Struct aws_sdk_personalize::types::RecommenderConfig

#[non_exhaustive]
pub struct RecommenderConfig {
    pub item_exploration_config: Option<HashMap<String, String>>,
    pub min_recommendation_requests_per_second: Option<i32>,
    pub training_data_config: Option<TrainingDataConfig>,
    pub enable_metadata_with_recommendations: Option<bool>,
}

The configuration details of the recommender.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

item_exploration_config: Option<HashMap<String, String>>

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

min_recommendation_requests_per_second: Option<i32>

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.

training_data_config: Option<TrainingDataConfig>

Specifies the training data configuration to use when creating a domain recommender.

enable_metadata_with_recommendations: Option<bool>

Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response.

If you enable metadata in recommendations, you will incur additional costs. For more information, see Amazon Personalize pricing.

Implementations

impl RecommenderConfig

pub fn item_exploration_config(&self) -> Option<&HashMap<String, String>>

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

pub fn min_recommendation_requests_per_second(&self) -> Option<i32>

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.

pub fn training_data_config(&self) -> Option<&TrainingDataConfig>

Specifies the training data configuration to use when creating a domain recommender.

pub fn enable_metadata_with_recommendations(&self) -> Option<bool>

Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response.

If you enable metadata in recommendations, you will incur additional costs. For more information, see Amazon Personalize pricing.

impl RecommenderConfig

pub fn builder() -> RecommenderConfigBuilder

Creates a new builder-style object to manufacture RecommenderConfig.

Trait Implementations

impl Clone for RecommenderConfig

fn clone(&self) -> RecommenderConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RecommenderConfig

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

Formats the value using the given formatter.

impl PartialEq for RecommenderConfig

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