fix: ignore private Automatic Model Tuning hyperparameter when attaching AlgorithmEstimator #1230
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chuyang-deng
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Jan 14, 2020
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benieric
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Jul 22, 2025
* feat: Queue and QueuedJob implementation for AWS Batch Service (aws#991) * fix: Update Batch endpoint; Function renaming (aws#1230) Co-authored-by: Jenna Zhao <[email protected]> * chore: minor formatting --------- Co-authored-by: haoxinwa <[email protected]> Co-authored-by: JennaZhao <[email protected]> Co-authored-by: Jenna Zhao <[email protected]> Co-authored-by: Gregory Katkov <[email protected]>
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Issue #, if available:
Description of changes:
SageMaker Automatic Model Tuning adds a private hyperparameter to all of its training jobs. This can cause an issue when attaching to a training job with the hyperparameter:
I tested this with KMeans, and the private hyperparameter is not included after attaching, so I've gone for the same approach with
AlgorithmEstimator.Testing done:
Tested manually by adapting the code from this notebook to create a training job to try attaching to.
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unique_name_from_baseto create resource names in integ tests (if appropriate)By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.