source/lib/blueprints/byom/byom_batch_pipeline.py [79:92]:
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        )

        # create sagemaker model
        sagemaker_model = create_sagemaker_model(
            self,
            "MLOpsSagemakerModel",
            execution_role=sagemaker_role,
            model_registry_provided=model_registry_provided,
            algorithm_image_uri=algorithm_image_uri.value_as_string,
            assets_bucket_name=assets_bucket_name.value_as_string,
            model_artifact_location=model_artifact_location.value_as_string,
            model_package_name=model_package_name.value_as_string,
            model_name=model_name.value_as_string,
        )
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source/lib/blueprints/byom/realtime_inference_pipeline.py [105:118]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        )

        # create sagemaker model
        sagemaker_model = create_sagemaker_model(
            self,
            "MLOpsSagemakerModel",
            execution_role=sagemaker_role,
            model_registry_provided=model_registry_provided,
            algorithm_image_uri=algorithm_image_uri.value_as_string,
            assets_bucket_name=assets_bucket_name.value_as_string,
            model_artifact_location=model_artifact_location.value_as_string,
            model_package_name=model_package_name.value_as_string,
            model_name=model_name.value_as_string,
        )
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