Keep sagemaker notebook up during model training?

0

I start a training job from a sagemaker notebook using boto3.client():

client = boto3.client(service_name='sagemaker') client.create_training_job(**training_params)

I see the training job in progress on the console. Is it then an error to stop and delete the notebook even if the model has not finished training?

fascani
已提問 1 年前檢視次數 395 次
1 個回答
1
已接受的答案

Hi @fascani, no, once the training job has been created, you don't need to keep the notebook running. You can continue other explorations/model building on the notebook, check the progress of the training job using APIs, but that's not required.

AWS
Durga_S
已回答 1 年前
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