| Copyright | (c) 2013-2023 Brendan Hay |
|---|---|
| License | Mozilla Public License, v. 2.0. |
| Maintainer | Brendan Hay |
| Stability | auto-generated |
| Portability | non-portable (GHC extensions) |
| Safe Haskell | Safe-Inferred |
| Language | Haskell2010 |
Amazonka.FraudDetector.Types.AggregatedVariablesImpactExplanation
Description
Synopsis
- data AggregatedVariablesImpactExplanation = AggregatedVariablesImpactExplanation' {}
- newAggregatedVariablesImpactExplanation :: AggregatedVariablesImpactExplanation
- aggregatedVariablesImpactExplanation_eventVariableNames :: Lens' AggregatedVariablesImpactExplanation (Maybe [Text])
- aggregatedVariablesImpactExplanation_logOddsImpact :: Lens' AggregatedVariablesImpactExplanation (Maybe Double)
- aggregatedVariablesImpactExplanation_relativeImpact :: Lens' AggregatedVariablesImpactExplanation (Maybe Text)
Documentation
data AggregatedVariablesImpactExplanation Source #
The details of the impact of aggregated variables on the prediction score.
Account Takeover Insights (ATI) model uses the login data you provide to
continuously calculate a set of variables (aggregated variables) based
on historical events. For example, the 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.
See: newAggregatedVariablesImpactExplanation smart constructor.
Constructors
| AggregatedVariablesImpactExplanation' | |
Fields
| |
Instances
newAggregatedVariablesImpactExplanation :: AggregatedVariablesImpactExplanation Source #
Create a value of AggregatedVariablesImpactExplanation with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:eventVariableNames:AggregatedVariablesImpactExplanation', aggregatedVariablesImpactExplanation_eventVariableNames - The names of all the event variables that were used to derive the
aggregated variables.
$sel:logOddsImpact:AggregatedVariablesImpactExplanation', aggregatedVariablesImpactExplanation_logOddsImpact - The raw, uninterpreted value represented as log-odds of the fraud. These
values are usually between -10 to +10, but range from -infinity to
+infinity.
- A positive value indicates that the variables drove the risk score up.
- A negative value indicates that the variables drove the risk score down.
$sel:relativeImpact:AggregatedVariablesImpactExplanation', aggregatedVariablesImpactExplanation_relativeImpact - The relative impact of the aggregated variables in terms of magnitude on
the prediction scores.
aggregatedVariablesImpactExplanation_eventVariableNames :: Lens' AggregatedVariablesImpactExplanation (Maybe [Text]) Source #
The names of all the event variables that were used to derive the aggregated variables.
aggregatedVariablesImpactExplanation_logOddsImpact :: Lens' AggregatedVariablesImpactExplanation (Maybe Double) Source #
The raw, uninterpreted value represented as log-odds of the fraud. These values are usually between -10 to +10, but range from -infinity to +infinity.
- A positive value indicates that the variables drove the risk score up.
- A negative value indicates that the variables drove the risk score down.
aggregatedVariablesImpactExplanation_relativeImpact :: Lens' AggregatedVariablesImpactExplanation (Maybe Text) Source #
The relative impact of the aggregated variables in terms of magnitude on the prediction scores.