Amazon SageMaker

Supported Labeling Types: Row labeling

Integrate your Amazon SageMaker Inference Endpoint effortlessly with Datasaur. Utilize Datasaur's ML-assisted labeling to access and leverage your deployed Amazon SageMaker Inference Endpoint for data labeling.

Setup Datasaur ML Assisted Extension

Please ensure you have access to our ML-assisted labeling extension with Amazon SageMaker as a provider.

1. Create a custom project for row labeling

2. Click the gear icon from the extension panel to open the Manage extensions dialog.

3. Enable the ML-assisted labeling extension.

Manage Extension Pop Up

1. ML-assisted labeling is now enabled. Select Amazon SageMaker as the provider.

ML-assisted labeling with Amazon SageMaker

Setup Role in AWS Identity and Access Management (IAM)

Before we start to create Role in the IAM page, please create these policies first for your permissions when creating a new Role.

1. Go to your IAM page, navigate to the Policies section, and then create a new policy.

2. You can download the examples below.

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sagemaker-s3-specific-permissions.txt

Open

Now you can continue to create a new Role with the policy.

1. Go to the IAM page and navigate to the Roles section

2. Click on Create Roles then select AWS account as the role type and insert the Account ID and External ID. These values are automatically generated within the ML-assisted labeling extension and can be copied and pasted into the AWS platform.

Select trusted entity

1. On the Add permissions step, search the policy you created before. Add them to the permissions.

2. Provide a role name and click Create role and you can check the trusted policies config below

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trust-policies.txt

Open

1. The role will be created successfully.

2. View your role and copy the Role ARN.

1. Paste this information into the ML-assisted labeling extension.

2. Navigate to the Amazon SageMaker page and retrieve the Endpoint ARN. Copy the obtained Endpoint ARN and paste it into the extension.

Endpoint details

Start Prediction

After setting up the above options, simply click Predict labels to start predicting and obtaining labels from your Amazon SageMaker endpoint.

Prediction appears