Struct MlInputChannelSummary 

#[non_exhaustive]
pub struct MlInputChannelSummary {
    pub create_time: DateTime,
    pub update_time: DateTime,
    pub membership_identifier: String,
    pub collaboration_identifier: String,
    pub name: String,
    pub configured_model_algorithm_associations: Vec<String>,
    pub protected_query_identifier: Option<String>,
    pub ml_input_channel_arn: String,
    pub status: MlInputChannelStatus,
    pub description: Option<String>,
}

Provides summary information about the ML input channel.

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 ML input channel was created.

update_time: DateTime

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

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.

name: String

The name of the ML input channel.

configured_model_algorithm_associations: Vec<String>

The associated configured model algorithms 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.

ml_input_channel_arn: String

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

status: MlInputChannelStatus

The status of the ML input channel.

description: Option<String>

The description of the ML input channel.

Implementations

impl MlInputChannelSummary

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 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 name(&self) -> &str

The name of the ML input channel.

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

The associated configured model algorithms 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 ml_input_channel_arn(&self) -> &str

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

pub fn status(&self) -> &MlInputChannelStatus

The status of the ML input channel.

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

The description of the ML input channel.

impl MlInputChannelSummary

pub fn builder() -> MlInputChannelSummaryBuilder

Creates a new builder-style object to manufacture MlInputChannelSummary.

Trait Implementations

impl Clone for MlInputChannelSummary

fn clone(&self) -> MlInputChannelSummary

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MlInputChannelSummary

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

Formats the value using the given formatter.

impl PartialEq for MlInputChannelSummary

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