Struct aws_sdk_frauddetector::types::builders::AtiMetricDataPointBuilder

#[non_exhaustive]
pub struct AtiMetricDataPointBuilder { /* private fields */ }

A builder for AtiMetricDataPoint.

Implementations

impl AtiMetricDataPointBuilder

pub fn cr(self, input: f32) -> Self

The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.

pub fn set_cr(self, input: Option<f32>) -> Self

The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.

pub fn get_cr(&self) -> &Option<f32>

The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.

pub fn adr(self, input: f32) -> Self

The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.

pub fn set_adr(self, input: Option<f32>) -> Self

The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.

pub fn get_adr(&self) -> &Option<f32>

The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.

pub fn threshold(self, input: f32) -> Self

The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

pub fn set_threshold(self, input: Option<f32>) -> Self

The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

pub fn get_threshold(&self) -> &Option<f32>

The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

pub fn atodr(self, input: f32) -> Self

The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.

pub fn set_atodr(self, input: Option<f32>) -> Self

The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.

pub fn get_atodr(&self) -> &Option<f32>

The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.

pub fn build(self) -> AtiMetricDataPoint

Consumes the builder and constructs a AtiMetricDataPoint.

Trait Implementations

impl Clone for AtiMetricDataPointBuilder

fn clone(&self) -> AtiMetricDataPointBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AtiMetricDataPointBuilder

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

Formats the value using the given formatter.

impl Default for AtiMetricDataPointBuilder

fn default() -> AtiMetricDataPointBuilder

Returns the “default value” for a type.

impl PartialEq for AtiMetricDataPointBuilder

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