
SageMakerClient
Type annotations and code completion for boto3.client("sagemaker")
.
boto3 documentation
from boto3.session import Session
from mypy_boto3_sagemaker.client import SageMakerClient
def get_sagemaker_client() -> SageMakerClient:
return Session().client("sagemaker")
Exceptions
boto3
client exceptions are generated in runtime.
This class provides code completion for boto3.client("sagemaker").exceptions
structure.
client = boto3.client("sagemaker")
try:
do_something(client)
except (
client.ClientError,
client.ConflictException,
client.ResourceInUse,
client.ResourceLimitExceeded,
client.ResourceNotFound,
) as e:
print(e)
from mypy_boto3_sagemaker.client import Exceptions
def handle_error(exc: Exceptions.ClientError) -> None:
...
Methods
add_association
Creates an association between the source and the destination.
Type annotations and code completion for boto3.client("sagemaker").add_association
method.
boto3 documentation
def add_association(
self,
*,
SourceArn: str,
DestinationArn: str,
AssociationType: AssociationEdgeTypeType = ..., # (1)
) -> AddAssociationResponseTypeDef: # (2)
...
kwargs: AddAssociationRequestRequestTypeDef = { # (1)
"SourceArn": ...,
"DestinationArn": ...,
}
parent.add_association(**kwargs)
add_tags
Adds or overwrites one or more tags for the specified SageMaker resource.
Type annotations and code completion for boto3.client("sagemaker").add_tags
method.
boto3 documentation
def add_tags(
self,
*,
ResourceArn: str,
Tags: Sequence[TagTypeDef], # (1)
) -> AddTagsOutputTypeDef: # (2)
...
- See TagTypeDef
- See AddTagsOutputTypeDef
kwargs: AddTagsInputRequestTypeDef = { # (1)
"ResourceArn": ...,
"Tags": ...,
}
parent.add_tags(**kwargs)
associate_trial_component
Associates a trial component with a trial.
Type annotations and code completion for boto3.client("sagemaker").associate_trial_component
method.
boto3 documentation
def associate_trial_component(
self,
*,
TrialComponentName: str,
TrialName: str,
) -> AssociateTrialComponentResponseTypeDef: # (1)
...
kwargs: AssociateTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
"TrialName": ...,
}
parent.associate_trial_component(**kwargs)
batch_describe_model_package
This action batch describes a list of versioned model packages See also: AWS API Documentation.
Type annotations and code completion for boto3.client("sagemaker").batch_describe_model_package
method.
boto3 documentation
def batch_describe_model_package(
self,
*,
ModelPackageArnList: Sequence[str],
) -> BatchDescribeModelPackageOutputTypeDef: # (1)
...
kwargs: BatchDescribeModelPackageInputRequestTypeDef = { # (1)
"ModelPackageArnList": ...,
}
parent.batch_describe_model_package(**kwargs)
can_paginate
Check if an operation can be paginated.
Type annotations and code completion for boto3.client("sagemaker").can_paginate
method.
boto3 documentation
close
Closes underlying endpoint connections.
Type annotations and code completion for boto3.client("sagemaker").close
method.
boto3 documentation
create_action
Creates an action.
Type annotations and code completion for boto3.client("sagemaker").create_action
method.
boto3 documentation
def create_action(
self,
*,
ActionName: str,
Source: ActionSourceTypeDef, # (1)
ActionType: str,
Description: str = ...,
Status: ActionStatusType = ..., # (2)
Properties: Mapping[str, str] = ...,
MetadataProperties: MetadataPropertiesTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> CreateActionResponseTypeDef: # (5)
...
- See ActionSourceTypeDef
- See ActionStatusType
- See MetadataPropertiesTypeDef
- See TagTypeDef
- See CreateActionResponseTypeDef
kwargs: CreateActionRequestRequestTypeDef = { # (1)
"ActionName": ...,
"Source": ...,
"ActionType": ...,
}
parent.create_action(**kwargs)
create_algorithm
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
Type annotations and code completion for boto3.client("sagemaker").create_algorithm
method.
boto3 documentation
def create_algorithm(
self,
*,
AlgorithmName: str,
TrainingSpecification: TrainingSpecificationTypeDef, # (1)
AlgorithmDescription: str = ...,
InferenceSpecification: InferenceSpecificationTypeDef = ..., # (2)
ValidationSpecification: AlgorithmValidationSpecificationTypeDef = ..., # (3)
CertifyForMarketplace: bool = ...,
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> CreateAlgorithmOutputTypeDef: # (5)
...
- See TrainingSpecificationTypeDef
- See InferenceSpecificationTypeDef
- See AlgorithmValidationSpecificationTypeDef
- See TagTypeDef
- See CreateAlgorithmOutputTypeDef
kwargs: CreateAlgorithmInputRequestTypeDef = { # (1)
"AlgorithmName": ...,
"TrainingSpecification": ...,
}
parent.create_algorithm(**kwargs)
create_app
Creates a running app for the specified UserProfile.
Type annotations and code completion for boto3.client("sagemaker").create_app
method.
boto3 documentation
def create_app(
self,
*,
DomainId: str,
AppType: AppTypeType, # (1)
AppName: str,
UserProfileName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
ResourceSpec: ResourceSpecTypeDef = ..., # (3)
SpaceName: str = ...,
) -> CreateAppResponseTypeDef: # (4)
...
- See AppTypeType
- See TagTypeDef
- See ResourceSpecTypeDef
- See CreateAppResponseTypeDef
kwargs: CreateAppRequestRequestTypeDef = { # (1)
"DomainId": ...,
"AppType": ...,
"AppName": ...,
}
parent.create_app(**kwargs)
create_app_image_config
Creates a configuration for running a SageMaker image as a KernelGateway app.
Type annotations and code completion for boto3.client("sagemaker").create_app_image_config
method.
boto3 documentation
def create_app_image_config(
self,
*,
AppImageConfigName: str,
Tags: Sequence[TagTypeDef] = ..., # (1)
KernelGatewayImageConfig: KernelGatewayImageConfigTypeDef = ..., # (2)
) -> CreateAppImageConfigResponseTypeDef: # (3)
...
kwargs: CreateAppImageConfigRequestRequestTypeDef = { # (1)
"AppImageConfigName": ...,
}
parent.create_app_image_config(**kwargs)
create_artifact
Creates an artifact.
Type annotations and code completion for boto3.client("sagemaker").create_artifact
method.
boto3 documentation
def create_artifact(
self,
*,
Source: ArtifactSourceTypeDef, # (1)
ArtifactType: str,
ArtifactName: str = ...,
Properties: Mapping[str, str] = ...,
MetadataProperties: MetadataPropertiesTypeDef = ..., # (2)
Tags: Sequence[TagTypeDef] = ..., # (3)
) -> CreateArtifactResponseTypeDef: # (4)
...
- See ArtifactSourceTypeDef
- See MetadataPropertiesTypeDef
- See TagTypeDef
- See CreateArtifactResponseTypeDef
kwargs: CreateArtifactRequestRequestTypeDef = { # (1)
"Source": ...,
"ArtifactType": ...,
}
parent.create_artifact(**kwargs)
create_auto_ml_job
Creates an Autopilot job.
Type annotations and code completion for boto3.client("sagemaker").create_auto_ml_job
method.
boto3 documentation
def create_auto_ml_job(
self,
*,
AutoMLJobName: str,
InputDataConfig: Sequence[AutoMLChannelTypeDef], # (1)
OutputDataConfig: AutoMLOutputDataConfigTypeDef, # (2)
RoleArn: str,
ProblemType: ProblemTypeType = ..., # (3)
AutoMLJobObjective: AutoMLJobObjectiveTypeDef = ..., # (4)
AutoMLJobConfig: AutoMLJobConfigTypeDef = ..., # (5)
GenerateCandidateDefinitionsOnly: bool = ...,
Tags: Sequence[TagTypeDef] = ..., # (6)
ModelDeployConfig: ModelDeployConfigTypeDef = ..., # (7)
) -> CreateAutoMLJobResponseTypeDef: # (8)
...
- See AutoMLChannelTypeDef
- See AutoMLOutputDataConfigTypeDef
- See ProblemTypeType
- See AutoMLJobObjectiveTypeDef
- See AutoMLJobConfigTypeDef
- See TagTypeDef
- See ModelDeployConfigTypeDef
- See CreateAutoMLJobResponseTypeDef
kwargs: CreateAutoMLJobRequestRequestTypeDef = { # (1)
"AutoMLJobName": ...,
"InputDataConfig": ...,
"OutputDataConfig": ...,
"RoleArn": ...,
}
parent.create_auto_ml_job(**kwargs)
create_code_repository
Creates a Git repository as a resource in your SageMaker account.
Type annotations and code completion for boto3.client("sagemaker").create_code_repository
method.
boto3 documentation
def create_code_repository(
self,
*,
CodeRepositoryName: str,
GitConfig: GitConfigTypeDef, # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateCodeRepositoryOutputTypeDef: # (3)
...
kwargs: CreateCodeRepositoryInputRequestTypeDef = { # (1)
"CodeRepositoryName": ...,
"GitConfig": ...,
}
parent.create_code_repository(**kwargs)
create_compilation_job
Starts a model compilation job.
Type annotations and code completion for boto3.client("sagemaker").create_compilation_job
method.
boto3 documentation
def create_compilation_job(
self,
*,
CompilationJobName: str,
RoleArn: str,
OutputConfig: OutputConfigTypeDef, # (1)
StoppingCondition: StoppingConditionTypeDef, # (2)
ModelPackageVersionArn: str = ...,
InputConfig: InputConfigTypeDef = ..., # (3)
VpcConfig: NeoVpcConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> CreateCompilationJobResponseTypeDef: # (6)
...
- See OutputConfigTypeDef
- See StoppingConditionTypeDef
- See InputConfigTypeDef
- See NeoVpcConfigTypeDef
- See TagTypeDef
- See CreateCompilationJobResponseTypeDef
kwargs: CreateCompilationJobRequestRequestTypeDef = { # (1)
"CompilationJobName": ...,
"RoleArn": ...,
"OutputConfig": ...,
"StoppingCondition": ...,
}
parent.create_compilation_job(**kwargs)
create_context
Creates a context.
Type annotations and code completion for boto3.client("sagemaker").create_context
method.
boto3 documentation
def create_context(
self,
*,
ContextName: str,
Source: ContextSourceTypeDef, # (1)
ContextType: str,
Description: str = ...,
Properties: Mapping[str, str] = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateContextResponseTypeDef: # (3)
...
kwargs: CreateContextRequestRequestTypeDef = { # (1)
"ContextName": ...,
"Source": ...,
"ContextType": ...,
}
parent.create_context(**kwargs)
create_data_quality_job_definition
Creates a definition for a job that monitors data quality and drift.
Type annotations and code completion for boto3.client("sagemaker").create_data_quality_job_definition
method.
boto3 documentation
def create_data_quality_job_definition(
self,
*,
JobDefinitionName: str,
DataQualityAppSpecification: DataQualityAppSpecificationTypeDef, # (1)
DataQualityJobInput: DataQualityJobInputTypeDef, # (2)
DataQualityJobOutputConfig: MonitoringOutputConfigTypeDef, # (3)
JobResources: MonitoringResourcesTypeDef, # (4)
RoleArn: str,
DataQualityBaselineConfig: DataQualityBaselineConfigTypeDef = ..., # (5)
NetworkConfig: MonitoringNetworkConfigTypeDef = ..., # (6)
StoppingCondition: MonitoringStoppingConditionTypeDef = ..., # (7)
Tags: Sequence[TagTypeDef] = ..., # (8)
) -> CreateDataQualityJobDefinitionResponseTypeDef: # (9)
...
- See DataQualityAppSpecificationTypeDef
- See DataQualityJobInputTypeDef
- See MonitoringOutputConfigTypeDef
- See MonitoringResourcesTypeDef
- See DataQualityBaselineConfigTypeDef
- See MonitoringNetworkConfigTypeDef
- See MonitoringStoppingConditionTypeDef
- See TagTypeDef
- See CreateDataQualityJobDefinitionResponseTypeDef
kwargs: CreateDataQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
"DataQualityAppSpecification": ...,
"DataQualityJobInput": ...,
"DataQualityJobOutputConfig": ...,
"JobResources": ...,
"RoleArn": ...,
}
parent.create_data_quality_job_definition(**kwargs)
create_device_fleet
Creates a device fleet.
Type annotations and code completion for boto3.client("sagemaker").create_device_fleet
method.
boto3 documentation
def create_device_fleet(
self,
*,
DeviceFleetName: str,
OutputConfig: EdgeOutputConfigTypeDef, # (1)
RoleArn: str = ...,
Description: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
EnableIotRoleAlias: bool = ...,
) -> EmptyResponseMetadataTypeDef: # (3)
...
kwargs: CreateDeviceFleetRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
"OutputConfig": ...,
}
parent.create_device_fleet(**kwargs)
create_domain
Creates a Domain
used by Amazon SageMaker Studio.
Type annotations and code completion for boto3.client("sagemaker").create_domain
method.
boto3 documentation
def create_domain(
self,
*,
DomainName: str,
AuthMode: AuthModeType, # (1)
DefaultUserSettings: UserSettingsTypeDef, # (2)
SubnetIds: Sequence[str],
VpcId: str,
Tags: Sequence[TagTypeDef] = ..., # (3)
AppNetworkAccessType: AppNetworkAccessTypeType = ..., # (4)
HomeEfsFileSystemKmsKeyId: str = ...,
KmsKeyId: str = ...,
AppSecurityGroupManagement: AppSecurityGroupManagementType = ..., # (5)
DomainSettings: DomainSettingsTypeDef = ..., # (6)
DefaultSpaceSettings: DefaultSpaceSettingsTypeDef = ..., # (7)
) -> CreateDomainResponseTypeDef: # (8)
...
- See AuthModeType
- See UserSettingsTypeDef
- See TagTypeDef
- See AppNetworkAccessTypeType
- See AppSecurityGroupManagementType
- See DomainSettingsTypeDef
- See DefaultSpaceSettingsTypeDef
- See CreateDomainResponseTypeDef
kwargs: CreateDomainRequestRequestTypeDef = { # (1)
"DomainName": ...,
"AuthMode": ...,
"DefaultUserSettings": ...,
"SubnetIds": ...,
"VpcId": ...,
}
parent.create_domain(**kwargs)
create_edge_deployment_plan
Creates an edge deployment plan, consisting of multiple stages.
Type annotations and code completion for boto3.client("sagemaker").create_edge_deployment_plan
method.
boto3 documentation
def create_edge_deployment_plan(
self,
*,
EdgeDeploymentPlanName: str,
ModelConfigs: Sequence[EdgeDeploymentModelConfigTypeDef], # (1)
DeviceFleetName: str,
Stages: Sequence[DeploymentStageTypeDef] = ..., # (2)
Tags: Sequence[TagTypeDef] = ..., # (3)
) -> CreateEdgeDeploymentPlanResponseTypeDef: # (4)
...
- See EdgeDeploymentModelConfigTypeDef
- See DeploymentStageTypeDef
- See TagTypeDef
- See CreateEdgeDeploymentPlanResponseTypeDef
kwargs: CreateEdgeDeploymentPlanRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"ModelConfigs": ...,
"DeviceFleetName": ...,
}
parent.create_edge_deployment_plan(**kwargs)
create_edge_deployment_stage
Creates a new stage in an existing edge deployment plan.
Type annotations and code completion for boto3.client("sagemaker").create_edge_deployment_stage
method.
boto3 documentation
def create_edge_deployment_stage(
self,
*,
EdgeDeploymentPlanName: str,
Stages: Sequence[DeploymentStageTypeDef], # (1)
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: CreateEdgeDeploymentStageRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"Stages": ...,
}
parent.create_edge_deployment_stage(**kwargs)
create_edge_packaging_job
Starts a SageMaker Edge Manager model packaging job.
Type annotations and code completion for boto3.client("sagemaker").create_edge_packaging_job
method.
boto3 documentation
def create_edge_packaging_job(
self,
*,
EdgePackagingJobName: str,
CompilationJobName: str,
ModelName: str,
ModelVersion: str,
RoleArn: str,
OutputConfig: EdgeOutputConfigTypeDef, # (1)
ResourceKey: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> EmptyResponseMetadataTypeDef: # (3)
...
kwargs: CreateEdgePackagingJobRequestRequestTypeDef = { # (1)
"EdgePackagingJobName": ...,
"CompilationJobName": ...,
"ModelName": ...,
"ModelVersion": ...,
"RoleArn": ...,
"OutputConfig": ...,
}
parent.create_edge_packaging_job(**kwargs)
create_endpoint
Creates an endpoint using the endpoint configuration specified in the request.
Type annotations and code completion for boto3.client("sagemaker").create_endpoint
method.
boto3 documentation
def create_endpoint(
self,
*,
EndpointName: str,
EndpointConfigName: str,
DeploymentConfig: DeploymentConfigTypeDef = ..., # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateEndpointOutputTypeDef: # (3)
...
kwargs: CreateEndpointInputRequestTypeDef = { # (1)
"EndpointName": ...,
"EndpointConfigName": ...,
}
parent.create_endpoint(**kwargs)
create_endpoint_config
Creates an endpoint configuration that SageMaker hosting services uses to deploy models.
Type annotations and code completion for boto3.client("sagemaker").create_endpoint_config
method.
boto3 documentation
def create_endpoint_config(
self,
*,
EndpointConfigName: str,
ProductionVariants: Sequence[ProductionVariantTypeDef], # (1)
DataCaptureConfig: DataCaptureConfigTypeDef = ..., # (2)
Tags: Sequence[TagTypeDef] = ..., # (3)
KmsKeyId: str = ...,
AsyncInferenceConfig: AsyncInferenceConfigTypeDef = ..., # (4)
ExplainerConfig: ExplainerConfigTypeDef = ..., # (5)
ShadowProductionVariants: Sequence[ProductionVariantTypeDef] = ..., # (1)
) -> CreateEndpointConfigOutputTypeDef: # (7)
...
- See ProductionVariantTypeDef
- See DataCaptureConfigTypeDef
- See TagTypeDef
- See AsyncInferenceConfigTypeDef
- See ExplainerConfigTypeDef
- See ProductionVariantTypeDef
- See CreateEndpointConfigOutputTypeDef
kwargs: CreateEndpointConfigInputRequestTypeDef = { # (1)
"EndpointConfigName": ...,
"ProductionVariants": ...,
}
parent.create_endpoint_config(**kwargs)
create_experiment
Creates a SageMaker experiment.
Type annotations and code completion for boto3.client("sagemaker").create_experiment
method.
boto3 documentation
def create_experiment(
self,
*,
ExperimentName: str,
DisplayName: str = ...,
Description: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
) -> CreateExperimentResponseTypeDef: # (2)
...
kwargs: CreateExperimentRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.create_experiment(**kwargs)
create_feature_group
Create a new FeatureGroup
.
Type annotations and code completion for boto3.client("sagemaker").create_feature_group
method.
boto3 documentation
def create_feature_group(
self,
*,
FeatureGroupName: str,
RecordIdentifierFeatureName: str,
EventTimeFeatureName: str,
FeatureDefinitions: Sequence[FeatureDefinitionTypeDef], # (1)
OnlineStoreConfig: OnlineStoreConfigTypeDef = ..., # (2)
OfflineStoreConfig: OfflineStoreConfigTypeDef = ..., # (3)
RoleArn: str = ...,
Description: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> CreateFeatureGroupResponseTypeDef: # (5)
...
- See FeatureDefinitionTypeDef
- See OnlineStoreConfigTypeDef
- See OfflineStoreConfigTypeDef
- See TagTypeDef
- See CreateFeatureGroupResponseTypeDef
kwargs: CreateFeatureGroupRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
"RecordIdentifierFeatureName": ...,
"EventTimeFeatureName": ...,
"FeatureDefinitions": ...,
}
parent.create_feature_group(**kwargs)
create_flow_definition
Creates a flow definition.
Type annotations and code completion for boto3.client("sagemaker").create_flow_definition
method.
boto3 documentation
def create_flow_definition(
self,
*,
FlowDefinitionName: str,
HumanLoopConfig: HumanLoopConfigTypeDef, # (1)
OutputConfig: FlowDefinitionOutputConfigTypeDef, # (2)
RoleArn: str,
HumanLoopRequestSource: HumanLoopRequestSourceTypeDef = ..., # (3)
HumanLoopActivationConfig: HumanLoopActivationConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> CreateFlowDefinitionResponseTypeDef: # (6)
...
- See HumanLoopConfigTypeDef
- See FlowDefinitionOutputConfigTypeDef
- See HumanLoopRequestSourceTypeDef
- See HumanLoopActivationConfigTypeDef
- See TagTypeDef
- See CreateFlowDefinitionResponseTypeDef
kwargs: CreateFlowDefinitionRequestRequestTypeDef = { # (1)
"FlowDefinitionName": ...,
"HumanLoopConfig": ...,
"OutputConfig": ...,
"RoleArn": ...,
}
parent.create_flow_definition(**kwargs)
create_hub
Create a hub.
Type annotations and code completion for boto3.client("sagemaker").create_hub
method.
boto3 documentation
def create_hub(
self,
*,
HubName: str,
HubDescription: str,
HubDisplayName: str = ...,
HubSearchKeywords: Sequence[str] = ...,
S3StorageConfig: HubS3StorageConfigTypeDef = ..., # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateHubResponseTypeDef: # (3)
...
kwargs: CreateHubRequestRequestTypeDef = { # (1)
"HubName": ...,
"HubDescription": ...,
}
parent.create_hub(**kwargs)
create_human_task_ui
Defines the settings you will use for the human review workflow user interface.
Type annotations and code completion for boto3.client("sagemaker").create_human_task_ui
method.
boto3 documentation
def create_human_task_ui(
self,
*,
HumanTaskUiName: str,
UiTemplate: UiTemplateTypeDef, # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateHumanTaskUiResponseTypeDef: # (3)
...
kwargs: CreateHumanTaskUiRequestRequestTypeDef = { # (1)
"HumanTaskUiName": ...,
"UiTemplate": ...,
}
parent.create_human_task_ui(**kwargs)
create_hyper_parameter_tuning_job
Starts a hyperparameter tuning job.
Type annotations and code completion for boto3.client("sagemaker").create_hyper_parameter_tuning_job
method.
boto3 documentation
def create_hyper_parameter_tuning_job(
self,
*,
HyperParameterTuningJobName: str,
HyperParameterTuningJobConfig: HyperParameterTuningJobConfigTypeDef, # (1)
TrainingJobDefinition: HyperParameterTrainingJobDefinitionTypeDef = ..., # (2)
TrainingJobDefinitions: Sequence[HyperParameterTrainingJobDefinitionTypeDef] = ..., # (3)
WarmStartConfig: HyperParameterTuningJobWarmStartConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> CreateHyperParameterTuningJobResponseTypeDef: # (6)
...
- See HyperParameterTuningJobConfigTypeDef
- See HyperParameterTrainingJobDefinitionTypeDef
- See HyperParameterTrainingJobDefinitionTypeDef
- See HyperParameterTuningJobWarmStartConfigTypeDef
- See TagTypeDef
- See CreateHyperParameterTuningJobResponseTypeDef
kwargs: CreateHyperParameterTuningJobRequestRequestTypeDef = { # (1)
"HyperParameterTuningJobName": ...,
"HyperParameterTuningJobConfig": ...,
}
parent.create_hyper_parameter_tuning_job(**kwargs)
create_image
Creates a custom SageMaker image.
Type annotations and code completion for boto3.client("sagemaker").create_image
method.
boto3 documentation
def create_image(
self,
*,
ImageName: str,
RoleArn: str,
Description: str = ...,
DisplayName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
) -> CreateImageResponseTypeDef: # (2)
...
- See TagTypeDef
- See CreateImageResponseTypeDef
kwargs: CreateImageRequestRequestTypeDef = { # (1)
"ImageName": ...,
"RoleArn": ...,
}
parent.create_image(**kwargs)
create_image_version
Creates a version of the SageMaker image specified by ImageName
.
Type annotations and code completion for boto3.client("sagemaker").create_image_version
method.
boto3 documentation
def create_image_version(
self,
*,
BaseImage: str,
ClientToken: str,
ImageName: str,
Aliases: Sequence[str] = ...,
VendorGuidance: VendorGuidanceType = ..., # (1)
JobType: JobTypeType = ..., # (2)
MLFramework: str = ...,
ProgrammingLang: str = ...,
Processor: ProcessorType = ..., # (3)
Horovod: bool = ...,
ReleaseNotes: str = ...,
) -> CreateImageVersionResponseTypeDef: # (4)
...
- See VendorGuidanceType
- See JobTypeType
- See ProcessorType
- See CreateImageVersionResponseTypeDef
kwargs: CreateImageVersionRequestRequestTypeDef = { # (1)
"BaseImage": ...,
"ClientToken": ...,
"ImageName": ...,
}
parent.create_image_version(**kwargs)
create_inference_experiment
Creates an inference experiment using the configurations specified in the request.
Type annotations and code completion for boto3.client("sagemaker").create_inference_experiment
method.
boto3 documentation
def create_inference_experiment(
self,
*,
Name: str,
Type: InferenceExperimentTypeType, # (1)
RoleArn: str,
EndpointName: str,
ModelVariants: Sequence[ModelVariantConfigTypeDef], # (2)
ShadowModeConfig: ShadowModeConfigTypeDef, # (3)
Schedule: InferenceExperimentScheduleTypeDef = ..., # (4)
Description: str = ...,
DataStorageConfig: InferenceExperimentDataStorageConfigTypeDef = ..., # (5)
KmsKey: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (6)
) -> CreateInferenceExperimentResponseTypeDef: # (7)
...
- See InferenceExperimentTypeType
- See ModelVariantConfigTypeDef
- See ShadowModeConfigTypeDef
- See InferenceExperimentScheduleTypeDef
- See InferenceExperimentDataStorageConfigTypeDef
- See TagTypeDef
- See CreateInferenceExperimentResponseTypeDef
kwargs: CreateInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
"Type": ...,
"RoleArn": ...,
"EndpointName": ...,
"ModelVariants": ...,
"ShadowModeConfig": ...,
}
parent.create_inference_experiment(**kwargs)
create_inference_recommendations_job
Starts a recommendation job.
Type annotations and code completion for boto3.client("sagemaker").create_inference_recommendations_job
method.
boto3 documentation
def create_inference_recommendations_job(
self,
*,
JobName: str,
JobType: RecommendationJobTypeType, # (1)
RoleArn: str,
InputConfig: RecommendationJobInputConfigTypeDef, # (2)
JobDescription: str = ...,
StoppingConditions: RecommendationJobStoppingConditionsTypeDef = ..., # (3)
OutputConfig: RecommendationJobOutputConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> CreateInferenceRecommendationsJobResponseTypeDef: # (6)
...
- See RecommendationJobTypeType
- See RecommendationJobInputConfigTypeDef
- See RecommendationJobStoppingConditionsTypeDef
- See RecommendationJobOutputConfigTypeDef
- See TagTypeDef
- See CreateInferenceRecommendationsJobResponseTypeDef
kwargs: CreateInferenceRecommendationsJobRequestRequestTypeDef = { # (1)
"JobName": ...,
"JobType": ...,
"RoleArn": ...,
"InputConfig": ...,
}
parent.create_inference_recommendations_job(**kwargs)
create_labeling_job
Creates a job that uses workers to label the data objects in your input dataset.
Type annotations and code completion for boto3.client("sagemaker").create_labeling_job
method.
boto3 documentation
def create_labeling_job(
self,
*,
LabelingJobName: str,
LabelAttributeName: str,
InputConfig: LabelingJobInputConfigTypeDef, # (1)
OutputConfig: LabelingJobOutputConfigTypeDef, # (2)
RoleArn: str,
HumanTaskConfig: HumanTaskConfigTypeDef, # (3)
LabelCategoryConfigS3Uri: str = ...,
StoppingConditions: LabelingJobStoppingConditionsTypeDef = ..., # (4)
LabelingJobAlgorithmsConfig: LabelingJobAlgorithmsConfigTypeDef = ..., # (5)
Tags: Sequence[TagTypeDef] = ..., # (6)
) -> CreateLabelingJobResponseTypeDef: # (7)
...
- See LabelingJobInputConfigTypeDef
- See LabelingJobOutputConfigTypeDef
- See HumanTaskConfigTypeDef
- See LabelingJobStoppingConditionsTypeDef
- See LabelingJobAlgorithmsConfigTypeDef
- See TagTypeDef
- See CreateLabelingJobResponseTypeDef
kwargs: CreateLabelingJobRequestRequestTypeDef = { # (1)
"LabelingJobName": ...,
"LabelAttributeName": ...,
"InputConfig": ...,
"OutputConfig": ...,
"RoleArn": ...,
"HumanTaskConfig": ...,
}
parent.create_labeling_job(**kwargs)
create_model
Creates a model in SageMaker.
Type annotations and code completion for boto3.client("sagemaker").create_model
method.
boto3 documentation
def create_model(
self,
*,
ModelName: str,
ExecutionRoleArn: str,
PrimaryContainer: ContainerDefinitionTypeDef = ..., # (1)
Containers: Sequence[ContainerDefinitionTypeDef] = ..., # (2)
InferenceExecutionConfig: InferenceExecutionConfigTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
VpcConfig: VpcConfigTypeDef = ..., # (5)
EnableNetworkIsolation: bool = ...,
) -> CreateModelOutputTypeDef: # (6)
...
- See ContainerDefinitionTypeDef
- See ContainerDefinitionTypeDef
- See InferenceExecutionConfigTypeDef
- See TagTypeDef
- See VpcConfigTypeDef
- See CreateModelOutputTypeDef
kwargs: CreateModelInputRequestTypeDef = { # (1)
"ModelName": ...,
"ExecutionRoleArn": ...,
}
parent.create_model(**kwargs)
create_model_bias_job_definition
Creates the definition for a model bias job.
Type annotations and code completion for boto3.client("sagemaker").create_model_bias_job_definition
method.
boto3 documentation
def create_model_bias_job_definition(
self,
*,
JobDefinitionName: str,
ModelBiasAppSpecification: ModelBiasAppSpecificationTypeDef, # (1)
ModelBiasJobInput: ModelBiasJobInputTypeDef, # (2)
ModelBiasJobOutputConfig: MonitoringOutputConfigTypeDef, # (3)
JobResources: MonitoringResourcesTypeDef, # (4)
RoleArn: str,
ModelBiasBaselineConfig: ModelBiasBaselineConfigTypeDef = ..., # (5)
NetworkConfig: MonitoringNetworkConfigTypeDef = ..., # (6)
StoppingCondition: MonitoringStoppingConditionTypeDef = ..., # (7)
Tags: Sequence[TagTypeDef] = ..., # (8)
) -> CreateModelBiasJobDefinitionResponseTypeDef: # (9)
...
- See ModelBiasAppSpecificationTypeDef
- See ModelBiasJobInputTypeDef
- See MonitoringOutputConfigTypeDef
- See MonitoringResourcesTypeDef
- See ModelBiasBaselineConfigTypeDef
- See MonitoringNetworkConfigTypeDef
- See MonitoringStoppingConditionTypeDef
- See TagTypeDef
- See CreateModelBiasJobDefinitionResponseTypeDef
kwargs: CreateModelBiasJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
"ModelBiasAppSpecification": ...,
"ModelBiasJobInput": ...,
"ModelBiasJobOutputConfig": ...,
"JobResources": ...,
"RoleArn": ...,
}
parent.create_model_bias_job_definition(**kwargs)
create_model_card
Creates an Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").create_model_card
method.
boto3 documentation
def create_model_card(
self,
*,
ModelCardName: str,
Content: str,
ModelCardStatus: ModelCardStatusType, # (1)
SecurityConfig: ModelCardSecurityConfigTypeDef = ..., # (2)
Tags: Sequence[TagTypeDef] = ..., # (3)
) -> CreateModelCardResponseTypeDef: # (4)
...
- See ModelCardStatusType
- See ModelCardSecurityConfigTypeDef
- See TagTypeDef
- See CreateModelCardResponseTypeDef
kwargs: CreateModelCardRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
"Content": ...,
"ModelCardStatus": ...,
}
parent.create_model_card(**kwargs)
create_model_card_export_job
Creates an Amazon SageMaker Model Card export job.
Type annotations and code completion for boto3.client("sagemaker").create_model_card_export_job
method.
boto3 documentation
def create_model_card_export_job(
self,
*,
ModelCardName: str,
ModelCardExportJobName: str,
OutputConfig: ModelCardExportOutputConfigTypeDef, # (1)
ModelCardVersion: int = ...,
) -> CreateModelCardExportJobResponseTypeDef: # (2)
...
kwargs: CreateModelCardExportJobRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
"ModelCardExportJobName": ...,
"OutputConfig": ...,
}
parent.create_model_card_export_job(**kwargs)
create_model_explainability_job_definition
Creates the definition for a model explainability job.
Type annotations and code completion for boto3.client("sagemaker").create_model_explainability_job_definition
method.
boto3 documentation
def create_model_explainability_job_definition(
self,
*,
JobDefinitionName: str,
ModelExplainabilityAppSpecification: ModelExplainabilityAppSpecificationTypeDef, # (1)
ModelExplainabilityJobInput: ModelExplainabilityJobInputTypeDef, # (2)
ModelExplainabilityJobOutputConfig: MonitoringOutputConfigTypeDef, # (3)
JobResources: MonitoringResourcesTypeDef, # (4)
RoleArn: str,
ModelExplainabilityBaselineConfig: ModelExplainabilityBaselineConfigTypeDef = ..., # (5)
NetworkConfig: MonitoringNetworkConfigTypeDef = ..., # (6)
StoppingCondition: MonitoringStoppingConditionTypeDef = ..., # (7)
Tags: Sequence[TagTypeDef] = ..., # (8)
) -> CreateModelExplainabilityJobDefinitionResponseTypeDef: # (9)
...
- See ModelExplainabilityAppSpecificationTypeDef
- See ModelExplainabilityJobInputTypeDef
- See MonitoringOutputConfigTypeDef
- See MonitoringResourcesTypeDef
- See ModelExplainabilityBaselineConfigTypeDef
- See MonitoringNetworkConfigTypeDef
- See MonitoringStoppingConditionTypeDef
- See TagTypeDef
- See CreateModelExplainabilityJobDefinitionResponseTypeDef
kwargs: CreateModelExplainabilityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
"ModelExplainabilityAppSpecification": ...,
"ModelExplainabilityJobInput": ...,
"ModelExplainabilityJobOutputConfig": ...,
"JobResources": ...,
"RoleArn": ...,
}
parent.create_model_explainability_job_definition(**kwargs)
create_model_package
Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group.
Type annotations and code completion for boto3.client("sagemaker").create_model_package
method.
boto3 documentation
def create_model_package(
self,
*,
ModelPackageName: str = ...,
ModelPackageGroupName: str = ...,
ModelPackageDescription: str = ...,
InferenceSpecification: InferenceSpecificationTypeDef = ..., # (1)
ValidationSpecification: ModelPackageValidationSpecificationTypeDef = ..., # (2)
SourceAlgorithmSpecification: SourceAlgorithmSpecificationTypeDef = ..., # (3)
CertifyForMarketplace: bool = ...,
Tags: Sequence[TagTypeDef] = ..., # (4)
ModelApprovalStatus: ModelApprovalStatusType = ..., # (5)
MetadataProperties: MetadataPropertiesTypeDef = ..., # (6)
ModelMetrics: ModelMetricsTypeDef = ..., # (7)
ClientToken: str = ...,
CustomerMetadataProperties: Mapping[str, str] = ...,
DriftCheckBaselines: DriftCheckBaselinesTypeDef = ..., # (8)
Domain: str = ...,
Task: str = ...,
SamplePayloadUrl: str = ...,
AdditionalInferenceSpecifications: Sequence[AdditionalInferenceSpecificationDefinitionTypeDef] = ..., # (9)
) -> CreateModelPackageOutputTypeDef: # (10)
...
- See InferenceSpecificationTypeDef
- See ModelPackageValidationSpecificationTypeDef
- See SourceAlgorithmSpecificationTypeDef
- See TagTypeDef
- See ModelApprovalStatusType
- See MetadataPropertiesTypeDef
- See ModelMetricsTypeDef
- See DriftCheckBaselinesTypeDef
- See AdditionalInferenceSpecificationDefinitionTypeDef
- See CreateModelPackageOutputTypeDef
kwargs: CreateModelPackageInputRequestTypeDef = { # (1)
"ModelPackageName": ...,
}
parent.create_model_package(**kwargs)
create_model_package_group
Creates a model group.
Type annotations and code completion for boto3.client("sagemaker").create_model_package_group
method.
boto3 documentation
def create_model_package_group(
self,
*,
ModelPackageGroupName: str,
ModelPackageGroupDescription: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
) -> CreateModelPackageGroupOutputTypeDef: # (2)
...
kwargs: CreateModelPackageGroupInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
}
parent.create_model_package_group(**kwargs)
create_model_quality_job_definition
Creates a definition for a job that monitors model quality and drift.
Type annotations and code completion for boto3.client("sagemaker").create_model_quality_job_definition
method.
boto3 documentation
def create_model_quality_job_definition(
self,
*,
JobDefinitionName: str,
ModelQualityAppSpecification: ModelQualityAppSpecificationTypeDef, # (1)
ModelQualityJobInput: ModelQualityJobInputTypeDef, # (2)
ModelQualityJobOutputConfig: MonitoringOutputConfigTypeDef, # (3)
JobResources: MonitoringResourcesTypeDef, # (4)
RoleArn: str,
ModelQualityBaselineConfig: ModelQualityBaselineConfigTypeDef = ..., # (5)
NetworkConfig: MonitoringNetworkConfigTypeDef = ..., # (6)
StoppingCondition: MonitoringStoppingConditionTypeDef = ..., # (7)
Tags: Sequence[TagTypeDef] = ..., # (8)
) -> CreateModelQualityJobDefinitionResponseTypeDef: # (9)
...
- See ModelQualityAppSpecificationTypeDef
- See ModelQualityJobInputTypeDef
- See MonitoringOutputConfigTypeDef
- See MonitoringResourcesTypeDef
- See ModelQualityBaselineConfigTypeDef
- See MonitoringNetworkConfigTypeDef
- See MonitoringStoppingConditionTypeDef
- See TagTypeDef
- See CreateModelQualityJobDefinitionResponseTypeDef
kwargs: CreateModelQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
"ModelQualityAppSpecification": ...,
"ModelQualityJobInput": ...,
"ModelQualityJobOutputConfig": ...,
"JobResources": ...,
"RoleArn": ...,
}
parent.create_model_quality_job_definition(**kwargs)
create_monitoring_schedule
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.
Type annotations and code completion for boto3.client("sagemaker").create_monitoring_schedule
method.
boto3 documentation
def create_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
MonitoringScheduleConfig: MonitoringScheduleConfigTypeDef, # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateMonitoringScheduleResponseTypeDef: # (3)
...
kwargs: CreateMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
"MonitoringScheduleConfig": ...,
}
parent.create_monitoring_schedule(**kwargs)
create_notebook_instance
Creates an SageMaker notebook instance.
Type annotations and code completion for boto3.client("sagemaker").create_notebook_instance
method.
boto3 documentation
def create_notebook_instance(
self,
*,
NotebookInstanceName: str,
InstanceType: InstanceTypeType, # (1)
RoleArn: str,
SubnetId: str = ...,
SecurityGroupIds: Sequence[str] = ...,
KmsKeyId: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
LifecycleConfigName: str = ...,
DirectInternetAccess: DirectInternetAccessType = ..., # (3)
VolumeSizeInGB: int = ...,
AcceleratorTypes: Sequence[NotebookInstanceAcceleratorTypeType] = ..., # (4)
DefaultCodeRepository: str = ...,
AdditionalCodeRepositories: Sequence[str] = ...,
RootAccess: RootAccessType = ..., # (5)
PlatformIdentifier: str = ...,
InstanceMetadataServiceConfiguration: InstanceMetadataServiceConfigurationTypeDef = ..., # (6)
) -> CreateNotebookInstanceOutputTypeDef: # (7)
...
- See InstanceTypeType
- See TagTypeDef
- See DirectInternetAccessType
- See NotebookInstanceAcceleratorTypeType
- See RootAccessType
- See InstanceMetadataServiceConfigurationTypeDef
- See CreateNotebookInstanceOutputTypeDef
kwargs: CreateNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
"InstanceType": ...,
"RoleArn": ...,
}
parent.create_notebook_instance(**kwargs)
create_notebook_instance_lifecycle_config
Creates a lifecycle configuration that you can associate with a notebook instance.
Type annotations and code completion for boto3.client("sagemaker").create_notebook_instance_lifecycle_config
method.
boto3 documentation
def create_notebook_instance_lifecycle_config(
self,
*,
NotebookInstanceLifecycleConfigName: str,
OnCreate: Sequence[NotebookInstanceLifecycleHookTypeDef] = ..., # (1)
OnStart: Sequence[NotebookInstanceLifecycleHookTypeDef] = ..., # (1)
) -> CreateNotebookInstanceLifecycleConfigOutputTypeDef: # (3)
...
- See NotebookInstanceLifecycleHookTypeDef
- See NotebookInstanceLifecycleHookTypeDef
- See CreateNotebookInstanceLifecycleConfigOutputTypeDef
kwargs: CreateNotebookInstanceLifecycleConfigInputRequestTypeDef = { # (1)
"NotebookInstanceLifecycleConfigName": ...,
}
parent.create_notebook_instance_lifecycle_config(**kwargs)
create_pipeline
Creates a pipeline using a JSON pipeline definition.
Type annotations and code completion for boto3.client("sagemaker").create_pipeline
method.
boto3 documentation
def create_pipeline(
self,
*,
PipelineName: str,
ClientRequestToken: str,
RoleArn: str,
PipelineDisplayName: str = ...,
PipelineDefinition: str = ...,
PipelineDefinitionS3Location: PipelineDefinitionS3LocationTypeDef = ..., # (1)
PipelineDescription: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
ParallelismConfiguration: ParallelismConfigurationTypeDef = ..., # (3)
) -> CreatePipelineResponseTypeDef: # (4)
...
- See PipelineDefinitionS3LocationTypeDef
- See TagTypeDef
- See ParallelismConfigurationTypeDef
- See CreatePipelineResponseTypeDef
kwargs: CreatePipelineRequestRequestTypeDef = { # (1)
"PipelineName": ...,
"ClientRequestToken": ...,
"RoleArn": ...,
}
parent.create_pipeline(**kwargs)
create_presigned_domain_url
Creates a URL for a specified UserProfile in a Domain.
Type annotations and code completion for boto3.client("sagemaker").create_presigned_domain_url
method.
boto3 documentation
def create_presigned_domain_url(
self,
*,
DomainId: str,
UserProfileName: str,
SessionExpirationDurationInSeconds: int = ...,
ExpiresInSeconds: int = ...,
SpaceName: str = ...,
) -> CreatePresignedDomainUrlResponseTypeDef: # (1)
...
kwargs: CreatePresignedDomainUrlRequestRequestTypeDef = { # (1)
"DomainId": ...,
"UserProfileName": ...,
}
parent.create_presigned_domain_url(**kwargs)
create_presigned_notebook_instance_url
Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
Type annotations and code completion for boto3.client("sagemaker").create_presigned_notebook_instance_url
method.
boto3 documentation
def create_presigned_notebook_instance_url(
self,
*,
NotebookInstanceName: str,
SessionExpirationDurationInSeconds: int = ...,
) -> CreatePresignedNotebookInstanceUrlOutputTypeDef: # (1)
...
kwargs: CreatePresignedNotebookInstanceUrlInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.create_presigned_notebook_instance_url(**kwargs)
create_processing_job
Creates a processing job.
Type annotations and code completion for boto3.client("sagemaker").create_processing_job
method.
boto3 documentation
def create_processing_job(
self,
*,
ProcessingJobName: str,
ProcessingResources: ProcessingResourcesTypeDef, # (1)
AppSpecification: AppSpecificationTypeDef, # (2)
RoleArn: str,
ProcessingInputs: Sequence[ProcessingInputTypeDef] = ..., # (3)
ProcessingOutputConfig: ProcessingOutputConfigTypeDef = ..., # (4)
StoppingCondition: ProcessingStoppingConditionTypeDef = ..., # (5)
Environment: Mapping[str, str] = ...,
NetworkConfig: NetworkConfigTypeDef = ..., # (6)
Tags: Sequence[TagTypeDef] = ..., # (7)
ExperimentConfig: ExperimentConfigTypeDef = ..., # (8)
) -> CreateProcessingJobResponseTypeDef: # (9)
...
- See ProcessingResourcesTypeDef
- See AppSpecificationTypeDef
- See ProcessingInputTypeDef
- See ProcessingOutputConfigTypeDef
- See ProcessingStoppingConditionTypeDef
- See NetworkConfigTypeDef
- See TagTypeDef
- See ExperimentConfigTypeDef
- See CreateProcessingJobResponseTypeDef
kwargs: CreateProcessingJobRequestRequestTypeDef = { # (1)
"ProcessingJobName": ...,
"ProcessingResources": ...,
"AppSpecification": ...,
"RoleArn": ...,
}
parent.create_processing_job(**kwargs)
create_project
Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
Type annotations and code completion for boto3.client("sagemaker").create_project
method.
boto3 documentation
def create_project(
self,
*,
ProjectName: str,
ServiceCatalogProvisioningDetails: ServiceCatalogProvisioningDetailsTypeDef, # (1)
ProjectDescription: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateProjectOutputTypeDef: # (3)
...
kwargs: CreateProjectInputRequestTypeDef = { # (1)
"ProjectName": ...,
"ServiceCatalogProvisioningDetails": ...,
}
parent.create_project(**kwargs)
create_space
Creates a space used for real time collaboration in a Domain.
Type annotations and code completion for boto3.client("sagemaker").create_space
method.
boto3 documentation
def create_space(
self,
*,
DomainId: str,
SpaceName: str,
Tags: Sequence[TagTypeDef] = ..., # (1)
SpaceSettings: SpaceSettingsTypeDef = ..., # (2)
) -> CreateSpaceResponseTypeDef: # (3)
...
- See TagTypeDef
- See SpaceSettingsTypeDef
- See CreateSpaceResponseTypeDef
kwargs: CreateSpaceRequestRequestTypeDef = { # (1)
"DomainId": ...,
"SpaceName": ...,
}
parent.create_space(**kwargs)
create_studio_lifecycle_config
Creates a new Studio Lifecycle Configuration.
Type annotations and code completion for boto3.client("sagemaker").create_studio_lifecycle_config
method.
boto3 documentation
def create_studio_lifecycle_config(
self,
*,
StudioLifecycleConfigName: str,
StudioLifecycleConfigContent: str,
StudioLifecycleConfigAppType: StudioLifecycleConfigAppTypeType, # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateStudioLifecycleConfigResponseTypeDef: # (3)
...
kwargs: CreateStudioLifecycleConfigRequestRequestTypeDef = { # (1)
"StudioLifecycleConfigName": ...,
"StudioLifecycleConfigContent": ...,
"StudioLifecycleConfigAppType": ...,
}
parent.create_studio_lifecycle_config(**kwargs)
create_training_job
Starts a model training job.
Type annotations and code completion for boto3.client("sagemaker").create_training_job
method.
boto3 documentation
def create_training_job(
self,
*,
TrainingJobName: str,
AlgorithmSpecification: AlgorithmSpecificationTypeDef, # (1)
RoleArn: str,
OutputDataConfig: OutputDataConfigTypeDef, # (2)
ResourceConfig: ResourceConfigTypeDef, # (3)
StoppingCondition: StoppingConditionTypeDef, # (4)
HyperParameters: Mapping[str, str] = ...,
InputDataConfig: Sequence[ChannelTypeDef] = ..., # (5)
VpcConfig: VpcConfigTypeDef = ..., # (6)
Tags: Sequence[TagTypeDef] = ..., # (7)
EnableNetworkIsolation: bool = ...,
EnableInterContainerTrafficEncryption: bool = ...,
EnableManagedSpotTraining: bool = ...,
CheckpointConfig: CheckpointConfigTypeDef = ..., # (8)
DebugHookConfig: DebugHookConfigTypeDef = ..., # (9)
DebugRuleConfigurations: Sequence[DebugRuleConfigurationTypeDef] = ..., # (10)
TensorBoardOutputConfig: TensorBoardOutputConfigTypeDef = ..., # (11)
ExperimentConfig: ExperimentConfigTypeDef = ..., # (12)
ProfilerConfig: ProfilerConfigTypeDef = ..., # (13)
ProfilerRuleConfigurations: Sequence[ProfilerRuleConfigurationTypeDef] = ..., # (14)
Environment: Mapping[str, str] = ...,
RetryStrategy: RetryStrategyTypeDef = ..., # (15)
) -> CreateTrainingJobResponseTypeDef: # (16)
...
- See AlgorithmSpecificationTypeDef
- See OutputDataConfigTypeDef
- See ResourceConfigTypeDef
- See StoppingConditionTypeDef
- See ChannelTypeDef
- See VpcConfigTypeDef
- See TagTypeDef
- See CheckpointConfigTypeDef
- See DebugHookConfigTypeDef
- See DebugRuleConfigurationTypeDef
- See TensorBoardOutputConfigTypeDef
- See ExperimentConfigTypeDef
- See ProfilerConfigTypeDef
- See ProfilerRuleConfigurationTypeDef
- See RetryStrategyTypeDef
- See CreateTrainingJobResponseTypeDef
kwargs: CreateTrainingJobRequestRequestTypeDef = { # (1)
"TrainingJobName": ...,
"AlgorithmSpecification": ...,
"RoleArn": ...,
"OutputDataConfig": ...,
"ResourceConfig": ...,
"StoppingCondition": ...,
}
parent.create_training_job(**kwargs)
create_transform_job
Starts a transform job.
Type annotations and code completion for boto3.client("sagemaker").create_transform_job
method.
boto3 documentation
def create_transform_job(
self,
*,
TransformJobName: str,
ModelName: str,
TransformInput: TransformInputTypeDef, # (1)
TransformOutput: TransformOutputTypeDef, # (2)
TransformResources: TransformResourcesTypeDef, # (3)
MaxConcurrentTransforms: int = ...,
ModelClientConfig: ModelClientConfigTypeDef = ..., # (4)
MaxPayloadInMB: int = ...,
BatchStrategy: BatchStrategyType = ..., # (5)
Environment: Mapping[str, str] = ...,
DataCaptureConfig: BatchDataCaptureConfigTypeDef = ..., # (6)
DataProcessing: DataProcessingTypeDef = ..., # (7)
Tags: Sequence[TagTypeDef] = ..., # (8)
ExperimentConfig: ExperimentConfigTypeDef = ..., # (9)
) -> CreateTransformJobResponseTypeDef: # (10)
...
- See TransformInputTypeDef
- See TransformOutputTypeDef
- See TransformResourcesTypeDef
- See ModelClientConfigTypeDef
- See BatchStrategyType
- See BatchDataCaptureConfigTypeDef
- See DataProcessingTypeDef
- See TagTypeDef
- See ExperimentConfigTypeDef
- See CreateTransformJobResponseTypeDef
kwargs: CreateTransformJobRequestRequestTypeDef = { # (1)
"TransformJobName": ...,
"ModelName": ...,
"TransformInput": ...,
"TransformOutput": ...,
"TransformResources": ...,
}
parent.create_transform_job(**kwargs)
create_trial
Creates an SageMaker trial.
Type annotations and code completion for boto3.client("sagemaker").create_trial
method.
boto3 documentation
def create_trial(
self,
*,
TrialName: str,
ExperimentName: str,
DisplayName: str = ...,
MetadataProperties: MetadataPropertiesTypeDef = ..., # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> CreateTrialResponseTypeDef: # (3)
...
kwargs: CreateTrialRequestRequestTypeDef = { # (1)
"TrialName": ...,
"ExperimentName": ...,
}
parent.create_trial(**kwargs)
create_trial_component
Creates a trial component , which is a stage of a machine learning trial.
Type annotations and code completion for boto3.client("sagemaker").create_trial_component
method.
boto3 documentation
def create_trial_component(
self,
*,
TrialComponentName: str,
DisplayName: str = ...,
Status: TrialComponentStatusTypeDef = ..., # (1)
StartTime: Union[datetime, str] = ...,
EndTime: Union[datetime, str] = ...,
Parameters: Mapping[str, TrialComponentParameterValueTypeDef] = ..., # (2)
InputArtifacts: Mapping[str, TrialComponentArtifactTypeDef] = ..., # (3)
OutputArtifacts: Mapping[str, TrialComponentArtifactTypeDef] = ..., # (3)
MetadataProperties: MetadataPropertiesTypeDef = ..., # (5)
Tags: Sequence[TagTypeDef] = ..., # (6)
) -> CreateTrialComponentResponseTypeDef: # (7)
...
- See TrialComponentStatusTypeDef
- See TrialComponentParameterValueTypeDef
- See TrialComponentArtifactTypeDef
- See TrialComponentArtifactTypeDef
- See MetadataPropertiesTypeDef
- See TagTypeDef
- See CreateTrialComponentResponseTypeDef
kwargs: CreateTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
}
parent.create_trial_component(**kwargs)
create_user_profile
Creates a user profile.
Type annotations and code completion for boto3.client("sagemaker").create_user_profile
method.
boto3 documentation
def create_user_profile(
self,
*,
DomainId: str,
UserProfileName: str,
SingleSignOnUserIdentifier: str = ...,
SingleSignOnUserValue: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
UserSettings: UserSettingsTypeDef = ..., # (2)
) -> CreateUserProfileResponseTypeDef: # (3)
...
kwargs: CreateUserProfileRequestRequestTypeDef = { # (1)
"DomainId": ...,
"UserProfileName": ...,
}
parent.create_user_profile(**kwargs)
create_workforce
Use this operation to create a workforce.
Type annotations and code completion for boto3.client("sagemaker").create_workforce
method.
boto3 documentation
def create_workforce(
self,
*,
WorkforceName: str,
CognitoConfig: CognitoConfigTypeDef = ..., # (1)
OidcConfig: OidcConfigTypeDef = ..., # (2)
SourceIpConfig: SourceIpConfigTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
WorkforceVpcConfig: WorkforceVpcConfigRequestTypeDef = ..., # (5)
) -> CreateWorkforceResponseTypeDef: # (6)
...
- See CognitoConfigTypeDef
- See OidcConfigTypeDef
- See SourceIpConfigTypeDef
- See TagTypeDef
- See WorkforceVpcConfigRequestTypeDef
- See CreateWorkforceResponseTypeDef
kwargs: CreateWorkforceRequestRequestTypeDef = { # (1)
"WorkforceName": ...,
}
parent.create_workforce(**kwargs)
create_workteam
Creates a new work team for labeling your data.
Type annotations and code completion for boto3.client("sagemaker").create_workteam
method.
boto3 documentation
def create_workteam(
self,
*,
WorkteamName: str,
MemberDefinitions: Sequence[MemberDefinitionTypeDef], # (1)
Description: str,
WorkforceName: str = ...,
NotificationConfiguration: NotificationConfigurationTypeDef = ..., # (2)
Tags: Sequence[TagTypeDef] = ..., # (3)
) -> CreateWorkteamResponseTypeDef: # (4)
...
- See MemberDefinitionTypeDef
- See NotificationConfigurationTypeDef
- See TagTypeDef
- See CreateWorkteamResponseTypeDef
kwargs: CreateWorkteamRequestRequestTypeDef = { # (1)
"WorkteamName": ...,
"MemberDefinitions": ...,
"Description": ...,
}
parent.create_workteam(**kwargs)
delete_action
Deletes an action.
Type annotations and code completion for boto3.client("sagemaker").delete_action
method.
boto3 documentation
def delete_action(
self,
*,
ActionName: str,
) -> DeleteActionResponseTypeDef: # (1)
...
kwargs: DeleteActionRequestRequestTypeDef = { # (1)
"ActionName": ...,
}
parent.delete_action(**kwargs)
delete_algorithm
Removes the specified algorithm from your account.
Type annotations and code completion for boto3.client("sagemaker").delete_algorithm
method.
boto3 documentation
def delete_algorithm(
self,
*,
AlgorithmName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteAlgorithmInputRequestTypeDef = { # (1)
"AlgorithmName": ...,
}
parent.delete_algorithm(**kwargs)
delete_app
Used to stop and delete an app.
Type annotations and code completion for boto3.client("sagemaker").delete_app
method.
boto3 documentation
def delete_app(
self,
*,
DomainId: str,
AppType: AppTypeType, # (1)
AppName: str,
UserProfileName: str = ...,
SpaceName: str = ...,
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: DeleteAppRequestRequestTypeDef = { # (1)
"DomainId": ...,
"AppType": ...,
"AppName": ...,
}
parent.delete_app(**kwargs)
delete_app_image_config
Deletes an AppImageConfig.
Type annotations and code completion for boto3.client("sagemaker").delete_app_image_config
method.
boto3 documentation
def delete_app_image_config(
self,
*,
AppImageConfigName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteAppImageConfigRequestRequestTypeDef = { # (1)
"AppImageConfigName": ...,
}
parent.delete_app_image_config(**kwargs)
delete_artifact
Deletes an artifact.
Type annotations and code completion for boto3.client("sagemaker").delete_artifact
method.
boto3 documentation
def delete_artifact(
self,
*,
ArtifactArn: str = ...,
Source: ArtifactSourceTypeDef = ..., # (1)
) -> DeleteArtifactResponseTypeDef: # (2)
...
kwargs: DeleteArtifactRequestRequestTypeDef = { # (1)
"ArtifactArn": ...,
}
parent.delete_artifact(**kwargs)
delete_association
Deletes an association.
Type annotations and code completion for boto3.client("sagemaker").delete_association
method.
boto3 documentation
def delete_association(
self,
*,
SourceArn: str,
DestinationArn: str,
) -> DeleteAssociationResponseTypeDef: # (1)
...
kwargs: DeleteAssociationRequestRequestTypeDef = { # (1)
"SourceArn": ...,
"DestinationArn": ...,
}
parent.delete_association(**kwargs)
delete_code_repository
Deletes the specified Git repository from your account.
Type annotations and code completion for boto3.client("sagemaker").delete_code_repository
method.
boto3 documentation
def delete_code_repository(
self,
*,
CodeRepositoryName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteCodeRepositoryInputRequestTypeDef = { # (1)
"CodeRepositoryName": ...,
}
parent.delete_code_repository(**kwargs)
delete_context
Deletes an context.
Type annotations and code completion for boto3.client("sagemaker").delete_context
method.
boto3 documentation
def delete_context(
self,
*,
ContextName: str,
) -> DeleteContextResponseTypeDef: # (1)
...
kwargs: DeleteContextRequestRequestTypeDef = { # (1)
"ContextName": ...,
}
parent.delete_context(**kwargs)
delete_data_quality_job_definition
Deletes a data quality monitoring job definition.
Type annotations and code completion for boto3.client("sagemaker").delete_data_quality_job_definition
method.
boto3 documentation
def delete_data_quality_job_definition(
self,
*,
JobDefinitionName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteDataQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.delete_data_quality_job_definition(**kwargs)
delete_device_fleet
Deletes a fleet.
Type annotations and code completion for boto3.client("sagemaker").delete_device_fleet
method.
boto3 documentation
def delete_device_fleet(
self,
*,
DeviceFleetName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteDeviceFleetRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
}
parent.delete_device_fleet(**kwargs)
delete_domain
Used to delete a domain.
Type annotations and code completion for boto3.client("sagemaker").delete_domain
method.
boto3 documentation
def delete_domain(
self,
*,
DomainId: str,
RetentionPolicy: RetentionPolicyTypeDef = ..., # (1)
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: DeleteDomainRequestRequestTypeDef = { # (1)
"DomainId": ...,
}
parent.delete_domain(**kwargs)
delete_edge_deployment_plan
Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
Type annotations and code completion for boto3.client("sagemaker").delete_edge_deployment_plan
method.
boto3 documentation
def delete_edge_deployment_plan(
self,
*,
EdgeDeploymentPlanName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteEdgeDeploymentPlanRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
}
parent.delete_edge_deployment_plan(**kwargs)
delete_edge_deployment_stage
Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
Type annotations and code completion for boto3.client("sagemaker").delete_edge_deployment_stage
method.
boto3 documentation
def delete_edge_deployment_stage(
self,
*,
EdgeDeploymentPlanName: str,
StageName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteEdgeDeploymentStageRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"StageName": ...,
}
parent.delete_edge_deployment_stage(**kwargs)
delete_endpoint
Deletes an endpoint.
Type annotations and code completion for boto3.client("sagemaker").delete_endpoint
method.
boto3 documentation
def delete_endpoint(
self,
*,
EndpointName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteEndpointInputRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.delete_endpoint(**kwargs)
delete_endpoint_config
Deletes an endpoint configuration.
Type annotations and code completion for boto3.client("sagemaker").delete_endpoint_config
method.
boto3 documentation
def delete_endpoint_config(
self,
*,
EndpointConfigName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteEndpointConfigInputRequestTypeDef = { # (1)
"EndpointConfigName": ...,
}
parent.delete_endpoint_config(**kwargs)
delete_experiment
Deletes an SageMaker experiment.
Type annotations and code completion for boto3.client("sagemaker").delete_experiment
method.
boto3 documentation
def delete_experiment(
self,
*,
ExperimentName: str,
) -> DeleteExperimentResponseTypeDef: # (1)
...
kwargs: DeleteExperimentRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.delete_experiment(**kwargs)
delete_feature_group
Delete the FeatureGroup
and any data that was written to the OnlineStore
of
the FeatureGroup
.
Type annotations and code completion for boto3.client("sagemaker").delete_feature_group
method.
boto3 documentation
def delete_feature_group(
self,
*,
FeatureGroupName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteFeatureGroupRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
}
parent.delete_feature_group(**kwargs)
delete_flow_definition
Deletes the specified flow definition.
Type annotations and code completion for boto3.client("sagemaker").delete_flow_definition
method.
boto3 documentation
def delete_flow_definition(
self,
*,
FlowDefinitionName: str,
) -> Dict[str, Any]:
...
kwargs: DeleteFlowDefinitionRequestRequestTypeDef = { # (1)
"FlowDefinitionName": ...,
}
parent.delete_flow_definition(**kwargs)
delete_hub
Delete a hub.
Type annotations and code completion for boto3.client("sagemaker").delete_hub
method.
boto3 documentation
def delete_hub(
self,
*,
HubName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteHubRequestRequestTypeDef = { # (1)
"HubName": ...,
}
parent.delete_hub(**kwargs)
delete_hub_content
Delete the contents of a hub.
Type annotations and code completion for boto3.client("sagemaker").delete_hub_content
method.
boto3 documentation
def delete_hub_content(
self,
*,
HubName: str,
HubContentType: HubContentTypeType, # (1)
HubContentName: str,
HubContentVersion: str,
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: DeleteHubContentRequestRequestTypeDef = { # (1)
"HubName": ...,
"HubContentType": ...,
"HubContentName": ...,
"HubContentVersion": ...,
}
parent.delete_hub_content(**kwargs)
delete_human_task_ui
Use this operation to delete a human task user interface (worker task template).
Type annotations and code completion for boto3.client("sagemaker").delete_human_task_ui
method.
boto3 documentation
kwargs: DeleteHumanTaskUiRequestRequestTypeDef = { # (1)
"HumanTaskUiName": ...,
}
parent.delete_human_task_ui(**kwargs)
delete_image
Deletes a SageMaker image and all versions of the image.
Type annotations and code completion for boto3.client("sagemaker").delete_image
method.
boto3 documentation
kwargs: DeleteImageRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.delete_image(**kwargs)
delete_image_version
Deletes a version of a SageMaker image.
Type annotations and code completion for boto3.client("sagemaker").delete_image_version
method.
boto3 documentation
def delete_image_version(
self,
*,
ImageName: str,
Version: int = ...,
Alias: str = ...,
) -> Dict[str, Any]:
...
kwargs: DeleteImageVersionRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.delete_image_version(**kwargs)
delete_inference_experiment
Deletes an inference experiment.
Type annotations and code completion for boto3.client("sagemaker").delete_inference_experiment
method.
boto3 documentation
def delete_inference_experiment(
self,
*,
Name: str,
) -> DeleteInferenceExperimentResponseTypeDef: # (1)
...
kwargs: DeleteInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
}
parent.delete_inference_experiment(**kwargs)
delete_model
Deletes a model.
Type annotations and code completion for boto3.client("sagemaker").delete_model
method.
boto3 documentation
def delete_model(
self,
*,
ModelName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelInputRequestTypeDef = { # (1)
"ModelName": ...,
}
parent.delete_model(**kwargs)
delete_model_bias_job_definition
Deletes an Amazon SageMaker model bias job definition.
Type annotations and code completion for boto3.client("sagemaker").delete_model_bias_job_definition
method.
boto3 documentation
def delete_model_bias_job_definition(
self,
*,
JobDefinitionName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelBiasJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.delete_model_bias_job_definition(**kwargs)
delete_model_card
Deletes an Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").delete_model_card
method.
boto3 documentation
def delete_model_card(
self,
*,
ModelCardName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelCardRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
}
parent.delete_model_card(**kwargs)
delete_model_explainability_job_definition
Deletes an Amazon SageMaker model explainability job definition.
Type annotations and code completion for boto3.client("sagemaker").delete_model_explainability_job_definition
method.
boto3 documentation
def delete_model_explainability_job_definition(
self,
*,
JobDefinitionName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelExplainabilityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.delete_model_explainability_job_definition(**kwargs)
delete_model_package
Deletes a model package.
Type annotations and code completion for boto3.client("sagemaker").delete_model_package
method.
boto3 documentation
def delete_model_package(
self,
*,
ModelPackageName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelPackageInputRequestTypeDef = { # (1)
"ModelPackageName": ...,
}
parent.delete_model_package(**kwargs)
delete_model_package_group
Deletes the specified model group.
Type annotations and code completion for boto3.client("sagemaker").delete_model_package_group
method.
boto3 documentation
def delete_model_package_group(
self,
*,
ModelPackageGroupName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelPackageGroupInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
}
parent.delete_model_package_group(**kwargs)
delete_model_package_group_policy
Deletes a model group resource policy.
Type annotations and code completion for boto3.client("sagemaker").delete_model_package_group_policy
method.
boto3 documentation
def delete_model_package_group_policy(
self,
*,
ModelPackageGroupName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelPackageGroupPolicyInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
}
parent.delete_model_package_group_policy(**kwargs)
delete_model_quality_job_definition
Deletes the secified model quality monitoring job definition.
Type annotations and code completion for boto3.client("sagemaker").delete_model_quality_job_definition
method.
boto3 documentation
def delete_model_quality_job_definition(
self,
*,
JobDefinitionName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteModelQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.delete_model_quality_job_definition(**kwargs)
delete_monitoring_schedule
Deletes a monitoring schedule.
Type annotations and code completion for boto3.client("sagemaker").delete_monitoring_schedule
method.
boto3 documentation
def delete_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.delete_monitoring_schedule(**kwargs)
delete_notebook_instance
Deletes an SageMaker notebook instance.
Type annotations and code completion for boto3.client("sagemaker").delete_notebook_instance
method.
boto3 documentation
def delete_notebook_instance(
self,
*,
NotebookInstanceName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.delete_notebook_instance(**kwargs)
delete_notebook_instance_lifecycle_config
Deletes a notebook instance lifecycle configuration.
Type annotations and code completion for boto3.client("sagemaker").delete_notebook_instance_lifecycle_config
method.
boto3 documentation
def delete_notebook_instance_lifecycle_config(
self,
*,
NotebookInstanceLifecycleConfigName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteNotebookInstanceLifecycleConfigInputRequestTypeDef = { # (1)
"NotebookInstanceLifecycleConfigName": ...,
}
parent.delete_notebook_instance_lifecycle_config(**kwargs)
delete_pipeline
Deletes a pipeline if there are no running instances of the pipeline.
Type annotations and code completion for boto3.client("sagemaker").delete_pipeline
method.
boto3 documentation
def delete_pipeline(
self,
*,
PipelineName: str,
ClientRequestToken: str,
) -> DeletePipelineResponseTypeDef: # (1)
...
kwargs: DeletePipelineRequestRequestTypeDef = { # (1)
"PipelineName": ...,
"ClientRequestToken": ...,
}
parent.delete_pipeline(**kwargs)
delete_project
Delete the specified project.
Type annotations and code completion for boto3.client("sagemaker").delete_project
method.
boto3 documentation
def delete_project(
self,
*,
ProjectName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteProjectInputRequestTypeDef = { # (1)
"ProjectName": ...,
}
parent.delete_project(**kwargs)
delete_space
Used to delete a space.
Type annotations and code completion for boto3.client("sagemaker").delete_space
method.
boto3 documentation
def delete_space(
self,
*,
DomainId: str,
SpaceName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteSpaceRequestRequestTypeDef = { # (1)
"DomainId": ...,
"SpaceName": ...,
}
parent.delete_space(**kwargs)
delete_studio_lifecycle_config
Deletes the Studio Lifecycle Configuration.
Type annotations and code completion for boto3.client("sagemaker").delete_studio_lifecycle_config
method.
boto3 documentation
def delete_studio_lifecycle_config(
self,
*,
StudioLifecycleConfigName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteStudioLifecycleConfigRequestRequestTypeDef = { # (1)
"StudioLifecycleConfigName": ...,
}
parent.delete_studio_lifecycle_config(**kwargs)
delete_tags
Deletes the specified tags from an SageMaker resource.
Type annotations and code completion for boto3.client("sagemaker").delete_tags
method.
boto3 documentation
def delete_tags(
self,
*,
ResourceArn: str,
TagKeys: Sequence[str],
) -> Dict[str, Any]:
...
kwargs: DeleteTagsInputRequestTypeDef = { # (1)
"ResourceArn": ...,
"TagKeys": ...,
}
parent.delete_tags(**kwargs)
delete_trial
Deletes the specified trial.
Type annotations and code completion for boto3.client("sagemaker").delete_trial
method.
boto3 documentation
def delete_trial(
self,
*,
TrialName: str,
) -> DeleteTrialResponseTypeDef: # (1)
...
kwargs: DeleteTrialRequestRequestTypeDef = { # (1)
"TrialName": ...,
}
parent.delete_trial(**kwargs)
delete_trial_component
Deletes the specified trial component.
Type annotations and code completion for boto3.client("sagemaker").delete_trial_component
method.
boto3 documentation
def delete_trial_component(
self,
*,
TrialComponentName: str,
) -> DeleteTrialComponentResponseTypeDef: # (1)
...
kwargs: DeleteTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
}
parent.delete_trial_component(**kwargs)
delete_user_profile
Deletes a user profile.
Type annotations and code completion for boto3.client("sagemaker").delete_user_profile
method.
boto3 documentation
def delete_user_profile(
self,
*,
DomainId: str,
UserProfileName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeleteUserProfileRequestRequestTypeDef = { # (1)
"DomainId": ...,
"UserProfileName": ...,
}
parent.delete_user_profile(**kwargs)
delete_workforce
Use this operation to delete a workforce.
Type annotations and code completion for boto3.client("sagemaker").delete_workforce
method.
boto3 documentation
kwargs: DeleteWorkforceRequestRequestTypeDef = { # (1)
"WorkforceName": ...,
}
parent.delete_workforce(**kwargs)
delete_workteam
Deletes an existing work team.
Type annotations and code completion for boto3.client("sagemaker").delete_workteam
method.
boto3 documentation
def delete_workteam(
self,
*,
WorkteamName: str,
) -> DeleteWorkteamResponseTypeDef: # (1)
...
kwargs: DeleteWorkteamRequestRequestTypeDef = { # (1)
"WorkteamName": ...,
}
parent.delete_workteam(**kwargs)
deregister_devices
Deregisters the specified devices.
Type annotations and code completion for boto3.client("sagemaker").deregister_devices
method.
boto3 documentation
def deregister_devices(
self,
*,
DeviceFleetName: str,
DeviceNames: Sequence[str],
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: DeregisterDevicesRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
"DeviceNames": ...,
}
parent.deregister_devices(**kwargs)
describe_action
Describes an action.
Type annotations and code completion for boto3.client("sagemaker").describe_action
method.
boto3 documentation
def describe_action(
self,
*,
ActionName: str,
) -> DescribeActionResponseTypeDef: # (1)
...
kwargs: DescribeActionRequestRequestTypeDef = { # (1)
"ActionName": ...,
}
parent.describe_action(**kwargs)
describe_algorithm
Returns a description of the specified algorithm that is in your account.
Type annotations and code completion for boto3.client("sagemaker").describe_algorithm
method.
boto3 documentation
def describe_algorithm(
self,
*,
AlgorithmName: str,
) -> DescribeAlgorithmOutputTypeDef: # (1)
...
kwargs: DescribeAlgorithmInputRequestTypeDef = { # (1)
"AlgorithmName": ...,
}
parent.describe_algorithm(**kwargs)
describe_app
Describes the app.
Type annotations and code completion for boto3.client("sagemaker").describe_app
method.
boto3 documentation
def describe_app(
self,
*,
DomainId: str,
AppType: AppTypeType, # (1)
AppName: str,
UserProfileName: str = ...,
SpaceName: str = ...,
) -> DescribeAppResponseTypeDef: # (2)
...
kwargs: DescribeAppRequestRequestTypeDef = { # (1)
"DomainId": ...,
"AppType": ...,
"AppName": ...,
}
parent.describe_app(**kwargs)
describe_app_image_config
Describes an AppImageConfig.
Type annotations and code completion for boto3.client("sagemaker").describe_app_image_config
method.
boto3 documentation
def describe_app_image_config(
self,
*,
AppImageConfigName: str,
) -> DescribeAppImageConfigResponseTypeDef: # (1)
...
kwargs: DescribeAppImageConfigRequestRequestTypeDef = { # (1)
"AppImageConfigName": ...,
}
parent.describe_app_image_config(**kwargs)
describe_artifact
Describes an artifact.
Type annotations and code completion for boto3.client("sagemaker").describe_artifact
method.
boto3 documentation
def describe_artifact(
self,
*,
ArtifactArn: str,
) -> DescribeArtifactResponseTypeDef: # (1)
...
kwargs: DescribeArtifactRequestRequestTypeDef = { # (1)
"ArtifactArn": ...,
}
parent.describe_artifact(**kwargs)
describe_auto_ml_job
Returns information about an Amazon SageMaker AutoML job.
Type annotations and code completion for boto3.client("sagemaker").describe_auto_ml_job
method.
boto3 documentation
def describe_auto_ml_job(
self,
*,
AutoMLJobName: str,
) -> DescribeAutoMLJobResponseTypeDef: # (1)
...
kwargs: DescribeAutoMLJobRequestRequestTypeDef = { # (1)
"AutoMLJobName": ...,
}
parent.describe_auto_ml_job(**kwargs)
describe_code_repository
Gets details about the specified Git repository.
Type annotations and code completion for boto3.client("sagemaker").describe_code_repository
method.
boto3 documentation
def describe_code_repository(
self,
*,
CodeRepositoryName: str,
) -> DescribeCodeRepositoryOutputTypeDef: # (1)
...
kwargs: DescribeCodeRepositoryInputRequestTypeDef = { # (1)
"CodeRepositoryName": ...,
}
parent.describe_code_repository(**kwargs)
describe_compilation_job
Returns information about a model compilation job.
Type annotations and code completion for boto3.client("sagemaker").describe_compilation_job
method.
boto3 documentation
def describe_compilation_job(
self,
*,
CompilationJobName: str,
) -> DescribeCompilationJobResponseTypeDef: # (1)
...
kwargs: DescribeCompilationJobRequestRequestTypeDef = { # (1)
"CompilationJobName": ...,
}
parent.describe_compilation_job(**kwargs)
describe_context
Describes a context.
Type annotations and code completion for boto3.client("sagemaker").describe_context
method.
boto3 documentation
def describe_context(
self,
*,
ContextName: str,
) -> DescribeContextResponseTypeDef: # (1)
...
kwargs: DescribeContextRequestRequestTypeDef = { # (1)
"ContextName": ...,
}
parent.describe_context(**kwargs)
describe_data_quality_job_definition
Gets the details of a data quality monitoring job definition.
Type annotations and code completion for boto3.client("sagemaker").describe_data_quality_job_definition
method.
boto3 documentation
def describe_data_quality_job_definition(
self,
*,
JobDefinitionName: str,
) -> DescribeDataQualityJobDefinitionResponseTypeDef: # (1)
...
kwargs: DescribeDataQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.describe_data_quality_job_definition(**kwargs)
describe_device
Describes the device.
Type annotations and code completion for boto3.client("sagemaker").describe_device
method.
boto3 documentation
def describe_device(
self,
*,
DeviceName: str,
DeviceFleetName: str,
NextToken: str = ...,
) -> DescribeDeviceResponseTypeDef: # (1)
...
kwargs: DescribeDeviceRequestRequestTypeDef = { # (1)
"DeviceName": ...,
"DeviceFleetName": ...,
}
parent.describe_device(**kwargs)
describe_device_fleet
A description of the fleet the device belongs to.
Type annotations and code completion for boto3.client("sagemaker").describe_device_fleet
method.
boto3 documentation
def describe_device_fleet(
self,
*,
DeviceFleetName: str,
) -> DescribeDeviceFleetResponseTypeDef: # (1)
...
kwargs: DescribeDeviceFleetRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
}
parent.describe_device_fleet(**kwargs)
describe_domain
The description of the domain.
Type annotations and code completion for boto3.client("sagemaker").describe_domain
method.
boto3 documentation
def describe_domain(
self,
*,
DomainId: str,
) -> DescribeDomainResponseTypeDef: # (1)
...
kwargs: DescribeDomainRequestRequestTypeDef = { # (1)
"DomainId": ...,
}
parent.describe_domain(**kwargs)
describe_edge_deployment_plan
Describes an edge deployment plan with deployment status per stage.
Type annotations and code completion for boto3.client("sagemaker").describe_edge_deployment_plan
method.
boto3 documentation
def describe_edge_deployment_plan(
self,
*,
EdgeDeploymentPlanName: str,
NextToken: str = ...,
MaxResults: int = ...,
) -> DescribeEdgeDeploymentPlanResponseTypeDef: # (1)
...
kwargs: DescribeEdgeDeploymentPlanRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
}
parent.describe_edge_deployment_plan(**kwargs)
describe_edge_packaging_job
A description of edge packaging jobs.
Type annotations and code completion for boto3.client("sagemaker").describe_edge_packaging_job
method.
boto3 documentation
def describe_edge_packaging_job(
self,
*,
EdgePackagingJobName: str,
) -> DescribeEdgePackagingJobResponseTypeDef: # (1)
...
kwargs: DescribeEdgePackagingJobRequestRequestTypeDef = { # (1)
"EdgePackagingJobName": ...,
}
parent.describe_edge_packaging_job(**kwargs)
describe_endpoint
Returns the description of an endpoint.
Type annotations and code completion for boto3.client("sagemaker").describe_endpoint
method.
boto3 documentation
def describe_endpoint(
self,
*,
EndpointName: str,
) -> DescribeEndpointOutputTypeDef: # (1)
...
kwargs: DescribeEndpointInputRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.describe_endpoint(**kwargs)
describe_endpoint_config
Returns the description of an endpoint configuration created using the
CreateEndpointConfig
API.
Type annotations and code completion for boto3.client("sagemaker").describe_endpoint_config
method.
boto3 documentation
def describe_endpoint_config(
self,
*,
EndpointConfigName: str,
) -> DescribeEndpointConfigOutputTypeDef: # (1)
...
kwargs: DescribeEndpointConfigInputRequestTypeDef = { # (1)
"EndpointConfigName": ...,
}
parent.describe_endpoint_config(**kwargs)
describe_experiment
Provides a list of an experiment's properties.
Type annotations and code completion for boto3.client("sagemaker").describe_experiment
method.
boto3 documentation
def describe_experiment(
self,
*,
ExperimentName: str,
) -> DescribeExperimentResponseTypeDef: # (1)
...
kwargs: DescribeExperimentRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.describe_experiment(**kwargs)
describe_feature_group
Use this operation to describe a FeatureGroup
.
Type annotations and code completion for boto3.client("sagemaker").describe_feature_group
method.
boto3 documentation
def describe_feature_group(
self,
*,
FeatureGroupName: str,
NextToken: str = ...,
) -> DescribeFeatureGroupResponseTypeDef: # (1)
...
kwargs: DescribeFeatureGroupRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
}
parent.describe_feature_group(**kwargs)
describe_feature_metadata
Shows the metadata for a feature within a feature group.
Type annotations and code completion for boto3.client("sagemaker").describe_feature_metadata
method.
boto3 documentation
def describe_feature_metadata(
self,
*,
FeatureGroupName: str,
FeatureName: str,
) -> DescribeFeatureMetadataResponseTypeDef: # (1)
...
kwargs: DescribeFeatureMetadataRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
"FeatureName": ...,
}
parent.describe_feature_metadata(**kwargs)
describe_flow_definition
Returns information about the specified flow definition.
Type annotations and code completion for boto3.client("sagemaker").describe_flow_definition
method.
boto3 documentation
def describe_flow_definition(
self,
*,
FlowDefinitionName: str,
) -> DescribeFlowDefinitionResponseTypeDef: # (1)
...
kwargs: DescribeFlowDefinitionRequestRequestTypeDef = { # (1)
"FlowDefinitionName": ...,
}
parent.describe_flow_definition(**kwargs)
describe_hub
Describe a hub.
Type annotations and code completion for boto3.client("sagemaker").describe_hub
method.
boto3 documentation
def describe_hub(
self,
*,
HubName: str,
) -> DescribeHubResponseTypeDef: # (1)
...
kwargs: DescribeHubRequestRequestTypeDef = { # (1)
"HubName": ...,
}
parent.describe_hub(**kwargs)
describe_hub_content
Describe the content of a hub.
Type annotations and code completion for boto3.client("sagemaker").describe_hub_content
method.
boto3 documentation
def describe_hub_content(
self,
*,
HubName: str,
HubContentType: HubContentTypeType, # (1)
HubContentName: str,
HubContentVersion: str = ...,
) -> DescribeHubContentResponseTypeDef: # (2)
...
kwargs: DescribeHubContentRequestRequestTypeDef = { # (1)
"HubName": ...,
"HubContentType": ...,
"HubContentName": ...,
}
parent.describe_hub_content(**kwargs)
describe_human_task_ui
Returns information about the requested human task user interface (worker task template).
Type annotations and code completion for boto3.client("sagemaker").describe_human_task_ui
method.
boto3 documentation
def describe_human_task_ui(
self,
*,
HumanTaskUiName: str,
) -> DescribeHumanTaskUiResponseTypeDef: # (1)
...
kwargs: DescribeHumanTaskUiRequestRequestTypeDef = { # (1)
"HumanTaskUiName": ...,
}
parent.describe_human_task_ui(**kwargs)
describe_hyper_parameter_tuning_job
Gets a description of a hyperparameter tuning job.
Type annotations and code completion for boto3.client("sagemaker").describe_hyper_parameter_tuning_job
method.
boto3 documentation
def describe_hyper_parameter_tuning_job(
self,
*,
HyperParameterTuningJobName: str,
) -> DescribeHyperParameterTuningJobResponseTypeDef: # (1)
...
kwargs: DescribeHyperParameterTuningJobRequestRequestTypeDef = { # (1)
"HyperParameterTuningJobName": ...,
}
parent.describe_hyper_parameter_tuning_job(**kwargs)
describe_image
Describes a SageMaker image.
Type annotations and code completion for boto3.client("sagemaker").describe_image
method.
boto3 documentation
def describe_image(
self,
*,
ImageName: str,
) -> DescribeImageResponseTypeDef: # (1)
...
kwargs: DescribeImageRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.describe_image(**kwargs)
describe_image_version
Describes a version of a SageMaker image.
Type annotations and code completion for boto3.client("sagemaker").describe_image_version
method.
boto3 documentation
def describe_image_version(
self,
*,
ImageName: str,
Version: int = ...,
Alias: str = ...,
) -> DescribeImageVersionResponseTypeDef: # (1)
...
kwargs: DescribeImageVersionRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.describe_image_version(**kwargs)
describe_inference_experiment
Returns details about an inference experiment.
Type annotations and code completion for boto3.client("sagemaker").describe_inference_experiment
method.
boto3 documentation
def describe_inference_experiment(
self,
*,
Name: str,
) -> DescribeInferenceExperimentResponseTypeDef: # (1)
...
kwargs: DescribeInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
}
parent.describe_inference_experiment(**kwargs)
describe_inference_recommendations_job
Provides the results of the Inference Recommender job.
Type annotations and code completion for boto3.client("sagemaker").describe_inference_recommendations_job
method.
boto3 documentation
def describe_inference_recommendations_job(
self,
*,
JobName: str,
) -> DescribeInferenceRecommendationsJobResponseTypeDef: # (1)
...
kwargs: DescribeInferenceRecommendationsJobRequestRequestTypeDef = { # (1)
"JobName": ...,
}
parent.describe_inference_recommendations_job(**kwargs)
describe_labeling_job
Gets information about a labeling job.
Type annotations and code completion for boto3.client("sagemaker").describe_labeling_job
method.
boto3 documentation
def describe_labeling_job(
self,
*,
LabelingJobName: str,
) -> DescribeLabelingJobResponseTypeDef: # (1)
...
kwargs: DescribeLabelingJobRequestRequestTypeDef = { # (1)
"LabelingJobName": ...,
}
parent.describe_labeling_job(**kwargs)
describe_lineage_group
Provides a list of properties for the requested lineage group.
Type annotations and code completion for boto3.client("sagemaker").describe_lineage_group
method.
boto3 documentation
def describe_lineage_group(
self,
*,
LineageGroupName: str,
) -> DescribeLineageGroupResponseTypeDef: # (1)
...
kwargs: DescribeLineageGroupRequestRequestTypeDef = { # (1)
"LineageGroupName": ...,
}
parent.describe_lineage_group(**kwargs)
describe_model
Describes a model that you created using the CreateModel
API.
Type annotations and code completion for boto3.client("sagemaker").describe_model
method.
boto3 documentation
def describe_model(
self,
*,
ModelName: str,
) -> DescribeModelOutputTypeDef: # (1)
...
kwargs: DescribeModelInputRequestTypeDef = { # (1)
"ModelName": ...,
}
parent.describe_model(**kwargs)
describe_model_bias_job_definition
Returns a description of a model bias job definition.
Type annotations and code completion for boto3.client("sagemaker").describe_model_bias_job_definition
method.
boto3 documentation
def describe_model_bias_job_definition(
self,
*,
JobDefinitionName: str,
) -> DescribeModelBiasJobDefinitionResponseTypeDef: # (1)
...
kwargs: DescribeModelBiasJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.describe_model_bias_job_definition(**kwargs)
describe_model_card
Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").describe_model_card
method.
boto3 documentation
def describe_model_card(
self,
*,
ModelCardName: str,
ModelCardVersion: int = ...,
) -> DescribeModelCardResponseTypeDef: # (1)
...
kwargs: DescribeModelCardRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
}
parent.describe_model_card(**kwargs)
describe_model_card_export_job
Describes an Amazon SageMaker Model Card export job.
Type annotations and code completion for boto3.client("sagemaker").describe_model_card_export_job
method.
boto3 documentation
def describe_model_card_export_job(
self,
*,
ModelCardExportJobArn: str,
) -> DescribeModelCardExportJobResponseTypeDef: # (1)
...
kwargs: DescribeModelCardExportJobRequestRequestTypeDef = { # (1)
"ModelCardExportJobArn": ...,
}
parent.describe_model_card_export_job(**kwargs)
describe_model_explainability_job_definition
Returns a description of a model explainability job definition.
Type annotations and code completion for boto3.client("sagemaker").describe_model_explainability_job_definition
method.
boto3 documentation
def describe_model_explainability_job_definition(
self,
*,
JobDefinitionName: str,
) -> DescribeModelExplainabilityJobDefinitionResponseTypeDef: # (1)
...
kwargs: DescribeModelExplainabilityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.describe_model_explainability_job_definition(**kwargs)
describe_model_package
Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
Type annotations and code completion for boto3.client("sagemaker").describe_model_package
method.
boto3 documentation
def describe_model_package(
self,
*,
ModelPackageName: str,
) -> DescribeModelPackageOutputTypeDef: # (1)
...
kwargs: DescribeModelPackageInputRequestTypeDef = { # (1)
"ModelPackageName": ...,
}
parent.describe_model_package(**kwargs)
describe_model_package_group
Gets a description for the specified model group.
Type annotations and code completion for boto3.client("sagemaker").describe_model_package_group
method.
boto3 documentation
def describe_model_package_group(
self,
*,
ModelPackageGroupName: str,
) -> DescribeModelPackageGroupOutputTypeDef: # (1)
...
kwargs: DescribeModelPackageGroupInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
}
parent.describe_model_package_group(**kwargs)
describe_model_quality_job_definition
Returns a description of a model quality job definition.
Type annotations and code completion for boto3.client("sagemaker").describe_model_quality_job_definition
method.
boto3 documentation
def describe_model_quality_job_definition(
self,
*,
JobDefinitionName: str,
) -> DescribeModelQualityJobDefinitionResponseTypeDef: # (1)
...
kwargs: DescribeModelQualityJobDefinitionRequestRequestTypeDef = { # (1)
"JobDefinitionName": ...,
}
parent.describe_model_quality_job_definition(**kwargs)
describe_monitoring_schedule
Describes the schedule for a monitoring job.
Type annotations and code completion for boto3.client("sagemaker").describe_monitoring_schedule
method.
boto3 documentation
def describe_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
) -> DescribeMonitoringScheduleResponseTypeDef: # (1)
...
kwargs: DescribeMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.describe_monitoring_schedule(**kwargs)
describe_notebook_instance
Returns information about a notebook instance.
Type annotations and code completion for boto3.client("sagemaker").describe_notebook_instance
method.
boto3 documentation
def describe_notebook_instance(
self,
*,
NotebookInstanceName: str,
) -> DescribeNotebookInstanceOutputTypeDef: # (1)
...
kwargs: DescribeNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.describe_notebook_instance(**kwargs)
describe_notebook_instance_lifecycle_config
Returns a description of a notebook instance lifecycle configuration.
Type annotations and code completion for boto3.client("sagemaker").describe_notebook_instance_lifecycle_config
method.
boto3 documentation
def describe_notebook_instance_lifecycle_config(
self,
*,
NotebookInstanceLifecycleConfigName: str,
) -> DescribeNotebookInstanceLifecycleConfigOutputTypeDef: # (1)
...
kwargs: DescribeNotebookInstanceLifecycleConfigInputRequestTypeDef = { # (1)
"NotebookInstanceLifecycleConfigName": ...,
}
parent.describe_notebook_instance_lifecycle_config(**kwargs)
describe_pipeline
Describes the details of a pipeline.
Type annotations and code completion for boto3.client("sagemaker").describe_pipeline
method.
boto3 documentation
def describe_pipeline(
self,
*,
PipelineName: str,
) -> DescribePipelineResponseTypeDef: # (1)
...
kwargs: DescribePipelineRequestRequestTypeDef = { # (1)
"PipelineName": ...,
}
parent.describe_pipeline(**kwargs)
describe_pipeline_definition_for_execution
Describes the details of an execution's pipeline definition.
Type annotations and code completion for boto3.client("sagemaker").describe_pipeline_definition_for_execution
method.
boto3 documentation
def describe_pipeline_definition_for_execution(
self,
*,
PipelineExecutionArn: str,
) -> DescribePipelineDefinitionForExecutionResponseTypeDef: # (1)
...
kwargs: DescribePipelineDefinitionForExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
}
parent.describe_pipeline_definition_for_execution(**kwargs)
describe_pipeline_execution
Describes the details of a pipeline execution.
Type annotations and code completion for boto3.client("sagemaker").describe_pipeline_execution
method.
boto3 documentation
def describe_pipeline_execution(
self,
*,
PipelineExecutionArn: str,
) -> DescribePipelineExecutionResponseTypeDef: # (1)
...
kwargs: DescribePipelineExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
}
parent.describe_pipeline_execution(**kwargs)
describe_processing_job
Returns a description of a processing job.
Type annotations and code completion for boto3.client("sagemaker").describe_processing_job
method.
boto3 documentation
def describe_processing_job(
self,
*,
ProcessingJobName: str,
) -> DescribeProcessingJobResponseTypeDef: # (1)
...
kwargs: DescribeProcessingJobRequestRequestTypeDef = { # (1)
"ProcessingJobName": ...,
}
parent.describe_processing_job(**kwargs)
describe_project
Describes the details of a project.
Type annotations and code completion for boto3.client("sagemaker").describe_project
method.
boto3 documentation
def describe_project(
self,
*,
ProjectName: str,
) -> DescribeProjectOutputTypeDef: # (1)
...
kwargs: DescribeProjectInputRequestTypeDef = { # (1)
"ProjectName": ...,
}
parent.describe_project(**kwargs)
describe_space
Describes the space.
Type annotations and code completion for boto3.client("sagemaker").describe_space
method.
boto3 documentation
def describe_space(
self,
*,
DomainId: str,
SpaceName: str,
) -> DescribeSpaceResponseTypeDef: # (1)
...
kwargs: DescribeSpaceRequestRequestTypeDef = { # (1)
"DomainId": ...,
"SpaceName": ...,
}
parent.describe_space(**kwargs)
describe_studio_lifecycle_config
Describes the Studio Lifecycle Configuration.
Type annotations and code completion for boto3.client("sagemaker").describe_studio_lifecycle_config
method.
boto3 documentation
def describe_studio_lifecycle_config(
self,
*,
StudioLifecycleConfigName: str,
) -> DescribeStudioLifecycleConfigResponseTypeDef: # (1)
...
kwargs: DescribeStudioLifecycleConfigRequestRequestTypeDef = { # (1)
"StudioLifecycleConfigName": ...,
}
parent.describe_studio_lifecycle_config(**kwargs)
describe_subscribed_workteam
Gets information about a work team provided by a vendor.
Type annotations and code completion for boto3.client("sagemaker").describe_subscribed_workteam
method.
boto3 documentation
def describe_subscribed_workteam(
self,
*,
WorkteamArn: str,
) -> DescribeSubscribedWorkteamResponseTypeDef: # (1)
...
kwargs: DescribeSubscribedWorkteamRequestRequestTypeDef = { # (1)
"WorkteamArn": ...,
}
parent.describe_subscribed_workteam(**kwargs)
describe_training_job
Returns information about a training job.
Type annotations and code completion for boto3.client("sagemaker").describe_training_job
method.
boto3 documentation
def describe_training_job(
self,
*,
TrainingJobName: str,
) -> DescribeTrainingJobResponseTypeDef: # (1)
...
kwargs: DescribeTrainingJobRequestRequestTypeDef = { # (1)
"TrainingJobName": ...,
}
parent.describe_training_job(**kwargs)
describe_transform_job
Returns information about a transform job.
Type annotations and code completion for boto3.client("sagemaker").describe_transform_job
method.
boto3 documentation
def describe_transform_job(
self,
*,
TransformJobName: str,
) -> DescribeTransformJobResponseTypeDef: # (1)
...
kwargs: DescribeTransformJobRequestRequestTypeDef = { # (1)
"TransformJobName": ...,
}
parent.describe_transform_job(**kwargs)
describe_trial
Provides a list of a trial's properties.
Type annotations and code completion for boto3.client("sagemaker").describe_trial
method.
boto3 documentation
def describe_trial(
self,
*,
TrialName: str,
) -> DescribeTrialResponseTypeDef: # (1)
...
kwargs: DescribeTrialRequestRequestTypeDef = { # (1)
"TrialName": ...,
}
parent.describe_trial(**kwargs)
describe_trial_component
Provides a list of a trials component's properties.
Type annotations and code completion for boto3.client("sagemaker").describe_trial_component
method.
boto3 documentation
def describe_trial_component(
self,
*,
TrialComponentName: str,
) -> DescribeTrialComponentResponseTypeDef: # (1)
...
kwargs: DescribeTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
}
parent.describe_trial_component(**kwargs)
describe_user_profile
Describes a user profile.
Type annotations and code completion for boto3.client("sagemaker").describe_user_profile
method.
boto3 documentation
def describe_user_profile(
self,
*,
DomainId: str,
UserProfileName: str,
) -> DescribeUserProfileResponseTypeDef: # (1)
...
kwargs: DescribeUserProfileRequestRequestTypeDef = { # (1)
"DomainId": ...,
"UserProfileName": ...,
}
parent.describe_user_profile(**kwargs)
describe_workforce
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges ( CIDRs_ ).
Type annotations and code completion for boto3.client("sagemaker").describe_workforce
method.
boto3 documentation
def describe_workforce(
self,
*,
WorkforceName: str,
) -> DescribeWorkforceResponseTypeDef: # (1)
...
kwargs: DescribeWorkforceRequestRequestTypeDef = { # (1)
"WorkforceName": ...,
}
parent.describe_workforce(**kwargs)
describe_workteam
Gets information about a specific work team.
Type annotations and code completion for boto3.client("sagemaker").describe_workteam
method.
boto3 documentation
def describe_workteam(
self,
*,
WorkteamName: str,
) -> DescribeWorkteamResponseTypeDef: # (1)
...
kwargs: DescribeWorkteamRequestRequestTypeDef = { # (1)
"WorkteamName": ...,
}
parent.describe_workteam(**kwargs)
disable_sagemaker_servicecatalog_portfolio
Disables using Service Catalog in SageMaker.
Type annotations and code completion for boto3.client("sagemaker").disable_sagemaker_servicecatalog_portfolio
method.
boto3 documentation
disassociate_trial_component
Disassociates a trial component from a trial.
Type annotations and code completion for boto3.client("sagemaker").disassociate_trial_component
method.
boto3 documentation
def disassociate_trial_component(
self,
*,
TrialComponentName: str,
TrialName: str,
) -> DisassociateTrialComponentResponseTypeDef: # (1)
...
kwargs: DisassociateTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
"TrialName": ...,
}
parent.disassociate_trial_component(**kwargs)
enable_sagemaker_servicecatalog_portfolio
Enables using Service Catalog in SageMaker.
Type annotations and code completion for boto3.client("sagemaker").enable_sagemaker_servicecatalog_portfolio
method.
boto3 documentation
generate_presigned_url
Generate a presigned url given a client, its method, and arguments.
Type annotations and code completion for boto3.client("sagemaker").generate_presigned_url
method.
boto3 documentation
def generate_presigned_url(
self,
ClientMethod: str,
Params: Mapping[str, Any] = ...,
ExpiresIn: int = 3600,
HttpMethod: str = ...,
) -> str:
...
get_device_fleet_report
Describes a fleet.
Type annotations and code completion for boto3.client("sagemaker").get_device_fleet_report
method.
boto3 documentation
def get_device_fleet_report(
self,
*,
DeviceFleetName: str,
) -> GetDeviceFleetReportResponseTypeDef: # (1)
...
kwargs: GetDeviceFleetReportRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
}
parent.get_device_fleet_report(**kwargs)
get_lineage_group_policy
The resource policy for the lineage group.
Type annotations and code completion for boto3.client("sagemaker").get_lineage_group_policy
method.
boto3 documentation
def get_lineage_group_policy(
self,
*,
LineageGroupName: str,
) -> GetLineageGroupPolicyResponseTypeDef: # (1)
...
kwargs: GetLineageGroupPolicyRequestRequestTypeDef = { # (1)
"LineageGroupName": ...,
}
parent.get_lineage_group_policy(**kwargs)
get_model_package_group_policy
Gets a resource policy that manages access for a model group.
Type annotations and code completion for boto3.client("sagemaker").get_model_package_group_policy
method.
boto3 documentation
def get_model_package_group_policy(
self,
*,
ModelPackageGroupName: str,
) -> GetModelPackageGroupPolicyOutputTypeDef: # (1)
...
kwargs: GetModelPackageGroupPolicyInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
}
parent.get_model_package_group_policy(**kwargs)
get_sagemaker_servicecatalog_portfolio_status
Gets the status of Service Catalog in SageMaker.
Type annotations and code completion for boto3.client("sagemaker").get_sagemaker_servicecatalog_portfolio_status
method.
boto3 documentation
def get_sagemaker_servicecatalog_portfolio_status(
self,
) -> GetSagemakerServicecatalogPortfolioStatusOutputTypeDef: # (1)
...
get_search_suggestions
An auto-complete API for the search functionality in the SageMaker console.
Type annotations and code completion for boto3.client("sagemaker").get_search_suggestions
method.
boto3 documentation
def get_search_suggestions(
self,
*,
Resource: ResourceTypeType, # (1)
SuggestionQuery: SuggestionQueryTypeDef = ..., # (2)
) -> GetSearchSuggestionsResponseTypeDef: # (3)
...
kwargs: GetSearchSuggestionsRequestRequestTypeDef = { # (1)
"Resource": ...,
}
parent.get_search_suggestions(**kwargs)
import_hub_content
Import hub content.
Type annotations and code completion for boto3.client("sagemaker").import_hub_content
method.
boto3 documentation
def import_hub_content(
self,
*,
HubContentName: str,
HubContentType: HubContentTypeType, # (1)
DocumentSchemaVersion: str,
HubName: str,
HubContentDocument: str,
HubContentVersion: str = ...,
HubContentDisplayName: str = ...,
HubContentDescription: str = ...,
HubContentMarkdown: str = ...,
HubContentSearchKeywords: Sequence[str] = ...,
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> ImportHubContentResponseTypeDef: # (3)
...
kwargs: ImportHubContentRequestRequestTypeDef = { # (1)
"HubContentName": ...,
"HubContentType": ...,
"DocumentSchemaVersion": ...,
"HubName": ...,
"HubContentDocument": ...,
}
parent.import_hub_content(**kwargs)
list_actions
Lists the actions in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_actions
method.
boto3 documentation
def list_actions(
self,
*,
SourceUri: str = ...,
ActionType: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortActionsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListActionsResponseTypeDef: # (3)
...
- See SortActionsByType
- See SortOrderType
- See ListActionsResponseTypeDef
kwargs: ListActionsRequestRequestTypeDef = { # (1)
"SourceUri": ...,
}
parent.list_actions(**kwargs)
list_algorithms
Lists the machine learning algorithms that have been created.
Type annotations and code completion for boto3.client("sagemaker").list_algorithms
method.
boto3 documentation
def list_algorithms(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
NextToken: str = ...,
SortBy: AlgorithmSortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListAlgorithmsOutputTypeDef: # (3)
...
kwargs: ListAlgorithmsInputRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_algorithms(**kwargs)
list_aliases
Lists the aliases of a specified image or image version.
Type annotations and code completion for boto3.client("sagemaker").list_aliases
method.
boto3 documentation
def list_aliases(
self,
*,
ImageName: str,
Alias: str = ...,
Version: int = ...,
MaxResults: int = ...,
NextToken: str = ...,
) -> ListAliasesResponseTypeDef: # (1)
...
kwargs: ListAliasesRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.list_aliases(**kwargs)
list_app_image_configs
Lists the AppImageConfigs in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_app_image_configs
method.
boto3 documentation
def list_app_image_configs(
self,
*,
MaxResults: int = ...,
NextToken: str = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
ModifiedTimeBefore: Union[datetime, str] = ...,
ModifiedTimeAfter: Union[datetime, str] = ...,
SortBy: AppImageConfigSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListAppImageConfigsResponseTypeDef: # (3)
...
kwargs: ListAppImageConfigsRequestRequestTypeDef = { # (1)
"MaxResults": ...,
}
parent.list_app_image_configs(**kwargs)
list_apps
Lists apps.
Type annotations and code completion for boto3.client("sagemaker").list_apps
method.
boto3 documentation
def list_apps(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortOrder: SortOrderType = ..., # (1)
SortBy: AppSortKeyType = ..., # (2)
DomainIdEquals: str = ...,
UserProfileNameEquals: str = ...,
SpaceNameEquals: str = ...,
) -> ListAppsResponseTypeDef: # (3)
...
- See SortOrderType
- See AppSortKeyType
- See ListAppsResponseTypeDef
kwargs: ListAppsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_apps(**kwargs)
list_artifacts
Lists the artifacts in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_artifacts
method.
boto3 documentation
def list_artifacts(
self,
*,
SourceUri: str = ...,
ArtifactType: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortArtifactsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListArtifactsResponseTypeDef: # (3)
...
kwargs: ListArtifactsRequestRequestTypeDef = { # (1)
"SourceUri": ...,
}
parent.list_artifacts(**kwargs)
list_associations
Lists the associations in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_associations
method.
boto3 documentation
def list_associations(
self,
*,
SourceArn: str = ...,
DestinationArn: str = ...,
SourceType: str = ...,
DestinationType: str = ...,
AssociationType: AssociationEdgeTypeType = ..., # (1)
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortAssociationsByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListAssociationsResponseTypeDef: # (4)
...
- See AssociationEdgeTypeType
- See SortAssociationsByType
- See SortOrderType
- See ListAssociationsResponseTypeDef
kwargs: ListAssociationsRequestRequestTypeDef = { # (1)
"SourceArn": ...,
}
parent.list_associations(**kwargs)
list_auto_ml_jobs
Request a list of jobs.
Type annotations and code completion for boto3.client("sagemaker").list_auto_ml_jobs
method.
boto3 documentation
def list_auto_ml_jobs(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: AutoMLJobStatusType = ..., # (1)
SortOrder: AutoMLSortOrderType = ..., # (2)
SortBy: AutoMLSortByType = ..., # (3)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListAutoMLJobsResponseTypeDef: # (4)
...
- See AutoMLJobStatusType
- See AutoMLSortOrderType
- See AutoMLSortByType
- See ListAutoMLJobsResponseTypeDef
kwargs: ListAutoMLJobsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_auto_ml_jobs(**kwargs)
list_candidates_for_auto_ml_job
List the candidates created for the job.
Type annotations and code completion for boto3.client("sagemaker").list_candidates_for_auto_ml_job
method.
boto3 documentation
def list_candidates_for_auto_ml_job(
self,
*,
AutoMLJobName: str,
StatusEquals: CandidateStatusType = ..., # (1)
CandidateNameEquals: str = ...,
SortOrder: AutoMLSortOrderType = ..., # (2)
SortBy: CandidateSortByType = ..., # (3)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListCandidatesForAutoMLJobResponseTypeDef: # (4)
...
- See CandidateStatusType
- See AutoMLSortOrderType
- See CandidateSortByType
- See ListCandidatesForAutoMLJobResponseTypeDef
kwargs: ListCandidatesForAutoMLJobRequestRequestTypeDef = { # (1)
"AutoMLJobName": ...,
}
parent.list_candidates_for_auto_ml_job(**kwargs)
list_code_repositories
Gets a list of the Git repositories in your account.
Type annotations and code completion for boto3.client("sagemaker").list_code_repositories
method.
boto3 documentation
def list_code_repositories(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
NextToken: str = ...,
SortBy: CodeRepositorySortByType = ..., # (1)
SortOrder: CodeRepositorySortOrderType = ..., # (2)
) -> ListCodeRepositoriesOutputTypeDef: # (3)
...
kwargs: ListCodeRepositoriesInputRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_code_repositories(**kwargs)
list_compilation_jobs
Lists model compilation jobs that satisfy various filters.
Type annotations and code completion for boto3.client("sagemaker").list_compilation_jobs
method.
boto3 documentation
def list_compilation_jobs(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: CompilationJobStatusType = ..., # (1)
SortBy: ListCompilationJobsSortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
) -> ListCompilationJobsResponseTypeDef: # (4)
...
- See CompilationJobStatusType
- See ListCompilationJobsSortByType
- See SortOrderType
- See ListCompilationJobsResponseTypeDef
kwargs: ListCompilationJobsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_compilation_jobs(**kwargs)
list_contexts
Lists the contexts in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_contexts
method.
boto3 documentation
def list_contexts(
self,
*,
SourceUri: str = ...,
ContextType: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortContextsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListContextsResponseTypeDef: # (3)
...
kwargs: ListContextsRequestRequestTypeDef = { # (1)
"SourceUri": ...,
}
parent.list_contexts(**kwargs)
list_data_quality_job_definitions
Lists the data quality job definitions in your account.
Type annotations and code completion for boto3.client("sagemaker").list_data_quality_job_definitions
method.
boto3 documentation
def list_data_quality_job_definitions(
self,
*,
EndpointName: str = ...,
SortBy: MonitoringJobDefinitionSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListDataQualityJobDefinitionsResponseTypeDef: # (3)
...
- See MonitoringJobDefinitionSortKeyType
- See SortOrderType
- See ListDataQualityJobDefinitionsResponseTypeDef
kwargs: ListDataQualityJobDefinitionsRequestRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.list_data_quality_job_definitions(**kwargs)
list_device_fleets
Returns a list of devices in the fleet.
Type annotations and code completion for boto3.client("sagemaker").list_device_fleets
method.
boto3 documentation
def list_device_fleets(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
SortBy: ListDeviceFleetsSortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListDeviceFleetsResponseTypeDef: # (3)
...
kwargs: ListDeviceFleetsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_device_fleets(**kwargs)
list_devices
A list of devices.
Type annotations and code completion for boto3.client("sagemaker").list_devices
method.
boto3 documentation
def list_devices(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
LatestHeartbeatAfter: Union[datetime, str] = ...,
ModelName: str = ...,
DeviceFleetName: str = ...,
) -> ListDevicesResponseTypeDef: # (1)
...
kwargs: ListDevicesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_devices(**kwargs)
list_domains
Lists the domains.
Type annotations and code completion for boto3.client("sagemaker").list_domains
method.
boto3 documentation
def list_domains(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDomainsResponseTypeDef: # (1)
...
kwargs: ListDomainsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_domains(**kwargs)
list_edge_deployment_plans
Lists all edge deployment plans.
Type annotations and code completion for boto3.client("sagemaker").list_edge_deployment_plans
method.
boto3 documentation
def list_edge_deployment_plans(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
DeviceFleetNameContains: str = ...,
SortBy: ListEdgeDeploymentPlansSortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListEdgeDeploymentPlansResponseTypeDef: # (3)
...
kwargs: ListEdgeDeploymentPlansRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_edge_deployment_plans(**kwargs)
list_edge_packaging_jobs
Returns a list of edge packaging jobs.
Type annotations and code completion for boto3.client("sagemaker").list_edge_packaging_jobs
method.
boto3 documentation
def list_edge_packaging_jobs(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
ModelNameContains: str = ...,
StatusEquals: EdgePackagingJobStatusType = ..., # (1)
SortBy: ListEdgePackagingJobsSortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
) -> ListEdgePackagingJobsResponseTypeDef: # (4)
...
- See EdgePackagingJobStatusType
- See ListEdgePackagingJobsSortByType
- See SortOrderType
- See ListEdgePackagingJobsResponseTypeDef
kwargs: ListEdgePackagingJobsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_edge_packaging_jobs(**kwargs)
list_endpoint_configs
Lists endpoint configurations.
Type annotations and code completion for boto3.client("sagemaker").list_endpoint_configs
method.
boto3 documentation
def list_endpoint_configs(
self,
*,
SortBy: EndpointConfigSortKeyType = ..., # (1)
SortOrder: OrderKeyType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListEndpointConfigsOutputTypeDef: # (3)
...
kwargs: ListEndpointConfigsInputRequestTypeDef = { # (1)
"SortBy": ...,
}
parent.list_endpoint_configs(**kwargs)
list_endpoints
Lists endpoints.
Type annotations and code completion for boto3.client("sagemaker").list_endpoints
method.
boto3 documentation
def list_endpoints(
self,
*,
SortBy: EndpointSortKeyType = ..., # (1)
SortOrder: OrderKeyType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
StatusEquals: EndpointStatusType = ..., # (3)
) -> ListEndpointsOutputTypeDef: # (4)
...
- See EndpointSortKeyType
- See OrderKeyType
- See EndpointStatusType
- See ListEndpointsOutputTypeDef
kwargs: ListEndpointsInputRequestTypeDef = { # (1)
"SortBy": ...,
}
parent.list_endpoints(**kwargs)
list_experiments
Lists all the experiments in your account.
Type annotations and code completion for boto3.client("sagemaker").list_experiments
method.
boto3 documentation
def list_experiments(
self,
*,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortExperimentsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListExperimentsResponseTypeDef: # (3)
...
kwargs: ListExperimentsRequestRequestTypeDef = { # (1)
"CreatedAfter": ...,
}
parent.list_experiments(**kwargs)
list_feature_groups
List FeatureGroup
s based on given filter and order.
Type annotations and code completion for boto3.client("sagemaker").list_feature_groups
method.
boto3 documentation
def list_feature_groups(
self,
*,
NameContains: str = ...,
FeatureGroupStatusEquals: FeatureGroupStatusType = ..., # (1)
OfflineStoreStatusEquals: OfflineStoreStatusValueType = ..., # (2)
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
SortOrder: FeatureGroupSortOrderType = ..., # (3)
SortBy: FeatureGroupSortByType = ..., # (4)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListFeatureGroupsResponseTypeDef: # (5)
...
- See FeatureGroupStatusType
- See OfflineStoreStatusValueType
- See FeatureGroupSortOrderType
- See FeatureGroupSortByType
- See ListFeatureGroupsResponseTypeDef
kwargs: ListFeatureGroupsRequestRequestTypeDef = { # (1)
"NameContains": ...,
}
parent.list_feature_groups(**kwargs)
list_flow_definitions
Returns information about the flow definitions in your account.
Type annotations and code completion for boto3.client("sagemaker").list_flow_definitions
method.
boto3 documentation
def list_flow_definitions(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
SortOrder: SortOrderType = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListFlowDefinitionsResponseTypeDef: # (2)
...
kwargs: ListFlowDefinitionsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_flow_definitions(**kwargs)
list_hub_content_versions
List hub content versions.
Type annotations and code completion for boto3.client("sagemaker").list_hub_content_versions
method.
boto3 documentation
def list_hub_content_versions(
self,
*,
HubName: str,
HubContentType: HubContentTypeType, # (1)
HubContentName: str,
MinVersion: str = ...,
MaxSchemaVersion: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
SortBy: HubContentSortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListHubContentVersionsResponseTypeDef: # (4)
...
- See HubContentTypeType
- See HubContentSortByType
- See SortOrderType
- See ListHubContentVersionsResponseTypeDef
kwargs: ListHubContentVersionsRequestRequestTypeDef = { # (1)
"HubName": ...,
"HubContentType": ...,
"HubContentName": ...,
}
parent.list_hub_content_versions(**kwargs)
list_hub_contents
List the contents of a hub.
Type annotations and code completion for boto3.client("sagemaker").list_hub_contents
method.
boto3 documentation
def list_hub_contents(
self,
*,
HubName: str,
HubContentType: HubContentTypeType, # (1)
NameContains: str = ...,
MaxSchemaVersion: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
SortBy: HubContentSortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListHubContentsResponseTypeDef: # (4)
...
- See HubContentTypeType
- See HubContentSortByType
- See SortOrderType
- See ListHubContentsResponseTypeDef
kwargs: ListHubContentsRequestRequestTypeDef = { # (1)
"HubName": ...,
"HubContentType": ...,
}
parent.list_hub_contents(**kwargs)
list_hubs
List all existing hubs.
Type annotations and code completion for boto3.client("sagemaker").list_hubs
method.
boto3 documentation
def list_hubs(
self,
*,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
SortBy: HubSortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListHubsResponseTypeDef: # (3)
...
- See HubSortByType
- See SortOrderType
- See ListHubsResponseTypeDef
kwargs: ListHubsRequestRequestTypeDef = { # (1)
"NameContains": ...,
}
parent.list_hubs(**kwargs)
list_human_task_uis
Returns information about the human task user interfaces in your account.
Type annotations and code completion for boto3.client("sagemaker").list_human_task_uis
method.
boto3 documentation
def list_human_task_uis(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
SortOrder: SortOrderType = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListHumanTaskUisResponseTypeDef: # (2)
...
kwargs: ListHumanTaskUisRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_human_task_uis(**kwargs)
list_hyper_parameter_tuning_jobs
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
Type annotations and code completion for boto3.client("sagemaker").list_hyper_parameter_tuning_jobs
method.
boto3 documentation
def list_hyper_parameter_tuning_jobs(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortBy: HyperParameterTuningJobSortByOptionsType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NameContains: str = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
StatusEquals: HyperParameterTuningJobStatusType = ..., # (3)
) -> ListHyperParameterTuningJobsResponseTypeDef: # (4)
...
- See HyperParameterTuningJobSortByOptionsType
- See SortOrderType
- See HyperParameterTuningJobStatusType
- See ListHyperParameterTuningJobsResponseTypeDef
kwargs: ListHyperParameterTuningJobsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_hyper_parameter_tuning_jobs(**kwargs)
list_image_versions
Lists the versions of a specified image and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_image_versions
method.
boto3 documentation
def list_image_versions(
self,
*,
ImageName: str,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NextToken: str = ...,
SortBy: ImageVersionSortByType = ..., # (1)
SortOrder: ImageVersionSortOrderType = ..., # (2)
) -> ListImageVersionsResponseTypeDef: # (3)
...
kwargs: ListImageVersionsRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.list_image_versions(**kwargs)
list_images
Lists the images in your account and their properties.
Type annotations and code completion for boto3.client("sagemaker").list_images
method.
boto3 documentation
def list_images(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
NextToken: str = ...,
SortBy: ImageSortByType = ..., # (1)
SortOrder: ImageSortOrderType = ..., # (2)
) -> ListImagesResponseTypeDef: # (3)
...
kwargs: ListImagesRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_images(**kwargs)
list_inference_experiments
Returns the list of all inference experiments.
Type annotations and code completion for boto3.client("sagemaker").list_inference_experiments
method.
boto3 documentation
def list_inference_experiments(
self,
*,
NameContains: str = ...,
Type: InferenceExperimentTypeType = ..., # (1)
StatusEquals: InferenceExperimentStatusType = ..., # (2)
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
SortBy: SortInferenceExperimentsByType = ..., # (3)
SortOrder: SortOrderType = ..., # (4)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListInferenceExperimentsResponseTypeDef: # (5)
...
- See InferenceExperimentTypeType
- See InferenceExperimentStatusType
- See SortInferenceExperimentsByType
- See SortOrderType
- See ListInferenceExperimentsResponseTypeDef
kwargs: ListInferenceExperimentsRequestRequestTypeDef = { # (1)
"NameContains": ...,
}
parent.list_inference_experiments(**kwargs)
list_inference_recommendations_job_steps
Returns a list of the subtasks for an Inference Recommender job.
Type annotations and code completion for boto3.client("sagemaker").list_inference_recommendations_job_steps
method.
boto3 documentation
def list_inference_recommendations_job_steps(
self,
*,
JobName: str,
Status: RecommendationJobStatusType = ..., # (1)
StepType: RecommendationStepTypeType = ..., # (2)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListInferenceRecommendationsJobStepsResponseTypeDef: # (3)
...
- See RecommendationJobStatusType
- See RecommendationStepTypeType
- See ListInferenceRecommendationsJobStepsResponseTypeDef
kwargs: ListInferenceRecommendationsJobStepsRequestRequestTypeDef = { # (1)
"JobName": ...,
}
parent.list_inference_recommendations_job_steps(**kwargs)
list_inference_recommendations_jobs
Lists recommendation jobs that satisfy various filters.
Type annotations and code completion for boto3.client("sagemaker").list_inference_recommendations_jobs
method.
boto3 documentation
def list_inference_recommendations_jobs(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: RecommendationJobStatusType = ..., # (1)
SortBy: ListInferenceRecommendationsJobsSortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListInferenceRecommendationsJobsResponseTypeDef: # (4)
...
- See RecommendationJobStatusType
- See ListInferenceRecommendationsJobsSortByType
- See SortOrderType
- See ListInferenceRecommendationsJobsResponseTypeDef
kwargs: ListInferenceRecommendationsJobsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_inference_recommendations_jobs(**kwargs)
list_labeling_jobs
Gets a list of labeling jobs.
Type annotations and code completion for boto3.client("sagemaker").list_labeling_jobs
method.
boto3 documentation
def list_labeling_jobs(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NextToken: str = ...,
NameContains: str = ...,
SortBy: SortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
StatusEquals: LabelingJobStatusType = ..., # (3)
) -> ListLabelingJobsResponseTypeDef: # (4)
...
- See SortByType
- See SortOrderType
- See LabelingJobStatusType
- See ListLabelingJobsResponseTypeDef
kwargs: ListLabelingJobsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_labeling_jobs(**kwargs)
list_labeling_jobs_for_workteam
Gets a list of labeling jobs assigned to a specified work team.
Type annotations and code completion for boto3.client("sagemaker").list_labeling_jobs_for_workteam
method.
boto3 documentation
def list_labeling_jobs_for_workteam(
self,
*,
WorkteamArn: str,
MaxResults: int = ...,
NextToken: str = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
JobReferenceCodeContains: str = ...,
SortBy: ListLabelingJobsForWorkteamSortByOptionsType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListLabelingJobsForWorkteamResponseTypeDef: # (3)
...
- See ListLabelingJobsForWorkteamSortByOptionsType
- See SortOrderType
- See ListLabelingJobsForWorkteamResponseTypeDef
kwargs: ListLabelingJobsForWorkteamRequestRequestTypeDef = { # (1)
"WorkteamArn": ...,
}
parent.list_labeling_jobs_for_workteam(**kwargs)
list_lineage_groups
A list of lineage groups shared with your Amazon Web Services account.
Type annotations and code completion for boto3.client("sagemaker").list_lineage_groups
method.
boto3 documentation
def list_lineage_groups(
self,
*,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortLineageGroupsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListLineageGroupsResponseTypeDef: # (3)
...
kwargs: ListLineageGroupsRequestRequestTypeDef = { # (1)
"CreatedAfter": ...,
}
parent.list_lineage_groups(**kwargs)
list_model_bias_job_definitions
Lists model bias jobs definitions that satisfy various filters.
Type annotations and code completion for boto3.client("sagemaker").list_model_bias_job_definitions
method.
boto3 documentation
def list_model_bias_job_definitions(
self,
*,
EndpointName: str = ...,
SortBy: MonitoringJobDefinitionSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListModelBiasJobDefinitionsResponseTypeDef: # (3)
...
- See MonitoringJobDefinitionSortKeyType
- See SortOrderType
- See ListModelBiasJobDefinitionsResponseTypeDef
kwargs: ListModelBiasJobDefinitionsRequestRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.list_model_bias_job_definitions(**kwargs)
list_model_card_export_jobs
List the export jobs for the Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").list_model_card_export_jobs
method.
boto3 documentation
def list_model_card_export_jobs(
self,
*,
ModelCardName: str,
ModelCardVersion: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
ModelCardExportJobNameContains: str = ...,
StatusEquals: ModelCardExportJobStatusType = ..., # (1)
SortBy: ModelCardExportJobSortByType = ..., # (2)
SortOrder: ModelCardExportJobSortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListModelCardExportJobsResponseTypeDef: # (4)
...
- See ModelCardExportJobStatusType
- See ModelCardExportJobSortByType
- See ModelCardExportJobSortOrderType
- See ListModelCardExportJobsResponseTypeDef
kwargs: ListModelCardExportJobsRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
}
parent.list_model_card_export_jobs(**kwargs)
list_model_card_versions
List existing versions of an Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").list_model_card_versions
method.
boto3 documentation
def list_model_card_versions(
self,
*,
ModelCardName: str,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
ModelCardStatus: ModelCardStatusType = ..., # (1)
NextToken: str = ...,
SortBy: ModelCardVersionSortByType = ..., # (2)
SortOrder: ModelCardSortOrderType = ..., # (3)
) -> ListModelCardVersionsResponseTypeDef: # (4)
...
- See ModelCardStatusType
- See ModelCardVersionSortByType
- See ModelCardSortOrderType
- See ListModelCardVersionsResponseTypeDef
kwargs: ListModelCardVersionsRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
}
parent.list_model_card_versions(**kwargs)
list_model_cards
List existing model cards.
Type annotations and code completion for boto3.client("sagemaker").list_model_cards
method.
boto3 documentation
def list_model_cards(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
ModelCardStatus: ModelCardStatusType = ..., # (1)
NextToken: str = ...,
SortBy: ModelCardSortByType = ..., # (2)
SortOrder: ModelCardSortOrderType = ..., # (3)
) -> ListModelCardsResponseTypeDef: # (4)
...
- See ModelCardStatusType
- See ModelCardSortByType
- See ModelCardSortOrderType
- See ListModelCardsResponseTypeDef
kwargs: ListModelCardsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_model_cards(**kwargs)
list_model_explainability_job_definitions
Lists model explainability job definitions that satisfy various filters.
Type annotations and code completion for boto3.client("sagemaker").list_model_explainability_job_definitions
method.
boto3 documentation
def list_model_explainability_job_definitions(
self,
*,
EndpointName: str = ...,
SortBy: MonitoringJobDefinitionSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListModelExplainabilityJobDefinitionsResponseTypeDef: # (3)
...
- See MonitoringJobDefinitionSortKeyType
- See SortOrderType
- See ListModelExplainabilityJobDefinitionsResponseTypeDef
kwargs: ListModelExplainabilityJobDefinitionsRequestRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.list_model_explainability_job_definitions(**kwargs)
list_model_metadata
Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
Type annotations and code completion for boto3.client("sagemaker").list_model_metadata
method.
boto3 documentation
def list_model_metadata(
self,
*,
SearchExpression: ModelMetadataSearchExpressionTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListModelMetadataResponseTypeDef: # (2)
...
kwargs: ListModelMetadataRequestRequestTypeDef = { # (1)
"SearchExpression": ...,
}
parent.list_model_metadata(**kwargs)
list_model_package_groups
Gets a list of the model groups in your Amazon Web Services account.
Type annotations and code completion for boto3.client("sagemaker").list_model_package_groups
method.
boto3 documentation
def list_model_package_groups(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
NextToken: str = ...,
SortBy: ModelPackageGroupSortByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
) -> ListModelPackageGroupsOutputTypeDef: # (3)
...
kwargs: ListModelPackageGroupsInputRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_model_package_groups(**kwargs)
list_model_packages
Lists the model packages that have been created.
Type annotations and code completion for boto3.client("sagemaker").list_model_packages
method.
boto3 documentation
def list_model_packages(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
ModelApprovalStatus: ModelApprovalStatusType = ..., # (1)
ModelPackageGroupName: str = ...,
ModelPackageType: ModelPackageTypeType = ..., # (2)
NextToken: str = ...,
SortBy: ModelPackageSortByType = ..., # (3)
SortOrder: SortOrderType = ..., # (4)
) -> ListModelPackagesOutputTypeDef: # (5)
...
- See ModelApprovalStatusType
- See ModelPackageTypeType
- See ModelPackageSortByType
- See SortOrderType
- See ListModelPackagesOutputTypeDef
kwargs: ListModelPackagesInputRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_model_packages(**kwargs)
list_model_quality_job_definitions
Gets a list of model quality monitoring job definitions in your account.
Type annotations and code completion for boto3.client("sagemaker").list_model_quality_job_definitions
method.
boto3 documentation
def list_model_quality_job_definitions(
self,
*,
EndpointName: str = ...,
SortBy: MonitoringJobDefinitionSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListModelQualityJobDefinitionsResponseTypeDef: # (3)
...
- See MonitoringJobDefinitionSortKeyType
- See SortOrderType
- See ListModelQualityJobDefinitionsResponseTypeDef
kwargs: ListModelQualityJobDefinitionsRequestRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.list_model_quality_job_definitions(**kwargs)
list_models
Lists models created with the CreateModel
API.
Type annotations and code completion for boto3.client("sagemaker").list_models
method.
boto3 documentation
def list_models(
self,
*,
SortBy: ModelSortKeyType = ..., # (1)
SortOrder: OrderKeyType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
) -> ListModelsOutputTypeDef: # (3)
...
- See ModelSortKeyType
- See OrderKeyType
- See ListModelsOutputTypeDef
kwargs: ListModelsInputRequestTypeDef = { # (1)
"SortBy": ...,
}
parent.list_models(**kwargs)
list_monitoring_alert_history
Gets a list of past alerts in a model monitoring schedule.
Type annotations and code completion for boto3.client("sagemaker").list_monitoring_alert_history
method.
boto3 documentation
def list_monitoring_alert_history(
self,
*,
MonitoringScheduleName: str = ...,
MonitoringAlertName: str = ...,
SortBy: MonitoringAlertHistorySortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
StatusEquals: MonitoringAlertStatusType = ..., # (3)
) -> ListMonitoringAlertHistoryResponseTypeDef: # (4)
...
- See MonitoringAlertHistorySortKeyType
- See SortOrderType
- See MonitoringAlertStatusType
- See ListMonitoringAlertHistoryResponseTypeDef
kwargs: ListMonitoringAlertHistoryRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.list_monitoring_alert_history(**kwargs)
list_monitoring_alerts
Gets the alerts for a single monitoring schedule.
Type annotations and code completion for boto3.client("sagemaker").list_monitoring_alerts
method.
boto3 documentation
def list_monitoring_alerts(
self,
*,
MonitoringScheduleName: str,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListMonitoringAlertsResponseTypeDef: # (1)
...
kwargs: ListMonitoringAlertsRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.list_monitoring_alerts(**kwargs)
list_monitoring_executions
Returns list of all monitoring job executions.
Type annotations and code completion for boto3.client("sagemaker").list_monitoring_executions
method.
boto3 documentation
def list_monitoring_executions(
self,
*,
MonitoringScheduleName: str = ...,
EndpointName: str = ...,
SortBy: MonitoringExecutionSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
ScheduledTimeBefore: Union[datetime, str] = ...,
ScheduledTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
StatusEquals: ExecutionStatusType = ..., # (3)
MonitoringJobDefinitionName: str = ...,
MonitoringTypeEquals: MonitoringTypeType = ..., # (4)
) -> ListMonitoringExecutionsResponseTypeDef: # (5)
...
- See MonitoringExecutionSortKeyType
- See SortOrderType
- See ExecutionStatusType
- See MonitoringTypeType
- See ListMonitoringExecutionsResponseTypeDef
kwargs: ListMonitoringExecutionsRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.list_monitoring_executions(**kwargs)
list_monitoring_schedules
Returns list of all monitoring schedules.
Type annotations and code completion for boto3.client("sagemaker").list_monitoring_schedules
method.
boto3 documentation
def list_monitoring_schedules(
self,
*,
EndpointName: str = ...,
SortBy: MonitoringScheduleSortKeyType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
StatusEquals: ScheduleStatusType = ..., # (3)
MonitoringJobDefinitionName: str = ...,
MonitoringTypeEquals: MonitoringTypeType = ..., # (4)
) -> ListMonitoringSchedulesResponseTypeDef: # (5)
...
- See MonitoringScheduleSortKeyType
- See SortOrderType
- See ScheduleStatusType
- See MonitoringTypeType
- See ListMonitoringSchedulesResponseTypeDef
kwargs: ListMonitoringSchedulesRequestRequestTypeDef = { # (1)
"EndpointName": ...,
}
parent.list_monitoring_schedules(**kwargs)
list_notebook_instance_lifecycle_configs
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
Type annotations and code completion for boto3.client("sagemaker").list_notebook_instance_lifecycle_configs
method.
boto3 documentation
def list_notebook_instance_lifecycle_configs(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortBy: NotebookInstanceLifecycleConfigSortKeyType = ..., # (1)
SortOrder: NotebookInstanceLifecycleConfigSortOrderType = ..., # (2)
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
) -> ListNotebookInstanceLifecycleConfigsOutputTypeDef: # (3)
...
- See NotebookInstanceLifecycleConfigSortKeyType
- See NotebookInstanceLifecycleConfigSortOrderType
- See ListNotebookInstanceLifecycleConfigsOutputTypeDef
kwargs: ListNotebookInstanceLifecycleConfigsInputRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_notebook_instance_lifecycle_configs(**kwargs)
list_notebook_instances
Returns a list of the SageMaker notebook instances in the requester's account in an Amazon Web Services Region.
Type annotations and code completion for boto3.client("sagemaker").list_notebook_instances
method.
boto3 documentation
def list_notebook_instances(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortBy: NotebookInstanceSortKeyType = ..., # (1)
SortOrder: NotebookInstanceSortOrderType = ..., # (2)
NameContains: str = ...,
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
StatusEquals: NotebookInstanceStatusType = ..., # (3)
NotebookInstanceLifecycleConfigNameContains: str = ...,
DefaultCodeRepositoryContains: str = ...,
AdditionalCodeRepositoryEquals: str = ...,
) -> ListNotebookInstancesOutputTypeDef: # (4)
...
- See NotebookInstanceSortKeyType
- See NotebookInstanceSortOrderType
- See NotebookInstanceStatusType
- See ListNotebookInstancesOutputTypeDef
kwargs: ListNotebookInstancesInputRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_notebook_instances(**kwargs)
list_pipeline_execution_steps
Gets a list of PipeLineExecutionStep
objects.
Type annotations and code completion for boto3.client("sagemaker").list_pipeline_execution_steps
method.
boto3 documentation
def list_pipeline_execution_steps(
self,
*,
PipelineExecutionArn: str = ...,
NextToken: str = ...,
MaxResults: int = ...,
SortOrder: SortOrderType = ..., # (1)
) -> ListPipelineExecutionStepsResponseTypeDef: # (2)
...
kwargs: ListPipelineExecutionStepsRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
}
parent.list_pipeline_execution_steps(**kwargs)
list_pipeline_executions
Gets a list of the pipeline executions.
Type annotations and code completion for boto3.client("sagemaker").list_pipeline_executions
method.
boto3 documentation
def list_pipeline_executions(
self,
*,
PipelineName: str,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortPipelineExecutionsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListPipelineExecutionsResponseTypeDef: # (3)
...
kwargs: ListPipelineExecutionsRequestRequestTypeDef = { # (1)
"PipelineName": ...,
}
parent.list_pipeline_executions(**kwargs)
list_pipeline_parameters_for_execution
Gets a list of parameters for a pipeline execution.
Type annotations and code completion for boto3.client("sagemaker").list_pipeline_parameters_for_execution
method.
boto3 documentation
def list_pipeline_parameters_for_execution(
self,
*,
PipelineExecutionArn: str,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListPipelineParametersForExecutionResponseTypeDef: # (1)
...
kwargs: ListPipelineParametersForExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
}
parent.list_pipeline_parameters_for_execution(**kwargs)
list_pipelines
Gets a list of pipelines.
Type annotations and code completion for boto3.client("sagemaker").list_pipelines
method.
boto3 documentation
def list_pipelines(
self,
*,
PipelineNamePrefix: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortPipelinesByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListPipelinesResponseTypeDef: # (3)
...
kwargs: ListPipelinesRequestRequestTypeDef = { # (1)
"PipelineNamePrefix": ...,
}
parent.list_pipelines(**kwargs)
list_processing_jobs
Lists processing jobs that satisfy various filters.
Type annotations and code completion for boto3.client("sagemaker").list_processing_jobs
method.
boto3 documentation
def list_processing_jobs(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: ProcessingJobStatusType = ..., # (1)
SortBy: SortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListProcessingJobsResponseTypeDef: # (4)
...
kwargs: ListProcessingJobsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_processing_jobs(**kwargs)
list_projects
Gets a list of the projects in an Amazon Web Services account.
Type annotations and code completion for boto3.client("sagemaker").list_projects
method.
boto3 documentation
def list_projects(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
MaxResults: int = ...,
NameContains: str = ...,
NextToken: str = ...,
SortBy: ProjectSortByType = ..., # (1)
SortOrder: ProjectSortOrderType = ..., # (2)
) -> ListProjectsOutputTypeDef: # (3)
...
kwargs: ListProjectsInputRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_projects(**kwargs)
list_spaces
Lists spaces.
Type annotations and code completion for boto3.client("sagemaker").list_spaces
method.
boto3 documentation
def list_spaces(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortOrder: SortOrderType = ..., # (1)
SortBy: SpaceSortKeyType = ..., # (2)
DomainIdEquals: str = ...,
SpaceNameContains: str = ...,
) -> ListSpacesResponseTypeDef: # (3)
...
- See SortOrderType
- See SpaceSortKeyType
- See ListSpacesResponseTypeDef
kwargs: ListSpacesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_spaces(**kwargs)
list_stage_devices
Lists devices allocated to the stage, containing detailed device information and deployment status.
Type annotations and code completion for boto3.client("sagemaker").list_stage_devices
method.
boto3 documentation
def list_stage_devices(
self,
*,
EdgeDeploymentPlanName: str,
StageName: str,
NextToken: str = ...,
MaxResults: int = ...,
ExcludeDevicesDeployedInOtherStage: bool = ...,
) -> ListStageDevicesResponseTypeDef: # (1)
...
kwargs: ListStageDevicesRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"StageName": ...,
}
parent.list_stage_devices(**kwargs)
list_studio_lifecycle_configs
Lists the Studio Lifecycle Configurations in your Amazon Web Services Account.
Type annotations and code completion for boto3.client("sagemaker").list_studio_lifecycle_configs
method.
boto3 documentation
def list_studio_lifecycle_configs(
self,
*,
MaxResults: int = ...,
NextToken: str = ...,
NameContains: str = ...,
AppTypeEquals: StudioLifecycleConfigAppTypeType = ..., # (1)
CreationTimeBefore: Union[datetime, str] = ...,
CreationTimeAfter: Union[datetime, str] = ...,
ModifiedTimeBefore: Union[datetime, str] = ...,
ModifiedTimeAfter: Union[datetime, str] = ...,
SortBy: StudioLifecycleConfigSortKeyType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
) -> ListStudioLifecycleConfigsResponseTypeDef: # (4)
...
- See StudioLifecycleConfigAppTypeType
- See StudioLifecycleConfigSortKeyType
- See SortOrderType
- See ListStudioLifecycleConfigsResponseTypeDef
kwargs: ListStudioLifecycleConfigsRequestRequestTypeDef = { # (1)
"MaxResults": ...,
}
parent.list_studio_lifecycle_configs(**kwargs)
list_subscribed_workteams
Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace.
Type annotations and code completion for boto3.client("sagemaker").list_subscribed_workteams
method.
boto3 documentation
def list_subscribed_workteams(
self,
*,
NameContains: str = ...,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListSubscribedWorkteamsResponseTypeDef: # (1)
...
kwargs: ListSubscribedWorkteamsRequestRequestTypeDef = { # (1)
"NameContains": ...,
}
parent.list_subscribed_workteams(**kwargs)
list_tags
Returns the tags for the specified SageMaker resource.
Type annotations and code completion for boto3.client("sagemaker").list_tags
method.
boto3 documentation
def list_tags(
self,
*,
ResourceArn: str,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListTagsOutputTypeDef: # (1)
...
kwargs: ListTagsInputRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.list_tags(**kwargs)
list_training_jobs
Lists training jobs.
Type annotations and code completion for boto3.client("sagemaker").list_training_jobs
method.
boto3 documentation
def list_training_jobs(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: TrainingJobStatusType = ..., # (1)
SortBy: SortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
WarmPoolStatusEquals: WarmPoolResourceStatusType = ..., # (4)
) -> ListTrainingJobsResponseTypeDef: # (5)
...
- See TrainingJobStatusType
- See SortByType
- See SortOrderType
- See WarmPoolResourceStatusType
- See ListTrainingJobsResponseTypeDef
kwargs: ListTrainingJobsRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_training_jobs(**kwargs)
list_training_jobs_for_hyper_parameter_tuning_job
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
Type annotations and code completion for boto3.client("sagemaker").list_training_jobs_for_hyper_parameter_tuning_job
method.
boto3 documentation
def list_training_jobs_for_hyper_parameter_tuning_job(
self,
*,
HyperParameterTuningJobName: str,
NextToken: str = ...,
MaxResults: int = ...,
StatusEquals: TrainingJobStatusType = ..., # (1)
SortBy: TrainingJobSortByOptionsType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
) -> ListTrainingJobsForHyperParameterTuningJobResponseTypeDef: # (4)
...
- See TrainingJobStatusType
- See TrainingJobSortByOptionsType
- See SortOrderType
- See ListTrainingJobsForHyperParameterTuningJobResponseTypeDef
kwargs: ListTrainingJobsForHyperParameterTuningJobRequestRequestTypeDef = { # (1)
"HyperParameterTuningJobName": ...,
}
parent.list_training_jobs_for_hyper_parameter_tuning_job(**kwargs)
list_transform_jobs
Lists transform jobs.
Type annotations and code completion for boto3.client("sagemaker").list_transform_jobs
method.
boto3 documentation
def list_transform_jobs(
self,
*,
CreationTimeAfter: Union[datetime, str] = ...,
CreationTimeBefore: Union[datetime, str] = ...,
LastModifiedTimeAfter: Union[datetime, str] = ...,
LastModifiedTimeBefore: Union[datetime, str] = ...,
NameContains: str = ...,
StatusEquals: TransformJobStatusType = ..., # (1)
SortBy: SortByType = ..., # (2)
SortOrder: SortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListTransformJobsResponseTypeDef: # (4)
...
kwargs: ListTransformJobsRequestRequestTypeDef = { # (1)
"CreationTimeAfter": ...,
}
parent.list_transform_jobs(**kwargs)
list_trial_components
Lists the trial components in your account.
Type annotations and code completion for boto3.client("sagemaker").list_trial_components
method.
boto3 documentation
def list_trial_components(
self,
*,
ExperimentName: str = ...,
TrialName: str = ...,
SourceArn: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortTrialComponentsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListTrialComponentsResponseTypeDef: # (3)
...
kwargs: ListTrialComponentsRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.list_trial_components(**kwargs)
list_trials
Lists the trials in your account.
Type annotations and code completion for boto3.client("sagemaker").list_trials
method.
boto3 documentation
def list_trials(
self,
*,
ExperimentName: str = ...,
TrialComponentName: str = ...,
CreatedAfter: Union[datetime, str] = ...,
CreatedBefore: Union[datetime, str] = ...,
SortBy: SortTrialsByType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
MaxResults: int = ...,
NextToken: str = ...,
) -> ListTrialsResponseTypeDef: # (3)
...
- See SortTrialsByType
- See SortOrderType
- See ListTrialsResponseTypeDef
kwargs: ListTrialsRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.list_trials(**kwargs)
list_user_profiles
Lists user profiles.
Type annotations and code completion for boto3.client("sagemaker").list_user_profiles
method.
boto3 documentation
def list_user_profiles(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
SortOrder: SortOrderType = ..., # (1)
SortBy: UserProfileSortKeyType = ..., # (2)
DomainIdEquals: str = ...,
UserProfileNameContains: str = ...,
) -> ListUserProfilesResponseTypeDef: # (3)
...
kwargs: ListUserProfilesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_user_profiles(**kwargs)
list_workforces
Use this operation to list all private and vendor workforces in an Amazon Web Services Region.
Type annotations and code completion for boto3.client("sagemaker").list_workforces
method.
boto3 documentation
def list_workforces(
self,
*,
SortBy: ListWorkforcesSortByOptionsType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NameContains: str = ...,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListWorkforcesResponseTypeDef: # (3)
...
kwargs: ListWorkforcesRequestRequestTypeDef = { # (1)
"SortBy": ...,
}
parent.list_workforces(**kwargs)
list_workteams
Gets a list of private work teams that you have defined in a region.
Type annotations and code completion for boto3.client("sagemaker").list_workteams
method.
boto3 documentation
def list_workteams(
self,
*,
SortBy: ListWorkteamsSortByOptionsType = ..., # (1)
SortOrder: SortOrderType = ..., # (2)
NameContains: str = ...,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListWorkteamsResponseTypeDef: # (3)
...
kwargs: ListWorkteamsRequestRequestTypeDef = { # (1)
"SortBy": ...,
}
parent.list_workteams(**kwargs)
put_model_package_group_policy
Adds a resouce policy to control access to a model group.
Type annotations and code completion for boto3.client("sagemaker").put_model_package_group_policy
method.
boto3 documentation
def put_model_package_group_policy(
self,
*,
ModelPackageGroupName: str,
ResourcePolicy: str,
) -> PutModelPackageGroupPolicyOutputTypeDef: # (1)
...
kwargs: PutModelPackageGroupPolicyInputRequestTypeDef = { # (1)
"ModelPackageGroupName": ...,
"ResourcePolicy": ...,
}
parent.put_model_package_group_policy(**kwargs)
query_lineage
Use this action to inspect your lineage and discover relationships between entities.
Type annotations and code completion for boto3.client("sagemaker").query_lineage
method.
boto3 documentation
def query_lineage(
self,
*,
StartArns: Sequence[str] = ...,
Direction: DirectionType = ..., # (1)
IncludeEdges: bool = ...,
Filters: QueryFiltersTypeDef = ..., # (2)
MaxDepth: int = ...,
MaxResults: int = ...,
NextToken: str = ...,
) -> QueryLineageResponseTypeDef: # (3)
...
kwargs: QueryLineageRequestRequestTypeDef = { # (1)
"StartArns": ...,
}
parent.query_lineage(**kwargs)
register_devices
Register devices.
Type annotations and code completion for boto3.client("sagemaker").register_devices
method.
boto3 documentation
def register_devices(
self,
*,
DeviceFleetName: str,
Devices: Sequence[DeviceTypeDef], # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> EmptyResponseMetadataTypeDef: # (3)
...
- See DeviceTypeDef
- See TagTypeDef
- See EmptyResponseMetadataTypeDef
kwargs: RegisterDevicesRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
"Devices": ...,
}
parent.register_devices(**kwargs)
render_ui_template
Renders the UI template so that you can preview the worker's experience.
Type annotations and code completion for boto3.client("sagemaker").render_ui_template
method.
boto3 documentation
def render_ui_template(
self,
*,
Task: RenderableTaskTypeDef, # (1)
RoleArn: str,
UiTemplate: UiTemplateTypeDef = ..., # (2)
HumanTaskUiArn: str = ...,
) -> RenderUiTemplateResponseTypeDef: # (3)
...
kwargs: RenderUiTemplateRequestRequestTypeDef = { # (1)
"Task": ...,
"RoleArn": ...,
}
parent.render_ui_template(**kwargs)
retry_pipeline_execution
Retry the execution of the pipeline.
Type annotations and code completion for boto3.client("sagemaker").retry_pipeline_execution
method.
boto3 documentation
def retry_pipeline_execution(
self,
*,
PipelineExecutionArn: str,
ClientRequestToken: str,
ParallelismConfiguration: ParallelismConfigurationTypeDef = ..., # (1)
) -> RetryPipelineExecutionResponseTypeDef: # (2)
...
kwargs: RetryPipelineExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
"ClientRequestToken": ...,
}
parent.retry_pipeline_execution(**kwargs)
search
Finds SageMaker resources that match a search query.
Type annotations and code completion for boto3.client("sagemaker").search
method.
boto3 documentation
def search(
self,
*,
Resource: ResourceTypeType, # (1)
SearchExpression: SearchExpressionTypeDef = ..., # (2)
SortBy: str = ...,
SortOrder: SearchSortOrderType = ..., # (3)
NextToken: str = ...,
MaxResults: int = ...,
) -> SearchResponseTypeDef: # (4)
...
kwargs: SearchRequestRequestTypeDef = { # (1)
"Resource": ...,
}
parent.search(**kwargs)
send_pipeline_execution_step_failure
Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
Type annotations and code completion for boto3.client("sagemaker").send_pipeline_execution_step_failure
method.
boto3 documentation
def send_pipeline_execution_step_failure(
self,
*,
CallbackToken: str,
FailureReason: str = ...,
ClientRequestToken: str = ...,
) -> SendPipelineExecutionStepFailureResponseTypeDef: # (1)
...
kwargs: SendPipelineExecutionStepFailureRequestRequestTypeDef = { # (1)
"CallbackToken": ...,
}
parent.send_pipeline_execution_step_failure(**kwargs)
send_pipeline_execution_step_success
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters.
Type annotations and code completion for boto3.client("sagemaker").send_pipeline_execution_step_success
method.
boto3 documentation
def send_pipeline_execution_step_success(
self,
*,
CallbackToken: str,
OutputParameters: Sequence[OutputParameterTypeDef] = ..., # (1)
ClientRequestToken: str = ...,
) -> SendPipelineExecutionStepSuccessResponseTypeDef: # (2)
...
kwargs: SendPipelineExecutionStepSuccessRequestRequestTypeDef = { # (1)
"CallbackToken": ...,
}
parent.send_pipeline_execution_step_success(**kwargs)
start_edge_deployment_stage
Starts a stage in an edge deployment plan.
Type annotations and code completion for boto3.client("sagemaker").start_edge_deployment_stage
method.
boto3 documentation
def start_edge_deployment_stage(
self,
*,
EdgeDeploymentPlanName: str,
StageName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StartEdgeDeploymentStageRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"StageName": ...,
}
parent.start_edge_deployment_stage(**kwargs)
start_inference_experiment
Starts an inference experiment.
Type annotations and code completion for boto3.client("sagemaker").start_inference_experiment
method.
boto3 documentation
def start_inference_experiment(
self,
*,
Name: str,
) -> StartInferenceExperimentResponseTypeDef: # (1)
...
kwargs: StartInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
}
parent.start_inference_experiment(**kwargs)
start_monitoring_schedule
Starts a previously stopped monitoring schedule.
Type annotations and code completion for boto3.client("sagemaker").start_monitoring_schedule
method.
boto3 documentation
def start_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StartMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.start_monitoring_schedule(**kwargs)
start_notebook_instance
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
Type annotations and code completion for boto3.client("sagemaker").start_notebook_instance
method.
boto3 documentation
def start_notebook_instance(
self,
*,
NotebookInstanceName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StartNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.start_notebook_instance(**kwargs)
start_pipeline_execution
Starts a pipeline execution.
Type annotations and code completion for boto3.client("sagemaker").start_pipeline_execution
method.
boto3 documentation
def start_pipeline_execution(
self,
*,
PipelineName: str,
ClientRequestToken: str,
PipelineExecutionDisplayName: str = ...,
PipelineParameters: Sequence[ParameterTypeDef] = ..., # (1)
PipelineExecutionDescription: str = ...,
ParallelismConfiguration: ParallelismConfigurationTypeDef = ..., # (2)
) -> StartPipelineExecutionResponseTypeDef: # (3)
...
kwargs: StartPipelineExecutionRequestRequestTypeDef = { # (1)
"PipelineName": ...,
"ClientRequestToken": ...,
}
parent.start_pipeline_execution(**kwargs)
stop_auto_ml_job
A method for forcing a running job to shut down.
Type annotations and code completion for boto3.client("sagemaker").stop_auto_ml_job
method.
boto3 documentation
def stop_auto_ml_job(
self,
*,
AutoMLJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopAutoMLJobRequestRequestTypeDef = { # (1)
"AutoMLJobName": ...,
}
parent.stop_auto_ml_job(**kwargs)
stop_compilation_job
Stops a model compilation job.
Type annotations and code completion for boto3.client("sagemaker").stop_compilation_job
method.
boto3 documentation
def stop_compilation_job(
self,
*,
CompilationJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopCompilationJobRequestRequestTypeDef = { # (1)
"CompilationJobName": ...,
}
parent.stop_compilation_job(**kwargs)
stop_edge_deployment_stage
Stops a stage in an edge deployment plan.
Type annotations and code completion for boto3.client("sagemaker").stop_edge_deployment_stage
method.
boto3 documentation
def stop_edge_deployment_stage(
self,
*,
EdgeDeploymentPlanName: str,
StageName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopEdgeDeploymentStageRequestRequestTypeDef = { # (1)
"EdgeDeploymentPlanName": ...,
"StageName": ...,
}
parent.stop_edge_deployment_stage(**kwargs)
stop_edge_packaging_job
Request to stop an edge packaging job.
Type annotations and code completion for boto3.client("sagemaker").stop_edge_packaging_job
method.
boto3 documentation
def stop_edge_packaging_job(
self,
*,
EdgePackagingJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopEdgePackagingJobRequestRequestTypeDef = { # (1)
"EdgePackagingJobName": ...,
}
parent.stop_edge_packaging_job(**kwargs)
stop_hyper_parameter_tuning_job
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
Type annotations and code completion for boto3.client("sagemaker").stop_hyper_parameter_tuning_job
method.
boto3 documentation
def stop_hyper_parameter_tuning_job(
self,
*,
HyperParameterTuningJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopHyperParameterTuningJobRequestRequestTypeDef = { # (1)
"HyperParameterTuningJobName": ...,
}
parent.stop_hyper_parameter_tuning_job(**kwargs)
stop_inference_experiment
Stops an inference experiment.
Type annotations and code completion for boto3.client("sagemaker").stop_inference_experiment
method.
boto3 documentation
def stop_inference_experiment(
self,
*,
Name: str,
ModelVariantActions: Mapping[str, ModelVariantActionType], # (1)
DesiredModelVariants: Sequence[ModelVariantConfigTypeDef] = ..., # (2)
DesiredState: InferenceExperimentStopDesiredStateType = ..., # (3)
Reason: str = ...,
) -> StopInferenceExperimentResponseTypeDef: # (4)
...
- See ModelVariantActionType
- See ModelVariantConfigTypeDef
- See InferenceExperimentStopDesiredStateType
- See StopInferenceExperimentResponseTypeDef
kwargs: StopInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
"ModelVariantActions": ...,
}
parent.stop_inference_experiment(**kwargs)
stop_inference_recommendations_job
Stops an Inference Recommender job.
Type annotations and code completion for boto3.client("sagemaker").stop_inference_recommendations_job
method.
boto3 documentation
def stop_inference_recommendations_job(
self,
*,
JobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopInferenceRecommendationsJobRequestRequestTypeDef = { # (1)
"JobName": ...,
}
parent.stop_inference_recommendations_job(**kwargs)
stop_labeling_job
Stops a running labeling job.
Type annotations and code completion for boto3.client("sagemaker").stop_labeling_job
method.
boto3 documentation
def stop_labeling_job(
self,
*,
LabelingJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopLabelingJobRequestRequestTypeDef = { # (1)
"LabelingJobName": ...,
}
parent.stop_labeling_job(**kwargs)
stop_monitoring_schedule
Stops a previously started monitoring schedule.
Type annotations and code completion for boto3.client("sagemaker").stop_monitoring_schedule
method.
boto3 documentation
def stop_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
}
parent.stop_monitoring_schedule(**kwargs)
stop_notebook_instance
Terminates the ML compute instance.
Type annotations and code completion for boto3.client("sagemaker").stop_notebook_instance
method.
boto3 documentation
def stop_notebook_instance(
self,
*,
NotebookInstanceName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.stop_notebook_instance(**kwargs)
stop_pipeline_execution
Stops a pipeline execution.
Type annotations and code completion for boto3.client("sagemaker").stop_pipeline_execution
method.
boto3 documentation
def stop_pipeline_execution(
self,
*,
PipelineExecutionArn: str,
ClientRequestToken: str,
) -> StopPipelineExecutionResponseTypeDef: # (1)
...
kwargs: StopPipelineExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
"ClientRequestToken": ...,
}
parent.stop_pipeline_execution(**kwargs)
stop_processing_job
Stops a processing job.
Type annotations and code completion for boto3.client("sagemaker").stop_processing_job
method.
boto3 documentation
def stop_processing_job(
self,
*,
ProcessingJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopProcessingJobRequestRequestTypeDef = { # (1)
"ProcessingJobName": ...,
}
parent.stop_processing_job(**kwargs)
stop_training_job
Stops a training job.
Type annotations and code completion for boto3.client("sagemaker").stop_training_job
method.
boto3 documentation
def stop_training_job(
self,
*,
TrainingJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopTrainingJobRequestRequestTypeDef = { # (1)
"TrainingJobName": ...,
}
parent.stop_training_job(**kwargs)
stop_transform_job
Stops a batch transform job.
Type annotations and code completion for boto3.client("sagemaker").stop_transform_job
method.
boto3 documentation
def stop_transform_job(
self,
*,
TransformJobName: str,
) -> EmptyResponseMetadataTypeDef: # (1)
...
kwargs: StopTransformJobRequestRequestTypeDef = { # (1)
"TransformJobName": ...,
}
parent.stop_transform_job(**kwargs)
update_action
Updates an action.
Type annotations and code completion for boto3.client("sagemaker").update_action
method.
boto3 documentation
def update_action(
self,
*,
ActionName: str,
Description: str = ...,
Status: ActionStatusType = ..., # (1)
Properties: Mapping[str, str] = ...,
PropertiesToRemove: Sequence[str] = ...,
) -> UpdateActionResponseTypeDef: # (2)
...
kwargs: UpdateActionRequestRequestTypeDef = { # (1)
"ActionName": ...,
}
parent.update_action(**kwargs)
update_app_image_config
Updates the properties of an AppImageConfig.
Type annotations and code completion for boto3.client("sagemaker").update_app_image_config
method.
boto3 documentation
def update_app_image_config(
self,
*,
AppImageConfigName: str,
KernelGatewayImageConfig: KernelGatewayImageConfigTypeDef = ..., # (1)
) -> UpdateAppImageConfigResponseTypeDef: # (2)
...
kwargs: UpdateAppImageConfigRequestRequestTypeDef = { # (1)
"AppImageConfigName": ...,
}
parent.update_app_image_config(**kwargs)
update_artifact
Updates an artifact.
Type annotations and code completion for boto3.client("sagemaker").update_artifact
method.
boto3 documentation
def update_artifact(
self,
*,
ArtifactArn: str,
ArtifactName: str = ...,
Properties: Mapping[str, str] = ...,
PropertiesToRemove: Sequence[str] = ...,
) -> UpdateArtifactResponseTypeDef: # (1)
...
kwargs: UpdateArtifactRequestRequestTypeDef = { # (1)
"ArtifactArn": ...,
}
parent.update_artifact(**kwargs)
update_code_repository
Updates the specified Git repository with the specified values.
Type annotations and code completion for boto3.client("sagemaker").update_code_repository
method.
boto3 documentation
def update_code_repository(
self,
*,
CodeRepositoryName: str,
GitConfig: GitConfigForUpdateTypeDef = ..., # (1)
) -> UpdateCodeRepositoryOutputTypeDef: # (2)
...
kwargs: UpdateCodeRepositoryInputRequestTypeDef = { # (1)
"CodeRepositoryName": ...,
}
parent.update_code_repository(**kwargs)
update_context
Updates a context.
Type annotations and code completion for boto3.client("sagemaker").update_context
method.
boto3 documentation
def update_context(
self,
*,
ContextName: str,
Description: str = ...,
Properties: Mapping[str, str] = ...,
PropertiesToRemove: Sequence[str] = ...,
) -> UpdateContextResponseTypeDef: # (1)
...
kwargs: UpdateContextRequestRequestTypeDef = { # (1)
"ContextName": ...,
}
parent.update_context(**kwargs)
update_device_fleet
Updates a fleet of devices.
Type annotations and code completion for boto3.client("sagemaker").update_device_fleet
method.
boto3 documentation
def update_device_fleet(
self,
*,
DeviceFleetName: str,
OutputConfig: EdgeOutputConfigTypeDef, # (1)
RoleArn: str = ...,
Description: str = ...,
EnableIotRoleAlias: bool = ...,
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: UpdateDeviceFleetRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
"OutputConfig": ...,
}
parent.update_device_fleet(**kwargs)
update_devices
Updates one or more devices in a fleet.
Type annotations and code completion for boto3.client("sagemaker").update_devices
method.
boto3 documentation
def update_devices(
self,
*,
DeviceFleetName: str,
Devices: Sequence[DeviceTypeDef], # (1)
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: UpdateDevicesRequestRequestTypeDef = { # (1)
"DeviceFleetName": ...,
"Devices": ...,
}
parent.update_devices(**kwargs)
update_domain
Updates the default settings for new user profiles in the domain.
Type annotations and code completion for boto3.client("sagemaker").update_domain
method.
boto3 documentation
def update_domain(
self,
*,
DomainId: str,
DefaultUserSettings: UserSettingsTypeDef = ..., # (1)
DomainSettingsForUpdate: DomainSettingsForUpdateTypeDef = ..., # (2)
DefaultSpaceSettings: DefaultSpaceSettingsTypeDef = ..., # (3)
AppSecurityGroupManagement: AppSecurityGroupManagementType = ..., # (4)
) -> UpdateDomainResponseTypeDef: # (5)
...
- See UserSettingsTypeDef
- See DomainSettingsForUpdateTypeDef
- See DefaultSpaceSettingsTypeDef
- See AppSecurityGroupManagementType
- See UpdateDomainResponseTypeDef
kwargs: UpdateDomainRequestRequestTypeDef = { # (1)
"DomainId": ...,
}
parent.update_domain(**kwargs)
update_endpoint
Deploys the new EndpointConfig
specified in the request, switches to using
newly created endpoint, and then deletes resources provisioned for the endpoint
using the previous EndpointConfig
(there is no availability loss).
Type annotations and code completion for boto3.client("sagemaker").update_endpoint
method.
boto3 documentation
def update_endpoint(
self,
*,
EndpointName: str,
EndpointConfigName: str,
RetainAllVariantProperties: bool = ...,
ExcludeRetainedVariantProperties: Sequence[VariantPropertyTypeDef] = ..., # (1)
DeploymentConfig: DeploymentConfigTypeDef = ..., # (2)
RetainDeploymentConfig: bool = ...,
) -> UpdateEndpointOutputTypeDef: # (3)
...
kwargs: UpdateEndpointInputRequestTypeDef = { # (1)
"EndpointName": ...,
"EndpointConfigName": ...,
}
parent.update_endpoint(**kwargs)
update_endpoint_weights_and_capacities
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint.
Type annotations and code completion for boto3.client("sagemaker").update_endpoint_weights_and_capacities
method.
boto3 documentation
def update_endpoint_weights_and_capacities(
self,
*,
EndpointName: str,
DesiredWeightsAndCapacities: Sequence[DesiredWeightAndCapacityTypeDef], # (1)
) -> UpdateEndpointWeightsAndCapacitiesOutputTypeDef: # (2)
...
kwargs: UpdateEndpointWeightsAndCapacitiesInputRequestTypeDef = { # (1)
"EndpointName": ...,
"DesiredWeightsAndCapacities": ...,
}
parent.update_endpoint_weights_and_capacities(**kwargs)
update_experiment
Adds, updates, or removes the description of an experiment.
Type annotations and code completion for boto3.client("sagemaker").update_experiment
method.
boto3 documentation
def update_experiment(
self,
*,
ExperimentName: str,
DisplayName: str = ...,
Description: str = ...,
) -> UpdateExperimentResponseTypeDef: # (1)
...
kwargs: UpdateExperimentRequestRequestTypeDef = { # (1)
"ExperimentName": ...,
}
parent.update_experiment(**kwargs)
update_feature_group
Updates the feature group.
Type annotations and code completion for boto3.client("sagemaker").update_feature_group
method.
boto3 documentation
def update_feature_group(
self,
*,
FeatureGroupName: str,
FeatureAdditions: Sequence[FeatureDefinitionTypeDef] = ..., # (1)
) -> UpdateFeatureGroupResponseTypeDef: # (2)
...
kwargs: UpdateFeatureGroupRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
}
parent.update_feature_group(**kwargs)
update_feature_metadata
Updates the description and parameters of the feature group.
Type annotations and code completion for boto3.client("sagemaker").update_feature_metadata
method.
boto3 documentation
def update_feature_metadata(
self,
*,
FeatureGroupName: str,
FeatureName: str,
Description: str = ...,
ParameterAdditions: Sequence[FeatureParameterTypeDef] = ..., # (1)
ParameterRemovals: Sequence[str] = ...,
) -> EmptyResponseMetadataTypeDef: # (2)
...
kwargs: UpdateFeatureMetadataRequestRequestTypeDef = { # (1)
"FeatureGroupName": ...,
"FeatureName": ...,
}
parent.update_feature_metadata(**kwargs)
update_hub
Update a hub.
Type annotations and code completion for boto3.client("sagemaker").update_hub
method.
boto3 documentation
def update_hub(
self,
*,
HubName: str,
HubDescription: str = ...,
HubDisplayName: str = ...,
HubSearchKeywords: Sequence[str] = ...,
) -> UpdateHubResponseTypeDef: # (1)
...
kwargs: UpdateHubRequestRequestTypeDef = { # (1)
"HubName": ...,
}
parent.update_hub(**kwargs)
update_image
Updates the properties of a SageMaker image.
Type annotations and code completion for boto3.client("sagemaker").update_image
method.
boto3 documentation
def update_image(
self,
*,
ImageName: str,
DeleteProperties: Sequence[str] = ...,
Description: str = ...,
DisplayName: str = ...,
RoleArn: str = ...,
) -> UpdateImageResponseTypeDef: # (1)
...
kwargs: UpdateImageRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.update_image(**kwargs)
update_image_version
Updates the properties of a SageMaker image version.
Type annotations and code completion for boto3.client("sagemaker").update_image_version
method.
boto3 documentation
def update_image_version(
self,
*,
ImageName: str,
Alias: str = ...,
Version: int = ...,
AliasesToAdd: Sequence[str] = ...,
AliasesToDelete: Sequence[str] = ...,
VendorGuidance: VendorGuidanceType = ..., # (1)
JobType: JobTypeType = ..., # (2)
MLFramework: str = ...,
ProgrammingLang: str = ...,
Processor: ProcessorType = ..., # (3)
Horovod: bool = ...,
ReleaseNotes: str = ...,
) -> UpdateImageVersionResponseTypeDef: # (4)
...
- See VendorGuidanceType
- See JobTypeType
- See ProcessorType
- See UpdateImageVersionResponseTypeDef
kwargs: UpdateImageVersionRequestRequestTypeDef = { # (1)
"ImageName": ...,
}
parent.update_image_version(**kwargs)
update_inference_experiment
Updates an inference experiment that you created.
Type annotations and code completion for boto3.client("sagemaker").update_inference_experiment
method.
boto3 documentation
def update_inference_experiment(
self,
*,
Name: str,
Schedule: InferenceExperimentScheduleTypeDef = ..., # (1)
Description: str = ...,
ModelVariants: Sequence[ModelVariantConfigTypeDef] = ..., # (2)
DataStorageConfig: InferenceExperimentDataStorageConfigTypeDef = ..., # (3)
ShadowModeConfig: ShadowModeConfigTypeDef = ..., # (4)
) -> UpdateInferenceExperimentResponseTypeDef: # (5)
...
- See InferenceExperimentScheduleTypeDef
- See ModelVariantConfigTypeDef
- See InferenceExperimentDataStorageConfigTypeDef
- See ShadowModeConfigTypeDef
- See UpdateInferenceExperimentResponseTypeDef
kwargs: UpdateInferenceExperimentRequestRequestTypeDef = { # (1)
"Name": ...,
}
parent.update_inference_experiment(**kwargs)
update_model_card
Update an Amazon SageMaker Model Card.
Type annotations and code completion for boto3.client("sagemaker").update_model_card
method.
boto3 documentation
def update_model_card(
self,
*,
ModelCardName: str,
Content: str = ...,
ModelCardStatus: ModelCardStatusType = ..., # (1)
) -> UpdateModelCardResponseTypeDef: # (2)
...
kwargs: UpdateModelCardRequestRequestTypeDef = { # (1)
"ModelCardName": ...,
}
parent.update_model_card(**kwargs)
update_model_package
Updates a versioned model.
Type annotations and code completion for boto3.client("sagemaker").update_model_package
method.
boto3 documentation
def update_model_package(
self,
*,
ModelPackageArn: str,
ModelApprovalStatus: ModelApprovalStatusType = ..., # (1)
ApprovalDescription: str = ...,
CustomerMetadataProperties: Mapping[str, str] = ...,
CustomerMetadataPropertiesToRemove: Sequence[str] = ...,
AdditionalInferenceSpecificationsToAdd: Sequence[AdditionalInferenceSpecificationDefinitionTypeDef] = ..., # (2)
) -> UpdateModelPackageOutputTypeDef: # (3)
...
- See ModelApprovalStatusType
- See AdditionalInferenceSpecificationDefinitionTypeDef
- See UpdateModelPackageOutputTypeDef
kwargs: UpdateModelPackageInputRequestTypeDef = { # (1)
"ModelPackageArn": ...,
}
parent.update_model_package(**kwargs)
update_monitoring_alert
Update the parameters of a model monitor alert.
Type annotations and code completion for boto3.client("sagemaker").update_monitoring_alert
method.
boto3 documentation
def update_monitoring_alert(
self,
*,
MonitoringScheduleName: str,
MonitoringAlertName: str,
DatapointsToAlert: int,
EvaluationPeriod: int,
) -> UpdateMonitoringAlertResponseTypeDef: # (1)
...
kwargs: UpdateMonitoringAlertRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
"MonitoringAlertName": ...,
"DatapointsToAlert": ...,
"EvaluationPeriod": ...,
}
parent.update_monitoring_alert(**kwargs)
update_monitoring_schedule
Updates a previously created schedule.
Type annotations and code completion for boto3.client("sagemaker").update_monitoring_schedule
method.
boto3 documentation
def update_monitoring_schedule(
self,
*,
MonitoringScheduleName: str,
MonitoringScheduleConfig: MonitoringScheduleConfigTypeDef, # (1)
) -> UpdateMonitoringScheduleResponseTypeDef: # (2)
...
kwargs: UpdateMonitoringScheduleRequestRequestTypeDef = { # (1)
"MonitoringScheduleName": ...,
"MonitoringScheduleConfig": ...,
}
parent.update_monitoring_schedule(**kwargs)
update_notebook_instance
Updates a notebook instance.
Type annotations and code completion for boto3.client("sagemaker").update_notebook_instance
method.
boto3 documentation
def update_notebook_instance(
self,
*,
NotebookInstanceName: str,
InstanceType: InstanceTypeType = ..., # (1)
RoleArn: str = ...,
LifecycleConfigName: str = ...,
DisassociateLifecycleConfig: bool = ...,
VolumeSizeInGB: int = ...,
DefaultCodeRepository: str = ...,
AdditionalCodeRepositories: Sequence[str] = ...,
AcceleratorTypes: Sequence[NotebookInstanceAcceleratorTypeType] = ..., # (2)
DisassociateAcceleratorTypes: bool = ...,
DisassociateDefaultCodeRepository: bool = ...,
DisassociateAdditionalCodeRepositories: bool = ...,
RootAccess: RootAccessType = ..., # (3)
InstanceMetadataServiceConfiguration: InstanceMetadataServiceConfigurationTypeDef = ..., # (4)
) -> Dict[str, Any]:
...
- See InstanceTypeType
- See NotebookInstanceAcceleratorTypeType
- See RootAccessType
- See InstanceMetadataServiceConfigurationTypeDef
kwargs: UpdateNotebookInstanceInputRequestTypeDef = { # (1)
"NotebookInstanceName": ...,
}
parent.update_notebook_instance(**kwargs)
update_notebook_instance_lifecycle_config
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
Type annotations and code completion for boto3.client("sagemaker").update_notebook_instance_lifecycle_config
method.
boto3 documentation
def update_notebook_instance_lifecycle_config(
self,
*,
NotebookInstanceLifecycleConfigName: str,
OnCreate: Sequence[NotebookInstanceLifecycleHookTypeDef] = ..., # (1)
OnStart: Sequence[NotebookInstanceLifecycleHookTypeDef] = ..., # (1)
) -> Dict[str, Any]:
...
kwargs: UpdateNotebookInstanceLifecycleConfigInputRequestTypeDef = { # (1)
"NotebookInstanceLifecycleConfigName": ...,
}
parent.update_notebook_instance_lifecycle_config(**kwargs)
update_pipeline
Updates a pipeline.
Type annotations and code completion for boto3.client("sagemaker").update_pipeline
method.
boto3 documentation
def update_pipeline(
self,
*,
PipelineName: str,
PipelineDisplayName: str = ...,
PipelineDefinition: str = ...,
PipelineDefinitionS3Location: PipelineDefinitionS3LocationTypeDef = ..., # (1)
PipelineDescription: str = ...,
RoleArn: str = ...,
ParallelismConfiguration: ParallelismConfigurationTypeDef = ..., # (2)
) -> UpdatePipelineResponseTypeDef: # (3)
...
- See PipelineDefinitionS3LocationTypeDef
- See ParallelismConfigurationTypeDef
- See UpdatePipelineResponseTypeDef
kwargs: UpdatePipelineRequestRequestTypeDef = { # (1)
"PipelineName": ...,
}
parent.update_pipeline(**kwargs)
update_pipeline_execution
Updates a pipeline execution.
Type annotations and code completion for boto3.client("sagemaker").update_pipeline_execution
method.
boto3 documentation
def update_pipeline_execution(
self,
*,
PipelineExecutionArn: str,
PipelineExecutionDescription: str = ...,
PipelineExecutionDisplayName: str = ...,
ParallelismConfiguration: ParallelismConfigurationTypeDef = ..., # (1)
) -> UpdatePipelineExecutionResponseTypeDef: # (2)
...
kwargs: UpdatePipelineExecutionRequestRequestTypeDef = { # (1)
"PipelineExecutionArn": ...,
}
parent.update_pipeline_execution(**kwargs)
update_project
Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
Type annotations and code completion for boto3.client("sagemaker").update_project
method.
boto3 documentation
def update_project(
self,
*,
ProjectName: str,
ProjectDescription: str = ...,
ServiceCatalogProvisioningUpdateDetails: ServiceCatalogProvisioningUpdateDetailsTypeDef = ..., # (1)
Tags: Sequence[TagTypeDef] = ..., # (2)
) -> UpdateProjectOutputTypeDef: # (3)
...
kwargs: UpdateProjectInputRequestTypeDef = { # (1)
"ProjectName": ...,
}
parent.update_project(**kwargs)
update_space
Updates the settings of a space.
Type annotations and code completion for boto3.client("sagemaker").update_space
method.
boto3 documentation
def update_space(
self,
*,
DomainId: str,
SpaceName: str,
SpaceSettings: SpaceSettingsTypeDef = ..., # (1)
) -> UpdateSpaceResponseTypeDef: # (2)
...
kwargs: UpdateSpaceRequestRequestTypeDef = { # (1)
"DomainId": ...,
"SpaceName": ...,
}
parent.update_space(**kwargs)
update_training_job
Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
Type annotations and code completion for boto3.client("sagemaker").update_training_job
method.
boto3 documentation
def update_training_job(
self,
*,
TrainingJobName: str,
ProfilerConfig: ProfilerConfigForUpdateTypeDef = ..., # (1)
ProfilerRuleConfigurations: Sequence[ProfilerRuleConfigurationTypeDef] = ..., # (2)
ResourceConfig: ResourceConfigForUpdateTypeDef = ..., # (3)
) -> UpdateTrainingJobResponseTypeDef: # (4)
...
- See ProfilerConfigForUpdateTypeDef
- See ProfilerRuleConfigurationTypeDef
- See ResourceConfigForUpdateTypeDef
- See UpdateTrainingJobResponseTypeDef
kwargs: UpdateTrainingJobRequestRequestTypeDef = { # (1)
"TrainingJobName": ...,
}
parent.update_training_job(**kwargs)
update_trial
Updates the display name of a trial.
Type annotations and code completion for boto3.client("sagemaker").update_trial
method.
boto3 documentation
def update_trial(
self,
*,
TrialName: str,
DisplayName: str = ...,
) -> UpdateTrialResponseTypeDef: # (1)
...
kwargs: UpdateTrialRequestRequestTypeDef = { # (1)
"TrialName": ...,
}
parent.update_trial(**kwargs)
update_trial_component
Updates one or more properties of a trial component.
Type annotations and code completion for boto3.client("sagemaker").update_trial_component
method.
boto3 documentation
def update_trial_component(
self,
*,
TrialComponentName: str,
DisplayName: str = ...,
Status: TrialComponentStatusTypeDef = ..., # (1)
StartTime: Union[datetime, str] = ...,
EndTime: Union[datetime, str] = ...,
Parameters: Mapping[str, TrialComponentParameterValueTypeDef] = ..., # (2)
ParametersToRemove: Sequence[str] = ...,
InputArtifacts: Mapping[str, TrialComponentArtifactTypeDef] = ..., # (3)
InputArtifactsToRemove: Sequence[str] = ...,
OutputArtifacts: Mapping[str, TrialComponentArtifactTypeDef] = ..., # (3)
OutputArtifactsToRemove: Sequence[str] = ...,
) -> UpdateTrialComponentResponseTypeDef: # (5)
...
- See TrialComponentStatusTypeDef
- See TrialComponentParameterValueTypeDef
- See TrialComponentArtifactTypeDef
- See TrialComponentArtifactTypeDef
- See UpdateTrialComponentResponseTypeDef
kwargs: UpdateTrialComponentRequestRequestTypeDef = { # (1)
"TrialComponentName": ...,
}
parent.update_trial_component(**kwargs)
update_user_profile
Updates a user profile.
Type annotations and code completion for boto3.client("sagemaker").update_user_profile
method.
boto3 documentation
def update_user_profile(
self,
*,
DomainId: str,
UserProfileName: str,
UserSettings: UserSettingsTypeDef = ..., # (1)
) -> UpdateUserProfileResponseTypeDef: # (2)
...
kwargs: UpdateUserProfileRequestRequestTypeDef = { # (1)
"DomainId": ...,
"UserProfileName": ...,
}
parent.update_user_profile(**kwargs)
update_workforce
Use this operation to update your workforce.
Type annotations and code completion for boto3.client("sagemaker").update_workforce
method.
boto3 documentation
def update_workforce(
self,
*,
WorkforceName: str,
SourceIpConfig: SourceIpConfigTypeDef = ..., # (1)
OidcConfig: OidcConfigTypeDef = ..., # (2)
WorkforceVpcConfig: WorkforceVpcConfigRequestTypeDef = ..., # (3)
) -> UpdateWorkforceResponseTypeDef: # (4)
...
- See SourceIpConfigTypeDef
- See OidcConfigTypeDef
- See WorkforceVpcConfigRequestTypeDef
- See UpdateWorkforceResponseTypeDef
kwargs: UpdateWorkforceRequestRequestTypeDef = { # (1)
"WorkforceName": ...,
}
parent.update_workforce(**kwargs)
update_workteam
Updates an existing work team with new member definitions or description.
Type annotations and code completion for boto3.client("sagemaker").update_workteam
method.
boto3 documentation
def update_workteam(
self,
*,
WorkteamName: str,
MemberDefinitions: Sequence[MemberDefinitionTypeDef] = ..., # (1)
Description: str = ...,
NotificationConfiguration: NotificationConfigurationTypeDef = ..., # (2)
) -> UpdateWorkteamResponseTypeDef: # (3)
...
kwargs: UpdateWorkteamRequestRequestTypeDef = { # (1)
"WorkteamName": ...,
}
parent.update_workteam(**kwargs)
get_paginator
Type annotations and code completion for boto3.client("sagemaker").get_paginator
method with overloads.
client.get_paginator("list_actions")
-> ListActionsPaginatorclient.get_paginator("list_algorithms")
-> ListAlgorithmsPaginatorclient.get_paginator("list_aliases")
-> ListAliasesPaginatorclient.get_paginator("list_app_image_configs")
-> ListAppImageConfigsPaginatorclient.get_paginator("list_apps")
-> ListAppsPaginatorclient.get_paginator("list_artifacts")
-> ListArtifactsPaginatorclient.get_paginator("list_associations")
-> ListAssociationsPaginatorclient.get_paginator("list_auto_ml_jobs")
-> ListAutoMLJobsPaginatorclient.get_paginator("list_candidates_for_auto_ml_job")
-> ListCandidatesForAutoMLJobPaginatorclient.get_paginator("list_code_repositories")
-> ListCodeRepositoriesPaginatorclient.get_paginator("list_compilation_jobs")
-> ListCompilationJobsPaginatorclient.get_paginator("list_contexts")
-> ListContextsPaginatorclient.get_paginator("list_data_quality_job_definitions")
-> ListDataQualityJobDefinitionsPaginatorclient.get_paginator("list_device_fleets")
-> ListDeviceFleetsPaginatorclient.get_paginator("list_devices")
-> ListDevicesPaginatorclient.get_paginator("list_domains")
-> ListDomainsPaginatorclient.get_paginator("list_edge_deployment_plans")
-> ListEdgeDeploymentPlansPaginatorclient.get_paginator("list_edge_packaging_jobs")
-> ListEdgePackagingJobsPaginatorclient.get_paginator("list_endpoint_configs")
-> ListEndpointConfigsPaginatorclient.get_paginator("list_endpoints")
-> ListEndpointsPaginatorclient.get_paginator("list_experiments")
-> ListExperimentsPaginatorclient.get_paginator("list_feature_groups")
-> ListFeatureGroupsPaginatorclient.get_paginator("list_flow_definitions")
-> ListFlowDefinitionsPaginatorclient.get_paginator("list_human_task_uis")
-> ListHumanTaskUisPaginatorclient.get_paginator("list_hyper_parameter_tuning_jobs")
-> ListHyperParameterTuningJobsPaginatorclient.get_paginator("list_image_versions")
-> ListImageVersionsPaginatorclient.get_paginator("list_images")
-> ListImagesPaginatorclient.get_paginator("list_inference_experiments")
-> ListInferenceExperimentsPaginatorclient.get_paginator("list_inference_recommendations_job_steps")
-> ListInferenceRecommendationsJobStepsPaginatorclient.get_paginator("list_inference_recommendations_jobs")
-> ListInferenceRecommendationsJobsPaginatorclient.get_paginator("list_labeling_jobs")
-> ListLabelingJobsPaginatorclient.get_paginator("list_labeling_jobs_for_workteam")
-> ListLabelingJobsForWorkteamPaginatorclient.get_paginator("list_lineage_groups")
-> ListLineageGroupsPaginatorclient.get_paginator("list_model_bias_job_definitions")
-> ListModelBiasJobDefinitionsPaginatorclient.get_paginator("list_model_card_export_jobs")
-> ListModelCardExportJobsPaginatorclient.get_paginator("list_model_card_versions")
-> ListModelCardVersionsPaginatorclient.get_paginator("list_model_cards")
-> ListModelCardsPaginatorclient.get_paginator("list_model_explainability_job_definitions")
-> ListModelExplainabilityJobDefinitionsPaginatorclient.get_paginator("list_model_metadata")
-> ListModelMetadataPaginatorclient.get_paginator("list_model_package_groups")
-> ListModelPackageGroupsPaginatorclient.get_paginator("list_model_packages")
-> ListModelPackagesPaginatorclient.get_paginator("list_model_quality_job_definitions")
-> ListModelQualityJobDefinitionsPaginatorclient.get_paginator("list_models")
-> ListModelsPaginatorclient.get_paginator("list_monitoring_alert_history")
-> ListMonitoringAlertHistoryPaginatorclient.get_paginator("list_monitoring_alerts")
-> ListMonitoringAlertsPaginatorclient.get_paginator("list_monitoring_executions")
-> ListMonitoringExecutionsPaginatorclient.get_paginator("list_monitoring_schedules")
-> ListMonitoringSchedulesPaginatorclient.get_paginator("list_notebook_instance_lifecycle_configs")
-> ListNotebookInstanceLifecycleConfigsPaginatorclient.get_paginator("list_notebook_instances")
-> ListNotebookInstancesPaginatorclient.get_paginator("list_pipeline_execution_steps")
-> ListPipelineExecutionStepsPaginatorclient.get_paginator("list_pipeline_executions")
-> ListPipelineExecutionsPaginatorclient.get_paginator("list_pipeline_parameters_for_execution")
-> ListPipelineParametersForExecutionPaginatorclient.get_paginator("list_pipelines")
-> ListPipelinesPaginatorclient.get_paginator("list_processing_jobs")
-> ListProcessingJobsPaginatorclient.get_paginator("list_spaces")
-> ListSpacesPaginatorclient.get_paginator("list_stage_devices")
-> ListStageDevicesPaginatorclient.get_paginator("list_studio_lifecycle_configs")
-> ListStudioLifecycleConfigsPaginatorclient.get_paginator("list_subscribed_workteams")
-> ListSubscribedWorkteamsPaginatorclient.get_paginator("list_tags")
-> ListTagsPaginatorclient.get_paginator("list_training_jobs")
-> ListTrainingJobsPaginatorclient.get_paginator("list_training_jobs_for_hyper_parameter_tuning_job")
-> ListTrainingJobsForHyperParameterTuningJobPaginatorclient.get_paginator("list_transform_jobs")
-> ListTransformJobsPaginatorclient.get_paginator("list_trial_components")
-> ListTrialComponentsPaginatorclient.get_paginator("list_trials")
-> ListTrialsPaginatorclient.get_paginator("list_user_profiles")
-> ListUserProfilesPaginatorclient.get_paginator("list_workforces")
-> ListWorkforcesPaginatorclient.get_paginator("list_workteams")
-> ListWorkteamsPaginatorclient.get_paginator("search")
-> SearchPaginator
get_waiter
Type annotations and code completion for boto3.client("sagemaker").get_waiter
method with overloads.
client.get_waiter("endpoint_deleted")
-> EndpointDeletedWaiterclient.get_waiter("endpoint_in_service")
-> EndpointInServiceWaiterclient.get_waiter("image_created")
-> ImageCreatedWaiterclient.get_waiter("image_deleted")
-> ImageDeletedWaiterclient.get_waiter("image_updated")
-> ImageUpdatedWaiterclient.get_waiter("image_version_created")
-> ImageVersionCreatedWaiterclient.get_waiter("image_version_deleted")
-> ImageVersionDeletedWaiterclient.get_waiter("notebook_instance_deleted")
-> NotebookInstanceDeletedWaiterclient.get_waiter("notebook_instance_in_service")
-> NotebookInstanceInServiceWaiterclient.get_waiter("notebook_instance_stopped")
-> NotebookInstanceStoppedWaiterclient.get_waiter("processing_job_completed_or_stopped")
-> ProcessingJobCompletedOrStoppedWaiterclient.get_waiter("training_job_completed_or_stopped")
-> TrainingJobCompletedOrStoppedWaiterclient.get_waiter("transform_job_completed_or_stopped")
-> TransformJobCompletedOrStoppedWaiter