Struct CreateConfiguredModelAlgorithmInput 

#[non_exhaustive]
pub struct CreateConfiguredModelAlgorithmInput {
    pub name: Option<String>,
    pub description: Option<String>,
    pub role_arn: Option<String>,
    pub training_container_config: Option<ContainerConfig>,
    pub inference_container_config: Option<InferenceContainerConfig>,
    pub tags: Option<HashMap<String, String>>,
    pub kms_key_arn: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name: Option<String>

The name of the configured model algorithm.

description: Option<String>

The description of the configured model algorithm.

role_arn: Option<String>

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

training_container_config: Option<ContainerConfig>

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

inference_container_config: Option<InferenceContainerConfig>

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

tags: 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.

kms_key_arn: 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.

Implementations

impl CreateConfiguredModelAlgorithmInput

pub fn name(&self) -> Option<&str>

The name of the configured model algorithm.

pub fn description(&self) -> Option<&str>

The description of the configured model algorithm.

pub fn role_arn(&self) -> Option<&str>

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

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

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

pub fn 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.

pub fn 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 kms_key_arn(&self) -> Option<&str>

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.

impl CreateConfiguredModelAlgorithmInput

pub fn builder() -> CreateConfiguredModelAlgorithmInputBuilder

Creates a new builder-style object to manufacture CreateConfiguredModelAlgorithmInput.

Trait Implementations

impl Clone for CreateConfiguredModelAlgorithmInput

fn clone(&self) -> CreateConfiguredModelAlgorithmInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateConfiguredModelAlgorithmInput

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

Formats the value using the given formatter.

impl PartialEq for CreateConfiguredModelAlgorithmInput

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

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

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

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

impl StructuralPartialEq for CreateConfiguredModelAlgorithmInput