Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
" }, @@ -177,8 +177,8 @@ "input":{"shape":"CreateClusterRequest"}, "output":{"shape":"CreateClusterResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
" }, @@ -191,8 +191,8 @@ "input":{"shape":"CreateClusterSchedulerConfigRequest"}, "output":{"shape":"CreateClusterSchedulerConfigResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Create cluster policy configuration. This policy is used for task prioritization and fair-share allocation of idle compute. This helps prioritize critical workloads and distributes idle compute across entities.
" }, @@ -229,8 +229,8 @@ "input":{"shape":"CreateComputeQuotaRequest"}, "output":{"shape":"CreateComputeQuotaResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Create compute allocation definition. This defines how compute is allocated, shared, and borrowed for specified entities. Specifically, how to lend and borrow idle compute and assign a fair-share weight to the specified entities.
" }, @@ -256,8 +256,8 @@ "input":{"shape":"CreateDataQualityJobDefinitionRequest"}, "output":{"shape":"CreateDataQualityJobDefinitionResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
" }, @@ -283,8 +283,8 @@ "input":{"shape":"CreateDomainRequest"}, "output":{"shape":"CreateDomainResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.
VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker AI Studio app successfully.
For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.
" }, @@ -387,8 +387,8 @@ "input":{"shape":"CreateFlowDefinitionRequest"}, "output":{"shape":"CreateFlowDefinitionResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a flow definition.
" }, @@ -430,8 +430,8 @@ "input":{"shape":"CreateHumanTaskUiRequest"}, "output":{"shape":"CreateHumanTaskUiResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
" }, @@ -472,9 +472,9 @@ "input":{"shape":"CreateImageVersionRequest"}, "output":{"shape":"CreateImageVersionResponse"}, "errors":[ + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a version of the SageMaker AI image specified by ImageName. The version represents the Amazon ECR container image specified by BaseImage.
Creates the definition for a model bias job.
" }, @@ -582,8 +582,8 @@ "input":{"shape":"CreateModelCardRequest"}, "output":{"shape":"CreateModelCardResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
" }, @@ -596,9 +596,9 @@ "input":{"shape":"CreateModelCardExportJobRequest"}, "output":{"shape":"CreateModelCardExportJobResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates an Amazon SageMaker Model Card export job.
" }, @@ -611,8 +611,8 @@ "input":{"shape":"CreateModelExplainabilityJobDefinitionRequest"}, "output":{"shape":"CreateModelExplainabilityJobDefinitionResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates the definition for a model explainability job.
" }, @@ -652,8 +652,8 @@ "input":{"shape":"CreateModelQualityJobDefinitionRequest"}, "output":{"shape":"CreateModelQualityJobDefinitionResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
" }, @@ -666,8 +666,8 @@ "input":{"shape":"CreateMonitoringScheduleRequest"}, "output":{"shape":"CreateMonitoringScheduleResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
" }, @@ -720,8 +720,8 @@ "input":{"shape":"CreatePartnerAppRequest"}, "output":{"shape":"CreatePartnerAppResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates an Amazon SageMaker Partner AI App.
" }, @@ -747,9 +747,9 @@ "input":{"shape":"CreatePipelineRequest"}, "output":{"shape":"CreatePipelineResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a pipeline using a JSON pipeline definition.
" }, @@ -798,9 +798,9 @@ "input":{"shape":"CreateProcessingJobRequest"}, "output":{"shape":"CreateProcessingJobResponse"}, "errors":[ + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a processing job.
" }, @@ -826,8 +826,8 @@ "input":{"shape":"CreateSpaceRequest"}, "output":{"shape":"CreateSpaceResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a private space or a space used for real time collaboration in a domain.
" }, @@ -853,9 +853,9 @@ "input":{"shape":"CreateTrainingJobRequest"}, "output":{"shape":"CreateTrainingJobResponse"}, "errors":[ + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets, or tokens in any hyperparameter fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request hyperparameter variable or plain text fields.
InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx location where it is stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want SageMaker to save the results of model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.
RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that SageMaker can successfully complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to complete.
Environment - The environment variables to set in the Docker container.
Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.
RetryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.
For more information about SageMaker, see How It Works.
" }, @@ -868,9 +868,9 @@ "input":{"shape":"CreateTrainingPlanRequest"}, "output":{"shape":"CreateTrainingPlanResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a new training plan in SageMaker to reserve compute capacity.
Amazon SageMaker Training Plan is a capability within SageMaker that allows customers to reserve and manage GPU capacity for large-scale AI model training. It provides a way to secure predictable access to computational resources within specific timelines and budgets, without the need to manage underlying infrastructure.
How it works
Plans can be created for specific resources such as SageMaker Training Jobs or SageMaker HyperPod clusters, automatically provisioning resources, setting up infrastructure, executing workloads, and handling infrastructure failures.
Plan creation workflow
Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration) using the SearchTrainingPlanOfferings API operation.
They create a plan that best matches their needs using the ID of the plan offering they want to use.
After successful upfront payment, the plan's status becomes Scheduled.
The plan can be used to:
Queue training jobs.
Allocate to an instance group of a SageMaker HyperPod cluster.
When the plan start date arrives, it becomes Active. Based on available reserved capacity:
Training jobs are launched.
Instance groups are provisioned.
Plan composition
A plan can consist of one or more Reserved Capacities, each defined by a specific instance type, quantity, Availability Zone, duration, and start and end times. For more information about Reserved Capacity, see ReservedCapacitySummary .
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same Amazon Web Services Region and Amazon Web Services account. For information on creating a model, see CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
TransformResources - Identifies the ML compute instances and AMI image versions for the transform job.
For more information about how batch transformation works, see Batch Transform.
" }, @@ -925,8 +925,8 @@ "input":{"shape":"CreateUserProfileRequest"}, "output":{"shape":"CreateUserProfileResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceInUse"} + {"shape":"ResourceInUse"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a \"person\" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System home directory.
" }, @@ -987,8 +987,8 @@ }, "input":{"shape":"DeleteAppRequest"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Used to stop and delete an app.
" }, @@ -1039,8 +1039,8 @@ "input":{"shape":"DeleteClusterRequest"}, "output":{"shape":"DeleteClusterResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Delete a SageMaker HyperPod cluster.
" }, @@ -1134,8 +1134,8 @@ }, "input":{"shape":"DeleteDomainRequest"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
" }, @@ -1215,8 +1215,8 @@ "input":{"shape":"DeleteFlowDefinitionRequest"}, "output":{"shape":"DeleteFlowDefinitionResponse"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Deletes the specified flow definition.
" }, @@ -1228,8 +1228,8 @@ }, "input":{"shape":"DeleteHubRequest"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Delete a hub.
" }, @@ -1241,8 +1241,8 @@ }, "input":{"shape":"DeleteHubContentRequest"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Delete the contents of a hub.
" }, @@ -1289,8 +1289,8 @@ "input":{"shape":"DeleteImageRequest"}, "output":{"shape":"DeleteImageResponse"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Deletes a SageMaker AI image and all versions of the image. The container images aren't deleted.
" }, @@ -1303,8 +1303,8 @@ "input":{"shape":"DeleteImageVersionRequest"}, "output":{"shape":"DeleteImageVersionResponse"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Deletes a version of a SageMaker AI image. The container image the version represents isn't deleted.
" }, @@ -1373,8 +1373,8 @@ }, "input":{"shape":"DeleteModelCardRequest"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Deletes an Amazon SageMaker Model Card.
" }, @@ -1486,8 +1486,8 @@ "input":{"shape":"DeletePartnerAppRequest"}, "output":{"shape":"DeletePartnerAppResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Deletes a SageMaker Partner AI App.
" }, @@ -1500,8 +1500,8 @@ "input":{"shape":"DeletePipelineRequest"}, "output":{"shape":"DeletePipelineResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline, all instances of the pipeline are deleted.
Used to delete a space.
" }, @@ -1587,8 +1587,8 @@ }, "input":{"shape":"DeleteUserProfileRequest"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
" }, @@ -2562,9 +2562,9 @@ "input":{"shape":"ImportHubContentRequest"}, "output":{"shape":"ImportHubContentResponse"}, "errors":[ + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Import hub content.
" }, @@ -3504,9 +3504,9 @@ "input":{"shape":"RetryPipelineExecutionRequest"}, "output":{"shape":"RetryPipelineExecutionResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Retry the execution of the pipeline.
" }, @@ -3542,9 +3542,9 @@ "input":{"shape":"SendPipelineExecutionStepFailureRequest"}, "output":{"shape":"SendPipelineExecutionStepFailureResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
" }, @@ -3557,9 +3557,9 @@ "input":{"shape":"SendPipelineExecutionStepSuccessRequest"}, "output":{"shape":"SendPipelineExecutionStepSuccessResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
" }, @@ -3595,8 +3595,8 @@ "input":{"shape":"StartMlflowTrackingServerRequest"}, "output":{"shape":"StartMlflowTrackingServerResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Programmatically start an MLflow Tracking Server.
" }, @@ -3633,9 +3633,9 @@ "input":{"shape":"StartPipelineExecutionRequest"}, "output":{"shape":"StartPipelineExecutionResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Starts a pipeline execution.
" }, @@ -3740,8 +3740,8 @@ "input":{"shape":"StopMlflowTrackingServerRequest"}, "output":{"shape":"StopMlflowTrackingServerResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Programmatically stop an MLflow Tracking Server.
" }, @@ -3787,8 +3787,8 @@ "input":{"shape":"StopPipelineExecutionRequest"}, "output":{"shape":"StopPipelineExecutionResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Stops a pipeline execution.
Callback Step
A pipeline execution won't stop while a callback step is running. When you call StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a \"Status\" field which is set to \"Stopping\".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or SendPipelineExecutionStepFailure.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is hit the pipeline execution status is Failed.
Updates a SageMaker HyperPod cluster.
" }, @@ -3893,9 +3893,9 @@ "input":{"shape":"UpdateClusterSchedulerConfigRequest"}, "output":{"shape":"UpdateClusterSchedulerConfigResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Update the cluster policy configuration.
" }, @@ -3908,8 +3908,8 @@ "input":{"shape":"UpdateClusterSoftwareRequest"}, "output":{"shape":"UpdateClusterSoftwareResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Updates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.
The UpgradeClusterSoftware API call may impact your SageMaker HyperPod cluster uptime and availability. Plan accordingly to mitigate potential disruptions to your workloads.
Update the compute allocation definition.
" }, @@ -3985,9 +3985,9 @@ "input":{"shape":"UpdateDomainRequest"}, "output":{"shape":"UpdateDomainResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Updates the default settings for new user profiles in the domain.
" }, @@ -4107,8 +4107,8 @@ "input":{"shape":"UpdateImageRequest"}, "output":{"shape":"UpdateImageResponse"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Updates the properties of a SageMaker AI image. To change the image's tags, use the AddTags and DeleteTags APIs.
" }, @@ -4121,8 +4121,8 @@ "input":{"shape":"UpdateImageVersionRequest"}, "output":{"shape":"UpdateImageVersionResponse"}, "errors":[ - {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceInUse"} ], "documentation":"Updates the properties of a SageMaker AI image version.
" }, @@ -4175,9 +4175,9 @@ "input":{"shape":"UpdateMlflowTrackingServerRequest"}, "output":{"shape":"UpdateMlflowTrackingServerResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Updates properties of an existing MLflow Tracking Server.
" }, @@ -4190,9 +4190,9 @@ "input":{"shape":"UpdateModelCardRequest"}, "output":{"shape":"UpdateModelCardResponse"}, "errors":[ + {"shape":"ConflictException"}, {"shape":"ResourceNotFound"}, - {"shape":"ResourceLimitExceeded"}, - {"shape":"ConflictException"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Update an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
Update the parameters of a model monitor alert.
" }, @@ -4232,8 +4232,8 @@ "input":{"shape":"UpdateMonitoringScheduleRequest"}, "output":{"shape":"UpdateMonitoringScheduleResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceNotFound"}, + {"shape":"ResourceLimitExceeded"} ], "documentation":"Updates a previously created schedule.
" }, @@ -4272,8 +4272,8 @@ "input":{"shape":"UpdatePartnerAppRequest"}, "output":{"shape":"UpdatePartnerAppResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Updates all of the SageMaker Partner AI Apps in an account.
" }, @@ -4286,8 +4286,8 @@ "input":{"shape":"UpdatePipelineRequest"}, "output":{"shape":"UpdatePipelineResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Updates a pipeline.
" }, @@ -4300,8 +4300,8 @@ "input":{"shape":"UpdatePipelineExecutionRequest"}, "output":{"shape":"UpdatePipelineExecutionResponse"}, "errors":[ - {"shape":"ResourceNotFound"}, - {"shape":"ConflictException"} + {"shape":"ConflictException"}, + {"shape":"ResourceNotFound"} ], "documentation":"Updates a pipeline execution.
" }, @@ -4327,9 +4327,9 @@ "input":{"shape":"UpdateSpaceRequest"}, "output":{"shape":"UpdateSpaceResponse"}, "errors":[ - {"shape":"ResourceLimitExceeded"}, + {"shape":"ResourceNotFound"}, {"shape":"ResourceInUse"}, - {"shape":"ResourceNotFound"} + {"shape":"ResourceLimitExceeded"} ], "documentation":"Updates the settings of a space.
You can't edit the app type of a space in the SpaceSettings.
Updates a user profile.
" }, @@ -4421,6 +4421,7 @@ "Accept":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "AcceptEula":{"type":"boolean"}, @@ -4428,11 +4429,12 @@ "type":"string", "max":12, "min":12, - "pattern":"^\\d+$" + "pattern":"\\d+" }, "ActionArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:action/.*" }, "ActionSource":{ @@ -4573,7 +4575,8 @@ "AdditionalCodeRepositoryNamesOrUrls":{ "type":"list", "member":{"shape":"CodeRepositoryNameOrUrl"}, - "max":3 + "max":3, + "min":0 }, "AdditionalInferenceSpecificationDefinition":{ "type":"structure", @@ -4692,7 +4695,8 @@ }, "AgentCount":{ "shape":"Long", - "documentation":"The number of Edge Manager agents.
" + "documentation":"The number of Edge Manager agents.
", + "box":true } }, "documentation":"Edge Manager agent version.
" @@ -4749,17 +4753,18 @@ "type":"string", "max":255, "min":1, - "pattern":"^(?!\\s*$).+" + "pattern":"(?!\\s*$).+" }, "AlgorithmArn":{ "type":"string", "max":2048, "min":1, - "pattern":"^arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:algorithm/[\\S]{1,2048}$" + "pattern":"arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:algorithm/[\\S]{1,2048}" }, "AlgorithmImage":{ "type":"string", "max":255, + "min":0, "pattern":".*" }, "AlgorithmSortBy":{ @@ -4788,7 +4793,8 @@ }, "EnableSageMakerMetricsTimeSeries":{ "shape":"Boolean", - "documentation":"To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:
You use one of the SageMaker built-in algorithms
You use one of the following Prebuilt SageMaker Docker Images:
Tensorflow (version >= 1.15)
MXNet (version >= 1.6)
PyTorch (version >= 1.3)
You specify at least one MetricDefinition
To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:
You use one of the SageMaker built-in algorithms
You use one of the following Prebuilt SageMaker Docker Images:
Tensorflow (version >= 1.15)
MXNet (version >= 1.6)
PyTorch (version >= 1.3)
You specify at least one MetricDefinition
To allow your AutoML job V2 to automatically initiate a remote job on EMR Serverless when additional compute resources are needed to process large datasets, you need to provide an EmrServerlessComputeConfig object, which includes an ExecutionRoleARN attribute, to the AutoMLComputeConfig of the AutoML job V2 input request.
By seamlessly transitioning to EMR Serverless when required, the AutoML job can handle datasets that would otherwise exceed the initially provisioned resources, without any manual intervention from you.
EMR Serverless is available for the tabular and time series problem types. We recommend setting up this option for tabular datasets larger than 5 GB and time series datasets larger than 30 GB.
" } }, - "documentation":"This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for an AutoML job V2.
" + "documentation":"This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for an AutoML job V2.
" }, "AutoMLContainerDefinition":{ "type":"structure", @@ -5919,7 +5941,8 @@ "AutoMLContainerDefinitions":{ "type":"list", "member":{"shape":"AutoMLContainerDefinition"}, - "max":5 + "max":5, + "min":0 }, "AutoMLDataSource":{ "type":"structure", @@ -5944,7 +5967,8 @@ }, "AutoMLFailureReason":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "AutoMLInferenceContainerDefinitions":{ "type":"map", @@ -5957,7 +5981,8 @@ "documentation":"Information about the recommended inference container definitions.
" }, "documentation":"The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate. This field is populated for the V2 API only (for example, for jobs created by calling CreateAutoMLJobV2).
Whether to use traffic encryption between the container layers.
" + "documentation":"Whether to use traffic encryption between the container layers.
", + "box":true }, "VpcConfig":{ "shape":"VpcConfig", @@ -6487,6 +6514,7 @@ }, "AvailableInstanceCount":{ "type":"integer", + "box":true, "min":0 }, "AwsManagedHumanLoopRequestSource":{ @@ -6504,7 +6532,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "BatchDataCaptureConfig":{ "type":"structure", @@ -6520,7 +6548,8 @@ }, "GenerateInferenceId":{ "shape":"Boolean", - "documentation":"Flag that indicates whether to append inference id to the output.
" + "documentation":"Flag that indicates whether to append inference id to the output.
", + "box":true } }, "documentation":"Configuration to control how SageMaker captures inference data for batch transform jobs.
" @@ -6776,11 +6805,13 @@ }, "BillableTimeInSeconds":{ "type":"integer", + "box":true, "min":1 }, "BlockedReason":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "BlueGreenUpdatePolicy":{ "type":"structure", @@ -6811,6 +6842,7 @@ }, "BorrowLimit":{ "type":"integer", + "box":true, "max":500, "min":1 }, @@ -6858,7 +6890,7 @@ "type":"string", "max":10, "min":10, - "pattern":"^[a-zA-Z0-9]+$" + "pattern":"[a-zA-Z0-9]+" }, "CandidateArtifactLocations":{ "type":"structure", @@ -7036,10 +7068,12 @@ }, "CapacitySizeValue":{ "type":"integer", + "box":true, "min":1 }, "CapacityUnit":{ "type":"integer", + "box":true, "max":10000000, "min":0 }, @@ -7228,7 +7262,8 @@ }, "IsRequired":{ "shape":"Boolean", - "documentation":"Indicates whether the channel is required by the algorithm.
" + "documentation":"Indicates whether the channel is required by the algorithm.
", + "box":true }, "SupportedContentTypes":{ "shape":"ContentTypes", @@ -7305,11 +7340,13 @@ }, "SkipCheck":{ "shape":"Boolean", - "documentation":"This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.
The container for the metadata for the ClarifyCheck step. For more information, see the topic on ClarifyCheck step in the Amazon SageMaker Developer Guide.
" @@ -7441,21 +7478,25 @@ }, "ClarifyLabelIndex":{ "type":"integer", + "box":true, "min":0 }, "ClarifyMaxPayloadInMB":{ "type":"integer", + "box":true, "max":25, "min":1 }, "ClarifyMaxRecordCount":{ "type":"integer", + "box":true, "min":1 }, "ClarifyMimeType":{ "type":"string", "max":255, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9+.])*" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9+.])*" }, "ClarifyProbabilityAttribute":{ "type":"string", @@ -7465,6 +7506,7 @@ }, "ClarifyProbabilityIndex":{ "type":"integer", + "box":true, "min":0 }, "ClarifyShapBaseline":{ @@ -7520,10 +7562,17 @@ }, "ClarifyShapNumberOfSamples":{ "type":"integer", + "box":true, "min":1 }, - "ClarifyShapSeed":{"type":"integer"}, - "ClarifyShapUseLogit":{"type":"boolean"}, + "ClarifyShapSeed":{ + "type":"integer", + "box":true + }, + "ClarifyShapUseLogit":{ + "type":"boolean", + "box":true + }, "ClarifyTextConfig":{ "type":"structure", "required":[ @@ -7632,20 +7681,21 @@ "type":"string", "max":36, "min":1, - "pattern":"^[a-zA-Z0-9-]+$" + "pattern":"[a-zA-Z0-9-]+" }, "ClusterArn":{ "type":"string", "max":256, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:cluster/[a-z0-9]{12}$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:cluster/[a-z0-9]{12}" }, "ClusterAvailabilityZone":{ "type":"string", - "pattern":"^[a-z]{2}-[a-z]+-\\d[a-z]$" + "pattern":"[a-z]{2}-[a-z]+-\\d[a-z]" }, "ClusterAvailabilityZoneId":{ "type":"string", - "pattern":"^[a-z]{3}\\d-az\\d$" + "pattern":"[a-z]{3}\\d-az\\d" }, "ClusterEbsVolumeConfig":{ "type":"structure", @@ -7660,11 +7710,13 @@ }, "ClusterEbsVolumeSizeInGB":{ "type":"integer", + "box":true, "max":16384, "min":1 }, "ClusterInstanceCount":{ "type":"integer", + "box":true, "max":6758, "min":0 }, @@ -7738,7 +7790,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "ClusterInstanceGroupSpecification":{ "type":"structure", @@ -7863,7 +7915,8 @@ "ClusterInstanceStorageConfigs":{ "type":"list", "member":{"shape":"ClusterInstanceStorageConfig"}, - "max":1 + "max":1, + "min":0 }, "ClusterInstanceType":{ "type":"string", @@ -8003,18 +8056,19 @@ "type":"string", "max":128, "min":1, - "pattern":"^[\\S\\s]+$" + "pattern":"[\\S\\s]+" }, "ClusterName":{ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "ClusterNameOrArn":{ "type":"string", "max":256, - "pattern":"^(arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:cluster/[a-z0-9]{12})|([a-zA-Z0-9](-*[a-zA-Z0-9]){0,62})$" + "min":0, + "pattern":"(arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:cluster/[a-z0-9]{12})|([a-zA-Z0-9](-*[a-zA-Z0-9]){0,62})" }, "ClusterNodeDetails":{ "type":"structure", @@ -8082,7 +8136,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^i-[a-f0-9]{8}(?:[a-f0-9]{9})?$" + "pattern":"i-[a-f0-9]{8}(?:[a-f0-9]{9})?" }, "ClusterNodeIds":{ "type":"list", @@ -8140,6 +8194,7 @@ }, "ClusterNonNegativeInstanceCount":{ "type":"integer", + "box":true, "min":0 }, "ClusterOrchestrator":{ @@ -8166,22 +8221,24 @@ }, "ClusterPrivateDnsHostname":{ "type":"string", - "pattern":"^ip-((25[0-5]|(2[0-4]|1\\d|[1-9]|)\\d)-?\\b){4}\\..*$" + "pattern":"ip-((25[0-5]|(2[0-4]|1\\d|[1-9]|)\\d)-?\\b){4}\\..*" }, "ClusterPrivatePrimaryIp":{ "type":"string", - "pattern":"^((25[0-5]|(2[0-4]|1\\d|[1-9]|)\\d)\\.?\\b){4}$" + "pattern":"((25[0-5]|(2[0-4]|1\\d|[1-9]|)\\d)\\.?\\b){4}" }, "ClusterPrivatePrimaryIpv6":{"type":"string"}, "ClusterSchedulerConfigArn":{ "type":"string", "max":256, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:cluster-scheduler-config/[a-z0-9]{12}$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:cluster-scheduler-config/[a-z0-9]{12}" }, "ClusterSchedulerConfigId":{ "type":"string", "max":12, - "pattern":"^[a-z0-9]{12}$" + "min":0, + "pattern":"[a-z0-9]{12}" }, "ClusterSchedulerConfigSummary":{ "type":"structure", @@ -8203,7 +8260,8 @@ }, "ClusterSchedulerConfigVersion":{ "shape":"Integer", - "documentation":"Version of the cluster policy.
" + "documentation":"Version of the cluster policy.
", + "box":true }, "Name":{ "shape":"EntityName", @@ -8236,7 +8294,7 @@ }, "ClusterSchedulerPriorityClassName":{ "type":"string", - "pattern":"^[a-z0-9]([-a-z0-9]*[a-z0-9]){0,39}?$" + "pattern":"[a-z0-9]([-a-z0-9]*[a-z0-9]){0,39}?" }, "ClusterSortBy":{ "type":"string", @@ -8295,6 +8353,7 @@ }, "ClusterThreadsPerCore":{ "type":"integer", + "box":true, "max":2, "min":1 }, @@ -8332,7 +8391,8 @@ "CodeRepositories":{ "type":"list", "member":{"shape":"CodeRepository"}, - "max":10 + "max":10, + "min":0 }, "CodeRepository":{ "type":"structure", @@ -8349,23 +8409,25 @@ "type":"string", "max":2048, "min":1, - "pattern":"^arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:code-repository/[\\S]{1,2048}$" + "pattern":"arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:code-repository/[\\S]{1,2048}" }, "CodeRepositoryContains":{ "type":"string", "max":1024, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "CodeRepositoryNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "CodeRepositoryNameOrUrl":{ "type":"string", "max":1024, "min":1, - "pattern":"^https://([^/]+)/?(.*)$|^[a-zA-Z0-9](-*[a-zA-Z0-9])*" + "pattern":"https://([^/]+)/?(.*)$|^[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "CodeRepositorySortBy":{ "type":"string", @@ -8526,6 +8588,7 @@ "CompilationJobArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:compilation-job/.*" }, "CompilationJobStatus":{ @@ -8626,7 +8689,8 @@ "ComputeQuotaArn":{ "type":"string", "max":2048, - "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:compute-quota/[a-z0-9]{12}$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:compute-quota/[a-z0-9]{12}" }, "ComputeQuotaConfig":{ "type":"structure", @@ -8648,7 +8712,7 @@ }, "ComputeQuotaId":{ "type":"string", - "pattern":"^[a-z0-9]{12}$" + "pattern":"[a-z0-9]{12}" }, "ComputeQuotaResourceConfig":{ "type":"structure", @@ -8699,7 +8763,8 @@ }, "ComputeQuotaVersion":{ "shape":"Integer", - "documentation":"Version of the compute allocation definition.
" + "documentation":"Version of the compute allocation definition.
", + "box":true }, "Status":{ "shape":"SchedulerResourceStatus", @@ -8755,7 +8820,7 @@ }, "ComputeQuotaTargetTeamName":{ "type":"string", - "pattern":"^[a-z0-9]([-a-z0-9]*[a-z0-9]){0,39}?$" + "pattern":"[a-z0-9]([-a-z0-9]*[a-z0-9]){0,39}?" }, "ConditionOutcome":{ "type":"string", @@ -8783,6 +8848,7 @@ "ConfigValue":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ConflictException":{ @@ -8796,6 +8862,7 @@ "ContainerArgument":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ContainerArguments":{ @@ -8875,7 +8942,8 @@ "ContainerDefinitionList":{ "type":"list", "member":{"shape":"ContainerDefinition"}, - "max":15 + "max":15, + "min":0 }, "ContainerEntrypoint":{ "type":"list", @@ -8886,16 +8954,19 @@ "ContainerEntrypointString":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ContainerHostname":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "ContainerImage":{ "type":"string", "max":255, + "min":0, "pattern":"[\\S]+" }, "ContainerMode":{ @@ -8915,7 +8986,8 @@ "ContentClassifiers":{ "type":"list", "member":{"shape":"ContentClassifier"}, - "max":256 + "max":256, + "min":0 }, "ContentColumn":{ "type":"string", @@ -8925,11 +8997,13 @@ "ContentDigest":{ "type":"string", "max":72, - "pattern":"^[Ss][Hh][Aa]256:[0-9a-fA-F]{64}$" + "min":0, + "pattern":"[Ss][Hh][Aa]256:[0-9a-fA-F]{64}" }, "ContentType":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ContentTypes":{ @@ -8939,13 +9013,14 @@ "ContextArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:context/.*" }, "ContextName":{ "type":"string", "max":120, "min":1, - "pattern":"^[a-zA-Z0-9]([-_]*[a-zA-Z0-9]){0,119}" + "pattern":"[a-zA-Z0-9]([-_]*[a-zA-Z0-9]){0,119}" }, "ContextNameOrArn":{ "type":"string", @@ -9150,7 +9225,8 @@ }, "CertifyForMarketplace":{ "shape":"CertifyForMarketplace", - "documentation":"Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
" + "documentation":"Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
", + "box":true }, "Tags":{ "shape":"TagList", @@ -9241,7 +9317,8 @@ }, "RecoveryMode":{ "shape":"Boolean", - "documentation":"Indicates whether the application is launched in recovery mode.
" + "documentation":"Indicates whether the application is launched in recovery mode.
", + "box":true } } }, @@ -9332,7 +9409,8 @@ }, "GenerateCandidateDefinitionsOnly":{ "shape":"GenerateCandidateDefinitionsOnly", - "documentation":"Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
" + "documentation":"Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
", + "box":true }, "Tags":{ "shape":"TagList", @@ -10008,7 +10086,8 @@ "VpcConfig":{"shape":"VpcConfig"}, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
" + "documentation":"Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
", + "box":true } } }, @@ -10440,7 +10519,8 @@ }, "Horovod":{ "shape":"Horovod", - "documentation":"Indicates Horovod compatibility.
" + "documentation":"Indicates Horovod compatibility.
", + "box":true }, "ReleaseNotes":{ "shape":"ReleaseNotes", @@ -10714,7 +10794,8 @@ }, "AutomaticModelRegistration":{ "shape":"Boolean", - "documentation":"Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
" + "documentation":"The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
", + "box":true }, "ModelCardExportJobName":{ "shape":"EntityName", @@ -10953,7 +11035,8 @@ }, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
" + "documentation":"Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
", + "box":true } } }, @@ -11024,7 +11107,8 @@ }, "CertifyForMarketplace":{ "shape":"CertifyForMarketplace", - "documentation":"Whether to certify the model package for listing on Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
" + "documentation":"Whether to certify the model package for listing on Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
", + "box":true }, "Tags":{ "shape":"TagList", @@ -11431,7 +11515,8 @@ }, "EnableIamSessionBasedIdentity":{ "shape":"Boolean", - "documentation":"When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
" + "documentation":"Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
", + "box":true }, "EnableInterContainerTrafficEncryption":{ "shape":"Boolean", - "documentation":"To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
To train models using managed spot training, choose True. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
" + "documentation":"To train models using managed spot training, choose True. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
", + "box":true }, "CheckpointConfig":{ "shape":"CheckpointConfig", @@ -12230,7 +12318,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*" }, "CsvContentTypes":{ "type":"list", @@ -12272,12 +12360,14 @@ "CustomFileSystemConfigs":{ "type":"list", "member":{"shape":"CustomFileSystemConfig"}, - "max":10 + "max":10, + "min":0 }, "CustomFileSystems":{ "type":"list", "member":{"shape":"CustomFileSystem"}, - "max":5 + "max":5, + "min":0 }, "CustomImage":{ "type":"structure", @@ -12292,8 +12382,7 @@ }, "ImageVersionNumber":{ "shape":"ImageVersionNumber", - "documentation":"The version number of the CustomImage.
", - "box":true + "documentation":"The version number of the CustomImage.
" }, "AppImageConfigName":{ "shape":"AppImageConfigName", @@ -12305,23 +12394,27 @@ "CustomImageContainerArguments":{ "type":"list", "member":{"shape":"NonEmptyString64"}, - "max":50 + "max":50, + "min":0 }, "CustomImageContainerEntrypoint":{ "type":"list", "member":{"shape":"NonEmptyString256"}, - "max":1 + "max":1, + "min":0 }, "CustomImageContainerEnvironmentVariables":{ "type":"map", "key":{"shape":"NonEmptyString256"}, "value":{"shape":"String256"}, - "max":25 + "max":25, + "min":0 }, "CustomImages":{ "type":"list", "member":{"shape":"CustomImage"}, - "max":200 + "max":200, + "min":0 }, "CustomPosixUserConfig":{ "type":"structure", @@ -12345,7 +12438,7 @@ "type":"string", "max":128, "min":1, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:\\/=+\\-@]*)${1,128}" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:\\/=+\\-@]*)${1,128}" }, "CustomerMetadataKeyList":{ "type":"list", @@ -12362,7 +12455,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:\\/=+\\-@]*)${1,256}" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:\\/=+\\-@]*)${1,256}" }, "CustomizedMetricSpecification":{ "type":"structure", @@ -12392,7 +12485,8 @@ "members":{ "EnableCapture":{ "shape":"EnableCapture", - "documentation":"Whether data capture should be enabled or disabled (defaults to enabled).
" + "documentation":"Whether data capture should be enabled or disabled (defaults to enabled).
", + "box":true }, "InitialSamplingPercentage":{ "shape":"SamplingPercentage", @@ -12429,7 +12523,8 @@ "members":{ "EnableCapture":{ "shape":"EnableCapture", - "documentation":"Whether data capture is enabled or disabled.
" + "documentation":"Whether data capture is enabled or disabled.
", + "box":true }, "CaptureStatus":{ "shape":"CaptureStatus", @@ -12661,7 +12756,8 @@ }, "VolumeSizeInGB":{ "shape":"OptionalVolumeSizeInGB", - "documentation":"The size, in GB, of the ML storage volume attached to the processing instance.
" + "documentation":"The size, in GB, of the ML storage volume attached to the processing instance.
", + "box":true }, "RuleParameters":{ "shape":"RuleParameters", @@ -13098,7 +13194,8 @@ }, "DeleteFlowDefinitionResponse":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteHubContentReferenceRequest":{ "type":"structure", @@ -13171,7 +13268,8 @@ }, "DeleteHumanTaskUiResponse":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteHyperParameterTuningJobRequest":{ "type":"structure", @@ -13195,7 +13293,8 @@ }, "DeleteImageResponse":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteImageVersionRequest":{ "type":"structure", @@ -13217,7 +13316,8 @@ }, "DeleteImageVersionResponse":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteInferenceComponentInput":{ "type":"structure", @@ -13495,7 +13595,8 @@ }, "DeleteTagsOutput":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteTrialComponentRequest":{ "type":"structure", @@ -13564,7 +13665,8 @@ }, "DeleteWorkforceResponse":{ "type":"structure", - "members":{} + "members":{ + } }, "DeleteWorkteamRequest":{ "type":"structure", @@ -13582,18 +13684,21 @@ "members":{ "Success":{ "shape":"Success", - "documentation":"Returns true if the work team was successfully deleted; otherwise, returns false.
Returns true if the work team was successfully deleted; otherwise, returns false.
Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
" + "documentation":"Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
", + "box":true } } }, @@ -13989,7 +14095,8 @@ }, "RecoveryMode":{ "shape":"Boolean", - "documentation":"Indicates whether the application is launched in recovery mode.
" + "documentation":"Indicates whether the application is launched in recovery mode.
", + "box":true }, "LastHealthCheckTimestamp":{ "shape":"Timestamp", @@ -14157,7 +14264,8 @@ }, "GenerateCandidateDefinitionsOnly":{ "shape":"GenerateCandidateDefinitionsOnly", - "documentation":"Indicates whether the output for an AutoML job generates candidate definitions only.
" + "documentation":"Indicates whether the output for an AutoML job generates candidate definitions only.
", + "box":true }, "AutoMLJobArtifacts":{ "shape":"AutoMLJobArtifacts", @@ -14382,7 +14490,8 @@ }, "ClusterSchedulerConfigVersion":{ "shape":"Integer", - "documentation":"Version of the cluster policy.
" + "documentation":"Version of the cluster policy.
", + "box":true } } }, @@ -14411,7 +14520,8 @@ }, "ClusterSchedulerConfigVersion":{ "shape":"Integer", - "documentation":"Version of the cluster policy.
" + "documentation":"Version of the cluster policy.
", + "box":true }, "Status":{ "shape":"SchedulerResourceStatus", @@ -14596,7 +14706,8 @@ }, "ComputeQuotaVersion":{ "shape":"Integer", - "documentation":"Version of the compute allocation definition.
" + "documentation":"Version of the compute allocation definition.
", + "box":true } } }, @@ -14630,7 +14741,8 @@ }, "ComputeQuotaVersion":{ "shape":"Integer", - "documentation":"Version of the compute allocation definition.
" + "documentation":"Version of the compute allocation definition.
", + "box":true }, "Status":{ "shape":"SchedulerResourceStatus", @@ -14898,7 +15010,8 @@ }, "MaxModels":{ "shape":"Integer", - "documentation":"The maximum number of models.
" + "documentation":"The maximum number of models.
", + "box":true }, "NextToken":{ "shape":"NextToken", @@ -15033,7 +15146,8 @@ }, "MaxResults":{ "shape":"DeploymentStageMaxResults", - "documentation":"The maximum number of results to select (50 by default).
" + "documentation":"The maximum number of results to select (50 by default).
", + "box":true } } }, @@ -15065,15 +15179,18 @@ }, "EdgeDeploymentSuccess":{ "shape":"Integer", - "documentation":"The number of edge devices with the successful deployment.
" + "documentation":"The number of edge devices with the successful deployment.
", + "box":true }, "EdgeDeploymentPending":{ "shape":"Integer", - "documentation":"The number of edge devices yet to pick up deployment, or in progress.
" + "documentation":"The number of edge devices yet to pick up deployment, or in progress.
", + "box":true }, "EdgeDeploymentFailed":{ "shape":"Integer", - "documentation":"The number of edge devices that failed the deployment.
" + "documentation":"The number of edge devices that failed the deployment.
", + "box":true }, "Stages":{ "shape":"DeploymentStageStatusSummaries", @@ -15232,7 +15349,8 @@ "VpcConfig":{"shape":"VpcConfig"}, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
" + "documentation":"Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
", + "box":true } } }, @@ -16030,7 +16148,8 @@ }, "Horovod":{ "shape":"Horovod", - "documentation":"Indicates Horovod compatibility.
" + "documentation":"Indicates Horovod compatibility.
", + "box":true }, "ReleaseNotes":{ "shape":"ReleaseNotes", @@ -16473,7 +16592,8 @@ }, "AutomaticModelRegistration":{ "shape":"Boolean", - "documentation":"Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
" + "documentation":"Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
", + "box":true }, "CreationTime":{ "shape":"Timestamp", @@ -16588,7 +16708,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"The version of the model card that the model export job exports.
" + "documentation":"The version of the model card that the model export job exports.
", + "box":true }, "OutputConfig":{ "shape":"ModelCardExportOutputConfig", @@ -16622,7 +16743,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"The version of the model card to describe. If a version is not provided, then the latest version of the model card is described.
" + "documentation":"The version of the model card to describe. If a version is not provided, then the latest version of the model card is described.
", + "box":true } } }, @@ -16648,7 +16770,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"The version of the model card.
" + "documentation":"The version of the model card.
", + "box":true }, "Content":{ "shape":"ModelCardContent", @@ -16790,7 +16913,8 @@ }, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"If True, no inbound or outbound network calls can be made to or from the model container.
If True, no inbound or outbound network calls can be made to or from the model container.
Whether the model package is certified for listing on Amazon Web Services Marketplace.
" + "documentation":"Whether the model package is certified for listing on Amazon Web Services Marketplace.
", + "box":true }, "ModelApprovalStatus":{ "shape":"ModelApprovalStatus", @@ -17403,7 +17528,8 @@ }, "EnableIamSessionBasedIdentity":{ "shape":"Boolean", - "documentation":"When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
A Boolean indicating whether managed spot training is enabled (True) or not (False).
Percentage of devices in the fleet to deploy to the current stage.
" + "documentation":"Percentage of devices in the fleet to deploy to the current stage.
", + "box":true }, "DeviceNames":{ "shape":"DeviceNames", @@ -18700,11 +18832,13 @@ "members":{ "ConnectedDeviceCount":{ "shape":"Long", - "documentation":"The number of devices connected with a heartbeat.
" + "documentation":"The number of devices connected with a heartbeat.
", + "box":true }, "RegisteredDeviceCount":{ "shape":"Long", - "documentation":"The number of registered devices.
" + "documentation":"The number of registered devices.
", + "box":true } }, "documentation":"Status of devices.
" @@ -18773,6 +18907,7 @@ }, "Dimension":{ "type":"integer", + "box":true, "max":8192, "min":1 }, @@ -18804,16 +18939,19 @@ "DirectoryPath":{ "type":"string", "max":4096, + "min":0, "pattern":".*" }, "DisableProfiler":{"type":"boolean"}, "DisableSagemakerServicecatalogPortfolioInput":{ "type":"structure", - "members":{} + "members":{ + } }, "DisableSagemakerServicecatalogPortfolioOutput":{ "type":"structure", - "members":{} + "members":{ + } }, "DisassociateAdditionalCodeRepositories":{"type":"boolean"}, "DisassociateDefaultCodeRepository":{"type":"boolean"}, @@ -18867,7 +19005,7 @@ "type":"string", "max":14, "min":5, - "pattern":"^\\d{1,4}.\\d{1,4}.\\d{1,4}$" + "pattern":"\\d{1,4}.\\d{1,4}.\\d{1,4}" }, "Dollars":{ "type":"integer", @@ -18877,6 +19015,7 @@ "DomainArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:domain/.*" }, "DomainDetails":{ @@ -18916,7 +19055,8 @@ "DomainId":{ "type":"string", "max":63, - "pattern":"^d-(-*[a-z0-9]){1,61}" + "min":0, + "pattern":"d-(-*[a-z0-9]){1,61}" }, "DomainList":{ "type":"list", @@ -18925,12 +19065,14 @@ "DomainName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "DomainSecurityGroupIds":{ "type":"list", "member":{"shape":"SecurityGroupId"}, - "max":3 + "max":3, + "min":0 }, "DomainSettings":{ "type":"structure", @@ -19005,7 +19147,10 @@ ] }, "Double":{"type":"double"}, - "DoubleParameterValue":{"type":"double"}, + "DoubleParameterValue":{ + "type":"double", + "box":true + }, "DriftCheckBaselines":{ "type":"structure", "members":{ @@ -19093,19 +19238,23 @@ "members":{ "MinCapacity":{ "shape":"Integer", - "documentation":"The recommended minimum capacity to specify for your autoscaling policy.
" + "documentation":"The recommended minimum capacity to specify for your autoscaling policy.
", + "box":true }, "MaxCapacity":{ "shape":"Integer", - "documentation":"The recommended maximum capacity to specify for your autoscaling policy.
" + "documentation":"The recommended maximum capacity to specify for your autoscaling policy.
", + "box":true }, "ScaleInCooldown":{ "shape":"Integer", - "documentation":"The recommended scale in cooldown time for your autoscaling policy.
" + "documentation":"The recommended scale in cooldown time for your autoscaling policy.
", + "box":true }, "ScaleOutCooldown":{ "shape":"Integer", - "documentation":"The recommended scale out cooldown time for your autoscaling policy.
" + "documentation":"The recommended scale out cooldown time for your autoscaling policy.
", + "box":true }, "ScalingPolicies":{ "shape":"ScalingPolicies", @@ -19228,7 +19377,7 @@ "type":"string", "max":2048, "min":20, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z\\-]*:\\d{12}:edge-deployment/?[a-zA-Z_0-9+=,.@\\-_/]+$" + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z\\-]*:\\d{12}:edge-deployment/?[a-zA-Z_0-9+=,.@\\-_/]+" }, "EdgeDeploymentPlanSummaries":{ "type":"list", @@ -19259,15 +19408,18 @@ }, "EdgeDeploymentSuccess":{ "shape":"Integer", - "documentation":"The number of edge devices with the successful deployment.
" + "documentation":"The number of edge devices with the successful deployment.
", + "box":true }, "EdgeDeploymentPending":{ "shape":"Integer", - "documentation":"The number of edge devices yet to pick up the deployment, or in progress.
" + "documentation":"The number of edge devices yet to pick up the deployment, or in progress.
", + "box":true }, "EdgeDeploymentFailed":{ "shape":"Integer", - "documentation":"The number of edge devices that failed the deployment.
" + "documentation":"The number of edge devices that failed the deployment.
", + "box":true }, "CreationTime":{ "shape":"Timestamp", @@ -19295,15 +19447,18 @@ }, "EdgeDeploymentSuccessInStage":{ "shape":"Integer", - "documentation":"The number of edge devices with the successful deployment in the current stage.
" + "documentation":"The number of edge devices with the successful deployment in the current stage.
", + "box":true }, "EdgeDeploymentPendingInStage":{ "shape":"Integer", - "documentation":"The number of edge devices yet to pick up the deployment in current stage, or in progress.
" + "documentation":"The number of edge devices yet to pick up the deployment in current stage, or in progress.
", + "box":true }, "EdgeDeploymentFailedInStage":{ "shape":"Integer", - "documentation":"The number of edge devices that failed the deployment in current stage.
" + "documentation":"The number of edge devices that failed the deployment in current stage.
", + "box":true }, "EdgeDeploymentStatusMessage":{ "shape":"String", @@ -19363,19 +19518,23 @@ }, "OfflineDeviceCount":{ "shape":"Long", - "documentation":"The number of devices that have this model version and do not have a heart beat.
" + "documentation":"The number of devices that have this model version and do not have a heart beat.
", + "box":true }, "ConnectedDeviceCount":{ "shape":"Long", - "documentation":"The number of devices that have this model version and have a heart beat.
" + "documentation":"The number of devices that have this model version and have a heart beat.
", + "box":true }, "ActiveDeviceCount":{ "shape":"Long", - "documentation":"The number of devices that have this model version, a heart beat, and are currently running.
" + "documentation":"The number of devices that have this model version, a heart beat, and are currently running.
", + "box":true }, "SamplingDeviceCount":{ "shape":"Long", - "documentation":"The number of devices with this model version and are producing sample data.
" + "documentation":"The number of devices with this model version and are producing sample data.
", + "box":true } }, "documentation":"Status of edge devices with this model.
" @@ -19437,7 +19596,7 @@ "type":"string", "max":2048, "min":20, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z\\-]*:\\d{12}:edge-packaging-job/?[a-zA-Z_0-9+=,.@\\-_/]+$" + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z\\-]*:\\d{12}:edge-packaging-job/?[a-zA-Z_0-9+=,.@\\-_/]+" }, "EdgePackagingJobStatus":{ "type":"string", @@ -19549,13 +19708,14 @@ "EfsUid":{ "type":"string", "max":10, + "min":0, "pattern":"\\d+" }, "EksClusterArn":{ "type":"string", "max":2048, "min":20, - "pattern":"^arn:aws[a-z\\-]*:eks:[a-z0-9\\-]*:[0-9]{12}:cluster\\/[0-9A-Za-z][A-Za-z0-9\\-_]{0,99}$" + "pattern":"arn:aws[a-z\\-]*:eks:[a-z0-9\\-]*:[0-9]{12}:cluster\\/[0-9A-Za-z][A-Za-z0-9\\-_]{0,99}" }, "EmrServerlessComputeConfig":{ "type":"structure", @@ -19566,7 +19726,7 @@ "documentation":"The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see \"How to configure AutoML to initiate a remote job on EMR Serverless for large datasets\" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.
" } }, - "documentation":"This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for the EMR Serverless job.
" + "documentation":"This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for the EMR Serverless job.
" }, "EmrServerlessSettings":{ "type":"structure", @@ -19597,18 +19757,32 @@ "documentation":"The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
" }, "EnableCapture":{"type":"boolean"}, - "EnableInfraCheck":{"type":"boolean"}, - "EnableIotRoleAlias":{"type":"boolean"}, - "EnableRemoteDebug":{"type":"boolean"}, + "EnableInfraCheck":{ + "type":"boolean", + "box":true + }, + "EnableIotRoleAlias":{ + "type":"boolean", + "box":true + }, + "EnableRemoteDebug":{ + "type":"boolean", + "box":true + }, "EnableSagemakerServicecatalogPortfolioInput":{ "type":"structure", - "members":{} + "members":{ + } }, "EnableSagemakerServicecatalogPortfolioOutput":{ "type":"structure", - "members":{} + "members":{ + } + }, + "EnableSessionTagChaining":{ + "type":"boolean", + "box":true }, - "EnableSessionTagChaining":{"type":"boolean"}, "EnabledOrDisabled":{ "type":"string", "enum":[ @@ -19690,11 +19864,13 @@ "EndpointConfigName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "EndpointConfigNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "EndpointConfigSortKey":{ @@ -19856,11 +20032,13 @@ "EndpointName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "EndpointNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "EndpointOutputConfiguration":{ @@ -19908,7 +20086,8 @@ "EndpointPerformances":{ "type":"list", "member":{"shape":"EndpointPerformance"}, - "max":1 + "max":1, + "min":0 }, "EndpointSortKey":{ "type":"string", @@ -19982,29 +20161,33 @@ "Endpoints":{ "type":"list", "member":{"shape":"EndpointInfo"}, - "max":1 + "max":1, + "min":0 }, "EntityDescription":{ "type":"string", "max":1024, + "min":0, "pattern":"[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*" }, "EntityName":{ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "EnvironmentKey":{ "type":"string", "max":1024, + "min":0, "pattern":"[a-zA-Z_][a-zA-Z0-9_]*" }, "EnvironmentMap":{ "type":"map", "key":{"shape":"EnvironmentKey"}, "value":{"shape":"EnvironmentValue"}, - "max":100 + "max":100, + "min":0 }, "EnvironmentParameter":{ "type":"structure", @@ -20048,6 +20231,7 @@ "EnvironmentValue":{ "type":"string", "max":1024, + "min":0, "pattern":"[\\S\\s]*" }, "ErrorInfo":{ @@ -20066,12 +20250,14 @@ }, "ExcludeFeaturesAttribute":{ "type":"string", - "max":100 + "max":100, + "min":0 }, "ExecutionRoleArns":{ "type":"list", "member":{"shape":"RoleArn"}, - "max":5 + "max":5, + "min":0 }, "ExecutionRoleIdentityConfig":{ "type":"string", @@ -20095,6 +20281,7 @@ "ExitMessage":{ "type":"string", "max":1024, + "min":0, "pattern":"[\\S\\s]*" }, "Experiment":{ @@ -20140,6 +20327,7 @@ "ExperimentArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment/.*" }, "ExperimentConfig":{ @@ -20167,13 +20355,14 @@ "ExperimentDescription":{ "type":"string", "max":3072, + "min":0, "pattern":".*" }, "ExperimentEntityName":{ "type":"string", "max":120, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,119}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,119}" }, "ExperimentEntityNameOrArn":{ "type":"string", @@ -20199,6 +20388,7 @@ "ExperimentSourceArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*" }, "ExperimentSummaries":{ @@ -20234,6 +20424,7 @@ }, "ExpiresInSeconds":{ "type":"integer", + "box":true, "max":300, "min":5 }, @@ -20306,7 +20497,8 @@ }, "FailureReason":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "FairShare":{ "type":"string", @@ -20317,6 +20509,7 @@ }, "FairShareWeight":{ "type":"integer", + "box":true, "max":100, "min":0 }, @@ -20428,10 +20621,12 @@ "FeatureGroupArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:feature-group/.*" }, "FeatureGroupMaxResults":{ "type":"integer", + "box":true, "max":100, "min":1 }, @@ -20439,7 +20634,7 @@ "type":"string", "max":64, "min":1, - "pattern":"^[a-zA-Z0-9]([_-]*[a-zA-Z0-9]){0,63}" + "pattern":"[a-zA-Z0-9]([_-]*[a-zA-Z0-9]){0,63}" }, "FeatureGroupNameContains":{ "type":"string", @@ -20555,7 +20750,7 @@ "type":"string", "max":64, "min":1, - "pattern":"^[a-zA-Z0-9]([-_]*[a-zA-Z0-9]){0,63}" + "pattern":"[a-zA-Z0-9]([-_]*[a-zA-Z0-9]){0,63}" }, "FeatureParameter":{ "type":"structure", @@ -20574,24 +20769,26 @@ "FeatureParameterAdditions":{ "type":"list", "member":{"shape":"FeatureParameter"}, - "max":25 + "max":25, + "min":0 }, "FeatureParameterKey":{ "type":"string", "max":255, "min":1, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-]*)$" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:/=+\\-]*)" }, "FeatureParameterRemovals":{ "type":"list", "member":{"shape":"FeatureParameterKey"}, - "max":25 + "max":25, + "min":0 }, "FeatureParameterValue":{ "type":"string", "max":255, "min":1, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-]*)$" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:/=+\\-]*)" }, "FeatureParameters":{ "type":"list", @@ -20692,13 +20889,13 @@ "type":"string", "max":21, "min":11, - "pattern":"^(fs-[0-9a-f]{8,})$" + "pattern":"(fs-[0-9a-f]{8,})" }, "FileSystemPath":{ "type":"string", "max":256, "min":1, - "pattern":"^\\/\\S*$" + "pattern":"\\/\\S*" }, "FileSystemType":{ "type":"string", @@ -20718,7 +20915,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9\\_\\-]+$" + "pattern":"[a-zA-Z0-9\\_\\-]+" }, "FillingTransformations":{ "type":"map", @@ -20788,7 +20985,8 @@ }, "Value":{ "shape":"MetricValue", - "documentation":"The value of the metric with the best result.
" + "documentation":"The value of the metric with the best result.
", + "box":true }, "StandardMetricName":{ "shape":"AutoMLMetricEnum", @@ -20814,7 +21012,8 @@ }, "Value":{ "shape":"MetricValue", - "documentation":"The value of the objective metric.
" + "documentation":"The value of the objective metric.
", + "box":true } }, "documentation":"Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
" + "documentation":"Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
", + "box":true }, "IsRequired":{ "shape":"Boolean", - "documentation":"Indicates whether this hyperparameter is required.
" + "documentation":"Indicates whether this hyperparameter is required.
", + "box":true }, "DefaultValue":{ "shape":"HyperParameterValue", @@ -21912,15 +22138,18 @@ }, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
" + "documentation":"Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
", + "box":true }, "EnableInterContainerTrafficEncryption":{ "shape":"Boolean", - "documentation":"To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
A Boolean indicating whether managed spot training is enabled (True) or not (False).
The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.
The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
" + "documentation":"The volume size in GB of the data to be processed for hyperparameter optimization (optional).
", + "box":true } }, "documentation":"The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).
" @@ -22063,6 +22297,7 @@ "HyperParameterTuningJobArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:hyper-parameter-tuning-job/.*" }, "HyperParameterTuningJobCompletionDetails":{ @@ -22070,7 +22305,8 @@ "members":{ "NumberOfTrainingJobsObjectiveNotImproving":{ "shape":"Integer", - "documentation":"The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model performance evaluated against an objective function.
" + "documentation":"The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model performance evaluated against an objective function.
", + "box":true }, "ConvergenceDetectedTime":{ "shape":"Timestamp", @@ -22126,7 +22362,8 @@ "members":{ "RuntimeInSeconds":{ "shape":"Integer", - "documentation":"The wall clock runtime in seconds used by your hyperparameter tuning job.
" + "documentation":"The wall clock runtime in seconds used by your hyperparameter tuning job.
", + "box":true } }, "documentation":"The total resources consumed by your hyperparameter tuning job.
" @@ -22135,7 +22372,7 @@ "type":"string", "max":32, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}" }, "HyperParameterTuningJobObjective":{ "type":"structure", @@ -22349,6 +22586,7 @@ }, "HyperParameterTuningMaxRuntimeInSeconds":{ "type":"integer", + "box":true, "max":15768000, "min":120 }, @@ -22361,11 +22599,13 @@ }, "InstanceCount":{ "shape":"TrainingInstanceCount", - "documentation":"The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.
The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.
The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.
Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.
SageMaker supports only the General Purpose SSD (gp2) storage volume type.
The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.
Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.
SageMaker supports only the General Purpose SSD (gp2) storage volume type.
The expected maximum number of requests per minute for the instance.
" + "documentation":"The expected maximum number of requests per minute for the instance.
", + "box":true }, "ModelLatency":{ "shape":"Integer", - "documentation":"The expected model latency at maximum invocations per minute for the instance.
" + "documentation":"The expected model latency at maximum invocations per minute for the instance.
", + "box":true } }, "documentation":"The metrics for an existing endpoint compared in an Inference Recommender job.
" @@ -23492,7 +23754,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "InfraCheckConfig":{ "type":"structure", @@ -23506,14 +23768,17 @@ }, "InitialInstanceCount":{ "type":"integer", + "box":true, "min":1 }, "InitialNumberOfUsers":{ "type":"integer", + "box":true, "min":1 }, "InitialTaskCount":{ "type":"integer", + "box":true, "min":1 }, "InputConfig":{ @@ -23562,6 +23827,7 @@ }, "InstanceCount":{ "type":"integer", + "box":true, "min":1 }, "InstanceGroup":{ @@ -23578,7 +23844,8 @@ }, "InstanceCount":{ "shape":"TrainingInstanceCount", - "documentation":"Specifies the number of instances of the instance group.
" + "documentation":"Specifies the number of instances of the instance group.
", + "box":true }, "InstanceGroupName":{ "shape":"InstanceGroupName", @@ -23596,7 +23863,8 @@ "InstanceGroupNames":{ "type":"list", "member":{"shape":"InstanceGroupName"}, - "max":5 + "max":5, + "min":0 }, "InstanceGroupStatus":{ "type":"string", @@ -23618,7 +23886,8 @@ "InstanceGroups":{ "type":"list", "member":{"shape":"InstanceGroup"}, - "max":5 + "max":5, + "min":0 }, "InstanceMetadataServiceConfiguration":{ "type":"structure", @@ -23864,17 +24133,19 @@ "InvocationStartTime":{"type":"timestamp"}, "InvocationsMaxRetries":{ "type":"integer", + "box":true, "max":3, "min":0 }, "InvocationsTimeoutInSeconds":{ "type":"integer", + "box":true, "max":3600, "min":1 }, "IotRoleAlias":{ "type":"string", - "pattern":"^arn:aws[a-z\\-]*:iam::\\d{12}:rolealias/?[a-zA-Z_0-9+=,.@\\-_/]+$" + "pattern":"arn:aws[a-z\\-]*:iam::\\d{12}:rolealias/?[a-zA-Z_0-9+=,.@\\-_/]+" }, "IsTrackingServerActive":{ "type":"string", @@ -23890,6 +24161,7 @@ }, "JobDurationInSeconds":{ "type":"integer", + "box":true, "min":1 }, "JobReferenceCode":{ @@ -23922,7 +24194,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*" }, "JsonContentTypes":{ "type":"list", @@ -23994,7 +24266,8 @@ }, "KeepAlivePeriodInSeconds":{ "type":"integer", - "documentation":"Optional. Customer requested period in seconds for which the Training cluster is kept alive after the job is finished.", + "documentation":"Optional. Customer requested period in seconds for which the Training cluster is kept alive after the job is finished.
", + "box":true, "max":3600, "min":0 }, @@ -24010,7 +24283,8 @@ }, "KernelDisplayName":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "KernelGatewayAppSettings":{ "type":"structure", @@ -24047,7 +24321,8 @@ }, "KernelName":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "KernelSpec":{ "type":"structure", @@ -24079,13 +24354,14 @@ "KmsKeyId":{ "type":"string", "max":2048, - "pattern":"^[a-zA-Z0-9:/_-]*$" + "min":0, + "pattern":"[a-zA-Z0-9:/_-]*" }, "LabelAttributeName":{ "type":"string", "max":127, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,126}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,126}" }, "LabelCounter":{ "type":"integer", @@ -24096,23 +24372,28 @@ "members":{ "TotalLabeled":{ "shape":"LabelCounter", - "documentation":"The total number of objects labeled.
" + "documentation":"The total number of objects labeled.
", + "box":true }, "HumanLabeled":{ "shape":"LabelCounter", - "documentation":"The total number of objects labeled by a human worker.
" + "documentation":"The total number of objects labeled by a human worker.
", + "box":true }, "MachineLabeled":{ "shape":"LabelCounter", - "documentation":"The total number of objects labeled by automated data labeling.
" + "documentation":"The total number of objects labeled by automated data labeling.
", + "box":true }, "FailedNonRetryableError":{ "shape":"LabelCounter", - "documentation":"The total number of objects that could not be labeled due to an error.
" + "documentation":"The total number of objects that could not be labeled due to an error.
", + "box":true }, "Unlabeled":{ "shape":"LabelCounter", - "documentation":"The total number of objects not yet labeled.
" + "documentation":"The total number of objects not yet labeled.
", + "box":true } }, "documentation":"Provides a breakdown of the number of objects labeled.
" @@ -24122,15 +24403,18 @@ "members":{ "HumanLabeled":{ "shape":"LabelCounter", - "documentation":"The total number of data objects labeled by a human worker.
" + "documentation":"The total number of data objects labeled by a human worker.
", + "box":true }, "PendingHuman":{ "shape":"LabelCounter", - "documentation":"The total number of data objects that need to be labeled by a human worker.
" + "documentation":"The total number of data objects that need to be labeled by a human worker.
", + "box":true }, "Total":{ "shape":"LabelCounter", - "documentation":"The total number of tasks in the labeling job.
" + "documentation":"The total number of tasks in the labeling job.
", + "box":true } }, "documentation":"Provides counts for human-labeled tasks in the labeling job.
" @@ -24138,6 +24422,7 @@ "LabelingJobAlgorithmSpecificationArn":{ "type":"string", "max":2048, + "min":0, "pattern":"arn:.*" }, "LabelingJobAlgorithmsConfig":{ @@ -24162,6 +24447,7 @@ "LabelingJobArn":{ "type":"string", "max":2048, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:labeling-job/.*" }, "LabelingJobDataAttributes":{ @@ -24246,7 +24532,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "LabelingJobOutput":{ "type":"structure", @@ -24410,6 +24696,7 @@ "LambdaFunctionArn":{ "type":"string", "max":2048, + "min":0, "pattern":"arn:aws[a-z\\-]*:lambda:[a-z0-9\\-]*:[0-9]{12}:function:.*" }, "LambdaStepMetadata":{ @@ -24428,7 +24715,8 @@ }, "LandingUri":{ "type":"string", - "max":1023 + "max":1023, + "min":0 }, "LastModifiedTime":{"type":"timestamp"}, "LastUpdateStatus":{ @@ -24469,11 +24757,13 @@ "type":"map", "key":{"shape":"StringParameterValue"}, "value":{"shape":"StringParameterValue"}, - "max":30 + "max":30, + "min":0 }, "LineageGroupArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:lineage-group/.*" }, "LineageGroupNameOrArn":{ @@ -25199,8 +25489,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of model compilation jobs to return in the response.
", - "box":true + "documentation":"The maximum number of model compilation jobs to return in the response.
" }, "CreationTimeAfter":{ "shape":"CreationTime", @@ -25910,8 +26199,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The maximum number of tuning jobs to return. The default value is 10.
", - "box":true + "documentation":"The maximum number of tuning jobs to return. The default value is 10.
" }, "SortBy":{ "shape":"HyperParameterTuningJobSortByOptions", @@ -26842,7 +27128,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"List export jobs for the model card with the specified version.
" + "documentation":"List export jobs for the model card with the specified version.
", + "box":true }, "CreationTimeAfter":{ "shape":"Timestamp", @@ -27653,8 +27940,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of optimization jobs to return in the response. The default is 50.
", - "box":true + "documentation":"The maximum number of optimization jobs to return in the response. The default is 50.
" }, "CreationTimeAfter":{ "shape":"CreationTime", @@ -27941,8 +28227,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of processing jobs to return in the response.
", - "box":true + "documentation":"The maximum number of processing jobs to return in the response.
" } } }, @@ -28117,7 +28402,8 @@ }, "ExcludeDevicesDeployedInOtherStage":{ "shape":"Boolean", - "documentation":"Toggle for excluding devices deployed in other stages.
" + "documentation":"Toggle for excluding devices deployed in other stages.
", + "box":true }, "StageName":{ "shape":"EntityName", @@ -28210,8 +28496,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of work teams to return in each page of the response.
", - "box":true + "documentation":"The maximum number of work teams to return in each page of the response.
" } } }, @@ -28249,6 +28534,7 @@ }, "ListTagsMaxResults":{ "type":"integer", + "box":true, "min":50 }, "ListTagsOutput":{ @@ -28317,8 +28603,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of training jobs to return in the response.
", - "box":true + "documentation":"The maximum number of training jobs to return in the response.
" }, "CreationTimeAfter":{ "shape":"Timestamp", @@ -28385,8 +28670,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of results to return in the response.
", - "box":true + "documentation":"The maximum number of results to return in the response.
" }, "StartTimeAfter":{ "shape":"Timestamp", @@ -28465,8 +28749,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of transform jobs to return in the response. The default value is 10.
The maximum number of transform jobs to return in the response. The default value is 10.
The maximum number of workforces returned in the response.
", - "box":true + "documentation":"The maximum number of workforces returned in the response.
" } } }, @@ -28702,8 +28984,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of work teams to return in each page of the response.
", - "box":true + "documentation":"The maximum number of work teams to return in each page of the response.
" } } }, @@ -28733,14 +29014,16 @@ "type":"string", "max":128, "min":1, - "pattern":"^[a-zA-Z]+ ?\\d+\\.\\d+(\\.\\d+)?$" + "pattern":"[a-zA-Z]+ ?\\d+\\.\\d+(\\.\\d+)?" }, "ManagedInstanceScalingMaxInstanceCount":{ "type":"integer", + "box":true, "min":1 }, "ManagedInstanceScalingMinInstanceCount":{ "type":"integer", + "box":true, "min":0 }, "ManagedInstanceScalingStatus":{ @@ -28752,41 +29035,50 @@ }, "MaxAutoMLJobRuntimeInSeconds":{ "type":"integer", + "box":true, "min":1 }, "MaxCandidates":{ "type":"integer", + "box":true, "max":750, "min":1 }, "MaxConcurrentInvocationsPerInstance":{ "type":"integer", + "box":true, "max":1000, "min":1 }, "MaxConcurrentTaskCount":{ "type":"integer", + "box":true, "max":5000, "min":1 }, "MaxConcurrentTransforms":{ "type":"integer", + "box":true, "min":0 }, "MaxHumanLabeledObjectCount":{ "type":"integer", + "box":true, "min":1 }, "MaxNumberOfTests":{ "type":"integer", + "box":true, "min":1 }, "MaxNumberOfTrainingJobs":{ "type":"integer", + "box":true, "min":1 }, "MaxNumberOfTrainingJobsNotImproving":{ "type":"integer", + "box":true, "min":3 }, "MaxParallelExecutionSteps":{ @@ -28795,6 +29087,7 @@ }, "MaxParallelOfTests":{ "type":"integer", + "box":true, "min":1 }, "MaxParallelTrainingJobs":{ @@ -28803,21 +29096,25 @@ }, "MaxPayloadInMB":{ "type":"integer", + "box":true, "min":0 }, "MaxPendingTimeInSeconds":{ "type":"integer", - "documentation":"Maximum job scheduler pending time in seconds.", + "documentation":"Maximum job scheduler pending time in seconds.
", + "box":true, "max":2419200, "min":7200 }, "MaxPercentageOfInputDatasetLabeled":{ "type":"integer", + "box":true, "max":100, "min":1 }, "MaxResults":{ "type":"integer", + "box":true, "max":100, "min":1 }, @@ -28827,14 +29124,17 @@ }, "MaxRuntimePerTrainingJobInSeconds":{ "type":"integer", + "box":true, "min":1 }, "MaxWaitTimeInSeconds":{ "type":"integer", + "box":true, "min":1 }, "MaximumExecutionTimeoutInSeconds":{ "type":"integer", + "box":true, "max":28800, "min":600 }, @@ -28846,7 +29146,8 @@ "MediaType":{ "type":"string", "max":64, - "pattern":"^[-\\w]+\\/[-\\w+]+$" + "min":0, + "pattern":"[-\\w]+\\/[-\\w+]+" }, "MemberDefinition":{ "type":"structure", @@ -28870,6 +29171,7 @@ }, "MemoryInMb":{ "type":"integer", + "box":true, "min":128 }, "MetadataProperties":{ @@ -28897,6 +29199,7 @@ "MetadataPropertyValue":{ "type":"string", "max":1024, + "min":0, "pattern":".*" }, "MetricData":{ @@ -28908,7 +29211,8 @@ }, "Value":{ "shape":"Float", - "documentation":"The value of the metric.
" + "documentation":"The value of the metric.
", + "box":true }, "Timestamp":{ "shape":"Timestamp", @@ -28930,17 +29234,18 @@ "shape":"AutoMLMetricEnum", "documentation":"The name of the metric.
" }, + "StandardMetricName":{ + "shape":"AutoMLMetricExtendedEnum", + "documentation":"The name of the standard metric.
For definitions of the standard metrics, see Autopilot candidate metrics .
The value of the metric.
" + "documentation":"The value of the metric.
", + "box":true }, "Set":{ "shape":"MetricSetSource", "documentation":"The dataset split from which the AutoML job produced the metric.
" - }, - "StandardMetricName":{ - "shape":"AutoMLMetricExtendedEnum", - "documentation":"The name of the standard metric.
For definitions of the standard metrics, see Autopilot candidate metrics .
Information about the metric for a candidate produced by an AutoML job.
" @@ -29030,6 +29335,7 @@ "MinimumInstanceMetadataServiceVersion":{ "type":"string", "max":1, + "min":0, "pattern":"1|2" }, "MlTools":{ @@ -29060,7 +29366,8 @@ "MlflowVersion":{ "type":"string", "max":16, - "pattern":"^[0-9]*.[0-9]*.[0-9]*" + "min":0, + "pattern":"[0-9]*.[0-9]*.[0-9]*" }, "Model":{ "type":"structure", @@ -29090,7 +29397,8 @@ }, "EnableNetworkIsolation":{ "shape":"Boolean", - "documentation":"Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
" + "documentation":"Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
", + "box":true }, "Tags":{ "shape":"TagList", @@ -29109,7 +29417,8 @@ "members":{ "AcceptEula":{ "shape":"AcceptEula", - "documentation":"Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The access configuration file to control access to the ML model. You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig.
If you are a Jumpstart user, see the End-user license agreements section for more details on accepting the EULA.
If you are an AutoML user, see the Optional Parameters section of Create an AutoML job to fine-tune text generation models using the API for details on How to set the EULA acceptance when fine-tuning a model using the AutoML API.
The version of the model card.
" + "documentation":"The version of the model card.
", + "box":true }, "Content":{ "shape":"ModelCardContent", @@ -29254,7 +29564,8 @@ "ModelCardArn":{ "type":"string", "max":256, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "ModelCardContent":{ "type":"string", @@ -29277,11 +29588,12 @@ "ModelCardExportJobArn":{ "type":"string", "max":256, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}/export-job/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}/export-job/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "ModelCardExportJobSortBy":{ "type":"string", - "documentation":"Attribute by which to sort returned export jobs.", + "documentation":"Attribute by which to sort returned export jobs.
", "enum":[ "Name", "CreationTime", @@ -29333,7 +29645,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"The version of the model card that the export job exports.
" + "documentation":"The version of the model card that the export job exports.
", + "box":true }, "CreatedAt":{ "shape":"Timestamp", @@ -29475,7 +29788,8 @@ }, "ModelCardVersion":{ "shape":"Integer", - "documentation":"A version of the model card.
" + "documentation":"A version of the model card.
", + "box":true }, "CreationTime":{ "shape":"Timestamp", @@ -29587,7 +29901,8 @@ "members":{ "Enabled":{ "shape":"Boolean", - "documentation":"Indicates whether the alert action is turned on.
" + "documentation":"Indicates whether the alert action is turned on.
", + "box":true } }, "documentation":"An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into InAlert status.
The model card version.
" + "documentation":"The model card version.
", + "box":true }, "ModelCardStatus":{ "shape":"ModelCardStatus", @@ -29741,7 +30057,8 @@ "members":{ "AutoGenerateEndpointName":{ "shape":"AutoGenerateEndpointName", - "documentation":"Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.
If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.
Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.
If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.
The model latency percentile value in milliseconds.
" + "documentation":"The model latency percentile value in milliseconds.
", + "box":true } }, "documentation":"The model latency threshold.
" @@ -29998,11 +30316,13 @@ "ModelName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9]([\\-a-zA-Z0-9]*[a-zA-Z0-9])?" + "min":0, + "pattern":"[a-zA-Z0-9]([\\-a-zA-Z0-9]*[a-zA-Z0-9])?" }, "ModelNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "ModelPackage":{ @@ -30054,7 +30374,8 @@ }, "CertifyForMarketplace":{ "shape":"CertifyForMarketplace", - "documentation":"Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
" + "documentation":"Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
", + "box":true }, "ModelApprovalStatus":{ "shape":"ModelApprovalStatus", @@ -30133,7 +30454,7 @@ "type":"string", "max":2048, "min":1, - "pattern":"^arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-package/[\\S]{1,2048}$" + "pattern":"arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-package/[\\S]{1,2048}" }, "ModelPackageArnList":{ "type":"list", @@ -30247,7 +30568,7 @@ "type":"string", "max":2048, "min":1, - "pattern":"^arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-package-group/[\\S]{1,2048}$" + "pattern":"arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:model-package-group/[\\S]{1,2048}" }, "ModelPackageGroupSortBy":{ "type":"string", @@ -30497,6 +30818,7 @@ }, "ModelPackageVersion":{ "type":"integer", + "box":true, "min":1 }, "ModelQuality":{ @@ -30605,6 +30927,7 @@ }, "ModelSetupTime":{ "type":"integer", + "box":true, "min":0 }, "ModelShardingConfig":{ @@ -30744,7 +31067,8 @@ "ModelVariantName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9]([\\-a-zA-Z0-9]*[a-zA-Z0-9])?" + "min":0, + "pattern":"[a-zA-Z0-9]([\\-a-zA-Z0-9]*[a-zA-Z0-9])?" }, "ModelVariantStatus":{ "type":"string", @@ -30809,7 +31133,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "MonitoringAlertStatus":{ "type":"string", @@ -30960,13 +31284,15 @@ "members":{ "Header":{ "shape":"Boolean", - "documentation":"Indicates if the CSV data has a header.
" + "documentation":"Indicates if the CSV data has a header.
", + "box":true } }, "documentation":"Represents the CSV dataset format used when running a monitoring job.
" }, "MonitoringDatapointsToAlert":{ "type":"integer", + "box":true, "max":100, "min":1 }, @@ -30992,10 +31318,12 @@ "type":"map", "key":{"shape":"ProcessingEnvironmentKey"}, "value":{"shape":"ProcessingEnvironmentValue"}, - "max":50 + "max":50, + "min":0 }, "MonitoringEvaluationPeriod":{ "type":"integer", + "box":true, "max":100, "min":1 }, @@ -31146,13 +31474,14 @@ "MonitoringJobDefinitionArn":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "MonitoringJobDefinitionName":{ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "MonitoringJobDefinitionSortKey":{ "type":"string", @@ -31198,7 +31527,8 @@ "members":{ "Line":{ "shape":"Boolean", - "documentation":"Indicates if the file should be read as a JSON object per line.
" + "documentation":"Indicates if the file should be read as a JSON object per line.
", + "box":true } }, "documentation":"Represents the JSON dataset format used when running a monitoring job.
" @@ -31213,11 +31543,13 @@ "members":{ "EnableInterContainerTrafficEncryption":{ "shape":"Boolean", - "documentation":"Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.
Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
" + "documentation":"Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
", + "box":true }, "VpcConfig":{"shape":"VpcConfig"} }, @@ -31257,7 +31589,8 @@ }, "MonitoringParquetDatasetFormat":{ "type":"structure", - "members":{}, + "members":{ + }, "documentation":"Represents the Parquet dataset format used when running a monitoring job.
" }, "MonitoringProblemType":{ @@ -31304,7 +31637,8 @@ "MonitoringS3Uri":{ "type":"string", "max":512, - "pattern":"^(https|s3)://([^/]+)/?(.*)$" + "min":0, + "pattern":"(https|s3)://([^/]+)/?(.*)" }, "MonitoringSchedule":{ "type":"structure", @@ -31353,6 +31687,7 @@ "MonitoringScheduleArn":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "MonitoringScheduleConfig":{ @@ -31385,7 +31720,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "MonitoringScheduleSortKey":{ "type":"string", @@ -31460,7 +31795,8 @@ "members":{ "MaxRuntimeInSeconds":{ "shape":"MonitoringMaxRuntimeInSeconds", - "documentation":"The maximum runtime allowed in seconds.
The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.
The maximum runtime allowed in seconds.
The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.
A time limit for how long the monitoring job is allowed to run before stopping.
" @@ -31469,7 +31805,7 @@ "type":"string", "max":15, "min":1, - "pattern":"^.?P.*" + "pattern":".?P.*" }, "MonitoringType":{ "type":"string", @@ -31483,7 +31819,8 @@ "MountPath":{ "type":"string", "max":1024, - "pattern":"^\\/.*" + "min":0, + "pattern":"\\/.*" }, "MultiModelConfig":{ "type":"structure", @@ -31498,6 +31835,7 @@ "NameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9\\-]+" }, "NeoVpcConfig":{ @@ -31521,6 +31859,7 @@ "NeoVpcSecurityGroupId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "NeoVpcSecurityGroupIds":{ @@ -31532,6 +31871,7 @@ "NeoVpcSubnetId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "NeoVpcSubnets":{ @@ -31569,11 +31909,13 @@ "members":{ "EnableInterContainerTrafficEncryption":{ "shape":"Boolean", - "documentation":"Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
" + "documentation":"Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
", + "box":true }, "VpcConfig":{"shape":"VpcConfig"} }, @@ -31583,6 +31925,7 @@ "NextToken":{ "type":"string", "max":8192, + "min":0, "pattern":".*" }, "NodeUnavailabilityType":{ @@ -31594,17 +31937,20 @@ }, "NodeUnavailabilityValue":{ "type":"integer", + "box":true, "min":1 }, "NonEmptyString256":{ "type":"string", "max":256, - "pattern":"^(?!\\s*$).+" + "min":0, + "pattern":"(?!\\s*$).+" }, "NonEmptyString64":{ "type":"string", "max":64, - "pattern":"^(?!\\s*$).+" + "min":0, + "pattern":"(?!\\s*$).+" }, "NotebookInstanceAcceleratorType":{ "type":"string", @@ -31623,11 +31969,13 @@ }, "NotebookInstanceArn":{ "type":"string", - "max":256 + "max":256, + "min":0 }, "NotebookInstanceLifecycleConfigArn":{ "type":"string", - "max":256 + "max":256, + "min":0 }, "NotebookInstanceLifecycleConfigContent":{ "type":"string", @@ -31638,16 +31986,19 @@ "NotebookInstanceLifecycleConfigList":{ "type":"list", "member":{"shape":"NotebookInstanceLifecycleHook"}, - "max":1 + "max":1, + "min":0 }, "NotebookInstanceLifecycleConfigName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "NotebookInstanceLifecycleConfigNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "NotebookInstanceLifecycleConfigSortKey":{ @@ -31708,11 +32059,13 @@ "NotebookInstanceName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "NotebookInstanceNameContains":{ "type":"string", "max":63, + "min":0, "pattern":"[a-zA-Z0-9-]+" }, "NotebookInstanceSortKey":{ @@ -31799,6 +32152,7 @@ "NotebookInstanceUrl":{"type":"string"}, "NotebookInstanceVolumeSizeInGB":{ "type":"integer", + "box":true, "max":16384, "min":5 }, @@ -31825,19 +32179,23 @@ }, "NumberOfAcceleratorDevices":{ "type":"float", + "box":true, "min":1 }, "NumberOfCpuCores":{ "type":"float", + "box":true, "min":0.25 }, "NumberOfHumanWorkersPerDataObject":{ "type":"integer", + "box":true, "max":9, "min":1 }, "NumberOfSteps":{ "type":"integer", + "box":true, "min":1 }, "ObjectiveStatus":{ @@ -31857,15 +32215,18 @@ "members":{ "Succeeded":{ "shape":"ObjectiveStatusCounter", - "documentation":"The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
" + "documentation":"The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
", + "box":true }, "Pending":{ "shape":"ObjectiveStatusCounter", - "documentation":"The number of training jobs that are in progress and pending evaluation of their final objective metric.
" + "documentation":"The number of training jobs that are in progress and pending evaluation of their final objective metric.
", + "box":true }, "Failed":{ "shape":"ObjectiveStatusCounter", - "documentation":"The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
" + "documentation":"The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
", + "box":true } }, "documentation":"Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
" @@ -31880,7 +32241,8 @@ }, "DisableGlueTableCreation":{ "shape":"Boolean", - "documentation":"Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore. If set to False, Feature Store will name the OfflineStore Glue table following Athena's naming recommendations.
The default value is False.
Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore. If set to False, Feature Store will name the OfflineStore Glue table following Athena's naming recommendations.
The default value is False.
Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.
The default value is False.
Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.
The default value is False.
The security configuration for OnlineStore.
Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The access configuration settings for the source ML model for an optimization job, where you can accept the model end-user license agreement (EULA).
" @@ -32324,6 +32696,7 @@ "OptimizationVpcSecurityGroupId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "OptimizationVpcSecurityGroupIds":{ @@ -32335,6 +32708,7 @@ "OptimizationVpcSubnetId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "OptimizationVpcSubnets":{ @@ -32343,8 +32717,14 @@ "max":16, "min":1 }, - "OptionalDouble":{"type":"double"}, - "OptionalInteger":{"type":"integer"}, + "OptionalDouble":{ + "type":"double", + "box":true + }, + "OptionalInteger":{ + "type":"integer", + "box":true + }, "OptionalVolumeSizeInGB":{ "type":"integer", "min":0 @@ -32457,6 +32837,7 @@ "PaginationToken":{ "type":"string", "max":8192, + "min":0, "pattern":".*" }, "ParallelismConfiguration":{ @@ -32465,7 +32846,8 @@ "members":{ "MaxParallelExecutionSteps":{ "shape":"MaxParallelExecutionSteps", - "documentation":"The max number of steps that can be executed in parallel.
" + "documentation":"The max number of steps that can be executed in parallel.
", + "box":true } }, "documentation":"Configuration that controls the parallelism of the pipeline. By default, the parallelism configuration specified applies to all executions of the pipeline unless overridden.
" @@ -32491,6 +32873,7 @@ "ParameterKey":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ParameterList":{ @@ -32502,6 +32885,7 @@ "ParameterName":{ "type":"string", "max":256, + "min":0, "pattern":"[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*" }, "ParameterRange":{ @@ -32556,6 +32940,7 @@ "ParameterValue":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "ParameterValues":{ @@ -32615,7 +33000,7 @@ "type":"string", "max":128, "min":1, - "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:partner-app\\/app-[A-Z0-9]{12}$" + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:partner-app\\/app-[A-Z0-9]{12}" }, "PartnerAppAuthType":{ "type":"string", @@ -32649,7 +33034,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9]+" + "pattern":"[a-zA-Z0-9]+" }, "PartnerAppStatus":{ "type":"string", @@ -32871,6 +33256,7 @@ "PipelineArn":{ "type":"string", "max":2048, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:pipeline/.*" }, "PipelineDefinition":{ @@ -32963,7 +33349,8 @@ "PipelineExecutionArn":{ "type":"string", "max":2048, - "pattern":"^arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:pipeline\\/.*\\/execution\\/.*$" + "min":0, + "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:pipeline\\/.*\\/execution\\/.*" }, "PipelineExecutionDescription":{ "type":"string", @@ -32974,13 +33361,14 @@ "PipelineExecutionFailureReason":{ "type":"string", "max":1300, + "min":0, "pattern":".*" }, "PipelineExecutionName":{ "type":"string", "max":82, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,81}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,81}" }, "PipelineExecutionStatus":{ "type":"string", @@ -33033,7 +33421,8 @@ }, "AttemptCount":{ "shape":"Integer", - "documentation":"The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.
" + "documentation":"The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.
", + "box":true }, "SelectiveExecutionResult":{ "shape":"SelectiveExecutionResult", @@ -33172,7 +33561,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,255}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,255}" }, "PipelineNameOrArn":{ "type":"string", @@ -33184,7 +33573,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[A-Za-z0-9\\-_]*$" + "pattern":"[A-Za-z0-9\\-_]*" }, "PipelineStatus":{ "type":"string", @@ -33240,7 +33629,8 @@ "PlatformIdentifier":{ "type":"string", "max":15, - "pattern":"^(notebook-al1-v1|notebook-al2-v1|notebook-al2-v2|notebook-al2-v3)$" + "min":0, + "pattern":"(notebook-al1-v1|notebook-al2-v1|notebook-al2-v2|notebook-al2-v3)" }, "PolicyString":{ "type":"string", @@ -33292,10 +33682,14 @@ }, "PriorityWeight":{ "type":"integer", + "box":true, "max":100, "min":0 }, - "ProbabilityThresholdAttribute":{"type":"double"}, + "ProbabilityThresholdAttribute":{ + "type":"double", + "box":true + }, "ProblemType":{ "type":"string", "enum":[ @@ -33334,17 +33728,20 @@ "ProcessingEnvironmentKey":{ "type":"string", "max":256, + "min":0, "pattern":"[a-zA-Z_][a-zA-Z0-9_]*" }, "ProcessingEnvironmentMap":{ "type":"map", "key":{"shape":"ProcessingEnvironmentKey"}, "value":{"shape":"ProcessingEnvironmentValue"}, - "max":100 + "max":100, + "min":0 }, "ProcessingEnvironmentValue":{ "type":"string", "max":256, + "min":0, "pattern":"[\\S\\s]*" }, "ProcessingFeatureStoreOutput":{ @@ -33368,7 +33765,8 @@ }, "AppManaged":{ "shape":"AppManaged", - "documentation":"When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
Describes the results of a processing job. The processing output must specify exactly one of either S3Output or FeatureStoreOutput types.
Specifies the maximum runtime in seconds.
" + "documentation":"Specifies the maximum runtime in seconds.
", + "box":true } }, "documentation":"Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.
" }, "ProcessingVolumeSizeInGB":{ "type":"integer", + "box":true, "max":16384, "min":1 }, @@ -33827,7 +34231,8 @@ "ProductId":{ "type":"string", "max":256, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*$" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "ProductListings":{ "type":"list", @@ -33913,6 +34318,7 @@ }, "ProductionVariantContainerStartupHealthCheckTimeoutInSeconds":{ "type":"integer", + "box":true, "max":3600, "min":60 }, @@ -34195,6 +34601,7 @@ }, "ProductionVariantModelDataDownloadTimeoutInSeconds":{ "type":"integer", + "box":true, "max":3600, "min":60 }, @@ -34209,7 +34616,10 @@ }, "documentation":"Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
" }, - "ProductionVariantSSMAccess":{"type":"boolean"}, + "ProductionVariantSSMAccess":{ + "type":"boolean", + "box":true + }, "ProductionVariantServerlessConfig":{ "type":"structure", "required":[ @@ -34329,6 +34739,7 @@ }, "ProductionVariantVolumeSizeInGB":{ "type":"integer", + "box":true, "max":512, "min":1 }, @@ -34349,7 +34760,8 @@ }, "DisableProfiler":{ "shape":"DisableProfiler", - "documentation":"Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to True.
Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to True.
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
" @@ -34371,7 +34783,8 @@ }, "DisableProfiler":{ "shape":"DisableProfiler", - "documentation":"To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.
Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics configurations, and storage paths.
" @@ -34405,7 +34818,8 @@ }, "VolumeSizeInGB":{ "shape":"OptionalVolumeSizeInGB", - "documentation":"The size, in GB, of the ML storage volume attached to the processing instance.
" + "documentation":"The size, in GB, of the ML storage volume attached to the processing instance.
", + "box":true }, "RuleParameters":{ "shape":"RuleParameters", @@ -34452,7 +34866,10 @@ "max":20, "min":0 }, - "ProfilingIntervalInMilliseconds":{"type":"long"}, + "ProfilingIntervalInMilliseconds":{ + "type":"long", + "box":true + }, "ProfilingParameters":{ "type":"map", "key":{"shape":"ConfigKey"}, @@ -34471,7 +34888,7 @@ "type":"string", "max":128, "min":1, - "pattern":"^[a-zA-Z]+ ?\\d+\\.\\d+(\\.\\d+)?$" + "pattern":"[a-zA-Z]+ ?\\d+\\.\\d+(\\.\\d+)?" }, "Project":{ "type":"structure", @@ -34522,19 +34939,19 @@ "type":"string", "max":2048, "min":1, - "pattern":"^arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:project/[\\S]{1,2048}$" + "pattern":"arn:aws(-cn|-us-gov|-iso-f)?:sagemaker:[a-z0-9\\-]{9,16}:[0-9]{12}:project/[\\S]{1,2048}" }, "ProjectEntityName":{ "type":"string", "max":32, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}" }, "ProjectId":{ "type":"string", "max":20, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9])*" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9])*" }, "ProjectSortBy":{ "type":"string", @@ -34664,6 +35081,7 @@ "ProvisioningParameterValue":{ "type":"string", "max":4096, + "min":0, "pattern":".*" }, "ProvisioningParameters":{ @@ -34709,7 +35127,7 @@ }, "QProfileArn":{ "type":"string", - "pattern":"^arn:[-.a-z0-9]{1,63}:codewhisperer:([-.a-z0-9]{0,63}:){2}([a-zA-Z0-9-_:/]){1,1023}$" + "pattern":"arn:[-.a-z0-9]{1,63}:codewhisperer:([-.a-z0-9]{0,63}:){2}([a-zA-Z0-9-_:/]){1,1023}" }, "QualityCheckStepMetadata":{ "type":"structure", @@ -34748,11 +35166,13 @@ }, "SkipCheck":{ "shape":"Boolean", - "documentation":"This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.
Container for the metadata for a Quality check step. For more information, see the topic on QualityCheck step in the Amazon SageMaker Developer Guide.
" @@ -34793,10 +35213,12 @@ }, "QueryLineageMaxDepth":{ "type":"integer", + "box":true, "max":10 }, "QueryLineageMaxResults":{ "type":"integer", + "box":true, "max":50 }, "QueryLineageRequest":{ @@ -34812,7 +35234,8 @@ }, "IncludeEdges":{ "shape":"Boolean", - "documentation":" Setting this value to True retrieves not only the entities of interest but also the Associations and lineage entities on the path. Set to False to only return lineage entities that match your query.
Setting this value to True retrieves not only the entities of interest but also the Associations and lineage entities on the path. Set to False to only return lineage entities that match your query.
The maximum number of requests per minute expected for the endpoint.
" + "documentation":"The maximum number of requests per minute expected for the endpoint.
", + "box":true }, "ModelLatencyThresholds":{ "shape":"ModelLatencyThresholds", @@ -35239,6 +35669,7 @@ "RecommendationJobSupportedContentType":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "RecommendationJobSupportedContentTypes":{ @@ -35259,7 +35690,8 @@ "RecommendationJobSupportedResponseMIMEType":{ "type":"string", "max":1024, - "pattern":"^[-\\w]+\\/.+$" + "min":0, + "pattern":"[-\\w]+\\/.+" }, "RecommendationJobSupportedResponseMIMETypes":{ "type":"list", @@ -35293,6 +35725,7 @@ "RecommendationJobVpcSecurityGroupId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "RecommendationJobVpcSecurityGroupIds":{ @@ -35304,6 +35737,7 @@ "RecommendationJobVpcSubnetId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "RecommendationJobVpcSubnets":{ @@ -35317,19 +35751,23 @@ "members":{ "CostPerHour":{ "shape":"Float", - "documentation":"Defines the cost per hour for the instance.
" + "documentation":"Defines the cost per hour for the instance.
", + "box":true }, "CostPerInference":{ "shape":"Float", - "documentation":"Defines the cost per inference for the instance .
" + "documentation":"Defines the cost per inference for the instance .
", + "box":true }, "MaxInvocations":{ "shape":"Integer", - "documentation":"The expected maximum number of requests per minute for the instance.
" + "documentation":"The expected maximum number of requests per minute for the instance.
", + "box":true }, "ModelLatency":{ "shape":"Integer", - "documentation":"The expected model latency at maximum invocation per minute for the instance.
" + "documentation":"The expected model latency at maximum invocation per minute for the instance.
", + "box":true }, "CpuUtilization":{ "shape":"UtilizationMetric", @@ -35450,7 +35888,7 @@ "type":"string", "max":14, "min":5, - "pattern":"^\\d{1,4}.\\d{1,4}.\\d{1,4}$" + "pattern":"\\d{1,4}.\\d{1,4}.\\d{1,4}" }, "RegionName":{ "type":"string", @@ -35623,7 +36061,8 @@ "RepositoryUrl":{ "type":"string", "max":1024, - "pattern":"^https://([.\\-_a-zA-Z0-9]+/?){3,1016}$" + "min":0, + "pattern":"https://([.\\-_a-zA-Z0-9]+/?){3,1016}" }, "ReservedCapacityArn":{ "type":"string", @@ -35633,11 +36072,13 @@ }, "ReservedCapacityDurationHours":{ "type":"long", + "box":true, "max":87600, "min":0 }, "ReservedCapacityDurationMinutes":{ "type":"long", + "box":true, "max":59, "min":0 }, @@ -35670,7 +36111,8 @@ }, "InstanceCount":{ "shape":"ReservedCapacityInstanceCount", - "documentation":"The number of instances in the reserved capacity offering.
" + "documentation":"The number of instances in the reserved capacity offering.
", + "box":true }, "AvailabilityZone":{ "shape":"AvailabilityZone", @@ -35780,6 +36222,7 @@ "ResourceArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z-]*:sagemaker:[a-z0-9-]*:[0-9]{12}:.+" }, "ResourceCatalog":{ @@ -35813,11 +36256,13 @@ "ResourceCatalogArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:sagemaker-catalog/.*" }, "ResourceCatalogDescription":{ "type":"string", - "max":256 + "max":256, + "min":0 }, "ResourceCatalogList":{ "type":"list", @@ -35849,11 +36294,13 @@ }, "InstanceCount":{ "shape":"TrainingInstanceCount", - "documentation":"The number of ML compute instances to use. For distributed training, provide a value greater than 1.
" + "documentation":"The number of ML compute instances to use. For distributed training, provide a value greater than 1.
", + "box":true }, "VolumeSizeInGB":{ "shape":"VolumeSizeInGB", - "documentation":"The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.
When using an ML instance with NVMe SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance's storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.
When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.
To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.
To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.
" + "documentation":"The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.
When using an ML instance with NVMe SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance's storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.
When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.
To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.
To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.
", + "box":true }, "VolumeKmsKeyId":{ "shape":"KmsKeyId", @@ -35887,7 +36334,8 @@ }, "ResourceId":{ "type":"string", - "max":32 + "max":32, + "min":0 }, "ResourceInUse":{ "type":"structure", @@ -35915,7 +36363,8 @@ }, "MaxParallelTrainingJobs":{ "shape":"MaxParallelTrainingJobs", - "documentation":"The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
" + "documentation":"The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
", + "box":true }, "MaxRuntimeInSeconds":{ "shape":"HyperParameterTuningMaxRuntimeInSeconds", @@ -35935,6 +36384,7 @@ "ResourcePolicyString":{ "type":"string", "max":20480, + "min":0, "pattern":".*(?:[ \\r\\n\\t].*)*" }, "ResourcePropertyName":{ @@ -35945,7 +36395,8 @@ }, "ResourceRetainedBillableTimeInSeconds":{ "type":"integer", - "documentation":"Optional. Indicates how many seconds the resource stayed in ResourceRetained state. Populated only after resource reaches ResourceReused or ResourceReleased state.", + "documentation":"Optional. Indicates how many seconds the resource stayed in ResourceRetained state. Populated only after resource reaches ResourceReused or ResourceReleased state.
", + "box":true, "min":0 }, "ResourceSharingConfig":{ @@ -36022,7 +36473,8 @@ "ResponseMIMEType":{ "type":"string", "max":1024, - "pattern":"^[-\\w]+\\/.+$" + "min":0, + "pattern":"[-\\w]+\\/.+" }, "ResponseMIMETypes":{ "type":"list", @@ -36082,7 +36534,8 @@ "members":{ "MaximumRetryAttempts":{ "shape":"MaximumRetryAttempts", - "documentation":"The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.
The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.
The retry strategy to use when a training job fails due to an InternalServerError. RetryStrategy is specified as part of the CreateTrainingJob and CreateHyperParameterTuningJob requests. You can add the StoppingCondition parameter to the request to limit the training time for the complete job.
The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant. 1/numberOfInstances is sent as the value on each request, where numberOfInstances is the number of active instances for the ProductionVariant behind the endpoint at the time of the request.
The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant. 1/numberOfInstances is sent as the value on each request, where numberOfInstances is the number of active instances for the ProductionVariant behind the endpoint at the time of the request.
The interval of time taken by a model to respond as viewed from SageMaker. This interval includes the local communication times taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
" + "documentation":"The interval of time taken by a model to respond as viewed from SageMaker. This interval includes the local communication times taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
", + "box":true } }, "documentation":"The metric for a scaling policy.
" @@ -36399,11 +36859,13 @@ "members":{ "MinInvocationsPerMinute":{ "shape":"Integer", - "documentation":"The minimum number of expected requests to your endpoint per minute.
" + "documentation":"The minimum number of expected requests to your endpoint per minute.
", + "box":true }, "MaxInvocationsPerMinute":{ "shape":"Integer", - "documentation":"The maximum number of expected requests to your endpoint per minute.
" + "documentation":"The maximum number of expected requests to your endpoint per minute.
", + "box":true } }, "documentation":"An object where you specify the anticipated traffic pattern for an endpoint.
" @@ -36490,7 +36952,8 @@ "Scope":{ "type":"string", "max":1024, - "pattern":"^[!#-\\[\\]-~]+( [!#-\\[\\]-~]+)*$" + "min":0, + "pattern":"[!#-\\[\\]-~]+( [!#-\\[\\]-~]+)*" }, "SearchExpression":{ "type":"structure", @@ -36591,8 +37054,7 @@ }, "MaxResults":{ "shape":"MaxResults", - "documentation":"The maximum number of results to return.
", - "box":true + "documentation":"The maximum number of results to return.
" }, "CrossAccountFilterOption":{ "shape":"CrossAccountFilterOption", @@ -36645,7 +37107,8 @@ }, "InstanceCount":{ "shape":"ReservedCapacityInstanceCount", - "documentation":"The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.
" + "documentation":"The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.
", + "box":true }, "StartTimeAfter":{ "shape":"Timestamp", @@ -36736,12 +37199,14 @@ "SecurityGroupId":{ "type":"string", "max":32, + "min":0, "pattern":"[-0-9a-zA-Z]+" }, "SecurityGroupIds":{ "type":"list", "member":{"shape":"SecurityGroupId"}, - "max":5 + "max":5, + "min":0 }, "Seed":{"type":"long"}, "SelectedStep":{ @@ -36844,16 +37309,19 @@ }, "ServerlessMaxConcurrency":{ "type":"integer", + "box":true, "max":200, "min":1 }, "ServerlessMemorySizeInMB":{ "type":"integer", + "box":true, "max":6144, "min":1024 }, "ServerlessProvisionedConcurrency":{ "type":"integer", + "box":true, "max":200, "min":1 }, @@ -36861,7 +37329,7 @@ "type":"string", "max":100, "min":1, - "pattern":"^[a-zA-Z0-9_\\-]*" + "pattern":"[a-zA-Z0-9_\\-]*" }, "ServiceCatalogProvisionedProductDetails":{ "type":"structure", @@ -36926,6 +37394,7 @@ }, "SessionExpirationDurationInSeconds":{ "type":"integer", + "box":true, "max":43200, "min":1800 }, @@ -36960,7 +37429,8 @@ }, "SamplingPercentage":{ "shape":"Percentage", - "documentation":"The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.
" + "documentation":"The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.
", + "box":true } }, "documentation":"The name and sampling percentage of a shadow variant.
" @@ -37002,14 +37472,15 @@ "members":{ "Seed":{ "shape":"Seed", - "documentation":"Determines the shuffling order in ShuffleConfig value.
Determines the shuffling order in ShuffleConfig value.
A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.
The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.
The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.
Generates possible candidates without training the models. A model candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
" + "documentation":"Generates possible candidates without training the models. A model candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
", + "box":true }, "ProblemType":{ "shape":"ProblemType", @@ -38144,7 +38637,7 @@ "type":"string", "max":128, "min":1, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)" }, "TagKeyList":{ "type":"list", @@ -38169,7 +38662,7 @@ "type":"string", "max":256, "min":0, - "pattern":"^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$" + "pattern":"([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)" }, "TargetAttributeName":{ "type":"string", @@ -38222,7 +38715,10 @@ "max":256, "min":1 }, - "TargetObjectiveMetricValue":{"type":"float"}, + "TargetObjectiveMetricValue":{ + "type":"float", + "box":true + }, "TargetPlatform":{ "type":"structure", "required":[ @@ -38280,17 +38776,20 @@ }, "TargetValue":{ "shape":"Double", - "documentation":"The recommended target value to specify for the metric when creating a scaling policy.
" + "documentation":"The recommended target value to specify for the metric when creating a scaling policy.
", + "box":true } }, "documentation":"A target tracking scaling policy. Includes support for predefined or customized metrics.
When using the PutScalingPolicy API, this parameter is required when you are creating a policy with the policy type TargetTrackingScaling.
The total number of matching results. This value may be exact or an estimate, depending on the Relation field.
The total number of matching results. This value may be exact or an estimate, depending on the Relation field.
If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.
If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
" + "documentation":"When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
", + "box":true }, "CheckpointConfig":{"shape":"CheckpointConfig"}, "TrainingTimeInSeconds":{ @@ -39111,6 +39628,7 @@ "TrainingJobArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:training-job/.*" }, "TrainingJobDefinition":{ @@ -39158,7 +39676,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "TrainingJobSortByOptions":{ "type":"string", @@ -39188,23 +39706,28 @@ "members":{ "Completed":{ "shape":"TrainingJobStatusCounter", - "documentation":"The number of completed training jobs launched by the hyperparameter tuning job.
" + "documentation":"The number of completed training jobs launched by the hyperparameter tuning job.
", + "box":true }, "InProgress":{ "shape":"TrainingJobStatusCounter", - "documentation":"The number of in-progress training jobs launched by a hyperparameter tuning job.
" + "documentation":"The number of in-progress training jobs launched by a hyperparameter tuning job.
", + "box":true }, "RetryableError":{ "shape":"TrainingJobStatusCounter", - "documentation":"The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
" + "documentation":"The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
", + "box":true }, "NonRetryableError":{ "shape":"TrainingJobStatusCounter", - "documentation":"The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
" + "documentation":"The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
", + "box":true }, "Stopped":{ "shape":"TrainingJobStatusCounter", - "documentation":"The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
" + "documentation":"The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
", + "box":true } }, "documentation":"The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
" @@ -39283,16 +39806,19 @@ }, "TrainingPlanDurationHours":{ "type":"long", + "box":true, "max":87600, "min":0 }, "TrainingPlanDurationHoursInput":{ "type":"long", + "box":true, "max":87600, "min":1 }, "TrainingPlanDurationMinutes":{ "type":"long", + "box":true, "max":59, "min":0 }, @@ -39328,7 +39854,7 @@ "type":"string", "max":64, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}" }, "TrainingPlanOffering":{ "type":"structure", @@ -39380,7 +39906,7 @@ "type":"string", "max":256, "min":1, - "pattern":"^[a-z0-9\\-]+$" + "pattern":"[a-z0-9\\-]+" }, "TrainingPlanOfferings":{ "type":"list", @@ -39542,7 +40068,8 @@ }, "SupportsDistributedTraining":{ "shape":"Boolean", - "documentation":"Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
" + "documentation":"Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
", + "box":true }, "MetricDefinitions":{ "shape":"MetricDefinitionList", @@ -39565,13 +40092,14 @@ }, "TrainingTimeInSeconds":{ "type":"integer", + "box":true, "min":1 }, "TransformAmiVersion":{ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9]+(-[a-zA-Z0-9]+)*$" + "pattern":"[a-zA-Z0-9]+(-[a-zA-Z0-9]+)*" }, "TransformDataSource":{ "type":"structure", @@ -39587,17 +40115,20 @@ "TransformEnvironmentKey":{ "type":"string", "max":1024, + "min":0, "pattern":"[a-zA-Z_][a-zA-Z0-9_]{0,1023}" }, "TransformEnvironmentMap":{ "type":"map", "key":{"shape":"TransformEnvironmentKey"}, "value":{"shape":"TransformEnvironmentValue"}, - "max":16 + "max":16, + "min":0 }, "TransformEnvironmentValue":{ "type":"string", "max":10240, + "min":0, "pattern":"[\\S\\s]*" }, "TransformInput":{ @@ -39625,6 +40156,7 @@ }, "TransformInstanceCount":{ "type":"integer", + "box":true, "min":1 }, "TransformInstanceType":{ @@ -39813,6 +40345,7 @@ "TransformJobArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:transform-job/.*" }, "TransformJobDefinition":{ @@ -39858,7 +40391,7 @@ "type":"string", "max":63, "min":1, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "TransformJobStatus":{ "type":"string", @@ -40044,6 +40577,7 @@ "TrialArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment-trial/.*" }, "TrialComponent":{ @@ -40130,6 +40664,7 @@ "TrialComponentArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment-trial-component/.*" }, "TrialComponentArtifact":{ @@ -40150,27 +40685,32 @@ "TrialComponentArtifactValue":{ "type":"string", "max":2048, + "min":0, "pattern":".*" }, "TrialComponentArtifacts":{ "type":"map", "key":{"shape":"TrialComponentKey128"}, "value":{"shape":"TrialComponentArtifact"}, - "max":60 + "max":60, + "min":0 }, "TrialComponentKey128":{ "type":"string", "max":128, + "min":0, "pattern":".*" }, "TrialComponentKey256":{ "type":"string", "max":256, + "min":0, "pattern":".*" }, "TrialComponentKey320":{ "type":"string", "max":320, + "min":0, "pattern":".*" }, "TrialComponentMetricSummaries":{ @@ -40237,7 +40777,8 @@ "type":"map", "key":{"shape":"TrialComponentKey320"}, "value":{"shape":"TrialComponentParameterValue"}, - "max":300 + "max":300, + "min":0 }, "TrialComponentPrimaryStatus":{ "type":"string", @@ -40291,6 +40832,7 @@ "TrialComponentSourceArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*" }, "TrialComponentSourceDetail":{ @@ -40336,6 +40878,7 @@ "TrialComponentStatusMessage":{ "type":"string", "max":1024, + "min":0, "pattern":".*" }, "TrialComponentSummaries":{ @@ -40407,6 +40950,7 @@ "TrialSourceArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*" }, "TrialSummaries":{ @@ -40466,6 +41010,7 @@ }, "TtlDurationValue":{ "type":"integer", + "box":true, "min":1 }, "TuningJobCompletionCriteria":{ @@ -40501,15 +41046,18 @@ "members":{ "Dollars":{ "shape":"Dollars", - "documentation":"The whole number of dollars in the amount.
" + "documentation":"The whole number of dollars in the amount.
", + "box":true }, "Cents":{ "shape":"Cents", - "documentation":"The fractional portion, in cents, of the amount.
" + "documentation":"The fractional portion, in cents, of the amount.
", + "box":true }, "TenthFractionsOfACent":{ "shape":"TenthFractionsOfACent", - "documentation":"Fractions of a cent, in tenths.
" + "documentation":"Fractions of a cent, in tenths.
", + "box":true } }, "documentation":"Represents an amount of money in United States dollars.
" @@ -40555,20 +41103,21 @@ }, "Uid":{ "type":"long", + "box":true, "max":4000000, "min":10000 }, "UnifiedStudioDomainId":{ "type":"string", - "pattern":"^dzd[-_][a-zA-Z0-9_-]{1,36}$" + "pattern":"dzd[-_][a-zA-Z0-9_-]{1,36}" }, "UnifiedStudioEnvironmentId":{ "type":"string", - "pattern":"^[a-zA-Z0-9_-]{1,36}$" + "pattern":"[a-zA-Z0-9_-]{1,36}" }, "UnifiedStudioProjectId":{ "type":"string", - "pattern":"^[a-zA-Z0-9_-]{1,36}$" + "pattern":"[a-zA-Z0-9_-]{1,36}" }, "UnifiedStudioSettings":{ "type":"structure", @@ -40749,7 +41298,8 @@ }, "TargetVersion":{ "shape":"Integer", - "documentation":"Target version.
" + "documentation":"Target version.
", + "box":true }, "SchedulerConfig":{ "shape":"SchedulerConfig", @@ -40774,7 +41324,8 @@ }, "ClusterSchedulerConfigVersion":{ "shape":"Integer", - "documentation":"Version of the cluster policy.
" + "documentation":"Version of the cluster policy.
", + "box":true } } }, @@ -40860,7 +41411,8 @@ }, "TargetVersion":{ "shape":"Integer", - "documentation":"Target version.
" + "documentation":"Target version.
", + "box":true }, "ComputeQuotaConfig":{ "shape":"ComputeQuotaConfig", @@ -40893,7 +41445,8 @@ }, "ComputeQuotaVersion":{ "shape":"Integer", - "documentation":"Version of the compute allocation definition.
" + "documentation":"Version of the compute allocation definition.
", + "box":true } } }, @@ -41038,7 +41591,8 @@ }, "RetainAllVariantProperties":{ "shape":"Boolean", - "documentation":"When updating endpoint resources, enables or disables the retention of variant properties, such as the instance count or the variant weight. To retain the variant properties of an endpoint when updating it, set RetainAllVariantProperties to true. To use the variant properties specified in a new EndpointConfig call when updating an endpoint, set RetainAllVariantProperties to false. The default is false.
When updating endpoint resources, enables or disables the retention of variant properties, such as the instance count or the variant weight. To retain the variant properties of an endpoint when updating it, set RetainAllVariantProperties to true. To use the variant properties specified in a new EndpointConfig call when updating an endpoint, set RetainAllVariantProperties to false. The default is false.
Specifies whether to reuse the last deployment configuration. The default value is false (the configuration is not reused).
" + "documentation":"Specifies whether to reuse the last deployment configuration. The default value is false (the configuration is not reused).
", + "box":true } } }, @@ -41396,7 +41951,8 @@ }, "Horovod":{ "shape":"Horovod", - "documentation":"Indicates Horovod compatibility.
" + "documentation":"Indicates Horovod compatibility.
", + "box":true }, "ReleaseNotes":{ "shape":"ReleaseNotes", @@ -41530,7 +42086,8 @@ }, "AutomaticModelRegistration":{ "shape":"Boolean", - "documentation":"Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.
Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.
This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to remove from this notebook instance.
" + "documentation":"This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to remove from this notebook instance.
", + "box":true }, "DisassociateDefaultCodeRepository":{ "shape":"DisassociateDefaultCodeRepository", - "documentation":"The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
" + "documentation":"The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
", + "box":true }, "DisassociateAdditionalCodeRepositories":{ "shape":"DisassociateAdditionalCodeRepositories", - "documentation":"A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
" + "documentation":"A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
", + "box":true }, "RootAccess":{ "shape":"RootAccess", @@ -41785,11 +42346,13 @@ }, "UpdateNotebookInstanceLifecycleConfigOutput":{ "type":"structure", - "members":{} + "members":{ + } }, "UpdateNotebookInstanceOutput":{ "type":"structure", - "members":{} + "members":{ + } }, "UpdatePartnerAppRequest":{ "type":"structure", @@ -42195,7 +42758,8 @@ "Url":{ "type":"string", "max":1024, - "pattern":"^(https|s3)://([^/]+)/?(.*)$" + "min":0, + "pattern":"(https|s3)://([^/]+)/?(.*)" }, "UserContext":{ "type":"structure", @@ -42222,6 +42786,7 @@ "UserProfileArn":{ "type":"string", "max":256, + "min":0, "pattern":"arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:user-profile/.*" }, "UserProfileDetails":{ @@ -42257,7 +42822,8 @@ "UserProfileName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "UserProfileSortKey":{ "type":"string", @@ -42358,27 +42924,32 @@ }, "UsersPerStep":{ "type":"integer", + "box":true, "max":3, "min":1 }, "UtilizationMetric":{ "type":"float", + "box":true, "min":0.0 }, "UtilizationPercentagePerCore":{ "type":"integer", + "box":true, "max":100, "min":1 }, "ValidationFraction":{ "type":"float", + "box":true, "max":1, "min":0 }, "VariantName":{ "type":"string", "max":63, - "pattern":"^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" + "min":0, + "pattern":"[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}" }, "VariantProperty":{ "type":"structure", @@ -42417,10 +42988,12 @@ }, "VariantStatusMessage":{ "type":"string", - "max":1024 + "max":1024, + "min":0 }, "VariantWeight":{ "type":"float", + "box":true, "min":0 }, "VectorConfig":{ @@ -42446,7 +43019,8 @@ "VersionAliasesList":{ "type":"list", "member":{"shape":"ImageVersionAliasPattern"}, - "max":20 + "max":20, + "min":0 }, "VersionId":{ "type":"string", @@ -42458,7 +43032,7 @@ "type":"string", "max":176, "min":1, - "pattern":"(arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:[a-z\\-]*\\/)?([a-zA-Z0-9]([a-zA-Z0-9-]){0,62})(?