aws_sdk_cleanroomsml::operation::get_configured_model_algorithm::builders

Struct GetConfiguredModelAlgorithmOutputBuilder

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

Expand description

A builder for GetConfiguredModelAlgorithmOutput.

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impl GetConfiguredModelAlgorithmOutputBuilder

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

The time at which the configured model algorithm was created.

This field is required.

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

The time at which the configured model algorithm was created.

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

The time at which the configured model algorithm was created.

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

The most recent time at which the configured model algorithm was updated.

This field is required.

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

The most recent time at which the configured model algorithm was updated.

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

The most recent time at which the configured model algorithm was updated.

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

The Amazon Resource Name (ARN) of the configured model algorithm.

This field is required.

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

The Amazon Resource Name (ARN) of the configured model algorithm.

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

The Amazon Resource Name (ARN) of the configured model algorithm.

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

The name of the configured model algorithm.

This field is required.

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

The name of the configured model algorithm.

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

The name of the configured model algorithm.

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pub fn training_container_config(self, input: ContainerConfig) -> Self

The configuration information of the training container for the configured model algorithm.

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pub fn set_training_container_config( self, input: Option<ContainerConfig>, ) -> Self

The configuration information of the training container for the configured model algorithm.

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pub fn get_training_container_config(&self) -> &Option<ContainerConfig>

The configuration information of the training container for the configured model algorithm.

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pub fn inference_container_config(self, input: InferenceContainerConfig) -> Self

Configuration information for the inference container.

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pub fn set_inference_container_config( self, input: Option<InferenceContainerConfig>, ) -> Self

Configuration information for the inference container.

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pub fn get_inference_container_config( &self, ) -> &Option<InferenceContainerConfig>

Configuration information for the inference container.

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

The Amazon Resource Name (ARN) of the service role that was used to create the configured model algorithm.

This field is required.

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

The Amazon Resource Name (ARN) of the service role that was used to create the configured model algorithm.

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

The Amazon Resource Name (ARN) of the service role that was used to create the configured model algorithm.

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

The description of the configured model algorithm.

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

The description of the configured model algorithm.

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

The description of the configured model algorithm.

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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 applied 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 applied 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 applied 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 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 configured ML model and associated data.

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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 configured ML model and associated data.

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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 configured ML model and associated data.

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

Consumes the builder and constructs a GetConfiguredModelAlgorithmOutput. This method will fail if any of the following fields are not set:

Trait Implementations§

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impl Clone for GetConfiguredModelAlgorithmOutputBuilder

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fn clone(&self) -> GetConfiguredModelAlgorithmOutputBuilder

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 GetConfiguredModelAlgorithmOutputBuilder

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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 GetConfiguredModelAlgorithmOutputBuilder

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fn default() -> GetConfiguredModelAlgorithmOutputBuilder

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

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impl PartialEq for GetConfiguredModelAlgorithmOutputBuilder

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fn eq(&self, other: &GetConfiguredModelAlgorithmOutputBuilder) -> 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 GetConfiguredModelAlgorithmOutputBuilder

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impl UnwindSafe for GetConfiguredModelAlgorithmOutputBuilder

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GetConfiguredModelAlgorithmOutputBuilder

Struct GetConfiguredModelAlgorithmOutputBuilder Copy item path

Implementations§

impl GetConfiguredModelAlgorithmOutputBuilder

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

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

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

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

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

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

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

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

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

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 training_container_config(self, input: ContainerConfig) -> Self

pub fn set_training_container_config( self, input: Option<ContainerConfig>, ) -> Self

pub fn get_training_container_config(&self) -> &Option<ContainerConfig>

pub fn inference_container_config(self, input: InferenceContainerConfig) -> Self

pub fn set_inference_container_config( self, input: Option<InferenceContainerConfig>, ) -> Self

pub fn get_inference_container_config( &self, ) -> &Option<InferenceContainerConfig>

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

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

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

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

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

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

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

Trait Implementations§

impl Clone for GetConfiguredModelAlgorithmOutputBuilder

fn clone(&self) -> GetConfiguredModelAlgorithmOutputBuilder

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

impl Debug for GetConfiguredModelAlgorithmOutputBuilder

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

impl Default for GetConfiguredModelAlgorithmOutputBuilder

fn default() -> GetConfiguredModelAlgorithmOutputBuilder

impl PartialEq for GetConfiguredModelAlgorithmOutputBuilder

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

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

impl StructuralPartialEq for GetConfiguredModelAlgorithmOutputBuilder

Auto Trait Implementations§

impl Freeze for GetConfiguredModelAlgorithmOutputBuilder

impl RefUnwindSafe for GetConfiguredModelAlgorithmOutputBuilder

impl Send for GetConfiguredModelAlgorithmOutputBuilder

impl Sync for GetConfiguredModelAlgorithmOutputBuilder

impl Unpin for GetConfiguredModelAlgorithmOutputBuilder

impl UnwindSafe for GetConfiguredModelAlgorithmOutputBuilder

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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

Struct GetConfiguredModelAlgorithmOutputBuilder

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,