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Releases: awslabs/mlmax

v0.2.0

06 Apr 06:34
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Data Module and Environment Enhancement

  • Initial Release of Data Module to generate data pipelines. It supports:
    • Pyspark Sagemaker Processing jobs
    • Schedule the data pipeline to hourly, daily, weekly or custom intervals
    • The ability to specify the bucket where the data is read/written to at runtime.
  • Environment module enhancement with internet option.

Contributors to this Release

Yin Song (@yinsong1986), Wei Yih Yap (@yihyap), Kian Ho (@kianho), Chen Wu (@chenwuperth), Josiah Davis (@josiahdavis), Verdi March (@verdimrc).

v0.1.0

19 Feb 06:39
5ed49e2
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Initial Release

  • Training and Inference Pipeline with SageMaker and Step Functions.
  • Environment module with EC2 instance, SageMaker notebook, S3 bucket, and VPC.
  • Utilities for notebook configuration and checking the environment setup.
  • Documentation and unit testing.

Contributors to this Release

Yin Song (@yinsong1986), Chen Wu (@chenwuperth), Wei Yih Yap (@yihyap), Verdi March (@verdimrc), Josiah Davis (@josiahdavis).