Values.CreateAudienceModelRequestSourceDefines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.
type nonrec t = {trainingDataStartTime : SyntheticTimestamp_date_time.t option;The start date and time of the training window.
*)trainingDataEndTime : SyntheticTimestamp_date_time.t option;The end date and time of the training window.
*)name : NameString.t;The name of the audience model resource.
*)trainingDatasetArn : TrainingDatasetArn.t;The Amazon Resource Name (ARN) of the training dataset for this audience model.
*)kmsKeyArn : KmsKeyArn.t option;The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and the associated data.
*)description : ResourceDescription.t option;The description of the audience model.
*)}val make :
?trainingDataStartTime:??? ->
?trainingDataEndTime:??? ->
?kmsKeyArn:??? ->
?tags:??? ->
?description:??? ->
name:NameString.t ->
trainingDatasetArn:TrainingDatasetArn.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `Map of
([> `String of TagKey.t ] * [> `String of TagValue.t ]) list
| `String of NameString.t
| `Timestamp of SyntheticTimestamp_date_time.t ])
list ]