Class | Description |
---|---|
AddTagsRequest | |
AddTagsResult | |
AlgorithmSpecification |
Specifies the training algorithm to use in a CreateTrainingJob request.
|
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.
|
AnnotationConsolidationConfig |
Configures how labels are consolidated across human workers.
|
AppDetails |
The app's details.
|
AppSpecification |
Configuration to run a processing job in a specified container image.
|
AssociateTrialComponentRequest | |
AssociateTrialComponentResult | |
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.
|
AutoMLJobSummary |
Provides a summary about a job.
|
AutoMLOutputDataConfig |
The output data configuration.
|
AutoMLS3DataSource |
The Amazon S3 data source.
|
AutoMLSecurityConfig |
Security options.
|
CaptureContentTypeHeader |
|
CaptureOption |
|
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.
|
CodeRepositorySummary |
Specifies summary information about a Git repository.
|
CognitoMemberDefinition |
Identifies a Amazon Cognito user group.
|
CollectionConfiguration |
Configuration information for tensor collections.
|
CompilationJobSummary |
A summary of a model compilation job.
|
ContainerDefinition |
Describes the container, as part of model definition.
|
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.
|
DisassociateTrialComponentRequest | |
DisassociateTrialComponentResult | |
DomainDetails |
The domain's details.
|
EndpointConfigSummary |
Provides summary information for an endpoint configuration.
|
EndpointInput |
Input object for the endpoint
|
EndpointSummary |
Provides summary information for an endpoint.
|
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.
|
FileSystemDataSource |
Specifies a file system data source for a channel.
|
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.
|
FlowDefinitionSummary |
Contains summary information about the flow definition.
|
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.
|
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.
|
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.
|
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.
|
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.
|
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.
|
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 | |
ListDomainsRequest | |
ListDomainsResult | |
ListEndpointConfigsRequest | |
ListEndpointConfigsResult | |
ListEndpointsRequest | |
ListEndpointsResult | |
ListExperimentsRequest | |
ListExperimentsResult | |
ListFlowDefinitionsRequest | |
ListFlowDefinitionsResult | |
ListHumanTaskUisRequest | |
ListHumanTaskUisResult | |
ListHyperParameterTuningJobsRequest | |
ListHyperParameterTuningJobsResult | |
ListLabelingJobsForWorkteamRequest | |
ListLabelingJobsForWorkteamResult | |
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 | |
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.
|
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.
|
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.
|
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.
|
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.
|
NotebookInstanceLifecycleConfigSummary |
Provides a summary of a notebook instance lifecycle configuration.
|
NotebookInstanceLifecycleHook |
Contains the notebook instance lifecycle configuration script.
|
NotebookInstanceSummary |
Provides summary information for an Amazon SageMaker notebook instance.
|
NotificationConfiguration |
Configures SNS notifications of available or expiring work items for work teams.
|
ObjectiveStatusCounters |
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
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.
|
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.
|
ProcessingClusterConfig |
Configuration for the cluster used to run a processing job.
|
ProcessingInput |
The inputs for a processing job.
|
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.
|
ProcessingS3Input |
Information about where and how you want to obtain the inputs for an processing job.
|
ProcessingS3Output |
Information about where and how you want to store the results of an processing job.
|
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.
|
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.
|
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.
|
RetentionPolicy |
The retention policy.
|
S3DataSource |
Describes the S3 data source.
|
ScheduleConfig |
Configuration details about the monitoring schedule.
|
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 | |
SecondaryStatusTransition |
An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions.
|
SharingSettings |
The sharing settings.
|
ShuffleConfig |
A configuration for a shuffle option for input data in a channel.
|
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).
|
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.
|
TensorBoardAppSettings |
The TensorBoard app settings.
|
TensorBoardOutputConfig |
Configuration of storage locations for TensorBoard output.
|
TrainingJob |
Contains information about a training job.
|
TrainingJobDefinition |
Defines the input needed to run a training job using the algorithm.
|
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.
|
TransformJobDefinition |
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
|
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.
|
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.
|
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.
|
Exception | Description |
---|---|
AmazonSageMakerException |
Base exception for all service exceptions thrown by Amazon SageMaker Service
|
ConflictException |
There was a conflict when you attempted to modify an experiment, trial, or trial component.
|
ResourceInUseException |
Resource being accessed is in use.
|
ResourceLimitExceededException |
You have exceeded an Amazon SageMaker resource limit.
|
ResourceNotFoundException |
Resource being access is not found.
|
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