With an sagemaker.estimator.Estimator
, I want to re-deploy a model after retraining (calling fit
with new data).
When I call this
estimator.deploy(initial_instance_count=1, instance_type='ml.m5.xlarge')
I get an error
botocore.exceptions.ClientError: An error occurred (ValidationException)
when calling the CreateEndpoint operation:
Cannot create already existing endpoint "arn:aws:sagemaker:eu-east-
1:1776401913911:endpoint/zyx".
Apparently I want to use functionality like UpdateEndpoint. How do I access that functionality from this API?
Yes, under the hood the model.deploy
creates a model, an endpoint configuration and an endpoint. When you call again the method from an already-deployed, trained estimator it will create an error because a similarly-configured endpoint is already deployed. What I encourage you to try:
use the update_endpoint=True
parameter. From the SageMaker SDK doc:
"Additionally, it is possible to deploy a different endpoint configuration, which links to your model, to an already existing
SageMaker endpoint. This can be done by specifying the existing
endpoint name for the endpoint_name
parameter along with the
update_endpoint
parameter as True within your deploy()
call."
Alternatively, if you want to create a separate model you can specify a new model_name
in your deploy
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