Struct aws_sdk_machinelearning::input::UpdateMlModelInput

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

Implementations

impl UpdateMlModelInput

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

Consumes the builder and constructs an Operation<UpdateMLModel>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture UpdateMlModelInput.

impl UpdateMlModelInput

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

The ID assigned to the MLModel during creation.

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

A user-supplied name or description of the MLModel.

pub fn 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.

Trait Implementations

impl Clone for UpdateMlModelInput

fn clone(&self) -> UpdateMlModelInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateMlModelInput

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

Formats the value using the given formatter.

impl PartialEq<UpdateMlModelInput> for UpdateMlModelInput

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