SageMaker code examples for the SDK for SAP ABAP

Overview

Shows how to use the AWS SDK for SAP ABAP to work with Amazon SageMaker.

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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 and Free Tier.
• 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.
• This code is not tested in every AWS Region. For more information, see AWS Regional Services.

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Code examples

Prerequisites

For prerequisites, see the README in the sap-abap folder.

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Single actions

Code excerpts that show you how to call individual service functions.

• CreateEndpoint
• CreateModel
• CreateTrainingJob
• CreateTransformJob
• DeleteEndpoint
• DeleteModel
• DescribeTrainingJob
• ListAlgorithms
• ListModels
• ListNotebookInstances
• ListTrainingJobs

Scenarios

Code examples that show you how to accomplish a specific task by calling multiple functions within the same service.

• Get started with models and endpoints

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Run the examples

Instructions

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Get started with models and endpoints

This example shows you how to do the following:

• Start a training job and create a SageMaker model.
• Create an endpoint configuration.
• Create an endpoint, then clean up resources.

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Tests

⚠ Running tests might result in charges to your AWS account.

To find instructions for running these tests, see the README in the sap-abap folder.

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Additional resources

• SageMaker Developer Guide
• SageMaker API Reference
• SDK for SAP ABAP SageMaker reference

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SPDX-License-Identifier: Apache-2.0