Struct GetConfiguredModelAlgorithmOutput 

#[non_exhaustive]
pub struct GetConfiguredModelAlgorithmOutput {
    pub create_time: DateTime,
    pub update_time: DateTime,
    pub configured_model_algorithm_arn: String,
    pub name: String,
    pub training_container_config: Option<ContainerConfig>,
    pub inference_container_config: Option<InferenceContainerConfig>,
    pub role_arn: String,
    pub description: Option<String>,
    pub tags: Option<HashMap<String, String>>,
    pub kms_key_arn: Option<String>,
    /* private fields */
}

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.

create_time: DateTime

The time at which the configured model algorithm was created.

update_time: DateTime

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

configured_model_algorithm_arn: String

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

name: String

The name of the configured model algorithm.

training_container_config: Option<ContainerConfig>

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

inference_container_config: Option<InferenceContainerConfig>

Configuration information for the inference container.

role_arn: String

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

description: Option<String>

The description of the configured model algorithm.

tags: 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.

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 and associated data.

Implementations

impl GetConfiguredModelAlgorithmOutput

pub fn create_time(&self) -> &DateTime

The time at which the configured model algorithm was created.

pub fn update_time(&self) -> &DateTime

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

pub fn configured_model_algorithm_arn(&self) -> &str

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

pub fn name(&self) -> &str

The name of the configured model algorithm.

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

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

pub fn inference_container_config(&self) -> Option<&InferenceContainerConfig>

Configuration information for the inference container.

pub fn role_arn(&self) -> &str

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

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

The description of the configured model algorithm.

pub fn 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.

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 and associated data.

impl GetConfiguredModelAlgorithmOutput

pub fn builder() -> GetConfiguredModelAlgorithmOutputBuilder

Creates a new builder-style object to manufacture GetConfiguredModelAlgorithmOutput.

Trait Implementations

impl Clone for GetConfiguredModelAlgorithmOutput

fn clone(&self) -> GetConfiguredModelAlgorithmOutput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetConfiguredModelAlgorithmOutput

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

Formats the value using the given formatter.

impl PartialEq for GetConfiguredModelAlgorithmOutput

fn eq(&self, other: &GetConfiguredModelAlgorithmOutput) -> 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 RequestId for GetConfiguredModelAlgorithmOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for GetConfiguredModelAlgorithmOutput