SolutionVersion
public struct SolutionVersion : AWSShape
Undocumented
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Declaration
Swift
public static var _members: [AWSShapeMember]
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The date and time (in Unix time) that this version of the solution was created.
Declaration
Swift
public let creationDateTime: TimeStamp?
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The Amazon Resource Name (ARN) of the dataset group providing the training data.
Declaration
Swift
public let datasetGroupArn: String?
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The event type (for example, ‘click’ or ‘like’) that is used for training the model.
Declaration
Swift
public let eventType: String?
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If training a solution version fails, the reason for the failure.
Declaration
Swift
public let failureReason: String?
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The date and time (in Unix time) that the solution was last updated.
Declaration
Swift
public let lastUpdatedDateTime: TimeStamp?
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When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
Declaration
Swift
public let performAutoML: Bool?
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Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
Declaration
Swift
public let performHPO: Bool?
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The ARN of the recipe used in the solution.
Declaration
Swift
public let recipeArn: String?
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The ARN of the solution.
Declaration
Swift
public let solutionArn: String?
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Describes the configuration properties for the solution.
Declaration
Swift
public let solutionConfig: SolutionConfig?
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The ARN of the solution version.
Declaration
Swift
public let solutionVersionArn: String?
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The status of the solution version. A solution version can be in one of the following states: CREATE PENDING CREATE IN_PROGRESS ACTIVE CREATE FAILED
Declaration
Swift
public let status: String?
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The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
Declaration
Swift
public let trainingHours: Double?
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The scope of training used to create the solution version. The FULL option trains the solution version based on the entirety of the input solution’s training data, while the UPDATE option processes only the training data that has changed since the creation of the last solution version. Choose UPDATE when you want to start recommending items added to the dataset without retraining the model. The UPDATE option can only be used after you’ve created a solution version with the FULL option and the training solution uses the native-recipe-hrnn-coldstart.
Declaration
Swift
public let trainingMode: TrainingMode?
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If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
Declaration
Swift
public let tunedHPOParams: TunedHPOParams?
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init(creationDateTime:datasetGroupArn:eventType:failureReason:lastUpdatedDateTime:performAutoML:performHPO:recipeArn:solutionArn:solutionConfig:solutionVersionArn:status:trainingHours:trainingMode:tunedHPOParams:)
Undocumented
Declaration
Swift
public init(creationDateTime: TimeStamp? = nil, datasetGroupArn: String? = nil, eventType: String? = nil, failureReason: String? = nil, lastUpdatedDateTime: TimeStamp? = nil, performAutoML: Bool? = nil, performHPO: Bool? = nil, recipeArn: String? = nil, solutionArn: String? = nil, solutionConfig: SolutionConfig? = nil, solutionVersionArn: String? = nil, status: String? = nil, trainingHours: Double? = nil, trainingMode: TrainingMode? = nil, tunedHPOParams: TunedHPOParams? = nil)