software.amazon.awssdk.services.frauddetector.model

Interface ATIMetricDataPoint.Builder

All Superinterfaces:

Buildable, CopyableBuilder<ATIMetricDataPoint.Builder,ATIMetricDataPoint>, SdkBuilder<ATIMetricDataPoint.Builder,ATIMetricDataPoint>, SdkPojo

Enclosing class:

ATIMetricDataPoint

public static interface ATIMetricDataPoint.Builder
extends SdkPojo, CopyableBuilder<ATIMetricDataPoint.Builder,ATIMetricDataPoint>

Method Summary

Modifier and Type	Method and Description
ATIMetricDataPoint.Builder	adr(Float adr) The anomaly discovery rate.
ATIMetricDataPoint.Builder	atodr(Float atodr) The account takeover discovery rate.
ATIMetricDataPoint.Builder	cr(Float cr) The challenge rate.
ATIMetricDataPoint.Builder	threshold(Float threshold) The model's threshold that specifies an acceptable fraud capture rate.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

cr

ATIMetricDataPoint.Builder cr(Float cr)

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.

Parameters:

cr - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

adr

ATIMetricDataPoint.Builder adr(Float adr)

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.

Parameters:

adr - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

threshold

ATIMetricDataPoint.Builder threshold(Float threshold)

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.

Parameters:

threshold - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

atodr

ATIMetricDataPoint.Builder atodr(Float atodr)

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.

Parameters:

atodr - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.