| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker |
Provides APIs for creating and managing Amazon SageMaker resources.
|
| com.amazonaws.services.sagemaker.model | |
| com.amazonaws.services.sagemaker.waiters |
| Class and Description |
|---|
| AddTagsRequest |
| AddTagsResult |
| AlgorithmSortBy |
| AlgorithmSpecification
Specifies the training algorithm to use in a CreateTrainingJob request.
|
| AlgorithmStatus |
| AlgorithmStatusDetails
Specifies the validation and image scan statuses of the algorithm.
|
| AlgorithmStatusItem
Represents the overall status of an algorithm.
|
| AlgorithmSummary
Provides summary information about an algorithm.
|
| AlgorithmValidationProfile
Defines a training job and a batch transform job that Amazon SageMaker runs to validate your algorithm.
|
| AlgorithmValidationSpecification
Specifies configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
|
| AmazonSageMakerException
Base exception for all service exceptions thrown by Amazon SageMaker Service
|
| AnnotationConsolidationConfig
Configures how labels are consolidated across human workers.
|
| AppDetails
The app's details.
|
| AppInstanceType |
| AppSortKey |
| AppSpecification
Configuration to run a processing job in a specified container image.
|
| AppStatus |
| AppType |
| AssemblyType |
| AssociateTrialComponentRequest |
| AssociateTrialComponentResult |
| AuthMode |
| AutoMLCandidate
An AutoPilot job will return recommendations, or candidates.
|
| AutoMLCandidateStep
Information about the steps for a Candidate, and what step it is working on.
|
| AutoMLChannel
Similar to Channel.
|
| AutoMLContainerDefinition
A list of container definitions that describe the different containers that make up one AutoML candidate.
|
| AutoMLDataSource
The data source for the AutoPilot job.
|
| AutoMLJobArtifacts
Artifacts that are generation during a job.
|
| AutoMLJobCompletionCriteria
How long a job is allowed to run, or how many candidates a job is allowed to generate.
|
| AutoMLJobConfig
A collection of settings used for a job.
|
| AutoMLJobObjective
Applies a metric to minimize or maximize for the job's objective.
|
| AutoMLJobObjectiveType |
| AutoMLJobSecondaryStatus |
| AutoMLJobStatus |
| AutoMLJobSummary
Provides a summary about a job.
|
| AutoMLMetricEnum |
| AutoMLOutputDataConfig
The output data configuration.
|
| AutoMLS3DataSource
The Amazon S3 data source.
|
| AutoMLS3DataType |
| AutoMLSecurityConfig
Security options.
|
| AutoMLSortBy |
| AutoMLSortOrder |
| AwsManagedHumanLoopRequestSource |
| BatchStrategy |
| BooleanOperator |
| CandidateSortBy |
| CandidateStatus |
| CandidateStepType |
| CaptureContentTypeHeader
|
| CaptureMode |
| CaptureOption
|
| CaptureStatus |
| CategoricalParameterRange
A list of categorical hyperparameters to tune.
|
| CategoricalParameterRangeSpecification
Defines the possible values for a categorical hyperparameter.
|
| Channel
A channel is a named input source that training algorithms can consume.
|
| ChannelSpecification
Defines a named input source, called a channel, to be used by an algorithm.
|
| CheckpointConfig
Contains information about the output location for managed spot training checkpoint data.
|
| CodeRepositorySortBy |
| CodeRepositorySortOrder |
| CodeRepositorySummary
Specifies summary information about a Git repository.
|
| CognitoMemberDefinition
Identifies a Amazon Cognito user group.
|
| CollectionConfiguration
Configuration information for tensor collections.
|
| CompilationJobStatus |
| CompilationJobSummary
A summary of a model compilation job.
|
| CompressionType |
| ContainerDefinition
Describes the container, as part of model definition.
|
| ContainerMode |
| ContentClassifier |
| ContinuousParameterRange
A list of continuous hyperparameters to tune.
|
| ContinuousParameterRangeSpecification
Defines the possible values for a continuous hyperparameter.
|
| CreateAlgorithmRequest |
| CreateAlgorithmResult |
| CreateAppRequest |
| CreateAppResult |
| CreateAutoMLJobRequest |
| CreateAutoMLJobResult |
| CreateCodeRepositoryRequest |
| CreateCodeRepositoryResult |
| CreateCompilationJobRequest |
| CreateCompilationJobResult |
| CreateDomainRequest |
| CreateDomainResult |
| CreateEndpointConfigRequest |
| CreateEndpointConfigResult |
| CreateEndpointRequest |
| CreateEndpointResult |
| CreateExperimentRequest |
| CreateExperimentResult |
| CreateFlowDefinitionRequest |
| CreateFlowDefinitionResult |
| CreateHumanTaskUiRequest |
| CreateHumanTaskUiResult |
| CreateHyperParameterTuningJobRequest |
| CreateHyperParameterTuningJobResult |
| CreateLabelingJobRequest |
| CreateLabelingJobResult |
| CreateModelPackageRequest |
| CreateModelPackageResult |
| CreateModelRequest |
| CreateModelResult |
| CreateMonitoringScheduleRequest |
| CreateMonitoringScheduleResult |
| CreateNotebookInstanceLifecycleConfigRequest |
| CreateNotebookInstanceLifecycleConfigResult |
| CreateNotebookInstanceRequest |
| CreateNotebookInstanceResult |
| CreatePresignedDomainUrlRequest |
| CreatePresignedDomainUrlResult |
| CreatePresignedNotebookInstanceUrlRequest |
| CreatePresignedNotebookInstanceUrlResult |
| CreateProcessingJobRequest |
| CreateProcessingJobResult |
| CreateTrainingJobRequest |
| CreateTrainingJobResult |
| CreateTransformJobRequest |
| CreateTransformJobResult |
| CreateTrialComponentRequest |
| CreateTrialComponentResult |
| CreateTrialRequest |
| CreateTrialResult |
| CreateUserProfileRequest |
| CreateUserProfileResult |
| CreateWorkteamRequest |
| CreateWorkteamResult |
| DataCaptureConfig
|
| DataCaptureConfigSummary
|
| DataProcessing
The data structure used to specify the data to be used for inference in a batch transform job and to associate the
data that is relevant to the prediction results in the output.
|
| DataSource
Describes the location of the channel data.
|
| DebugHookConfig
Configuration information for the debug hook parameters, collection configuration, and storage paths.
|
| DebugRuleConfiguration
Configuration information for debugging rules.
|
| DebugRuleEvaluationStatus
Information about the status of the rule evaluation.
|
| DeleteAlgorithmRequest |
| DeleteAlgorithmResult |
| DeleteAppRequest |
| DeleteAppResult |
| DeleteCodeRepositoryRequest |
| DeleteCodeRepositoryResult |
| DeleteDomainRequest |
| DeleteDomainResult |
| DeleteEndpointConfigRequest |
| DeleteEndpointConfigResult |
| DeleteEndpointRequest |
| DeleteEndpointResult |
| DeleteExperimentRequest |
| DeleteExperimentResult |
| DeleteFlowDefinitionRequest |
| DeleteFlowDefinitionResult |
| DeleteModelPackageRequest |
| DeleteModelPackageResult |
| DeleteModelRequest |
| DeleteModelResult |
| DeleteMonitoringScheduleRequest |
| DeleteMonitoringScheduleResult |
| DeleteNotebookInstanceLifecycleConfigRequest |
| DeleteNotebookInstanceLifecycleConfigResult |
| DeleteNotebookInstanceRequest |
| DeleteNotebookInstanceResult |
| DeleteTagsRequest |
| DeleteTagsResult |
| DeleteTrialComponentRequest |
| DeleteTrialComponentResult |
| DeleteTrialRequest |
| DeleteTrialResult |
| DeleteUserProfileRequest |
| DeleteUserProfileResult |
| DeleteWorkteamRequest |
| DeleteWorkteamResult |
| DeployedImage
Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this
ProductionVariant.
|
| DescribeAlgorithmRequest |
| DescribeAlgorithmResult |
| DescribeAppRequest |
| DescribeAppResult |
| DescribeAutoMLJobRequest |
| DescribeAutoMLJobResult |
| DescribeCodeRepositoryRequest |
| DescribeCodeRepositoryResult |
| DescribeCompilationJobRequest |
| DescribeCompilationJobResult |
| DescribeDomainRequest |
| DescribeDomainResult |
| DescribeEndpointConfigRequest |
| DescribeEndpointConfigResult |
| DescribeEndpointRequest |
| DescribeEndpointResult |
| DescribeExperimentRequest |
| DescribeExperimentResult |
| DescribeFlowDefinitionRequest |
| DescribeFlowDefinitionResult |
| DescribeHumanTaskUiRequest |
| DescribeHumanTaskUiResult |
| DescribeHyperParameterTuningJobRequest |
| DescribeHyperParameterTuningJobResult |
| DescribeLabelingJobRequest |
| DescribeLabelingJobResult |
| DescribeModelPackageRequest |
| DescribeModelPackageResult |
| DescribeModelRequest |
| DescribeModelResult |
| DescribeMonitoringScheduleRequest |
| DescribeMonitoringScheduleResult |
| DescribeNotebookInstanceLifecycleConfigRequest |
| DescribeNotebookInstanceLifecycleConfigResult |
| DescribeNotebookInstanceRequest |
| DescribeNotebookInstanceResult |
| DescribeProcessingJobRequest |
| DescribeProcessingJobResult |
| DescribeSubscribedWorkteamRequest |
| DescribeSubscribedWorkteamResult |
| DescribeTrainingJobRequest |
| DescribeTrainingJobResult |
| DescribeTransformJobRequest |
| DescribeTransformJobResult |
| DescribeTrialComponentRequest |
| DescribeTrialComponentResult |
| DescribeTrialRequest |
| DescribeTrialResult |
| DescribeUserProfileRequest |
| DescribeUserProfileResult |
| DescribeWorkforceRequest |
| DescribeWorkforceResult |
| DescribeWorkteamRequest |
| DescribeWorkteamResult |
| DesiredWeightAndCapacity
Specifies weight and capacity values for a production variant.
|
| DetailedAlgorithmStatus |
| DetailedModelPackageStatus |
| DirectInternetAccess |
| DisassociateTrialComponentRequest |
| DisassociateTrialComponentResult |
| DomainDetails
The domain's details.
|
| DomainStatus |
| EndpointConfigSortKey |
| EndpointConfigSummary
Provides summary information for an endpoint configuration.
|
| EndpointInput
Input object for the endpoint
|
| EndpointSortKey |
| EndpointStatus |
| EndpointSummary
Provides summary information for an endpoint.
|
| ExecutionStatus |
| Experiment
A summary of the properties of an experiment as returned by the Search API.
|
| ExperimentConfig
Configuration for the experiment.
|
| ExperimentSource
The source of the experiment.
|
| ExperimentSummary
A summary of the properties of an experiment.
|
| FileSystemAccessMode |
| FileSystemDataSource
Specifies a file system data source for a channel.
|
| FileSystemType |
| Filter
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
|
| FinalAutoMLJobObjectiveMetric
The candidate result from a job.
|
| FinalHyperParameterTuningJobObjectiveMetric
Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job.
|
| FlowDefinitionOutputConfig
Contains information about where human output will be stored.
|
| FlowDefinitionStatus |
| FlowDefinitionSummary
Contains summary information about the flow definition.
|
| Framework |
| GetSearchSuggestionsRequest |
| GetSearchSuggestionsResult |
| GitConfig
Specifies configuration details for a Git repository in your AWS account.
|
| GitConfigForUpdate
Specifies configuration details for a Git repository when the repository is updated.
|
| HumanLoopActivationConditionsConfig
Defines under what conditions SageMaker creates a human loop.
|
| HumanLoopActivationConfig
Provides information about how and under what conditions SageMaker creates a human loop.
|
| HumanLoopConfig
Describes the work to be performed by human workers.
|
| HumanLoopRequestSource
Container for configuring the source of human task requests.
|
| HumanTaskConfig
Information required for human workers to complete a labeling task.
|
| HumanTaskUiSummary
Container for human task user interface information.
|
| HyperParameterAlgorithmSpecification
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics
to monitor.
|
| HyperParameterScalingType |
| HyperParameterSpecification
Defines a hyperparameter to be used by an algorithm.
|
| HyperParameterTrainingJobDefinition
Defines the training jobs launched by a hyperparameter tuning job.
|
| HyperParameterTrainingJobSummary
Specifies summary information about a training job.
|
| HyperParameterTuningJobConfig
Configures a hyperparameter tuning job.
|
| HyperParameterTuningJobObjective
Defines the objective metric for a hyperparameter tuning job.
|
| HyperParameterTuningJobObjectiveType |
| HyperParameterTuningJobSortByOptions |
| HyperParameterTuningJobStatus |
| HyperParameterTuningJobStrategyType
The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model.
|
| HyperParameterTuningJobSummary
Provides summary information about a hyperparameter tuning job.
|
| HyperParameterTuningJobWarmStartConfig
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs
as a starting point.
|
| HyperParameterTuningJobWarmStartType |
| InferenceSpecification
Defines how to perform inference generation after a training job is run.
|
| InputConfig
Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and
the framework in which the model was trained.
|
| InstanceType |
| IntegerParameterRange
For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
|
| IntegerParameterRangeSpecification
Defines the possible values for an integer hyperparameter.
|
| JoinSource |
| JupyterServerAppSettings
Jupyter server's app settings.
|
| KernelGatewayAppSettings
The kernel gateway app settings.
|
| LabelCounters
Provides a breakdown of the number of objects labeled.
|
| LabelCountersForWorkteam
Provides counts for human-labeled tasks in the labeling job.
|
| LabelingJobAlgorithmsConfig
Provides configuration information for auto-labeling of your data objects.
|
| LabelingJobDataAttributes
Attributes of the data specified by the customer.
|
| LabelingJobDataSource
Provides information about the location of input data.
|
| LabelingJobForWorkteamSummary
Provides summary information for a work team.
|
| LabelingJobInputConfig
Input configuration information for a labeling job.
|
| LabelingJobOutput
Specifies the location of the output produced by the labeling job.
|
| LabelingJobOutputConfig
Output configuration information for a labeling job.
|
| LabelingJobResourceConfig
Provides configuration information for labeling jobs.
|
| LabelingJobS3DataSource
The Amazon S3 location of the input data objects.
|
| LabelingJobStatus |
| LabelingJobStoppingConditions
A set of conditions for stopping a labeling job.
|
| LabelingJobSummary
Provides summary information about a labeling job.
|
| ListAlgorithmsRequest |
| ListAlgorithmsResult |
| ListAppsRequest |
| ListAppsResult |
| ListAutoMLJobsRequest |
| ListAutoMLJobsResult |
| ListCandidatesForAutoMLJobRequest |
| ListCandidatesForAutoMLJobResult |
| ListCodeRepositoriesRequest |
| ListCodeRepositoriesResult |
| ListCompilationJobsRequest |
| ListCompilationJobsResult |
| ListCompilationJobsSortBy |
| ListDomainsRequest |
| ListDomainsResult |
| ListEndpointConfigsRequest |
| ListEndpointConfigsResult |
| ListEndpointsRequest |
| ListEndpointsResult |
| ListExperimentsRequest |
| ListExperimentsResult |
| ListFlowDefinitionsRequest |
| ListFlowDefinitionsResult |
| ListHumanTaskUisRequest |
| ListHumanTaskUisResult |
| ListHyperParameterTuningJobsRequest |
| ListHyperParameterTuningJobsResult |
| ListLabelingJobsForWorkteamRequest |
| ListLabelingJobsForWorkteamResult |
| ListLabelingJobsForWorkteamSortByOptions |
| ListLabelingJobsRequest |
| ListLabelingJobsResult |
| ListModelPackagesRequest |
| ListModelPackagesResult |
| ListModelsRequest |
| ListModelsResult |
| ListMonitoringExecutionsRequest |
| ListMonitoringExecutionsResult |
| ListMonitoringSchedulesRequest |
| ListMonitoringSchedulesResult |
| ListNotebookInstanceLifecycleConfigsRequest |
| ListNotebookInstanceLifecycleConfigsResult |
| ListNotebookInstancesRequest |
| ListNotebookInstancesResult |
| ListProcessingJobsRequest |
| ListProcessingJobsResult |
| ListSubscribedWorkteamsRequest |
| ListSubscribedWorkteamsResult |
| ListTagsRequest |
| ListTagsResult |
| ListTrainingJobsForHyperParameterTuningJobRequest |
| ListTrainingJobsForHyperParameterTuningJobResult |
| ListTrainingJobsRequest |
| ListTrainingJobsResult |
| ListTransformJobsRequest |
| ListTransformJobsResult |
| ListTrialComponentsRequest |
| ListTrialComponentsResult |
| ListTrialsRequest |
| ListTrialsResult |
| ListUserProfilesRequest |
| ListUserProfilesResult |
| ListWorkteamsRequest |
| ListWorkteamsResult |
| ListWorkteamsSortByOptions |
| MemberDefinition
Defines the Amazon Cognito user group that is part of a work team.
|
| MetricData
The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
|
| MetricDefinition
Specifies a metric that the training algorithm writes to
stderr or stdout . |
| ModelArtifacts
Provides information about the location that is configured for storing model artifacts.
|
| ModelPackageContainerDefinition
Describes the Docker container for the model package.
|
| ModelPackageSortBy |
| ModelPackageStatus |
| ModelPackageStatusDetails
Specifies the validation and image scan statuses of the model package.
|
| ModelPackageStatusItem
Represents the overall status of a model package.
|
| ModelPackageSummary
Provides summary information about a model package.
|
| ModelPackageValidationProfile
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model
package.
|
| ModelPackageValidationSpecification
Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.
|
| ModelSortKey |
| ModelSummary
Provides summary information about a model.
|
| MonitoringAppSpecification
Container image configuration object for the monitoring job.
|
| MonitoringBaselineConfig
Configuration for monitoring constraints and monitoring statistics.
|
| MonitoringClusterConfig
Configuration for the cluster used to run model monitoring jobs.
|
| MonitoringConstraintsResource
The constraints resource for a monitoring job.
|
| MonitoringExecutionSortKey |
| MonitoringExecutionSummary
Summary of information about the last monitoring job to run.
|
| MonitoringInput
The inputs for a monitoring job.
|
| MonitoringJobDefinition
Defines the monitoring job.
|
| MonitoringOutput
The output object for a monitoring job.
|
| MonitoringOutputConfig
The output configuration for monitoring jobs.
|
| MonitoringResources
Identifies the resources to deploy for a monitoring job.
|
| MonitoringS3Output
Information about where and how you want to store the results of a monitoring job.
|
| MonitoringScheduleConfig
Configures the monitoring schedule and defines the monitoring job.
|
| MonitoringScheduleSortKey |
| MonitoringScheduleSummary
Summarizes the monitoring schedule.
|
| MonitoringStatisticsResource
The statistics resource for a monitoring job.
|
| MonitoringStoppingCondition
A time limit for how long the monitoring job is allowed to run before stopping.
|
| NestedFilters
Defines a list of
NestedFilters objects. |
| NetworkConfig
Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and
outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
|
| NotebookInstanceAcceleratorType |
| NotebookInstanceLifecycleConfigSortKey |
| NotebookInstanceLifecycleConfigSortOrder |
| NotebookInstanceLifecycleConfigSummary
Provides a summary of a notebook instance lifecycle configuration.
|
| NotebookInstanceLifecycleHook
Contains the notebook instance lifecycle configuration script.
|
| NotebookInstanceSortKey |
| NotebookInstanceSortOrder |
| NotebookInstanceStatus |
| NotebookInstanceSummary
Provides summary information for an Amazon SageMaker notebook instance.
|
| NotebookOutputOption |
| NotificationConfiguration
Configures SNS notifications of available or expiring work items for work teams.
|
| ObjectiveStatus |
| ObjectiveStatusCounters
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
| Operator |
| OrderKey |
| OutputConfig
Contains information about the output location for the compiled model and the device (target) that the model runs on.
|
| OutputDataConfig
Provides information about how to store model training results (model artifacts).
|
| ParameterRange
Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
|
| ParameterRanges
Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
|
| ParameterType |
| Parent
The trial that a trial component is associated with and the experiment the trial is part of.
|
| ParentHyperParameterTuningJob
A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter
tuning job.
|
| ProblemType |
| ProcessingClusterConfig
Configuration for the cluster used to run a processing job.
|
| ProcessingInput
The inputs for a processing job.
|
| ProcessingInstanceType |
| ProcessingJobStatus |
| ProcessingJobSummary
Summary of information about a processing job.
|
| ProcessingOutput
Describes the results of a processing job.
|
| ProcessingOutputConfig
The output configuration for the processing job.
|
| ProcessingResources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
| ProcessingS3CompressionType |
| ProcessingS3DataDistributionType |
| ProcessingS3DataType |
| ProcessingS3Input
Information about where and how you want to obtain the inputs for an processing job.
|
| ProcessingS3InputMode |
| ProcessingS3Output
Information about where and how you want to store the results of an processing job.
|
| ProcessingS3UploadMode |
| ProcessingStoppingCondition
Specifies a time limit for how long the processing job is allowed to run.
|
| ProductionVariant
Identifies a model that you want to host and the resources to deploy for hosting it.
|
| ProductionVariantAcceleratorType |
| ProductionVariantInstanceType |
| ProductionVariantSummary
Describes weight and capacities for a production variant associated with an endpoint.
|
| PropertyNameQuery
Part of the
SuggestionQuery type. |
| PropertyNameSuggestion
A property name returned from a
GetSearchSuggestions call that specifies a value in the
PropertyNameQuery field. |
| PublicWorkforceTaskPrice
Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
|
| RecordWrapper |
| RenderableTask
Contains input values for a task.
|
| RenderingError
A description of an error that occurred while rendering the template.
|
| RenderUiTemplateRequest |
| RenderUiTemplateResult |
| ResolvedAttributes
The resolved attributes.
|
| ResourceConfig
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
|
| ResourceLimits
Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
|
| ResourceSpec
The instance type and quantity.
|
| ResourceType |
| RetentionPolicy
The retention policy.
|
| RetentionType |
| RootAccess |
| RuleEvaluationStatus |
| S3DataDistribution |
| S3DataSource
Describes the S3 data source.
|
| S3DataType |
| ScheduleConfig
Configuration details about the monitoring schedule.
|
| ScheduleStatus |
| SearchExpression
A multi-expression that searches for the specified resource or resources in a search.
|
| SearchRecord
An individual search result record that contains a single resource object.
|
| SearchRequest |
| SearchResult |
| SearchSortOrder |
| SecondaryStatus |
| SecondaryStatusTransition
An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions.
|
| SharingSettings
The sharing settings.
|
| ShuffleConfig
A configuration for a shuffle option for input data in a channel.
|
| SortBy |
| SortExperimentsBy |
| SortOrder |
| SortTrialComponentsBy |
| SortTrialsBy |
| SourceAlgorithm
Specifies an algorithm that was used to create the model package.
|
| SourceAlgorithmSpecification
A list of algorithms that were used to create a model package.
|
| SourceIpConfig
A list of IP address ranges (CIDRs).
|
| SplitType |
| StartMonitoringScheduleRequest |
| StartMonitoringScheduleResult |
| StartNotebookInstanceRequest |
| StartNotebookInstanceResult |
| StopAutoMLJobRequest |
| StopAutoMLJobResult |
| StopCompilationJobRequest |
| StopCompilationJobResult |
| StopHyperParameterTuningJobRequest |
| StopHyperParameterTuningJobResult |
| StopLabelingJobRequest |
| StopLabelingJobResult |
| StopMonitoringScheduleRequest |
| StopMonitoringScheduleResult |
| StopNotebookInstanceRequest |
| StopNotebookInstanceResult |
| StoppingCondition
Specifies a limit to how long a model training or compilation job can run.
|
| StopProcessingJobRequest |
| StopProcessingJobResult |
| StopTrainingJobRequest |
| StopTrainingJobResult |
| StopTransformJobRequest |
| StopTransformJobResult |
| SubscribedWorkteam
Describes a work team of a vendor that does the a labelling job.
|
| SuggestionQuery
Specified in the GetSearchSuggestions request.
|
| Tag
Describes a tag.
|
| TargetDevice |
| TensorBoardAppSettings
The TensorBoard app settings.
|
| TensorBoardOutputConfig
Configuration of storage locations for TensorBoard output.
|
| TrainingInputMode |
| TrainingInstanceType |
| TrainingJob
Contains information about a training job.
|
| TrainingJobDefinition
Defines the input needed to run a training job using the algorithm.
|
| TrainingJobEarlyStoppingType |
| TrainingJobSortByOptions |
| TrainingJobStatus |
| TrainingJobStatusCounters
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
|
| TrainingJobSummary
Provides summary information about a training job.
|
| TrainingSpecification
Defines how the algorithm is used for a training job.
|
| TransformDataSource
Describes the location of the channel data.
|
| TransformInput
Describes the input source of a transform job and the way the transform job consumes it.
|
| TransformInstanceType |
| TransformJobDefinition
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
|
| TransformJobStatus |
| TransformJobSummary
Provides a summary of a transform job.
|
| TransformOutput
Describes the results of a transform job.
|
| TransformResources
Describes the resources, including ML instance types and ML instance count, to use for transform job.
|
| TransformS3DataSource
Describes the S3 data source.
|
| Trial
A summary of the properties of a trial as returned by the Search API.
|
| TrialComponent
A summary of the properties of a trial component as returned by the Search API.
|
| TrialComponentArtifact
Represents an input or output artifact of a trial component.
|
| TrialComponentMetricSummary
A summary of the metrics of a trial component.
|
| TrialComponentParameterValue
The value of a hyperparameter.
|
| TrialComponentPrimaryStatus |
| TrialComponentSimpleSummary
A short summary of a trial component.
|
| TrialComponentSource
The source of the trial component.
|
| TrialComponentSourceDetail
Detailed information about the source of a trial component.
|
| TrialComponentStatus
The status of the trial component.
|
| TrialComponentSummary
A summary of the properties of a trial component.
|
| TrialSource
The source of the trial.
|
| TrialSummary
A summary of the properties of a trial.
|
| TuningJobCompletionCriteria
The job completion criteria.
|
| UiConfig
Provided configuration information for the worker UI for a labeling job.
|
| UiTemplate
The Liquid template for the worker user interface.
|
| UiTemplateInfo
Container for user interface template information.
|
| UpdateCodeRepositoryRequest |
| UpdateCodeRepositoryResult |
| UpdateDomainRequest |
| UpdateDomainResult |
| UpdateEndpointRequest |
| UpdateEndpointResult |
| UpdateEndpointWeightsAndCapacitiesRequest |
| UpdateEndpointWeightsAndCapacitiesResult |
| UpdateExperimentRequest |
| UpdateExperimentResult |
| UpdateMonitoringScheduleRequest |
| UpdateMonitoringScheduleResult |
| UpdateNotebookInstanceLifecycleConfigRequest |
| UpdateNotebookInstanceLifecycleConfigResult |
| UpdateNotebookInstanceRequest |
| UpdateNotebookInstanceResult |
| UpdateTrialComponentRequest |
| UpdateTrialComponentResult |
| UpdateTrialRequest |
| UpdateTrialResult |
| UpdateUserProfileRequest |
| UpdateUserProfileResult |
| UpdateWorkforceRequest |
| UpdateWorkforceResult |
| UpdateWorkteamRequest |
| UpdateWorkteamResult |
| USD
Represents an amount of money in United States dollars/
|
| UserContext
Information about the user who created or modified an experiment, trial, or trial component.
|
| UserProfileDetails
The user profile details.
|
| UserProfileSortKey |
| UserProfileStatus |
| UserSettings
A collection of settings.
|
| VpcConfig
Specifies a VPC that your training jobs and hosted models have access to.
|
| Workforce
A single private workforce, which is automatically created when you create your first private work team.
|
| Workteam
Provides details about a labeling work team.
|
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