[−][src]Crate rusoto_sagemaker
Definition of the public APIs exposed by SageMaker
If you're using the service, you're probably looking for SageMakerClient and SageMaker.
Structs
| AddTagsInput | |
| AddTagsOutput | |
| AlgorithmSpecification | Specifies the training algorithm to use in a CreateTrainingJob request. For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about using your own algorithms, see your-algorithms. |
| CategoricalParameterRange | A list of categorical hyperparameters to tune. |
| Channel | A channel is a named input source that training algorithms can consume. |
| ContainerDefinition | Describes the container, as part of model definition. |
| ContinuousParameterRange | A list of continuous hyperparameters to tune. |
| CreateEndpointConfigInput | |
| CreateEndpointConfigOutput | |
| CreateEndpointInput | |
| CreateEndpointOutput | |
| CreateHyperParameterTuningJobRequest | |
| CreateHyperParameterTuningJobResponse | |
| CreateModelInput | |
| CreateModelOutput | |
| CreateNotebookInstanceInput | |
| CreateNotebookInstanceLifecycleConfigInput | |
| CreateNotebookInstanceLifecycleConfigOutput | |
| CreateNotebookInstanceOutput | |
| CreatePresignedNotebookInstanceUrlInput | |
| CreatePresignedNotebookInstanceUrlOutput | |
| CreateTrainingJobRequest | |
| CreateTrainingJobResponse | |
| CreateTransformJobRequest | |
| CreateTransformJobResponse | |
| DataSource | Describes the location of the channel data. |
| DeleteEndpointConfigInput | |
| DeleteEndpointInput | |
| DeleteModelInput | |
| DeleteNotebookInstanceInput | |
| DeleteNotebookInstanceLifecycleConfigInput | |
| DeleteTagsInput | |
| DeleteTagsOutput | |
| DeployedImage | Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant. If you used the |
| DescribeEndpointConfigInput | |
| DescribeEndpointConfigOutput | |
| DescribeEndpointInput | |
| DescribeEndpointOutput | |
| DescribeHyperParameterTuningJobRequest | |
| DescribeHyperParameterTuningJobResponse | |
| DescribeModelInput | |
| DescribeModelOutput | |
| DescribeNotebookInstanceInput | |
| DescribeNotebookInstanceLifecycleConfigInput | |
| DescribeNotebookInstanceLifecycleConfigOutput | |
| DescribeNotebookInstanceOutput | |
| DescribeTrainingJobRequest | |
| DescribeTrainingJobResponse | |
| DescribeTransformJobRequest | |
| DescribeTransformJobResponse | |
| DesiredWeightAndCapacity | Specifies weight and capacity values for a production variant. |
| EndpointConfigSummary | Provides summary information for an endpoint configuration. |
| EndpointSummary | Provides summary information for an endpoint. |
| FinalHyperParameterTuningJobObjectiveMetric | Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the |
| HyperParameterAlgorithmSpecification | Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor. |
| 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. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the |
| HyperParameterTuningJobSummary | Provides summary information about a hyperparameter tuning job. |
| IntegerParameterRange | For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches. |
| ListEndpointConfigsInput | |
| ListEndpointConfigsOutput | |
| ListEndpointsInput | |
| ListEndpointsOutput | |
| ListHyperParameterTuningJobsRequest | |
| ListHyperParameterTuningJobsResponse | |
| ListModelsInput | |
| ListModelsOutput | |
| ListNotebookInstanceLifecycleConfigsInput | |
| ListNotebookInstanceLifecycleConfigsOutput | |
| ListNotebookInstancesInput | |
| ListNotebookInstancesOutput | |
| ListTagsInput | |
| ListTagsOutput | |
| ListTrainingJobsForHyperParameterTuningJobRequest | |
| ListTrainingJobsForHyperParameterTuningJobResponse | |
| ListTrainingJobsRequest | |
| ListTrainingJobsResponse | |
| ListTransformJobsRequest | |
| ListTransformJobsResponse | |
| MetricDefinition | Specifies a metric that the training algorithm writes to |
| ModelArtifacts | Provides information about the location that is configured for storing model artifacts. |
| ModelSummary | Provides summary information about a model. |
| NotebookInstanceLifecycleConfigSummary | Provides a summary of a notebook instance lifecycle configuration. |
| NotebookInstanceLifecycleHook | Contains the notebook instance lifecycle configuration script. Each lifecycle configuration script has a limit of 16384 characters. The value of the View CloudWatch Logs for notebook instance lifecycle configurations in log group Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started. For information about notebook instance lifestyle configurations, see notebook-lifecycle-config. |
| NotebookInstanceSummary | Provides summary information for an Amazon SageMaker notebook instance. |
| ObjectiveStatusCounters | 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. |
| OutputDataConfig | Provides information about how to store model training results (model artifacts). |
| ParameterRanges | Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. |
| ProductionVariant | Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights. |
| ProductionVariantSummary | Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the |
| 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. |
| S3DataSource | Describes the S3 data source. |
| SageMakerClient | A client for the SageMaker API. |
| SecondaryStatusTransition | Specifies a secondary status the job has transitioned into. It includes a start timestamp and later an end timestamp. The end timestamp is added either after the job transitions to a different secondary status or after the job has ended. |
| StartNotebookInstanceInput | |
| StopHyperParameterTuningJobRequest | |
| StopNotebookInstanceInput | |
| StopTrainingJobRequest | |
| StopTransformJobRequest | |
| StoppingCondition | Specifies how long model training can run. When model training reaches the limit, Amazon SageMaker ends the training job. Use this API to cap model training cost. To stop a job, Amazon SageMaker sends the algorithm the Training algorithms provided by Amazon SageMaker automatically saves the intermediate results of a model training job (it is best effort case, as model might not be ready to save as some stages, for example training just started). This intermediate data is a valid model artifact. You can use it to create a model ( |
| Tag | Describes a tag. |
| TrainingJobStatusCounters | The numbers of training jobs launched by a hyperparameter tuning job, categorized by status. |
| TrainingJobSummary | Provides summary information about 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. |
| TransformJobSummary | Provides a summary information for a transform job. Multiple TransformJobSummary objects are returned as a list after calling ListTransformJobs. |
| TransformOutput | Describes the results of a transform job output. |
| TransformResources | Describes the resources, including ML instance types and ML instance count, to use for transform job. |
| TransformS3DataSource | Describes the S3 data source. |
| UpdateEndpointInput | |
| UpdateEndpointOutput | |
| UpdateEndpointWeightsAndCapacitiesInput | |
| UpdateEndpointWeightsAndCapacitiesOutput | |
| UpdateNotebookInstanceInput | |
| UpdateNotebookInstanceLifecycleConfigInput | |
| UpdateNotebookInstanceLifecycleConfigOutput | |
| UpdateNotebookInstanceOutput | |
| VpcConfig | Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see host-vpc and train-vpc. |
Enums
| AddTagsError | Errors returned by AddTags |
| CreateEndpointConfigError | Errors returned by CreateEndpointConfig |
| CreateEndpointError | Errors returned by CreateEndpoint |
| CreateHyperParameterTuningJobError | Errors returned by CreateHyperParameterTuningJob |
| CreateModelError | Errors returned by CreateModel |
| CreateNotebookInstanceError | Errors returned by CreateNotebookInstance |
| CreateNotebookInstanceLifecycleConfigError | Errors returned by CreateNotebookInstanceLifecycleConfig |
| CreatePresignedNotebookInstanceUrlError | Errors returned by CreatePresignedNotebookInstanceUrl |
| CreateTrainingJobError | Errors returned by CreateTrainingJob |
| CreateTransformJobError | Errors returned by CreateTransformJob |
| DeleteEndpointConfigError | Errors returned by DeleteEndpointConfig |
| DeleteEndpointError | Errors returned by DeleteEndpoint |
| DeleteModelError | Errors returned by DeleteModel |
| DeleteNotebookInstanceError | Errors returned by DeleteNotebookInstance |
| DeleteNotebookInstanceLifecycleConfigError | Errors returned by DeleteNotebookInstanceLifecycleConfig |
| DeleteTagsError | Errors returned by DeleteTags |
| DescribeEndpointConfigError | Errors returned by DescribeEndpointConfig |
| DescribeEndpointError | Errors returned by DescribeEndpoint |
| DescribeHyperParameterTuningJobError | Errors returned by DescribeHyperParameterTuningJob |
| DescribeModelError | Errors returned by DescribeModel |
| DescribeNotebookInstanceError | Errors returned by DescribeNotebookInstance |
| DescribeNotebookInstanceLifecycleConfigError | Errors returned by DescribeNotebookInstanceLifecycleConfig |
| DescribeTrainingJobError | Errors returned by DescribeTrainingJob |
| DescribeTransformJobError | Errors returned by DescribeTransformJob |
| ListEndpointConfigsError | Errors returned by ListEndpointConfigs |
| ListEndpointsError | Errors returned by ListEndpoints |
| ListHyperParameterTuningJobsError | Errors returned by ListHyperParameterTuningJobs |
| ListModelsError | Errors returned by ListModels |
| ListNotebookInstanceLifecycleConfigsError | Errors returned by ListNotebookInstanceLifecycleConfigs |
| ListNotebookInstancesError | Errors returned by ListNotebookInstances |
| ListTagsError | Errors returned by ListTags |
| ListTrainingJobsError | Errors returned by ListTrainingJobs |
| ListTrainingJobsForHyperParameterTuningJobError | Errors returned by ListTrainingJobsForHyperParameterTuningJob |
| ListTransformJobsError | Errors returned by ListTransformJobs |
| StartNotebookInstanceError | Errors returned by StartNotebookInstance |
| StopHyperParameterTuningJobError | Errors returned by StopHyperParameterTuningJob |
| StopNotebookInstanceError | Errors returned by StopNotebookInstance |
| StopTrainingJobError | Errors returned by StopTrainingJob |
| StopTransformJobError | Errors returned by StopTransformJob |
| UpdateEndpointError | Errors returned by UpdateEndpoint |
| UpdateEndpointWeightsAndCapacitiesError | Errors returned by UpdateEndpointWeightsAndCapacities |
| UpdateNotebookInstanceError | Errors returned by UpdateNotebookInstance |
| UpdateNotebookInstanceLifecycleConfigError | Errors returned by UpdateNotebookInstanceLifecycleConfig |
Traits
| SageMaker | Trait representing the capabilities of the SageMaker API. SageMaker clients implement this trait. |