aws_sdk_cleanroomsml::operation::create_configured_audience_model::builders

Struct CreateConfiguredAudienceModelInputBuilder

#[non_exhaustive]
pub struct CreateConfiguredAudienceModelInputBuilder { /* private fields */ }

Expand description

A builder for CreateConfiguredAudienceModelInput.

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impl CreateConfiguredAudienceModelInputBuilder

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

The name of the configured audience model.

This field is required.

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

The name of the configured audience model.

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

The name of the configured audience model.

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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.

This field is required.

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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.

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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.

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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.

This field is required.

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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.

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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.

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

The description of the configured audience model.

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

The description of the configured audience model.

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

The description of the configured audience model.

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

Appends an item to shared_audience_metrics.

To override the contents of this collection use set_shared_audience_metrics.

Whether audience metrics are shared.

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

Whether audience metrics are shared.

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

Whether audience metrics are shared.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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pub fn build(self) -> Result<CreateConfiguredAudienceModelInput, BuildError>

Consumes the builder and constructs a CreateConfiguredAudienceModelInput.

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impl CreateConfiguredAudienceModelInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<CreateConfiguredAudienceModelOutput, SdkError<CreateConfiguredAudienceModelError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateConfiguredAudienceModelInputBuilder

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fn clone(&self) -> CreateConfiguredAudienceModelInputBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for CreateConfiguredAudienceModelInputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for CreateConfiguredAudienceModelInputBuilder

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fn default() -> CreateConfiguredAudienceModelInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for CreateConfiguredAudienceModelInputBuilder

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

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

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

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

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impl StructuralPartialEq for CreateConfiguredAudienceModelInputBuilder

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impl UnwindSafe for CreateConfiguredAudienceModelInputBuilder

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CreateConfiguredAudienceModelInputBuilder

Struct CreateConfiguredAudienceModelInputBuilder Copy item path

Implementations§

impl CreateConfiguredAudienceModelInputBuilder

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

pub fn audience_size_config(self, input: AudienceSizeConfig) -> Self

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

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

pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

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

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

pub fn child_resource_tag_on_create_policy( self, input: TagOnCreatePolicy, ) -> Self

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

pub fn get_child_resource_tag_on_create_policy( &self, ) -> &Option<TagOnCreatePolicy>

pub fn build(self) -> Result<CreateConfiguredAudienceModelInput, BuildError>

impl CreateConfiguredAudienceModelInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateConfiguredAudienceModelOutput, SdkError<CreateConfiguredAudienceModelError, HttpResponse>>

Trait Implementations§

impl Clone for CreateConfiguredAudienceModelInputBuilder

fn clone(&self) -> CreateConfiguredAudienceModelInputBuilder

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

impl Debug for CreateConfiguredAudienceModelInputBuilder

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

impl Default for CreateConfiguredAudienceModelInputBuilder

fn default() -> CreateConfiguredAudienceModelInputBuilder

impl PartialEq for CreateConfiguredAudienceModelInputBuilder

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

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

impl StructuralPartialEq for CreateConfiguredAudienceModelInputBuilder

Auto Trait Implementations§

impl Freeze for CreateConfiguredAudienceModelInputBuilder

impl RefUnwindSafe for CreateConfiguredAudienceModelInputBuilder

impl Send for CreateConfiguredAudienceModelInputBuilder

impl Sync for CreateConfiguredAudienceModelInputBuilder

impl Unpin for CreateConfiguredAudienceModelInputBuilder

impl UnwindSafe for CreateConfiguredAudienceModelInputBuilder

Blanket Implementations§

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

fn primary(&self) -> Painted<&T>

§Example

fn fixed(&self, color: u8) -> Painted<&T>

Struct CreateConfiguredAudienceModelInputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,