Releases: awslabs/mlmax
Releases · awslabs/mlmax
v0.2.0
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
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).