Module Values.CreateTrainingDatasetRequestSource

Defines the information necessary to create a training dataset. In Clean Rooms ML, the TrainingDataset is metadata that points to a Glue table, which is read only during AudienceModel creation.

Sourcetype nonrec t = {
  1. name : NameString.t;
    (*

    The name of the training dataset. This name must be unique in your account and region.

    *)
  2. roleArn : IamRoleArn.t;
    (*

    The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource field of each dataset. Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException error.

    *)
  3. trainingData : CreateTrainingDatasetRequestTrainingDataList.t;
    (*

    An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.

    *)
  4. tags : TagMap.t option;
    (*

    The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. The following basic restrictions apply to tags: Maximum number of tags per resource - 50. For each resource, each tag key must be unique, and each tag key can have only one value. Maximum key length - 128 Unicode characters in UTF-8. Maximum value length - 256 Unicode characters in UTF-8. If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @. Tag keys and values are case sensitive. Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

    *)
  5. description : ResourceDescription.t option;
    (*

    The description of the training dataset.

    *)
}
Sourceval context_ : string
Sourceval make : ?tags:??? -> ?description:??? -> name:NameString.t -> roleArn:IamRoleArn.t -> trainingData:CreateTrainingDatasetRequestTrainingDataList.t -> unit -> t
Sourceval to_value : t -> [> `Structure of (string * [> `List of [> `Structure of (string * [> `Enum of string | `Structure of (string * [> `List of [> `Structure of (string * [> `List of [> `Enum of string ] list | `String of ColumnName.t ]) list ] list | `Structure of (string * [> `Structure of (string * [> `String of GlueTableName.t ]) list ]) list ]) list ]) list ] list | `Map of ([> `String of TagKey.t ] * [> `String of TagValue.t ]) list | `String of NameString.t ]) list ]
Sourceval to_query : t -> Awso.Client.Query.t
Sourceval of_xml : Awso.Xml.t -> t
Sourceval of_string : string -> t
Sourceval of_json : Yojson.Safe.t -> t
Sourceval to_json : t -> Yojson.Safe.t