Struct aws_sdk_personalize::input::create_solution_input::Builder

pub struct Builder { /* private fields */ }

A builder for CreateSolutionInput.

Implementations

impl Builder

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

The name for the solution.

Examples found in repository

src/client.rs (line 2477)

        pub fn name(mut self, input: impl Into<std::string::String>) -> Self {
            self.inner = self.inner.name(input.into());
            self
        }

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

The name for the solution.

Examples found in repository

src/client.rs (line 2482)

        pub fn set_name(mut self, input: std::option::Option<std::string::String>) -> Self {
            self.inner = self.inner.set_name(input);
            self
        }

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

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

When performing AutoML, this parameter is always true and you should not set it to false.

Examples found in repository

src/client.rs (line 2488)

        pub fn perform_hpo(mut self, input: bool) -> Self {
            self.inner = self.inner.perform_hpo(input);
            self
        }

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

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

When performing AutoML, this parameter is always true and you should not set it to false.

Examples found in repository

src/client.rs (line 2494)

        pub fn set_perform_hpo(mut self, input: std::option::Option<bool>) -> Self {
            self.inner = self.inner.set_perform_hpo(input);
            self
        }

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

Whether to perform automated machine learning (AutoML). The default is false. For this case, you must specify recipeArn.

When set to true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit recipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

Examples found in repository

src/client.rs (line 2500)

        pub fn perform_auto_ml(mut self, input: bool) -> Self {
            self.inner = self.inner.perform_auto_ml(input);
            self
        }

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

Whether to perform automated machine learning (AutoML). The default is false. For this case, you must specify recipeArn.

When set to true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit recipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

Examples found in repository

src/client.rs (line 2506)

        pub fn set_perform_auto_ml(mut self, input: std::option::Option<bool>) -> Self {
            self.inner = self.inner.set_perform_auto_ml(input);
            self
        }

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

The ARN of the recipe to use for model training. Only specified when performAutoML is false.

Examples found in repository

src/client.rs (line 2511)

        pub fn recipe_arn(mut self, input: impl Into<std::string::String>) -> Self {
            self.inner = self.inner.recipe_arn(input.into());
            self
        }

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

The ARN of the recipe to use for model training. Only specified when performAutoML is false.

Examples found in repository

src/client.rs (line 2516)

        pub fn set_recipe_arn(mut self, input: std::option::Option<std::string::String>) -> Self {
            self.inner = self.inner.set_recipe_arn(input);
            self
        }

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.

Examples found in repository

src/client.rs (line 2521)

        pub fn dataset_group_arn(mut self, input: impl Into<std::string::String>) -> Self {
            self.inner = self.inner.dataset_group_arn(input.into());
            self
        }

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.

Examples found in repository

src/client.rs (line 2529)

        pub fn set_dataset_group_arn(
            mut self,
            input: std::option::Option<std::string::String>,
        ) -> Self {
            self.inner = self.inner.set_dataset_group_arn(input);
            self
        }

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

When your have multiple event types (using an EVENT_TYPE schema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.

If you do not provide an eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.

Examples found in repository

src/client.rs (line 2535)

        pub fn event_type(mut self, input: impl Into<std::string::String>) -> Self {
            self.inner = self.inner.event_type(input.into());
            self
        }

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

When your have multiple event types (using an EVENT_TYPE schema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.

If you do not provide an eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.

Examples found in repository

src/client.rs (line 2541)

        pub fn set_event_type(mut self, input: std::option::Option<std::string::String>) -> Self {
            self.inner = self.inner.set_event_type(input);
            self
        }

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

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

Examples found in repository

src/client.rs (line 2548)

        pub fn solution_config(mut self, input: crate::model::SolutionConfig) -> Self {
            self.inner = self.inner.solution_config(input);
            self
        }

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

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

Examples found in repository

src/client.rs (line 2558)

        pub fn set_solution_config(
            mut self,
            input: std::option::Option<crate::model::SolutionConfig>,
        ) -> Self {
            self.inner = self.inner.set_solution_config(input);
            self
        }

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

A list of tags to apply to the solution.

Examples found in repository

src/client.rs (line 2567)

        pub fn tags(mut self, input: crate::model::Tag) -> Self {
            self.inner = self.inner.tags(input);
            self
        }

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

A list of tags to apply to the solution.

Examples found in repository

src/client.rs (line 2575)

        pub fn set_tags(
            mut self,
            input: std::option::Option<std::vec::Vec<crate::model::Tag>>,
        ) -> Self {
            self.inner = self.inner.set_tags(input);
            self
        }

pub fn build(self) -> Result<CreateSolutionInput, BuildError>

Consumes the builder and constructs a CreateSolutionInput.

Examples found in repository

src/client.rs (line 2444)

        pub async fn customize(
            self,
        ) -> std::result::Result<
            crate::operation::customize::CustomizableOperation<
                crate::operation::CreateSolution,
                aws_http::retry::AwsResponseRetryClassifier,
            >,
            aws_smithy_http::result::SdkError<crate::error::CreateSolutionError>,
        > {
            let handle = self.handle.clone();
            let operation = self
                .inner
                .build()
                .map_err(aws_smithy_http::result::SdkError::construction_failure)?
                .make_operation(&handle.conf)
                .await
                .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
            Ok(crate::operation::customize::CustomizableOperation { handle, operation })
        }

        /// Sends the request and returns the response.
        ///
        /// If an error occurs, an `SdkError` will be returned with additional details that
        /// can be matched against.
        ///
        /// By default, any retryable failures will be retried twice. Retry behavior
        /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
        /// set when configuring the client.
        pub async fn send(
            self,
        ) -> std::result::Result<
            crate::output::CreateSolutionOutput,
            aws_smithy_http::result::SdkError<crate::error::CreateSolutionError>,
        > {
            let op = self
                .inner
                .build()
                .map_err(aws_smithy_http::result::SdkError::construction_failure)?
                .make_operation(&self.handle.conf)
                .await
                .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
            self.handle.client.call(op).await
        }

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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