These examples demonstrate how to perform several Amazon SageMaker (SageMaker) operations using the developer preview version of the AWS SDK for Rust.
SageMaker is a fully managed machine learning service that you can use to quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
- List your training jobs (ListTrainingJobs)
- Lists your notebook instances (ListNotebookInstances)
- We recommend that you grant this code least privilege, or at most the minimum permissions required to perform the task. For more information, see Grant Least Privilege in the AWS Identity and Access Management User Guide.
- This code has not been tested in all AWS Regions. Some AWS services are available only in specific Regions.
- Running this code might result in charges to your AWS account.
You must have an AWS account, and have configured your default credentials and AWS Region as described in https://github.com/awslabs/aws-sdk-rust.
This example lists your SageMaker training jobs in the Region.
cargo run --bin list-training-jobs -- [-r REGION] [-v]
- REGION is the Region in which the client is created. If not supplied, uses the value of the AWS_REGION environment variable. If the environment variable is not set, defaults to us-west-2.
- -v displays additional information.
This example lists the name, status, and type of your SageMaker instances in the Region.
cargo run --bin sagemaker-helloworld -- [-r REGION] [-v]
- REGION is the Region in which the client is created. If not supplied, uses the value of the AWS_REGION environment variable. If the environment variable is not set, defaults to us-west-2.
- -v displays additional information.
- AWS SDK for Rust repo
- AWS SDK for Rust API Reference for Amazon SageMaker
- AWS SDK for Rust API Reference Guide
To propose a new code example to the AWS documentation team, see CONTRIBUTING.md. The team prefers to create code examples that show broad scenarios rather than individual API calls.
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0