Struct aws_sdk_sagemaker::operation::update_inference_experiment::builders::UpdateInferenceExperimentFluentBuilder

pub struct UpdateInferenceExperimentFluentBuilder { /* private fields */ }

Fluent builder constructing a request to UpdateInferenceExperiment.

Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.

Implementations

impl UpdateInferenceExperimentFluentBuilder

pub fn as_input(&self) -> &UpdateInferenceExperimentInputBuilder

Access the UpdateInferenceExperiment as a reference.

pub async fn send( self ) -> Result<UpdateInferenceExperimentOutput, SdkError<UpdateInferenceExperimentError, HttpResponse>>

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 customize( self ) -> CustomizableOperation<UpdateInferenceExperimentOutput, UpdateInferenceExperimentError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The name of the inference experiment to be updated.

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

The name of the inference experiment to be updated.

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

The name of the inference experiment to be updated.

pub fn schedule(self, input: InferenceExperimentSchedule) -> Self

The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

pub fn set_schedule(self, input: Option<InferenceExperimentSchedule>) -> Self

The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

pub fn get_schedule(&self) -> &Option<InferenceExperimentSchedule>

The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

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

The description of the inference experiment.

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

The description of the inference experiment.

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

The description of the inference experiment.

pub fn model_variants(self, input: ModelVariantConfig) -> Self

Appends an item to ModelVariants.

To override the contents of this collection use set_model_variants.

An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

pub fn set_model_variants(self, input: Option<Vec<ModelVariantConfig>>) -> Self

An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

pub fn get_model_variants(&self) -> &Option<Vec<ModelVariantConfig>>

An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

pub fn data_storage_config( self, input: InferenceExperimentDataStorageConfig ) -> Self

The Amazon S3 location and configuration for storing inference request and response data.

pub fn set_data_storage_config( self, input: Option<InferenceExperimentDataStorageConfig> ) -> Self

The Amazon S3 location and configuration for storing inference request and response data.

pub fn get_data_storage_config( &self ) -> &Option<InferenceExperimentDataStorageConfig>

The Amazon S3 location and configuration for storing inference request and response data.

pub fn shadow_mode_config(self, input: ShadowModeConfig) -> Self

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

pub fn set_shadow_mode_config(self, input: Option<ShadowModeConfig>) -> Self

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

pub fn get_shadow_mode_config(&self) -> &Option<ShadowModeConfig>

The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

Trait Implementations

impl Clone for UpdateInferenceExperimentFluentBuilder

fn clone(&self) -> UpdateInferenceExperimentFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateInferenceExperimentFluentBuilder

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

Formats the value using the given formatter.