Struct aws_sdk_personalize::types::builders::SolutionBuilder

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

A builder for Solution.

Implementations

impl SolutionBuilder

pub fn name(self, input: impl Into<String>) -> Self

The name of the solution.

pub fn set_name(self, input: Option<String>) -> Self

The name of the solution.

pub fn get_name(&self) -> &Option<String>

The name of the solution.

pub fn solution_arn(self, input: impl Into<String>) -> Self

The ARN of the solution.

pub fn set_solution_arn(self, input: Option<String>) -> Self

The ARN of the solution.

pub fn get_solution_arn(&self) -> &Option<String>

The ARN of the solution.

pub fn perform_hpo(self, input: bool) -> Self

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

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

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

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

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

pub fn perform_auto_ml(self, input: bool) -> Self

We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case.

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

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

We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case.

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

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

We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case.

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

pub fn recipe_arn(self, input: impl Into<String>) -> Self

The ARN of the recipe used to create the solution. This is required when performAutoML is false.

pub fn set_recipe_arn(self, input: Option<String>) -> Self

The ARN of the recipe used to create the solution. This is required when performAutoML is false.

pub fn get_recipe_arn(&self) -> &Option<String>

The ARN of the recipe used to create the solution. This is required when performAutoML is false.

pub fn dataset_group_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

pub fn set_dataset_group_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

pub fn get_dataset_group_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

pub fn event_type(self, input: impl Into<String>) -> Self

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

pub fn set_event_type(self, input: Option<String>) -> Self

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

pub fn get_event_type(&self) -> &Option<String>

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

pub fn solution_config(self, input: SolutionConfig) -> Self

Describes the configuration properties for the solution.

pub fn set_solution_config(self, input: Option<SolutionConfig>) -> Self

Describes the configuration properties for the solution.

pub fn get_solution_config(&self) -> &Option<SolutionConfig>

Describes the configuration properties for the solution.

pub fn auto_ml_result(self, input: AutoMlResult) -> Self

When performAutoML is true, specifies the best recipe found.

pub fn set_auto_ml_result(self, input: Option<AutoMlResult>) -> Self

When performAutoML is true, specifies the best recipe found.

pub fn get_auto_ml_result(&self) -> &Option<AutoMlResult>

When performAutoML is true, specifies the best recipe found.

pub fn status(self, input: impl Into<String>) -> Self

The status of the solution.

A solution can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

• DELETE PENDING > DELETE IN_PROGRESS

pub fn set_status(self, input: Option<String>) -> Self

The status of the solution.

A solution can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

• DELETE PENDING > DELETE IN_PROGRESS

pub fn get_status(&self) -> &Option<String>

The status of the solution.

A solution can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

• DELETE PENDING > DELETE IN_PROGRESS

pub fn creation_date_time(self, input: DateTime) -> Self

The creation date and time (in Unix time) of the solution.

pub fn set_creation_date_time(self, input: Option<DateTime>) -> Self

The creation date and time (in Unix time) of the solution.

pub fn get_creation_date_time(&self) -> &Option<DateTime>

The creation date and time (in Unix time) of the solution.

pub fn last_updated_date_time(self, input: DateTime) -> Self

The date and time (in Unix time) that the solution was last updated.

pub fn set_last_updated_date_time(self, input: Option<DateTime>) -> Self

The date and time (in Unix time) that the solution was last updated.

pub fn get_last_updated_date_time(&self) -> &Option<DateTime>

The date and time (in Unix time) that the solution was last updated.

pub fn latest_solution_version(self, input: SolutionVersionSummary) -> Self

Describes the latest version of the solution, including the status and the ARN.

pub fn set_latest_solution_version( self, input: Option<SolutionVersionSummary> ) -> Self

Describes the latest version of the solution, including the status and the ARN.

pub fn get_latest_solution_version(&self) -> &Option<SolutionVersionSummary>

Describes the latest version of the solution, including the status and the ARN.

pub fn build(self) -> Solution

Consumes the builder and constructs a Solution.

Trait Implementations

impl Clone for SolutionBuilder

fn clone(&self) -> SolutionBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SolutionBuilder

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

Formats the value using the given formatter.

impl Default for SolutionBuilder

fn default() -> SolutionBuilder

Returns the “default value” for a type.

impl PartialEq for SolutionBuilder

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