# SageMaker code examples for the SDK for JavaScript (v3) ## Overview Shows how to use the AWS SDK for JavaScript (v3) to work with Amazon SageMaker. _SageMaker is a fully managed machine learning service._ ## ⚠ Important - Running this code might result in charges to your AWS account. For more details, see [AWS Pricing](https://aws.amazon.com/pricing/?aws-products-pricing.sort-by=item.additionalFields.productNameLowercase&aws-products-pricing.sort-order=asc&awsf.Free%20Tier%20Type=*all&awsf.tech-category=*all) and [Free Tier](https://aws.amazon.com/free/?all-free-tier.sort-by=item.additionalFields.SortRank&all-free-tier.sort-order=asc&awsf.Free%20Tier%20Types=*all&awsf.Free%20Tier%20Categories=*all). - Running the tests might result in charges to your AWS account. - We recommend that you grant your code least privilege. At most, grant only the minimum permissions required to perform the task. For more information, see [Grant least privilege](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#grant-least-privilege). - This code is not tested in every AWS Region. For more information, see [AWS Regional Services](https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services). ## Code examples ### Prerequisites For prerequisites, see the [README](../../README.md#Prerequisites) in the `javascriptv3` folder. ### Get started - [Hello SageMaker](hello.js#L8) (`ListNotebookInstances`) ### Single actions Code excerpts that show you how to call individual service functions. - [Create a pipeline](scenarios/wkflw-sagemaker-geospatial-pipeline/lib.js#L368) (`CreatePipeline`) - [Delete a pipeline](scenarios/wkflw-sagemaker-geospatial-pipeline/lib.js#L403) (`DeletePipeline`) - [Describe a pipeline execution](scenarios/wkflw-sagemaker-geospatial-pipeline/lib.js#L594) (`DescribePipelineExecution`) - [Execute a pipeline](scenarios/wkflw-sagemaker-geospatial-pipeline/lib.js#L509) (`StartPipelineExecution`) ### Scenarios Code examples that show you how to accomplish a specific task by calling multiple functions within the same service. - [Get started with geospatial jobs and pipelines](scenarios/wkflw-sagemaker-geospatial-pipeline/lib.js) ## Run the examples ### Instructions **Note**: All code examples are written in ECMAscript 6 (ES6). For guidelines on converting to CommonJS, see [JavaScript ES6/CommonJS syntax](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sdk-examples-javascript-syntax.html). **Run a single action** ```bash node ./actions/ ``` **Run a scenario** Most scenarios can be run with the following command: ```bash node ./scenarios/ ``` #### Hello SageMaker This example shows you how to get started using SageMaker. ```bash node ./hello.js ``` #### Get started with geospatial jobs and pipelines This example shows you how to do the following: - Set up resources for a pipeline. - Set up a pipeline that executes a geospatial job. - Start a pipeline execution. - Monitor the status of the execution. - View the output of the pipeline. - Clean up resources. Run the scenario: ```bash cd wkflw-sagemaker-geospatial-pipeline node index.js ``` ### Tests ⚠ Running tests might result in charges to your AWS account. To find instructions for running these tests, see the [README](../../README.md#Tests) in the `javascriptv3` folder. ## Additional resources - [SageMaker Developer Guide](https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html) - [SageMaker API Reference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html) - [SDK for JavaScript (v3) SageMaker reference](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker) --- Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0