aws_sdk_cleanroomsml::operation::create_configured_model_algorithm::builders

Struct CreateConfiguredModelAlgorithmFluentBuilder

pub struct CreateConfiguredModelAlgorithmFluentBuilder { /* private fields */ }

Expand description

Fluent builder constructing a request to CreateConfiguredModelAlgorithm.

Creates a configured model algorithm using a container image stored in an ECR repository.

Implementations§

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impl CreateConfiguredModelAlgorithmFluentBuilder

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pub fn as_input(&self) -> &CreateConfiguredModelAlgorithmInputBuilder

Access the CreateConfiguredModelAlgorithm as a reference.

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pub async fn send( self, ) -> Result<CreateConfiguredModelAlgorithmOutput, SdkError<CreateConfiguredModelAlgorithmError, 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.

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pub fn customize( self, ) -> CustomizableOperation<CreateConfiguredModelAlgorithmOutput, CreateConfiguredModelAlgorithmError, Self>

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

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

The name of the configured model algorithm.

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

The Amazon Resource Name (ARN) of the role that is used to access the repository.

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

The Amazon Resource Name (ARN) of the role that is used to access the repository.

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

The Amazon Resource Name (ARN) of the role that is used to access the repository.

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

Configuration information for the training container, including entrypoints and arguments.

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

Configuration information for the training container, including entrypoints and arguments.

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

Configuration information for the training container, including entrypoints and arguments.

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

Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.

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

Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.

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

Configuration information for the inference container that is used when you run an inference job on a 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 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 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 algorithm 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 algorithm 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 algorithm and associated data.

Trait Implementations§

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impl Clone for CreateConfiguredModelAlgorithmFluentBuilder

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fn clone(&self) -> CreateConfiguredModelAlgorithmFluentBuilder

Returns a duplicate of the value. Read more

1.0.0 · Source§

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

Performs copy-assignment from source. Read more

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impl Debug for CreateConfiguredModelAlgorithmFluentBuilder

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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 !UnwindSafe for CreateConfiguredModelAlgorithmFluentBuilder

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CreateConfiguredModelAlgorithmFluentBuilder

Struct CreateConfiguredModelAlgorithmFluentBuilder Copy item path

Implementations§

impl CreateConfiguredModelAlgorithmFluentBuilder

pub fn as_input(&self) -> &CreateConfiguredModelAlgorithmInputBuilder

pub async fn send( self, ) -> Result<CreateConfiguredModelAlgorithmOutput, SdkError<CreateConfiguredModelAlgorithmError, HttpResponse>>

pub fn customize( self, ) -> CustomizableOperation<CreateConfiguredModelAlgorithmOutput, CreateConfiguredModelAlgorithmError, Self>

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 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 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 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 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>

Trait Implementations§

impl Clone for CreateConfiguredModelAlgorithmFluentBuilder

fn clone(&self) -> CreateConfiguredModelAlgorithmFluentBuilder

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

impl Debug for CreateConfiguredModelAlgorithmFluentBuilder

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

Auto Trait Implementations§

impl Freeze for CreateConfiguredModelAlgorithmFluentBuilder

impl !RefUnwindSafe for CreateConfiguredModelAlgorithmFluentBuilder

impl Send for CreateConfiguredModelAlgorithmFluentBuilder

impl Sync for CreateConfiguredModelAlgorithmFluentBuilder

impl Unpin for CreateConfiguredModelAlgorithmFluentBuilder

impl !UnwindSafe for CreateConfiguredModelAlgorithmFluentBuilder

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

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

§Example

fn rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

§Example

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

§Example

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

§Example

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

§Example

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

§Example

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

Struct CreateConfiguredModelAlgorithmFluentBuilder

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,