Struct aws_sdk_frauddetector::types::AggregatedVariablesImportanceMetrics

#[non_exhaustive]
pub struct AggregatedVariablesImportanceMetrics {
    pub log_odds_metrics: Option<Vec<AggregatedLogOddsMetric>>,
}

The details of the relative importance of the aggregated variables.

Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are IP address and user.

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.

log_odds_metrics: Option<Vec<AggregatedLogOddsMetric>>

List of variables' metrics.

Implementations

impl AggregatedVariablesImportanceMetrics

pub fn log_odds_metrics(&self) -> &[AggregatedLogOddsMetric]

List of variables' metrics.

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

impl AggregatedVariablesImportanceMetrics

pub fn builder() -> AggregatedVariablesImportanceMetricsBuilder

Creates a new builder-style object to manufacture AggregatedVariablesImportanceMetrics.

Trait Implementations

impl Clone for AggregatedVariablesImportanceMetrics

fn clone(&self) -> AggregatedVariablesImportanceMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AggregatedVariablesImportanceMetrics

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

Formats the value using the given formatter.

impl PartialEq for AggregatedVariablesImportanceMetrics

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