With AWS SageMaker, is it possible to deploy a pre-trained model using the sagemaker SDK?
问题 I'm trying to avoid migrating an existing model training process to SageMaker and avoid creating a custom Docker container to host our trained model. My hope was to inject our existing, trained model into the pre-built scikit learn container that AWS provides via the sagemaker-python-sdk. All of the examples that I have found require training the model first which creates the model/model configuration in SageMaker. This is then deployed with the deploy method. Is it possible to provide a