Struct aws_sdk_cleanroomsml::operation::create_audience_model::builders::CreateAudienceModelFluentBuilder

pub struct CreateAudienceModelFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateAudienceModel.

Defines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.

Implementations

impl CreateAudienceModelFluentBuilder

pub fn as_input(&self) -> &CreateAudienceModelInputBuilder

Access the CreateAudienceModel as a reference.

pub async fn send( self ) -> Result<CreateAudienceModelOutput, SdkError<CreateAudienceModelError, 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<CreateAudienceModelOutput, CreateAudienceModelError, Self>

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

pub fn training_data_start_time(self, input: DateTime) -> Self

The start date and time of the training window.

pub fn set_training_data_start_time(self, input: Option<DateTime>) -> Self

The start date and time of the training window.

pub fn get_training_data_start_time(&self) -> &Option<DateTime>

The start date and time of the training window.

pub fn training_data_end_time(self, input: DateTime) -> Self

The end date and time of the training window.

pub fn set_training_data_end_time(self, input: Option<DateTime>) -> Self

The end date and time of the training window.

pub fn get_training_data_end_time(&self) -> &Option<DateTime>

The end date and time of the training window.

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

The name of the audience model resource.

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

The name of the audience model resource.

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

The name of the audience model resource.

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

The Amazon Resource Name (ARN) of the training dataset for this audience model.

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

The Amazon Resource Name (ARN) of the training dataset for this audience model.

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

The Amazon Resource Name (ARN) of the training dataset for this audience model.

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

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.

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

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.

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

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.

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 description(self, input: impl Into<String>) -> Self

The description of the audience model.

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

The description of the audience model.

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

The description of the audience model.

Trait Implementations

impl Clone for CreateAudienceModelFluentBuilder

fn clone(&self) -> CreateAudienceModelFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateAudienceModelFluentBuilder

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

Formats the value using the given formatter.