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 |
Synopsis
- data PredictionExplanations = PredictionExplanations' {}
- newPredictionExplanations :: PredictionExplanations
- predictionExplanations_aggregatedVariablesImpactExplanations :: Lens' PredictionExplanations (Maybe [AggregatedVariablesImpactExplanation])
- predictionExplanations_variableImpactExplanations :: Lens' PredictionExplanations (Maybe [VariableImpactExplanation])
Documentation
data PredictionExplanations Source #
The prediction explanations that provide insight into how each event variable impacted the model version's fraud prediction score.
See: newPredictionExplanations
smart constructor.
PredictionExplanations' | |
|
Instances
newPredictionExplanations :: PredictionExplanations Source #
Create a value of PredictionExplanations
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:aggregatedVariablesImpactExplanations:PredictionExplanations'
, predictionExplanations_aggregatedVariablesImpactExplanations
- The details of the aggregated variables impact on the prediction score.
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
.
$sel:variableImpactExplanations:PredictionExplanations'
, predictionExplanations_variableImpactExplanations
- The details of the event variable's impact on the prediction score.
predictionExplanations_aggregatedVariablesImpactExplanations :: Lens' PredictionExplanations (Maybe [AggregatedVariablesImpactExplanation]) Source #
The details of the aggregated variables impact on the prediction score.
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
.
predictionExplanations_variableImpactExplanations :: Lens' PredictionExplanations (Maybe [VariableImpactExplanation]) Source #
The details of the event variable's impact on the prediction score.