Struct aws_sdk_machinelearning::input::CreateEvaluationInput

#[non_exhaustive]
pub struct CreateEvaluationInput { /* private fields */ }

Implementations

impl CreateEvaluationInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<CreateEvaluation, AwsResponseRetryClassifier>, BuildError>

Consumes the builder and constructs an Operation<CreateEvaluation>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateEvaluationInput.

impl CreateEvaluationInput

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

A user-supplied ID that uniquely identifies the Evaluation.

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

A user-supplied name or description of the Evaluation.

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

The ID of the MLModel to evaluate.

The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

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

The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

Trait Implementations

impl Clone for CreateEvaluationInput

fn clone(&self) -> CreateEvaluationInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateEvaluationInput

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

Formats the value using the given formatter.

impl PartialEq<CreateEvaluationInput> for CreateEvaluationInput

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

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

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

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

impl StructuralPartialEq for CreateEvaluationInput