Struct CreateConfiguredAudienceModelInput 

#[non_exhaustive]
pub struct CreateConfiguredAudienceModelInput {
    pub name: Option<String>,
    pub audience_model_arn: Option<String>,
    pub output_config: Option<ConfiguredAudienceModelOutputConfig>,
    pub description: Option<String>,
    pub shared_audience_metrics: Option<Vec<SharedAudienceMetrics>>,
    pub min_matching_seed_size: Option<i32>,
    pub audience_size_config: Option<AudienceSizeConfig>,
    pub tags: Option<HashMap<String, String>>,
    pub child_resource_tag_on_create_policy: Option<TagOnCreatePolicy>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name: Option<String>

The name of the configured audience model.

audience_model_arn: Option<String>

The Amazon Resource Name (ARN) of the audience model to use for the configured audience model.

output_config: Option<ConfiguredAudienceModelOutputConfig>

Configure the Amazon S3 location and IAM Role for audiences created using this configured audience model. Each audience will have a unique location. The IAM Role must have s3:PutObject permission on the destination Amazon S3 location. If the destination is protected with Amazon S3 KMS-SSE, then the Role must also have the required KMS permissions.

description: Option<String>

The description of the configured audience model.

shared_audience_metrics: Option<Vec<SharedAudienceMetrics>>

Whether audience metrics are shared.

min_matching_seed_size: Option<i32>

The minimum number of users from the seed audience that must match with users in the training data of the audience model. The default value is 500.

audience_size_config: Option<AudienceSizeConfig>

Configure the list of output sizes of audiences that can be created using this configured audience model. A request to StartAudienceGenerationJob that uses this configured audience model must have an audienceSize selected from this list. You can use the ABSOLUTE AudienceSize to configure out audience sizes using the count of identifiers in the output. You can use the Percentage AudienceSize to configure sizes in the range 1-100 percent.

tags: Option<HashMap<String, String>>

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.

child_resource_tag_on_create_policy: Option<TagOnCreatePolicy>

Configure how the service tags audience generation jobs created using this configured audience model. If you specify NONE, the tags from the StartAudienceGenerationJob request determine the tags of the audience generation job. If you specify FROM_PARENT_RESOURCE, the audience generation job inherits the tags from the configured audience model, by default. Tags in the StartAudienceGenerationJob will override the default.

When the client is in a different account than the configured audience model, the tags from the client are never applied to a resource in the caller's account.

Implementations

impl CreateConfiguredAudienceModelInput

pub fn name(&self) -> Option<&str>

The name of the configured audience model.

pub fn audience_model_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the audience model to use for the configured audience model.

pub fn output_config(&self) -> Option<&ConfiguredAudienceModelOutputConfig>

Configure the Amazon S3 location and IAM Role for audiences created using this configured audience model. Each audience will have a unique location. The IAM Role must have s3:PutObject permission on the destination Amazon S3 location. If the destination is protected with Amazon S3 KMS-SSE, then the Role must also have the required KMS permissions.

pub fn description(&self) -> Option<&str>

The description of the configured audience model.

pub fn shared_audience_metrics(&self) -> &[SharedAudienceMetrics]

Whether audience metrics are shared.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .shared_audience_metrics.is_none().

pub fn min_matching_seed_size(&self) -> Option<i32>

The minimum number of users from the seed audience that must match with users in the training data of the audience model. The default value is 500.

pub fn audience_size_config(&self) -> Option<&AudienceSizeConfig>

Configure the list of output sizes of audiences that can be created using this configured audience model. A request to StartAudienceGenerationJob that uses this configured audience model must have an audienceSize selected from this list. You can use the ABSOLUTE AudienceSize to configure out audience sizes using the count of identifiers in the output. You can use the Percentage AudienceSize to configure sizes in the range 1-100 percent.

pub fn tags(&self) -> Option<&HashMap<String, String>>

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.

pub fn child_resource_tag_on_create_policy(&self) -> Option<&TagOnCreatePolicy>

Configure how the service tags audience generation jobs created using this configured audience model. If you specify NONE, the tags from the StartAudienceGenerationJob request determine the tags of the audience generation job. If you specify FROM_PARENT_RESOURCE, the audience generation job inherits the tags from the configured audience model, by default. Tags in the StartAudienceGenerationJob will override the default.

When the client is in a different account than the configured audience model, the tags from the client are never applied to a resource in the caller's account.

impl CreateConfiguredAudienceModelInput

pub fn builder() -> CreateConfiguredAudienceModelInputBuilder

Creates a new builder-style object to manufacture CreateConfiguredAudienceModelInput.

Trait Implementations

impl Clone for CreateConfiguredAudienceModelInput

fn clone(&self) -> CreateConfiguredAudienceModelInput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateConfiguredAudienceModelInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for CreateConfiguredAudienceModelInput

fn eq(&self, other: &CreateConfiguredAudienceModelInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateConfiguredAudienceModelInput