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feat: Adds support for Placeholders in TrainingStep to set S3 location for InputDataConfig and OutputDataConfig#142
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…propagate to Estimator
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wong-a left a comment• edited by ca-nguyen
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edited by ca-nguyen
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Almost there! Remaining items:
- Update name of
output_pathargument to not clash with existingoutput_pathforTask - Comment and variable naming improvements
- Unit tests
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Co-authored-by: Adam Wong <55506708+wong-a@users.noreply.github.com>
…ub.com/ca-nguyen/aws-step-functions-data-science-sdk-python into training-step-with-dynamic-output-path
…emoved unused imports
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src/stepfunctions/steps/sagemaker.py Outdated
| fromenumimportEnum | ||
| fromstepfunctions.inputsimportExecutionInput,StepInput | ||
| importlogging |
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To be removed in next commit
StepFunctions-Bot commentedJun 19, 2021
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bump for `v2.2.0` which includes the following changes:Features* Placeholders in TrainingStep to set S3 location for InputDataConfig and OutputDataConfig (#142)* EventBridge service integration (#147)Fixes* supplying hyperparameters to training step constructor drops hyperparameters specified in estimator (#144)
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Issue #, if available:#98,#97,#80
Description of changes:
Currently, it is not possible to specify the output path to TrainingStep. It needs to be defined at the Estimator level, which does not support placeholders. This change will make it possible to insert a placeholder output path from the TrainingStep definition and propagate it dynamically to the Estimator.
This change change also makes the TrainingStep data parameter compatible with placeholders.
There are other feature requests to make other TrainingStep arguments and ProcessingStep arguments compatible with placeholders. They will be addressed in a separate PR where the implementation could maybe be done at a higher level to avoid repetition.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.