Struct aws_sdk_cleanroomsml::operation::create_configured_audience_model::builders::CreateConfiguredAudienceModelFluentBuilder

pub struct CreateConfiguredAudienceModelFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateConfiguredAudienceModel.

Defines the information necessary to create a configured audience model.

Implementations

impl CreateConfiguredAudienceModelFluentBuilder

pub fn as_input(&self) -> &CreateConfiguredAudienceModelInputBuilder

Access the CreateConfiguredAudienceModel as a reference.

pub async fn send( self ) -> Result<CreateConfiguredAudienceModelOutput, SdkError<CreateConfiguredAudienceModelError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<CreateConfiguredAudienceModelOutput, CreateConfiguredAudienceModelError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn name(self, input: impl Into<String>) -> Self

The name of the configured audience model.

pub fn set_name(self, input: Option<String>) -> Self

The name of the configured audience model.

pub fn get_name(&self) -> &Option<String>

The name of the configured audience model.

pub fn audience_model_arn(self, input: impl Into<String>) -> Self

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

pub fn set_audience_model_arn(self, input: Option<String>) -> Self

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

pub fn get_audience_model_arn(&self) -> &Option<String>

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

pub fn output_config(self, input: ConfiguredAudienceModelOutputConfig) -> Self

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 set_output_config( self, input: Option<ConfiguredAudienceModelOutputConfig> ) -> Self

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 get_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, input: impl Into<String>) -> Self

The description of the configured audience model.

pub fn set_description(self, input: Option<String>) -> Self

The description of the configured audience model.

pub fn get_description(&self) -> &Option<String>

The description of the configured audience model.

pub fn shared_audience_metrics(self, input: SharedAudienceMetrics) -> Self

Appends an item to sharedAudienceMetrics.

To override the contents of this collection use set_shared_audience_metrics.

Whether audience metrics are shared.

pub fn set_shared_audience_metrics( self, input: Option<Vec<SharedAudienceMetrics>> ) -> Self

Whether audience metrics are shared.

pub fn get_shared_audience_metrics(&self) -> &Option<Vec<SharedAudienceMetrics>>

Whether audience metrics are shared.

pub fn min_matching_seed_size(self, input: i32) -> Self

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 set_min_matching_seed_size(self, input: Option<i32>) -> Self

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 get_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, input: AudienceSizeConfig) -> Self

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 set_audience_size_config(self, input: Option<AudienceSizeConfig>) -> Self

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 get_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, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

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 set_tags(self, input: Option<HashMap<String, String>>) -> Self

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 get_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, input: TagOnCreatePolicy ) -> Self

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.

pub fn set_child_resource_tag_on_create_policy( self, input: Option<TagOnCreatePolicy> ) -> Self

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.

pub fn get_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.

Trait Implementations

impl Clone for CreateConfiguredAudienceModelFluentBuilder

fn clone(&self) -> CreateConfiguredAudienceModelFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateConfiguredAudienceModelFluentBuilder

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

Formats the value using the given formatter.