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This repository was archived by the owner on Dec 30, 2024. It is now read-only.

Releases: aws-solutions/discovering-hot-topics-using-machine-learning

v1.3.0

24 Nov 21:05

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Changed

  • Implementation to refactor and to reuse the following architecture patterns from AWS Solutions Constructs
    • aws-kinesisfirehose-s3
    • aws-kinesisstreams-lambda
    • aws-lambda-step-function

Updated

  • The join condition for Topic Modeling in Amazon QuickSight dataset to provide accurate topic identification for a specific run
  • ID and name generation for Amazon QuickSigh resource to use dynamic value based on the stack name
  • AWS CDK version to 1.73.0
  • AWS SDK version to 2.790.0

Refer to changelog for more information.

v1.2.0

29 Oct 20:55

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Added

  • New and simplified interactive Amazon QuickSight dashboard that is now automatically generated through an AWS CloudFormation deployment and that customers can extend to suit their business case

Updated

  • Updated to AWS CDK v1.69.0
  • Consolidate Amazon S3 access Log bucket across the solution. All access log files have a prefix that corresponds to the bucket for which they are generated

See changelog for more information.

v1.1.0

29 Sep 17:45

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Updated

  • S3 storage for inference outputs to use Apache Parquet
  • Add paritioning to AWS Glue tables
  • Update to CDK v1.63.0
  • Update to AWS SDK v2.755.0

See changelog for more information.

v1.0.0

31 Aug 15:49

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  • Initial release

See changelog for more information.