Examples with SageMakerClient software.amazon.awssdk.services.sagemaker.SageMakerClient used on opensource projects

Example 1 with SageMakerClient

use of software.amazon.awssdk.services.sagemaker.SageMakerClient in project aws-doc-sdk-examples by awsdocs.

the class ListAlgorithms method main.

public static void main(String[] args) {
    Region region = Region.US_WEST_2;
    SageMakerClient sageMakerClient = SageMakerClient.builder().region(region).build();
    listAlgs(sageMakerClient);
    sageMakerClient.close();
}

Example 2 with SageMakerClient

use of software.amazon.awssdk.services.sagemaker.SageMakerClient in project aws-doc-sdk-examples by awsdocs.

the class CreateTransformJob method main.

public static void main(String[] args) {
    final String usage = "\n" + "Usage:\n" + "    <s3Uri> <s3OutputPath> <modelName> <transformJobName>\n\n" + "Where:\n" + "    s3Uri - identifies the key name of an Amazon S3 object that contains the data (ie, s3://mybucket/churn.txt).\n\n" + "    s3OutputPath - the Amazon S3 location where the results are stored.\n\n" + "    modelName - the name of the model.\n\n" + "    transformJobName - the name of the transform job.\n\n";
    if (args.length != 4) {
        System.out.println(usage);
        System.exit(1);
    }
    String s3Uri = args[0];
    String s3OutputPath = args[1];
    String modelName = args[2];
    String transformJobName = args[3];
    Region region = Region.US_WEST_2;
    SageMakerClient sageMakerClient = SageMakerClient.builder().region(region).build();
    transformJob(sageMakerClient, s3Uri, s3OutputPath, modelName, transformJobName);
    sageMakerClient.close();
}

Example 3 with SageMakerClient

use of software.amazon.awssdk.services.sagemaker.SageMakerClient in project aws-doc-sdk-examples by awsdocs.

the class ListNotebooks method main.

public static void main(String[] args) {
    Region region = Region.US_WEST_2;
    SageMakerClient sageMakerClient = SageMakerClient.builder().region(region).build();
    listBooks(sageMakerClient);
    sageMakerClient.close();
}

Example 4 with SageMakerClient

use of software.amazon.awssdk.services.sagemaker.SageMakerClient in project aws-doc-sdk-examples by awsdocs.

the class CreateModel method main.

public static void main(String[] args) {
    final String USAGE = "\n" + "Usage:\n" + "    <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 (for example, xxxxx5047983.dkr.ecr.us-west-2.amazonaws.com/train).\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 (for example, arn:aws:iam::xxxxx5047983:role/service-role/AmazonSageMaker-ExecutionRole-20200627T12xxxx).\n\n";
    if (args.length != 4) {
        System.out.println(USAGE);
        System.exit(1);
    }
    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);
    sageMakerClient.close();
}

Example 5 with SageMakerClient

use of software.amazon.awssdk.services.sagemaker.SageMakerClient in project aws-doc-sdk-examples by awsdocs.

the class CreateTrainingJob method main.

public static void main(String[] args) {
    final String USAGE = "\n" + "Usage:\n" + "    <s3UriData> <s3Uri> <trainingJobName> <roleArn> <s3OutputPath> <channelName> <trainingImage>\n\n" + "Where:\n" + "    s3UriData - the location of the training data (for example, s3://trainbucket/train.csv).\n\n" + "    s3Uri - the Amazon S3 path where you want Amazon SageMaker to store checkpoints (for example, s3://trainbucket).\n\n" + "    trainingJobName - the name of the training job. \n\n" + "    roleArn - the Amazon Resource Name (ARN) of the IAM role that SageMaker uses.\n\n" + "    s3OutputPath - the output path located in an Amazon S3 bucket (for example, s3://trainbucket/sagemaker).\n\n" + "    channelName  - the channel name (for example, s3://trainbucket/sagemaker).\n\n" + "    trainingImage  - the training image (for example, 000007028032.bbb.zzz.us-west-2.amazonaws.com/xgboost:latest.\n\n";
    if (args.length != 7) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String s3UriData = args[0];
    String s3Uri = args[1];
    String trainingJobName = args[2];
    String roleArn = args[3];
    String s3OutputPath = args[4];
    String channelName = args[5];
    String trainingImage = args[6];
    Region region = Region.US_WEST_2;
    SageMakerClient sageMakerClient = SageMakerClient.builder().region(region).build();
    trainJob(sageMakerClient, s3UriData, s3Uri, trainingJobName, roleArn, s3OutputPath, channelName, trainingImage);
    sageMakerClient.close();
}