AWS Step Functions Data Science SDK Files

For building machine learning (ML) workflows and pipelines on AWS

This is an exact mirror of the AWS Step Functions Data Science SDK project, hosted at https://github.com/aws/aws-step-functions-data-science-sdk-python. SourceForge is not affiliated with AWS Step Functions Data Science SDK. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2022-01-21	839 Bytes	0
v2.3.0.tar.gz	2022-01-21	39.6 MB	0
v2.3.0.zip	2022-01-21	39.6 MB	0
Totals: 3 Items		79.2 MB	0

Features

Support placeholders for:
- TransformStep (#157)
- Processing Step (#155)
- Tuning Step (#173)
Add custom description for CloudFormation template (#161)
Support for following service integrations:
- AWS Step Functions service integration (#166)
- AWS Glue Databrew service integration (#176)
- Amazon EKS service integration (#177)

Fixes

Placeholder hyperparameters passed to TrainingStep are overwritten (#152 )
Environment variables are overwritten and not passed through to SageMaker ModelStep (#160)
Environment variables defined in the Estimator are not translated to Model when calling TrainingStep.get_expected_model (#160)
Retrier and Catcher passed to constructor for Task, Parallel and Map states are not added to the state's Retriers and Catchers (#169)

Source: README.md, updated 2022-01-21

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