class Aws::CleanRoomsML::Types::CreateConfiguredAudienceModelRequest

@see docs.aws.amazon.com/goto/WebAPI/cleanroomsml-2023-09-06/CreateConfiguredAudienceModelRequest AWS API Documentation
@return [String]
resource in the caller’s account.
audience model, the tags from the client are never applied to a
When the client is in a different account than the configured
StartAudienceGenerationJob will override the default.
tags from the configured audience model, by default. Tags in the
`FROM_PARENT_RESOURCE`, the audience generation job inherits the
of the audience generation job. If you specify
tags from the StartAudienceGenerationJob request determine the tags
using this configured audience model. If you specify ‘NONE`, the
Configure how the service tags audience generation jobs created
@!attribute [rw] child_resource_tag_on_create_policy
@return [Hash<String,String>]
of aws do not count against your tags per resource limit.
count against the limit of 50 tags. Tags with only the key prefix
not, then Clean Rooms ML considers it to be a user tag and will
this prefix. If a tag value has aws as its prefix but the key does
cannot edit or delete tag keys with this prefix. Values can have
such as a prefix for keys as it is reserved for AWS use. You
* Do not use aws:, AWS:, or any upper or lowercase combination of
* Tag keys and values are case sensitive.
characters: + - = . _ : / @.
numbers, and spaces representable in UTF-8, and the following
allowed characters. Generally allowed characters are: letters,
resources, remember that other services may have restrictions on
* If your tagging schema is used across multiple services and
* Maximum value length - 256 Unicode characters in UTF-8.
* Maximum key length - 128 Unicode characters in UTF-8.
can have only one value.
* For each resource, each tag key must be unique, and each tag key
* Maximum number of tags per resource - 50.
The following basic restrictions apply to tags:
optional value, both of which you define.
categorize and organize them. Each tag consists of a key and an
The optional metadata that you apply to the resource to help you
@!attribute [rw] tags
@return [Types::AudienceSizeConfig]
AudienceSize to configure sizes in the range 1-100 percent.
count of identifiers in the output. You can use the `Percentage`
`ABSOLUTE` AudienceSize to configure out audience sizes using the
must have an `audienceSize` selected from this list. You can use the
StartAudienceGenerationJob that uses this configured audience model
using this configured audience model. A request to
Configure the list of output sizes of audiences that can be created
@!attribute [rw] audience_size_config
@return [Integer]
value is 500.
with users in the training data of the audience model. The default
The minimum number of users from the seed audience that must match
@!attribute [rw] min_matching_seed_size
@return [Array<String>]
Whether audience metrics are shared.
@!attribute [rw] shared_audience_metrics
@return [String]
The description of the configured audience model.
@!attribute [rw] description
@return [Types::ConfiguredAudienceModelOutputConfig]
KMS permissions.
with Amazon S3 KMS-SSE, then the Role must also have the required
the destination Amazon S3 location. If the destination is protected
unique location. The IAM Role must have `s3:PutObject` permission on
using this configured audience model. Each audience will have a
Configure the Amazon S3 location and IAM Role for audiences created
@!attribute [rw] output_config
@return [String]
configured audience model.
The Amazon Resource Name (ARN) of the audience model to use for the
@!attribute [rw] audience_model_arn
@return [String]
The name of the configured audience model.
@!attribute [rw] name