aws-step-functions-data-science-sdk-python
aws-step-functions-data-science-sdk-python copied to clipboard
aws
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
Really appreciate the work going into this lib. One feature that seems like it could contribute a lot of value is integration with cloudwatch events. For instance, it is common...
I've been a long-time advocate of JupyterLab over plain Jupyter, but this is becoming even more relevant with the growing & maturing of SageMaker Studio's features since 2019... Is any...
It only has "BestTrainingJobName". As a result, user have to use LambdaStep to grab the hyper-parameter of the "BestTrainingJob". Why not include it in the `output` of TuningStep to pass...
Hi all, I was wondering whether it is possible to change the logging configuration when creating/updating a state machine. From my current understanding the loggging configuration is set to default:...
## Release of StepFunctions Python SDK Version 2 and support timeline for Version 1 With Python 2 having reached End of Life on January 1, 2020 and the release of...
This is a separate issue created from the discussion by @nsankar addressed to @wong-a from the issue id #31 The key point is which are the common SFN and AWS...
The ModelDataUrl in the Step Functions' defenition is '“ModelDataUrl.$“: “$[‘ModelArtifacts’][‘S3ModelArtifacts’]”' even though the result_path is defined in the TrainingStep, and it causes error like this. > “An error occurred while...
While creating the Sagemaker training step I have fix the output path location and ECR Image for all the executions. Is there a way we can pass the model output...
- sagemaker contrainer : conda_pytorch_p36 - estimator mode : 'script mode' While it is a MUST param that I have to give a name for `TrainingJobName` from step functions for...
I would like to know how to pause the step function while waiting for the endpoint to be created? `EndpointStep`
