Struct aws_sdk_personalize::operation::create_solution_version::builders::CreateSolutionVersionFluentBuilder

pub struct CreateSolutionVersionFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateSolutionVersion.

Trains or retrains an active solution in a Custom dataset group. A solution is created using the CreateSolution operation and must be in the ACTIVE state before calling CreateSolutionVersion. A new version of the solution is created every time you call this operation.

Status

A solution version can be in one of the following states:

• CREATE PENDING

• CREATE IN_PROGRESS

• ACTIVE

• CREATE FAILED

• CREATE STOPPING

• CREATE STOPPED

To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE before calling CreateCampaign.

If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Related APIs

• ListSolutionVersions

• DescribeSolutionVersion

• ListSolutions

• CreateSolution

• DescribeSolution

• DeleteSolution

Implementations

impl CreateSolutionVersionFluentBuilder

pub fn as_input(&self) -> &CreateSolutionVersionInputBuilder

Access the CreateSolutionVersion as a reference.

pub async fn send( self ) -> Result<CreateSolutionVersionOutput, SdkError<CreateSolutionVersionError, HttpResponse>>

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, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<CreateSolutionVersionOutput, CreateSolutionVersionError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The name of the solution version.

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

The name of the solution version.

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

The name of the solution version.

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

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

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

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

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

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

pub fn training_mode(self, input: TrainingMode) -> Self

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

pub fn set_training_mode(self, input: Option<TrainingMode>) -> Self

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

pub fn get_training_mode(&self) -> &Option<TrainingMode>

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

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 version.

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

A list of tags to apply to the solution version.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

A list of tags to apply to the solution version.

Trait Implementations

impl Clone for CreateSolutionVersionFluentBuilder

fn clone(&self) -> CreateSolutionVersionFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateSolutionVersionFluentBuilder

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

Formats the value using the given formatter.