[−][src]Struct rusoto_personalize::SolutionVersion
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.
Trait Implementations
impl Clone for SolutionVersion
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fn clone(&self) -> SolutionVersion
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fn clone_from(&mut self, source: &Self)
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impl Debug for SolutionVersion
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impl Default for SolutionVersion
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fn default() -> SolutionVersion
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impl<'de> Deserialize<'de> for SolutionVersion
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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<SolutionVersion> for SolutionVersion
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fn eq(&self, other: &SolutionVersion) -> bool
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fn ne(&self, other: &SolutionVersion) -> bool
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impl StructuralPartialEq for SolutionVersion
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Auto Trait Implementations
impl RefUnwindSafe for SolutionVersion
impl Send for SolutionVersion
impl Sync for SolutionVersion
impl Unpin for SolutionVersion
impl UnwindSafe for SolutionVersion
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: Deserialize<'de>,
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T: Deserialize<'de>,
impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,