PersonalizeRuntime

Service object for interacting with AWS PersonalizeRuntime service.

public struct PersonalizeRuntime: AWSService

Inheritance

AWSService

Initializers

init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)

Initialize the PersonalizeRuntime client

public init(client: AWSClient, region: SotoCore.Region? = nil, partition: AWSPartition = .aws, endpoint: String? = nil, timeout: TimeAmount? = nil, byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(), options: AWSServiceConfig.Options = [])

Parameters

• client: AWSClient used to process requests
• region: Region of server you want to communicate with. This will override the partition parameter.
• partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
• endpoint: Custom endpoint URL to use instead of standard AWS servers
• timeout: Timeout value for HTTP requests

init(from:patch:)

Initializer required by AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options). You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch. Please use AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options) instead.

public init(from: PersonalizeRuntime, patch: AWSServiceConfig.Patch)

Properties

client

Client used for communication with AWS

let client: AWSClient

config

Service configuration

let config: AWSServiceConfig

Methods

getPersonalizedRanking(_:logger:on:)

public func getPersonalizedRanking(_ input: GetPersonalizedRankingRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetPersonalizedRankingResponse>

Re-ranks a list of recommended items for the given user. The first item in the list is deemed the most likely item to be of interest to the user.

getRecommendations(_:logger:on:)

public func getRecommendations(_ input: GetRecommendationsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetRecommendationsResponse>

Returns a list of recommended items. The required input depends on the recipe type used to create the solution backing the campaign, as follows:

• RELATED_ITEMS - itemId required, userId not used

• USER_PERSONALIZATION - itemId optional, userId required