Struct aws_sdk_machinelearning::client::fluent_builders::UpdateMLModel

pub struct UpdateMLModel { /* private fields */ }

Fluent builder constructing a request to UpdateMLModel.

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

Implementations

impl UpdateMLModel

pub async fn customize(
    self
) -> Result<CustomizableOperation<UpdateMLModel, AwsResponseRetryClassifier>, SdkError<UpdateMLModelError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<UpdateMlModelOutput, SdkError<UpdateMLModelError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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

The ID assigned to the MLModel during creation.

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

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 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.

Trait Implementations

impl Clone for UpdateMLModel

fn clone(&self) -> UpdateMLModel

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateMLModel

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

Formats the value using the given formatter.