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Hello Norbert,
I believe you are referring here the SageMaker pipelines and how that can be incorporated with the Hyper parameter turning. (Please correct me otherwise.)
Following notebook provides and example of how a Hyperparameter Tuning Job can be run as a step in a SageMaker Pipeline.
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@Shamika-AWS
Again, thanks for your answer, but after study it turns out that you are speaking about "Sagemaker Workflow Pipelines", while I need hyper-parameter tuning for models created via sagemaker.pipeline.ModelPipeline
Do you have any suggestion concerning hyperparameter tuning of modelpipelines?
回答済み 2年前
Hi thanks for your comment and the link! Yes, we want to combine our own feature extraction algorithm (container based) with a standard classification system, plug them together via a sagemaker pipeline, and the do hyperparameter tuning across the whole.
We will look into the provided sagemaker notebook.
Thanks again
Norbert