CreateAudienceModelRequest ¶

class CreateAudienceModelRequest(TypedDict, closed=True):
    training_data_start_time: NotRequired["datetime.datetime"]
    """<p>The start date and time of the training window.</p>"""
    training_data_end_time: NotRequired["datetime.datetime"]
    """<p>The end date and time of the training window.</p>"""
    name: "capo_cleanroomsml.types.name_string.NameString"
    """<p>The name of the audience model resource.</p>"""
    training_dataset_arn: (
        "capo_cleanroomsml.types.training_dataset_arn.TrainingDatasetArn"
    )
    """<p>The Amazon Resource Name (ARN) of the training dataset for this audience model.</p>"""
    kms_key_arn: NotRequired["capo_cleanroomsml.types.kms_key_arn.KmsKeyArn"]
    """<p>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.</p>"""
    tags: NotRequired["capo_cleanroomsml.types.tag_map.TagMap"]
    """<p>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.</p> <p>The following basic restrictions apply to tags:</p> <ul> <li> <p>Maximum number of tags per resource - 50.</p> </li> <li> <p>For each resource, each tag key must be unique, and each tag key can have only one value.</p> </li> <li> <p>Maximum key length - 128 Unicode characters in UTF-8.</p> </li> <li> <p>Maximum value length - 256 Unicode characters in UTF-8.</p> </li> <li> <p>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: + - = . _ : / @.</p> </li> <li> <p>Tag keys and values are case sensitive.</p> </li> <li> <p>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.</p> </li> </ul>"""
    description: NotRequired[
        "capo_cleanroomsml.types.resource_description.ResourceDescription"
    ]
    """<p>The description of the audience model.</p>"""