- AWS Code Sample demonstrates how to create a model in Amazon SageMaker.

/* * Copyright, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * * * or in the "license" file accompanying this file. This file is distributed * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either * express or implied. See the License for the specific language governing * permissions and limitations under the License. */ package com.example.sage; import; import; import; import; import; import; import; public class CreateModel { public static void main(String[] args) { final String USAGE = "\n" + "Usage:\n" + " CreateModel <dataUrl> <image> <modelName><executionRoleArn>\n\n" + "Where:\n" + " dataUrl - The Amazon S3 path where the model artifacts, which result from model training, are stored.\n\n" + " image - The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored (i.e.,\n\n" + " modelName - The name of the model.\n\n" + " executionRoleArn - The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts (i.e., arn:aws:iam::000555047983:role/service-role/AmazonSageMaker-ExecutionRole-20200627T12xxxx).\n\n"; if (args.length < 4) { System.out.println(USAGE); System.exit(1); } /* Read the name from command args */ String dataUrl = args[0]; String image = args[1]; String modelName = args[2]; String executionRoleArn = args[3]; Region region = Region.US_WEST_2; SageMakerClient sageMakerClient = SageMakerClient.builder() .region(region) .build(); createSagemakerModel(sageMakerClient, dataUrl, image, modelName, executionRoleArn); } public static void createSagemakerModel(SageMakerClient sageMakerClient, String dataUrl, String image, String modelName, String executionRoleArn) { try { ContainerDefinition containerDefinition = ContainerDefinition.builder() .modelDataUrl(dataUrl) .image(image) .mode(ContainerMode.SINGLE_MODEL) .build(); CreateModelRequest modelRequest = CreateModelRequest.builder() .modelName(modelName) .executionRoleArn(executionRoleArn) .primaryContainer(containerDefinition) .build() ; CreateModelResponse response = sageMakerClient.createModel(modelRequest); System.out.println("The ARN of the model is " +response.modelArn() ); } catch (SageMakerException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }

Sample Details

Service: SageMaker

Last tested: 8/18/2020

Author: scmacdon AWS

Type: full-example