personalize_update_campaign: Updates a campaign to deploy a retrained solution version...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's minProvisionedTPS, or modify your campaign's configuration

Description

Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's minProvisionedTPS, or modify your campaign's configuration. For example, you can set enableMetadataWithRecommendations to true for an existing campaign.

See https://www.paws-r-sdk.com/docs/personalize_update_campaign/ for full documentation.

Usage

personalize_update_campaign(
  campaignArn,
  solutionVersionArn = NULL,
  minProvisionedTPS = NULL,
  campaignConfig = NULL
)

Arguments

campaignArn	[required] The Amazon Resource Name (ARN) of the campaign.
solutionVersionArn	The Amazon Resource Name (ARN) of a new model to deploy. To specify the latest solution version of your solution, specify the ARN of your solution in ⁠SolutionArn/$LATEST⁠ format. You must use this format if you set syncWithLatestSolutionVersion to True in the CampaignConfig. To deploy a model that isn't the latest solution version of your solution, specify the ARN of the solution version. For more information about automatic campaign updates, see Enabling automatic campaign updates.
minProvisionedTPS	Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support. A high minProvisionedTPS will increase your bill. We recommend starting with 1 for minProvisionedTPS (the default). Track your usage using Amazon CloudWatch metrics, and increase the minProvisionedTPS as necessary.
campaignConfig	The configuration details of a campaign.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.