Struct GetMlInputChannelOutput 

#[non_exhaustive]
pub struct GetMlInputChannelOutput {

    pub membership_identifier: String,
    pub collaboration_identifier: String,
    pub ml_input_channel_arn: String,
    pub name: String,
    pub configured_model_algorithm_associations: Vec<String>,
    pub status: MlInputChannelStatus,
    pub status_details: Option<StatusDetails>,
    pub retention_in_days: i32,
    pub number_of_records: Option<i64>,
    pub privacy_budgets: Option<PrivacyBudgets>,
    pub description: Option<String>,
    pub synthetic_data_configuration: Option<SyntheticDataConfiguration>,
    pub create_time: DateTime,
    pub update_time: DateTime,
    pub input_channel: Option<InputChannel>,
    pub protected_query_identifier: Option<String>,
    pub number_of_files: Option<f64>,
    pub size_in_gb: Option<f64>,
    pub kms_key_arn: Option<String>,
    pub tags: Option<HashMap<String, 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.

membership_identifier: String

The membership ID of the membership that contains the ML input channel.

collaboration_identifier: String

The collaboration ID of the collaboration that contains the ML input channel.

ml_input_channel_arn: String

The Amazon Resource Name (ARN) of the ML input channel.

name: String

The name of the ML input channel.

configured_model_algorithm_associations: Vec<String>

The configured model algorithm associations that were used to create the ML input channel.

status: MlInputChannelStatus

The status of the ML input channel.

status_details: Option<StatusDetails>

Details about the status of a resource.

retention_in_days: i32

The number of days to keep the data in the ML input channel.

number_of_records: Option<i64>

The number of records in the ML input channel.

privacy_budgets: Option<PrivacyBudgets>

Returns the privacy budgets that control access to this Clean Rooms ML input channel. Use these budgets to monitor and limit resource consumption over specified time periods.

description: Option<String>

The description of the ML input channel.

synthetic_data_configuration: Option<SyntheticDataConfiguration>

The synthetic data configuration for this ML input channel, including parameters for generating privacy-preserving synthetic data and evaluation scores for measuring the privacy of the generated data.

create_time: DateTime

The time at which the ML input channel was created.

update_time: DateTime

The most recent time at which the ML input channel was updated.

input_channel: Option<InputChannel>

The input channel that was used to create the ML input channel.

protected_query_identifier: Option<String>

The ID of the protected query that was used to create the ML input channel.

number_of_files: Option<f64>

The number of files in the ML input channel.

size_in_gb: Option<f64>

The size, in GB, of the ML input channel.

kms_key_arn: Option<String>

The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.

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.

Implementations

impl GetMlInputChannelOutput

pub fn membership_identifier(&self) -> &str

The membership ID of the membership that contains the ML input channel.

pub fn collaboration_identifier(&self) -> &str

The collaboration ID of the collaboration that contains the ML input channel.

pub fn ml_input_channel_arn(&self) -> &str

The Amazon Resource Name (ARN) of the ML input channel.

pub fn name(&self) -> &str

The name of the ML input channel.

pub fn configured_model_algorithm_associations(&self) -> &[String]

The configured model algorithm associations that were used to create the ML input channel.

pub fn status(&self) -> &MlInputChannelStatus

The status of the ML input channel.

pub fn status_details(&self) -> Option<&StatusDetails>

Details about the status of a resource.

pub fn retention_in_days(&self) -> i32

The number of days to keep the data in the ML input channel.

pub fn number_of_records(&self) -> Option<i64>

The number of records in the ML input channel.

pub fn privacy_budgets(&self) -> Option<&PrivacyBudgets>

Returns the privacy budgets that control access to this Clean Rooms ML input channel. Use these budgets to monitor and limit resource consumption over specified time periods.

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

The description of the ML input channel.

pub fn synthetic_data_configuration( &self, ) -> Option<&SyntheticDataConfiguration>

The synthetic data configuration for this ML input channel, including parameters for generating privacy-preserving synthetic data and evaluation scores for measuring the privacy of the generated data.

pub fn create_time(&self) -> &DateTime

The time at which the ML input channel was created.

pub fn update_time(&self) -> &DateTime

The most recent time at which the ML input channel was updated.

pub fn input_channel(&self) -> Option<&InputChannel>

The input channel that was used to create the ML input channel.

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

The ID of the protected query that was used to create the ML input channel.

pub fn number_of_files(&self) -> Option<f64>

The number of files in the ML input channel.

pub fn size_in_gb(&self) -> Option<f64>

The size, in GB, of the ML input channel.

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

The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.

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.

impl GetMlInputChannelOutput

pub fn builder() -> GetMlInputChannelOutputBuilder

Creates a new builder-style object to manufacture GetMlInputChannelOutput.

Trait Implementations

impl Clone for GetMlInputChannelOutput

fn clone(&self) -> GetMlInputChannelOutput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetMlInputChannelOutput

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

Formats the value using the given formatter.

impl PartialEq for GetMlInputChannelOutput

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

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

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

impl StructuralPartialEq for GetMlInputChannelOutput