Updating an Amazon Personalize metric attribution - Amazon Personalize
Updating a metric attribution (console)Updating a metric attribution (Amazon CLI)Updating a metric attribution (Amazon SDK)
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Updating an Amazon Personalize metric attribution

When you update a metric attribution, you can add and remove metrics and modify its output configuration. You can update a metric attribution with the Amazon Personalize console, Amazon Command Line Interface, or Amazon SDKS.

Updating a metric attribution (console)

To update a metric attribution with the Amazon Personalize console, you make your changes on the Metric attribution page.

To update a metric attribution

  1. Open the Amazon Personalize console at https://console.amazonaws.cn/personalize/home and sign into your account.

  2. Choose your dataset group.

  3. In the navigation pane, choose Metric attribution.

  4. In the bottom section, choose the Metric attributes tab or Metric attribution configuration tab to start making changes.

    • To add or remove metrics, choose the Metric attributes tab and choose Edit attributes. Make your changes on the Edit metric attributes page and choose Update to save your changes.

    • To make changes to the Amazon S3 output bucket or IAM service role, choose the Edit metric attribution configuration tab and make changes on the Edit attribution configuration page. Choose Update to save your changes.

Updating a metric attribution (Amazon CLI)

After you create a metric attribution, you can use the Amazon Command Line Interface (Amazon CLI) to add and remove metrics and modify its output configuration. The following code shows how to remove metrics with the update-metric-attribution command:

aws personalize update-metric-attribution \
--metric-attribution-arn metric attribution arn \
--remove-metrics metricName1 metricName2

The following code shows how to add an additional metric and specify a new output configuration:

aws personalize update-metric-attribution \
--metric-attribution-arn metric attribution arn \
--metrics-output-config "{\"roleArn\": \"new role ARN\", \"s3DataDestination\":{\"kmsKeyArn\":\"kms key ARN\",\"path\":\"s3://new-bucket-name/new-folder-name/\"}}" \
--add-metrics "[{
  \"eventType\": \"event type\",
  \"expression\": \"SUM(DatasetType.COLUMN_NAME)\",
  \"metricName\": \"metric name\"
}]"

If successful, Amazon Personalize returns the ARN of the metric attribution you updated. For a complete listing of all parameters, see UpdateMetricAttribution.

Updating a metric attribution (Amazon SDK)

After you create a metric attribution, you can add or remove metrics and modify its output configuration. The following code shows how to remove metrics from a metric attribution.

SDK for Python (Boto3)
import boto3
            
personalize = boto3.client('personalize')

metricsToRemove = ["metricName1", "metricName2"]
            
response = personalize.update_metric_attribution(
  metricAttributionArn = "metric attribution ARN",
  removeMetrics = metricsToRemove
)
SDK for Java 2.x
public static void removeMetrics(PersonalizeClient client,
                                 String metricAttributionArn,
                                 String metric1Name,
                                 String metric2Name) {

    ArrayList<String> metricsToRemove = new ArrayList<>(Arrays.asList(metric1Name, metric2Name));
    
    try {
    
        UpdateMetricAttributionRequest request = UpdateMetricAttributionRequest.builder()
                .metricAttributionArn(metricAttributionArn)
                .removeMetrics(metricsToRemove)
                .build();
                
        UpdateMetricAttributionResponse response = client.updateMetricAttribution(request);
        System.out.println(response);
        
    } catch (PersonalizeException e) {
        System.out.println(e.awsErrorDetails().errorMessage());
    }
}
SDK for JavaScript v3
// Get service clients and commands using ES6 syntax.
import {UpdateMetricAttributionCommand, PersonalizeClient } from
  "@aws-sdk/client-personalize";

// create personalizeClient
const personalizeClient = new PersonalizeClient({
  region: "REGION"
});

// set the update request param
export const updateMetricAttributionParam = {
  metricAttributionArn: "METRIC_ATTRIBUTION_ARN",    /* required */
  removeMetrics: ["METRIC_NAME_1", "METRIC_NAME_2"]    /* specify list of names of metrics to delete */
};
export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new UpdateMetricAttributionCommand(updateMetricAttributionParam)
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

The following code shows how to add an additional metric and specify a new output configuration:

SDK for Python (Boto3)
import boto3

personalize = boto3.client('personalize')

newMetrics = [{ 
      "eventType": "event type",
      "expression": "SUM(DatasetType.COLUMN_NAME)",
      "metricName": "metric name"
}]

newOutputConfig = {
  "roleArn": "Amazon Personalize service role ARN", 
  "s3DataDestination": {
    "kmsKeyArn": "key ARN", 
    "path": "s3://<name of your S3 bucket>/<folder>"
  }
}

response = personalize.update_metric_attribution(
  metricAttributionArn = "metric attribution arn",
  metricsOutputConfig = newOutputConfig,
  addMetrics = newMetrics
)
SDK for Java 2.x
public static void addMetricsAndUpdateOutputConfig(PersonalizeClient personalizeClient,
                                                String metricAttributionArn,
                                                String newMetric1EventType,
                                                String newMetric1Expression,
                                                String newMetric1Name,
                                                String newMetric2EventType,
                                                String newMetric2Expression,
                                                String newMetric2Name,
                                                String roleArn,
                                                String s3Path,
                                                String kmsKeyArn) {
    try {
    
        MetricAttribute newAttribute = MetricAttribute.builder()
                .eventType(newMetric1EventType)
                .expression(newMetric1Expression)
                .metricName(newMetric1Name)
                .build();
                
        MetricAttribute newAttribute2 = MetricAttribute.builder()
                .eventType(newMetric2EventType)
                .expression(newMetric2Expression)
                .metricName(newMetric2Name)
                .build();

        ArrayList<MetricAttribute> newAttributes = new ArrayList<>(Arrays.asList(newAttribute, newAttribute2));

        S3DataConfig newDataDestination = S3DataConfig.builder()
                .kmsKeyArn(kmsKeyArn)
                .path(s3Path)
                .build();

        MetricAttributionOutput newOutputConfig = MetricAttributionOutput.builder()
                .roleArn(roleArn)
                .s3DataDestination(newDataDestination)
                .build();
                
        UpdateMetricAttributionRequest request = UpdateMetricAttributionRequest.builder()
                .metricAttributionArn(metricAttributionArn)
                .metricsOutputConfig(newOutputConfig)
                .addMetrics(newAttributes)
                .build();
                
        UpdateMetricAttributionResponse response = personalizeClient.updateMetricAttribution(request);
        System.out.println("New metrics added!");
        System.out.println(response);
        
    } catch (PersonalizeException e) {
        System.out.println(e.awsErrorDetails().errorMessage());
    }
}
SDK for JavaScript v3
// Get service clients and commands using ES6 syntax.
import {UpdateMetricAttributionCommand, PersonalizeClient } from
  "@aws-sdk/client-personalize";

// create personalizeClient
const personalizeClient = new PersonalizeClient({
  region: "REGION"
});

export const updateMetricAttributionParam = {
  metricAttributionArn: "METRIC_ATTRIBUTION_ARN",
  addMetrics: [
    {
      eventType: "EVENT_TYPE",                      /* required for each metric */
      expression: "SUM(DatasetType.COLUMN_NAME)",   /* required for each metric */
      metricName: "METRIC_NAME",                    /* required for each metric */
    }
  ],
  metricsOutputConfig: {
    roleArn: "ROLE_ARN",                      /* required */
    s3DataDestination: {                
      kmsKeyArn: "KEY_ARN",                                                      /* optional */
      path: "s3://<name of your output S3 bucket>/<folderName>/",    /* optional */
    },
  }
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new UpdateMetricAttributionCommand(updateMetricAttributionParam)
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

If successful, Amazon Personalize returns the ARN of the metric attribution you updated. For a complete listing of all parameters, see UpdateMetricAttribution.