Examples with PersonalizeClient software.amazon.awssdk.services.personalize.PersonalizeClient used on opensource projects

Example 11 with PersonalizeClient

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

the class ListCampaigns method main.

public static void main(String[] args) {
    final String USAGE = "\n" + "Usage:\n" + "    ListCampaigns <solutionArn>\n\n" + "Where:\n" + "    solutionArn - The ARN of the solution.\n\n";
    if (args.length != 1) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String solutionArn = args[0];
    Region region = Region.US_EAST_1;
    PersonalizeClient personalizeClient = PersonalizeClient.builder().region(region).build();
    listAllCampaigns(personalizeClient, solutionArn);
    personalizeClient.close();
}

Example 12 with PersonalizeClient

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

the class CreateBatchInferenceJob method main.

public static void main(String[] args) {
    final String USAGE = "\n" + "Usage:\n" + "    CreateDatasetImportJob <solutionVersionArn, jobName, roleArn, s3DataSource, s3DataDestination, explorationWeight," + "explorationItemAgeCutOff>\n\n" + "Where:\n" + "    solutionVersionArn - The Amazon Resource Name (ARN) of the solution version you want to use.\n" + "    jobName - The name for the batch inference job.\n" + "    s3InputDataSource - The path to the Amazon S3 bucket where your input list of users or items is stored.\n" + "    s3DataDestination - The path to the Amazon S3 bucket where Amazon Personalize will output the " + "batch recommendations.\n" + "    roleArn - The ARN of the IAM service-linked role that" + "" + "has permissions to add data to your output Amazon S3 bucket.\n" + "" + "   explorationWeight - A User-Personalization recipe specific field that specifies how " + "much to explore (how often to include new items in recommendations)\n" + "    explorationItemAgeCutOff - A User-Personalization recipe specific field that defines " + "what Amazon Personalize considers a new item in exploration.\n\n";
    // If omitting User-Personalization exploration fields, change from 7 to 5.
    if (args.length != 7) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String solutionVersionArn = args[0];
    String jobName = args[1];
    String s3InputDataSource = args[2];
    String s3DataDestination = args[3];
    String roleArn = args[4];
    String explorationWeight = args[5];
    String explorationItemAgeCutOff = args[6];
    // Change to the region where your Amazon Personalize resources are located
    Region region = Region.US_WEST_2;
    PersonalizeClient personalizeClient = PersonalizeClient.builder().region(region).build();
    String batchInferenceJobArn = createPersonalizeBatchInferenceJob(personalizeClient, solutionVersionArn, jobName, s3InputDataSource, s3DataDestination, roleArn, explorationWeight, explorationItemAgeCutOff);
    System.out.println("Batch inference job ARN: " + batchInferenceJobArn);
    personalizeClient.close();
}

Example 13 with PersonalizeClient

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

the class CreateDataset method main.

public static void main(String[] args) {
    final String USAGE = "Usage:\n" + "    CreateDataset <datasetName, dataset group arn, dataset type, schema arn>\n\n" + "Where:\n" + "   name - The name for the dataset.\n" + "   dataset group arn - The Amazon Resource Name (ARN) for the dataset group.\n" + "   dataset type - The type of dataset (INTERACTIONS, USERS, or ITEMS).\n" + "   schema arn - The ARN for the dataset's schema.\n\n";
    if (args.length != 4) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String datasetName = args[0];
    String datasetGroupArn = args[1];
    String datasetType = args[2];
    String schemaArn = args[3];
    // Change to the region where your resources are located
    Region region = Region.US_WEST_2;
    PersonalizeClient personalizeClient = PersonalizeClient.builder().region(region).build();
    String datasetArn = createDataset(personalizeClient, datasetName, datasetGroupArn, datasetType, schemaArn);
    System.out.println("Dataset ARN: " + datasetArn);
    personalizeClient.close();
}

Example 14 with PersonalizeClient

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

the class CreateEventTracker method main.

public static void main(String[] args) {
    final String USAGE = "Usage:\n" + "    CreateDatasetGroup <name, datasetGroupArn>\n\n" + "Where:\n" + "   datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that receives the event data\n" + "   name - The name for the event tracker.\n\n";
    if (args.length != 2) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String datasetGroupArn = args[0];
    String eventTrackerName = args[1];
    Region region = Region.US_WEST_2;
    PersonalizeClient personalizeClient = PersonalizeClient.builder().region(region).build();
    String trackerId = createEventTracker(personalizeClient, eventTrackerName, datasetGroupArn);
    System.out.println(trackerId);
    personalizeClient.close();
}

Example 15 with PersonalizeClient

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

the class CreateSchema method main.

public static void main(String[] args) {
    final String USAGE = "Usage:\n" + "    CreateSchema <name, schemaLocation>\n\n" + "Where:\n" + "   name - The name for the schema.\n" + "   schemaLocation - the location of the schema JSON file.\n\n";
    if (args.length != 2) {
        System.out.println(USAGE);
        System.exit(1);
    }
    String schemaName = args[0];
    String filePath = args[1];
    Region region = Region.US_WEST_2;
    PersonalizeClient personalizeClient = PersonalizeClient.builder().region(region).build();
    createSchema(personalizeClient, schemaName, filePath);
    personalizeClient.close();
}