Struct aws_sdk_machinelearning::output::CreateMlModelOutput

#[non_exhaustive]
pub struct CreateMlModelOutput {
    pub ml_model_id: Option<String>,
}

Represents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request.

The CreateMLModel operation is asynchronous. You can poll for status updates by using the GetMLModel operation and checking the Status parameter.

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.

ml_model_id: Option<String>

A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelId in the request.

Implementations

impl CreateMlModelOutput

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

A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelId in the request.

impl CreateMlModelOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateMlModelOutput

Trait Implementations

impl Clone for CreateMlModelOutput

fn clone(&self) -> CreateMlModelOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateMlModelOutput

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

Formats the value using the given formatter.

impl PartialEq<CreateMlModelOutput> for CreateMlModelOutput

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl StructuralPartialEq for CreateMlModelOutput