Releases: aws-solutions/maintaining-personalized-experiences-with-machine-learning
Releases · aws-solutions/maintaining-personalized-experiences-with-machine-learning
v1.4.5
v1.4.4
[1.4.4] - 2023-10-13
Changed
- Upgrade avro to 1.11.3
v1.4.3
[1.4.3] - 2023-10-12
Changed
- Upgrade aws-cdk to 2.88.0
- Upgrade deprecated methods in App-registry
- Address or Fix all SonarQube issues
v1.4.2
Changed
- Upgraded requests to 2.31.0 that addresses the unintended leak of proxy-authorization header in requests.
- Added supporting library (urllib3).
v1.4.1
v1.4.0
Changed
- Python library updates
- Upgraded Python runtime to 3.9
- Using
performAutoML
field in creating solutions now logs error, but proceeds to build the solution. This field is deprecated by the service.
Added
- Github issue #16
tags
are supported for all component types, for example, dataset group, import jobs, solutions, etc. Root-level tags are also supported in the config. - "UPDATE" model training is supported for input solutions trained with the User-Personalization recipe or the HRNN-Coldstart recipe.
v1.3.1
Fixed
- GitHub issue #19. This fix prevents AWS Service Catalog AppRegistry Application Name and Attribute Group Name from using a string that begins with
AWS
, since strings begining withAWS
are considered as reserved words by the AWS Service.
Changed
- Locked
boto3
to version1.25.5
, and upgraded python library packages.
v1.3.0
Added
- Service Catalog AppRegistry resource to register the CloudFormation template and underlying resources as an application in both Service Catalog AppRegistry and AWS Systems Manager Application Manager
Changed
- Upgraded CDK version to 2.44.0
v1.2.0
Added
- The solution now supports batch segment jobs to get user segments with your solution version. Each user segment is
sorted in descending order based on the probability that each user will interact with items in your inventory. - The solution now supports domain dataset groups.
Changed
- Upgraded to CDKv2.
v1.1.0
Added
- The solution now creates an Amazon EventBridge event bus, and puts messages to the bus when resources have been
created by the workflow. This can be useful when integrating with external systems. - The solution now contains a command line interface (CLI) that allows schedule creation for existing resources in
Amazon Personalize.
Refer to changelog for more information.