History

Kartik Kalamadi 079eea369a fix(components): Print logs for AWS SageMaker components (#4879 ) * Print logs for Processing and Batch Transform * Change image in yamls * Add unit tests for cw calls * update version in license file to 1.1.1 * generate yaml for the new version * update changelog		2021-02-23 19:19:14 -08:00
..
src	refactor(components): AWS SageMaker - Full component refactoring (#4336 )	2020-10-27 14:17:57 -07:00
README.md	feat(components): AWS SageMaker - Support for assuming a role (#4212 )	2020-08-03 10:53:43 -07:00
component.yaml	fix(components): Print logs for AWS SageMaker components (#4879 )	2021-02-23 19:19:14 -08:00

SageMaker create private workteam Kubeflow Pipelines component

Summary

Component to submit SageMaker create private workteam jobs directly from a Kubeflow Pipelines workflow.

For creating a private workteam from pre-existing Amazon Cognito user groups using AWS SageMaker.

Argument	Description	Optional	Data type	Default
region	The region where the cluster launches	No	String
endpoint_url	The endpoint URL for the private link VPC endpoint	Yes	String
assume_role	The ARN of an IAM role to assume when connecting to SageMaker	Yes	String
team_name	The name of your work team	No	String
description	A description of the work team	No	String
user_pool	An identifier for a user pool, which must be in the same region as the service that you are calling	No	String
user_groups	An identifier for user groups separated by commas	No	String
client_id	An identifier for an application client, which you must create using Amazon Cognito	No	String
sns_topic	The AWS KMS key that Amazon SageMaker uses to encrypt the model artifacts	Yes	String
tags	Key-value pairs to categorize AWS resources	Yes	Dict	{}

Notes:

Workers in private workteams per account and region may come from only one Amazon Cognito user pool. However, you may have several user groups within the user pool to define different workteams.
Your Amazon Cognito user pool must be in the same region that you are creating the Ground Truth job in.

Name	Description
workteam_arn	ARN of the workteam

Kubeflow pipelines SDK
Kubeflow set-up on AWS
User pool, user groups, and app client ID set up on Amazon Cognito
1. Create a user pool in Amazon Cognito. Configure the user pool as needed, and make sure to create an app client. The Pool ID will be found under General settings.
2. After creating the user pool, go to the Users and Groups section and create a group. Create users for the team, and add those users to the group.
3. Under App integration > Domain name, create an Amazon Cognito domain for the user pool.