Struct aws_sdk_machinelearning::operation::update_ml_model::builders::UpdateMlModelInputBuilder

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

A builder for UpdateMlModelInput.

Implementations

impl UpdateMlModelInputBuilder

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

The ID assigned to the MLModel during creation.

This field is required.

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

The ID assigned to the MLModel during creation.

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

The ID assigned to the MLModel during creation.

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

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

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

A user-supplied name or description of the MLModel.

pub fn score_threshold(self, input: f32) -> Self

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

pub fn set_score_threshold(self, input: Option<f32>) -> Self

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

pub fn get_score_threshold(&self) -> &Option<f32>

The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

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

Consumes the builder and constructs a UpdateMlModelInput.

impl UpdateMlModelInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for UpdateMlModelInputBuilder

fn clone(&self) -> UpdateMlModelInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateMlModelInputBuilder

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

Formats the value using the given formatter.

impl Default for UpdateMlModelInputBuilder

fn default() -> UpdateMlModelInputBuilder

Returns the “default value” for a type.

impl PartialEq for UpdateMlModelInputBuilder

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