Struct aws_sdk_personalize::operation::create_solution_version::CreateSolutionVersionInput

#[non_exhaustive]
pub struct CreateSolutionVersionInput {
    pub name: Option<String>,
    pub solution_arn: Option<String>,
    pub training_mode: Option<TrainingMode>,
    pub tags: Option<Vec<Tag>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name: Option<String>

The name of the solution version.

solution_arn: Option<String>

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

training_mode: 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.

tags: Option<Vec<Tag>>

A list of tags to apply to the solution version.

Implementations

impl CreateSolutionVersionInput

pub fn name(&self) -> Option<&str>

The name of the solution version.

pub fn solution_arn(&self) -> Option<&str>

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

pub fn 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) -> &[Tag]

A list of tags to apply to the solution version.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().

impl CreateSolutionVersionInput

pub fn builder() -> CreateSolutionVersionInputBuilder

Creates a new builder-style object to manufacture CreateSolutionVersionInput.

Trait Implementations

impl Clone for CreateSolutionVersionInput

fn clone(&self) -> CreateSolutionVersionInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateSolutionVersionInput

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

Formats the value using the given formatter.

impl PartialEq for CreateSolutionVersionInput

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