Struct aws_sdk_personalize::types::builders::RecommenderConfigBuilder

#[non_exhaustive]
pub struct RecommenderConfigBuilder { /* private fields */ }

A builder for RecommenderConfig.

Implementations

impl RecommenderConfigBuilder

pub fn item_exploration_config( self, k: impl Into<String>, v: impl Into<String> ) -> Self

Adds a key-value pair to item_exploration_config.

To override the contents of this collection use set_item_exploration_config.

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 set_item_exploration_config( self, input: Option<HashMap<String, String>> ) -> Self

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 get_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, input: i32) -> Self

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 set_min_recommendation_requests_per_second( self, input: Option<i32> ) -> Self

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 get_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, input: TrainingDataConfig) -> Self

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

pub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self

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

pub fn get_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, input: bool) -> Self

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.

pub fn set_enable_metadata_with_recommendations( self, input: Option<bool> ) -> Self

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.

pub fn get_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.

pub fn build(self) -> RecommenderConfig

Consumes the builder and constructs a RecommenderConfig.

Trait Implementations

impl Clone for RecommenderConfigBuilder

fn clone(&self) -> RecommenderConfigBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RecommenderConfigBuilder

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

Formats the value using the given formatter.

impl Default for RecommenderConfigBuilder

fn default() -> RecommenderConfigBuilder

Returns the “default value” for a type.

impl PartialEq for RecommenderConfigBuilder

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