Struct aws_sdk_machinelearning::operation::create_evaluation::builders::CreateEvaluationInputBuilder

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

A builder for CreateEvaluationInput.

Implementations

impl CreateEvaluationInputBuilder

pub fn evaluation_id(self, input: impl Into<String>) -> Self

A user-supplied ID that uniquely identifies the Evaluation.

This field is required.

pub fn set_evaluation_id(self, input: Option<String>) -> Self

A user-supplied ID that uniquely identifies the Evaluation.

pub fn get_evaluation_id(&self) -> &Option<String>

A user-supplied ID that uniquely identifies the Evaluation.

pub fn evaluation_name(self, input: impl Into<String>) -> Self

A user-supplied name or description of the Evaluation.

pub fn set_evaluation_name(self, input: Option<String>) -> Self

A user-supplied name or description of the Evaluation.

pub fn get_evaluation_name(&self) -> &Option<String>

A user-supplied name or description of the Evaluation.

pub fn ml_model_id(self, input: impl Into<String>) -> Self

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.

This field is required.

pub fn set_ml_model_id(self, input: Option<String>) -> Self

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 get_ml_model_id(&self) -> &Option<String>

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, input: impl Into<String>) -> Self

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

This field is required.

pub fn set_evaluation_data_source_id(self, input: Option<String>) -> Self

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

pub fn get_evaluation_data_source_id(&self) -> &Option<String>

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

pub fn build(self) -> Result<CreateEvaluationInput, BuildError>

Consumes the builder and constructs a CreateEvaluationInput.

impl CreateEvaluationInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<CreateEvaluationOutput, SdkError<CreateEvaluationError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateEvaluationInputBuilder

fn clone(&self) -> CreateEvaluationInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateEvaluationInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateEvaluationInputBuilder

fn default() -> CreateEvaluationInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateEvaluationInputBuilder

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