Struct aws_sdk_sagemaker::input::update_inference_experiment_input::Builder

pub struct Builder { /* private fields */ }

A builder for UpdateInferenceExperimentInput.

Implementations

impl Builder

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 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 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 model_variants(self, input: ModelVariantConfig) -> Self

Appends an item to model_variants.

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 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 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 build(self) -> Result<UpdateInferenceExperimentInput, BuildError>

Consumes the builder and constructs a UpdateInferenceExperimentInput.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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