[][src]Struct rusoto_sagemaker::ProductionVariant

pub struct ProductionVariant {
    pub accelerator_type: Option<String>,
    pub initial_instance_count: i64,
    pub initial_variant_weight: Option<f32>,
    pub instance_type: String,
    pub model_name: String,
    pub variant_name: String,
}

Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

Fields

accelerator_type: Option<String>

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker. For more information, see Using Elastic Inference in Amazon SageMaker.

initial_instance_count: i64

Number of instances to launch initially.

initial_variant_weight: Option<f32>

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

instance_type: String

The ML compute instance type.

model_name: String

The name of the model that you want to host. This is the name that you specified when creating the model.

variant_name: String

The name of the production variant.

Trait Implementations

impl PartialEq<ProductionVariant> for ProductionVariant[src]

impl Default for ProductionVariant[src]

impl Clone for ProductionVariant[src]

fn clone_from(&mut self, source: &Self)1.0.0[src]

Performs copy-assignment from source. Read more

impl Debug for ProductionVariant[src]

impl<'de> Deserialize<'de> for ProductionVariant[src]

impl Serialize for ProductionVariant[src]

Auto Trait Implementations

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