Struct AutoMlConfig 

#[non_exhaustive]
pub struct AutoMlConfig {
    pub metric_name: Option<String>,
    pub recipe_list: Option<Vec<String>>,
}

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.

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.

metric_name: Option<String>

The metric to optimize.

recipe_list: Option<Vec<String>>

The list of candidate recipes.

Implementations

impl AutoMlConfig

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

The metric to optimize.

pub fn recipe_list(&self) -> &[String]

The list of candidate recipes.

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

impl AutoMlConfig

pub fn builder() -> AutoMlConfigBuilder

Creates a new builder-style object to manufacture AutoMlConfig.

Trait Implementations

impl Clone for AutoMlConfig

fn clone(&self) -> AutoMlConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AutoMlConfig

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

Formats the value using the given formatter.

impl PartialEq for AutoMlConfig

fn eq(&self, other: &AutoMlConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for AutoMlConfig