Create a model

In the Amazon SageMaker AI console, select Deployments & inference -> Deployable models from the left menu, and then select Create model.

Enter a model name, such as xgboost-bank, and select the IAM role created or used for the training job.

Under Container definition 1, configure the following:

• For Container input options, select Provide model artifacts and inference image location.
• Select Use a single model.
• For Location of inference code image, enter the XGBoost 1.3-1 inference image URI for your AWS Region. For information about retrieving an XGBoost image URI, see How to use SageMaker AI XGBoost.
• For Location of model artifacts, enter the complete Amazon S3 path to the model artifact generated by the training job:

<output-path>/<training-job-name>/output/model.tar.gz

• For Model compression type, select CompressedModel.