[][src]Struct rusoto_personalize::SolutionVersion

pub struct SolutionVersion {
    pub creation_date_time: Option<f64>,
    pub dataset_group_arn: Option<String>,
    pub event_type: Option<String>,
    pub failure_reason: Option<String>,
    pub last_updated_date_time: Option<f64>,
    pub perform_auto_ml: Option<bool>,
    pub perform_hpo: Option<bool>,
    pub recipe_arn: Option<String>,
    pub solution_arn: Option<String>,
    pub solution_config: Option<SolutionConfig>,
    pub solution_version_arn: Option<String>,
    pub status: Option<String>,
    pub training_hours: Option<f64>,
    pub training_mode: Option<String>,
    pub tuned_hpo_params: Option<TunedHPOParams>,
}

An object that provides information about a specific version of a Solution.

Fields

creation_date_time: Option<f64>

The date and time (in Unix time) that this version of the solution was created.

dataset_group_arn: Option<String>

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

event_type: Option<String>

The event type (for example, 'click' or 'like') that is used for training the model.

failure_reason: Option<String>

If training a solution version fails, the reason for the failure.

last_updated_date_time: Option<f64>

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

perform_auto_ml: Option<bool>

When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

perform_hpo: Option<bool>

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

recipe_arn: Option<String>

The ARN of the recipe used in the solution.

solution_arn: Option<String>

The ARN of the solution.

solution_config: Option<SolutionConfig>

Describes the configuration properties for the solution.

solution_version_arn: Option<String>

The ARN of the solution version.

status: Option<String>

The status of the solution version.

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

  • CREATE PENDING

  • CREATE IN_PROGRESS

  • ACTIVE

  • CREATE FAILED

training_hours: Option<f64>

The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

training_mode: Option<String>

The scope of training used to create the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the training data that has changed since the creation of the last solution version. Choose UPDATE when you want to start recommending items added to the dataset without retraining the model.

The UPDATE option can only be used after you've created a solution version with the FULL option and the training solution uses the native-recipe-hrnn-coldstart.

tuned_hpo_params: Option<TunedHPOParams>

If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

Trait Implementations

impl Clone for SolutionVersion[src]

impl Debug for SolutionVersion[src]

impl Default for SolutionVersion[src]

impl<'de> Deserialize<'de> for SolutionVersion[src]

impl PartialEq<SolutionVersion> for SolutionVersion[src]

impl StructuralPartialEq for SolutionVersion[src]

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