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.
/// GetRecommendations or GetPersonalizedRanking
/// call. Transactions per second (TPS) is the throughput and unit of billing for Amazon
/// Personalize. The minimum provisioned TPS (minProvisionedTPS) specifies
/// the baseline throughput provisioned by Amazon Personalize, and thus, the minimum billing
/// charge.
/// minProvisionedTPS, Amazon Personalize auto-scales
/// the provisioned capacity up and down, but never below minProvisionedTPS.
/// There's a short time delay while the capacity is increased that might cause loss of
/// transactions.
/// minProvisionedTPS, track your usage
/// using Amazon CloudWatch metrics, and then increase the minProvisionedTPS
/// as necessary.
/// status of the campaign is ACTIVE before asking
/// the campaign for recommendations.
/// Related APIs /// ///
Interactions
/// dataset is required in order to train a model (also referred to as creating a solution).
/// Related APIs /// ///
PutObject permissions for your
/// Amazon S3 bucket. For information, see Exporting
/// a dataset in the Amazon Personalize developer guide.
///
///
/// failureReason key, which describes why
/// the job failed.
/// failureReason
/// key, which describes why the creation failed.
/// status of the dataset group is ACTIVE
/// before adding a dataset to the group.
/// APIs that require a dataset group ARN in the request /// ///
Related APIs /// ///
failureReason key, which describes why the job
/// failed.
/// Related APIs /// ///
CreateEventTracker using the same dataset group as an existing
/// event tracker.
/// Related APIs /// ///
minRecommendationRequestsPerSecond will increase your bill. We
/// recommend starting with 1 for minRecommendationRequestsPerSecond (the
/// default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond
/// as necessary.
/// minRecommendationRequestsPerSecond)
/// specifies the baseline recommendation request throughput provisioned by Amazon Personalize.
/// The default minRecommendationRequestsPerSecond is 1. A recommendation
/// request is a single GetRecommendations operation. Request throughput
/// is measured in requests per second and Amazon Personalize uses your requests per second
/// to derive your requests per hour and the price of your recommender usage.
/// minRecommendationRequestsPerSecond,
/// Amazon Personalize auto-scales the provisioned capacity up and down, but never below
/// minRecommendationRequestsPerSecond. There's a short time delay while
/// the capacity is increased that might cause loss of requests.
/// minRecommendationRequestsPerSecond, track your usage using
/// Amazon CloudWatch metrics, and then increase the minRecommendationRequestsPerSecond
/// as necessary.
/// status of the recommender is ACTIVE before
/// asking the recommender for recommendations.
/// Related APIs /// ///
Related APIs /// ///
CreateSolutionVersion, a new version of
/// the solution is created.
///
///
/// hpoObjective for solution
/// hyperparameter optimization at this time.
/// CreateSolutionVersion.
/// Related APIs /// ///
CreateSolutionVersion.
/// A new version of the solution is created every time you call this operation.
///
///
/// CreateCampaign.
/// failureReason
/// key, which describes why the job failed.
/// Related APIs /// ///
DatasetImportJob
/// or SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For
/// more information on datasets, see CreateDataset.
/// Solution object itself. Before
/// deleting a solution, you must delete all campaigns based on the solution. To determine
/// what campaigns are using the solution, call ListCampaigns
/// and supply the Amazon Resource Name (ARN) of the solution. You can't delete a solution
/// if an associated SolutionVersion is in the CREATE PENDING or IN PROGRESS
/// state. For more information on solutions, see CreateSolution.
/// status is CREATE FAILED, the response includes
/// the failureReason key, which describes why.
/// trackingId and
/// status of the event tracker. For more information on event trackers,
/// see CreateEventTracker.
/// CreateSolution trains a model by using the algorithm in the specified
/// recipe and a training dataset. The solution, when deployed as a campaign, can provide
/// recommendations using the GetRecommendations
/// API.
/// status is CREATE FAILED, the response includes
/// the failureReason key, which describes why.
/// modelMetrics key is null when the recommender is being created or
/// deleted.
/// minProvisionedTPS parameter.
///
///
/// Active.
///
/// latestRecommenderUpdate returned in the DescribeRecommender
/// operation.
///