#[non_exhaustive]pub struct RecommenderConfigBuilder { /* private fields */ }
Expand description
A builder for RecommenderConfig
.
Implementations§
source§impl RecommenderConfigBuilder
impl RecommenderConfigBuilder
sourcepub fn item_exploration_config(
self,
k: impl Into<String>,
v: impl Into<String>
) -> Self
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).
sourcepub fn set_item_exploration_config(
self,
input: Option<HashMap<String, String>>
) -> Self
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).
sourcepub fn get_item_exploration_config(&self) -> &Option<HashMap<String, String>>
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).
sourcepub fn min_recommendation_requests_per_second(self, input: i32) -> Self
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.
sourcepub fn set_min_recommendation_requests_per_second(
self,
input: Option<i32>
) -> Self
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.
sourcepub fn get_min_recommendation_requests_per_second(&self) -> &Option<i32>
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.
sourcepub fn training_data_config(self, input: TrainingDataConfig) -> Self
pub fn training_data_config(self, input: TrainingDataConfig) -> Self
Specifies the training data configuration to use when creating a domain recommender.
sourcepub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self
pub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self
Specifies the training data configuration to use when creating a domain recommender.
sourcepub fn get_training_data_config(&self) -> &Option<TrainingDataConfig>
pub fn get_training_data_config(&self) -> &Option<TrainingDataConfig>
Specifies the training data configuration to use when creating a domain recommender.
sourcepub fn build(self) -> RecommenderConfig
pub fn build(self) -> RecommenderConfig
Consumes the builder and constructs a RecommenderConfig
.
Trait Implementations§
source§impl Clone for RecommenderConfigBuilder
impl Clone for RecommenderConfigBuilder
source§fn clone(&self) -> RecommenderConfigBuilder
fn clone(&self) -> RecommenderConfigBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for RecommenderConfigBuilder
impl Debug for RecommenderConfigBuilder
source§impl Default for RecommenderConfigBuilder
impl Default for RecommenderConfigBuilder
source§fn default() -> RecommenderConfigBuilder
fn default() -> RecommenderConfigBuilder
source§impl PartialEq for RecommenderConfigBuilder
impl PartialEq for RecommenderConfigBuilder
source§fn eq(&self, other: &RecommenderConfigBuilder) -> bool
fn eq(&self, other: &RecommenderConfigBuilder) -> bool
self
and other
values to be equal, and is used
by ==
.